View Full Version : Dodecad K12b Ancient West Eurasia [by Eupedia Team]
Here are all of the coordinates for Dodecad K12b Ancient West Eurasia. The sample list will continue to be updated.
Produced by Jovialis, Durate, and contributions by Maciamo.
Updated: April 25, 2020
Total number of ancient DNA samples: 959
Paste coordinates in the source tab of http://vahaduo.genetics.ovh/dodecad-k12b-vahaduo.htm
Download the coordinates here: http://www.mediafire.com/file/c9zxqrbx7o24s72/Dodecad_K12b_Ancient__West_Eurasia.docx/file
Also available on Admixture Studio:
https://i.imgur.com/wh8EbFi.png
mine
Distance to:
Torziok12b
1.89726118
R55_Medieval_Era_Villa_Magna
4.40054542
I4331_Balkans_BronzeAge
4.63928874
R105_Late_Antiquity_Crypta_Balbi
4.65249395
R474_Iron_Age_Civitavecchia
4.82277928
CL23
4.86300319
R1_Iron_Age_Protovillanovan_Martinsicuro
5.02880702
I4332_Balkans_BronzeAge
5.21492090
R33_Late_Antiquity_Mausole_di_Augusto
6.00532264
SZ28
6.60955369
CL49
6.88000000
I3499_NWBalkans_PannonianPlain_Vucedol_EN
6.93799683
CL94
7.28685117
R1221_Medieval_Era_Cancelleria
7.57478052
I3313_Balkans_BronzeAge
7.62312272
CL57
7.70831369
CL36
7.72828571
CL47
7.79092421
GironaSantJuliadeRamis_I10853
7.88022842
R61_Medieval_Era_Villa_Magna
7.89459942
Bavaria_BB_II5524
7.93197958
SZ45
8.04563857
R110_Late_Antiquity_Crypta_Balbi
8.04854024
SZ43
8.12515231
SZ27
8.49518687
R108_Late_Antiquity_Crypta_Balbi
father below
Distance to:
PonzanoK12b
2.96722092
R55_Medieval_Era_Villa_Magna
4.88872171
I4331_Balkans_BronzeAge
5.02758391
R105_Late_Antiquity_Crypta_Balbi
5.03138152
R33_Late_Antiquity_Mausole_di_Augusto
5.17989382
I4332_Balkans_BronzeAge
5.65693380
R474_Iron_Age_Civitavecchia
5.67751706
CL49
5.88861614
R61_Medieval_Era_Villa_Magna
5.95225167
SZ28
6.03410308
R1_Iron_Age_Protovillanovan_Martinsicuro
6.08940063
CL47
6.10329419
CL23
6.37341353
CL94
6.61260161
SZ45
7.01978632
R1221_Medieval_Era_Cancelleria
7.19994444
R108_Late_Antiquity_Crypta_Balbi
7.20488029
Bavaria_BB_II5524
7.21248917
CL57
7.22930840
GironaSantJuliadeRamis_I10853
7.42829052
R109_Late_Antiquity_Crypta_Balbi
7.88196676
I2165_Balkans_BronzeAge
8.10768771
CL102
8.27916059
R110_Late_Antiquity_Crypta_Balbi
8.36763407
GironaSantJuliadeRamis_I10851
8.39875586
SZ27
Female first cousin from paternal grandfather sister line
Distance to:
TrentinoCles
2.53333772
R33_Late_Antiquity_Mausole_di_Augusto
2.88975778
I4332_Balkans_BronzeAge
3.48031608
I4331_Balkans_BronzeAge
3.75795157
R1_Iron_Age_Protovillanovan_Martinsicuro
3.85072720
SZ28
4.27906532
SZ43
5.06032608
I3313_Balkans_BronzeAge
5.88459005
I3499_NWBalkans_PannonianPlain_Vucedol_EN
6.05645936
CL36
6.11802256
R55_Medieval_Era_Villa_Magna
6.50109222
CL23
6.53108720
SZ31
7.26898205
ScythianSouthernMoldova_scy197
7.82710036
ScythianMoldova_SCY300
7.89238874
CL49
7.97467241
SZ36
8.36254148
Bavaria_BB_II5524
8.43631436
I2176_Balkans_BronzeAge
8.58509755
R474_Iron_Age_Civitavecchia
8.78997156
ScythianSouthernMoldova_scy192
9.10143395
R110_Late_Antiquity_Crypta_Balbi
9.24717795
I8475_NE_Iberia_RomP_atypical
9.46118914
R36_Late_Antiquity_Celio
9.51338005
R105_Late_Antiquity_Crypta_Balbi
9.55524987
SZ37
Below is a male whose ancestor is the brother of my great great grandfather b.1822 ( paternal side ) same surname
Distance to:
BelunPk12b
2.85040348
I4331_Balkans_BronzeAge
2.89129729
R55_Medieval_Era_Villa_Magna
2.95218563
R33_Late_Antiquity_Mausole_di_Augusto
3.00813896
I4332_Balkans_BronzeAge
3.06084956
R1_Iron_Age_Protovillanovan_Martinsicuro
4.34786154
SZ28
5.05758836
CL23
5.50328993
CL49
6.21656658
R474_Iron_Age_Civitavecchia
6.24843981
R105_Late_Antiquity_Crypta_Balbi
6.33832786
I3499_NWBalkans_PannonianPlain_Vucedol_EN
6.40148420
SZ43
6.46353618
I3313_Balkans_BronzeAge
6.86280555
CL36
7.35241457
R61_Medieval_Era_Villa_Magna
7.56866567
Bavaria_BB_II5524
7.96169580
I2165_Balkans_BronzeAge
8.15677019
SZ31
8.19120260
CL94
8.35335262
GironaSantJuliadeRamis_I10853
8.41500446
R110_Late_Antiquity_Crypta_Balbi
8.53501025
CL47
9.05707458
SZ36
9.21911059
CL57
9.33575385
SZ45
running all above with max output of 4
Distance to:
BelunPk12b
2.85040348
I4331_Balkans_BronzeAge
2.89129729
R55_Medieval_Era_Villa_Magna
2.95218563
R33_Late_Antiquity_Mausole_di_Augusto
3.00813896
I4332_Balkans_BronzeAge
Distance to:
TrentinoCles
2.53333772
R33_Late_Antiquity_Mausole_di_Augusto
2.88975778
I4332_Balkans_BronzeAge
3.48031608
I4331_Balkans_BronzeAge
3.75795157
R1_Iron_Age_Protovillanovan_Martinsicuro
Distance to:
Torziok12b
1.89726118
R55_Medieval_Era_Villa_Magna
4.40054542
I4331_Balkans_BronzeAge
4.63928874
R105_Late_Antiquity_Crypta_Balbi
4.65249395
R474_Iron_Age_Civitavecchia
Distance to:
PonzanoK12b
2.96722092
R55_Medieval_Era_Villa_Magna
4.88872171
I4331_Balkans_BronzeAge
5.02758391
R105_Late_Antiquity_Crypta_Balbi
5.03138152
R33_Late_Antiquity_Mausole_di_Augusto
only sample that is in the top for all of the above
I4331_Balkans_BronzeAge
I4331, I4332, Early/Middle Bronze Age, 1700-1500 BCE
http://biorxiv.org/content/early/2017/05/09/135616
doi: https://doi.org/10.1101/135616
I4331
mtDNA: I1a1
Y-DNA: J2b2a
11794What does SZ stand for? I match those guys real well.
Those are samples from the paper, "Understanding 6th-century barbarian social organization and migration through paleogenomics", about Lombards. The SZ stands for Szólád, a city in Hungary.
Oh, so they're Lombards. Makes sense, then.
Distance to:
Stuvanè
3.43011662
SZ31
3.44400929
SZ36
3.71212877
CL36
4.21513938
SZ43
4.68264882
I3499_NWBalkans_PannonianPlain_Vucedol_EN
4.83184230
ScythianMoldova_SCY300
4.97630385
R1_Iron_Age_Protovillanovan_Martinsicuro
5.34300477
R36_Late_Antiquity_Celio
5.55229682
ScythianSouthernMoldova_scy192
5.57919349
SZ37
5.58678799
R33_Late_Antiquity_Mausole_di_Augusto
5.87326144
CL23
6.25171976
R55_Medieval_Era_Villa_Magna
6.43351381
I4332_Balkans_BronzeAge
6.77911499
I4331_Balkans_BronzeAge
7.07541518
ScythianSouthernMoldova_scy197
7.29406608
R120_Late_Antiquity_S_Ercolano_Necropolis_Ostia
7.43797688
SZ28
7.65708169
R1283_Medieval_Era_Cancelleria
7.93996222
R111_Imperial_Era_Via_Paisiello_Necropolis
7.97270970
SZ1
8.40716956
I3313_Balkans_BronzeAge
8.74874848
R1287_Medieval_Era_Cancelleria
9.04734768
R1285_Medieval_Era_Cancelleria
9.37029882
I8475_NE_Iberia_RomP_atypical
All SZ samples are not homogenous. If I remember correctly, you have Northern and Southern cluster with some samples in-between. Szolad is a match for me also, and I presume other Slavs. First ten:
Distance to:
me
4.21754668
ANI163_Varna_Outlier
4.77990586
SZ42
4.96589368
SZ12
5.05904141
SZ11
5.45348512
SZ24
6.21923629
SZ30
6.31038034
AlemannicBavariaBIM_33
6.32664208
SZ25
6.37617440
SZ13
7.05800963
CL97
bigsnake49
08-02-20, 17:25
Mine:
11798
Scythian, eh? Solezad cluster are the next matches.
^^There's more than one "type" of Scythian found in Moldova. One is very "Northern", and one is very "Southern European".
Mine:
11796
Scythian, eh? Solezad cluster are the next matches.
Could you post a photo or copy and paste because the link does not open?
This is mine
4.71686336 R60_Medieval_Era_Villa_Magna
4.87681248 CrusaderKnightApuliaAbruzzoLebanonCrusaderSI53
5.09032415 SZ37
5.56705488 R969_Medieval_Era_Tivoli_Palazzo_Cianti
5.81283924 R121_Late_Antiquity_S_Ercolano_Necropolis_Ostia
6.38806700 SZ36
7.03153611 SZ31
7.10957101 R107_Late_Antiquity_Crypta_Balbi
7.16487264 ScythianSouthernMoldova_scy192
7.25426082 R1290_Medieval_Era_Villa_Magna
7.46294178 R54_Medieval_Era_Villa_Magna
7.51240308 ScythianSouthernMoldova_scy305
7.65527269 R835_Imperial_Era_Civitanova_Marche
7.73755775 R970_Medieval_Era_Tivoli_Palazzo_Cianti
7.76067652 R1549_Imperial_Era_Monterotondo
7.81090904 R59_Medieval_Era_Villa_Magna
7.87537301 ScythianMoldova_SCY300
7.92704863 R36_Late_Antiquity_Celio
8.13490627 R973_Medieval_Era_Tivoli_Palazzo_Cianti
8.18330618 R1283_Medieval_Era_Cancelleria
8.37068695 R120_Late_Antiquity_S_Ercolano_Necropolis_Ostia
8.48079006 R836_Imperial_Era_Civitanova_Marche
8.69321575 R58_Medieval_Era_Villa_Magna
8.87463239 ScythianSouthernMoldova_scy197
9.38254230 R49_Imperial_Era_Centocelle_Necropolis
the scythian query
I cannot recall if the question of Scythian being a branch of sarmatians or not being Sarmatians has ever been resolved
IMO, I always kept them separated
Others have kept them as one huge tribe
I just realized that I've been using the coordinates from the original 23andme v3. Since I'm sure almost no one has that, and is using either v4, or v5 or ancestry, which seems pretty close to v5, I'll be using the v5 from now on. The order changes but the players are the same.
Distance to:
Angela
5.88072274
I3313_Balkans_BronzeAge
6.32650773
I8475_NE_Iberia_RomP_atypical
6.32865705
I9123_Bronze_Age_Armenoi_Crete
6.44030279
R1285_Medieval_Era_Cancelleria
6.46676117
SZ43
6.53661992
R1287_Medieval_Era_Cancelleria
7.03668956
I3499_NWBalkans_PannonianPlain_Vucedol_EN
7.04472143
I1979_Bronze_Age_Beaker_Northern_Italy
7.09619616
I2176_Balkans_BronzeAge
7.14881808
R111_Imperial_Era_Via_Paisiello_Necropolis
7.44927513
I2175_Balkans_BronzeAge
7.88178279
CL36
8.15250268
ScythianSouthernMoldova_scy197
8.36475343
SZ28
8.77719773
Bul10_Balkans_BronzeAge
8.92554760
R1016_Iron_Age_Castel_di_Decima
8.94997207
Bul6_Balkans_BronzeAge
9.15645128
I4331_Balkans_BronzeAge
9.17988562
SZ31
9.21016829
CL23
9.30224167
R1283_Medieval_Era_Cancelleria
9.30524583
ScythianSouthernMoldova_scy192
9.47417543
R33_Late_Antiquity_Mausole_di_Augusto
9.47641282
R1015_Iron_Age_Veio_Grotta_Gramiccia
9.54090667
ScythianMoldova_SCY300
I know this is internally consistent because of the following:
Balkans Bronze Age 13313
Distance to:
I3313_Balkans_BronzeAge
3.56275646
Italy_Lombardy
4.78770749
Italy_Emilia
4.93995082
Italy_Liguria
5.14574766
Italy_Veneto
5.39127537
Italy_Piedmont
6.07536254
Italy_Tuscany
6.54086099
Swiss_Italian
7.53474883
Italy_Trentino
8.14842046
France_Corsica
8.45013349
Italy_FriuliVG
8.57974941
Italy_Romagna
9.78872702
Italy_Aosta_Valley
11.74627933
Italy_Marche
12.03777155
Italy_Lazio
12.29336406
Albanian_North
12.42080915
Albanian_Kosovo
14.46197428
Baleares
15.62894430
Macedonian
16.46757724
Galicia
17.02095179
Gagauz
17.19215810
Extremadura
17.51714611
Italy_Abruzzo
18.13725448
Portuguese
18.47098536
Pomak
18.50866554
Murcia
Distance to:
I8475_NE_Iberia_RomP_atypical
5.28431225
France_Corsica
5.49877060
Italy_Liguria
6.36053229
Italy_Emilia
6.74417601
Italy_Tuscany
7.01113953
Italy_Lombardy
7.79892301
Italy_Piedmont
8.50914214
Italy_Romagna
9.16329828
Italy_Veneto
10.10349259
Swiss_Italian
10.76158901
Italy_Marche
11.32464057
Italy_Lazio
11.48999565
Italy_Trentino
11.59190735
Italy_FriuliVG
12.58351257
Italy_Aosta_Valley
13.34843437
Baleares
14.57551714
Galicia
15.03443048
Extremadura
15.06820162
Albanian_Kosovo
15.30791299
Albanian_North
15.34010104
Canarias
15.34070403
Portuguese
15.59502164
Murcia
16.28642311
Italy_Abruzzo
16.74281040
Andalucia
17.28226548
Castilla_Y_Leon
Distance to:
I9123_Bronze_Age_Armenoi_Crete
3.13346390
France_Corsica
7.13643258
Italy_Tuscany
7.88741853
Italy_Emilia
7.93103398
Italy_Romagna
8.18782084
Italy_Liguria
8.83622646
Italy_Marche
10.09776678
Italy_Lazio
10.31520419
Italy_Lombardy
11.47091135
Italy_Piedmont
12.67673923
Italy_Veneto
13.57074278
Italy_Abruzzo
14.29889900
Swiss_Italian
15.07772085
Italy_Campania
15.12041785
Italy_FriuliVG
15.56398150
Italy_Trentino
15.90457623
Italy_Sicily
16.16580032
Albanian_Kosovo
16.47288038
Italy_Apulia
16.63682963
Baleares
16.96335462
Albanian_North
17.16246581
Italy_Aosta_Valley
17.91113269
Italy_Calabria
18.28365664
Greek
18.43507798
Murcia
18.50067837
Galicia
Again, the Dodecad K12b updated has one Corsican sample, via "Sizzi", and I highly doubt it's representative.
In regular K12b...
Distance to:
I9123_Bronze_Age_Armenoi_Crete
6.26660195
TSI30
7.70621178
Tuscan
8.94646299
North_Italian
9.25349664
C_Italian
9.38393841
N_Italian
9.96218350
O_Italian
16.23912559
Sicilian
16.26235223
S_Italian_Sicilian
16.63682963
Baleares
18.28365664
Greek
18.43507798
Murcia
18.50067837
Galicia
18.75878194
Extremadura
18.88255015
Andalucia
19.18635192
Canarias
19.48964340
Portuguese
20.70434978
Ashkenazi
20.85449832
Castilla_Y_Leon
21.34596215
Spaniards
21.36841595
Ashkenazy_Jews
22.01702750
Morocco_Jews
22.40865681
Spanish
22.59549291
Sephardic_Jews
22.77898374
Castilla_La_Mancha
22.79030715
Cataluna
Distance to:
R1285_Medieval_Era_Cancelleria
4.95855987
France_Corsica
5.72900515
Italy_Romagna
5.73295543
Italy_Marche
6.52601027
Italy_Tuscany
7.24070466
Italy_Lazio
7.99930566
Italy_Emilia
8.57943659
Italy_Liguria
10.37018436
Italy_Abruzzo
10.86251230
Italy_Lombardy
11.76210041
Italy_Campania
12.19792774
Italy_Piedmont
12.42161332
Italy_Veneto
12.83907707
Albanian_Kosovo
12.91294962
Italy_Apulia
13.07584127
Italy_Sicily
13.09491886
Greek
13.69630607
Albanian_North
14.63272210
Italy_FriuliVG
14.85030850
Swiss_Italian
14.95477500
Italy_Calabria
15.92765394
Italy_Trentino
16.62573006
Ashkenazi
17.11678124
Ashkenazy_Jews
18.54059870
Gagauz
18.65887850
Italy_Aosta_Valley
the scythian query
I cannot recall if the question of Scythian being a branch of sarmatians or not being Sarmatians has ever been resolved
IMO, I always kept them separated
Others have kept them as one huge tribe
Scythians and Sarmatians were very close in genetic and cultural terms but they were two distinct tribes. The Moldova Scythian samples 300,305,192 and 197 are not real Scythians. They are close to Southern Eurpeans and they are considered Northern Thracians/Getae.
^^The same sort of thing happens with Szolad samples: there's a "northern" cluster and a "southern" cluster. In Szolad the southerners were subjugated by the Langobards. I don't think that was the case with the Scythians, i.e. a "class" system, but I'd have to recheck the burial contexts.
For people just starting to play around with these:
https://i.imgur.com/bmLDxi2.png
I'm always closest to SZ43 and CL23.
Jovialis e.a. thanks for developing!!!!
Some doubts about the results because in our case the Bronze Age samples are prevalent above the iron age/early middle ages. That's IMO not a good sign. Usually is more recent drift more close...
Distance to: Northerner
1.37419067 BronzeAgeUnetice_I0047
1.97861062 CL146
2.27982455 CL145
2.62806012 SZ4
2.66608327 CL93
3.44633138 SZ7
3.60291549 SZ22
4.01720052 CL151
4.07760959 SZ9
4.09470390 SZ13
Distance to: NorthernerDad
2.94535227 BronzeAgeOuterHebrides_I2655
3.21373614 BronzeAgeUnetice_I0047
3.23739092 SZ7
3.52315200 CL84
3.64394018 CL93
3.73158143 CL145
3.87244109 SZ15
3.96203231 CL83
4.31705918 CL146
4.34257988 R1286_Medieval_Era_Cancelleria
Distance to: NorthenerMom
2.19786260 BronzeAgeOuterHebrides_I2655
2.82237489 CL93
3.27783465 CL145
3.45272356 CL92
3.47195910 CL84
3.47701021 CL83
3.92670345 BronzeAgeUnetice_I0047
3.95586906 CL146
4.23303674 SZ7
4.27896015 IronAgeHinxton5_Anglo-Saxon_ERS389799
https://www.mupload.nl/img/huamw83pm3.30.29.png
https://www.mupload.nl/img/bacti5yjm3eha.30.42.png
https://www.mupload.nl/img/mf2y0ykm6xoc.30.54.png
Jovialis e.a. thanks for developing!!!!
Some doubts about the results because in our case the Bronze Age samples are prevalent above the iron age/early middle ages. That's IMO not a good sign. Usually is more recent drift more close...
Distance to: Northerner
1.37419067 BronzeAgeUnetice_I0047
1.97861062 CL146
2.27982455 CL145
2.62806012 SZ4
2.66608327 CL93
3.44633138 SZ7
3.60291549 SZ22
4.01720052 CL151
4.07760959 SZ9
4.09470390 SZ13
Distance to: NorthernerDad
2.94535227 BronzeAgeOuterHebrides_I2655
3.21373614 BronzeAgeUnetice_I0047
3.23739092 SZ7
3.52315200 CL84
3.64394018 CL93
3.73158143 CL145
3.87244109 SZ15
3.96203231 CL83
4.31705918 CL146
4.34257988 R1286_Medieval_Era_Cancelleria
Distance to: NorthenerMom
2.19786260 BronzeAgeOuterHebrides_I2655
2.82237489 CL93
3.27783465 CL145
3.45272356 CL92
3.47195910 CL84
3.47701021 CL83
3.92670345 BronzeAgeUnetice_I0047
3.95586906 CL146
4.23303674 SZ7
4.27896015 IronAgeHinxton5_Anglo-Saxon_ERS389799
https://www.mupload.nl/img/huamw83pm3.30.29.png
https://www.mupload.nl/img/bacti5yjm3eha.30.42.png
https://www.mupload.nl/img/mf2y0ykm6xoc.30.54.png
Dear Northerner.
The vast majority of the coordinates included so far refer to samples obtained in Italy, Iberia, Central Europe and Balkans. The current entry coordinates do not favor people from northern and northwestern Europe. Many coordinates of samples from that area would be needed in the source dada entry and these coordinates have not yet been obtained. Fir that reason his results looks strange, with North Europe Bronze Age in the first place.
Cheers :)
The same nonsense as always.
5.91572481
CrusaderKnightFrenchLebanonCrusaderSI40
6.02217569
IlergetesTribeCatalan_I3320
6.41493570
R1289_Medieval_Era_Cancelleria
7.22570412
BronzeAgeSpainCogotas_I12208
7.22570412
BronzeAgeSpainCogotas_I12208
7.24944825
GironaSantJuliadeRamis_I10892
7.27760263
ElSotilloBasqueCountry_I1977
7.38375921
R63_Medieval_Era_Villa_Magna
7.99233383
GironaSantJuliadeRamis_I10852
8.55661732
IlercavonesCatalan_I3321
8.79180300
LBA_ElSotillo_Alava_I2469
8.84762115
GironaSantJuliadeRamis_I10895
8.91707351
I2215_Malak_Preslavets
9.16251603
R435_Iron_Age_Palestrina_Colombella
9.30830812
I2478_Bronze_Age_Beaker_Northern_Italy
9.65871109
MedievalTaifaofValencia_I12649
9.88438668
EarlyMedievalIberiaGranada_I3981
9.93942151
EarlyMedievalAndalusia_I3585
10.17689540
VasconicTribe_I8209
10.17689540
I8209_NE_Iberia_Greek_Empuries1
10.23212099
VisigothIberianGirona_I12034
10.39308905
PortugueseCordobaCaliphate_I12516
10.41494119
Pre-RomanGirona_I3324
10.42269159
VasconesTribeVasconia_I3759
10.58412963
IronAgeCatalan_I12640
14.0
I1296_Malak_Preslavets
11.4
IlergetesTribeCatalan_I12878
11.2
IberianElArgarBronzeAge_I8136
10.8
CarthagoMaghrebiAndalusia_I7457
9.0
I8211_NE_Iberia_Greek_Empuries1
7.6
IlercavonesCatalan_I3321
5.4
Bul8_Balkans_BronzeAge
5.0
GalloRomanCeltMixIberia_I10866
2.6
Falkenstein_Mesolithic_Germany
2.6
I1949_GD37_Ganj_Dareh_Iran_Neolithic
2.2
R475_Iron_Age_Civitavecchia
2.2
R6_Neolithic_Grotta_Continenza
1.8
CeltiberianMixTribeNorthernSpain_I3238
1.6
I1685_Natufian_Nat4_Raqefet_Cave_Israel
1.4
TartessianArchaicAndalusia_I12561
1.4
I8209_NE_Iberia_Greek_Empuries1
1.4
Brillenhohle_Magdalenian_Germany
1.2
NorthAlpineSouthDutch_AITI_50
1.2
IronAgeHinxton1_Celt_ERS389795
0.8
I8202_NE_Iberia_RomP_Empuries1
0.6
CL146
0.6
IberiaBronzeAge_ATP9
0.6
R80_Imperial_Era_Viale_Rossini_Necropolis
0.6
I1290_GD13A_Ganj_Dareh_Iran_Neolithic
0.6
I1416_AG83/1_Early_MPPNB_Ain_Ghazal_Jordan
0.4
VasconicTribe_I8209
0.4
CrusaderKnightTuscanLebanonCrusaderSI41
0.4
R132_Imperial_Era__Marcellino_&_Pietro
0.4
I3151_Trypillia
0.2
ASH2-3_Iron_Age1
0.2
Continenza_Mesolithic_Italy
0.2
I2433_Globular_Amphora
Scythians and Sarmatians were very close in genetic and cultural terms but they were two distinct tribes. The Moldova Scythian samples 300,305,192 and 197 are not real Scythians. They are close to Southern Eurpeans and they are considered Northern Thracians/Getae.
thanks
i get these from MTA , for what it is worth
7. Scythian Southern Moldova (290 BC) ..... 10.0 - scy197b -
Top 98 % match vs all users
17. Scythian Southern Moldova (270 BC) ..... 12.35 - scy192 -
Top 97 % match vs all users
24. Scythian Southern Moldova (290 BC) ..... 13.52 - scy300 -
Top 98 % match vs all users
31. Scythian Southern Moldova (290 BC) ..... 14.25 - scy305 -
Top 96 % match vs all users
41. Scythian Moldova (290 BC) ..... 15.24 - scy311 -
Top 61 % match vs all users
65. [Hidden] - upgrade to Zeus ..... 16.7 - DA195 -
Top 92 % match vs all users
84. [Hidden] - upgrade to Zeus ..... 18.58 - DA198 -
Top 94 % match vs all users
94. [Hidden] - upgrade to Zeus ..... 19.26 - scy304 -
Top 95 % match vs all users
and also the bottom of the below
1. Protovillanovia Martinsicuro (930 BC) ..... 5.076 - R1 -
Top 99 % match vs all users
4. Illyrian / Dalmatian (1200 BC) ..... 8.937 - I3313 -
Top 98 % match vs all users
52. Thraco-Cimmerian Black Sea (900 BC) ..... 15.89 - MJ12 -
Top 97 % match vs all users
my father only get sycthian in the deep dive breakdown.......one line , nothing else
The same nonsense as always.
5.91572481
CrusaderKnightFrenchLebanonCrusaderSI40
6.02217569
IlergetesTribeCatalan_I3320
6.41493570
R1289_Medieval_Era_Cancelleria
7.22570412
BronzeAgeSpainCogotas_I12208
7.22570412
BronzeAgeSpainCogotas_I12208
7.24944825
GironaSantJuliadeRamis_I10892
7.27760263
ElSotilloBasqueCountry_I1977
7.38375921
R63_Medieval_Era_Villa_Magna
7.99233383
GironaSantJuliadeRamis_I10852
8.55661732
IlercavonesCatalan_I3321
8.79180300
LBA_ElSotillo_Alava_I2469
8.84762115
GironaSantJuliadeRamis_I10895
8.91707351
I2215_Malak_Preslavets
9.16251603
R435_Iron_Age_Palestrina_Colombella
9.30830812
I2478_Bronze_Age_Beaker_Northern_Italy
9.65871109
MedievalTaifaofValencia_I12649
9.88438668
EarlyMedievalIberiaGranada_I3981
9.93942151
EarlyMedievalAndalusia_I3585
10.17689540
VasconicTribe_I8209
10.17689540
I8209_NE_Iberia_Greek_Empuries1
10.23212099
VisigothIberianGirona_I12034
10.39308905
PortugueseCordobaCaliphate_I12516
10.41494119
Pre-RomanGirona_I3324
10.42269159
VasconesTribeVasconia_I3759
10.58412963
IronAgeCatalan_I12640
14.0
I1296_Malak_Preslavets
11.4
IlergetesTribeCatalan_I12878
11.2
IberianElArgarBronzeAge_I8136
10.8
CarthagoMaghrebiAndalusia_I7457
9.0
I8211_NE_Iberia_Greek_Empuries1
7.6
IlercavonesCatalan_I3321
5.4
Bul8_Balkans_BronzeAge
5.0
GalloRomanCeltMixIberia_I10866
2.6
Falkenstein_Mesolithic_Germany
2.6
I1949_GD37_Ganj_Dareh_Iran_Neolithic
2.2
R475_Iron_Age_Civitavecchia
2.2
R6_Neolithic_Grotta_Continenza
1.8
CeltiberianMixTribeNorthernSpain_I3238
1.6
I1685_Natufian_Nat4_Raqefet_Cave_Israel
1.4
TartessianArchaicAndalusia_I12561
1.4
I8209_NE_Iberia_Greek_Empuries1
1.4
Brillenhohle_Magdalenian_Germany
1.2
NorthAlpineSouthDutch_AITI_50
1.2
IronAgeHinxton1_Celt_ERS389795
0.8
I8202_NE_Iberia_RomP_Empuries1
0.6
CL146
0.6
IberiaBronzeAge_ATP9
0.6
R80_Imperial_Era_Viale_Rossini_Necropolis
0.6
I1290_GD13A_Ganj_Dareh_Iran_Neolithic
0.6
I1416_AG83/1_Early_MPPNB_Ain_Ghazal_Jordan
0.4
VasconicTribe_I8209
0.4
CrusaderKnightTuscanLebanonCrusaderSI41
0.4
R132_Imperial_Era__Marcellino_&_Pietro
0.4
I3151_Trypillia
0.2
ASH2-3_Iron_Age1
0.2
Continenza_Mesolithic_Italy
0.2
I2433_Globular_Amphora
Sorry, I don't quite understand. What's nonsense about a Spaniard getting matches with a lot of Bronze and Iron Age Spanish samples?
If you're talking about the second graph, which is like an admixture chart, I don't pay any attention to that, because like a lot of such analyses it mixes people from sometimes wildly different eras. If you're going to do it, at least do it at .25x and .50x.
As for your best "Roman" sample from Antonio et al, looks to me like a Spaniard who went to Rome in the early Medieval period. The authors of that paper totally ignored the fact that not all the samples from a major international city, like, say, today's New York, are going to be locals, and the same is true for a Medieval pilgrimage site.
Distance to:
R1289_Medieval_Era_Cancelleria
5.07975393
Galicia
5.33575674
Baleares
6.34399716
Cataluna
6.67958831
Extremadura
7.09184743
Spaniards
7.72128875
Castilla_Y_Leon
7.99059447
Portuguese
8.22842026
Spanish
8.89248559
Murcia
8.96985507
Cantabria
9.44101181
Italy_Aosta_Valley
9.59939061
Castilla_La_Mancha
9.82168519
Valencia
10.44232254
Andalucia
10.73161218
Aragon
11.82577957
Swiss_Italian
12.41785408
French
12.68400883
Italy_Trentino
12.96788340
French
13.24715205
Italy_Lombardy
13.53898423
Italy_Piedmont
13.88042867
Canarias
15.10681559
Italy_Veneto
15.34781066
Italy_Liguria
16.08108488
Italy_Emilia
running all above with max output of 4
Distance to:
BelunPk12b
2.85040348
I4331_Balkans_BronzeAge
2.89129729
R55_Medieval_Era_Villa_Magna
2.95218563
R33_Late_Antiquity_Mausole_di_Augusto
3.00813896
I4332_Balkans_BronzeAge
Distance to:
TrentinoCles
2.53333772
R33_Late_Antiquity_Mausole_di_Augusto
2.88975778
I4332_Balkans_BronzeAge
3.48031608
I4331_Balkans_BronzeAge
3.75795157
R1_Iron_Age_Protovillanovan_Martinsicuro
Distance to:
Torziok12b
1.89726118
R55_Medieval_Era_Villa_Magna
4.40054542
I4331_Balkans_BronzeAge
4.63928874
R105_Late_Antiquity_Crypta_Balbi
4.65249395
R474_Iron_Age_Civitavecchia
Distance to:
PonzanoK12b
2.96722092
R55_Medieval_Era_Villa_Magna
4.88872171
I4331_Balkans_BronzeAge
5.02758391
R105_Late_Antiquity_Crypta_Balbi
5.03138152
R33_Late_Antiquity_Mausole_di_Augusto
only sample that is in the top for all of the above
I4331_Balkans_BronzeAge
I4331, I4332, Early/Middle Bronze Age, 1700-1500 BCE
http://biorxiv.org/content/early/2017/05/09/135616
doi: https://doi.org/10.1101/135616
I4331
mtDNA: I1a1
Y-DNA: J2b2a
data from these companies
BelunPk12b .............myHeritage
TrentinoCles .............Ancestry
Torziok12b...............ftdna bigy .................i have 23andme v3 but never use it
PonzanoK12b ...........23andme v4
all different companies ............results are similar for the bulk
Sorry, I don't quite understand. What's nonsense about a Spaniard getting matches with a lot of Bronze and Iron Age Spanish samples?
Well, no old sample really stands out for me since only one is less than 6.0, if they are Spanish samples of the bronze or iron age it is even more strange. That they are old is no excuse since one has obtained a distance of 1.8 with an old sample in this same thread.
To compare from Global25 (mine):
[1] "1. CLOSEST SINGLE ITEM DISTANCE%"
Iberia_Northeast_c.8-12CE:I10895 ITA_Etruscan:RMPR473
0.1725485 0.1767569
Iberia_Northeast_c.8-12CE:I10892 Iberia_Northeast_c.8-12CE:I10853
0.1885524 0.2103521
ITA_Collegno_MA:CL23 Bell_Beaker_Bavaria:I3594
0.2113906 0.2229933
ITA_Prenestini_tribe_IA:RMPR435b Iberia_Southeast_c.3-4CE:I3982
0.2244037 0.2286416
ITA_Rome_Late_Antiquity:RMPR33 ITA_Boville_Ernica_Latini_IA:RMPR1021
0.2337627 0.2363535
Iberia_Southeast_c.10-16CE:I12514 ITA_Collegno_MA:CL36
0.2425407 0.2449306
Iberia_Southeast_c.10-16CE:I12515 ITA_Rome_MA:RMPR1287
0.2464224 0.2472590
ITA_Ardea_Latini_IA:RMPR851 ITA_Collegno_MA:CL94
0.2502159 0.2516029
ITA_Proto-Villanovan:RMPR1 ITA_Rome_Renaissance:RMPR1221
0.2522915 0.2571848
HRV_IA:I3313 Levant_LBN_MA_Mixed:SI-41
0.2620630 0.2622670
ITA_Rome_Late_Antiquity:RMPR105 HUN_BA:I7040
0.2651754 0.2656181
ITA_Rome_MA:RMPR61 Iberia_Southeast_c.5-8CE:I3585
0.2686559 0.2688010
TZA_Zanzibar_Euro_outlier:I0588 Bell_Beaker_Bavaria:I5524
0.2720257 0.2721195
Bell_Beaker_ITA:I2478 Iberia_Southeast_c.10-16CE:I7498
0.2730165 0.2733715
Iberia_Southeast_c.5-8CE:I3582 Iberia_Southeast_c.10-16CE:I7425
0.2745505 0.2764634
ITA_Rome_Imperial:RMPR116 Bell_Beaker_Bavaria:I5520
0.2796230 0.2823384
Bell_Beaker_Bavaria:E09538 Iberia_North_IA:I3758
0.2824199 0.2837728
DEU_Roman:FN_2 ITA_Rome_MA:RMPR1285
0.2847420 0.2862429
Iberia_North_BA:I2471 Iberia_Northeast_c.6-8CE_ES:I7673
0.2865519 0.2908969
ITA_Collegno_MA:CL57 Iberia_East_IA:I12879
0.2925645 0.2928361
HUN_MA_Szolad:SZ28 Iberia_Southeast_BA:I8570
0.2937090 0.2945658
DEU_Lech_EBA:POST_44 ITA_Rome_Imperial:RMPR113
0.2960743 0.2973096
ITA_Rome_Renaissance:RMPR1224 ITA_Collegno_MA:CL121
0.2994411 0.2998483
HRV_EBA:I3499 Bell_Beaker_FRA_C:I3874
0.3009950 0.3015427
DEU_Lech_BBC:UNTA58_68Sk1 CZE_Hallstatt_Bylany:DA111
0.3022913 0.3026153
HUN_MA_Szolad:SZ43 DEU_Lech_MBA:OTTM_151ind2_d
0.3045094 0.3070668
Iberia_Northeast_c.6-8CE_ES:I3777 ITA_Rome_Late_Antiquity:RMPR109
0.3086649 0.3088576
Bell_Beaker_CZE:I4885 ITA_Rome_Late_Antiquity:RMPR121
0.3103901 0.3115959
ITA_Rome_Late_Antiquity:RMPR110 ITA_Rome_Renaissance:RMPR1220
0.3133496 0.3145997
Bell_Beaker_HUN_EBA:I2364 ITA_Rome_Late_Antiquity:RMPR122
0.3151666 0.3153094
ITA_Etruscan:RMPR474b Iberia_East_IA:I3320
0.3159193 0.3169921
ITA_Rome_Late_Antiquity:RMPR36 ITA_Rome_MA:RMPR1283
0.3175201 0.3175374
HRV_MBA:I4331 HUN_MA_Szolad:SZ45
0.3177672 0.3180975
Scythian_MDA:scy197 Iberia_Southeast_c.10-16CE:I7424
0.3192053 0.3199015
Scythian_HUN:DA198 Iberia_North_IA:I3759
0.3209003 0.3219891
Iberia_Northeast_Empuries1:I8209 ITA_Etruscan_o:RMPR475b
0.3220233 0.3223616
DEU_Welzin_BA_outlier3:WEZ57 Iberia_Northeast_Empuries1:I8203
0.3226810 0.3238873
HUN_BA_o:SZ1 Iberia_East_IA:I3322
0.3240741 0.3255104
ITA_Rome_Late_Antiquity:RMPR120 Iberia_Southeast_c.10-16CE:I7457
0.3273973 0.3287644
ITA_Rome_MA:RMPR52 ITA_Rome_MA:RMPR60
0.3293342 0.3296483
ITA_Rome_MA:RMPR63 ITA_Rome_Late_Antiquity:RMPR108
0.3296847 0.3304694
Bell_Beaker_Iberia:I6623 ITA_Collegno_MA:CL63
0.3309592 0.3339177
ITA_Rome_MA:RMPR1289 Iberia_Southeast_c.5-8CE:I3581
0.3378787 0.3381878
ITA_Rome_MA:RMPR57 Iberia_Northeast_c.6CE_PL:I12034
0.3407550 0.3435855
Levant_LBN_MA_Euro:SI-40 Bell_Beaker_Bavaria:I6624
0.3438968 0.3439200
HUN_MA_Szolad:SZ36 HUN_BA:I7043
0.3440262 0.3444198
HUN_MA_Szolad:SZ37 HUN_MA_Szolad:SZ32
0.3446201 0.3446288
Iberia_Southwest_BA_Afr:I7162 Iberia_Southeast_c.5-8CE:I3576
0.3462470 0.3481279
ITA_Rome_Late_Antiquity:RMPR107 Iberia_North_BA:I2470
0.3484709 0.3484796
Iberia_Northeast_c.6CE_PL:I12031 Iberia_Northeast_RomP:I8339
0.3495697 0.3498900
Dear Dou.
I am not an expert in distance calculations, but the fact is that different calculators provide different distances. MTA considers that distances up to 10 are from individuals who are their ancestors, from 11 to 20 of individuals who are part of your ancestry, and from 21 to 30 of individuals who are possibly related to your ancestry. Maciamo Hey considers distances of 7 as a strong indication of ancestry. I have noticed that the south Italians and Italians of the northeast are the ones that present the shortest distances in relation to ancestral populations. Perhaps this is an indication that in these regions the genetic changes have been smaller in relation to the modern population. The Middle Ages were quite tumultuous in the Iberian Peninsula from the arrival of the Moors in the 8th century until the completion of the reconquest at the end of the 15th century. Population movements were immense during this period. The expulsion of the Moors was not a successful operation in much of Spain (see the following excerpt from the English wikipedia). Portugal, with the advent of colonization, suffered a large population deficit in Minho, Douro and Alentejo. Migrants from other regions of Europe helped to overcome the lack of local labor and, in the Sado region, Alentejo, African slaves were recruited.
Cheers :)
Expulsion of the Moriscos:
https://en.m.wikipedia.org/wiki/Expulsion_of_the_Moriscos
“Numbers and success of the expulsion
It is very difficult to gauge the success of the expulsion in purging Spain of its Morisco population, a topic which has been recently subject to a rather intense academic reassessment. Even estimates on the number of Moriscos present in Spain prior to expulsion vary, ranging from numbers based on records of expulsion orders such as those of Lynch and Lapeyre (around 300,000)[20] (https://en.m.wikipedia.org/wiki/Expulsion_of_the_Moriscos#cite_note-lyn47-20) to more recent estimates of up to one million.[16] (https://en.m.wikipedia.org/wiki/Expulsion_of_the_Moriscos#cite_note-Stallaert,_C._1998-16)
Equally, traditional Spanish historiography and early studies which drew heavily from it paint a picture of a very well run affair which succeeded in channeling the vast majority of Moriscos (around 270,000) out of the country in a short period of time. As a result, early estimates of Moriscos who succeeded in remaining in the country after the expulsion were judged to be as low as 15,000.[20] (https://en.m.wikipedia.org/wiki/Expulsion_of_the_Moriscos#cite_note-lyn47-20)
However, a number of recent investigative studies have been challenging the traditional discourse on the supposed success of the expulsion in purging Spain of its Morisco population. Indeed, a number of modern studies have concluded that expulsion met widely differing levels of success, particularly between the two major Spanish crowns of Castile and Aragon.
One of the earliest anglophone re-examinations of Morisco expulsion was carried out by Trevor J. Dadson in 2007. Dadson estimates that as much as 40% of Moriscos (around 200,000) never left the country and up to an additional 70,000 of those expelled, managed to return. A significant section of his work is devoted to the example of Villarubia de los Ojos in southern Castille. The Morisco population of this town, that perhaps they were not authentic Moriscos but had been classified as Moriscos to appropriate their property, was the target of three expulsions which they managed to avoid or from which they succeeded in returning from to their town of origin, being protected and hidden by their non-Morisco neighbours. Dadson provides numerous examples, of similar incidents throughout Spain whereby Moriscos were protected and supported by non-Moriscos and returned en masse from North Africa, Portugal or France to their towns of origin.[4] (https://en.m.wikipedia.org/wiki/Expulsion_of_the_Moriscos#cite_note-bibliotecaspublicas.es-4)
A similar study on the expulsion in Andalusia concluded it was an inefficient operation which was significantly reduced in its severity by resistance to the measure among local authorities and populations. It further highlights the constant flow of returnees from North Africa, creating a dilemma for the local inquisition who did not know how to deal with those who had been given no choice but to convert to Islam during their stay in Muslim lands as a result of the Royal Decree. Upon the coronation of Felipe IV, the new king gave the order to desist from attempting to impose measures on returnees and in September 1628 the Council of the Supreme Inquisition ordered inquisitors in Seville not to prosecute expelled Moriscos "unless they cause significant commotion."[21] (https://en.m.wikipedia.org/wiki/Expulsion_of_the_Moriscos#cite_note-21)
An investigation published in 2012 sheds light on the thousands of Moriscos who remained in the province of Granada alone, surviving both the initial expulsion to other parts of Spain in 1571 and the final expulsion of 1604. These Moriscos managed to evade in various ways the royal decrees, hiding their true origin thereafter. More surprisingly, by the 17th and 18th centuries much of this group accumulated great wealth by controlling the silk trade and also holding about a hundred public offices. Most of these lineages were nevertheless completely assimilated over generations despite their endogamic practices. A compact core of active crypto-Muslims was prosecuted by the Inquisition in 1727, receiving comparatively light sentences. These convicts kept alive their identity until the late 18th century.[22] (https://en.m.wikipedia.org/wiki/Expulsion_of_the_Moriscos#cite_note-22)
Besides, officially a large quantity of Moriscos of the Catalan Low Ebro (https://en.m.wikipedia.org/wiki/Ebro) where excluded from expulsion and remained in their villages and towns, as well as some other expelled who returned, given the fact that they were very well integrated into Catalan Christian society, on the contrary to those in Aragon, Valencia and even to the Moriscos of the Catalan Low Segre (https://en.m.wikipedia.org/wiki/Segre_(river)).[23] (https://en.m.wikipedia.org/wiki/Expulsion_of_the_Moriscos#cite_note-Lapeyre-23)”
“Expulsion of Moriscos and population genetics
Spain's Morisco population was the last population who self-identified and traced its roots to the various waves of Muslim conquerors from North Africa. Modern population genetics generally assume Moriscos to have had both significant Iberian and North African ancestry, even if, after centuries of presence and intermarriage in the Iberian peninsula they were unlikely to differ significantly in ethnic terms from the wider Spanish population. For this reason, studies in population genetics which aim to ascertain Morisco ancestry in modern populations search for Iberian or European genetic markers among contemporary Morisco descendants in North Africa,[24] (https://en.m.wikipedia.org/wiki/Expulsion_of_the_Moriscos#cite_note-ReferenceA-24) and for North African genetic markers among modern day Spaniards.[7] (https://en.m.wikipedia.org/wiki/Expulsion_of_the_Moriscos#cite_note-Susan_M_2008-7) A wide number of recent genetic studies of modern-day Spanish and Portuguese populations have ascertained an unusually high level of North African admixture as compared to the rest of the European continent, approximately 5% of Spaniards have E-M81 Y-haplogroup, which is the characteristic haplogroup of the white population of North Africa or Berber which is generally attributed to Islamic rule and settlement of the Iberian peninsula.[25] (https://en.m.wikipedia.org/wiki/Expulsion_of_the_Moriscos#cite_note-PNAS2013-25) Common North African genetic markers which are relatively high frequencies in the Iberian peninsula as compared to the rest of the European continent are Y-chromosome E1b1b1b1(E-M81)[26] (https://en.m.wikipedia.org/wiki/Expulsion_of_the_Moriscos#cite_note-adams2008-26)[27] (https://en.m.wikipedia.org/wiki/Expulsion_of_the_Moriscos#cite_note-capelli2009-27) and MtDna Haplogroups L and U6.[citation needed (https://en.m.wikipedia.org/wiki/Wikipedia:Citation_needed)]Studies coincide that North African admixture tends to increase in the South and West of the peninsula, peaking in parts of Andalusia,[28] (https://en.m.wikipedia.org/wiki/Expulsion_of_the_Moriscos#cite_note-28)Extremadura and North West Castile.[citation needed (https://en.m.wikipedia.org/wiki/Wikipedia:Citation_needed)] Distribution of North African markers are largely absent from the northeast of Spain as well as the Basque country.[7] (https://en.m.wikipedia.org/wiki/Expulsion_of_the_Moriscos#cite_note-Susan_M_2008-7) The uneven distribution of admixture in Spain has been explained by the extent and intensity of Islamic colonization in a given area, but also by the varying levels of success in attempting to expel the Moriscos in different regions of Spain,[7] (https://en.m.wikipedia.org/wiki/Expulsion_of_the_Moriscos#cite_note-Susan_M_2008-7) as well as forced and voluntary morisco population movements during the 16th and 17th centuries.[29] (https://en.m.wikipedia.org/wiki/Expulsion_of_the_Moriscos#cite_note-AJPA2010-29)
As for tracing Morisco descendants in North Africa, to date there have been few genetic studies of populations of Morisco origin in the Maghreb region, although studies of the Moroccan population have not detected significant recent genetic inflow from the Iberian peninsula.[citation needed (https://en.m.wikipedia.org/wiki/Wikipedia:Citation_needed)] A recent study of various Tunisian ethnic groups has found that all were indigenous North African, including those who self-identified as Andalusians.[24] (https://en.m.wikipedia.org/wiki/Expulsion_of_the_Moriscos#cite_note-ReferenceA-24)”
Me
Distance to:
Cris
3.08588723
R36_Late_Antiquity_Celio
3.64443411
CL36
3.84096342
I3499_NWBalkans_PannonianPlain_Vucedol_EN
4.13772885
SZ36
4.57340136
SZ43
4.59629198
SZ31
4.81472741
ScythianSouthernMoldova_scy192
5.43058929
ScythianMoldova_SCY300
5.45519935
CL23
5.51555981
R120_Late_Antiquity_S_Ercolano_Necropolis_Ostia
5.75796839
R111_Imperial_Era_Via_Paisiello_Necropolis
6.24899992
R1287_Medieval_Era_Cancelleria
6.34505319
R1283_Medieval_Era_Cancelleria
6.55944357
I8475_NE_Iberia_RomP_atypical
7.31306365
R1285_Medieval_Era_Cancelleria
7.34382734
R1_Iron_Age_Protovillanovan_Martinsicuro
7.53980769
I9123_Bronze_Age_Armenoi_Crete
7.62713577
SZ37
7.69145630
ScythianSouthernMoldova_scy197
7.81295079
R55_Medieval_Era_Villa_Magna
7.98225532
R33_Late_Antiquity_Mausole_di_Augusto
8.00696572
R118_Late_Antiquity_S_Ercolano_Necropolis_Ostia
8.43250259
I3313_Balkans_BronzeAge
8.49685236
R121_Late_Antiquity_S_Ercolano_Necropolis_Ostia
8.54085476
I4331_Balkans_BronzeAge
8.62042342
SZ28
8.63141356
I4332_Balkans_BronzeAge
8.65963625
R1549_Imperial_Era_Monterotondo
8.82138311
R835_Imperial_Era_Civitanova_Marche
8.94691008
R970_Medieval_Era_Tivoli_Palazzo_Cianti
8.94862559
R969_Medieval_Era_Tivoli_Palazzo_Cianti
9.23064461
Bul6_Balkans_BronzeAge
9.25322646
I2176_Balkans_BronzeAge
9.46960928
HispanoRomanTaifaofValencia_I12647
9.49497235
R474_Iron_Age_Civitavecchia
9.60703909
CL121
9.73763318
SpaniardCordobaCaliphate_I12515
9.87030901
R60_Medieval_Era_Villa_Magna
9.97369540
CrusaderKnightTuscanLebanonCrusaderSI41
10.00551348
SZ1
10.37804413
R113_Imperial_Era_Via_Paisiello_Necropolis
10.39156389
R105_Late_Antiquity_Crypta_Balbi
10.60230635
IberianCordobaCaliphate_I7498
10.66012195
R52_Medieval_Era_Villa_Magna
10.86311650
GironaSantJuliadeRamis_I10853
11.28600461
R1290_Medieval_Era_Villa_Magna
11.35455415
R110_Late_Antiquity_Crypta_Balbi
11.36385498
R107_Late_Antiquity_Crypta_Balbi
11.51601928
I1979_Bronze_Age_Beaker_Northern_Italy
11.52752358
R836_Imperial_Era_Civitanova_Marche
11.72699024
CrusaderKnightApuliaAbruzzoLebanonCrusaderSI53
11.80939033
I2520_Balkans_BronzeAge
11.85892913
LateRomanIberiaGranada_I3581
12.01290140
HispanoRomanTaifaofValencia_I12644
12.18379662
LateRomanIberiaGranada_I3576
12.22534253
ScythianSouthernMoldova_scy305
12.31035743
R973_Medieval_Era_Tivoli_Palazzo_Cianti
12.43470949
PortugueseCordobaCaliphate_I12516
12.43764849
R54_Medieval_Era_Villa_Magna
12.47328345
SZ40
My father
ance to:
R
2.31231486
SZ36
2.64210144
SZ31
3.65517441
CL36
4.38810893
R36_Late_Antiquity_Celio
4.44244302
ScythianMoldova_SCY300
4.48075886
SZ43
4.75121037
SZ37
4.77727956
ScythianSouthernMoldova_scy192
4.93945341
I3499_NWBalkans_PannonianPlain_Vucedol_EN
5.92184093
R1_Iron_Age_Protovillanovan_Martinsicuro
6.54383680
R120_Late_Antiquity_S_Ercolano_Necropolis_Ostia
6.77214885
CL23
6.79253266
ScythianSouthernMoldova_scy197
6.80238194
R33_Late_Antiquity_Mausole_di_Augusto
6.89327934
R1283_Medieval_Era_Cancelleria
7.28193656
R55_Medieval_Era_Villa_Magna
7.35707822
R111_Imperial_Era_Via_Paisiello_Necropolis
7.56400026
I4332_Balkans_BronzeAge
7.89228737
I4331_Balkans_BronzeAge
8.10115424
SZ1
8.23665587
R121_Late_Antiquity_S_Ercolano_Necropolis_Ostia
8.31322440
R1549_Imperial_Era_Monterotondo
8.37486716
R1287_Medieval_Era_Cancelleria
8.38998808
R969_Medieval_Era_Tivoli_Palazzo_Cianti
8.60088949
SZ28
8.73870128
R1285_Medieval_Era_Cancelleria
8.94750244
R60_Medieval_Era_Villa_Magna
9.24319750
I3313_Balkans_BronzeAge
9.39954254
ScythianSouthernMoldova_scy305
9.40642334
R970_Medieval_Era_Tivoli_Palazzo_Cianti
9.50494608
R835_Imperial_Era_Civitanova_Marche
9.97185539
I8475_NE_Iberia_RomP_atypical
9.98261990
R118_Late_Antiquity_S_Ercolano_Necropolis_Ostia
10.50689298
Bul6_Balkans_BronzeAge
10.52640014
CrusaderKnightApuliaAbruzzoLebanonCrusaderSI53
10.67944287
R474_Iron_Age_Civitavecchia
10.80379563
R107_Late_Antiquity_Crypta_Balbi
10.93032021
I9123_Bronze_Age_Armenoi_Crete
11.00753833
R1290_Medieval_Era_Villa_Magna
11.03906699
R105_Late_Antiquity_Crypta_Balbi
11.10504390
CL121
11.11533175
I2176_Balkans_BronzeAge
11.50884877
CL49
11.65652607
R836_Imperial_Era_Civitanova_Marche
11.96119559
R52_Medieval_Era_Villa_Magna
12.13247708
R113_Imperial_Era_Via_Paisiello_Necropolis
12.16270940
R54_Medieval_Era_Villa_Magna
12.24041257
GironaSantJuliadeRamis_I10853
12.25901709
HispanoRomanTaifaofValencia_I12647
12.27378507
I2165_Balkans_BronzeAge
12.37654637
R973_Medieval_Era_Tivoli_Palazzo_Cianti
12.61248191
SpaniardCordobaCaliphate_I12515
12.61421817
R59_Medieval_Era_Villa_Magna
12.71691393
I1979_Bronze_Age_Beaker_Northern_Italy
12.76226077
IberianCordobaCaliphate_I7498
12.90326703
R110_Late_Antiquity_Crypta_Balbi
13.18335314
R61_Medieval_Era_Villa_Magna
13.21174856
R131_Imperial_Era_Via_Paisiello_Necropolis
13.24511231
CrusaderKnightTuscanLebanonCrusaderSI41
13.29071857
R122_Late_Antiquity_S_Ercolano_Necropolis_Ostia
My mother
Distance to:
S
2.88882329
R36_Late_Antiquity_Celio
3.17130888
SZ36
3.18626741
CL36
4.07612561
I3499_NWBalkans_PannonianPlain_Vucedol_EN
4.24293530
SZ31
4.50363187
ScythianMoldova_SCY300
4.53321078
ScythianSouthernMoldova_scy192
5.28071965
SZ43
5.89844047
R120_Late_Antiquity_S_Ercolano_Necropolis_Ostia
6.01418324
CL23
6.34981890
SZ37
6.56880507
R111_Imperial_Era_Via_Paisiello_Necropolis
6.78795256
R1283_Medieval_Era_Cancelleria
7.04606273
R1_Iron_Age_Protovillanovan_Martinsicuro
7.13773774
R1549_Imperial_Era_Monterotondo
7.28385887
R55_Medieval_Era_Villa_Magna
7.67028683
R121_Late_Antiquity_S_Ercolano_Necropolis_Ostia
7.98259356
R33_Late_Antiquity_Mausole_di_Augusto
7.98716470
R1287_Medieval_Era_Cancelleria
8.02082913
ScythianSouthernMoldova_scy197
8.24172919
R969_Medieval_Era_Tivoli_Palazzo_Cianti
8.48862769
R835_Imperial_Era_Civitanova_Marche
8.49162529
R1285_Medieval_Era_Cancelleria
8.55114612
I4332_Balkans_BronzeAge
8.58980209
R118_Late_Antiquity_S_Ercolano_Necropolis_Ostia
8.71608857
I4331_Balkans_BronzeAge
8.82194423
SZ1
8.84709557
I8475_NE_Iberia_RomP_atypical
8.84783589
R970_Medieval_Era_Tivoli_Palazzo_Cianti
8.96010045
R60_Medieval_Era_Villa_Magna
9.32187213
SZ28
9.41667139
I9123_Bronze_Age_Armenoi_Crete
9.52474147
I3313_Balkans_BronzeAge
9.81495797
CL121
9.91983367
R474_Iron_Age_Civitavecchia
10.55326490
ScythianSouthernMoldova_scy305
10.58652918
R105_Late_Antiquity_Crypta_Balbi
10.60812896
Bul6_Balkans_BronzeAge
10.69788297
CrusaderKnightApuliaAbruzzoLebanonCrusaderSI53
10.87427699
R1290_Medieval_Era_Villa_Magna
11.17228267
HispanoRomanTaifaofValencia_I12647
11.18555318
R107_Late_Antiquity_Crypta_Balbi
11.19276552
R52_Medieval_Era_Villa_Magna
11.20393235
SpaniardCordobaCaliphate_I12515
11.24333580
R113_Imperial_Era_Via_Paisiello_Necropolis
11.30382236
R836_Imperial_Era_Civitanova_Marche
11.31675749
I2176_Balkans_BronzeAge
11.70965841
R54_Medieval_Era_Villa_Magna
11.72238030
CrusaderKnightTuscanLebanonCrusaderSI41
11.75479902
GironaSantJuliadeRamis_I10853
11.76541117
IberianCordobaCaliphate_I7498
12.06424055
R973_Medieval_Era_Tivoli_Palazzo_Cianti
12.45214439
R110_Late_Antiquity_Crypta_Balbi
12.61743635
R131_Imperial_Era_Via_Paisiello_Necropolis
12.79907028
R122_Late_Antiquity_S_Ercolano_Necropolis_Ostia
12.81322754
Scythian_SCY311
12.89416922
CL49
12.91482481
R56_Medieval_Era_Villa_Magna
12.92041408
R59_Medieval_Era_Villa_Magna
13.00159221
SZ40
Dear Dou.
I am not an expert in distance calculations, but the fact is that different calculators provide different distances. MTA considers that distances up to 10 are from individuals who are their ancestors, from 11 to 20 of individuals who are part of your ancestry, and from 21 to 30 of individuals who are possibly related to your ancestry. Maciamo Hey considers distances of 7 as a strong indication of ancestry. I have noticed that the south Italians and Italians of the northeast are the ones that present the shortest distances in relation to ancestral populations. Perhaps this is an indication that in these regions the genetic changes have been smaller in relation to the modern population. The Middle Ages were quite tumultuous in the Iberian Peninsula from the arrival of the Moors in the 8th century until the completion of the reconquest at the end of the 14th century. Population movements were immense during this period. The expulsion of the Moors was not a successful operation in much of Spain (see the following excerpt from the English wikipedia). Portugal, with the advent of colonization, suffered a large population deficit in Minho, Douro and Alentejo. Migrants from other regions of Europe helped to overcome the lack of local labor and, in the Sado region, Alentejo, African slaves were recruited.
Cheers :)
So I only have distances of 7 (real ancestry) with Spanish or pseudo-Roman samples in this calculator, but that contradicts what MTA tells me, giving G25 the reason. For example, according to the criteria used in MTA the true ancestry (redundant, lol) is up to 10 since that means that I clearly have closeness to the Italian samples of the iron and Roman ages. Half of my ancestry consists basically of Etruscans, Iberians, Gallo-Romans and Romans of Hispania.
What should I trust having these results? For me, this calculator needs to add more samples or directly use another one.
https://i.postimg.cc/zB00TFkP/IMG-20200107-171306.jpg
https://i.postimg.cc/PJJKyv3f/IMG-20200107-171131.jpg
So I only have distances of 7 (real ancestry) with Spanish or pseudo-Roman samples in this calculator, but that contradicts what MTA tells me, giving G25 the reason. For example, according to the criteria used in MTA the true ancestry (redundant, lol) is up to 10 since that means that I clearly have closeness to the Italian samples of the iron and Roman ages. Half of my ancestry consists basically of Etruscans, Iberians, Gallo-Romans and Romans of Hispania.
What should I trust having these results? For me, this calculator needs to add more samples or directly use another one.
https://i.postimg.cc/zB00TFkP/IMG-20200107-171306.jpg
https://i.postimg.cc/PJJKyv3f/IMG-20200107-171131.jpg
Hi Dou.
From the results displayed by the MTA to the Iberians you can infer the following.: Gallo-Romans are Romanized Celtiberians. Visigoths are Germanized Celtiberians, with much greater Iberian ancestry than Germanic ancestry. Al-Andalusians are Islamized Iberian / Celtiberians, with some Arab / Berber ancestry. Hispanic Romans are Romanized Iberian / Celtiberians. Finally, the Etruscans, genetically, are between the Nothwest Italians and the Iberians.In short, you are more Iberian than ever. Think about that.
Cheers:)
Well, no old sample really stands out for me since only one is less than 6.0, if they are Spanish samples of the bronze or iron age it is even more strange. That they are old is no excuse since one has obtained a distance of 1.8 with an old sample in this same thread.
To compare from Global25 (mine):
[1] "1. CLOSEST SINGLE ITEM DISTANCE%"
Iberia_Northeast_c.8-12CE:I10895 ITA_Etruscan:RMPR473
0.1725485 0.1767569
Iberia_Northeast_c.8-12CE:I10892 Iberia_Northeast_c.8-12CE:I10853
0.1885524 0.2103521
ITA_Collegno_MA:CL23 Bell_Beaker_Bavaria:I3594
0.2113906 0.2229933
ITA_Prenestini_tribe_IA:RMPR435b Iberia_Southeast_c.3-4CE:I3982
0.2244037 0.2286416
ITA_Rome_Late_Antiquity:RMPR33 ITA_Boville_Ernica_Latini_IA:RMPR1021
0.2337627 0.2363535
Iberia_Southeast_c.10-16CE:I12514 ITA_Collegno_MA:CL36
0.2425407 0.2449306
Iberia_Southeast_c.10-16CE:I12515 ITA_Rome_MA:RMPR1287
0.2464224 0.2472590
ITA_Ardea_Latini_IA:RMPR851 ITA_Collegno_MA:CL94
0.2502159 0.2516029
ITA_Proto-Villanovan:RMPR1 ITA_Rome_Renaissance:RMPR1221
0.2522915 0.2571848
HRV_IA:I3313 Levant_LBN_MA_Mixed:SI-41
0.2620630 0.2622670
ITA_Rome_Late_Antiquity:RMPR105 HUN_BA:I7040
0.2651754 0.2656181
ITA_Rome_MA:RMPR61 Iberia_Southeast_c.5-8CE:I3585
0.2686559 0.2688010
TZA_Zanzibar_Euro_outlier:I0588 Bell_Beaker_Bavaria:I5524
0.2720257 0.2721195
Bell_Beaker_ITA:I2478 Iberia_Southeast_c.10-16CE:I7498
0.2730165 0.2733715
Iberia_Southeast_c.5-8CE:I3582 Iberia_Southeast_c.10-16CE:I7425
0.2745505 0.2764634
ITA_Rome_Imperial:RMPR116 Bell_Beaker_Bavaria:I5520
0.2796230 0.2823384
Bell_Beaker_Bavaria:E09538 Iberia_North_IA:I3758
0.2824199 0.2837728
DEU_Roman:FN_2 ITA_Rome_MA:RMPR1285
0.2847420 0.2862429
Iberia_North_BA:I2471 Iberia_Northeast_c.6-8CE_ES:I7673
0.2865519 0.2908969
ITA_Collegno_MA:CL57 Iberia_East_IA:I12879
0.2925645 0.2928361
HUN_MA_Szolad:SZ28 Iberia_Southeast_BA:I8570
0.2937090 0.2945658
DEU_Lech_EBA:POST_44 ITA_Rome_Imperial:RMPR113
0.2960743 0.2973096
ITA_Rome_Renaissance:RMPR1224 ITA_Collegno_MA:CL121
0.2994411 0.2998483
HRV_EBA:I3499 Bell_Beaker_FRA_C:I3874
0.3009950 0.3015427
DEU_Lech_BBC:UNTA58_68Sk1 CZE_Hallstatt_Bylany:DA111
0.3022913 0.3026153
HUN_MA_Szolad:SZ43 DEU_Lech_MBA:OTTM_151ind2_d
0.3045094 0.3070668
Iberia_Northeast_c.6-8CE_ES:I3777 ITA_Rome_Late_Antiquity:RMPR109
0.3086649 0.3088576
Bell_Beaker_CZE:I4885 ITA_Rome_Late_Antiquity:RMPR121
0.3103901 0.3115959
ITA_Rome_Late_Antiquity:RMPR110 ITA_Rome_Renaissance:RMPR1220
0.3133496 0.3145997
Bell_Beaker_HUN_EBA:I2364 ITA_Rome_Late_Antiquity:RMPR122
0.3151666 0.3153094
ITA_Etruscan:RMPR474b Iberia_East_IA:I3320
0.3159193 0.3169921
ITA_Rome_Late_Antiquity:RMPR36 ITA_Rome_MA:RMPR1283
0.3175201 0.3175374
HRV_MBA:I4331 HUN_MA_Szolad:SZ45
0.3177672 0.3180975
Scythian_MDA:scy197 Iberia_Southeast_c.10-16CE:I7424
0.3192053 0.3199015
Scythian_HUN:DA198 Iberia_North_IA:I3759
0.3209003 0.3219891
Iberia_Northeast_Empuries1:I8209 ITA_Etruscan_o:RMPR475b
0.3220233 0.3223616
DEU_Welzin_BA_outlier3:WEZ57 Iberia_Northeast_Empuries1:I8203
0.3226810 0.3238873
HUN_BA_o:SZ1 Iberia_East_IA:I3322
0.3240741 0.3255104
ITA_Rome_Late_Antiquity:RMPR120 Iberia_Southeast_c.10-16CE:I7457
0.3273973 0.3287644
ITA_Rome_MA:RMPR52 ITA_Rome_MA:RMPR60
0.3293342 0.3296483
ITA_Rome_MA:RMPR63 ITA_Rome_Late_Antiquity:RMPR108
0.3296847 0.3304694
Bell_Beaker_Iberia:I6623 ITA_Collegno_MA:CL63
0.3309592 0.3339177
ITA_Rome_MA:RMPR1289 Iberia_Southeast_c.5-8CE:I3581
0.3378787 0.3381878
ITA_Rome_MA:RMPR57 Iberia_Northeast_c.6CE_PL:I12034
0.3407550 0.3435855
Levant_LBN_MA_Euro:SI-40 Bell_Beaker_Bavaria:I6624
0.3438968 0.3439200
HUN_MA_Szolad:SZ36 HUN_BA:I7043
0.3440262 0.3444198
HUN_MA_Szolad:SZ37 HUN_MA_Szolad:SZ32
0.3446201 0.3446288
Iberia_Southwest_BA_Afr:I7162 Iberia_Southeast_c.5-8CE:I3576
0.3462470 0.3481279
ITA_Rome_Late_Antiquity:RMPR107 Iberia_North_BA:I2470
0.3484709 0.3484796
Iberia_Northeast_c.6CE_PL:I12031 Iberia_Northeast_RomP:I8339
0.3495697 0.3498900
Sorry, but if that is supposed to represent total genomic distance there is no way in hell that anyone could be this close to ancient samples. People aren't that close to modern samples from their own countries.
Also, I thought mta was using a version of K15, not Global 25. They certainly don't come up with distances this small.
This criticism is not directed at you. It's directed at this program.
^^Duarte Of course, and the Celtiberians are nothing more than Iberians with supposed Celtic ancestry. And the tartessos disappeared from the map.
The only interesting thing would be to determine the amount of ancestry of the Roman era that I have, this calculator is also useless to differentiate this type of thing. In general the use of old samples stinks.
To confirm what I already know, I see my ID or open a history book to learn more.
Sorry, but if that is supposed to represent total genomic distance there is no way in hell that anyone could be this close to ancient samples. People aren't that close to modern samples from their own countries.
Also, I thought mta was using a version of K15, not Global 25. They certainly don't come up with distances this small.
This criticism is not directed at you. It's directed at this program.
I agree.
^^Duarte Of course, and the Celtiberians are nothing more than Iberians with supposed Celtic ancestry. And the tartessos disappeared from the map.
The only interesting thing would be to determine the amount of ancestry of the Roman era that I have, this calculator is also useless to differentiate this type of thing. In general the use of old samples stinks.
To confirm what I already know, I see my ID or open a history book to learn more.
I agree.
The sample set is always growing. In fact, I plan on making a huge update sometime soon. This is far from complete. I intend on adding another 300+ samples. Though, it will not focus on Spain, but there are some from that region. I won't say which study yet, because I want it to be a surprise.
Also, you can prune the samples, by era to get further insights.
^^Duarte Of course, and the Celtiberians are nothing more than Iberians with supposed Celtic ancestry. And the tartessos disappeared from the map.
The only interesting thing would be to determine the amount of ancestry of the Roman era that I have, this calculator is also useless to differentiate this type of thing. In general the use of old samples stinks.
To confirm what I already know, I see my ID or open a history book to learn more.
I agree.
I give you reason, partly Dou.
The only certainty I have is that I am Brazilian and you, that you are Spanish. It's in my ID and in my passport. Inferring ancestral origins is not an easy task. It gets harder depending so long you want to get back in the past. History is fundamental in this process. In fact, it is indispensable. Without historians and history books it would be almost impossible to understand what auDNA, yDNA and mtDNA are trying to tell us.
Cheers :)
bigsnake49
10-02-20, 01:47
Sorry, but if that is supposed to represent total genomic distance there is no way in hell that anyone could be this close to ancient samples. People aren't that close to modern samples from their own countries.
Also, I thought mta was using a version of K15, not Global 25. They certainly don't come up with distances this small.
This criticism is not directed at you. It's directed at this program.
There has to be a standard definition of genetic distance used by all these calculators. Otherwise they are worthless.
bigsnake49
10-02-20, 01:49
It does seem that Italians are the least affected by time and invaders than any other area.
Hi Dou.
From the results displayed by the MTA to the Iberians you can infer the following.: Gallo-Romans are Romanized Celtiberians. Visigoths are Germanized Celtiberians, with much greater Iberian ancestry than Germanic ancestry. Al-Andalusians are Islamized Iberian / Celtiberians, with some Arab / Berber ancestry. Hispanic Romans are Romanized Iberian / Celtiberians. Finally, the Etruscans, genetically, are between the Nothwest Italians and the Iberians.In short, you are more Iberian than ever. Think about that.
Cheers:)
it is weird that there are no Ostrogoths in MTA
https://en.wikipedia.org/wiki/Ostrogothic_Kingdom
Clearly the tribe that destroyed the western Roman empire ( as well as the Vandals ) is missing
Interesting is that they mark sample R1 as Gallo-Roman
and
Vucedol as Gallo-Roman ( sample I3499 )
Scythian Scy300 is also noted Gallo-Roman
Scy192 as Illyrian
I am not even sure if they have aligned the description with the sample ID's
It does seem that Italians are the least affected by time and invaders than any other area.
If something characterizes the Italians it is the little mixture "of other parts", they are like the Basques. As we have seen in many other calculators.
My Greek friend's results
Distance to:
Chris
4.28588381
CrusaderKnightApuliaAbruzzoLebanonCrusaderSI53
5.05022772
R973_Medieval_Era_Tivoli_Palazzo_Cianti
5.34406213
R54_Medieval_Era_Villa_Magna
5.56840193
R53_Medieval_Era_Villa_Magna
5.62346868
R436_Imperial_Era_Palestrina
5.64285389
R49_Imperial_Era_Centocelle_Necropolis
5.82512661
R1544_Imperial_Era_Necropolis_of_Monte_Agnese
6.08613999
R58_Medieval_Era_Villa_Magna
6.12218915
R64_Medieval_Era_Villa_Magna
6.29856333
R65_Medieval_Era_Villa_Magna
6.30786018
R836_Imperial_Era_Civitanova_Marche
6.48573049
R136_Imperial_Era_Marcellino_&_Pietro
6.92205172
R59_Medieval_Era_Villa_Magna
6.97249597
CL110
6.99639907
R1290_Medieval_Era_Villa_Magna
7.29782844
R122_Late_Antiquity_S_Ercolano_Necropolis_Ostia
7.37931569
R114_Imperial_Era_Via_Paisiello_Necropolis
7.43180328
R60_Medieval_Era_Villa_Magna
7.46902939
R56_Medieval_Era_Villa_Magna
7.91697543
R69_Imperial_Era_ANAS
8.10577572
R969_Medieval_Era_Tivoli_Palazzo_Cianti
8.11352574
R970_Medieval_Era_Tivoli_Palazzo_Cianti
8.19114766
R35_Late_Antiquity_Celio
8.21347673
R32_Late_Antiquity_Mausole_di_Augusto
8.26273562
R117_Late_Antiquity_S_Ercolano_Necropolis_Ostia
8.31496843
R125_Imperial_Era_Casale_del_Dolce
8.39031585
R131_Imperial_Era_Via_Paisiello_Necropolis
8.43552014
R121_Late_Antiquity_S_Ercolano_Necropolis_Ostia
8.56914815
R835_Imperial_Era_Civitanova_Marche
8.84167405
R57_Medieval_Era_Villa_Magna
8.95088264
R51_Imperial_Era_Centocelle_Necropolis
8.95756105
CL121
9.02840517
R107_Late_Antiquity_Crypta_Balbi
9.02989479
R47_Imperial_Era_Centocelle_Necropolis
9.06676348
R137_Imperial_Era_Marcellino_&_Pietro
9.30049999
R50_Imperial_Era_Centocelle_Necropolis
9.39606833
R1548_Imperial_Era_Monterotondo
9.50450420
CL25
9.66113347
SZ40
9.91295112
R30_Late_Antiquity_Mausole_di_Augusto
9.98170827
R52_Medieval_Era_Villa_Magna
10.02900294
R113_Imperial_Era_Via_Paisiello_Necropolis
10.08904852
R437_Iron_Age_Palestrina_Selicata
10.97048313
CL38
11.48795456
R850_Iron_Age_Ardea
11.49811289
R1549_Imperial_Era_Monterotondo
11.54598199
R115_Imperial_Era_Via_Paisiello_Necropolis
11.74759124
ScythianSouthernMoldova_scy192
11.76225744
R39_Imperial_Era_Isola_Sacra_Necropolis
11.77427705
R1283_Medieval_Era_Cancelleria
11.88175492
SZ37
11.93876459
R123_Imperial_Era_Casale_del_Dolce
12.01854817
R133__Imperial_Era_Marcellino_&_Pietro
12.14137966
ScythianSouthernMoldova_scy305
12.23118555
R1545_Imperial_Era_Necropolis_of_Monte_Agnese
12.27457942
R120_Late_Antiquity_S_Ercolano_Necropolis_Ostia
12.54284657
R36_Late_Antiquity_Celio
12.56879867
SZ36
12.59454247
CL30
12.63040775
R118_Late_Antiquity_S_Ercolano_Necropolis_Ostia
12.69951968
SZ31
12.75455213
R1543_Imperial_Era_Necropolis_of_Monte_Agnese
12.77308107
SZ19
12.83268873
R34_Late_Antiquity_Mausole_di_Augusto
12.84638471
ScythianSouthernMoldova_scy197
13.36355117
R111_Imperial_Era_Via_Paisiello_Necropolis
13.49163815
R134_Imperial_Era_Marcellino_&_Pietro
13.56214953
R81_Imperial_Era_Viale_Rossini_Necropolis
13.59149734
ScythianMoldova_SCY300
13.65924961
R66_Imperial_Era_ANAS
13.97759278
R1287_Medieval_Era_Cancelleria
14.17488977
R40_Imperial_Era_Isola_Sacra_Necropolis
14.35786196
R1285_Medieval_Era_Cancelleria
14.41206439
I1632_AR1/46_Middle_Late_Chalcolithic_Vayots-Dzor_Armenia
14.91044265
I8205_NE_Iberia_Hel_Empuries2
15.08042440
CL36
15.41957522
SZ43
15.49610274
I1631_AR1/43c_Middle_Late_Chalcolithic_Vayots-Dzor_Armenia
15.53417201
I9041_Bronze_Age_Mycenaean_Galatas_Apatheia_Pelopo nnese
15.56011889
R41_Imperial_Era_Isola_Sacra_Necropolis
15.77763290
R128_Imperial_Era_Casale_del_Dolce
15.84724266
I1584_Barcın_Höyük_Chalcolithic
16.06852825
I2499_Bronze_Age_Anatolian_Harmanӧren-GӧndürleHӧyük_Isparta
16.18063349
I2495_Bronze_Age_Anatolian_Harmanӧren-GӧndürleHӧyük_Isparta
16.18529271
R45_Imperial_Era_Isola_Sacra_Necropolis
16.27650147
I1634_AR1/44_Middle_Late_Chalcolithic_Vayots-Dzor_Armenia
16.44747093
I3499_NWBalkans_PannonianPlain_Vucedol_EN
16.59310098
SZ1
16.89462045
R72_Imperial_Era_ANAS
17.22309496
R75_Imperial_Era_Viale_Rossini_Necropolis
17.42001435
R44_Imperial_Era_Isola_Sacra_Necropolis
17.43798727
R73_Imperial_Era_ANAS
18.00203600
R43_Imperial_Era_Isola_Sacra_Necropolis
18.24023849
R1_Iron_Age_Protovillanovan_Martinsicuro
18.30884213
I9006_Bronze_Age_Mycenaean_Agia_Kyriaki_Salamis
18.39734220
I9123_Bronze_Age_Armenoi_Crete
18.43499661
R130_Imperial_Era_Marcellino_&_Pietro
18.46374556
I9033_Bronze_Age_Mycenaean_Peristeria_Tryfilia_Pel oponnese
18.90556532
I9010_Bronze_Age_Mycenaean_Galatas_Apatheia_Pelopo nnese
18.91710866
R80_Imperial_Era_Viale_Rossini_Necropolis
Target: Chris
Distance: 1.1465% / 1.14653976 | ADC: 0.25x
54.6
CrusaderKnightApuliaAbruzzoLebanonCrusaderSI53
27.0
R69_Imperial_Era_ANAS
8.8
R57_Medieval_Era_Villa_Magna
8.4
I1631_AR1/43c_Middle_Late_Chalcolithic_Vayots-Dzor_Armenia
1.2
SZ20
What kind of ancestry did CrusaderKnight...SI53, CL110,121,25 and SZ40 have ?
My Greek friend's results
Distance to:
Chris
4.28588381
CrusaderKnightApuliaAbruzzoLebanonCrusaderSI53
5.05022772
R973_Medieval_Era_Tivoli_Palazzo_Cianti
5.34406213
R54_Medieval_Era_Villa_Magna
5.56840193
R53_Medieval_Era_Villa_Magna
5.62346868
R436_Imperial_Era_Palestrina
5.64285389
R49_Imperial_Era_Centocelle_Necropolis
5.82512661
R1544_Imperial_Era_Necropolis_of_Monte_Agnese
6.08613999
R58_Medieval_Era_Villa_Magna
6.12218915
R64_Medieval_Era_Villa_Magna
6.29856333
R65_Medieval_Era_Villa_Magna
6.30786018
R836_Imperial_Era_Civitanova_Marche
6.48573049
R136_Imperial_Era_Marcellino_&_Pietro
6.92205172
R59_Medieval_Era_Villa_Magna
6.97249597
CL110
6.99639907
R1290_Medieval_Era_Villa_Magna
7.29782844
R122_Late_Antiquity_S_Ercolano_Necropolis_Ostia
7.37931569
R114_Imperial_Era_Via_Paisiello_Necropolis
7.43180328
R60_Medieval_Era_Villa_Magna
7.46902939
R56_Medieval_Era_Villa_Magna
7.91697543
R69_Imperial_Era_ANAS
8.10577572
R969_Medieval_Era_Tivoli_Palazzo_Cianti
8.11352574
R970_Medieval_Era_Tivoli_Palazzo_Cianti
8.19114766
R35_Late_Antiquity_Celio
8.21347673
R32_Late_Antiquity_Mausole_di_Augusto
8.26273562
R117_Late_Antiquity_S_Ercolano_Necropolis_Ostia
8.31496843
R125_Imperial_Era_Casale_del_Dolce
8.39031585
R131_Imperial_Era_Via_Paisiello_Necropolis
8.43552014
R121_Late_Antiquity_S_Ercolano_Necropolis_Ostia
8.56914815
R835_Imperial_Era_Civitanova_Marche
8.84167405
R57_Medieval_Era_Villa_Magna
8.95088264
R51_Imperial_Era_Centocelle_Necropolis
8.95756105
CL121
9.02840517
R107_Late_Antiquity_Crypta_Balbi
9.02989479
R47_Imperial_Era_Centocelle_Necropolis
9.06676348
R137_Imperial_Era_Marcellino_&_Pietro
9.30049999
R50_Imperial_Era_Centocelle_Necropolis
9.39606833
R1548_Imperial_Era_Monterotondo
9.50450420
CL25
9.66113347
SZ40
9.91295112
R30_Late_Antiquity_Mausole_di_Augusto
9.98170827
R52_Medieval_Era_Villa_Magna
10.02900294
R113_Imperial_Era_Via_Paisiello_Necropolis
10.08904852
R437_Iron_Age_Palestrina_Selicata
10.97048313
CL38
11.48795456
R850_Iron_Age_Ardea
11.49811289
R1549_Imperial_Era_Monterotondo
11.54598199
R115_Imperial_Era_Via_Paisiello_Necropolis
11.74759124
ScythianSouthernMoldova_scy192
11.76225744
R39_Imperial_Era_Isola_Sacra_Necropolis
11.77427705
R1283_Medieval_Era_Cancelleria
11.88175492
SZ37
11.93876459
R123_Imperial_Era_Casale_del_Dolce
12.01854817
R133__Imperial_Era_Marcellino_&_Pietro
12.14137966
ScythianSouthernMoldova_scy305
12.23118555
R1545_Imperial_Era_Necropolis_of_Monte_Agnese
12.27457942
R120_Late_Antiquity_S_Ercolano_Necropolis_Ostia
12.54284657
R36_Late_Antiquity_Celio
12.56879867
SZ36
12.59454247
CL30
12.63040775
R118_Late_Antiquity_S_Ercolano_Necropolis_Ostia
12.69951968
SZ31
12.75455213
R1543_Imperial_Era_Necropolis_of_Monte_Agnese
12.77308107
SZ19
12.83268873
R34_Late_Antiquity_Mausole_di_Augusto
12.84638471
ScythianSouthernMoldova_scy197
13.36355117
R111_Imperial_Era_Via_Paisiello_Necropolis
13.49163815
R134_Imperial_Era_Marcellino_&_Pietro
13.56214953
R81_Imperial_Era_Viale_Rossini_Necropolis
13.59149734
ScythianMoldova_SCY300
13.65924961
R66_Imperial_Era_ANAS
13.97759278
R1287_Medieval_Era_Cancelleria
14.17488977
R40_Imperial_Era_Isola_Sacra_Necropolis
14.35786196
R1285_Medieval_Era_Cancelleria
14.41206439
I1632_AR1/46_Middle_Late_Chalcolithic_Vayots-Dzor_Armenia
14.91044265
I8205_NE_Iberia_Hel_Empuries2
15.08042440
CL36
15.41957522
SZ43
15.49610274
I1631_AR1/43c_Middle_Late_Chalcolithic_Vayots-Dzor_Armenia
15.53417201
I9041_Bronze_Age_Mycenaean_Galatas_Apatheia_Pelopo nnese
15.56011889
R41_Imperial_Era_Isola_Sacra_Necropolis
15.77763290
R128_Imperial_Era_Casale_del_Dolce
15.84724266
I1584_Barcın_Höyük_Chalcolithic
16.06852825
I2499_Bronze_Age_Anatolian_Harmanӧren-GӧndürleHӧyük_Isparta
16.18063349
I2495_Bronze_Age_Anatolian_Harmanӧren-GӧndürleHӧyük_Isparta
16.18529271
R45_Imperial_Era_Isola_Sacra_Necropolis
16.27650147
I1634_AR1/44_Middle_Late_Chalcolithic_Vayots-Dzor_Armenia
16.44747093
I3499_NWBalkans_PannonianPlain_Vucedol_EN
16.59310098
SZ1
16.89462045
R72_Imperial_Era_ANAS
17.22309496
R75_Imperial_Era_Viale_Rossini_Necropolis
17.42001435
R44_Imperial_Era_Isola_Sacra_Necropolis
17.43798727
R73_Imperial_Era_ANAS
18.00203600
R43_Imperial_Era_Isola_Sacra_Necropolis
18.24023849
R1_Iron_Age_Protovillanovan_Martinsicuro
18.30884213
I9006_Bronze_Age_Mycenaean_Agia_Kyriaki_Salamis
18.39734220
I9123_Bronze_Age_Armenoi_Crete
18.43499661
R130_Imperial_Era_Marcellino_&_Pietro
18.46374556
I9033_Bronze_Age_Mycenaean_Peristeria_Tryfilia_Pel oponnese
18.90556532
I9010_Bronze_Age_Mycenaean_Galatas_Apatheia_Pelopo nnese
18.91710866
R80_Imperial_Era_Viale_Rossini_Necropolis
Target: Chris
Distance: 1.1465% / 1.14653976 | ADC: 0.25x
54.6
CrusaderKnightApuliaAbruzzoLebanonCrusaderSI53
27.0
R69_Imperial_Era_ANAS
8.8
R57_Medieval_Era_Villa_Magna
8.4
I1631_AR1/43c_Middle_Late_Chalcolithic_Vayots-Dzor_Armenia
1.2
SZ20
What kind of ancestry did CrusaderKnight...SI53, CL110,121,25 and SZ40 have ?
Hi Lacreme
To understand the meaning of these samples, view and interpret the following bar graphs.
Cheers :)
https://i.imgur.com/E4BdIfr.png
https://i.imgur.com/aVdGMBT.png
My Greek friend's results
Distance to:
Chris
4.28588381
CrusaderKnightApuliaAbruzzoLebanonCrusaderSI53
5.05022772
R973_Medieval_Era_Tivoli_Palazzo_Cianti
5.34406213
R54_Medieval_Era_Villa_Magna
5.56840193
R53_Medieval_Era_Villa_Magna
5.62346868
R436_Imperial_Era_Palestrina
5.64285389
R49_Imperial_Era_Centocelle_Necropolis
5.82512661
R1544_Imperial_Era_Necropolis_of_Monte_Agnese
6.08613999
R58_Medieval_Era_Villa_Magna
6.12218915
R64_Medieval_Era_Villa_Magna
6.29856333
R65_Medieval_Era_Villa_Magna
6.30786018
R836_Imperial_Era_Civitanova_Marche
6.48573049
R136_Imperial_Era_Marcellino_&_Pietro
6.92205172
R59_Medieval_Era_Villa_Magna
6.97249597
CL110
6.99639907
R1290_Medieval_Era_Villa_Magna
7.29782844
R122_Late_Antiquity_S_Ercolano_Necropolis_Ostia
7.37931569
R114_Imperial_Era_Via_Paisiello_Necropolis
7.43180328
R60_Medieval_Era_Villa_Magna
7.46902939
R56_Medieval_Era_Villa_Magna
7.91697543
R69_Imperial_Era_ANAS
8.10577572
R969_Medieval_Era_Tivoli_Palazzo_Cianti
8.11352574
R970_Medieval_Era_Tivoli_Palazzo_Cianti
8.19114766
R35_Late_Antiquity_Celio
8.21347673
R32_Late_Antiquity_Mausole_di_Augusto
8.26273562
R117_Late_Antiquity_S_Ercolano_Necropolis_Ostia
8.31496843
R125_Imperial_Era_Casale_del_Dolce
8.39031585
R131_Imperial_Era_Via_Paisiello_Necropolis
8.43552014
R121_Late_Antiquity_S_Ercolano_Necropolis_Ostia
8.56914815
R835_Imperial_Era_Civitanova_Marche
8.84167405
R57_Medieval_Era_Villa_Magna
8.95088264
R51_Imperial_Era_Centocelle_Necropolis
8.95756105
CL121
9.02840517
R107_Late_Antiquity_Crypta_Balbi
9.02989479
R47_Imperial_Era_Centocelle_Necropolis
9.06676348
R137_Imperial_Era_Marcellino_&_Pietro
9.30049999
R50_Imperial_Era_Centocelle_Necropolis
9.39606833
R1548_Imperial_Era_Monterotondo
9.50450420
CL25
9.66113347
SZ40
9.91295112
R30_Late_Antiquity_Mausole_di_Augusto
9.98170827
R52_Medieval_Era_Villa_Magna
10.02900294
R113_Imperial_Era_Via_Paisiello_Necropolis
10.08904852
R437_Iron_Age_Palestrina_Selicata
10.97048313
CL38
11.48795456
R850_Iron_Age_Ardea
11.49811289
R1549_Imperial_Era_Monterotondo
11.54598199
R115_Imperial_Era_Via_Paisiello_Necropolis
11.74759124
ScythianSouthernMoldova_scy192
11.76225744
R39_Imperial_Era_Isola_Sacra_Necropolis
11.77427705
R1283_Medieval_Era_Cancelleria
11.88175492
SZ37
11.93876459
R123_Imperial_Era_Casale_del_Dolce
12.01854817
R133__Imperial_Era_Marcellino_&_Pietro
12.14137966
ScythianSouthernMoldova_scy305
12.23118555
R1545_Imperial_Era_Necropolis_of_Monte_Agnese
12.27457942
R120_Late_Antiquity_S_Ercolano_Necropolis_Ostia
12.54284657
R36_Late_Antiquity_Celio
12.56879867
SZ36
12.59454247
CL30
12.63040775
R118_Late_Antiquity_S_Ercolano_Necropolis_Ostia
12.69951968
SZ31
12.75455213
R1543_Imperial_Era_Necropolis_of_Monte_Agnese
12.77308107
SZ19
12.83268873
R34_Late_Antiquity_Mausole_di_Augusto
12.84638471
ScythianSouthernMoldova_scy197
13.36355117
R111_Imperial_Era_Via_Paisiello_Necropolis
13.49163815
R134_Imperial_Era_Marcellino_&_Pietro
13.56214953
R81_Imperial_Era_Viale_Rossini_Necropolis
13.59149734
ScythianMoldova_SCY300
13.65924961
R66_Imperial_Era_ANAS
13.97759278
R1287_Medieval_Era_Cancelleria
14.17488977
R40_Imperial_Era_Isola_Sacra_Necropolis
14.35786196
R1285_Medieval_Era_Cancelleria
14.41206439
I1632_AR1/46_Middle_Late_Chalcolithic_Vayots-Dzor_Armenia
14.91044265
I8205_NE_Iberia_Hel_Empuries2
15.08042440
CL36
15.41957522
SZ43
15.49610274
I1631_AR1/43c_Middle_Late_Chalcolithic_Vayots-Dzor_Armenia
15.53417201
I9041_Bronze_Age_Mycenaean_Galatas_Apatheia_Pelopo nnese
15.56011889
R41_Imperial_Era_Isola_Sacra_Necropolis
15.77763290
R128_Imperial_Era_Casale_del_Dolce
15.84724266
I1584_Barcın_Höyük_Chalcolithic
16.06852825
I2499_Bronze_Age_Anatolian_Harmanӧren-GӧndürleHӧyük_Isparta
16.18063349
I2495_Bronze_Age_Anatolian_Harmanӧren-GӧndürleHӧyük_Isparta
16.18529271
R45_Imperial_Era_Isola_Sacra_Necropolis
16.27650147
I1634_AR1/44_Middle_Late_Chalcolithic_Vayots-Dzor_Armenia
16.44747093
I3499_NWBalkans_PannonianPlain_Vucedol_EN
16.59310098
SZ1
16.89462045
R72_Imperial_Era_ANAS
17.22309496
R75_Imperial_Era_Viale_Rossini_Necropolis
17.42001435
R44_Imperial_Era_Isola_Sacra_Necropolis
17.43798727
R73_Imperial_Era_ANAS
18.00203600
R43_Imperial_Era_Isola_Sacra_Necropolis
18.24023849
R1_Iron_Age_Protovillanovan_Martinsicuro
18.30884213
I9006_Bronze_Age_Mycenaean_Agia_Kyriaki_Salamis
18.39734220
I9123_Bronze_Age_Armenoi_Crete
18.43499661
R130_Imperial_Era_Marcellino_&_Pietro
18.46374556
I9033_Bronze_Age_Mycenaean_Peristeria_Tryfilia_Pel oponnese
18.90556532
I9010_Bronze_Age_Mycenaean_Galatas_Apatheia_Pelopo nnese
18.91710866
R80_Imperial_Era_Viale_Rossini_Necropolis
Target: Chris
Distance: 1.1465% / 1.14653976 | ADC: 0.25x
54.6
CrusaderKnightApuliaAbruzzoLebanonCrusaderSI53
27.0
R69_Imperial_Era_ANAS
8.8
R57_Medieval_Era_Villa_Magna
8.4
I1631_AR1/43c_Middle_Late_Chalcolithic_Vayots-Dzor_Armenia
1.2
SZ20
What kind of ancestry did CrusaderKnight...SI53, CL110,121,25 and SZ40 have ?
For further clarity you can go to the vahaduo K12b UPDATED calculator, and in the target area paste in the coordinates for each sample from the list provided by Jovialis in the first post. Then just run it.
For example, your closest sample to the ones from the area of Rome is the following.
Distance to:
R973_Medieval_Era_Tivoli_Palazzo_Cianti
1.58242335
Italy_Abruzzo
2.75668750
Italy_Campania
3.45154284
Italy_Apulia
3.51985014
Italy_Sicily
5.79460279
Italy_Calabria
7.33679889
Italy_Marche
7.45086935
Italy_Lazio
8.31078215
Greek
8.78364958
Greek_Crete
9.23015710
Ashkenazy_Jews
9.38600554
Ashkenazi
10.73434209
Crimean_Tatar_Coast
10.78041279
Italy_Romagna
12.60919109
Sephardic_Jews
13.58354519
Albanian_Kosovo
13.74960254
Italy_Tuscany
14.32880721
France_Corsica
14.73088931
Morocco_Jews
14.91488518
Albanian_North
15.22677247
Crimean_Tatar_Mountain
15.46984328
Italy_Emilia
16.36394727
Italy_Liguria
17.16734400
Turk_West_BlackSea
17.42340954
Gagauz
17.46791630
Turk_Northwest
The Northern Italian areas are very far from it, the Southern Italian areas very close. You're a bit closer to the sample than most Greeks.
Target: Carlos
Distance: 1.0157% / 1.01566926 | ADC: 0.25x
19.8
GironaSantJuliadeRamis_I10892
15.6
GironaSantJuliadeRamis_I10895
13.8
R63_Medieval_Era_Villa_Magna
13.4
Roman-SoldierFN_2
11.4
I8209_NE_Iberia_Greek_Empuries1
10.6
Canarias
10.2
VasconicTribe_I8209
4.6
NorthAlpineBronzeAgeFrench_AITI_120
0.4
Mozabite
0.2
VisigothFrankishGirona_I12032
Target: Carlos
Distance: 0.0698% / 0.06977126
6.8
Valencia
5.4
VisigothFrankishGirona_I12032
5.0
R851_Iron_Age_Ardea
4.2
Andalucia
3.8
IlercavonesCatalan_I3321
3.0
Canarias
3.0
CL92
2.8
IlergetesTribeCatalan_I12878
2.8
AlemannicBavariaBIM_33
2.6
I8209_NE_Iberia_Greek_Empuries1
2.6
I8212_NE_Iberia_Greek_Empuries1_atypical
2.4
VasconesTribeVasconia_I3758
2.0
BronzeAgeEngland_I2462
2.0
I2433_Globular_Amphora
1.6
Sardinian
1.6
VasconicTribe_I8209
1.6
I1295_Malak_Preslavets
1.4
CEU30
1.4
Mozabite
1.4
I8344_NE_Iberia_Greek_Empuries1
1.4
R104_Late_Antiquity_Crypta_Balbi
1.4
R18_Neolithic_Ripabianca_di_Monterado
1.2
French_Basque
1.2
PortugueseCordobaCaliphate_I12516
1.2
CL93
1.2
I2215_Malak_Preslavets
1.2
IronAgeHinxton1_Celt_ERS389795
1.0
Castilla_La_Mancha
1.0
Spaniards
1.0
CarthagoMaghrebiAndalusia_I7457
1.0
ASH2-3_Iron_Age1
1.0
I4930_Bronze_Age_Beaker_Sicily
1.0
ZHAG_Boncuklu_Aceramic
1.0
I2405_Globular_Amphora
1.0
BronzeAgeUnetice_I0047
0.8
Moroccans
0.8
SZ31
0.8
NorthAlpineBronzeAgeFrench_AITI_119
0.8
R16_Neolithic_Ripabianca_di_Monterado
0.8
I2110_Trypillia
0.6
Baleares
0.6
Cornwall
0.6
English
0.6
German
0.6
Moroccan
0.6
Norwegian
0.6
SZ3
0.6
R113_Imperial_Era_Via_Paisiello_Necropolis
0.4
Adygei
0.4
Algerian
0.4
Argyll
0.4
Extremadura
0.4
Kent
0.4
Pais_Vasco
0.4
GalloRomanCeltMixIberia_I10866
0.4
HispanoRomanTaifaofValencia_I12647
0.4
CL63
0.4
CL84
0.4
CL87
0.4
SZ2
0.4
SZ42
0.4
I3313_Balkans_BronzeAge
0.4
R475_Iron_Age_Civitavecchia
0.4
R1_Iron_Age_Protovillanovan_Martinsicuro
0.4
R19_Neolithic_Ripabianca_di_Monterado
0.4
R1014_Chalcolithic_Monte_San_Biagio
0.4
I9127_Bronze_Age_Minoan_Moni_Odigitria_Heraklion_C rete
0.4
BerryAuBac_WHG
0.4
I2425_Balkans_Chalcolithic
0.4
I2440_Globular_Amphora
0.4
I2509_Balkans_Chalcolithic
0.4
I3714_Ukraine_Neolithic
0.4
Villabruna
0.2
Belorussian
0.2
British
0.2
Castilla_Y_Leon
0.2
Ethiopian_Jews
0.2
French
0.2
Georgians
0.2
Irish
0.2
Lezgins
0.2
Mixed_Germanic
0.2
Nganassan
0.2
Orcadian
0.2
Orkney
0.2
Sandawe_He
0.2
Selkup
0.2
Sicilian
0.2
Spanish
0.2
Pre-RomanGirona_I3324
0.2
IronAgeCatalan_I12640
0.2
SZ8
0.2
NorthAlpineBronzeAgeFrench_AITI_78
0.2
R1219_Medieval_Era_Cancelleria
0.2
R31_Late_Antiquity_Mausole_di_Augusto
0.2
R71_Imperial_Era_ANAS
0.2
R125_Imperial_Era_Casale_del_Dolce
0.2
R474_Iron_Age_Civitavecchia
0.2
R1015_Iron_Age_Veio_Grotta_Gramiccia
0.2
R5_Chalcolithic_Grotta_Continenza
0.2
I0074_Bronze_Age_Minoan_Hagios_Charalambos_Cave_La sithi_Crete
0.2
Bul8_Balkans_BronzeAge
0.2
I2165_Balkans_BronzeAge
0.2
I2176_Balkans_BronzeAge
0.2
I2403_Globular_Amphora
0.2
I2534_Romania_HG
0.2
I5405_Lepenski_Vir
0.2
BOO003_Bolshoy_Ostrov_Murmansk_Russia_3473±87_cal BP
Distance to:
Carlos
3.23232115
R63_Medieval_Era_Villa_Magna
3.62042815
GironaSantJuliadeRamis_I10892
4.08279316
GironaSantJuliadeRamis_I10895
4.88591854
CrusaderKnightFrenchLebanonCrusaderSI40
5.00235944
Roman-SoldierFN_2
5.54412301
R435_Iron_Age_Palestrina_Colombella
5.61196935
R1289_Medieval_Era_Cancelleria
5.67985915
I2215_Malak_Preslavets
5.78651017
Galicia
6.03445109
GironaSantJuliadeRamis_I10852
6.55386146
Baleares
6.56836357
I2478_Bronze_Age_Beaker_Northern_Italy
6.75678178
Extremadura
6.80016912
PortugueseCordobaCaliphate_I12516
7.20074996
R110_Late_Antiquity_Crypta_Balbi
7.23678105
Portuguese
7.25538421
VasconicTribe_I8209
7.25538421
I8209_NE_Iberia_Greek_Empuries1
7.83411769
NorthAlpineBronzeAgeFrench_AITI_43
8.00687829
CL94
8.02414481
VisigothIberianGirona_I12034
8.03897382
PortugueseCordobaCaliphate_I12514
8.17836169
R109_Late_Antiquity_Crypta_Balbi
8.31117320
NorthAlpineBronzeAgeSpanishGalicia_AITI_72
8.51501615
ElSotilloBasqueCountry_I1977
8.58027389
Castilla_Y_Leon
8.63172636
EarlyMedievalAndalusia_I3585
8.65401641
GironaSantJuliadeRamis_I10853
9.08631939
Bavaria_BB_II5524
9.10872658
R116_Imperial_Era_Via_Paisiello_Necropolis
9.10993963
CuevadelaPalomaSpain_I3239
9.14494396
R474_Iron_Age_Civitavecchia
9.31870163
I1113_Malak_Preslavets
9.36307108
Cataluna
9.37802218
R1224_Medieval_Era_Cancelleria
9.39497206
R1221_Medieval_Era_Cancelleria
9.40007979
MedievalTaifaofValencia_I12649
9.42079614
GironaSantJuliadeRamis_I10851
9.67607875
VasconesTribeVasconia_I3758
9.74992820
Spaniards
9.79244607
R851_Iron_Age_Ardea
9.80358098
IlergetesTribeCatalan_I3320
9.82258113
Murcia
9.93771100
R105_Late_Antiquity_Crypta_Balbi
9.98018537
Spanish
10.05859831
BasqueCarolingian_I3777
10.10798199
NorthAlpineBronzeAgeFrench_AITI_119
10.31501333
R1015_Iron_Age_Veio_Grotta_Gramiccia
10.40655563
R37_Imperial_Era_Isola_Sacra_Necropolis
10.44744466
EarlyMedievalIberiaGranada_I3981
10.52505107
GalloRomanCeltMixIberia_I10866
10.56115997
NorthAlpineBronzeAgeFrench_AITI_120
10.71094300
R1021_Iron_Age_Boville_Ernica
10.76935931
VasconesTribeVasconia_I3759
10.88690039
R473_Iron_Age_Civitavecchia
10.89503098
R1016_Iron_Age_Castel_di_Decima
11.22128780
BronzeAgeEngland_I2462
11.26240649
I2520_Balkans_BronzeAge
11.33116940
Pre-RomanGirona_I3324
11.40614747
CeltiberianMixTribeNorthernSpain_I3238
11.54747591
LBA_ElSotillo_Alava_I2469
11.56124128
N_Italian
11.56908812
IronAgeCatalan_I12640
11.62940669
Cantabria
11.72341674
Andalucia
11.75522012
North_Italian
11.76830914
Canarias
11.78944443
SpaniardCordobaCaliphate_I12515
11.79833039
I1297_Malak_Preslavets
12.14062601
IberianCordobaCaliphate_I7498
12.23360536
Castilla_La_Mancha
12.24686899
BronzeAgeSpainCogotas_I12208
12.24686899
BronzeAgeSpainCogotas_I12208
12.35959142
IlercavonesCatalan_I3321
12.41300930
SZ28
12.42888169
Valencia
12.68043769
French
12.74111063
CL23
12.88074532
RomanEraGirona_I8339
12.88418410
I8475_NE_Iberia_RomP_atypical
12.93327878
CL47
13.00833579
I3313_Balkans_BronzeAge
13.03174585
R1220_Medieval_Era_Cancelleria
13.04423628
R55_Medieval_Era_Villa_Magna
13.04782741
French
13.06628103
I4331_Balkans_BronzeAge
13.11199832
R61_Medieval_Era_Villa_Magna
13.12306748
CL102
13.18797938
BronzeAgeNorthernSpain_I2472
13.25133578
I2181_Balkans_Chalcolithic_outlier
13.37636348
Aragon
13.39109032
R108_Late_Antiquity_Crypta_Balbi
13.42960908
HispanoRomanTaifaofValencia_I12647
13.50022222
BronzeAgeSpainCogotas_I12209
13.51744429
CarthagoMaghrebiAndalusia_I7457
13.56665397
I2111_Trypillia
13.58593390
SZ45
13.96427585
I4332_Balkans_BronzeAge
13.99189408
IlergetesOutlierCatalan_I12410
14.03243030
I2176_Balkans_BronzeAge
My E-V22 could be an early entry or I'm imagining it.
I added 43 more samples from Haak et al. 2015 to the main sample list.
New total of samples: 557
Target: macman
Distance: 2.7820% / 2.78198012 | ADC: 0.25x
45.8 I2165_Balkans_BronzeAge
24.0 SZ20
16.4 Bul4_Yamnaya_Bulgaria
6.8 I8205_NE_Iberia_Hel_Empuries2
6.6 I3714_Ukraine_Neolithic
0.4 I1701¬_AG83_3_Early_MPPNB
What about this I2165_Balkans_BronzeAge sample ? I put these coordinates on Dodecad k12b update it says that closest is Macedonian ?
istance to: I2165_Balkans_BronzeAge
5.56541104 Macedonian
6.87094288 Italy_FriuliVG
8.10062961 Pomak
9.14498223 Italy_Trentino
9.19683098 Albanian_North
9.27223584 Italy_Veneto
9.68632025 Romanians
9.86257066 Gagauz
10.47836819 Albanian_Kosovo
10.59325316 Swiss_Italian
10.71695386 Bosnian
10.93210273 Italy_Piedmont
10.97254301 Croat
11.01249291 Bulgarians
11.14902686 Bulgarian
11.80739203 Italy_Aosta_Valley
12.57357585 Italy_Lombardy
13.31387442 Italy_Liguria
13.71222415 Italy_Emilia
14.56869898 Italy_Tuscany
15.25376675 Italy_Romagna
16.38135526 Hungarians
16.78275406 Italy_Lazio
17.86276849 Italy_Marche
19.30657132 France_Corsica
I have now updated the sample list to include the entirety of Haak et al. 2015.
Total number of samples is now 572.
Target: Carlos
Distance: 0.1438% / 0.14375435
12.6
IlercavonesCatalan_I3321
8.6
AlemannicBavariaBIM_33
8.2
VisigothFrankishGirona_I12032
8.0
IlergetesTribeCatalan_I12878
6.4
I0807_ESP30_Baalberge_MN_Esperstedt_Germany_3887-3797_calBCE
6.4
HispanoRomanTaifaofValencia_I12647
6.0
CL92
5.8
LateRomanIberiaGranada_I3576
4.6
I0408_Mina18_Spain_MN_La_Mina_Spain_3900-3600_BCE
3.8
I0108_ROT6_Bell_Beaker_LN_Rothenschirmbach_Germany _2497-2436_calBCE
3.2
R475_Iron_Age_Civitavecchia
2.6
I8209_NE_Iberia_Greek_Empuries1
2.4
GalloRomanCeltMixIberia_I10866
2.2
CarthagoMaghrebiAndalusia_I7457
2.2
ASH2-3_Iron_Age1
2.2
I2433_Globular_Amphora
1.6
I0439_SVP52_Yamnaya_Lopatino_I_Sok_River_Samara_Ru ssia_3305-2925_calBCE
1.6
VasconicTribe_I8209
1.6
I4930_Bronze_Age_Beaker_Sicily
1.2
EarlyMedievalIberiaGranada_I3981
1.2
MedievalTaifaofValencia_I12649
0.8
I0104_ESP11_Corded_Ware_LN_Esperstedt_Germany_2473-2348_calBCE
0.8
BronzeAgeNorthernSpain_I2472
0.8
R851_Iron_Age_Ardea
0.6
I0410_Troc3_Spain_EN_Els_Trocs_Spain_5178-5066_calBCE
0.6
I0803_EUL41_Unetice_EBA_Eulau_Germany_2115-1996_calBCE
0.6
VasconesTribeVasconia_I3758
0.6
CHV002_Chalmny_Varre_18th-19th
0.4
I0370_SVP10_Yamnaya_Ishkinovka_I_Eastern_Orenburg_ Pre-Ural_steppe_Samara_3500-2700_BCE_Russia
0.4
I2110_Trypillia
0.4
I2425_Balkans_Chalcolithic
0.2
I0412_Troc5_Spain_EN_Els_Trocs_Spain_5310-5206_calBCE
0.2
I0444_SVP58_Yamnaya_Kutuluk_I_Kutuluk_River_Samara _Russia_3335-2881_calBCE
0.2
I0060_ROT3_Bell_Beaker_LN_Rothenschirmbach_Germany _2294-2206_calBCE
0.2
I0047_HAL16_Unetice_EBA_Halberstadt-Sonntagsfeld_Germany_2022-1937_calBCE
0.2
R132_Imperial_Era__Marcellino_&_Pietro
0.2
I2215_Malak_Preslavets
0.2
I1944_GD14B_Ganj_Dareh_Iran_Neolithic
0.2
I1951_GD39_Ganj_Dareh_Iran_Neolithic
Distance to:
Carlos
3.23232115
R63_Medieval_Era_Villa_Magna
3.62042815
GironaSantJuliadeRamis_I10892
4.08279316
GironaSantJuliadeRamis_I10895
4.88591854
CrusaderKnightFrenchLebanonCrusaderSI40
5.00235944
Roman-SoldierFN_2
5.54412301
R435_Iron_Age_Palestrina_Colombella
5.61196935
R1289_Medieval_Era_Cancelleria
5.67985915
I2215_Malak_Preslavets
6.03445109
GironaSantJuliadeRamis_I10852
6.56836357
I2478_Bronze_Age_Beaker_Northern_Italy
6.80016912
PortugueseCordobaCaliphate_I12516
7.20074996
R110_Late_Antiquity_Crypta_Balbi
7.25538421
VasconicTribe_I8209
7.25538421
I8209_NE_Iberia_Greek_Empuries1
7.83411769
NorthAlpineBronzeAgeFrench_AITI_43
8.00687829
CL94
8.02414481
VisigothIberianGirona_I12034
8.03897382
PortugueseCordobaCaliphate_I12514
8.17836169
R109_Late_Antiquity_Crypta_Balbi
8.31117320
NorthAlpineBronzeAgeSpanishGalicia_AITI_72
8.51501615
ElSotilloBasqueCountry_I1977
8.63172636
EarlyMedievalAndalusia_I3585
8.65401641
GironaSantJuliadeRamis_I10853
9.08631939
Bavaria_BB_II5524
9.10872658
R116_Imperial_Era_Via_Paisiello_Necropolis
Modern [Gray] and Ancient [Black] West Eurasian samples in Dodecad K12b; PCA generated in Past3 software.
(I'm the red dot)
https://i.imgur.com/ga1LoyX.png
22 copper age samples added, from Peqi’in Cave in Upper Galilee, in Harney et al. 2018.
22 copper age samples added, from Peqi’in Cave in Upper Galilee, in Harney et al. 2018.
Thanks the bulk will be ydna T
Lets see if the paper states them correctly as north eastern anatolians
Thanks the bulk will be ydna T
Lets see if the paper states them correctly as north eastern anatolians
A few of these T have snp CTS2214, as per isogg, they are 6600bc from chado-assyrian......T1a1a1b2
Also found as the same markers on the atlantic coast morocco at Kelif el Boroud neolithic sample and Galicia iberia
55 Iberian samples by Duarte, added today:
https://www.eupedia.com/forum/threads/39648-NEW!-All-Gedmatch-calculators-on-Vahaduo-ON-LINE/page31?p=597058&viewfull=1#post597058
Grand total of samples is now 649
my results with the master list
Distance to:
Torziok12b
1.89726118
R55_Medieval_Era_Villa_Magna
4.40054542
I4331_Balkans_BronzeAge
4.63928874
R105_Late_Antiquity_Crypta_Balbi
4.65249395
R474_Iron_Age_Civitavecchia
4.82277928
CL23
4.86300319
R1_Iron_Age_Protovillanovan_Martinsicuro
5.02880702
I4332_Balkans_BronzeAge
5.21492090
R33_Late_Antiquity_Mausole_di_Augusto
6.00532264
SZ28
6.60955369
CL49
6.88000000
I3499_NWBalkans_PannonianPlain_Vucedol_EN
6.93799683
CL94
7.28685117
R1221_Medieval_Era_Cancelleria
7.57478052
I3313_Balkans_BronzeAge
7.62312272
CL57
7.70831369
CL36
7.72828571
CL47
7.79092421
GironaSantJuliadeRamis_I10853
7.88022842
R61_Medieval_Era_Villa_Magna
7.89459942
Bavaria_BB_II5524
7.93197958
SZ45
8.04563857
R110_Late_Antiquity_Crypta_Balbi
8.04795626
I3866_NE_Iberia_c.6-8CE_ES
8.04854024
SZ43
8.12515231
SZ27
Target: Torziok12b
Distance: 0.7405% / 0.74050663 | ADC: 0.5x
83.8
R55_Medieval_Era_Villa_Magna
7.0
NorthAlpineBronzeAgeFrench_AITI_120
5.0
SZ27
4.2
I6491_NE_Iberia_RomP
my father results
results with the master list
Distance to:
PonzanoK12b
2.96722092
R55_Medieval_Era_Villa_Magna
4.88872171
I4331_Balkans_BronzeAge
5.02758391
R105_Late_Antiquity_Crypta_Balbi
5.03138152
R33_Late_Antiquity_Mausole_di_Augusto
5.17989382
I4332_Balkans_BronzeAge
5.65693380
R474_Iron_Age_Civitavecchia
5.67751706
CL49
5.88861614
R61_Medieval_Era_Villa_Magna
5.95225167
SZ28
6.03410308
R1_Iron_Age_Protovillanovan_Martinsicuro
6.08940063
CL47
6.10329419
CL23
6.23568761
I3866_NE_Iberia_c.6-8CE_ES
6.37341353
CL94
6.61260161
SZ45
7.01978632
R1221_Medieval_Era_Cancelleria
7.19994444
R108_Late_Antiquity_Crypta_Balbi
7.20488029
Bavaria_BB_II5524
7.21248917
CL57
7.22930840
GironaSantJuliadeRamis_I10853
7.42829052
R109_Late_Antiquity_Crypta_Balbi
7.88196676
I2165_Balkans_BronzeAge
8.10768771
CL102
8.27916059
R110_Late_Antiquity_Crypta_Balbi
8.36763407
GironaSantJuliadeRamis_I10851
my first cousin
results with the master list
Distance to:
TrentinoCles
2.53333772
R33_Late_Antiquity_Mausole_di_Augusto
2.88975778
I4332_Balkans_BronzeAge
3.48031608
I4331_Balkans_BronzeAge
3.75795157
R1_Iron_Age_Protovillanovan_Martinsicuro
3.85072720
SZ28
4.27906532
SZ43
5.06032608
I3313_Balkans_BronzeAge
5.88459005
I3499_NWBalkans_PannonianPlain_Vucedol_EN
6.05645936
CL36
6.11802256
R55_Medieval_Era_Villa_Magna
6.50109222
CL23
6.53108720
SZ31
7.26898205
ScythianSouthernMoldova_scy197
7.82710036
ScythianMoldova_SCY300
7.89238874
CL49
7.97467241
SZ36
8.36254148
Bavaria_BB_II5524
8.43631436
I2176_Balkans_BronzeAge
8.58509755
R474_Iron_Age_Civitavecchia
8.78997156
ScythianSouthernMoldova_scy192
9.10143395
R110_Late_Antiquity_Crypta_Balbi
9.24717795
I8475_NE_Iberia_RomP_atypical
9.46118914
R36_Late_Antiquity_Celio
9.51338005
R105_Late_Antiquity_Crypta_Balbi
9.55524987
SZ37
Thank you for this fantastic tool. Please help me. How can I use this (Dodecad K12b ancient) to know my results? I'm on the Gedmatch, but I'm an anti-talent with informathic.
Thank you for this fantastic tool. Please help me. How can I use this (Dodecad K12b ancient) to know my results? I'm on the Gedmatch, but I'm an anti-talent with informathic.
Maybe you can get basics from this video: https://youtu.be/OvSnoP1E0JU
He is showing on Eurogenes calculator, but the logic is the same with all other calculators.
Target: Carlos
Distance: 1.0157% / 1.01566926 | ADC: 0.25x
19.8
GironaSantJuliadeRamis_I10892
15.6
GironaSantJuliadeRamis_I10895
13.8
R63_Medieval_Era_Villa_Magna
13.4
Roman-SoldierFN_2
11.4
I8209_NE_Iberia_Greek_Empuries1
10.6
Canarias
10.2
VasconicTribe_I8209
4.6
NorthAlpineBronzeAgeFrench_AITI_120
0.4
Mozabite
0.2
VisigothFrankishGirona_I12032
Target: Carlos
Distance: 0.0698% / 0.06977126
6.8
Valencia
5.4
VisigothFrankishGirona_I12032
5.0
R851_Iron_Age_Ardea
4.2
Andalucia
3.8
IlercavonesCatalan_I3321
3.0
Canarias
3.0
CL92
2.8
IlergetesTribeCatalan_I12878
2.8
AlemannicBavariaBIM_33
2.6
I8209_NE_Iberia_Greek_Empuries1
2.6
I8212_NE_Iberia_Greek_Empuries1_atypical
2.4
VasconesTribeVasconia_I3758
2.0
BronzeAgeEngland_I2462
2.0
I2433_Globular_Amphora
1.6
Sardinian
1.6
VasconicTribe_I8209
1.6
I1295_Malak_Preslavets
1.4
CEU30
1.4
Mozabite
1.4
I8344_NE_Iberia_Greek_Empuries1
1.4
R104_Late_Antiquity_Crypta_Balbi
1.4
R18_Neolithic_Ripabianca_di_Monterado
1.2
French_Basque
1.2
PortugueseCordobaCaliphate_I12516
1.2
CL93
1.2
I2215_Malak_Preslavets
1.2
IronAgeHinxton1_Celt_ERS389795
1.0
Castilla_La_Mancha
1.0
Spaniards
1.0
CarthagoMaghrebiAndalusia_I7457
1.0
ASH2-3_Iron_Age1
1.0
I4930_Bronze_Age_Beaker_Sicily
1.0
ZHAG_Boncuklu_Aceramic
1.0
I2405_Globular_Amphora
1.0
BronzeAgeUnetice_I0047
0.8
Moroccans
0.8
SZ31
0.8
NorthAlpineBronzeAgeFrench_AITI_119
0.8
R16_Neolithic_Ripabianca_di_Monterado
0.8
I2110_Trypillia
0.6
Baleares
0.6
Cornwall
0.6
English
0.6
German
0.6
Moroccan
0.6
Norwegian
0.6
SZ3
0.6
R113_Imperial_Era_Via_Paisiello_Necropolis
0.4
Adygei
0.4
Algerian
0.4
Argyll
0.4
Extremadura
0.4
Kent
0.4
Pais_Vasco
0.4
GalloRomanCeltMixIberia_I10866
0.4
HispanoRomanTaifaofValencia_I12647
0.4
CL63
0.4
CL84
0.4
CL87
0.4
SZ2
0.4
SZ42
0.4
I3313_Balkans_BronzeAge
0.4
R475_Iron_Age_Civitavecchia
0.4
R1_Iron_Age_Protovillanovan_Martinsicuro
0.4
R19_Neolithic_Ripabianca_di_Monterado
0.4
R1014_Chalcolithic_Monte_San_Biagio
0.4
I9127_Bronze_Age_Minoan_Moni_Odigitria_Heraklion_C rete
0.4
BerryAuBac_WHG
0.4
I2425_Balkans_Chalcolithic
0.4
I2440_Globular_Amphora
0.4
I2509_Balkans_Chalcolithic
0.4
I3714_Ukraine_Neolithic
0.4
Villabruna
0.2
Belorussian
0.2
British
0.2
Castilla_Y_Leon
0.2
Ethiopian_Jews
0.2
French
0.2
Georgians
0.2
Irish
0.2
Lezgins
0.2
Mixed_Germanic
0.2
Nganassan
0.2
Orcadian
0.2
Orkney
0.2
Sandawe_He
0.2
Selkup
0.2
Sicilian
0.2
Spanish
0.2
Pre-RomanGirona_I3324
0.2
IronAgeCatalan_I12640
0.2
SZ8
0.2
NorthAlpineBronzeAgeFrench_AITI_78
0.2
R1219_Medieval_Era_Cancelleria
0.2
R31_Late_Antiquity_Mausole_di_Augusto
0.2
R71_Imperial_Era_ANAS
0.2
R125_Imperial_Era_Casale_del_Dolce
0.2
R474_Iron_Age_Civitavecchia
0.2
R1015_Iron_Age_Veio_Grotta_Gramiccia
0.2
R5_Chalcolithic_Grotta_Continenza
0.2
I0074_Bronze_Age_Minoan_Hagios_Charalambos_Cave_La sithi_Crete
0.2
Bul8_Balkans_BronzeAge
0.2
I2165_Balkans_BronzeAge
0.2
I2176_Balkans_BronzeAge
0.2
I2403_Globular_Amphora
0.2
I2534_Romania_HG
0.2
I5405_Lepenski_Vir
0.2
BOO003_Bolshoy_Ostrov_Murmansk_Russia_3473±87_cal BP
Distance to:
Carlos
3.23232115
R63_Medieval_Era_Villa_Magna
3.62042815
GironaSantJuliadeRamis_I10892
4.08279316
GironaSantJuliadeRamis_I10895
4.88591854
CrusaderKnightFrenchLebanonCrusaderSI40
5.00235944
Roman-SoldierFN_2
5.54412301
R435_Iron_Age_Palestrina_Colombella
5.61196935
R1289_Medieval_Era_Cancelleria
5.67985915
I2215_Malak_Preslavets
5.78651017
Galicia
6.03445109
GironaSantJuliadeRamis_I10852
6.55386146
Baleares
6.56836357
I2478_Bronze_Age_Beaker_Northern_Italy
6.75678178
Extremadura
6.80016912
PortugueseCordobaCaliphate_I12516
7.20074996
R110_Late_Antiquity_Crypta_Balbi
7.23678105
Portuguese
7.25538421
VasconicTribe_I8209
7.25538421
I8209_NE_Iberia_Greek_Empuries1
7.83411769
NorthAlpineBronzeAgeFrench_AITI_43
8.00687829
CL94
8.02414481
VisigothIberianGirona_I12034
8.03897382
PortugueseCordobaCaliphate_I12514
8.17836169
R109_Late_Antiquity_Crypta_Balbi
8.31117320
NorthAlpineBronzeAgeSpanishGalicia_AITI_72
8.51501615
ElSotilloBasqueCountry_I1977
8.58027389
Castilla_Y_Leon
8.63172636
EarlyMedievalAndalusia_I3585
8.65401641
GironaSantJuliadeRamis_I10853
9.08631939
Bavaria_BB_II5524
9.10872658
R116_Imperial_Era_Via_Paisiello_Necropolis
9.10993963
CuevadelaPalomaSpain_I3239
9.14494396
R474_Iron_Age_Civitavecchia
9.31870163
I1113_Malak_Preslavets
9.36307108
Cataluna
9.37802218
R1224_Medieval_Era_Cancelleria
9.39497206
R1221_Medieval_Era_Cancelleria
9.40007979
MedievalTaifaofValencia_I12649
9.42079614
GironaSantJuliadeRamis_I10851
9.67607875
VasconesTribeVasconia_I3758
9.74992820
Spaniards
9.79244607
R851_Iron_Age_Ardea
9.80358098
IlergetesTribeCatalan_I3320
9.82258113
Murcia
9.93771100
R105_Late_Antiquity_Crypta_Balbi
9.98018537
Spanish
10.05859831
BasqueCarolingian_I3777
10.10798199
NorthAlpineBronzeAgeFrench_AITI_119
10.31501333
R1015_Iron_Age_Veio_Grotta_Gramiccia
10.40655563
R37_Imperial_Era_Isola_Sacra_Necropolis
10.44744466
EarlyMedievalIberiaGranada_I3981
10.52505107
GalloRomanCeltMixIberia_I10866
10.56115997
NorthAlpineBronzeAgeFrench_AITI_120
10.71094300
R1021_Iron_Age_Boville_Ernica
10.76935931
VasconesTribeVasconia_I3759
10.88690039
R473_Iron_Age_Civitavecchia
10.89503098
R1016_Iron_Age_Castel_di_Decima
11.22128780
BronzeAgeEngland_I2462
11.26240649
I2520_Balkans_BronzeAge
11.33116940
Pre-RomanGirona_I3324
11.40614747
CeltiberianMixTribeNorthernSpain_I3238
11.54747591
LBA_ElSotillo_Alava_I2469
11.56124128
N_Italian
11.56908812
IronAgeCatalan_I12640
11.62940669
Cantabria
11.72341674
Andalucia
11.75522012
North_Italian
11.76830914
Canarias
11.78944443
SpaniardCordobaCaliphate_I12515
11.79833039
I1297_Malak_Preslavets
12.14062601
IberianCordobaCaliphate_I7498
12.23360536
Castilla_La_Mancha
12.24686899
BronzeAgeSpainCogotas_I12208
12.24686899
BronzeAgeSpainCogotas_I12208
12.35959142
IlercavonesCatalan_I3321
12.41300930
SZ28
12.42888169
Valencia
12.68043769
French
12.74111063
CL23
12.88074532
RomanEraGirona_I8339
12.88418410
I8475_NE_Iberia_RomP_atypical
12.93327878
CL47
13.00833579
I3313_Balkans_BronzeAge
13.03174585
R1220_Medieval_Era_Cancelleria
13.04423628
R55_Medieval_Era_Villa_Magna
13.04782741
French
13.06628103
I4331_Balkans_BronzeAge
13.11199832
R61_Medieval_Era_Villa_Magna
13.12306748
CL102
13.18797938
BronzeAgeNorthernSpain_I2472
13.25133578
I2181_Balkans_Chalcolithic_outlier
13.37636348
Aragon
13.39109032
R108_Late_Antiquity_Crypta_Balbi
13.42960908
HispanoRomanTaifaofValencia_I12647
13.50022222
BronzeAgeSpainCogotas_I12209
13.51744429
CarthagoMaghrebiAndalusia_I7457
13.56665397
I2111_Trypillia
13.58593390
SZ45
13.96427585
I4332_Balkans_BronzeAge
13.99189408
IlergetesOutlierCatalan_I12410
14.03243030
I2176_Balkans_BronzeAge
PCA R63_Medieval_Era_Villa_Magna
https://1.bp.blogspot.com/-5ITA-R7Edqc/XkazJFv_MgI/AAAAAAAAC0U/JodfKrjVkjo1Jh4Fm3gnf4l5DdRTDSblgCLcBGAsYHQ/s1600/PcaMedievalVillaMagnaR63.jpeg
Mine
https://1.bp.blogspot.com/-MtDqgJ0lIPI/XkazbKUpEtI/AAAAAAAAC0c/wRpdojrDMGcw_Hvi8wo55PWdo42MolrFACLcBGAsYHQ/s1600/PCAmodernM%25C3%258DAenero2019.jpeg
GironaSantJuliadeRamis_I10892
https://1.bp.blogspot.com/--gW17uqQGqM/Xka4pY3gfHI/AAAAAAAAC0o/-X5Dq0IsXOEgWuyLM2cFJOgmdEkGo2R-QCLcBGAsYHQ/s1600/PCAGironaSantjulia892.jpeg
That is when they tell you: How well you keep yourself!
Hi it's addded to Vahaduo:)
http://vahaduo.genetics.ovh/dodecad-k12b-ANCIENT-vahaduo.htm
top 8 from same family
Distance to:
BelunPk12b
2.85040348
I4331_Balkans_BronzeAge
2.89129729
R55_Medieval_Era_Villa_Magna
2.95218563
R33_Late_Antiquity_Mausole_di_Augusto
3.00813896
I4332_Balkans_BronzeAge
3.06084956
R1_Iron_Age_Protovillanovan_Martinsicuro
4.34786154
SZ28
5.05758836
CL23
5.50328993
CL49
6.21656658
R474_Iron_Age_Civitavecchia
Distance to:
TrentinoCles
2.53333772
R33_Late_Antiquity_Mausole_di_Augusto
2.88975778
I4332_Balkans_BronzeAge
3.48031608
I4331_Balkans_BronzeAge
3.75795157
R1_Iron_Age_Protovillanovan_Martinsicuro
3.85072720
SZ28
4.27906532
SZ43
5.06032608
I3313_Balkans_BronzeAge
5.88459005
I3499_NWBalkans_PannonianPlain_Vucedol_EN
Distance to:
Torziok12b
1.89726118
R55_Medieval_Era_Villa_Magna
4.40054542
I4331_Balkans_BronzeAge
4.63928874
R105_Late_Antiquity_Crypta_Balbi
4.65249395
R474_Iron_Age_Civitavecchia
4.82277928
CL23
4.86300319
R1_Iron_Age_Protovillanovan_Martinsicuro
5.02880702
I4332_Balkans_BronzeAge
5.21492090
R33_Late_Antiquity_Mausole_di_Augusto
Distance to:
PonzanoK12b
2.96722092
R55_Medieval_Era_Villa_Magna
4.88872171
I4331_Balkans_BronzeAge
5.02758391
R105_Late_Antiquity_Crypta_Balbi
5.03138152
R33_Late_Antiquity_Mausole_di_Augusto
5.17989382
I4332_Balkans_BronzeAge
5.65693380
R474_Iron_Age_Civitavecchia
5.67751706
CL49
5.88861614
R61_Medieval_Era_Villa_Magna
Dodecad K12b Ancient spreadsheet
23s v4+v5 mix
https://i.imgur.com/XqwuBvZ.jpg
Ave Cesare :grin:
https://i.imgur.com/SvMGUvH.jpg
Hi it's addded to Vahaduo:)
http://vahaduo.genetics.ovh/dodecad-k12b-ANCIENT-vahaduo.htm
Fantastic! Thank you!
Target: Carlos
Distance: 0.1376% / 0.13755323
5.2
IlercavonesCatalan_I3321
4.6
I12650_SE_Iberia_c.10-16CE
4.4
VisigothFrankishGirona_I12032
4.0
Collegno92
3.8
I0408_Mina18_Spain_MN_La_Mina_Spain_3900-3600_BCE
3.6
IlergetesTribeCatalan_I12878
3.6
R851_Iron_Age_Ardea
3.4
I3574_SE_Iberia_c.5-8CE
3.2
I8146_SE_Iberia_c.10-16CE
3.2
I0807_ESP30_Baalberge_MN_Esperstedt_Germany_3887-3797_calBCE
3.0
AlemannicBavariaBIM_33
2.8
I12164_NE_Iberia_c.6CE_PL
2.4
I7158_NE_Iberia_RomP
2.2
I3575_SE_Iberia_c.5-8CE
2.2
HispanoRomanTaifaofValencia_I12647
2.0
I3577_SE_Iberia_c.5-8CE
2.0
I7423_SE_Iberia_c.10-16CE
2.0
I8209_NE_Iberia_Greek_Empuries1
1.8
I6491_NE_Iberia_RomP
1.8
I0111_ROT4_Bell_Beaker_LN_Rothenschirmbach_Germany _2497-2436_calBCE
1.8
I2433_Globular_Amphora
1.6
I0108_ROT6_Bell_Beaker_LN_Rothenschirmbach_Germany _2497-2436_calBCE
1.6
VasconesTribeVasconia_I3758
1.6
I4930_Bronze_Age_Beaker_Sicily
1.6
BronzeAgeUnetice_I0047
1.4
Collegno93
1.4
R475_Iron_Age_Civitavecchia
1.4
I2425_Balkans_Chalcolithic
1.2
MedievalTaifaofValencia_I12649
1.2
I2215_Malak_Preslavets
1.0
I0047_HAL16_Unetice_EBA_Halberstadt-Sonntagsfeld_Germany_2022-1937_calBCE
1.0
R1_Iron_Age_Protovillanovan_Martinsicuro
1.0
R18_Neolithic_Ripabianca_di_Monterado
1.0
ASH2-3_Iron_Age1
1.0
I2403_Globular_Amphora
0.8
I3980_SE_Iberia_c.5-8CE
0.8
I0803_EUL41_Unetice_EBA_Eulau_Germany_2115-1996_calBCE
0.8
I0099_HAL36C_Halberstadt_LBA_Halberstadt-Sonntagsfeld_Germany_1113-1021_calBCE
0.8
I0114_ESP2_Unetice_EBA_relative_of_I0117_Espersted t_Germany_2131-1979_calBCE
0.8
I2110_Trypillia
0.8
CHV002_Chalmny_Varre_18th-19th
0.6
I0439_SVP52_Yamnaya_Lopatino_I_Sok_River_Samara_Ru ssia_3305-2925_calBCE
0.6
I0112_QUEXII6_Bell_Beaker_LN_Quedlinburg_XII_Germa ny_2340-2190_calBCE
0.6
LateRomanIberiaGranada_I3576
0.6
VasconicTribe_I8209
0.6
GalloRomanCeltMixIberia_I10866
0.6
Szolad23
0.6
R15_Mesolithic_Grotta_Continenza
0.4
I0011_Molta1_Motala_HG_Molata_Sweden_5898-5531_calBCE
0.4
I0410_Troc3_Spain_EN_Els_Trocs_Spain_5178-5066_calBCE
0.4
I0412_Troc5_Spain_EN_Els_Trocs_Spain_5310-5206_calBCE
0.4
I0172_ESP24_Esperstedt_MN_Esperstedt_Germany_3360-3086_calBCE
0.4
I0370_SVP10_Yamnaya_Ishkinovka_I_Eastern_Orenburg_ Pre-Ural_steppe_Samara_3500-2700_BCE_Russia
0.4
I0444_SVP58_Yamnaya_Kutuluk_I_Kutuluk_River_Samara _Russia_3335-2881_calBCE
0.4
I0164_QUEVIII6_Unetice_EBA_Quedlinburg_VIII_German y_2012-1919_calBCE
0.4
CarthagoMaghrebiAndalusia_I7457
0.4
HispanoRomanTaifaofValencia_I12644
0.4
Szolad16
0.4
BronzeAgeEngland_I2462
0.4
R104_Late_Antiquity_Crypta_Balbi
0.4
R113_Imperial_Era_Via_Paisiello_Necropolis
0.4
R1015_Iron_Age_Veio_Grotta_Gramiccia
0.4
I4175_Vucedol
0.4
IronAgeHinxton1_Celt_ERS389795
0.2
I7458_SE_Iberia_c.10-16CE
0.2
I12645_SE_Iberia_c.10-16CE
0.2
I0059_BZH6_BenzigerodeHeimburg_LN_Benzingerode-Heimburg_Germany_2286-2153_calBCE
0.2
I0411_Troc4_Spain_EN_relative_of_I0410_Els_Trocs_S pain_5303-5204_calBCE
0.2
Collegno23
0.2
Collegno84
0.2
Collegno110
0.2
Szolad2
0.2
Szolad37
0.2
I8212_NE_Iberia_Greek_Empuries1_atypical
0.2
R37_Imperial_Era_Isola_Sacra_Necropolis
0.2
I9129_Bronze_Age_Minoan_Moni_Odigitria_Heraklion_C rete
0.2
BerryAuBac_WHG
0.2
I1295_Malak_Preslavets
0.2
I1917_Yamnaya_Ukraine_outlier
0.2
I4331_Balkans_BronzeAge
0.2
I5402_Iron_Gates_HG
0.2
BOO003_Bolshoy_Ostrov_Murmansk_Russia_3473±87_cal BP
Distance to:
Carlos
3.23232115
R63_Medieval_Era_Villa_Magna
3.62042815
GironaSantJuliadeRamis_I10892
4.08279316
GironaSantJuliadeRamis_I10895
4.54604223
I7675_NE_Iberia_c.6-8CE_ES
4.88591854
CrusaderKnightFrenchLebanonCrusaderSI40
5.00235944
Roman-SoldierFN_2
5.54412301
R435_Iron_Age_Palestrina_Colombella
5.61196935
R1289_Medieval_Era_Cancelleria
5.67985915
I2215_Malak_Preslavets
6.03445109
GironaSantJuliadeRamis_I10852
6.36550077
I7673_NE_Iberia_c.6-8CE_ES
6.56836357
I2478_Bronze_Age_Beaker_Northern_Italy
6.80016912
I12516_SE_Iberia_c.10-16CE
7.20074996
R110_Late_Antiquity_Crypta_Balbi
7.25538421
VasconicTribe_I8209
7.25538421
I8209_NE_Iberia_Greek_Empuries1
7.83411769
NorthAlpineBronzeAgeFrench_AITI_43
8.00687829
Collegno94
8.02414481
VisigothIberianGirona_I12034
8.03897382
I12514_SE_Iberia_c.10-16CE
8.09474521
I10897_NE_Iberia_c.8-12CE
8.17836169
R109_Late_Antiquity_Crypta_Balbi
8.31117320
NorthAlpineBronzeAgeSpanishGalicia_AITI_72
8.51501615
ElSotilloBasqueCountry_I1977
8.63172636
EarlyMedievalAndalusia_I3585
8.65401641
GironaSantJuliadeRamis_I10853
9.08631939
Bavaria_BB_II5524
9.10872658
R116_Imperial_Era_Via_Paisiello_Necropolis
9.10993963
CuevadelaPalomaSpain_I3239
9.14494396
R474_Iron_Age_Civitavecchia
9.31870163
I1113_Malak_Preslavets
9.37802218
R1224_Medieval_Era_Cancelleria
9.38433802
I3775_NE_Iberia_c.6-8CE_ES
9.39497206
R1221_Medieval_Era_Cancelleria
9.40007979
MedievalTaifaofValencia_I12649
9.42079614
GironaSantJuliadeRamis_I10851
9.67607875
VasconesTribeVasconia_I3758
9.79244607
R851_Iron_Age_Ardea
9.80358098
IlergetesTribeCatalan_I3320
9.93771100
R105_Late_Antiquity_Crypta_Balbi
10.05859831
BasqueCarolingian_I3777
10.10798199
NorthAlpineBronzeAgeFrench_AITI_119
10.14166653
I7676_NE_Iberia_c.6-8CE_ES
10.17365716
I3584_SE_Iberia_c.5-8CE
10.25304345
I6490_NE_Iberia_RomP
10.31501333
R1015_Iron_Age_Veio_Grotta_Gramiccia
10.33415212
I12033_NE_Iberia_c.6CE_PL
10.40655563
R37_Imperial_Era_Isola_Sacra_Necropolis
10.44744466
EarlyMedievalIberiaGranada_I3981
10.52505107
GalloRomanCeltMixIberia_I10866
10.56115997
NorthAlpineBronzeAgeFrench_AITI_120
10.68906451
I3778_NE_Iberia_c.6-8CE_ES
10.71094300
R1021_Iron_Age_Boville_Ernica
10.76935931
VasconesTribeVasconia_I3759
10.82268451
I8343_NE_Iberia_Late_RomP
10.88690039
R473_Iron_Age_Civitavecchia
10.89503098
R1016_Iron_Age_Castel_di_Decima
10.99237918
I12164_NE_Iberia_c.6CE_PL
11.13917861
I3982_SE_Iberia_c.3-4CE
11.15615525
I3577_SE_Iberia_c.5-8CE
11.22128780
BronzeAgeEngland_I2462
11.26240649
I2520_Balkans_BronzeAge
11.33116940
Pre-RomanGirona_I3324
11.40614747
CeltiberianMixTribeNorthernSpain_I3238
11.54747591
LBA_ElSotillo_Alava_I2469
11.56908812
IronAgeCatalan_I12640
11.78944443
I12515_SE_Iberia_c.10-16CE
11.78944443
SpaniardCordobaCaliphate_I12515
11.79833039
I1297_Malak_Preslavets
11.91919880
I12029_NE_Iberia_c.6CE_PL
12.14062601
IberianCordobaCaliphate_I7498
12.24686899
BronzeAgeSpainCogotas_I12208
12.24686899
BronzeAgeSpainCogotas_I12208
12.35959142
IlercavonesCatalan_I3321
12.41300930
Szolad28
12.47799263
I3866_NE_Iberia_c.6-8CE_ES
12.64660429
I3574_SE_Iberia_c.5-8CE
12.74111063
Collegno23
12.77554304
I3776_NE_Iberia_c.6-8CE_ES
12.87735998
I3809_SE_Iberia_c.10-16CE
12.88074532
RomanEraGirona_I8339
12.88418410
I8475_NE_Iberia_RomP_atypical
12.93327878
Collegno47
13.00833579
I3313_Balkans_BronzeAge
13.03174585
R1220_Medieval_Era_Cancelleria
13.04423628
R55_Medieval_Era_Villa_Magna
13.06628103
I4331_Balkans_BronzeAge
13.11199832
R61_Medieval_Era_Villa_Magna
13.12306748
Collegno102
13.18797938
BronzeAgeNorthernSpain_I2472
13.24548225
I3579_SE_Iberia_c.5-8CE
13.25133578
I2181_Balkans_Chalcolithic_outlier
13.39109032
R108_Late_Antiquity_Crypta_Balbi
13.42960908
HispanoRomanTaifaofValencia_I12647
13.50022222
BronzeAgeSpainCogotas_I12209
13.51744429
CarthagoMaghrebiAndalusia_I7457
13.56665397
I2111_Trypillia
13.58593390
Szolad45
13.96427585
I4332_Balkans_BronzeAge
13.99189408
IlergetesOutlierCatalan_I12410
14.03243030
I2176_Balkans_BronzeAge
14.26568260
R33_Late_Antiquity_Mausole_di_Augusto
14.33275619
I8210_NE_Iberia_Greek_Empuries1
14.46739783
BronzeAgeNorthernSpain_VAD001
14.52471342
CrusaderKnightTuscanLebanonCrusaderSI41
14.62248611
NorthAlpineBronzeAgeFrench_AITI_78
14.64813640
Collegno49
14.66942057
VisigothFrankishGirona_I12032
14.67915188
I8202_NE_Iberia_RomP_Empuries1
14.72136543
I3151_Trypillia
14.90877929
Collegno57
15.21938238
I0113_QUEXII4_Bell_Beaker_LN_Quedlinburg_XII_Germa ny_2290-2130_calBCE
15.39251441
HispanoRomanTaifaofValencia_I12644
15.40593717
R1_Iron_Age_Protovillanovan_Martinsicuro
15.46389666
I3582_SE_Iberia_c.5-8CE
15.54997428
Szolad3
15.58974984
LateRomanIberiaGranada_I3581
15.67287147
IberiaBronzeAge_ATP9
15.70840221
BellBeakerSouthernFrance_I3874
15.89462488
I3807_SE_Iberia_c.10-16CE
15.89631089
Szolad18
15.93938205
I3499_NWBalkans_PannonianPlain_Vucedol_EN
15.94191017
R62_Medieval_Era_Villa_Magna
15.96327034
IlergetesTribeCatalan_I12878
15.97273928
IberianSettlementCataloniaSpain_I3496
15.97944930
I3575_SE_Iberia_c.5-8CE
16.18638008
Szolad6
16.26949292
I3583_SE_Iberia_c.5-8CE
16.33173598
I8344_NE_Iberia_Greek_Empuries1
16.39030811
I1979_Bronze_Age_Beaker_Northern_Italy
16.42185434
I8145_SE_Iberia_c.10-16CE
16.52502042
Collegno63
16.64529964
LateRomanIberiaGranada_I3576
16.68350083
CuevadelaPalomaSpain_I3243
16.73865287
I8211_NE_Iberia_Greek_Empuries1
16.77781869
I12648_SE_Iberia_c.10-16CE
16.82859768
I7423_SE_Iberia_c.10-16CE
16.89354610
I2110_Trypillia
16.89776908
I12030_NE_Iberia_c.6CE_PL
17.00823036
I1926_Trypillia
17.01190466
I3578_SE_Iberia_c.5-8CE
17.10485019
Szolad43
17.12127040
MoriscoConvertAndalusia_I7425
17.18206914
Szolad8
17.20093893
Collegno53
17.24743169
I2440_Globular_Amphora
17.33381089
I0108_ROT6_Bell_Beaker_LN_Rothenschirmbach_Germany _2497-2436_calBCE
17.36703774
I2175_Balkans_BronzeAge
17.39066704
I8341_NE_Iberia_Greek_Empuries1
17.45609922
R1288_Medieval_Era_Cancelleria
17.47613230
Collegno36
17.57584706
VisigothGermanicGirona_I12163
17.72420379
NorthAlpineSouthDutch_AITI_2
17.73194857
Szolad27
17.73895431
BellBeakerFranceI1388
17.77518776
I12645_SE_Iberia_c.10-16CE
17.80648477
I12650_SE_Iberia_c.10-16CE
17.91037130
I9123_Bronze_Age_Armenoi_Crete
17.91124786
I8206_NE_Iberia_Hel_Empuries1
17.95653363
Bul6_Balkans_BronzeAge
18.07776535
Szolad5
18.10494960
Bul8_Balkans_BronzeAge
18.17958195
I12031_NE_Iberia_c.6CE_PL
18.28493642
I2165_Balkans_BronzeAge
18.48926986
I3983_SE_Iberia_c.3-4CE
18.51607950
I7424_SE_Iberia_c.10-16CE
18.60428177
I2403_Globular_Amphora
18.63311836
R106_Late_Antiquity_Crypta_Balbi
18.70617812
I6491_NE_Iberia_RomP
18.86419890
I12162_NE_Iberia_c.6CE_PL
18.91308806
I6492_NE_Iberia_RomP
18.94500726
CrusaderKnightCelto-GermanicLebanonCrusaderSI39
19.08495481
R1219_Medieval_Era_Cancelleria
19.21458821
Collegno87
19.26820438
CrusaderKnightCelto-GermanicLebanonCrusaderSI47
19.42393626
I2433_Globular_Amphora
19.47952258
RomanVillaGranadaSpain_I4055
19.52627717
Szolad23
19.54739113
HispanoRomanMaghrebiCordobaCaliphate_I7497
19.57238871
I8146_SE_Iberia_c.10-16CE
19.61275350
Bul10_Balkans_BronzeAge
19.66034079
I0111_ROT4_Bell_Beaker_LN_Rothenschirmbach_Germany _2497-2436_calBCE
19.73857644
I7672_NE_Iberia_c.6-8CE_ES
19.89751492
IberianElArgarBronzeAge_I8136
19.94963158
Szolad31
20.03394869
BAIberiaValdescusaLaRioja_VAD002
20.17310090
I0118_ALB3_Alberstedt_LN_Alberstedt_Germany_2459-2345_calBCE
20.19358314
R36_Late_Antiquity_Celio
20.20259637
I2441_Globular_Amphora
20.28143240
Szolad14
20.35809421
ScythianMoldova_SCY300
20.48050536
Scythian_SCY311
20.49376978
Szolad1
20.54072784
Szolad36
20.55279300
I7674_NE_Iberia_c.6-8CE_ES
20.58123174
Collegno97
20.62937469
Szolad38
20.66100917
R1287_Medieval_Era_Cancelleria
20.74512232
ScythianSouthernMoldova_scy192
20.76675468
R111_Imperial_Era_Via_Paisiello_Necropolis
20.85214617
ScythianSouthernMoldova_scy197
21.00187135
R1285_Medieval_Era_Cancelleria
21.04893109
I0706_Balkans_Neolithic
21.42752669
I4054_SE_Iberia_c.3-4CE
21.62196337
I1295_Malak_Preslavets
21.87862199
R31_Late_Antiquity_Mausole_di_Augusto
21.89840862
R120_Late_Antiquity_S_Ercolano_Necropolis_Ostia
22.09407839
AlemannicBavariaBIM_33
22.16003836
I3980_SE_Iberia_c.5-8CE
22.16608445
R475_Iron_Age_Civitavecchia
22.36439358
I0559_QLB15D_Baalberge_MN_Quedlinburg_IX_Germany_3 645-3537_calBCE
22.50190881
Szolad37
22.54530772
I2434_Globular_Amphora
22.57413121
R1283_Medieval_Era_Cancelleria
22.67792980
R1286_Medieval_Era_Cancelleria
22.77621127
Collegno83
22.81734428
NeolithicScotland_I2634
22.86704397
Szolad30
23.07180530
I8212_NE_Iberia_Greek_Empuries1_atypical
23.17789464
I1296_Malak_Preslavets
23.19630358
Szolad42
23.31451694
Szolad24
23.34785001
NorthAlpineSouthDutch_AITI_50
23.44071885
I4088_Balkans_Chalcolithic
23.45869348
Szolad12
23.50947894
R118_Late_Antiquity_S_Ercolano_Necropolis_Ostia
23.67115756
I0112_QUEXII6_Bell_Beaker_LN_Quedlinburg_XII_Germa ny_2340-2190_calBCE
23.72767372
Szolad15
23.90560813
I0117_ESP29_Unetice_EBA_Esperstedt_Germany_2199-2064_calBCE
23.92168681
Collegno84
23.93711762
BronzeAgeOuterHebrides_I2655
24.00634083
IronAgeHinxton1_Celt_ERS389795
24.01450187
ANI160_Varna_Outlier
24.16150244
R1549_Imperial_Era_Monterotondo
24.17914184
ANI163_Varna_Outlier
24.22753599
Szolad11
24.26034419
I7458_SE_Iberia_c.10-16CE
24.26838272
I0806_QLB28_Bell_Beaker_LN_Quedlinburg_VII_Germany _2296-2206_calBCE
24.48744576
I2425_Balkans_Chalcolithic
24.50675621
I0114_ESP2_Unetice_EBA_relative_of_I0117_Espersted t_Germany_2131-1979_calBCE
24.68188404
Szolad7
24.77915455
I0172_ESP24_Esperstedt_MN_Esperstedt_Germany_3360-3086_calBCE
24.78805761
I0058_BZH4_BenzigerodeHeimburg_LN_Benzingerode-Heimburg_Germany_2283-2146_calBCE
24.90842227
ANI159_ANI181_Varna
24.92519408
I2431_Balkans_Chalcolithic
24.96660369
R970_Medieval_Era_Tivoli_Palazzo_Cianti
25.06455066
I0560_QLB18A_Baalberge_MN_Quedlinburg_IX_Germany_3 640-3510_calBCE
25.06704011
I1416_AG83/1_Early_MPPNB_Ain_Ghazal_Jordan
25.13866544
Collegno92
25.20529508
ScythianSouthernMoldova_scy305
25.23824281
TartessianArchaicAndalusia_I12561
25.26275321
I7500_SE_Iberia_c.10-16CE
25.54516197
ANI153_Varna
25.62514780
R121_Late_Antiquity_S_Ercolano_Necropolis_Ostia
25.68987155
R835_Imperial_Era_Civitanova_Marche
25.70815824
I4089_Balkans_Chalcolithic
25.74406922
I0047_HAL16_Unetice_EBA_Halberstadt-Sonntagsfeld_Germany_2022-1937_calBCE
25.80299789
Collegno121
25.84386001
R113_Imperial_Era_Via_Paisiello_Necropolis
25.88785816
Szolad25
25.92474494
R969_Medieval_Era_Tivoli_Palazzo_Cianti
25.95602050
I2477_Bronze_Age_Beaker_Northern_Italy
26.27925608
I2430_Balkans_Chalcolithic
26.35239648
Szolad22
26.53775612
R104_Late_Antiquity_Crypta_Balbi
26.75898167
R60_Medieval_Era_Villa_Magna
26.85847538
I0406_Mina4_Spain_MN_La_Mina_Spain_3900-3600_BCE
26.87066430
BronzeAgeUnetice_I0047
26.90066356
R52_Medieval_Era_Villa_Magna
26.96488272
IronAgeHinxton5_Anglo-Saxon_ERS389799
27.05444880
Collegno93
27.10280059
I1109_Malak_Preslavets
27.11295262
Szolad13
27.27200396
I3808_SE_Iberia_c.10-16CE
27.33579704
Collegno145
27.39127781
I2426_Balkans_Chalcolithic
27.47026392
I0099_HAL36C_Halberstadt_LBA_Halberstadt-Sonntagsfeld_Germany_1113-1021_calBCE
27.50182539
Szolad19
27.52431471
I9033_Bronze_Age_Mycenaean_Peristeria_Tryfilia_Pel oponnese
27.85438027
Szolad4
27.87838410
Collegno146
27.88348974
R6_Neolithic_Grotta_Continenza
28.01686456
I2424_Balkans_Chalcolithic
28.06032252
R107_Late_Antiquity_Crypta_Balbi
28.11017609
I0059_BZH6_BenzigerodeHeimburg_LN_Benzingerode-Heimburg_Germany_2286-2153_calBCE
28.20422841
R836_Imperial_Era_Civitanova_Marche
28.25627895
I2405_Globular_Amphora
28.25824128
R1290_Medieval_Era_Villa_Magna
28.39611769
I0803_EUL41_Unetice_EBA_Eulau_Germany_2115-1996_calBCE
28.39663536
Szolad40
28.44515952
I0408_Mina18_Spain_MN_La_Mina_Spain_3900-3600_BCE
28.53235357
CrusaderKnightApuliaAbruzzoLebanonCrusaderSI53
28.68034693
Bul4_Yamnaya_Bulgaria
28.92191557
Szolad20
28.95299466
Collegno151
28.95409643
R437_Iron_Age_Palestrina_Selicata
28.98855809
I2423_Balkans_Chalcolithic
28.99972414
R131_Imperial_Era_Via_Paisiello_Necropolis
29.05687698
R122_Late_Antiquity_S_Ercolano_Necropolis_Ostia
29.27012812
R47_Imperial_Era_Centocelle_Necropolis
https://i.imgur.com/y9IhuRW.png
A super-minimized view of the Dodecad K12b Ancient Vahaduo PCA; it sort of looks like a heart.
Happy Valentine's Day, Eupedia! :grin:
Thanks Lukas.
Happy Valentine's day, Jovialis.
Very nice posts, folks.
I have an Iberian/North African Moor at distances of 1.4506% and 2.7398%, in the mixed mode. I think this cool.
Carlos, I know that you don't like so much to talk about the Moors and about that they did in the Middle Ages in the Iberia Peninsula. But this is only part of my ancestry and not reach you, as we can see in your results in the mixed mode. After all, I am also a "Al-Andalus like", as I previosly knowed in my MTA results ;)
https://i.imgur.com/95tIqWr.png
https://i.imgur.com/EA9efyH.png
https://i.imgur.com/UwVlL3u.png
Thanks Lukas.
Happy Valentine's day, Jovialis.
Very nice posts, folks.
I have an Iberian/North African Moor at distances of 1.4506% and 2.7398%, in the mixed mode. I think this cool.
Carlos, I know that you don't like so much to talk about the Moors and about that they did in the Middle Ages in the Iberia Peninsula. But this is only part of my ancestry and not reach you, as we can see in your results in the mixed mode. After all, I am also a "Al-Andalus like", as I previosly knowed in my MTA results ;)
https://i.imgur.com/95tIqWr.png
https://i.imgur.com/EA9efyH.png
https://i.imgur.com/UwVlL3u.png
Al-Andalus, yes I can talk about any subject but let's see, Al-Andalus takes me directly to the mental link: Reconquest.
Thank you mha for your kindness and help. The results are surprisingly for me:
It means thracian and celtic/germanic ancetors?
9.84757331
ANI163_Varna_Outlier
10.13707552
AlemannicBavariaBIM_33
10.18311838
I0115_ESP3_Unetice_EBA_Esperstedt_Germany_1931-1780_calBCE
11.69578129
I0803_EUL41_Unetice_EBA_Eulau_Germany_2115-1996_calBCE
12.05448049
R1219_Medieval_Era_Cancelleria
12.08667448
Collegno97
12.23043744
Szolad25
12.62509406
I12162_NE_Iberia_c.6CE_PL
12.76594689
Szolad5
12.82256995
Szolad24
13.06613562
Szolad42
13.36893788
Szolad12
13.66764062
I0111_ROT4_Bell_Beaker_LN_Rothenschirmbach_Germany _2497-2436_calBCE
13.70635254
Szolad11
14.09527580
I12031_NE_Iberia_c.6CE_PL
14.20240825
Szolad13
14.24609069
CrusaderKnightCelto-GermanicLebanonCrusaderSI39
14.31514233
I0117_ESP29_Unetice_EBA_Esperstedt_Germany_2199-2064_calBCE
14.61759898
VisigothGermanicGirona_I12163
14.61941517
Szolad30
14.68592183
I0047_HAL16_Unetice_EBA_Halberstadt-Sonntagsfeld_Germany_2022-1937_calBCE
14.87706624
Szolad6
15.02410397
Collegno63
15.04732867
Szolad8
15.10330758
R1286_Medieval_Era_Cancelleria
Kuzmosi, you are not getting really close ancestors with this source and calculator, I presume Dodecad-K12b. You can try others, maybe Eurogenes K13.
Varna_outlier is high in steppe ancestry but low in Balkan heritage (that is why it is marked as an outlier). It's a very old specimen, practically the first signal of steppe ancestry in the Balkan. I myself have it also as the closest distance (0,4), which is strange given its timespan. You really have to try other calculators and sources, but it's possible, that you will not find perfect fit for your case.
Distance to:
ANI163_Varna_Outlier
7.42682974
German
7.95875618
Hungarians
8.29131473
Croat
9.45407320
Bosnian
12.22504806
Mixed_Germanic
13.64469860
Dutch
16.32837408
CEU30
16.46926531
Kent
16.57811208
English
17.47486195
Macedonian
17.59887212
French
17.81392152
British_Isles
18.12807767
French
18.27571613
Swedish
18.28534386
Pomak
18.53790172
Argyll
18.62707170
Norwegian
19.10125127
Cornwall
19.12490000
Orkney
19.17991972
Italy_Aosta_Valley
19.24499415
British
19.35336911
Italy_FriuliVG
19.38849659
Romanians
19.48563060
Orcadian
19.53901226
Irish
Components %
Gedrosia 8.64%
Siberian 0.00%
Northwest_African 2.63%
Southeast_Asian 0.00%
Atlantic_Med 29.14%
North_European 44.77%
South_Asian 0.62%
East_African 0.00%
Southwest_Asian 0.66%
East_Asian 0.00%
Caucasus 13.52%
Sub_Saharan 0.02%
https://i.imgur.com/tM2Tq62.png
my father results
results with the master list
Distance to:
PonzanoK12b
2.96722092
R55_Medieval_Era_Villa_Magna
4.88872171
I4331_Balkans_BronzeAge
5.02758391
R105_Late_Antiquity_Crypta_Balbi
5.03138152
R33_Late_Antiquity_Mausole_di_Augusto
5.17989382
I4332_Balkans_BronzeAge
5.65693380
R474_Iron_Age_Civitavecchia
5.67751706
CL49
5.88861614
R61_Medieval_Era_Villa_Magna
5.95225167
SZ28
6.03410308
R1_Iron_Age_Protovillanovan_Martinsicuro
6.08940063
CL47
6.10329419
CL23
6.23568761
I3866_NE_Iberia_c.6-8CE_ES
6.37341353
CL94
6.61260161
SZ45
7.01978632
R1221_Medieval_Era_Cancelleria
7.19994444
R108_Late_Antiquity_Crypta_Balbi
7.20488029
Bavaria_BB_II5524
7.21248917
CL57
7.22930840
GironaSantJuliadeRamis_I10853
7.42829052
R109_Late_Antiquity_Crypta_Balbi
7.88196676
I2165_Balkans_BronzeAge
8.10768771
CL102
8.27916059
R110_Late_Antiquity_Crypta_Balbi
8.36763407
GironaSantJuliadeRamis_I10851
my first cousin
results with the master list
Distance to:
TrentinoCles
2.53333772
R33_Late_Antiquity_Mausole_di_Augusto
2.88975778
I4332_Balkans_BronzeAge
3.48031608
I4331_Balkans_BronzeAge
3.75795157
R1_Iron_Age_Protovillanovan_Martinsicuro
3.85072720
SZ28
4.27906532
SZ43
5.06032608
I3313_Balkans_BronzeAge
5.88459005
I3499_NWBalkans_PannonianPlain_Vucedol_EN
6.05645936
CL36
6.11802256
R55_Medieval_Era_Villa_Magna
6.50109222
CL23
6.53108720
SZ31
7.26898205
ScythianSouthernMoldova_scy197
7.82710036
ScythianMoldova_SCY300
7.89238874
CL49
7.97467241
SZ36
8.36254148
Bavaria_BB_II5524
8.43631436
I2176_Balkans_BronzeAge
8.58509755
R474_Iron_Age_Civitavecchia
8.78997156
ScythianSouthernMoldova_scy192
9.10143395
R110_Late_Antiquity_Crypta_Balbi
9.24717795
I8475_NE_Iberia_RomP_atypical
9.46118914
R36_Late_Antiquity_Celio
9.51338005
R105_Late_Antiquity_Crypta_Balbi
9.55524987
SZ37
TrentinoCles grandmother picture below
The woman in the photo is 31 yo .....with one of her 4 daughters
Photo taken at start of world war one
https://i.postimg.cc/Dz5qxZMp/rosa-with-2nd-Daughter.png (https://postimages.org/)
Varna ANI163 is cca. 4.5k BC old and match so closely to modern Central Europeans (and others also). It's fascinating but inevitable a coincidence. Giving more options, my Central Europen dna is enriched with mixed additions, like Goths, Getae, Scyths. Varna outlier is, on the other hand, closer to more ancient populations, maybe we can say more "basic" components. It is still amazing.
11809 11810
11808
Palermo Trapani
16-02-20, 02:12
Carlos: If you are genetically linked to the likes of Saint Theresa of Avila, from my perspective, and not going to turn this into Theology discussion in this forum, not a bad thing. She was the founder of the Carmelites and "First Women to be named a Doctor of the Catholic Church." (not that there were some that should have been or could have been named earlier). Thus, her Theology and Spiritual writings is recognized alongside Saint Augustine, Saint Ambrose of Milan, Saint Jerome, Saint Thomas Aquinas, Saint Hillary of Potiers, etc, etc. I have always been a fan of El Cid as well.
Carlos: If you are genetically linked to the likes of Saint Theresa of Avila, from my perspective, and not going to turn this into Theology discussion in this forum, not a bad thing. She was the founder of the Carmelites and "First Women to be named a Doctor of the Catholic Church." (not that there were some that should have been or could have been named earlier). Thus, her Theology and Spiritual writings is recognized alongside Saint Augustine, Saint Ambrose of Milan, Saint Jerome, Saint Thomas Aquinas, Saint Hillary of Potiers, etc, etc. I have always been a fan of El Cid as well.
When I talked about all those historical figures of my country it is without genetic connotations since all this of genetics is too modern in comparison, maybe future generations associate it, generations later I think we still unlink the issues.
I was very attracted to San Francisco de Asis and Santa Clara de Asís as well.
I discovered Teresa de Lissieux by chance one day when entering a church in Barcelona there were her prints and she said yes I took one and kept it for years in a folder or I remembered, it has helped me quite a few years ago (private) and now the I have in my headboard, it is infallible against the demons they threw their image with rage, even in my presence at night, it appeared anywhere in the room, I had to strengthen the frame.
With Santa Teresa de Calcutta I can not, that woman I do not understand how they have made her holy, how I enter a church and she is out to herpes, I do not want to know anything about her, I have not said anything, I withdraw it.
Palermo Trapani
16-02-20, 18:51
Carlos: I understand. Thanks for the clarification. I thought maybe you had done some genealogy research that indicated you had matches with Saint Therese. For me, I was always attracted to Saint Dominic of Osma as my elementary education to the 8th grade was taught by the Dominican Order.
carlos: I understand. Thanks for the clarification. I thought maybe you had done some genealogy research that indicated you had matches with saint therese. For me, i was always attracted to saint dominic of osma as my elementary education to the 8th grade was taught by the dominican order.
ok................................................ .
Palermo Trapani
16-02-20, 19:50
Carlos: Bravo! That is really neat. When was he declared Venerable?
carlos: Bravo! That is really neat. When was he declared venerable?
ok................................................ .......
Palermo Trapani
17-02-20, 00:22
Ok, thanks, since I don't want to turn this into a Theological thread, let me know via private message when and if Rome moves his case forward or I guess you could post it in the Religion/Philosophy forum.
Cheers.
Deep research
Unlike K13 I don't get the 0.50 in SSA considering that I am E-V22 and downstream is L4114 thousands and thousands of years ago a 0.50 miracle is already a miracle in K13. The 5 with North Africa more or less coincides with FTDNA; although it gives it to me through the Middle East that 4% that the same according to company put me in North Africa, in Arabia or even in the British Isles, maybe it is a trace of my E-V22 early entry into Europe and in its migration it is versatile to place it here or there . Now Galicia comes out first, I have no news unless it is an origin in the repopulation of Andalusia, since in Andalusia we have a colloquial saying that my mother told me a lot when it comes to eating etc: You are more hungry than those who have come from Galicia. From Portugal I was the mother of my maternal great-grandfather. France appears twice, I have the oral tradition by YDNA of the supposed defending legionary of Napoleon's troops in his failed attempt to invade Spain from the rest. I have no news. The Canary Islands did not usually obtain it, but the Canary Islands are a great mix of many European countries. The rest of the Spanish regions always form a fairly homogeneous and close group in the PCA, except the Basques; although few Basques publish here or other sites and in the Vasconia Basque kit they get Carthaginian like other Iberians, anyway.
Hungary, except for this
141. Scythian Outlier Hungary (550 BC) ..... 18.52 - DA195
155. Hungary Elite Avar Kiskoros-Vaghohid (690 AD) ..... 18.96 - KVper3450_GE
# Population Percent
1 Atlantic_Med 44.80
2 North_European 26.52
3 Caucasus 13.46
4 Northwest_African 5.10
5 Gedrosia 4.91
6 Southwest_Asian 3.16
Using 1 population approximation:
1 Galicia_1000Genomes @ 5.776718
2 Baleares_1000Genomes @ 6.546413
3 Extremadura_1000Genomes @ 6.741121
4 Portuguese_Dodecad @ 7.223535
5 Castilla_Y_Leon_1000Genomes @ 8.572448
6 Cataluna_1000Genomes @ 9.352026
7 Spaniards_Behar @ 9.742304
8 Murcia_1000Genomes @ 9.813342
9 Spanish_Dodecad @ 9.972527
10 N_Italian_Dodecad @ 11.563505
11 Cantabria_1000Genomes @ 11.616672
12 Andalucia_1000Genomes @ 11.712304
13 North_Italian_HGDP @ 11.756238
14 Canarias_1000Genomes @ 11.765388
15 Castilla_La_Mancha_1000Genomes @ 12.225098
16 Valencia_1000Genomes @ 12.416013
17 French_HGDP @ 12.675765
18 French_Dodecad @ 13.042608
19 Aragon_1000Genomes @ 13.363891
20TSI30_Metspalu @ 18.866783
Metspalu? There is no dictionary for all these names?
Using 2 populations approximation:
1 50% Canarias_1000Genomes +50% French_HGDP @ 4.299719
Using 3 populations approximation:
1 50% Andalucia_1000Genomes +25% Canarias_1000Genomes +25% Hungarians_Behar @ 1.564706
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++
1 Andalucia_1000Genomes + Canarias_1000Genomes + Hungarians_Behar + Spaniards_Behar @ 1.230268
2 Andalucia_1000Genomes + Baleares_1000Genomes + Canarias_1000Genomes + Hungarians_Behar @ 1.271877
3 Andalucia_1000Genomes + Canarias_1000Genomes + Castilla_Y_Leon_1000Genomes + Hungarians_Behar @ 1.491608
4 Andalucia_1000Genomes + Canarias_1000Genomes + Hungarians_Behar + Valencia_1000Genomes @ 1.515988
5 Andalucia_1000Genomes + Canarias_1000Genomes + Cantabria_1000Genomes + Hungarians_Behar @ 1.531357
6 Andalucia_1000Genomes + Andalucia_1000Genomes + Canarias_1000Genomes + Hungarians_Behar @ 1.564706
7 Andalucia_1000Genomes + Canarias_1000Genomes + Hungarians_Behar + Spanish_Dodecad @ 1.574562
8 Baleares_1000Genomes + Canarias_1000Genomes + Hungarians_Behar + Valencia_1000Genomes @ 1.576322
9 Aragon_1000Genomes + Baleares_1000Genomes + Canarias_1000Genomes + Hungarians_Behar @ 1.620303
10 Canarias_1000Genomes + Cataluna_1000Genomes + Mordovians_Yunusbayev + Sardinian_HGDP @ 1.622599
11 Andalucia_1000Genomes + Canarias_1000Genomes + Hungarians_Behar + Murcia_1000Genomes @ 1.631682
12 Canarias_1000Genomes + Mordovians_Yunusbayev + Sardinian_HGDP + Spanish_Dodecad @ 1.645875
13 Canarias_1000Genomes + Extremadura_1000Genomes + Russian_Dodecad + Sardinian_HGDP @ 1.655991
14 Andalucia_1000Genomes + Andalucia_1000Genomes + Hungarians_Behar + Portuguese_Dodecad @ 1.671651
15 Andalucia_1000Genomes + Canarias_1000Genomes + Castilla_La_Mancha_1000Genomes + Hungarians_Behar @ 1.679362
16 Canarias_1000Genomes + Hungarians_Behar + Murcia_1000Genomes + Valencia_1000Genomes @ 1.680430
17 Baleares_1000Genomes + Canarias_1000Genomes + Castilla_La_Mancha_1000Genomes + Hungarians_Behar @ 1.705161
18 Andalucia_1000Genomes + Aragon_1000Genomes + Canarias_1000Genomes + Hungarians_Behar @ 1.712564
19 Canarias_1000Genomes + Extremadura_1000Genomes + Mordovians_Yunusbayev + Sardinian_HGDP @ 1.746101
20 Canarias_1000Genomes + Hungarians_Behar + Murcia_1000Genomes + Spaniards_Behar @ 1.765304
Done.
Elapsed time 0.4965 seconds.
Good news, everyone!
Dodecad K12b Ancient Extended, made it to Admixture Studio.
https://i.imgur.com/F8EceiL.png
Good news, everyone!
Dodecad K12b Ancient Extended, made it to Admixture Studio.
https://i.imgur.com/F8EceiL.png
Congratulations to Jovialis and Duarte! :)
Oracle Calculator by www.dnagenics.com
v1.5 07/02/2020
Finished reading population data. 647 populations found.
12 components mode.
--------------------------------
Mixed Mode:
1 92.58% R973_Medieval_Era_Tivoli_Palazzo_Cianti + 7.42% I0058_BZH4_BenzigerodeHeimburg_LN_Benzingerode-Heimburg_Germany_2283-2146_calBCE @ 0.662
2 93.36% R973_Medieval_Era_Tivoli_Palazzo_Cianti + 6.64% I0114_ESP2_Unetice_EBA_relative_of_I0117_Espersted t_Germany_2131-1979_calBCE @ 0.673
3 94.14% R973_Medieval_Era_Tivoli_Palazzo_Cianti + 5.86% I0116_ESP4_Unetice_EBA_Esperstedt_Germany_2118-1961_calBCE @ 0.740
4 94.14% R973_Medieval_Era_Tivoli_Palazzo_Cianti + 5.86% IronAgeHinxton2_Anglo-Saxon_ERS389796 @ 0.740
5 93.36% R973_Medieval_Era_Tivoli_Palazzo_Cianti + 6.64% IronAgeHinxton1_Celt_ERS389795 @ 0.751
6 93.36% R973_Medieval_Era_Tivoli_Palazzo_Cianti + 6.64% I0099_HAL36C_Halberstadt_LBA_Halberstadt-Sonntagsfeld_Germany_1113-1021_calBCE @ 0.755
7 94.14% R973_Medieval_Era_Tivoli_Palazzo_Cianti + 5.86% Szolad16 @ 0.755
8 94.14% R973_Medieval_Era_Tivoli_Palazzo_Cianti + 5.86% Collegno151 @ 0.764
9 92.58% R973_Medieval_Era_Tivoli_Palazzo_Cianti + 7.42% I0118_ALB3_Alberstedt_LN_Alberstedt_Germany_2459-2345_calBCE @ 0.767
10 94.14% R973_Medieval_Era_Tivoli_Palazzo_Cianti + 5.86% Collegno93 @ 0.774
Least-squares method.
Using 1 populations approximation
1 100% R973_Medieval_Era_Tivoli_Palazzo_Cianti @ 3.021
2 100% R835_Imperial_Era_Civitanova_Marche @ 3.285
3 100% R54_Medieval_Era_Villa_Magna @ 3.346
4 100% CrusaderKnightApuliaAbruzzoLebanonCrusaderSI53 @ 3.417
5 100% R121_Late_Antiquity_S_Ercolano_Necropolis_Ostia @ 3.430
6 100% R836_Imperial_Era_Civitanova_Marche @ 3.707
7 100% R970_Medieval_Era_Tivoli_Palazzo_Cianti @ 3.835
8 100% Collegno121 @ 3.856
9 100% R60_Medieval_Era_Villa_Magna @ 4.068
10 100% R969_Medieval_Era_Tivoli_Palazzo_Cianti @ 4.190
Using 2 populations approximation
1 50% CrusaderKnightApuliaAbruzzoLebanonCrusaderSI53 + 50% Collegno121 @ 1.219
2 50% R970_Medieval_Era_Tivoli_Palazzo_Cianti + 50% R1290_Medieval_Era_Villa_Magna @ 1.258
3 50% R54_Medieval_Era_Villa_Magna + 50% R970_Medieval_Era_Tivoli_Palazzo_Cianti @ 1.325
4 50% R836_Imperial_Era_Civitanova_Marche + 50% R970_Medieval_Era_Tivoli_Palazzo_Cianti @ 1.373
5 50% R973_Medieval_Era_Tivoli_Palazzo_Cianti + 50% R970_Medieval_Era_Tivoli_Palazzo_Cianti @ 1.434
6 50% I6491_NE_Iberia_RomP + 50% R81_Imperial_Era_Viale_Rossini_Necropolis @ 1.441
7 50% R970_Medieval_Era_Tivoli_Palazzo_Cianti + 50% R49_Imperial_Era_Centocelle_Necropolis @ 1.442
8 50% R78_Imperial_Era_Viale_Rossini_Necropolis + 50% R1221_Medieval_Era_Cancelleria @ 1.608
9 50% I2176_Balkans_BronzeAge + 50% I1632_AR1/46_Middle_Late_Chalcolithic_Vayots-Dzor_Armenia @ 1.610
10 50% R835_Imperial_Era_Civitanova_Marche + 50% CrusaderKnightApuliaAbruzzoLebanonCrusaderSI53 @ 1.786
Using 3 populations approximation
1 33% R65_Medieval_Era_Villa_Magna + 33% R65_Medieval_Era_Villa_Magna + 33% I6491_NE_Iberia_RomP @ 0.991
2 33% R1548_Imperial_Era_Monterotondo + 33% R1548_Imperial_Era_Monterotondo + 33% Collegno94 @ 1.202
3 33% R850_Iron_Age_Ardea + 33% R850_Iron_Age_Ardea + 33% I12164_NE_Iberia_c.6CE_PL @ 1.264
4 33% R970_Medieval_Era_Tivoli_Palazzo_Cianti + 33% R970_Medieval_Era_Tivoli_Palazzo_Cianti + 33% R58_Medieval_Era_Villa_Magna @ 1.446
5 33% R125_Imperial_Era_Casale_del_Dolce + 33% R125_Imperial_Era_Casale_del_Dolce + 33% Collegno57 @ 1.466
6 33% R973_Medieval_Era_Tivoli_Palazzo_Cianti + 33% R973_Medieval_Era_Tivoli_Palazzo_Cianti + 33% R970_Medieval_Era_Tivoli_Palazzo_Cianti @ 1.490
7 33% R30_Late_Antiquity_Mausole_di_Augusto + 33% R30_Late_Antiquity_Mausole_di_Augusto + 33% Szolad27 @ 1.491
8 33% CrusaderKnightApuliaAbruzzoLebanonCrusaderSI53 + 33% CrusaderKnightApuliaAbruzzoLebanonCrusaderSI53 + 33% Collegno121 @ 1.505
9 33% R973_Medieval_Era_Tivoli_Palazzo_Cianti + 33% R973_Medieval_Era_Tivoli_Palazzo_Cianti + 33% R36_Late_Antiquity_Celio @ 1.518
10 33% R970_Medieval_Era_Tivoli_Palazzo_Cianti + 33% R970_Medieval_Era_Tivoli_Palazzo_Cianti + 33% R65_Medieval_Era_Villa_Magna @ 1.519
Using 4 populations approximation
1 25% R137_Imperial_Era_Marcellino_&_Pietro + 25% R137_Imperial_Era_Marcellino_&_Pietro + 25% R137_Imperial_Era_Marcellino_&_Pietro + 25% AlemannicBavariaBIM_33 @ 1.203
2 25% R125_Imperial_Era_Casale_del_Dolce + 25% R125_Imperial_Era_Casale_del_Dolce + 25% R125_Imperial_Era_Casale_del_Dolce + 25% R106_Late_Antiquity_Crypta_Balbi @ 1.242
3 25% R1548_Imperial_Era_Monterotondo + 25% R1548_Imperial_Era_Monterotondo + 25% R1548_Imperial_Era_Monterotondo + 25% CeltiberianMixTribeNorthernSpain_I3238 @ 1.355
4 25% R125_Imperial_Era_Casale_del_Dolce + 25% R125_Imperial_Era_Casale_del_Dolce + 25% R125_Imperial_Era_Casale_del_Dolce + 25% R62_Medieval_Era_Villa_Magna @ 1.397
5 25% R126_Imperial_Era_Casale_del_Dolce + 25% R126_Imperial_Era_Casale_del_Dolce + 25% NorthAlpineBronzeAgeFrench_AITI_120 + 25% Collegno63 @ 1.397
6 25% R65_Medieval_Era_Villa_Magna + 25% R65_Medieval_Era_Villa_Magna + 25% R65_Medieval_Era_Villa_Magna + 25% I6491_NE_Iberia_RomP @ 1.402
7 25% R436_Imperial_Era_Palestrina + 25% R436_Imperial_Era_Palestrina + 25% R436_Imperial_Era_Palestrina + 25% R105_Late_Antiquity_Crypta_Balbi @ 1.402
8 25% R53_Medieval_Era_Villa_Magna + 25% R53_Medieval_Era_Villa_Magna + 25% R53_Medieval_Era_Villa_Magna + 25% R1221_Medieval_Era_Cancelleria @ 1.405
9 25% R137_Imperial_Era_Marcellino_&_Pietro + 25% R137_Imperial_Era_Marcellino_&_Pietro + 25% R137_Imperial_Era_Marcellino_&_Pietro + 25% R1219_Medieval_Era_Cancelleria @ 1.411
10 25% R136_Imperial_Era_Marcellino_&_Pietro + 25% R136_Imperial_Era_Marcellino_&_Pietro + 25% R136_Imperial_Era_Marcellino_&_Pietro + 25% NorthAlpineBronzeAgeFrench_AITI_120 @ 1.435
Congratulations to Jovialis and Duarte! :)
Thanks Angela and congrats Jovialis and mlukas. I can’t give an upvote to all of you because I only can enter in Eupedia Forum though Eupedia app to smartphones. I can’t enter in Eupedia Forum though PC , and I don’t no why. Below are my results using this new tool of DNA Genics, what’s very cool.
Oracle Calculator by www.dnagenics.com
v1.5 07/02/2020
Finished reading population data. 647 populations found.
12 components mode.
--------------------------------
Mixed Mode:
1 88,67% GironaSantJuliadeRamis_I10892 + 11,33% I3810_SE_Iberia_c.10-16CE_Afr2 @ 2,288
2 59,77% MoriscoConvertAndalusia_I7425 + 40,23% I8210_NE_Iberia_Greek_Empuries1 @ 2,989
3 54,30% MoriscoConvertAndalusia_I7425 + 45,70% Pre-RomanGirona_I3324 @ 3,079
4 62,11% MoriscoConvertAndalusia_I7425 + 37,89% I8341_NE_Iberia_Greek_Empuries1 @ 3,123
5 87,89% GironaSantJuliadeRamis_I10892 + 12,11% I7427_SE_Iberia_c.10-16CE_Afr @ 3,152
6 51,17% VasconicTribe_I8209 + 48,83% MoriscoConvertAndalusia_I7425 @ 3,323
7 51,17% I8209_NE_Iberia_Greek_Empuries1 + 48,83% MoriscoConvertAndalusia_I7425 @ 3,323
8 50,39% MoriscoConvertAndalusia_I7425 + 49,61% I8209_NE_Iberia_Greek_Empuries1 @ 3,344
9 50,39% MoriscoConvertAndalusia_I7425 + 49,61% VasconicTribe_I8209 @ 3,344
10 50,39% I8146_SE_Iberia_c.10-16CE + 49,61% Pre-RomanGirona_I3324 @ 3,359
Least-squares method.
Using 1 populations approximation
1 100% GironaSantJuliadeRamis_I10892 @ 6,297
2 100% GironaSantJuliadeRamis_I10895 @ 7,044
3 100% EarlyMedievalAndalusia_I3585 @ 7,109
4 100% I12516_SE_Iberia_c.10-16CE @ 7,449
5 100% I12514_SE_Iberia_c.10-16CE @ 7,658
6 100% EarlyMedievalIberiaGranada_I3981 @ 7,717
7 100% MedievalTaifaofValencia_I12649 @ 7,936
8 100% R63_Medieval_Era_Villa_Magna @ 7,985
9 100% GironaSantJuliadeRamis_I10852 @ 8,043
10 100% Roman-SoldierFN_2 @ 8,202
Using 2 populations approximation
1 50% MoriscoConvertAndalusia_I7425 + 50% Pre-RomanGirona_I3324 @ 3,321
2 50% VasconicTribe_I8209 + 50% MoriscoConvertAndalusia_I7425 @ 3,335
3 50% I8209_NE_Iberia_Greek_Empuries1 + 50% MoriscoConvertAndalusia_I7425 @ 3,335
4 50% I8146_SE_Iberia_c.10-16CE + 50% Pre-RomanGirona_I3324 @ 3,357
5 50% MoriscoConvertAndalusia_I7425 + 50% VisigothIberianGirona_I12034 @ 3,661
6 50% MoriscoConvertAndalusia_I7425 + 50% VasconesTribeVasconia_I3759 @ 3,704
7 50% I8146_SE_Iberia_c.10-16CE + 50% I8210_NE_Iberia_Greek_Empuries1 @ 3,822
8 50% VasconicTribe_I8209 + 50% I8146_SE_Iberia_c.10-16CE @ 3,863
9 50% I8209_NE_Iberia_Greek_Empuries1 + 50% I8146_SE_Iberia_c.10-16CE @ 3,863
10 50% I2478_Bronze_Age_Beaker_Northern_Italy + 50% MoriscoConvertAndalusia_I7425 @ 3,874
Using 3 populations approximation
1 33% Bul8_Balkans_BronzeAge + 33% I12650_SE_Iberia_c.10-16CE + 33% Collegno110 @ 2,782
2 33% Bul8_Balkans_BronzeAge + 33% I12650_SE_Iberia_c.10-16CE + 33% R60_Medieval_Era_Villa_Magna @ 2,907
3 33% Bul8_Balkans_BronzeAge + 33% I12650_SE_Iberia_c.10-16CE + 33% R1549_Imperial_Era_Monterotondo @ 3,102
4 33% Bul8_Balkans_BronzeAge + 33% I12650_SE_Iberia_c.10-16CE + 33% R121_Late_Antiquity_S_Ercolano_Necropolis_Ostia @ 3,150
5 33% Bul8_Balkans_BronzeAge + 33% I12650_SE_Iberia_c.10-16CE + 33% CrusaderKnightApuliaAbruzzoLebanonCrusaderSI53 @ 3,151
6 33% Bul8_Balkans_BronzeAge + 33% I12650_SE_Iberia_c.10-16CE + 33% R970_Medieval_Era_Tivoli_Palazzo_Cianti @ 3,324
7 33% Bul8_Balkans_BronzeAge + 33% I12650_SE_Iberia_c.10-16CE + 33% R969_Medieval_Era_Tivoli_Palazzo_Cianti @ 3,365
8 33% Bul8_Balkans_BronzeAge + 33% I12650_SE_Iberia_c.10-16CE + 33% R835_Imperial_Era_Civitanova_Marche @ 3,426
9 33% Bul8_Balkans_BronzeAge + 33% I12650_SE_Iberia_c.10-16CE + 33% Szolad37 @ 3,458
10 33% MoriscoConvertAndalusia_I7425 + 33% MoriscoConvertAndalusia_I7425 + 33% I8341_NE_Iberia_Greek_Empuries1 @ 3,460
Using 4 populations approximation
1 25% Bul8_Balkans_BronzeAge + 25% Bul8_Balkans_BronzeAge + 25% I12650_SE_Iberia_c.10-16CE + 25% R32_Late_Antiquity_Mausole_di_Augusto @ 3,072
2 25% I8146_SE_Iberia_c.10-16CE + 25% I8146_SE_Iberia_c.10-16CE + 25% Pre-RomanGirona_I3324 + 25% Bul8_Balkans_BronzeAge @ 3,078
3 25% I8146_SE_Iberia_c.10-16CE + 25% I8146_SE_Iberia_c.10-16CE + 25% Pre-RomanGirona_I3324 + 25% I8210_NE_Iberia_Greek_Empuries1 @ 3,263
4 25% I8146_SE_Iberia_c.10-16CE + 25% I8146_SE_Iberia_c.10-16CE + 25% Pre-RomanGirona_I3324 + 25% I12029_NE_Iberia_c.6CE_PL @ 3,286
5 25% Bul8_Balkans_BronzeAge + 25% Bul8_Balkans_BronzeAge + 25% I12650_SE_Iberia_c.10-16CE + 25% R53_Medieval_Era_Villa_Magna @ 3,337
6 25% I8146_SE_Iberia_c.10-16CE + 25% I8146_SE_Iberia_c.10-16CE + 25% Pre-RomanGirona_I3324 + 25% Pre-RomanGirona_I3324 @ 3,357
7 25% I8146_SE_Iberia_c.10-16CE + 25% I8146_SE_Iberia_c.10-16CE + 25% Pre-RomanGirona_I3324 + 25% I8202_NE_Iberia_RomP_Empuries1 @ 3,403
8 25% I8146_SE_Iberia_c.10-16CE + 25% I8146_SE_Iberia_c.10-16CE + 25% Pre-RomanGirona_I3324 + 25% I8341_NE_Iberia_Greek_Empuries1 @ 3,410
9 25% Bul8_Balkans_BronzeAge + 25% Bul8_Balkans_BronzeAge + 25% I12650_SE_Iberia_c.10-16CE + 25% R136_Imperial_Era_Marcellino_&_Pietro @ 3,482
10 25% Bul8_Balkans_BronzeAge + 25% Bul8_Balkans_BronzeAge + 25% I12650_SE_Iberia_c.10-16CE + 25% R35_Late_Antiquity_Celio @ 3,634
Sent from my iPhone using Eupedia Forum (http://r.tapatalk.com/byo?rid=89698)
Indeed, Thanks Angela! Duarte, congrats to you too. None of this would be possible, without mlukas and Vahaduo.
Also, Dienekes Pontikos, creator of Dodecad K12b.
Palermo Trapani
19-02-20, 20:35
Congrats to everyone involved in this project. Well done. Thanks to the Eupedia team for allowing us here to sort of develop the "prototype" so to speak by running our coordinates. Now if I can only get Dnagenics downloaded on my computer without any problems.
https://i.imgur.com/zAfh1wg.png
Thank you for all the help. The results of my grandfather brother:
8.26240885
ANI163_Varna_Outlier
8.31611688
I0115_ESP3_Unetice_EBA_Esperstedt_Germany_1931-1780_calBCE
9.09702149
AlemannicBavariaBIM_33
9.87881572
I0803_EUL41_Unetice_EBA_Eulau_Germany_2115-1996_calBCE
10.42996165
Szolad25
10.95987226
Collegno97
11.03255184
R1219_Medieval_Era_Cancelleria
11.12212210
Szolad24
11.12478314
Szolad42
11.16432264
I12162_NE_Iberia_c.6CE_PL
11.38584209
Szolad12
11.58534419
Szolad11
12.13064302
I0111_ROT4_Bell_Beaker_LN_Rothenschirmbach_Germany _2497-2436_calBCE
12.15458350
Szolad13
12.15509358
Szolad5
12.41763262
I0047_HAL16_Unetice_EBA_Halberstadt-Sonntagsfeld_Germany_2022-1937_calBCE
12.41966183
Szolad30
12.63893983
I0117_ESP29_Unetice_EBA_Esperstedt_Germany_2199-2064_calBCE
12.66296964
CrusaderKnightCelto-GermanicLebanonCrusaderSI39
12.90402650
Szolad22
13.06638435
R1286_Medieval_Era_Cancelleria
13.38638487
VisigothGermanicGirona_I12163
13.57785697
Szolad38
13.63440501
Szolad23
13.77947387
I8212_NE_Iberia_Greek_Empuries1_atypical
He was closer all the ancients samples (the varna outlier, unetice samples, alemannic and longobard samples) like me, It depends the two generation closer connection. Or not?
https://i.imgur.com/CjK3gxx.png
https://i.imgur.com/vNp396G.png
https://i.imgur.com/CjK3gxx.png
https://i.imgur.com/vNp396G.png
I'm interested to see how this will change with the upcoming samples from the Reich paper. I will use them to update the Ancient Rome Test to 2.0
Palermo Trapani
08-03-20, 05:04
I'm interested to see how this will change with the upcoming samples from the Reich paper. I will use them to update the Ancient Rome Test to 2.0
Jovialis: Any chance you and Duarte will estimate the Dodecad 12B coordinates for the two recent papers dealing with Sardinia and the one dealing with Steppe ancestry into Sardinia and Sicily? Or is that the Reich Paper you are referring to. If not, that suggest there is another paper using Roman samples coming out, which would be great as well.
My results with source data displayed in the posts above, including a plot (PCA):
Top 25 + top 60
https://i.imgur.com/01bwhqY.png
Admixture, distance 1.44457412
https://i.imgur.com/xihzCJm.png
PCA:
https://i.imgur.com/UlaA8y3.png
https://i.imgur.com/zqnCtUN.png
https://i.imgur.com/y1Uzsj7.png
Jovialis: Any chance you and Duarte will estimate the Dodecad 12B coordinates for the two recent papers dealing with Sardinia and the one dealing with Steppe ancestry into Sardinia and Sicily? Or is that the Reich Paper you are referring to. If not, that suggest there is another paper using Roman samples coming out, which would be great as well.
Hi @Palermo Trapani
I think that Jovialis refers to a paper to be published bringing old samples from Sardinia and Sicily. Jovialis may be able to give you better information.
Cheers ;)
Palermo Trapani
09-03-20, 00:55
Hi @Palermo Trapani
I think that Jovialis refers to a paper to be published bringing old samples from Sardinia and Sicily. Jovialis may be able to give you better information.
Cheers ;)
Ok, thanks.
My results with source data displayed in the posts above, including a plot (PCA):
Top 25 + top 60
https://i.imgur.com/01bwhqY.png
Admixture, distance 1.44457412
https://i.imgur.com/xihzCJm.png
PCA:
https://i.imgur.com/UlaA8y3.png
https://i.imgur.com/zqnCtUN.png
https://i.imgur.com/y1Uzsj7.png
DNA Genics results, for comparison:
https://i.imgur.com/IRUZxnf.png
https://i.imgur.com/HG6qFqv.png
https://i.imgur.com/mNcIGHz.png
https://i.imgur.com/aqJbO7z.png
Here are Anatolian Neolithic samples from Hofmanova et al. 2016
I obtained the samples from open-genomes.org, because the BAM files from ENA were not converting properly.
Early farmers from across Europe directly descended from Neolithic Aegeans
https://www.pnas.org/content/113/25/6886
http://www.open-genomes.org/genomes/Hofmanova%20(2016)/
Anatolia_N_Bar31_Barcin,0.00,0.00,5.07,0.00,45.54, 0.00,0.00,0.00,14.06,0.00,33.55,1.78
Anatolia_N_Bar8_Barcin,0.00,0.00,5.93,0.00,45.87,0 .00,0.00,0.02,14.04,0.14,33.65,0.36
Anatolia_N_Klei10,0.00,0.00,4.54,0.00,46.69,0.00,0 .00,0.00,13.45,0.00,34.37,0.95
Anatolia_N_Rev5,0.00,0.00,6.24,1.13,46.94,0.00,0.0 0,0.00,10.83,0.00,30.05,4.81
The only one missing is Pal7
https://i.imgur.com/MsySkml.png
Palermo Trapani
09-03-20, 23:28
Jovialis: thanks again for these coordinates.My distances 21.6 to 23.1.
Distance to:
PalermoTrapani
21.62702245
Anatolia_N_Bar31_Barcin
21.86340779
Anatolia_N_Bar8_Barcin
22.43111009
Anatolia_N_Klei10
23.13692071
Anatolia_N_Rev5
Hi Trapani. THX Jovialis:
Far away from me also.
https://i.imgur.com/9CwPtV9.png
Palermo Trapani
10-03-20, 01:01
Hi Trapani. THX Jovialis:
Far away from me also.
https://i.imgur.com/9CwPtV9.png
Duarte: Do you know off hand what exact dates these samples are from I went to the supplements and looked over the paper. The paper doesn't have them in there (I think, or I missed it) and there are 122 pages in the supplements.
Duarte: Do you know off hand what exact dates these samples are from I went to the supplements and looked over the paper. The paper doesn't have them in there (I think, or I missed it) and there are 122 pages in the supplements.
Nite Trapani.
Open the link below:
https://www.pnas.org/highwire/markup/519848/expansion?width=1000&height=500&iframe=true&postprocessors=highwire_tables%2Chighwire_reclass% 2Chighwire_figures%2Chighwire_math%2Chighwire_inli ne_linked_media%2Chighwire_embed
Cheers.
Palermo Trapani
10-03-20, 03:01
Nite Trapani.
Open the link below:
https://www.pnas.org/highwire/markup/519848/expansion?width=1000&height=500&iframe=true&postprocessors=highwire_tables%2Chighwire_reclass% 2Chighwire_figures%2Chighwire_math%2Chighwire_inli ne_linked_media%2Chighwire_embed
Cheers.
Duarte: Thanks. Interestingly of the 2 Y-DNA Haplogroups they were able to determine, both G (similar to Otzi).
Duarte: Thanks. Interestingly of the 2 Y-DNA Haplogroups they were able to determine, both G (similar to Otzi).
You are right Trapani.
Ötzi's full genome has been sequenced; the report on this was published on 28 February 2012. The Y chromosome DNA of Ötzi belongs to a subclade of G defined by the SNPs M201, P287, P15, L223 and L91 (G-L91, ISOGG G2a2b, former "G2a4"). He was not typed for any of the subclades downstreaming from G-L91; however, an analysis of his BAM file revealed that he belongs to the L166 and FGC5672 subclades below L91. G-L91 is now mostly found in South Corsica.
Cheers :)
my families new split ............only up to 6.0
me
Distance to:
Torziok12b
1.89726118
R55_Medieval_Era_Villa_Magna
4.40054542
I4331_Balkans_BronzeAge
4.63928874
R105_Late_Antiquity_Crypta_Balbi
4.65249395
R474_Iron_Age_Civitavecchia
4.82277928
Collegno23
4.86300319
R1_Iron_Age_Protovillanovan_Martinsicuro
5.02880702
I4332_Balkans_BronzeAge
5.21492090
R33_Late_Antiquity_Mausole_di_Augusto
98.4
R55_Medieval_Era_Villa_Magna
1.6
Szolad27
my father below
Distance to:
PonzanoK12b
2.96722092
R55_Medieval_Era_Villa_Magna
4.88872171
I4331_Balkans_BronzeAge
5.02758391
R105_Late_Antiquity_Crypta_Balbi
5.03138152
R33_Late_Antiquity_Mausole_di_Augusto
5.17989382
I4332_Balkans_BronzeAge
5.65693380
R474_Iron_Age_Civitavecchia
5.67751706
Collegno49
5.88861614
R61_Medieval_Era_Villa_Magna
5.95225167
Szolad28
81.4
R55_Medieval_Era_Villa_Magna
10.6
R61_Medieval_Era_Villa_Magna
8.0
Collegno47
my male cousin from Belluno
Distance to:
BelunPk12b
2.85040348
I4331_Balkans_BronzeAge
2.89129729
R55_Medieval_Era_Villa_Magna
2.95218563
R33_Late_Antiquity_Mausole_di_Augusto
3.00813896
I4332_Balkans_BronzeAge
3.06084956
R1_Iron_Age_Protovillanovan_Martinsicuro
4.34786154
Szolad28
5.05758836
Collegno23
5.50328993
Collegno49
39.6
R55_Medieval_Era_Villa_Magna
25.2
R1_Iron_Age_Protovillanovan_Martinsicuro
16.8
I4331_Balkans_BronzeAge
16.8
R33_Late_Antiquity_Mausole_di_Augusto
1.6
Collegno49
my female 1st cousin from Trentino is below
Distance to:
TrentinoCles
2.53333772
R33_Late_Antiquity_Mausole_di_Augusto
2.88975778
I4332_Balkans_BronzeAge
3.48031608
I4331_Balkans_BronzeAge
3.75795157
R1_Iron_Age_Protovillanovan_Martinsicuro
3.85072720
Szolad28
4.27906532
Szolad43
5.06032608
I3313_Balkans_BronzeAge
5.88459005
I3499_NWBalkans_PannonianPlain_Vucedol_EN
74.4
R33_Late_Antiquity_Mausole_di_Augusto
14.6
Szolad43
11.0
I4332_Balkans_BronzeAge
The spread of steppe and Iranian-related ancestry in the islands of the western Mediterranean
https://www.nature.com/articles/s41559-020-1102-0
https://www.ebi.ac.uk/ena/data/search?query=The+spread+of+steppe+and+Iranian-related+ancestry+in+the+islands+of+the+western+Med iterranean
I10364_Sardinia_BA_Alghero,0.00,0.00,5.79,0.24,64. 33,6.94,0.00,0.00,6.47,0.00,16.22,0.00
I10365_Sardinia_BA_Seulo,0.00,0.00,5.71,0.30,56.42 ,7.55,1.01,0.00,9.16,0.00,19.85,0.00
I10366_Sardinia_IA_Usellus,0.94,0.42,6.15,1.52,38. 84,7.43,0.00,0.00,12.67,0.00,31.00,1.03
I10371_Sicily_LBA_Marcita,0.00,0.00,7.07,0.00,48.5 9,0.00,0.00,0.00,14.15,0.00,30.20,0.00
I10372_Sicily_LBA_Marcita,0.00,0.00,2.92,0.00,50.2 5,6.43,0.00,0.00,9.53,0.00,30.75,0.12
I10373_Sicily_LBA_Marcita,0.00,0.00,2.73,0.00,47.9 9,6.22,0.00,0.00,12.46,0.88,29.57,0.14
I10502_Sardinia_BA_Anulù_Seui,0.59,0.00,0.00,0.00 ,72.27,2.04,0.00,0.00,0.00,4.67,20.43,0.00
I10552_Sardinia_BA_Perdasdefogu,0.00,0.00,3.48,0.1 7,72.12,6.36,0.00,0.00,7.01,0.00,10.86,0.00
I10553_Sardinia_BA_Perdasdefogu,0.00,0.00,3.30,0.0 0,68.13,7.19,0.00,0.00,8.46,0.00,12.92,0.00
I10554_Sardinia_BA_Perdasdefogu,0.00,0.00,4.12,0.3 1,68.87,5.38,0.00,0.00,7.21,0.00,14.03,0.07
I11442_Sicily_EBA_Buffa_Cave_II,0.00,0.00,4.78,0.0 0,48.03,9.39,0.00,0.00,10.84,0.47,26.48,0.00
I11443_Sicily_EBA_Buffa_Cave_II,5.49,1.21,1.46,0.3 8,38.60,32.29,1.45,0.00,2.98,0.00,16.12,0.00
I12220_Sardinia_LateAntiquity_Grotta_Colombi,5.54, 0.00,7.01,0.00,30.98,6.58,0.00,1.79,14.89,0.00,33. 21,0.00
I12221_Sardinia_EarlyMedieval_Grotta_Colombi,10.18 ,0.00,4.46,0.00,37.70,19.25,0.00,0.00,10.22,0.00,1 7.70,0.49
I12223_Sardinia_LateAntiquity_Grotta_Colombi,5.67, 0.00,0.00,0.00,26.52,0.00,0.37,0.00,21.57,3.33,42. 54,0.00
I14675_Sardinia_Chalcolithic_Serra_Crabiles,0.00,0 .00,5.36,0.00,68.28,6.12,0.00,0.00,7.09,0.21,12.94 ,0.00
I14676_Sardinia_Chalcolithic_Serra_Crabiles,0.00,0 .24,3.54,0.00,66.24,8.99,0.00,0.17,7.19,0.00,13.63 ,0.00
I14677_Sardinia_Chalcolithic_Serra_Crabiles,0.00,0 .00,5.27,0.00,67.70,0.32,0.00,0.00,8.51,0.00,18.14 ,0.07
I14678_Sardinia_Chalcolithic_Serra_Crabiles,0.00,0 .00,5.42,0.00,65.33,3.69,0.00,0.00,10.05,0.10,15.4 2,0.00
I15939_Sardinia_BA_contam_Anghelu_Ruju,3.90,1.87,8 .93,0.00,58.18,4.83,0.00,0.00,5.92,0.00,15.72,0.64
I15940_Sardinia_Chalcolithic_Anghelu_Ruju,0.00,0.0 0,36.31,0.00,19.57,0.00,0.00,14.31,18.39,0.00,6.03 ,5.38
I15941_Sardinia_Chalcolithic_Anghelu_Ruju,0.00,0.0 0,4.21,0.00,70.81,4.26,0.00,0.00,5.21,0.04,15.38,0 .07
I15942_Sardinia_Chalcolithic_Anghelu_Ruju,0.00,0.0 0,2.99,0.00,68.81,2.54,0.00,0.00,6.79,0.29,18.46,0 .12
I15943_Sardinia_Neolithic_Anghelu_Ruju,0.00,0.00,4 .74,1.78,74.55,0.00,0.00,0.00,7.78,0.00,11.15,0.00
I15944_Sardinia_Neolithic_contam_Anghelu_Ruju,0.00 ,0.00,4.41,2.35,68.78,3.47,0.00,0.00,6.44,0.00,14. 56,0.00
I15945_Sardinia_Neolithic_Anghelu_Ruju,0.00,0.00,7 .16,0.00,67.26,3.63,0.00,0.00,6.47,0.00,14.89,0.59
I15946_Sardinia_Neolithic_Anghelu_Ruju,0.00,0.00,4 .06,0.00,68.31,4.12,0.00,0.00,10.81,0.62,12.07,0.0 0
I15946_Sardinia_Neolithic_contam_Anghelu_Ruju,0.00 ,0.00,1.48,2.63,58.73,2.73,0.00,0.63,6.27,0.00,27. 50,0.03
I16161_Sardinia_BA_Anghelu_Ruju,0.00,0.00,4.78,0.6 1,67.91,6.44,0.00,0.00,6.99,0.00,13.26,0.00
I16163_Sardinia_IA_Anghelu_Ruju,0.72,0.00,0.77,1.2 6,51.57,15.82,0.00,0.00,10.24,0.00,19.61,0.00
I16164_Sardinia_Chalcolithic_Sa_Ucca_de_su_Tintirr iolu,0.00,0.00,0.53,0.00,65.94,6.69,0.00,0.00,8.46 ,0.06,18.32,0.00
I16165_Sardinia_Chalcolithic_Sa_Ucca_de_su_Tintirr iolu,0.00,0.00,5.16,1.50,68.05,3.72,0.00,0.00,8.52 ,0.00,13.06,0.00
I16166_Sardinia_Chalcolithic_Sa_Ucca_de_su_Tintirr iolu,0.00,0.00,2.29,0.00,62.86,8.55,0.00,0.00,8.30 ,0.00,18.01,0.00
I16168_Sardinia_BA_Anghelu_Ruju,0.00,0.00,3.37,0.0 0,68.14,2.95,0.00,0.00,9.45,0.00,15.79,0.31
I16169_Sardinia_BA_Anghelu_Ruju,0.00,0.00,4.43,0.0 0,67.80,4.25,0.00,0.00,5.88,0.00,17.64,0.00
I16170_Sardinia_BA_Anghelu_Ruju,0.00,0.00,2.85,0.8 2,66.53,6.22,0.00,0.04,7.19,0.00,16.02,0.34
I16183_Sardinia_BA_Anghelu_Ruju,0.00,0.00,2.30,0.7 3,65.78,5.96,0.00,0.00,13.06,0.00,12.16,0.00
I3122_Sicily_EBA_Buffa_Cave_II,0.00,0.00,5.09,0.00 ,57.77,4.27,0.00,0.00,9.57,0.33,22.98,0.00
I3123_Sicily_EBA_Buffa_Cave_II,0.00,0.00,4.39,0.02 ,48.74,11.73,0.00,0.00,9.86,0.00,25.27,0.00
I3124_Sicily_EBA_Buffa_Cave_II,0.00,0.49,3.79,0.00 ,49.27,15.29,0.00,0.00,7.27,0.12,23.76,0.00
I3125_Sicily_MBA_Buffa_Cave_II,0.00,0.00,3.57,0.00 ,46.58,5.20,0.02,0.00,11.20,0.00,33.40,0.02
I3315_Menorca_LBA_Naveta_des_Tudons_Menorca_Spain, 3.14,0.00,3.07,0.00,54.78,26.97,0.00,0.00,2.43,0.7 4,8.56,0.30
I3642_Sardinia_BA_Alghero,0.00,0.00,5.36,0.00,68.7 6,4.57,0.00,0.00,8.72,0.00,12.59,0.00
I3741_Sardinia_BA_Perdasdefogu,0.00,0.00,3.53,0.25 ,67.43,5.84,0.00,0.00,6.25,0.00,16.61,0.09
I3743_Sardinia_BA_Seulo,0.00,0.00,4.75,0.00,67.34, 6.57,0.00,0.00,8.71,0.00,12.63,0.00
I3876_Sicily_LBA_Marcita,0.44,0.00,3.32,0.45,45.73 ,8.05,0.00,0.00,8.38,0.00,33.09,0.54
I3878_Sicily_LBA_Marcita,0.00,0.00,4.85,0.00,47.71 ,6.41,0.00,0.00,11.13,0.83,28.97,0.11
I4062_Sicily_MN_Stretto_Partanna,0.00,0.00,3.28,0. 00,53.85,2.15,0.00,0.00,12.51,0.00,28.21,0.00
I4063_Sicily_MN_Stretto_Partanna,0.00,0.00,3.71,0. 00,57.80,3.16,0.00,0.00,11.58,0.00,23.71,0.03
I4064_Sicily_MN_Stretto_Partanna,0.00,0.00,3.45,0. 00,55.87,1.16,0.00,0.06,13.36,0.00,26.02,0.07
I4065_Sicily_MN_Stretto_Partanna,0.00,0.00,4.61,0. 00,52.59,8.80,0.00,0.23,9.64,0.00,24.13,0.00
I4109_Sicily_MBA_Buffa_Cave_II,0.00,0.00,3.84,0.00 ,47.80,4.53,0.00,0.00,12.50,0.00,31.33,0.00
I4329_Mallorca_EBA_Cova_des_Moro_Mallorca_Spain,7. 94,0.00,0.00,0.00,53.12,23.11,1.24,1.69,0.00,1.52, 10.73,0.65
I4383_Sicily_EBA_lowcov_Vallone_Inferno,0.00,0.00, 7.22,0.00,23.35,7.04,0.00,0.00,28.59,0.68,33.11,0. 00
I4420_all_Formentera_MBA_Formentera_Spain,3.80,0.0 0,5.00,1.21,55.42,21.66,1.49,0.00,2.20,0.00,8.82,0 .41
I4936_n/a,6.77,0.00,1.24,0.00,58.39,0.00,0.00,3.46,0.00,0. 00,30.15,0.00
I7774_d_Sicily_EBA_Contrada_Paolina_Castellucciana ,0.00,0.00,0.68,0.17,54.27,4.45,0.00,0.00,14.42,0. 00,26.01,0.00
I7796_Sicily_EBA_Contrada_Paolina_Castellucciana,0 .00,2.20,1.13,0.00,40.25,3.45,0.00,0.00,8.82,0.00, 44.16,0.00
I7800_Sicily_EBA_Contrada_Paolina_Castellucciana,1 .14,0.00,4.99,2.71,43.75,15.60,0.00,0.00,13.10,0.0 0,18.70,0.00
I7805_Sicily_EBA_Contrada_Paolina_Castellucciana,0 .00,3.49,5.84,0.00,53.55,3.73,0.00,0.00,16.77,0.00 ,16.63,0.00
I7807_Sicily_EBA_Contrada_Paolina_Castellucciana,0 .00,0.00,3.85,0.00,47.37,9.30,0.00,0.00,14.36,0.00 ,25.12,0.00
I8561_Sicily_EBA_Isnello,0.58,0.25,2.77,0.00,50.01 ,21.56,1.15,0.00,6.79,0.37,16.50,0.00
https://i.imgur.com/MgxFp62.png
https://i.imgur.com/K7wes9P.png
The spread of steppe and Iranian-related ancestry in the islands of the western Mediterranean
https://www.nature.com/articles/s41559-020-1102-0
https://www.ebi.ac.uk/ena/data/search?query=The+spread+of+steppe+and+Iranian-related+ancestry+in+the+islands+of+the+western+Med iterranean
I10364_Sardinia_BA_Alghero,0.00,0.00,5.79,0.24,64. 33,6.94,0.00,0.00,6.47,0.00,16.22,0.00
I10365_Sardinia_BA_Seulo,0.00,0.00,5.71,0.30,56.42 ,7.55,1.01,0.00,9.16,0.00,19.85,0.00
I10366_Sardinia_IA_Usellus,0.94,0.42,6.15,1.52,38. 84,7.43,0.00,0.00,12.67,0.00,31.00,1.03
I10371_Sicily_LBA_Marcita,0.00,0.00,7.07,0.00,48.5 9,0.00,0.00,0.00,14.15,0.00,30.20,0.00
I10372_Sicily_LBA_Marcita,0.00,0.00,2.92,0.00,50.2 5,6.43,0.00,0.00,9.53,0.00,30.75,0.12
I10373_Sicily_LBA_Marcita,0.00,0.00,2.73,0.00,47.9 9,6.22,0.00,0.00,12.46,0.88,29.57,0.14
I10502_Sardinia_BA_Anulù_Seui,0.59,0.00,0.00,0.00 ,72.27,2.04,0.00,0.00,0.00,4.67,20.43,0.00
I10552_Sardinia_BA_Perdasdefogu,0.00,0.00,3.48,0.1 7,72.12,6.36,0.00,0.00,7.01,0.00,10.86,0.00
I10553_Sardinia_BA_Perdasdefogu,0.00,0.00,3.30,0.0 0,68.13,7.19,0.00,0.00,8.46,0.00,12.92,0.00
I10554_Sardinia_BA_Perdasdefogu,0.00,0.00,4.12,0.3 1,68.87,5.38,0.00,0.00,7.21,0.00,14.03,0.07
I11442_Sicily_EBA_Buffa_Cave_II,0.00,0.00,4.78,0.0 0,48.03,9.39,0.00,0.00,10.84,0.47,26.48,0.00
I11443_Sicily_EBA_Buffa_Cae_II,5.49,1.21,1.46,0.38 ,38.60,32.29,1.45,0.00,2.98,0.00,16.12,0.00
I12220_Sardinia_LateAntiquity_Grotta_Colombi,5.54, 0.00,7.01,0.00,30.98,6.58,0.00,1.79,14.89,0.00,33. 21,0.00
I12221_Sardinia_EarlyMedieval_Grotta_Colombi,10.18 ,0.00,4.46,0.00,37.70,19.25,0.00,0.00,10.22,0.00,1 7.70,0.49
I12223_Sardinia_LateAntiquity_Grotta_Colombi,5.67, 0.00,0.00,0.00,26.52,0.00,0.37,0.00,21.57,3.33,42. 54,0.00
I14675_Sardinia_Chalcolithic_Serra_Crabiles,0.00,0 .00,5.36,0.00,68.28,6.12,0.00,0.00,7.09,0.21,12.94 ,0.00
I14676_Sardinia_Chalcolithic_Serra_Crabiles,0.00,0 .24,3.54,0.00,66.24,8.99,0.00,0.17,7.19,0.00,13.63 ,0.00
I14677_Sardinia_Chalcolithic_Serra_Crabiles,0.00,0 .00,5.27,0.00,67.70,0.32,0.00,0.00,8.51,0.00,18.14 ,0.07
I14678_Sardinia_Chalcolithic_Serra_Crabiles,0.00,0 .00,5.42,0.00,65.33,3.69,0.00,0.00,10.05,0.10,15.4 2,0.00
I15939_Sardinia_BA_contam_Anghelu_Ruju,3.90,1.87,8 .93,0.00,58.18,4.83,0.00,0.00,5.92,0.00,15.72,0.64
I15940_Sardinia_Chalcolithic_Anghelu_Ruju,0.00,0.0 0,36.31,0.00,19.57,0.00,0.00,14.31,18.39,0.00,6.03 ,5.38
I15941_Sardinia_Chalcolithic_Anghelu_Ruju,0.00,0.0 0,4.21,0.00,70.81,4.26,0.00,0.00,5.21,0.04,15.38,0 .07
I15942_Sardinia_Chalcolithic_Anghelu_Ruju,0.00,0.0 0,2.99,0.00,68.81,2.54,0.00,0.00,6.79,0.29,18.46,0 .12
I15943_Sardinia_Neolithic_Anghelu_Ruju,0.00,0.00,4 .74,1.78,74.55,0.00,0.00,0.00,7.78,0.00,11.15,0.00
I15944_Sardinia_Neolithic_contam_Anghelu_Ruju,0.00 ,0.00,4.41,2.35,68.78,3.47,0.00,0.00,6.44,0.00,14. 56,0.00
I15945_Sardinia_Neolithic_Anghelu_Ruju,0.00,0.00,7 .16,0.00,67.26,3.63,0.00,0.00,6.47,0.00,14.89,0.59
I15946_Sardinia_Neolithic_Anghelu_Ruju,0.00,0.00,4 .06,0.00,68.31,4.12,0.00,0.00,10.81,0.62,12.07,0.0 0
I15946_Sardinia_Neolithic_contam_Anghelu_Ruju,0.00 ,0.00,1.48,2.63,58.73,2.73,0.00,0.63,6.27,0.00,27. 50,0.03
I16161_Sardinia_BA_Anghelu_Ruju,0.00,0.00,4.78,0.6 1,67.91,6.44,0.00,0.00,6.99,0.00,13.26,0.00
I16163_Sardinia_IA_Anghelu_Ruju,0.72,0.00,0.77,1.2 6,51.57,15.82,0.00,0.00,10.24,0.00,19.61,0.00
I16164_Sardinia_Chalcolithic_Sa_Ucca_de_su_Tintirr iolu,0.00,0.00,0.53,0.00,65.94,6.69,0.00,0.00,8.46 ,0.06,18.32,0.00
I16165_Sardinia_Chalcolithic_Sa_Ucca_de_su_Tintirr iolu,0.00,0.00,5.16,1.50,68.05,3.72,0.00,0.00,8.52 ,0.00,13.06,0.00
I16166_Sardinia_Chalcolithic_Sa_Ucca_de_su_Tintirr iolu,0.00,0.00,2.29,0.00,62.86,8.55,0.00,0.00,8.30 ,0.00,18.01,0.00
I16168_Sardinia_BA_Anghelu_Ruju,0.00,0.00,3.37,0.0 0,68.14,2.95,0.00,0.00,9.45,0.00,15.79,0.31
I16169_Sardinia_BA_Anghelu_Ruju,0.00,0.00,4.43,0.0 0,67.80,4.25,0.00,0.00,5.88,0.00,17.64,0.00
I16170_Sardinia_BA_Anghelu_Ruju,0.00,0.00,2.85,0.8 2,66.53,6.22,0.00,0.04,7.19,0.00,16.02,0.34
I16183_Sardinia_BA_Anghelu_Ruju,0.00,0.00,2.30,0.7 3,65.78,5.96,0.00,0.00,13.06,0.00,12.16,0.00
I3122_Sicily_EBA_Buffa_Cave_II,0.00,0.00,5.09,0.00 ,57.77,4.27,0.00,0.00,9.57,0.33,22.98,0.00
I3123_Sicily_EBA_Buffa_Cave_II,0.00,0.00,4.39,0.02 ,48.74,11.73,0.00,0.00,9.86,0.00,25.27,0.00
I3124_Sicily_EBA_Buffa_Cave_II,0.00,0.49,3.79,0.00 ,49.27,15.29,0.00,0.00,7.27,0.12,23.76,0.00
I3125_Sicily_MBA_Buffa_Cave_II,0.00,0.00,3.57,0.00 ,46.58,5.20,0.02,0.00,11.20,0.00,33.40,0.02
I3315_Menorca_LBA_Naveta_des_Tudons_Menorca_Spain, 3.14,0.00,3.07,0.00,54.78,26.97,0.00,0.00,2.43,0.7 4,8.56,0.30
I3642_Sardinia_BA_Alghero,0.00,0.00,5.36,0.00,68.7 6,4.57,0.00,0.00,8.72,0.00,12.59,0.00
I3741_Sardinia_BA_Perdasdefogu,0.00,0.00,3.53,0.25 ,67.43,5.84,0.00,0.00,6.25,0.00,16.61,0.09
I3743_Sardinia_BA_Seulo,0.00,0.00,4.75,0.00,67.34, 6.57,0.00,0.00,8.71,0.00,12.63,0.00
I3876_Sicily_LBA_Marcita,0.44,0.00,3.32,0.45,45.73 ,8.05,0.00,0.00,8.38,0.00,33.09,0.54
I3878_Sicily_LBA_Marcita,0.00,0.00,4.85,0.00,47.71 ,6.41,0.00,0.00,11.13,0.83,28.97,0.11
I4062_Sicily_MN_Stretto_Partanna,0.00,0.00,3.28,0. 00,53.85,2.15,0.00,0.00,12.51,0.00,28.21,0.00
I4063_Sicily_MN_Stretto_Partanna,0.00,0.00,3.71,0. 00,57.80,3.16,0.00,0.00,11.58,0.00,23.71,0.03
I4064_Sicily_MN_Stretto_Partanna,0.00,0.00,3.45,0. 00,55.87,1.16,0.00,0.06,13.36,0.00,26.02,0.07
I4065_Sicily_MN_Stretto_Partanna,0.00,0.00,4.61,0. 00,52.59,8.80,0.00,0.23,9.64,0.00,24.13,0.00
I4109_Sicily_MBA_Buffa_Cave_II,0.00,0.00,3.84,0.00 ,47.80,4.53,0.00,0.00,12.50,0.00,31.33,0.00
I4329_Mallorca_EBA_Cova_des_Moro_Mallorca_Spain,7. 94,0.00,0.00,0.00,53.12,23.11,1.24,1.69,0.00,1.52, 10.73,0.65
I4383_Sicily_EBA_lowcov_Vallone_Inferno,0.00,0.00, 7.22,0.00,23.35,7.04,0.00,0.00,28.59,0.68,33.11,0. 00
I4420_all_Formentera_MBA_Formentera_Spain,3.80,0.0 0,5.00,1.21,55.42,21.66,1.49,0.00,2.20,0.00,8.82,0 .41
I4936_n/a,6.77,0.00,1.24,0.00,58.39,0.00,0.00,3.46,0.00,0. 00,30.15,0.00
I7774_d_Sicily_EBA_Contrada_Paolina_Castellucciana ,0.00,0.00,0.68,0.17,54.27,4.45,0.00,0.00,14.42,0. 00,26.01,0.00
I7796_Sicily_EBA_Contrada_Paolina_Castellucciana,0 .00,2.20,1.13,0.00,40.25,3.45,0.00,0.00,8.82,0.00, 44.16,0.00
I7800_Sicily_EBA_Contrada_Paolina_Castellucciana,1 .14,0.00,4.99,2.71,43.75,15.60,0.00,0.00,13.10,0.0 0,18.70,0.00
I7805_Sicily_EBA_Contrada_Paolina_Castellucciana,0 .00,3.49,5.84,0.00,53.55,3.73,0.00,0.00,16.77,0.00 ,16.63,0.00
I7807_Sicily_EBA_Contrada_Paolina_Castellucciana,0 .00,0.00,3.85,0.00,47.37,9.30,0.00,0.00,14.36,0.00 ,25.12,0.00
I8561_Sicily_EBA_Isnello,0.58,0.25,2.77,0.00,50.01 ,21.56,1.15,0.00,6.79,0.37,16.50,0.00
Thanks Jovialis. Great job. My results with data above:
https://i.imgur.com/A4BfCxB.png
https://i.imgur.com/YKeP0kn.png
Thanks Jovialis :)
https://i.imgur.com/YPd39md.jpg
https://i.imgur.com/99kXXiO.jpg
I see that the Sicilian I4383 went to Hell (Inferno) :grin:
I see that the Sicilian I4383 went to Hell (Inferno) :grin:
His sin was being low-coverage. lol
Mine :)
https://scontent-mxp1-1.xx.fbcdn.net/v/t1.15752-9/89533863_838668393275928_11341947771813888_n.png?_ nc_cat=108&_nc_sid=b96e70&_nc_ohc=0UGCyLHH1r4AX9kIV2F&_nc_ht=scontent-mxp1-1.xx&oh=1a8a4b35c8065bd81c5af1bbe1d3f8d5&oe=5E96BE68
https://scontent-mxp1-1.xx.fbcdn.net/v/t1.15752-9/89852223_898559780580478_7389806844144779264_n.png ?_nc_cat=102&_nc_sid=b96e70&_nc_ohc=cUAXAiJMKEMAX8ocomV&_nc_ht=scontent-mxp1-1.xx&oh=818e2a9fda0037a1d043ccdf5545a073&oe=5E94A353
Palermo Trapani
16-03-20, 20:26
The spread of steppe and Iranian-related ancestry in the islands of the western Mediterranean
https://www.nature.com/articles/s41559-020-1102-0
https://www.ebi.ac.uk/ena/data/search?query=The+spread+of+steppe+and+Iranian-related+ancestry+in+the+islands+of+the+western+Med iterranean
I10364_Sardinia_BA_Alghero,0.00,0.00,5.79,0.24,64. 33,6.94,0.00,0.00,6.47,0.00,16.22,0.00
I10365_Sardinia_BA_Seulo,0.00,0.00,5.71,0.30,56.42 ,7.55,1.01,0.00,9.16,0.00,19.85,0.00
I10366_Sardinia_IA_Usellus,0.94,0.42,6.15,1.52,38. 84,7.43,0.00,0.00,12.67,0.00,31.00,1.03
I10371_Sicily_LBA_Marcita,0.00,0.00,7.07,0.00,48.5 9,0.00,0.00,0.00,14.15,0.00,30.20,0.00
I10372_Sicily_LBA_Marcita,0.00,0.00,2.92,0.00,50.2 5,6.43,0.00,0.00,9.53,0.00,30.75,0.12
I10373_Sicily_LBA_Marcita,0.00,0.00,2.73,0.00,47.9 9,6.22,0.00,0.00,12.46,0.88,29.57,0.14
I10502_Sardinia_BA_Anulù_Seui,0.59,0.00,0.00,0.00 ,72.27,2.04,0.00,0.00,0.00,4.67,20.43,0.00
I10552_Sardinia_BA_Perdasdefogu,0.00,0.00,3.48,0.1 7,72.12,6.36,0.00,0.00,7.01,0.00,10.86,0.00
I10553_Sardinia_BA_Perdasdefogu,0.00,0.00,3.30,0.0 0,68.13,7.19,0.00,0.00,8.46,0.00,12.92,0.00
I10554_Sardinia_BA_Perdasdefogu,0.00,0.00,4.12,0.3 1,68.87,5.38,0.00,0.00,7.21,0.00,14.03,0.07
I11442_Sicily_EBA_Buffa_Cave_II,0.00,0.00,4.78,0.0 0,48.03,9.39,0.00,0.00,10.84,0.47,26.48,0.00
I11443_Sicily_EBA_Buffa_Cae_II,5.49,1.21,1.46,0.38 ,38.60,32.29,1.45,0.00,2.98,0.00,16.12,0.00
I12220_Sardinia_LateAntiquity_Grotta_Colombi,5.54, 0.00,7.01,0.00,30.98,6.58,0.00,1.79,14.89,0.00,33. 21,0.00
I12221_Sardinia_EarlyMedieval_Grotta_Colombi,10.18 ,0.00,4.46,0.00,37.70,19.25,0.00,0.00,10.22,0.00,1 7.70,0.49
I12223_Sardinia_LateAntiquity_Grotta_Colombi,5.67, 0.00,0.00,0.00,26.52,0.00,0.37,0.00,21.57,3.33,42. 54,0.00
I14675_Sardinia_Chalcolithic_Serra_Crabiles,0.00,0 .00,5.36,0.00,68.28,6.12,0.00,0.00,7.09,0.21,12.94 ,0.00
I14676_Sardinia_Chalcolithic_Serra_Crabiles,0.00,0 .24,3.54,0.00,66.24,8.99,0.00,0.17,7.19,0.00,13.63 ,0.00
I14677_Sardinia_Chalcolithic_Serra_Crabiles,0.00,0 .00,5.27,0.00,67.70,0.32,0.00,0.00,8.51,0.00,18.14 ,0.07
I14678_Sardinia_Chalcolithic_Serra_Crabiles,0.00,0 .00,5.42,0.00,65.33,3.69,0.00,0.00,10.05,0.10,15.4 2,0.00
I15939_Sardinia_BA_contam_Anghelu_Ruju,3.90,1.87,8 .93,0.00,58.18,4.83,0.00,0.00,5.92,0.00,15.72,0.64
I15940_Sardinia_Chalcolithic_Anghelu_Ruju,0.00,0.0 0,36.31,0.00,19.57,0.00,0.00,14.31,18.39,0.00,6.03 ,5.38
I15941_Sardinia_Chalcolithic_Anghelu_Ruju,0.00,0.0 0,4.21,0.00,70.81,4.26,0.00,0.00,5.21,0.04,15.38,0 .07
I15942_Sardinia_Chalcolithic_Anghelu_Ruju,0.00,0.0 0,2.99,0.00,68.81,2.54,0.00,0.00,6.79,0.29,18.46,0 .12
I15943_Sardinia_Neolithic_Anghelu_Ruju,0.00,0.00,4 .74,1.78,74.55,0.00,0.00,0.00,7.78,0.00,11.15,0.00
I15944_Sardinia_Neolithic_contam_Anghelu_Ruju,0.00 ,0.00,4.41,2.35,68.78,3.47,0.00,0.00,6.44,0.00,14. 56,0.00
I15945_Sardinia_Neolithic_Anghelu_Ruju,0.00,0.00,7 .16,0.00,67.26,3.63,0.00,0.00,6.47,0.00,14.89,0.59
I15946_Sardinia_Neolithic_Anghelu_Ruju,0.00,0.00,4 .06,0.00,68.31,4.12,0.00,0.00,10.81,0.62,12.07,0.0 0
I15946_Sardinia_Neolithic_contam_Anghelu_Ruju,0.00 ,0.00,1.48,2.63,58.73,2.73,0.00,0.63,6.27,0.00,27. 50,0.03
I16161_Sardinia_BA_Anghelu_Ruju,0.00,0.00,4.78,0.6 1,67.91,6.44,0.00,0.00,6.99,0.00,13.26,0.00
I16163_Sardinia_IA_Anghelu_Ruju,0.72,0.00,0.77,1.2 6,51.57,15.82,0.00,0.00,10.24,0.00,19.61,0.00
I16164_Sardinia_Chalcolithic_Sa_Ucca_de_su_Tintirr iolu,0.00,0.00,0.53,0.00,65.94,6.69,0.00,0.00,8.46 ,0.06,18.32,0.00
I16165_Sardinia_Chalcolithic_Sa_Ucca_de_su_Tintirr iolu,0.00,0.00,5.16,1.50,68.05,3.72,0.00,0.00,8.52 ,0.00,13.06,0.00
I16166_Sardinia_Chalcolithic_Sa_Ucca_de_su_Tintirr iolu,0.00,0.00,2.29,0.00,62.86,8.55,0.00,0.00,8.30 ,0.00,18.01,0.00
I16168_Sardinia_BA_Anghelu_Ruju,0.00,0.00,3.37,0.0 0,68.14,2.95,0.00,0.00,9.45,0.00,15.79,0.31
I16169_Sardinia_BA_Anghelu_Ruju,0.00,0.00,4.43,0.0 0,67.80,4.25,0.00,0.00,5.88,0.00,17.64,0.00
I16170_Sardinia_BA_Anghelu_Ruju,0.00,0.00,2.85,0.8 2,66.53,6.22,0.00,0.04,7.19,0.00,16.02,0.34
I16183_Sardinia_BA_Anghelu_Ruju,0.00,0.00,2.30,0.7 3,65.78,5.96,0.00,0.00,13.06,0.00,12.16,0.00
I3122_Sicily_EBA_Buffa_Cave_II,0.00,0.00,5.09,0.00 ,57.77,4.27,0.00,0.00,9.57,0.33,22.98,0.00
I3123_Sicily_EBA_Buffa_Cave_II,0.00,0.00,4.39,0.02 ,48.74,11.73,0.00,0.00,9.86,0.00,25.27,0.00
I3124_Sicily_EBA_Buffa_Cave_II,0.00,0.49,3.79,0.00 ,49.27,15.29,0.00,0.00,7.27,0.12,23.76,0.00
I3125_Sicily_MBA_Buffa_Cave_II,0.00,0.00,3.57,0.00 ,46.58,5.20,0.02,0.00,11.20,0.00,33.40,0.02
I3315_Menorca_LBA_Naveta_des_Tudons_Menorca_Spain, 3.14,0.00,3.07,0.00,54.78,26.97,0.00,0.00,2.43,0.7 4,8.56,0.30
I3642_Sardinia_BA_Alghero,0.00,0.00,5.36,0.00,68.7 6,4.57,0.00,0.00,8.72,0.00,12.59,0.00
I3741_Sardinia_BA_Perdasdefogu,0.00,0.00,3.53,0.25 ,67.43,5.84,0.00,0.00,6.25,0.00,16.61,0.09
I3743_Sardinia_BA_Seulo,0.00,0.00,4.75,0.00,67.34, 6.57,0.00,0.00,8.71,0.00,12.63,0.00
I3876_Sicily_LBA_Marcita,0.44,0.00,3.32,0.45,45.73 ,8.05,0.00,0.00,8.38,0.00,33.09,0.54
I3878_Sicily_LBA_Marcita,0.00,0.00,4.85,0.00,47.71 ,6.41,0.00,0.00,11.13,0.83,28.97,0.11
I4062_Sicily_MN_Stretto_Partanna,0.00,0.00,3.28,0. 00,53.85,2.15,0.00,0.00,12.51,0.00,28.21,0.00
I4063_Sicily_MN_Stretto_Partanna,0.00,0.00,3.71,0. 00,57.80,3.16,0.00,0.00,11.58,0.00,23.71,0.03
I4064_Sicily_MN_Stretto_Partanna,0.00,0.00,3.45,0. 00,55.87,1.16,0.00,0.06,13.36,0.00,26.02,0.07
I4065_Sicily_MN_Stretto_Partanna,0.00,0.00,4.61,0. 00,52.59,8.80,0.00,0.23,9.64,0.00,24.13,0.00
I4109_Sicily_MBA_Buffa_Cave_II,0.00,0.00,3.84,0.00 ,47.80,4.53,0.00,0.00,12.50,0.00,31.33,0.00
I4329_Mallorca_EBA_Cova_des_Moro_Mallorca_Spain,7. 94,0.00,0.00,0.00,53.12,23.11,1.24,1.69,0.00,1.52, 10.73,0.65
I4383_Sicily_EBA_lowcov_Vallone_Inferno,0.00,0.00, 7.22,0.00,23.35,7.04,0.00,0.00,28.59,0.68,33.11,0. 00
I4420_all_Formentera_MBA_Formentera_Spain,3.80,0.0 0,5.00,1.21,55.42,21.66,1.49,0.00,2.20,0.00,8.82,0 .41
I4936_n/a,6.77,0.00,1.24,0.00,58.39,0.00,0.00,3.46,0.00,0. 00,30.15,0.00
I7774_d_Sicily_EBA_Contrada_Paolina_Castellucciana ,0.00,0.00,0.68,0.17,54.27,4.45,0.00,0.00,14.42,0. 00,26.01,0.00
I7796_Sicily_EBA_Contrada_Paolina_Castellucciana,0 .00,2.20,1.13,0.00,40.25,3.45,0.00,0.00,8.82,0.00, 44.16,0.00
I7800_Sicily_EBA_Contrada_Paolina_Castellucciana,1 .14,0.00,4.99,2.71,43.75,15.60,0.00,0.00,13.10,0.0 0,18.70,0.00
I7805_Sicily_EBA_Contrada_Paolina_Castellucciana,0 .00,3.49,5.84,0.00,53.55,3.73,0.00,0.00,16.77,0.00 ,16.63,0.00
I7807_Sicily_EBA_Contrada_Paolina_Castellucciana,0 .00,0.00,3.85,0.00,47.37,9.30,0.00,0.00,14.36,0.00 ,25.12,0.00
I8561_Sicily_EBA_Isnello,0.58,0.25,2.77,0.00,50.01 ,21.56,1.15,0.00,6.79,0.37,16.50,0.00
Grazie Mille Jovialis for putting these coordinates together!
Palermo Trapani
16-03-20, 20:40
My top 25 Distances:
Distance to:
PalermoTrapani
8.41816488
I12220_Sardinia_LateAntiquity_Grotta_Colombi
12.24358199
I10366_Sardinia_IA_Usellus
17.04939588
I12221_Sardinia_EarlyMedieval_Grotta_Colombi
18.04210354
I3876_Sicily_LBA_Marcita
19.50048205
I7800_Sicily_EBA_Contrada_Paolina_Castellucciana
19.53551126
I3125_Sicily_MBA_Buffa_Cave_II
19.79989646
I7807_Sicily_EBA_Contrada_Paolina_Castellucciana
20.02307669
I11442_Sicily_EBA_Buffa_Cave_II
20.11438789
I3878_Sicily_LBA_Marcita
20.19769789
I4383_Sicily_EBA_lowcov_Vallone_Inferno
20.29788659
I10373_Sicily_LBA_Marcita
20.67843563
I4109_Sicily_MBA_Buffa_Cave_II
20.69572178
I12223_Sardinia_LateAntiquity_Grotta_Colombi
20.72742628
I3123_Sicily_EBA_Buffa_Cave_II
20.83430824
I7796_Sicily_EBA_Contrada_Paolina_Castellucciana
22.17047135
I3124_Sicily_EBA_Buffa_Cave_II
22.34168973
I10372_Sicily_LBA_Marcita
23.91030740
I10371_Sicily_LBA_Marcita
24.91285411
I4065_Sicily_MN_Stretto_Partanna
25.33204690
I16163_Sardinia_IA_Anghelu_Ruju
27.05956947
I4062_Sicily_MN_Stretto_Partanna
27.12667138
I7774_d_Sicily_EBA_Contrada_Paolina_Castellucciana
27.29963187
I8561_Sicily_EBA_Isnello
27.52953505
I11443_Sicily_EBA_Buffa_Cae_II
29.54683063
I4064_Sicily_MN_Stretto_Partanna
Target: PalermoTrapani
Distance: 8.4182% / 8.41816488 | ADC: 2x
100.0
I12220_Sardinia_LateAntiquity_Grotta_Colombi
Target: PalermoTrapani
Distance: 6.6944% / 6.69436183 | ADC: 1x
88.2
I12220_Sardinia_LateAntiquity_Grotta_Colombi
11.8
I12221_Sardinia_EarlyMedieval_Grotta_Colombi
Target: PalermoTrapani
Distance: 4.4792% / 4.47919540 | ADC: 0.5x
83.4
I12220_Sardinia_LateAntiquity_Grotta_Colombi
16.6
I11443_Sicily_EBA_Buffa_Cae_II
Target: PalermoTrapani
Distance: 3.2307% / 3.23073580 | ADC: 0.25x
61.4 I12220_Sardinia_LateAntiquity_Grotta_Colombi
24.4 I11443_Sicily_EBA_Buffa_Cae_II
14.2 I12223_Sardinia_LateAntiquity_Grotta_Colombi
Mine:
Distance to:
Angela
11.07102073
I3124_Sicily_EBA_Buffa_Cave_II
12.45045381
I12221_Sardinia_EarlyMedieval_Grotta_Colombi
12.92201610
I3123_Sicily_EBA_Buffa_Cave_II
13.25026415
I7800_Sicily_EBA_Contrada_Paolina_Castellucciana
14.38574642
I11442_Sicily_EBA_Buffa_Cave_II
14.57788050
I8561_Sicily_EBA_Isnello
14.73415759
I3876_Sicily_LBA_Marcita
14.81628496
I16163_Sardinia_IA_Anghelu_Ruju
15.79691742
I7807_Sicily_EBA_Contrada_Paolina_Castellucciana
15.80730211
I10366_Sardinia_IA_Usellus
16.70378700
I3878_Sicily_LBA_Marcita
17.27354625
I11443_Sicily_EBA_Buffa_Cave_II
17.27547394
I4065_Sicily_MN_Stretto_Partanna
17.35155036
I10373_Sicily_LBA_Marcita
17.50997430
I10372_Sicily_LBA_Marcita
18.19678818
I3125_Sicily_MBA_Buffa_Cave_II
18.98625292
I4109_Sicily_MBA_Buffa_Cave_II
20.53280302
I12220_Sardinia_LateAntiquity_Grotta_Colombi
21.71147162
I4329_Mallorca_EBA_Cova_des_Moro_Mallorca_Spain
21.76161759
I10365_Sardinia_BA_Seulo
22.44907570
I7774_d_Sicily_EBA_Contrada_Paolina_Castellucciana
23.14636041
I4062_Sicily_MN_Stretto_Partanna
23.65012685
I4420_all_Formentera_MBA_Formentera_Spain
23.76692870
I10371_Sicily_LBA_Marcita
23.88911677
I3122_Sicily_EBA_Buffa_Cave_II
Not bad for Early Bronze, so pre-steppe, pre-Greek and eastern Mediterranean.
Target: Angela
Distance: 1.5322% / 1.53221931
49.8
I11443_Sicily_EBA_Buffa_Cave_II
25.2
I7796_Sicily_EBA_Contrada_Paolina_Castellucciana
8.0
I4936_n/a
7.8
I3876_Sicily_LBA_Marcita
5.8
I12221_Sardinia_EarlyMedieval_Grotta_Colombi
3.4
I12220_Sardinia_LateAntiquity_Grotta_Colombi
Target: Angela
Distance: 2.1261% / 2.12605528 | ADC: 0.25x
42.4
I11443_Sicily_EBA_Buffa_Cave_II
35.0
I3876_Sicily_LBA_Marcita
12.4
I7796_Sicily_EBA_Contrada_Paolina_Castellucciana
10.2
I12221_Sardinia_EarlyMedieval_Grotta_Colombi
Palermo Trapani
17-03-20, 01:32
Mine:
Distance to:
Angela
11.07102073
I3124_Sicily_EBA_Buffa_Cave_II
12.45045381
I12221_Sardinia_EarlyMedieval_Grotta_Colombi
12.92201610
I3123_Sicily_EBA_Buffa_Cave_II
13.25026415
I7800_Sicily_EBA_Contrada_Paolina_Castellucciana
14.38574642
I11442_Sicily_EBA_Buffa_Cave_II
14.57788050
I8561_Sicily_EBA_Isnello
14.73415759
I3876_Sicily_LBA_Marcita
14.81628496
I16163_Sardinia_IA_Anghelu_Ruju
15.79691742
I7807_Sicily_EBA_Contrada_Paolina_Castellucciana
15.80730211
I10366_Sardinia_IA_Usellus
16.70378700
I3878_Sicily_LBA_Marcita
17.27354625
I11443_Sicily_EBA_Buffa_Cave_II
17.27547394
I4065_Sicily_MN_Stretto_Partanna
17.35155036
I10373_Sicily_LBA_Marcita
17.50997430
I10372_Sicily_LBA_Marcita
18.19678818
I3125_Sicily_MBA_Buffa_Cave_II
18.98625292
I4109_Sicily_MBA_Buffa_Cave_II
20.53280302
I12220_Sardinia_LateAntiquity_Grotta_Colombi
21.71147162
I4329_Mallorca_EBA_Cova_des_Moro_Mallorca_Spain
21.76161759
I10365_Sardinia_BA_Seulo
22.44907570
I7774_d_Sicily_EBA_Contrada_Paolina_Castellucciana
23.14636041
I4062_Sicily_MN_Stretto_Partanna
23.65012685
I4420_all_Formentera_MBA_Formentera_Spain
23.76692870
I10371_Sicily_LBA_Marcita
23.88911677
I3122_Sicily_EBA_Buffa_Cave_II
Not bad for Early Bronze, so pre-steppe, pre-Greek and eastern Mediterranean.
Target: Angela
Distance: 1.5322% / 1.53221931
49.8
I11443_Sicily_EBA_Buffa_Cave_II
25.2
I7796_Sicily_EBA_Contrada_Paolina_Castellucciana
8.0
I4936_n/a
7.8
I3876_Sicily_LBA_Marcita
5.8
I12221_Sardinia_EarlyMedieval_Grotta_Colombi
3.4
I12220_Sardinia_LateAntiquity_Grotta_Colombi
Target: Angela
Distance: 2.1261% / 2.12605528 | ADC: 0.25x
42.4
I11443_Sicily_EBA_Buffa_Cave_II
35.0
I3876_Sicily_LBA_Marcita
12.4
I7796_Sicily_EBA_Contrada_Paolina_Castellucciana
10.2
I12221_Sardinia_EarlyMedieval_Grotta_Colombi
Angela: Looking at your results, I think you have said your family is from Tuscany and Liguria? Is that correct, you have good distances with these ancient Sicilians and Sardinians, my best I think is 3% which is good, you have 2 < than that. I am wondering if what I have come to think is correct, and the Park Information at Segesta Trapani states this is that the Elymi were a Ligurian population and the Sicani maybe came from Iberia. Any thoughts?
Angela: Looking at your results, I think you have said your family is from Tuscany and Liguria? Is that correct, you have good distances with these ancient Sicilians and Sardinians, my best I think is 3% which is good, you have 2 < than that. I am wondering if what I have come to think is correct, and the Park Information at Segesta Trapani states this is that the Elymi were a Ligurian population and the Sicani maybe came from Iberia. Any thoughts?
My top 3 are same as angela , but starting at 12
Palermo Trapani
17-03-20, 18:29
Torzio: Yes, I see many here whose ancestors are from various regions having reasonable distances with these ancient Sardinian and Sicilian samples. To me, at least with respect to the Sicilian samples, it is consistent with the hypothesis that the Elymi were related to the Ligures, whose territory included modern Liguria and parts of Piedmont South of the Po River and NW Tuscany. I have said this before in other posts but I spend an entire day in Segesta last summer at the Archaeological park there and that was the what all the official park literature and Brochures indicated was the most probably origin of the Elymi people. I purchased one, nice photos and good write up about Segesta and the Elymi.
Once again, thanks for the response and thanks to Jovialis again for putting together the sample coordinates.
Torzio: Yes, I see many here whose ancestors are from various regions having reasonable distances with these ancient Sardinian and Sicilian samples. To me, at least with respect to the Sicilian samples, it is consistent with the hypothesis that the Elymi were related to the Ligures, whose territory included modern Liguria and parts of Piedmont South of the Po River and NW Tuscany. I have said this before in other posts but I spend an entire day in Segesta last summer at the Archaeological park there and that was the what all the official park literature and Brochures indicated was the most probably origin of the Elymi people. I purchased one, nice photos and good write up about Segesta and the Elymi.
Once again, thanks for the response and thanks to Jovialis again for putting together the sample coordinates.
Ligures lands changed a lot in history, so it depends on the time in question...........I have read that the , Ligures and Elymi are related from ancient times, but also related with southern france from rhone river to Italy, this was also Ligures.............then there is the story of Corsica .......what was it it ancient times excluding greek and etruscan settlements or more modern the genoese mix
Palermo Trapani
18-03-20, 18:26
Torzio: Ok, I forgot that Yes Greeks founded some settlements in Southern France adjacent to modern Liguria and the Estrucans expanded North so by the time of the Roman Republic.
Palermo Trapani
20-03-20, 20:30
I added the recent new data provided by Jovialis and rest of Eupedia team (Ancient Sardinian and Sicilian samples) to the other ancient samples K12b dodecad spreadsheet that I ran on my personal computer (I do not mean that I edited the actual K12 spreadsheet). Distances of 0.568 using 0.25x to 2.1 sing 2x. R52 and R56 continue to be the leaders using 2x for every estimation I have run. Anyway, hope everyone is doing well during what is becoming more and more a total lock-down. Cheers.
Target: PalermoTrapani
Distance: 2.1017% / 2.10165024 | ADC: 2x
55.0
R52_Medieval_Era_Villa_Magna
45.0
R56_Medieval_Era_Villa_Magna
Target: PalermoTrapani
Distance: 1.6478% / 1.64778114 | ADC: 1x
52.2
R52_Medieval_Era_Villa_Magna
25.6
R35_Late_Antiquity_Celio
21.4
R56_Medieval_Era_Villa_Magna
0.8
R835_Imperial_Era_Civitanova_Marche
Target: PalermoTrapani
Distance: 1.1565% / 1.15648936 | ADC: 0.5x
41.4
R52_Medieval_Era_Villa_Magna
27.2
R35_Late_Antiquity_Celio
15.4
R56_Medieval_Era_Villa_Magna
10.0
R835_Imperial_Era_Civitanova_Marche
3.0
R117_Late_Antiquity_S_Ercolano_Necropolis_Ostia
2.2
I3808_SE_Iberia_c.10-16CE
0.8
I7499_SE_Iberia_c.10-16CE
Target: PalermoTrapani
Distance: 0.5680% / 0.56798132 | ADC: 0.25x
47.8
R52_Medieval_Era_Villa_Magna
14.2
R835_Imperial_Era_Civitanova_Marche
13.0
R35_Late_Antiquity_Celio
8.0
R117_Late_Antiquity_S_Ercolano_Necropolis_Ostia
5.8
R56_Medieval_Era_Villa_Magna
5.4
R136_Imperial_Era_Marcellino_&_Pietro
3.6
I7499_SE_Iberia_c.10-16CE
1.4
BAJ001_Baja_PPNB
0.6
I4383_Sicily_EBA_lowcov_Vallone_Inferno
0.2
I1704_AG89_1_Early_LPPNB
Genome flux and stasis in a five millennium transect of European prehistory
(http://www.y-str.org/p/ancient-dna.html)
BR1_Hungary_2080BC,0.00,0.00,0.00,0.00,45.03,54.84 ,0.00,0.00,0.00,0.00,0.13,0.00
BR2_Hungary_1180BC,1.09,0.00,0.38,0.00,36.78,41.52 ,0.00,0.00,3.74,0.00,16.14,0.36
CO1_Hungary_2810BC,0.00,0.00,1.54,0.00,65.12,9.70, 0.00,0.00,5.33,0.00,18.31,0.00
IR1_Hungary_900BC,12.79,4.22,0.00,0.00,24.04,43.85 ,0.00,0.00,0.00,0.00,15.09,0.00
KO1_Hungary_5710BC,0.00,0.00,0.00,0.00,22.65,77.20 ,0.15,0.00,0.00,0.00,0.00,0.00
KO2_Hungary_5640BC,0.00,0.00,6.93,0.00,54.74,0.00, 0.00,0.00,8.75,0.00,29.58,0.00
NE1_Hungary_5230BC,0.00,0.00,2.35,0.00,49.16,4.72, 0.00,0.00,13.36,0.00,30.41,0.00
NE2_Hungary_5140BC,0.00,0.00,0.00,0.00,68.57,12.56 ,0.00,0.00,6.86,0.00,12.02,0.00
NE3_Hungary_5130BC,0.00,0.00,0.00,0.00,62.82,9.32, 0.00,0.00,5.06,0.00,22.81,0.00
NE4_Hungary_5130BC,0.00,0.00,0.00,0.00,63.48,6.13, 0.00,0.00,7.98,0.00,22.41,0.00
NE5_Hungary_5120BC,0.00,0.00,0.23,0.00,65.52,0.00, 0.00,0.00,10.97,0.00,23.27,0.00
NE6_Hungary_5090BC,0.00,0.00,0.00,0.00,63.60,0.00, 0.00,0.00,11.43,0.00,24.97,0.00
NE7_Hungary_4420BC,0.00,0.00,0.00,0.00,51.44,48.56 ,0.00,0.00,0.00,0.00,0.00,0.00
https://www.nature.com/articles/ncomms6257
CSV files downloaded from http://www.y-str.org/p/ancient-dna.html
Palermo Trapani
21-03-20, 00:20
Jovialis: Thanks for these updated samples, Gives me something to do with this lock down situation, etc. Here are my distances for those samples.
Distance to:
PalermoTrapani
21.82728797
NE1_Hungary_5230BC
29.09814255
KO2_Hungary_5640BC
34.39944476
BR2_Hungary_1180BC
35.44392755
NE3_Hungary_5130BC
36.15288785
NE4_Hungary_5130BC
37.18422381
NE6_Hungary_5090BC
38.18388404
IR1_Hungary_900BC
38.61864446
CO1_Hungary_2810BC
39.21603499
NE5_Hungary_5120BC
43.83685892
NE2_Hungary_5140BC
53.63528410
NE7_Hungary_4420BC
55.86616597
BR1_Hungary_2080BC
72.99591427
KO1_Hungary_5710BC
Same distances as above in plain text format. Blue is hard to see.
Distance to: PalermoTrapani
21.82728797 NE1_Hungary_5230BC
29.09814255 KO2_Hungary_5640BC
34.39944476 BR2_Hungary_1180BC
35.44392755 NE3_Hungary_5130BC
36.15288785 NE4_Hungary_5130BC
37.18422381 NE6_Hungary_5090BC
38.18388404 IR1_Hungary_900BC
38.61864446 CO1_Hungary_2810BC
39.21603499 NE5_Hungary_5120BC
43.83685892 NE2_Hungary_5140BC
53.63528410 NE7_Hungary_4420BC
55.86616597 BR1_Hungary_2080BC
72.99591427 KO1_Hungary_5710BC
Here is mine:
https://i.imgur.com/BzlzfAr.png
https://i.imgur.com/COVixhD.png
Hi Trapani. THX
[email protected]: You are doing a wonderful job in developing the Dodecad K12b ancient calculator.
My results with the new source data you posted:
https://i.imgur.com/dTyFv2o.png
https://i.imgur.com/KN3Wk8A.png
Distance to:
Angela
19.44582217
NE1_Hungary_5230BC
24.88092643
NE3_Hungary_5130BC
25.00309981
KO2_Hungary_5640BC
25.39413515
BR2_Hungary_1180BC
27.06246478
NE4_Hungary_5130BC
27.73900503
CO1_Hungary_2810BC
30.83426017
NE6_Hungary_5090BC
32.31379117
NE5_Hungary_5120BC
32.47433910
NE2_Hungary_5140BC
33.85984495
IR1_Hungary_900BC
41.72462582
NE7_Hungary_4420BC
45.25534223
BR1_Hungary_2080BC
66.81439516
KO1_Hungary_5710BC
Not great, but still...NE1 is a 7,000 year old sample.
Target: Angela
Distance: 5.0309% / 5.03094683 | ADC: 0.5x
62.4
NE1_Hungary_5230BC
19.6
BR2_Hungary_1180BC
18.0
IR1_Hungary_900BC
Target: Angela
Distance: 3.9032% / 3.90318526 | ADC: 0.25x
50.6
NE1_Hungary_5230BC
30.4
IR1_Hungary_900BC
11.2
KO2_Hungary_5640BC
7.8
BR2_Hungary_1180BC
Target: Angela
Distance: 3.6196% / 3.61959977
36.2
IR1_Hungary_900BC
34.2
NE1_Hungary_5230BC
26.4
KO2_Hungary_5640BC
3.2
BR2_Hungary_1180BC
Just for curiosity. :)
Well, there you go:
Distance to:
NE1_Hungary_5230BC
17.98749165
France_Corsica
22.71544272
Italy_Marche
23.09781267
Italy_Tuscany
23.26642646
Italy_Romagna
23.62663256
Italy_Campania
23.90972168
Italy_Emilia
23.97602115
Italy_Liguria
24.20452437
Morocco_Jews
24.36727404
Italy_Lazio
24.50136975
Italy_Abruzzo
24.78742829
Italy_Calabria
25.03199163
Italy_Sicily
25.05596935
Sardinian
25.11970541
Sephardic_Jews
25.26654621
Italy_Lombardy
25.68698892
Andalucia
26.14215370
Ashkenazi
26.29361519
Baleares
26.31152219
Murcia
27.16657689
Ashkenazy_Jews
27.26620014
Italy_Piedmont
27.40877465
Italy_Apulia
27.51232815
Canarias
27.58470953
Greek
28.27292481
Italy_Veneto
If that Corsican sample wasn't submitted by that Italian racist, whom I don't trust at all to submit a representative sample, I'd start thinking maybe Corsicans harbor a lot of really archaic EEF ancestry, which I may harbor as well? Or maybe it's because the Corsican sample he chose has a lot of Ligurian and Tuscan ancestry, which I also carry?
The oldest sample...again, there you go...
Distance to:
KO2_Hungary_5640BC
18.78794826
Sardinian
24.20574345
France_Corsica
26.39285509
Andalucia
27.90916337
Murcia
28.19193856
Canarias
28.82647047
Baleares
29.70977465
Italy_Tuscany
29.84096342
Italy_Marche
29.93355976
Morocco_Jews
30.19492341
Italy_Romagna
30.20982208
Italy_Liguria
30.21354251
Italy_Emilia
30.75921650
Castilla_Y_Leon
30.88364292
Castilla_La_Mancha
30.93765343
Extremadura
30.95598950
Italy_Campania
31.10530497
Italy_Lombardy
31.12785569
Spaniards
31.19113977
Galicia
31.35823975
Valencia
31.44546015
Italy_Lazio
31.54411514
Aragon
31.57089641
Portuguese
31.57546516
Sephardic_Jews
31.63464872
Italy_Abruzzo
Bronze Age 1-Northwest European That's what it looked like when the paper came out.
Distance to:
BR1_Hungary_2080BC
12.23933822
Norwegian
13.58254026
British_Isles
14.57440908
Swedish
14.86349219
Orkney
15.37242336
Orcadian
15.44038212
CEU30
15.44797074
English
15.51519900
Dutch
15.52395568
Irish
15.89749351
Kent
16.05700470
British
16.71362917
Argyll
16.73115059
Cornwall
17.66673145
Mixed_Germanic
18.39835319
German
21.41969888
French
21.74062097
French
25.52017633
Hungarians
28.34050282
Polish
29.08962874
Croat
30.79556624
Bosnian
31.23188333
Italy_Aosta_Valley
32.88461798
Mixed_Slav
32.89634326
Cataluna
33.53238703
Italy_Trentino
Bronze Age 2-I said French like at the time...a little off...however, most of the German samples are from Southwest Germany, aren't they? They're pretty "eastern French like". Makes sense this is my closest post Neolithic one.
Distance to:
BR2_Hungary_1180BC
10.88460381
Croat
11.92082631
German
12.23653546
Bosnian
12.39104919
Hungarians
13.14880620
Italy_Aosta_Valley
13.22641902
Italy_Trentino
13.77661787
French
13.83621697
French
14.46242934
Swiss_Italian
14.46478828
Mixed_Germanic
14.62904084
Italy_FriuliVG
15.43936851
Dutch
16.10874607
Macedonian
16.58814569
Italy_Veneto
17.02055228
Kent
17.35004611
CEU30
17.40313564
Italy_Piedmont
17.50972016
English
18.02390357
Pomak
18.15252324
British_Isles
18.44310440
Romanians
18.48424587
Italy_Lombardy
19.27215868
Cornwall
19.64846304
British
19.99509190
Bulgarians
Iron Age I: Less French like. Makes sense he's further for me.
Distance to:
IR1_Hungary_900BC
11.14675738
Croat
11.30375159
Bosnian
11.30410103
Hungarians
13.34266465
German
17.49178950
Mixed_Germanic
18.40167112
Macedonian
18.47205186
Pomak
19.03341010
Dutch
19.68381823
Romanians
21.31583214
Bulgarian
21.33708509
Gagauz
21.53371078
CEU30
21.74191804
Kent
21.77721057
English
21.88119512
Swedish
22.22464569
Italy_FriuliVG
22.28871239
Bulgarians
22.73545029
Norwegian
22.95780260
Argyll
23.21613017
British_Isles
23.23178857
French
23.44609818
Italy_Trentino
23.63692528
Italy_Aosta_Valley
23.70930830
French
23.84149114
Orkney
Here is mine:
https://i.imgur.com/BzlzfAr.png
https://i.imgur.com/COVixhD.png
... and mine, Thanks J :)
https://i.imgur.com/s6e6VGy.jpg
https://i.imgur.com/uVYaz4F.jpg
Distance to:Torziok12b
13.91970186
BR2_Hungary_1180BC
22.67436658
IR1_Hungary_900BC
30.79281085
NE1_Hungary_5230BC
32.97969072
NE7_Hungary_4420BC
33.99367735
NE3_Hungary_5130BC
34.75063453
BR1_Hungary_2080BC
35.51276672
CO1_Hungary_2810BC
36.36981716
NE4_Hungary_5130BC
36.85568070
KO2_Hungary_5640BC
37.80136109
NE2_Hungary_5140BC
41.07214871
NE6_Hungary_5090BC
42.16881905
NE5_Hungary_5120BC
54.34693000
KO1_Hungary_5710BC
41.8
IR1_Hungary_900BC
37.6
NE1_Hungary_5230BC
20.6
BR2_Hungary_1180BC
Target: Torziok12b
Distance: 2.3039% / 2.30394672
47.6
IR1_Hungary_900BC
39.2
NE1_Hungary_5230BC
6.0
BR2_Hungary_1180BC
3.6
KO1_Hungary_5710BC
3.2
KO2_Hungary_5640BC
0.4
NE5_Hungary_5120BC
Mine :
13.98373698 -- BR2_Hungary_1180BC
24.10326949 -- NE7_Hungary_4420BC
25.05234320 -- IR1_Hungary_900BC
27.85867190 -- BR1_Hungary_2080BC
31.54795873 -- NE3_Hungary_5130BC
31.59323662 -- CO1_Hungary_2810BC
32.05247416 -- NE2_Hungary_5140BC
34.37832748 -- NE4_Hungary_5130BC
34.38928903 -- NE1_Hungary_5230BC
38.30585856 -- KO2_Hungary_5640BC
40.39522992 -- NE6_Hungary_5090BC
40.80712315 -- NE5_Hungary_5120BC
52.67636852 -- KO1_Hungary_5710BC
Mine
Distance to: Dodecadk12bStuvanè
20.89569573 BR2_Hungary_1180BC
26.34686699 NE1_Hungary_5230BC
27.34741853 IR1_Hungary_900BC
33.27912258 KO2_Hungary_5640BC
33.67565144 NE3_Hungary_5130BC
35.58526099 NE4_Hungary_5130BC
36.07783253 CO1_Hungary_2810BC
39.10597397 NE6_Hungary_5090BC
39.74953962 NE2_Hungary_5140BC
40.62570984 NE5_Hungary_5120BC
40.80869515 NE7_Hungary_4420BC
42.58350620 BR1_Hungary_2080BC
60.56634709 KO1_Hungary_5710BC
https://scontent-mxp1-1.xx.fbcdn.net/v/t1.15752-9/90779145_836101946864759_681411112859598848_n.png? _nc_cat=101&_nc_sid=b96e70&_nc_ohc=dacP3NUKK48AX-aRVd2&_nc_ht=scontent-mxp1-1.xx&oh=95ceb51cc5386d9c6b00f0bf51b3cd3a&oe=5E9BFBD2
Palermo Trapani
21-03-20, 18:25
Hi Duarte: Not sure this is the place but how are things in Brazil? with the Covid-19 situation. Hope you, your family and country are holding up well.
Hi Duarte: Not sure this is the place but how are things in Brazil? with the Covid-19 situation. Hope you, your family and country are holding up well.
Hello Trapani. Me and the family are fine. We are in quarentine. The government of my State ordered the closure of State borders and the compulsory closure of trade and the halt of all non-essential activities at least for 15 days. State governors and city mayors in Brazil are aware of the seriousness of the situation and are taking steps that the federal government is not taking. We have a cognitive impaired president of the republic. Unfortunately, the free movement of people and goods between the states of the country has been interrupted. Difficult but necessary measure. I hope everything is fine with you and your family too. Thank you for your concern. This is a time when solidarity must prevail and all swoops left aside. A big hug and stay with God.
Sent from my iPhone using Eupedia Forum (http://r.tapatalk.com/byo?rid=89698)
Palermo Trapani
21-03-20, 22:47
Duarte: Good to hear that. We are in quasi-quarantine in my home state. You can go to the Grocery stores (Super Mercato's in Sicily when I was there!) and gas stations. Restaurants that can provide drive through service are open. Schools have been shut down almost 2 weeks. Is there a Covid-19 virus forum somewhere that people can check in to see how various Eupedia community members are doing? If there is one, give me a heads up. God Bless and keep you.
Population genomics of Bronze Age Eurasia
https://www.nature.com/articles/nature14507
csv files downloaded from y-str.org's google drive:
RISE00_Sope_Estonia_~2000_years,10.49,0.15,0,0,31. 63,56.79,0.94,0,0,0,0,0
RISE1_Oblaczkowo_Poland_4117_years,9.53,2.23,0,0,2 0.52,67.27,0,0,0,0,0.46,0
RISE109_Wojkowice_Poland_3544_years,3.35,0,0,0,31. 56,65.09,0,0,0,0,0,0
RISE139_Chociwell_Poland_3645_years,0.56,3.78,0,0, 22.47,70.41,2.78,0,0,0,0,0
RISE145_Polwica_Poland_3677_years,0,0,9.67,0,9.93, 66.99,0,0,0,0,13.42,0
RISE150_Przeclawice_Poland_3469_years,13.55,0,0,0. 5,33.51,50.2,0,0,0,0,1.75,0.5
RISE154_Szczepankowice_Poland_3522_years,17.57,0,0 ,0,34.72,47.71,0,0,0,0,0,0
RISE174_Oxie_7_Sweden_1521_years,8.8,0,0.53,0,35.1 5,55.15,0,0,0,0,0,0.37
RISE175_Abekas_I_Sweden_3025_years,0,0,0,0,44.56,5 5.44,0,0,0,0,0,0
RISE179_Abekas_I_Sweden_3556_years,4.21,0,0,0,40.4 2,55.37,0,0,0,0,0,0
RISE207_Angamollan_Sweden_3130_years,0,0,0,0,34.31 ,62.47,0,0,0,0,0,3.22
RISE21_Karlstrup_Denmark_3092_years,4.12,0,0,5.51, 46.97,43.4,0,0,0,0,0,0
RISE210_Angamollan_Sweden_3105_years,10.3,0,0,0,40 .72,43.49,0,0,0,0,5.5,0
RISE240_Sukhaya_Termista_I_Russia_4160_years,26.6, 1.31,0,0,7.93,64.16,0,0,0,0,0,0
RISE247_Szazhalombatta-Foldvar_Hungary_3372_years,0,0,0.19,0,52.39,27.43, 0,0,2.61,0,17.38,0
RISE254_Szazhalombatta-Foldvar_Hungary_3631_years,4.81,0,0.49,0,48.4,32.0 1,0,0,2.98,1.42,9.88,0
RISE276_Trundholm_mose_II_2525_years,4.46,0,0,0,36 .93,57.3,0,0,0,0,1.32,0
RISE349_Battonya_Voros_Oktober_Hungary_3588_years, 0,0,3.61,0,41.84,33.6,2.82,0,0,0,17.77,0.36
RISE371_Szoreg-C_Sziv_Utca_Hungary_3653_years,0,0,0,0,44.88,53.78 ,0,1.34,0,0,0,0
RISE373_Szoreg-C_Sziv_Utca_Hungary_3476_years,0,0,0,0.21,49.26,37 .31,0,0,0,0,13.22,0
RISE374_Szoreg-C_Sziv_Utca_Hungary_3402_years,0,0,0,0,39.96,34.85 ,0.68,0,1.95,0,20.5,2.06
RISE386_Bulanovo_Russia_3775_years,15.34,0.38,0,0, 24.56,55.73,0,0,0,0,3.31,0.68
RISE391_Tanabergen_II_Kazakhstan_3612_years,21.58, 0,1.04,0,23.99,46.8,0,0,0,0,6.6,0
RISE392_Stepnoe_VII_Russia_3626_years,12.29,0,0.39 ,0,30.03,57.18,0,0,0,0,0,0.11
RISE394_Bulanovo_Russia_3532_years,16.36,0,0,0,26. 29,56.64,0,0,0,0,0.71,0
RISE395_Bol'shekaraganskii_Russia_3540_years,14.51 ,0,0,0,30.54,54.26,0,0,0,0,0.16,0.52
RISE396_Kapan_Armenia_2879_years,21.01,0,0,0,6.81, 25.6,0,0,9.62,0,36.97,0
RISE397_Kapan_Armenia_2807_years,21.25,0,0,0,16.48 ,23.51,0,0,1.62,0,37.13,0.01
RISE407_Norabak_Armenia_2827_years,28.33,0,0.69,0, 12.13,23.78,0,0,2.51,0,31.83,0.73
RISE408_Norabak_Armenia_2908_years,28.13,0,0,0,11. 37,26.95,0.37,0,1.23,0,31.94,0
RISE412_Noratus_Armenia_2885_years,11.73,0,0,0,5.1 9,21.74,0,0,6.78,0,54.57,0
RISE413_Nerquin_Getashen_Armenia_3493_years,24.72, 0,2.77,0,18.39,20.9,0,3.74,6.87,0,22.6,0
RISE416_Nerquin_Getashen_Armenia_3259_years,34.36, 0,0,0,31.72,15.75,0,0,0,0,18.17,0
RISE42_Marbjerg_Denmark_3681_years,0,0,0,5.68,30.0 9,64.23,0,0,0,0,0,0
RISE423_Nerquin_Getashen_Armenia_3038_years,22.08, 0,1.29,1.34,9.55,23.37,0,0,7.32,0,33.39,1.67
RISE431_Leki_Male_Poland_3762_years,0.12,0,0,0,35. 39,58.83,0,0,0,0,5.67,0
RISE434_Tiefbrunn_Germany_4161_years,15.93,0,0,0,2 3.21,60.04,0,0,0,0,0,0.82
RISE435_Tiefbrunn_Germany_4094_years,1.49,0,0,0,21 .13,68.03,0,0,0,0,9.36,0
RISE436_Tiefbrunn_Germany_4124_years,4.85,0,0,0,33 .39,44.75,0,0.03,0,3.08,12.21,1.7
RISE446_Bergrheinfeld_Germany_4015_years,10.44,0,0 ,0,25.54,64.02,0,0,0,0,0,0
RISE47_Sebber_skole_Denmark_3153_years,4.99,0,0,0, 37.63,55.78,0,0,0,0,1.6,0
RISE471_Untermeitingen_Germany,2.99,0,0,0,48.42,32 .55,0,0,0,0,16.04,0
RISE479_Erd_4_Hungary_~2000_years,0,0,0.27,0,39.21 ,60.52,0,0,0,0,0,0
RISE480_Erd_4_Hungary,0,0,0,0,41.41,35.75,0,0,3.16 ,0,19.46,0.22
RISE483_Erd_4_Hungary,0,0,0,0,40.97,40.03,0,0,2.86 ,0,16.15,0
RISE484_Erd_4_Hungary,2.51,0,0,0,50.99,45.13,0,0,0 .92,0,0.45,0
RISE486_Remedello_di_Sotto_Italy_3595_years,0,0,0. 97,2.12,59.48,10.97,0,0,9.02,0,15.53,1.91
RISE487_Remedello_di_Sotto_Italy_4557_years,0,0,1. 36,0,75.55,12.12,0,0,0.84,0,9.88,0.24
RISE489_Remedello_di_Sotto_Italy_4185_years,0,0,0, 0,72.08,12.24,0,0,5.69,0,9.99,0
RISE492_Sabinka_2_Russia_2257_years,9.76,12.06,0,1 0.5,20.6,47.08,0,0,0,0,0,0
RISE493_Sabinka_2_Russia_3214_years,13.47,28.51,0, 0,7.07,37.85,2.69,0,0,9.09,0.12,1.2
RISE494_Sabinka_2_Russia_3081_years,21.35,1.64,0,0 ,22.77,54.16,0,0,0.01,0,0,0.07
RISE495_Arban_1_Russia,12.99,29.11,0,0,6.27,37.55, 0.92,0,0,12.94,0,0.22
RISE496_Arban_1_3070_years,17.38,15.68,0,0,13.51,5 0.77,0,0,0,2.18,0,0.48
RISE497_Arban_1_~2000_years,5.25,57.54,0,0,0,7.25, 0.67,0,0,28.7,0,0.59
RISE499_Bystrovka_Russia_~2000_years,17.6,11.54,0, 0,17.81,51.66,0,0,0,1.03,0,0.36
RISE500_Kytmanovo_Russia_~2000_years,14.67,0.33,0, 0.35,22.75,57.51,0.79,0,0,0,3.21,0.38
RISE502_Bystrovka_Russia_3140_years,17.68,18.85,0, 0,8.64,46.71,2.18,0.08,0,5.83,0,0.03
RISE503_Kytmanovo_Russia_3328_years,18.12,0,0,0,28 .78,52.95,0,0,0,0,0,0.14
RISE504_Kytmanovo_Russia_1208_years,9.42,34.33,0,2 .38,2.11,21.36,0,0,0,27.69,2.65,0.06
RISE505_Kytmanovo_Russia_3391_years,19.18,2.59,0,0 ,19.27,54.74,1.62,0,0,0,2.07,0.52
RISE507/8_River_Kuyum_Russia_4423_years,25.75,0,0,0,12.07, 61.65,0,0,0,0.18,0,0.34
RISE509_Bateni_Russia_4186_years,27.1,0.32,0,0.14, 6.17,65.35,0,0,0,0,0.8,0.12
RISE510_Bateni_Russia_4040_years,22.88,0.7,0,0,7.1 8,63.21,0,0.37,0,0,5.66,0
RISE511_Bateni_Russia_4224_years,26.06,2.96,0,0,2. 56,66.87,0,0,0,0,1.12,0.43
RISE512_Kytmanovo_Russia_3119_years,14.62,10.04,0, 4.29,8.31,62.54,0,0,0,0,0,0.21
RISE515_Verkhni_Askiz_Village_Russia_3810_years,19 .31,27.49,0,0,3.28,43.5,0,0,0,6.42,0,0
RISE516_Verkhni_Askiz_Village_Russia_3725_years,14 .53,33.15,0,0,0,42.19,2.43,0.1,0,7.6,0,0
RISE523_Kapova_cave_Russia_3192_years,15.74,10.93, 0,0,19.09,52.94,0.91,0,0,0,0,0.39
RISE524_Kapova_cave_Russia_~2000_years,6.2,16.45,0 ,0,27,45.1,0,0,2.13,2.09,0,1.03
RISE525_Kapova_cave_Russia,10.25,19.91,0.5,0,14.5, 51.93,0,0,0,2.64,0,0.27
RISE546_Temrta_IV_Russia_~2000_years,22.07,0,0,0,0 ,70.45,0,0,0,0,7.49,0
RISE547_Temrta_IV_Russia_4175_years,26.54,0,0,0,10 .09,63.38,0,0,0,0,0,0
RISE548_Temrta_IV_Russia_~2000_years,27.76,0,0.93, 0,3.91,65.86,0,0,0,0,1.35,0.19
RISE550_Peshany_V_Russia_4312_years,23.64,0.86,0,0 ,9.61,64.98,0.74,0,0,0,0,0.17
RISE552_Ulan_IV_Russia_3940_years,30.94,1.6,0,0.01 ,2.06,61.11,0.39,0,0,0,3.1,0.78
RISE553_Afontova_Gora_Russia_2731_years,8.7,6.44,0 ,0,22.08,49.77,0,0,0,7.85,5.16,0
RISE554_Afontova_Gora_Russia_2782_years,3.5,49.91, 0,1.04,2.74,28.28,0,0,0,14.54,0,0
RISE555_Stalingard_Quarry_Russia_4082_years,25.27, 0,2.15,0,7.91,64.67,0,0,0,0,0,0
RISE559_Augsburg_Germany,5.7,0,0,0,40.1,37.15,0,0, 0.19,0,16.87,0
RISE560_Augsburg_Germany,15.69,0,0,0,42.42,41.88,0 ,0,0,0,0,0
RISE562_Landau_an_der_Isar_Germany,19.88,0,0,0.22, 34.62,45.28,0,0,0,0,0,0
RISE563_Osterhofen-Altenmark_Germany,6.22,0,0,0,31.7,57.28,0.74,0.75, 0,0.02,3.29,0
RISE564_Osterhofen-Altenmark_Germany,0,0,0,0,42.81,40.34,0,0,0,0,15.9 7,0.88
RISE566_Knezeves_Czech_Republic,4.28,0,0,0,38.81,5 6.91,0,0,0,0,0,0
RISE567_Knezeves_Czech_Republic,10.74,0,0,0,17.83, 66.34,0,0,0,0,5.1,0
RISE568¬_Brandysek_Czech_Republic,0,0,0,0,22.05,7 2.67,0,0,0,0,5.28,0
RISE569_Brandysek_Czech_Republic_~2000_years,1.84, 0,0.54,0,32.28,57.63,0,0,0.38,0,7.29,0.05
RISE577_Velke_Prilepy_Czech_Republic_~2000_years,8 .22,0,0,0,37.41,47.46,0,0.03,0,0,6.6,0.28
RISE586_Moravska_Nova_Ves_Czech_Republic,5.1,0,0,0 ,47.08,45.72,0,0,0,0,1.5,0.61
RISE595_Velika_Gruda_Montenegro,0,0,0,0,42.76,31.9 2,0,0,4.11,0,21.2,0
RISE596_Velika_Gruda_Montenegro,13.18,0,0,1.56,44. 91,30.81,0,0.51,0,8.66,0.37,0
RISE598_Turlojiske_Lithuania_2590_years,0,1.29,0,5 .75,6.65,76.06,0,0,8.78,0,1.47,0
RISE600_Verh-Uimon_Russia,19.25,23.26,0,1.96,5.34,34.13,0,0,0,1 1.72,3.89,0.45
RISE601_Verh-Uimon_Russia~2000_years,15.51,22.43,0.63,0,6.8,34. 77,0.33,0,0,18.83,0.35,0.36
RISE602_Sary-Bel_Russia_~2000_years,19.15,22.99,0,0,3.05,37.05, 1.3,0,0,10.75,5.09,0.62
RISE61_Kyndelose_Denmark_4071_years,7.42,0,0,0,38. 76,48.91,0,0,0,0,3.34,1.57
RISE71_Falshoj_Denmark_3701_years,6.7,0,1.89,0,34. 77,50.7,0,0,0.16,0,5.78,0
RISE94_Viby_Sweden_4025_years,14.87,0,0,0,30.51,52 .6,0.29,0,0,0,1.49,0.24
RISE97_Fredriksberg_Sweden_3590_years,5.12,0,0,0,3 9.72,54.22,0,0,0.94,0,0,0
RISE98_L_Beddinge_56_Sweden_3736_years,10.01,0,0,0 ,34.38,54.13,0.7,0,0,0,0.01,0.76
My results:
https://i.imgur.com/LEFvuh5.png
https://i.imgur.com/96Av7yP.png
Distance to:
Torziok12b
10.96917955
RISE595_Velika_Gruda_Montenegro
11.75771236
RISE374_Szoreg-C_Sziv_Utca_Hungary_3402_years
12.45083130
RISE480_Erd_4_Hungary
12.62028130
RISE559_Augsburg_Germany
13.26930292
RISE349_Battonya_Voros_Oktober_Hungary_3588_years
16.04970093
RISE483_Erd_4_Hungary
16.17127082
RISE471_Untermeitingen_Germany
17.77607099
RISE254_Szazhalombatta-Foldvar_Hungary_3631_years
17.81109766
RISE564_Osterhofen-Altenmark_Germany
18.78406772
RISE247_Szazhalombatta-Foldvar_Hungary_3372_years
20.44845715
RISE373_Szoreg-C_Sziv_Utca_Hungary_3476_years
20.50083169
RISE436_Tiefbrunn_Germany_4124_years
23.54337486
RISE210_Angamollan_Sweden_3105_years
25.08684914
RISE577_Velke_Prilepy_Czech_Republic_~2000_years
25.89722379
RISE596_Velika_Gruda_Montenegro
26.17277020
RISE413_Nerquin_Getashen_Armenia_3493_years
27.98310562
RISE71_Falshoj_Denmark_3701_years
28.12560222
RISE560_Augsburg_Germany
28.26784392
RISE61_Kyndelose_Denmark_4071_years
29.39915135
RISE586_Moravska_Nova_Ves_Czech_Republic
29.67192613
RISE21_Karlstrup_Denmark_3092_years
29.67918799
RISE397_Kapan_Armenia_2807_years
30.73403325
RISE562_Landau_an_der_Isar_Germany
30.75923601
RISE486_Remedello_di_Sotto_Italy_3595_years
30.80383580
RISE391_Tanabergen_II_Kazakhstan_3612_years
Target: Torziok12b
Distance: 2.6335% / 2.63354561 | ADC: 0.5x
75.0
RISE595_Velika_Gruda_Montenegro
25.0
RISE413_Nerquin_Getashen_Armenia_3493_years
Target: Torziok12b
Distance: 2.0549% / 2.05492112 | ADC: 0.25x
70.8
RISE595_Velika_Gruda_Montenegro
28.2
RISE413_Nerquin_Getashen_Armenia_3493_years
1.0
RISE486_Remedello_di_Sotto_Italy_3595_years
Target: Torziok12b
Distance: 0.3844% / 0.38438840
32.4
RISE396_Kapan_Armenia_2879_years
27.4
RISE489_Remedello_di_Sotto_Italy_4185_years
12.4
RISE145_Polwica_Poland_3677_years
10.0
RISE595_Velika_Gruda_Montenegro
9.4
RISE486_Remedello_di_Sotto_Italy_3595_years
4.6
RISE349_Battonya_Voros_Oktober_Hungary_3588_years
2.6
RISE139_Chociwell_Poland_3645_years
0.8
RISE413_Nerquin_Getashen_Armenia_3493_years
0.2
RISE00_Sope_Estonia_~2000_years
0.2
RISE598_Turlojiske_Lithuania_2590_years
Palermo Trapani
22-03-20, 18:06
Jovialis: Another thanks. great work again. My Results.
Distance to:
PalermoTrapani
25.37506650
RISE413_Nerquin_Getashen_Armenia_3493_years
25.96165442
RISE397_Kapan_Armenia_2807_years
27.00923916
RISE595_Velika_Gruda_Montenegro
28.46466582
RISE423_Nerquin_Getashen_Armenia_3038_years
29.09897421
RISE374_Szoreg-C_Sziv_Utca_Hungary_3402_years
30.16290934
RISE480_Erd_4_Hungary
30.59502737
RISE349_Battonya_Voros_Oktober_Hungary_3588_years
31.02612125
RISE396_Kapan_Armenia_2879_years
31.90839545
RISE407_Norabak_Armenia_2827_years
32.12853093
RISE247_Szazhalombatta-Foldvar_Hungary_3372_years
32.17603145
RISE559_Augsburg_Germany
33.33426915
RISE471_Untermeitingen_Germany
33.35955186
RISE416_Nerquin_Getashen_Armenia_3259_years
33.84528623
RISE408_Norabak_Armenia_2908_years
34.24732836
RISE486_Remedello_di_Sotto_Italy_3595_years
34.71115383
RISE483_Erd_4_Hungary
35.18721927
RISE254_Szazhalombatta-Foldvar_Hungary_3631_years
36.32083424
RISE412_Noratus_Armenia_2885_years
36.52762379
RISE564_Osterhofen-Altenmark_Germany
38.37352603
RISE373_Szoreg-C_Sziv_Utca_Hungary_3476_years
39.31965412
RISE436_Tiefbrunn_Germany_4124_years
41.97391928
RISE596_Velika_Gruda_Montenegro
43.15351898
RISE210_Angamollan_Sweden_3105_years
44.65242995
RISE577_Velke_Prilepy_Czech_Republic_~2000_years
46.38484882
RISE391_Tanabergen_II_Kazakhstan_3612_years
Same distances as above in plain text
Distance to: PalermoTrapani
25.37506650 RISE413_Nerquin_Getashen_Armenia_3493_years
25.96165442 RISE397_Kapan_Armenia_2807_years
27.00923916 RISE595_Velika_Gruda_Montenegro
28.46466582 RISE423_Nerquin_Getashen_Armenia_3038_years
29.09897421 RISE374_Szoreg-C_Sziv_Utca_Hungary_3402_years
30.16290934 RISE480_Erd_4_Hungary
30.59502737 RISE349_Battonya_Voros_Oktober_Hungary_3588_years
31.02612125 RISE396_Kapan_Armenia_2879_years
31.90839545 RISE407_Norabak_Armenia_2827_years
32.12853093 RISE247_Szazhalombatta-Foldvar_Hungary_3372_years
32.17603145 RISE559_Augsburg_Germany
33.33426915 RISE471_Untermeitingen_Germany
33.35955186 RISE416_Nerquin_Getashen_Armenia_3259_years
33.84528623 RISE408_Norabak_Armenia_2908_years
34.24732836 RISE486_Remedello_di_Sotto_Italy_3595_years
34.71115383 RISE483_Erd_4_Hungary
35.18721927 RISE254_Szazhalombatta-Foldvar_Hungary_3631_years
36.32083424 RISE412_Noratus_Armenia_2885_years
36.52762379 RISE564_Osterhofen-Altenmark_Germany
38.37352603 RISE373_Szoreg-C_Sziv_Utca_Hungary_3476_years
39.31965412 RISE436_Tiefbrunn_Germany_4124_years
41.97391928 RISE596_Velika_Gruda_Montenegro
43.15351898 RISE210_Angamollan_Sweden_3105_years
44.65242995 RISE577_Velke_Prilepy_Czech_Republic_~2000_years
46.38484882 RISE391_Tanabergen_II_Kazakhstan_3612_years
Target: PalermoTrapani
Distance: 7.6018% / 7.60180664 | ADC: 0.5x
42.2
RISE486_Remedello_di_Sotto_Italy_3595_years
32.6
RISE412_Noratus_Armenia_2885_years
25.2
RISE413_Nerquin_Getashen_Armenia_3493_years
Target: PalermoTrapani
Distance: 6.9708% / 6.97076848 | ADC: 0.25x
45.4
RISE486_Remedello_di_Sotto_Italy_3595_years
38.4
RISE412_Noratus_Armenia_2885_years
16.2
RISE413_Nerquin_Getashen_Armenia_3493_years
Mine
Distance to: Dodecadk12bStuvanè
14.53850405 RISE595_Velika_Gruda_Montenegro
16.06446389 RISE374_Szoreg-C_Sziv_Utca_Hungary_3402_years
17.00768062 RISE480_Erd_4_Hungary
18.18638502 RISE349_Battonya_Voros_Oktober_Hungary_3588_years
19.13593740 RISE559_Augsburg_Germany
21.27950892 RISE483_Erd_4_Hungary
21.64448660 RISE471_Untermeitingen_Germany
22.32817950 RISE247_Szazhalombatta-Foldvar_Hungary_3372_years
23.27568259 RISE564_Osterhofen-Altenmark_Germany
23.79411062 RISE254_Szazhalombatta-Foldvar_Hungary_3631_years
25.95247002 RISE413_Nerquin_Getashen_Armenia_3493_years
25.97861813 RISE373_Szoreg-C_Sziv_Utca_Hungary_3476_years
26.31253124 RISE436_Tiefbrunn_Germany_4124_years
27.62139026 RISE397_Kapan_Armenia_2807_years
30.60950343 RISE210_Angamollan_Sweden_3105_years
30.83596115 RISE423_Nerquin_Getashen_Armenia_3038_years
31.36453730 RISE486_Remedello_di_Sotto_Italy_3595_years
31.71503114 RISE577_Velke_Prilepy_Czech_Republic_~2000_years
32.29281654 RISE596_Velika_Gruda_Montenegro
33.20431297 RISE416_Nerquin_Getashen_Armenia_3259_years
33.25275628 RISE407_Norabak_Armenia_2827_years
33.44666052 RISE396_Kapan_Armenia_2879_years
34.02340224 RISE408_Norabak_Armenia_2908_years
34.18752697 RISE71_Falshoj_Denmark_3701_years
34.90507126 RISE61_Kyndelose_Denmark_4071_years
https://scontent-mxp1-1.xx.fbcdn.net/v/t1.15752-9/90462314_644600423027973_5816496564830470144_n.png ?_nc_cat=107&_nc_sid=b96e70&_nc_ohc=uHutFDcKda8AX9K2gcY&_nc_ht=scontent-mxp1-1.xx&oh=ba3700c0d998ff43048461f6795b0265&oe=5E9C822D
Mine:
Distance to:
Angela
14.91075786
RISE595_Velika_Gruda_Montenegro
17.85647782
RISE247_Szazhalombatta-Foldvar_Hungary_3372_years
18.02549306
RISE374_Szoreg-C_Sziv_Utca_Hungary_3402_years
18.54765753
RISE349_Battonya_Voros_Oktober_Hungary_3588_years
18.88581478
RISE480_Erd_4_Hungary
19.59409605
RISE471_Untermeitingen_Germany
21.25674716
RISE559_Augsburg_Germany
22.69622215
RISE254_Szazhalombatta-Foldvar_Hungary_3631_years
24.01657136
RISE483_Erd_4_Hungary
24.16844637
RISE486_Remedello_di_Sotto_Italy_3595_years
24.90248984
RISE564_Osterhofen-Altenmark_Germany
25.16962852
RISE373_Szoreg-C_Sziv_Utca_Hungary_3476_years
30.86257442
RISE413_Nerquin_Getashen_Armenia_3493_years
31.07722478
RISE436_Tiefbrunn_Germany_4124_years
31.93837817
RISE397_Kapan_Armenia_2807_years
32.14552224
RISE596_Velika_Gruda_Montenegro
33.04597101
RISE416_Nerquin_Getashen_Armenia_3259_years
33.26787189
RISE210_Angamollan_Sweden_3105_years
35.52975091
RISE577_Velke_Prilepy_Czech_Republic_~2000_years
36.42877983
RISE489_Remedello_di_Sotto_Italy_4185_years
36.91294217
RISE423_Nerquin_Getashen_Armenia_3038_years
37.26521300
RISE560_Augsburg_Germany
37.43568351
RISE21_Karlstrup_Denmark_3092_years
37.57242207
RISE586_Moravska_Nova_Ves_Czech_Republic
38.09666652
RISE407_Norabak_Armenia_2827_years
Target: Angela
Distance: 2.9786% / 2.97856326 | ADC: 0.25x
42.0
RISE486_Remedello_di_Sotto_Italy_3595_years
29.6
RISE595_Velika_Gruda_Montenegro
15.8
RISE397_Kapan_Armenia_2807_years
12.6
RISE412_Noratus_Armenia_2885_years
Target: Angela
Distance: 1.2343% / 1.23429707
31.0
RISE412_Noratus_Armenia_2885_years
23.8
RISE486_Remedello_di_Sotto_Italy_3595_years
16.4
RISE487_Remedello_di_Sotto_Italy_4557_years
14.2
RISE349_Battonya_Voros_Oktober_Hungary_3588_years
8.2
RISE489_Remedello_di_Sotto_Italy_4185_years
4.2
RISE413_Nerquin_Getashen_Armenia_3493_years
2.2
RISE145_Polwica_Poland_3677_years
Remedello jumps to the top in the "mixing", although the individual match isn't great because it's got the most EEF.
All of the samples at Vahaduo, plus all the recents ones provided by Jovialis.
I'm surprised how close I am, relatively speaking, to Balkans Neolithic and Early Bronze Age Sicily, Germany BB too. By the time the Late Bronze Age rolls around I'm very far from the Sicilian samples. As I've always thought, the migration from the East, much of it by way of Greece perhaps, was already present from the late Bronze Age.
Distance to:
Angela
5.88072274
I3313_Balkans_BronzeAge
6.32650773
I8475_NE_Iberia_RomP_atypical
6.32865705
I9123_Bronze_Age_Armenoi_Crete
6.44030279
R1285_Medieval_Era_Cancelleria
6.46676117
Szolad43
6.53661992
R1287_Medieval_Era_Cancelleria
7.03668956
I3499_NWBalkans_PannonianPlain_Vucedol_EN
7.04472143
I1979_Bronze_Age_Beaker_Northern_Italy
7.09619616
I2176_Balkans_BronzeAge
7.14881808
R111_Imperial_Era_Via_Paisiello_Necropolis
7.44927513
I2175_Balkans_BronzeAge
7.88178279
Collegno36
8.15250268
ScythianSouthernMoldova_scy197
8.36475343
Szolad28
8.77719773
Bul10_Balkans_BronzeAge
8.92554760
R1016_Iron_Age_Castel_di_Decima
8.94997207
Bul6_Balkans_BronzeAge
9.15645128
I4331_Balkans_BronzeAge
9.17988562
Szolad31
9.21016829
Collegno23
9.30224167
R1283_Medieval_Era_Cancelleria
9.30524583
ScythianSouthernMoldova_scy192
9.47417543
R33_Late_Antiquity_Mausole_di_Augusto
9.47641282
R1015_Iron_Age_Veio_Grotta_Gramiccia
9.54090667
ScythianMoldova_SCY300
9.59307563
I4332_Balkans_BronzeAge
9.59990625
R120_Late_Antiquity_S_Ercolano_Necropolis_Ostia
9.74779462
R36_Late_Antiquity_Celio
9.81179392
R110_Late_Antiquity_Crypta_Balbi
9.81848257
R1_Iron_Age_Protovillanovan_Martinsicuro
10.12126968
I2520_Balkans_BronzeAge
10.41360648
I12516_SE_Iberia_c.10-16CE
10.41424025
Szolad36
10.57665354
R1021_Iron_Age_Boville_Ernica
10.62623169
I0706_Balkans_Neolithic
10.65957316
R118_Late_Antiquity_S_Ercolano_Necropolis_Ostia
10.77751827
R473_Iron_Age_Civitavecchia
10.82190833
R474_Iron_Age_Civitavecchia
11.07102073
I3124_Sicily_EBA_Buffa_Cave_II
11.25718437
R55_Medieval_Era_Villa_Magna
11.46205915
I4054_SE_Iberia_c.3-4CE
11.48748885
R113_Imperial_Era_Via_Paisiello_Necropolis
12.03847582
Szolad19
12.06772970
Bavaria_BB_II5524
12.09009512
CrusaderKnightTuscanLebanonCrusaderSI41
12.14752238
HispanoRomanTaifaofValencia_I12647
12.37687360
I1295_Malak_Preslavets
12.40415656
I3809_SE_Iberia_c.10-16CE
12.44980321
I8343_NE_Iberia_Late_RomP
12.45045381
I12221_Sardinia_EarlyMedieval_Grotta_Colombi
Not bad...
Target: Angela
Distance: 1.0005% / 1.00045631 | ADC: 0.25x
41.6
I3313_Balkans_BronzeAge
14.4
R113_Imperial_Era_Via_Paisiello_Necropolis
13.4
R1287_Medieval_Era_Cancelleria
10.4
I0706_Balkans_Neolithic
8.6
I3151_Trypillia
7.6
I9123_Bronze_Age_Armenoi_Crete
1.8
I2175_Balkans_BronzeAge
1.2
R1016_Iron_Age_Castel_di_Decima
1.0
I4936_n/a
Target: Angela
Distance: 1.8906% / 1.89061820 | ADC: 0.5x
48.0
I3313_Balkans_BronzeAge
15.8
R1287_Medieval_Era_Cancelleria
15.2
I9123_Bronze_Age_Armenoi_Crete
14.2
I0706_Balkans_Neolithic
6.8
R1285_Medieval_Era_Cancelleria
Population genomics of Bronze Age Eurasia
https://www.nature.com/articles/nature14507
csv files downloaded from y-str.org's google drive:
RISE00_Sope_Estonia_~2000_years,10.49,0.15,0,0,31. 63,56.79,0.94,0,0,0,0,0
RISE1_Oblaczkowo_Poland_4117_years,9.53,2.23,0,0,2 0.52,67.27,0,0,0,0,0.46,0
RISE109_Wojkowice_Poland_3544_years,3.35,0,0,0,31. 56,65.09,0,0,0,0,0,0
RISE139_Chociwell_Poland_3645_years,0.56,3.78,0,0, 22.47,70.41,2.78,0,0,0,0,0
RISE145_Polwica_Poland_3677_years,0,0,9.67,0,9.93, 66.99,0,0,0,0,13.42,0
RISE150_Przeclawice_Poland_3469_years,13.55,0,0,0. 5,33.51,50.2,0,0,0,0,1.75,0.5
RISE154_Szczepankowice_Poland_3522_years,17.57,0,0 ,0,34.72,47.71,0,0,0,0,0,0
RISE174_Oxie_7_Sweden_1521_years,8.8,0,0.53,0,35.1 5,55.15,0,0,0,0,0,0.37
RISE175_Abekas_I_Sweden_3025_years,0,0,0,0,44.56,5 5.44,0,0,0,0,0,0
RISE179_Abekas_I_Sweden_3556_years,4.21,0,0,0,40.4 2,55.37,0,0,0,0,0,0
RISE207_Angamollan_Sweden_3130_years,0,0,0,0,34.31 ,62.47,0,0,0,0,0,3.22
RISE21_Karlstrup_Denmark_3092_years,4.12,0,0,5.51, 46.97,43.4,0,0,0,0,0,0
RISE210_Angamollan_Sweden_3105_years,10.3,0,0,0,40 .72,43.49,0,0,0,0,5.5,0
RISE240_Sukhaya_Termista_I_Russia_4160_years,26.6, 1.31,0,0,7.93,64.16,0,0,0,0,0,0
RISE247_Szazhalombatta-Foldvar_Hungary_3372_years,0,0,0.19,0,52.39,27.43, 0,0,2.61,0,17.38,0
RISE254_Szazhalombatta-Foldvar_Hungary_3631_years,4.81,0,0.49,0,48.4,32.0 1,0,0,2.98,1.42,9.88,0
RISE276_Trundholm_mose_II_2525_years,4.46,0,0,0,36 .93,57.3,0,0,0,0,1.32,0
RISE349_Battonya_Voros_Oktober_Hungary_3588_years, 0,0,3.61,0,41.84,33.6,2.82,0,0,0,17.77,0.36
RISE371_Szoreg-C_Sziv_Utca_Hungary_3653_years,0,0,0,0,44.88,53.78 ,0,1.34,0,0,0,0
RISE373_Szoreg-C_Sziv_Utca_Hungary_3476_years,0,0,0,0.21,49.26,37 .31,0,0,0,0,13.22,0
RISE374_Szoreg-C_Sziv_Utca_Hungary_3402_years,0,0,0,0,39.96,34.85 ,0.68,0,1.95,0,20.5,2.06
RISE386_Bulanovo_Russia_3775_years,15.34,0.38,0,0, 24.56,55.73,0,0,0,0,3.31,0.68
RISE391_Tanabergen_II_Kazakhstan_3612_years,21.58, 0,1.04,0,23.99,46.8,0,0,0,0,6.6,0
RISE392_Stepnoe_VII_Russia_3626_years,12.29,0,0.39 ,0,30.03,57.18,0,0,0,0,0,0.11
RISE394_Bulanovo_Russia_3532_years,16.36,0,0,0,26. 29,56.64,0,0,0,0,0.71,0
RISE395_Bol'shekaraganskii_Russia_3540_years,14.51 ,0,0,0,30.54,54.26,0,0,0,0,0.16,0.52
RISE396_Kapan_Armenia_2879_years,21.01,0,0,0,6.81, 25.6,0,0,9.62,0,36.97,0
RISE397_Kapan_Armenia_2807_years,21.25,0,0,0,16.48 ,23.51,0,0,1.62,0,37.13,0.01
RISE407_Norabak_Armenia_2827_years,28.33,0,0.69,0, 12.13,23.78,0,0,2.51,0,31.83,0.73
RISE408_Norabak_Armenia_2908_years,28.13,0,0,0,11. 37,26.95,0.37,0,1.23,0,31.94,0
RISE412_Noratus_Armenia_2885_years,11.73,0,0,0,5.1 9,21.74,0,0,6.78,0,54.57,0
RISE413_Nerquin_Getashen_Armenia_3493_years,24.72, 0,2.77,0,18.39,20.9,0,3.74,6.87,0,22.6,0
RISE416_Nerquin_Getashen_Armenia_3259_years,34.36, 0,0,0,31.72,15.75,0,0,0,0,18.17,0
RISE42_Marbjerg_Denmark_3681_years,0,0,0,5.68,30.0 9,64.23,0,0,0,0,0,0
RISE423_Nerquin_Getashen_Armenia_3038_years,22.08, 0,1.29,1.34,9.55,23.37,0,0,7.32,0,33.39,1.67
RISE431_Leki_Male_Poland_3762_years,0.12,0,0,0,35. 39,58.83,0,0,0,0,5.67,0
RISE434_Tiefbrunn_Germany_4161_years,15.93,0,0,0,2 3.21,60.04,0,0,0,0,0,0.82
RISE435_Tiefbrunn_Germany_4094_years,1.49,0,0,0,21 .13,68.03,0,0,0,0,9.36,0
RISE436_Tiefbrunn_Germany_4124_years,4.85,0,0,0,33 .39,44.75,0,0.03,0,3.08,12.21,1.7
RISE446_Bergrheinfeld_Germany_4015_years,10.44,0,0 ,0,25.54,64.02,0,0,0,0,0,0
RISE47_Sebber_skole_Denmark_3153_years,4.99,0,0,0, 37.63,55.78,0,0,0,0,1.6,0
RISE471_Untermeitingen_Germany,2.99,0,0,0,48.42,32 .55,0,0,0,0,16.04,0
RISE479_Erd_4_Hungary_~2000_years,0,0,0.27,0,39.21 ,60.52,0,0,0,0,0,0
RISE480_Erd_4_Hungary,0,0,0,0,41.41,35.75,0,0,3.16 ,0,19.46,0.22
RISE483_Erd_4_Hungary,0,0,0,0,40.97,40.03,0,0,2.86 ,0,16.15,0
RISE484_Erd_4_Hungary,2.51,0,0,0,50.99,45.13,0,0,0 .92,0,0.45,0
RISE486_Remedello_di_Sotto_Italy_3595_years,0,0,0. 97,2.12,59.48,10.97,0,0,9.02,0,15.53,1.91
RISE487_Remedello_di_Sotto_Italy_4557_years,0,0,1. 36,0,75.55,12.12,0,0,0.84,0,9.88,0.24
RISE489_Remedello_di_Sotto_Italy_4185_years,0,0,0, 0,72.08,12.24,0,0,5.69,0,9.99,0
RISE492_Sabinka_2_Russia_2257_years,9.76,12.06,0,1 0.5,20.6,47.08,0,0,0,0,0,0
RISE493_Sabinka_2_Russia_3214_years,13.47,28.51,0, 0,7.07,37.85,2.69,0,0,9.09,0.12,1.2
RISE494_Sabinka_2_Russia_3081_years,21.35,1.64,0,0 ,22.77,54.16,0,0,0.01,0,0,0.07
RISE495_Arban_1_Russia,12.99,29.11,0,0,6.27,37.55, 0.92,0,0,12.94,0,0.22
RISE496_Arban_1_3070_years,17.38,15.68,0,0,13.51,5 0.77,0,0,0,2.18,0,0.48
RISE497_Arban_1_~2000_years,5.25,57.54,0,0,0,7.25, 0.67,0,0,28.7,0,0.59
RISE499_Bystrovka_Russia_~2000_years,17.6,11.54,0, 0,17.81,51.66,0,0,0,1.03,0,0.36
RISE500_Kytmanovo_Russia_~2000_years,14.67,0.33,0, 0.35,22.75,57.51,0.79,0,0,0,3.21,0.38
RISE502_Bystrovka_Russia_3140_years,17.68,18.85,0, 0,8.64,46.71,2.18,0.08,0,5.83,0,0.03
RISE503_Kytmanovo_Russia_3328_years,18.12,0,0,0,28 .78,52.95,0,0,0,0,0,0.14
RISE504_Kytmanovo_Russia_1208_years,9.42,34.33,0,2 .38,2.11,21.36,0,0,0,27.69,2.65,0.06
RISE505_Kytmanovo_Russia_3391_years,19.18,2.59,0,0 ,19.27,54.74,1.62,0,0,0,2.07,0.52
RISE507/8_River_Kuyum_Russia_4423_years,25.75,0,0,0,12.07, 61.65,0,0,0,0.18,0,0.34
RISE509_Bateni_Russia_4186_years,27.1,0.32,0,0.14, 6.17,65.35,0,0,0,0,0.8,0.12
RISE510_Bateni_Russia_4040_years,22.88,0.7,0,0,7.1 8,63.21,0,0.37,0,0,5.66,0
RISE511_Bateni_Russia_4224_years,26.06,2.96,0,0,2. 56,66.87,0,0,0,0,1.12,0.43
RISE512_Kytmanovo_Russia_3119_years,14.62,10.04,0, 4.29,8.31,62.54,0,0,0,0,0,0.21
RISE515_Verkhni_Askiz_Village_Russia_3810_years,19 .31,27.49,0,0,3.28,43.5,0,0,0,6.42,0,0
RISE516_Verkhni_Askiz_Village_Russia_3725_years,14 .53,33.15,0,0,0,42.19,2.43,0.1,0,7.6,0,0
RISE523_Kapova_cave_Russia_3192_years,15.74,10.93, 0,0,19.09,52.94,0.91,0,0,0,0,0.39
RISE524_Kapova_cave_Russia_~2000_years,6.2,16.45,0 ,0,27,45.1,0,0,2.13,2.09,0,1.03
RISE525_Kapova_cave_Russia,10.25,19.91,0.5,0,14.5, 51.93,0,0,0,2.64,0,0.27
RISE546_Temrta_IV_Russia_~2000_years,22.07,0,0,0,0 ,70.45,0,0,0,0,7.49,0
RISE547_Temrta_IV_Russia_4175_years,26.54,0,0,0,10 .09,63.38,0,0,0,0,0,0
RISE548_Temrta_IV_Russia_~2000_years,27.76,0,0.93, 0,3.91,65.86,0,0,0,0,1.35,0.19
RISE550_Peshany_V_Russia_4312_years,23.64,0.86,0,0 ,9.61,64.98,0.74,0,0,0,0,0.17
RISE552_Ulan_IV_Russia_3940_years,30.94,1.6,0,0.01 ,2.06,61.11,0.39,0,0,0,3.1,0.78
RISE553_Afontova_Gora_Russia_2731_years,8.7,6.44,0 ,0,22.08,49.77,0,0,0,7.85,5.16,0
RISE554_Afontova_Gora_Russia_2782_years,3.5,49.91, 0,1.04,2.74,28.28,0,0,0,14.54,0,0
RISE555_Stalingard_Quarry_Russia_4082_years,25.27, 0,2.15,0,7.91,64.67,0,0,0,0,0,0
RISE559_Augsburg_Germany,5.7,0,0,0,40.1,37.15,0,0, 0.19,0,16.87,0
RISE560_Augsburg_Germany,15.69,0,0,0,42.42,41.88,0 ,0,0,0,0,0
RISE562_Landau_an_der_Isar_Germany,19.88,0,0,0.22, 34.62,45.28,0,0,0,0,0,0
RISE563_Osterhofen-Altenmark_Germany,6.22,0,0,0,31.7,57.28,0.74,0.75, 0,0.02,3.29,0
RISE564_Osterhofen-Altenmark_Germany,0,0,0,0,42.81,40.34,0,0,0,0,15.9 7,0.88
RISE566_Knezeves_Czech_Republic,4.28,0,0,0,38.81,5 6.91,0,0,0,0,0,0
RISE567_Knezeves_Czech_Republic,10.74,0,0,0,17.83, 66.34,0,0,0,0,5.1,0
RISE568¬_Brandysek_Czech_Republic,0,0,0,0,22.05,7 2.67,0,0,0,0,5.28,0
RISE569_Brandysek_Czech_Republic_~2000_years,1.84, 0,0.54,0,32.28,57.63,0,0,0.38,0,7.29,0.05
RISE577_Velke_Prilepy_Czech_Republic_~2000_years,8 .22,0,0,0,37.41,47.46,0,0.03,0,0,6.6,0.28
RISE586_Moravska_Nova_Ves_Czech_Republic,5.1,0,0,0 ,47.08,45.72,0,0,0,0,1.5,0.61
RISE595_Velika_Gruda_Montenegro,0,0,0,0,42.76,31.9 2,0,0,4.11,0,21.2,0
RISE596_Velika_Gruda_Montenegro,13.18,0,0,1.56,44. 91,30.81,0,0.51,0,8.66,0.37,0
RISE598_Turlojiske_Lithuania_2590_years,0,1.29,0,5 .75,6.65,76.06,0,0,8.78,0,1.47,0
RISE600_Verh-Uimon_Russia,19.25,23.26,0,1.96,5.34,34.13,0,0,0,1 1.72,3.89,0.45
RISE601_Verh-Uimon_Russia~2000_years,15.51,22.43,0.63,0,6.8,34. 77,0.33,0,0,18.83,0.35,0.36
RISE602_Sary-Bel_Russia_~2000_years,19.15,22.99,0,0,3.05,37.05, 1.3,0,0,10.75,5.09,0.62
RISE61_Kyndelose_Denmark_4071_years,7.42,0,0,0,38. 76,48.91,0,0,0,0,3.34,1.57
RISE71_Falshoj_Denmark_3701_years,6.7,0,1.89,0,34. 77,50.7,0,0,0.16,0,5.78,0
RISE94_Viby_Sweden_4025_years,14.87,0,0,0,30.51,52 .6,0.29,0,0,0,1.49,0.24
RISE97_Fredriksberg_Sweden_3590_years,5.12,0,0,0,3 9.72,54.22,0,0,0.94,0,0,0
RISE98_L_Beddinge_56_Sweden_3736_years,10.01,0,0,0 ,34.38,54.13,0.7,0,0,0,0.01,0.76
Thanks Jovialis. My results with source data above:
https://i.imgur.com/s1ckUiR.png
https://i.imgur.com/PRvBbqv.png
Here are my results with all samples for Dodecad K12b Ancient, to date:
Distance to:
Jovialis
3.02061252
R973_Medieval_Era_Tivoli_Palazzo_Cianti
3.28542235
R835_Imperial_Era_Civitanova_Marche
3.34644588
R54_Medieval_Era_Villa_Magna
3.41667967
CrusaderKnightApuliaAbruzzoLebanonCrusaderSI53
3.43008746
R121_Late_Antiquity_S_Ercolano_Necropolis_Ostia
3.70737104
R836_Imperial_Era_Civitanova_Marche
3.83489244
R970_Medieval_Era_Tivoli_Palazzo_Cianti
3.85554147
Collegno121
4.06829202
R60_Medieval_Era_Villa_Magna
4.18988067
R969_Medieval_Era_Tivoli_Palazzo_Cianti
4.49402937
R1290_Medieval_Era_Villa_Magna
4.91924791
R122_Late_Antiquity_S_Ercolano_Necropolis_Ostia
4.94132573
R49_Imperial_Era_Centocelle_Necropolis
4.96690044
R64_Medieval_Era_Villa_Magna
5.28137293
R56_Medieval_Era_Villa_Magna
5.77595879
R117_Late_Antiquity_S_Ercolano_Necropolis_Ostia
6.07903775
R131_Imperial_Era_Via_Paisiello_Necropolis
6.10611169
R52_Medieval_Era_Villa_Magna
6.12550406
R113_Imperial_Era_Via_Paisiello_Necropolis
6.31027733
R35_Late_Antiquity_Celio
6.31831465
R59_Medieval_Era_Villa_Magna
6.32038765
R47_Imperial_Era_Centocelle_Necropolis
6.33613447
R65_Medieval_Era_Villa_Magna
6.55681325
R1544_Imperial_Era_Necropolis_of_Monte_Agnese
6.83668048
R58_Medieval_Era_Villa_Magna
Target: Jovialis
Distance: 0.3729% / 0.37294830 | ADC: 0.25x
30.8
R970_Medieval_Era_Tivoli_Palazzo_Cianti
21.2
R973_Medieval_Era_Tivoli_Palazzo_Cianti
19.6
R121_Late_Antiquity_S_Ercolano_Necropolis_Ostia
19.0
R836_Imperial_Era_Civitanova_Marche
9.4
CrusaderKnightApuliaAbruzzoLebanonCrusaderSI53
Here are my results with all samples, sans post-Iron Age Roman, Crusader, Collegno, and Szolad samples:
Distance to:
Jovialis
7.16297424
ScythianSouthernMoldova_scy192
7.54746315
R437_Iron_Age_Palestrina_Selicata
9.30852835
ScythianMoldova_SCY300
9.40424372
I4054_SE_Iberia_c.3-4CE
10.01049949
ScythianSouthernMoldova_scy197
11.09522420
ScythianSouthernMoldova_scy305
11.65650033
I3499_NWBalkans_PannonianPlain_Vucedol_EN
13.15944908
I9123_Bronze_Age_Armenoi_Crete
13.23106950
I12220_Sardinia_LateAntiquity_Grotta_Colombi
14.30092305
I6491_NE_Iberia_RomP
14.42027739
R1_Iron_Age_Protovillanovan_Martinsicuro
14.50908681
I9041_Bronze_Age_Mycenaean_Galatas_Apatheia_Pelopo nnese
14.54204937
R850_Iron_Age_Ardea
14.73361802
I7424_SE_Iberia_c.10-16CE
14.80892636
I7499_SE_Iberia_c.10-16CE
15.44085814
I8475_NE_Iberia_RomP_atypical
15.67710432
I8205_NE_Iberia_Hel_Empuries2
15.93528475
I3808_SE_Iberia_c.10-16CE
15.98208372
I7500_SE_Iberia_c.10-16CE
16.04018080
Bul6_Balkans_BronzeAge
16.07932213
I9033_Bronze_Age_Mycenaean_Peristeria_Tryfilia_Pel oponnese
16.14707094
I12030_NE_Iberia_c.6CE_PL
16.24442366
I3313_Balkans_BronzeAge
16.46734344
I10366_Sardinia_IA_Usellus
16.47135089
I3983_SE_Iberia_c.3-4CE
https://i.imgur.com/okqAfVB.png
my results using all the samples ancients , medieval etc
Distance to:
Torziok12b
1.89726118
R55_Medieval_Era_Villa_Magna
4.40054542
I4331_Balkans_BronzeAge
4.63928874
R105_Late_Antiquity_Crypta_Balbi
4.65249395
R474_Iron_Age_Civitavecchia
4.82277928
Collegno23
4.86300319
R1_Iron_Age_Protovillanovan_Martinsicuro
5.02880702
I4332_Balkans_BronzeAge
5.21492090
R33_Late_Antiquity_Mausole_di_Augusto
6.00532264
Szolad28
6.60955369
Collegno49
6.88000000
I3499_NWBalkans_PannonianPlain_Vucedol_EN
6.93799683
Collegno94
7.28685117
R1221_Medieval_Era_Cancelleria
7.57478052
I3313_Balkans_BronzeAge
7.62312272
Collegno57
7.70831369
Collegno36
7.72828571
Collegno47
7.79092421
GironaSantJuliadeRamis_I10853
7.88022842
R61_Medieval_Era_Villa_Magna
7.89459942
Bavaria_BB_II5524
7.93197958
Szolad45
8.04563857
R110_Late_Antiquity_Crypta_Balbi
8.04795626
I3866_NE_Iberia_c.6-8CE_ES
8.04854024
Szolad43
8.12515231
Szolad27
I added all the recent ones as well
1.89 distant match with sample R55 seems very close
I am regular also with the updates so I remain faithful to my Lombard Szolad/Collegno fellows and to the unmistakable late Romans and Balkan metal age samples ;)
Distance to:
Dodecadk12bStuvanè
3.43011662
Szolad31
3.44400929
Szolad36
3.71212877
Collegno36
4.21513938
Szolad43
4.68264882
I3499_NWBalkans_PannonianPlain_Vucedol_EN
4.83184230
ScythianMoldova_SCY300
4.97630385
R1_Iron_Age_Protovillanovan_Martinsicuro
5.34300477
R36_Late_Antiquity_Celio
5.55229682
ScythianSouthernMoldova_scy192
5.57919349
Szolad37
5.58678799
R33_Late_Antiquity_Mausole_di_Augusto
5.87326144
Collegno23
6.25171976
R55_Medieval_Era_Villa_Magna
6.43351381
I4332_Balkans_BronzeAge
6.77911499
I4331_Balkans_BronzeAge
7.07541518
ScythianSouthernMoldova_scy197
7.29406608
R120_Late_Antiquity_S_Ercolano_Necropolis_Ostia
7.43797688
Szolad28
7.65708169
R1283_Medieval_Era_Cancelleria
7.93996222
R111_Imperial_Era_Via_Paisiello_Necropolis
7.97270970
Szolad1
8.40716956
I3313_Balkans_BronzeAge
8.74874848
R1287_Medieval_Era_Cancelleria
9.04734768
R1285_Medieval_Era_Cancelleria
9.15007104
I4054_SE_Iberia_c.3-4CE
9.37029882
I8475_NE_Iberia_RomP_atypical
9.42395352
R1549_Imperial_Era_Monterotondo
9.51321712
R121_Late_Antiquity_S_Ercolano_Necropolis_Ostia
9.58711114
R969_Medieval_Era_Tivoli_Palazzo_Cianti
9.70952625
R474_Iron_Age_Civitavecchia
9.96859067
Bul6_Balkans_BronzeAge
10.04569560
R105_Late_Antiquity_Crypta_Balbi
10.11300153
ScythianSouthernMoldova_scy305
10.11412873
I6491_NE_Iberia_RomP
10.18781625
R60_Medieval_Era_Villa_Magna
10.25222903
I2176_Balkans_BronzeAge
10.43630203
Collegno49
10.57439360
R970_Medieval_Era_Tivoli_Palazzo_Cianti
10.68148866
R835_Imperial_Era_Civitanova_Marche
10.76639680
R118_Late_Antiquity_S_Ercolano_Necropolis_Ostia
10.84505417
I3807_SE_Iberia_c.10-16CE
10.94799068
I9123_Bronze_Age_Armenoi_Crete
11.14185353
GironaSantJuliadeRamis_I10853
11.29806621
I3809_SE_Iberia_c.10-16CE
11.50976107
I2165_Balkans_BronzeAge
11.59419251
HispanoRomanTaifaofValencia_I12647
11.79700810
R107_Late_Antiquity_Crypta_Balbi
11.81108378
R110_Late_Antiquity_Crypta_Balbi
11.83593258
CrusaderKnightApuliaAbruzzoLebanonCrusaderSI53
11.86711001
IberianCordobaCaliphate_I7498
my results for only BC time sample ..............hope i got rid of the others
Distance to:
Torziok12b
4.40054542
I4331_Balkans_BronzeAge
4.65249395
R474_Iron_Age_Civitavecchia
4.86300319
R1_Iron_Age_Protovillanovan_Martinsicuro
5.02880702
I4332_Balkans_BronzeAge
6.88000000
I3499_NWBalkans_PannonianPlain_Vucedol_EN
7.57478052
I3313_Balkans_BronzeAge
7.79092421
GironaSantJuliadeRamis_I10853
7.89459942
Bavaria_BB_II5524
8.04795626
I3866_NE_Iberia_c.6-8CE_ES
8.37730267
I6491_NE_Iberia_RomP
8.58770051
I2165_Balkans_BronzeAge
8.87062568
NorthAlpineBronzeAgeFrench_AITI_120
9.21592643
GironaSantJuliadeRamis_I10851
9.46845288
I12033_NE_Iberia_c.6CE_PL
9.73437723
I3809_SE_Iberia_c.10-16CE
10.40285057
I12031_NE_Iberia_c.6CE_PL
10.41393778
I8475_NE_Iberia_RomP_atypical
10.55301379
NorthAlpineBronzeAgeSpanishGalicia_AITI_72
10.91660662
ScythianMoldova_SCY300
10.96332066
I12516_SE_Iberia_c.10-16CE
11.19849097
ScythianSouthernMoldova_scy192
11.38562690
GironaSantJuliadeRamis_I10895
11.41299698
I12515_SE_Iberia_c.10-16CE
11.41299698
SpaniardCordobaCaliphate_I12515
11.55023376
Roman-SoldierFN_2
All samples produced by Eupedia Team:
https://drive.google.com/file/d/1uEO-BVB0ZahPo4cN928ygmadyWX3rAPc/view?usp=sharing
Mine:
https://i.imgur.com/msYVgfy.png
https://i.imgur.com/9F8zPvI.png
https://i.imgur.com/6c2zXrl.png
Palermo Trapani
22-03-20, 22:26
Stuvane: Same here, all ancient samples. I stopped at the Sicilian_Bell Beaker, don't wont to leave out my ancient cannoli and arancini friend. R52 and R56 have always had the top 2 spots in every run.
Distance to:
PalermoTrapani
2.76190152
R52_Medieval_Era_Villa_Magna
2.81037364
R56_Medieval_Era_Villa_Magna
3.27177322
R122_Late_Antiquity_S_Ercolano_Necropolis_Ostia
3.34701359
R35_Late_Antiquity_Celio
3.84983117
R131_Imperial_Era_Via_Paisiello_Necropolis
4.10471680
R835_Imperial_Era_Civitanova_Marche
4.16370028
R1290_Medieval_Era_Villa_Magna
4.18976133
R437_Iron_Age_Palestrina_Selicata
4.32090268
R973_Medieval_Era_Tivoli_Palazzo_Cianti
4.40341913
Szolad40
4.54783465
R49_Imperial_Era_Centocelle_Necropolis
4.57668002
R117_Late_Antiquity_S_Ercolano_Necropolis_Ostia
4.82952379
R65_Medieval_Era_Villa_Magna
4.83867751
R54_Medieval_Era_Villa_Magna
5.03103369
R836_Imperial_Era_Civitanova_Marche
5.08341421
Collegno121
5.30245226
R47_Imperial_Era_Centocelle_Necropolis
5.32897739
R59_Medieval_Era_Villa_Magna
5.43089311
R969_Medieval_Era_Tivoli_Palazzo_Cianti
5.46635162
R64_Medieval_Era_Villa_Magna
5.50746766
R121_Late_Antiquity_S_Ercolano_Necropolis_Ostia
5.68175149
R107_Late_Antiquity_Crypta_Balbi
5.70777540
R113_Imperial_Era_Via_Paisiello_Necropolis
5.90403252
R118_Late_Antiquity_S_Ercolano_Necropolis_Ostia
6.04601522
R136_Imperial_Era_Marcellino_&_Pietro
6.17554046
R58_Medieval_Era_Villa_Magna
6.46672251
R1544_Imperial_Era_Necropolis_of_Monte_Agnese
6.74800711
R436_Imperial_Era_Palestrina
6.76732591
R60_Medieval_Era_Villa_Magna
6.77646663
R53_Medieval_Era_Villa_Magna
7.20115963
R120_Late_Antiquity_S_Ercolano_Necropolis_Ostia
7.28579440
R1283_Medieval_Era_Cancelleria
7.55757898
CrusaderKnightApuliaAbruzzoLebanonCrusaderSI53
7.62057741
R32_Late_Antiquity_Mausole_di_Augusto
8.11539894
R970_Medieval_Era_Tivoli_Palazzo_Cianti
8.21912404
R137_Imperial_Era_Marcellino_&_Pietro
8.33180653
R30_Late_Antiquity_Mausole_di_Augusto
8.41816488
I12220_Sardinia_LateAntiquity_Grotta_Colombi
8.85745449
R50_Imperial_Era_Centocelle_Necropolis
9.01662354
R1287_Medieval_Era_Cancelleria
9.08190509
Collegno25
9.08267582
R36_Late_Antiquity_Celio
9.08880080
R111_Imperial_Era_Via_Paisiello_Necropolis
9.26807963
R114_Imperial_Era_Via_Paisiello_Necropolis
9.27144541
Collegno110
9.42151262
R125_Imperial_Era_Casale_del_Dolce
9.64398258
Szolad19
9.72580588
ScythianSouthernMoldova_scy192
9.79056178
I4054_SE_Iberia_c.3-4CE
9.94731119
R1285_Medieval_Era_Cancelleria
9.97097789
R1549_Imperial_Era_Monterotondo
10.00080497
R51_Imperial_Era_Centocelle_Necropolis
10.29666451
Szolad36
10.36353704
R45_Imperial_Era_Isola_Sacra_Necropolis
10.71806886
ScythianMoldova_SCY300
11.38594748
Szolad31
11.49942172
R133__Imperial_Era_Marcellino_&_Pietro
11.55112549
I9041_Bronze_Age_Mycenaean_Galatas_Apatheia_Pelopo nnese
11.56716473
R69_Imperial_Era_ANAS
11.63612049
R1548_Imperial_Era_Monterotondo
11.71591652
Collegno38
11.85023628
Collegno30
12.16258607
Szolad37
12.24358199
I10366_Sardinia_IA_Usellus
12.28268293
R39_Imperial_Era_Isola_Sacra_Necropolis
12.32164762
I9123_Bronze_Age_Armenoi_Crete
12.32797226
R81_Imperial_Era_Viale_Rossini_Necropolis
12.33247745
R80_Imperial_Era_Viale_Rossini_Necropolis
12.46343452
I9010_Bronze_Age_Mycenaean_Galatas_Apatheia_Pelopo nnese
12.64327489
ScythianSouthernMoldova_scy197
12.75264286
R123_Imperial_Era_Casale_del_Dolce
12.77108844
R34_Late_Antiquity_Mausole_di_Augusto
12.80481941
Collegno36
12.80763444
R1545_Imperial_Era_Necropolis_of_Monte_Agnese
12.84361320
I7499_SE_Iberia_c.10-16CE
12.87494078
R115_Imperial_Era_Via_Paisiello_Necropolis
12.99809217
I3808_SE_Iberia_c.10-16CE
13.14625422
R57_Medieval_Era_Villa_Magna
13.23641568
R850_Iron_Age_Ardea
13.25961161
R40_Imperial_Era_Isola_Sacra_Necropolis
13.54447120
R134_Imperial_Era_Marcellino_&_Pietro
13.54778949
R1543_Imperial_Era_Necropolis_of_Monte_Agnese
13.59141273
ASH068_Iron_Age1
13.62262456
I9033_Bronze_Age_Mycenaean_Peristeria_Tryfilia_Pel oponnese
13.63247226
R66_Imperial_Era_ANAS
13.67620927
Szolad43
13.67693314
I7500_SE_Iberia_c.10-16CE
13.91724470
I3499_NWBalkans_PannonianPlain_Vucedol_EN
13.96867209
I7424_SE_Iberia_c.10-16CE
14.00911489
I8205_NE_Iberia_Hel_Empuries2
14.24994035
R73_Imperial_Era_ANAS
14.38200612
I3980_SE_Iberia_c.5-8CE
14.52848581
R41_Imperial_Era_Isola_Sacra_Necropolis
14.86477380
I3983_SE_Iberia_c.3-4CE
15.05615821
Bul6_Balkans_BronzeAge
15.21495974
I8208_NE_Iberia_Hel_Empuries2
15.61245336
I2495_Bronze_Age_Anatolian_Harmanӧren-GӧndürleHӧyük_Isparta
15.76962587
ScythianSouthernMoldova_scy305
15.81303260
I8475_NE_Iberia_RomP_atypical
16.29658246
I12030_NE_Iberia_c.6CE_PL
16.42560501
I3807_SE_Iberia_c.10-16CE
16.42978089
ANI159_ANI181_Varna
16.54641653
R475_Iron_Age_Civitavecchia
16.60320451
Szolad1
16.70511000
Collegno23
16.83746418
I2499_Bronze_Age_Anatolian_Harmanӧren-GӧndürleHӧyük_Isparta
17.04939588
I12221_Sardinia_EarlyMedieval_Grotta_Colombi
17.08555823
I9006_Bronze_Age_Mycenaean_Agia_Kyriaki_Salamis
17.09368012
CrusaderKnightTuscanLebanonCrusaderSI41
17.27937210
R130_Imperial_Era_Marcellino_&_Pietro
17.34458129
I1706_AG98_2_Early_Bronze_Age
17.40331865
R1_Iron_Age_Protovillanovan_Martinsicuro
17.51228997
R44_Imperial_Era_Isola_Sacra_Necropolis
17.59496235
I2176_Balkans_BronzeAge
17.61388089
LateRomanIberiaGranada_I3576
17.63311657
R75_Imperial_Era_Viale_Rossini_Necropolis
17.63358160
R72_Imperial_Era_ANAS
17.71219919
I2175_Balkans_BronzeAge
17.78634308
HispanoRomanTaifaofValencia_I12647
17.85565737
Kumtepe004_Anatolian
17.87940435
I0679_Krepost_Neolithic
18.01735552
I1584_Barcın_Höyük_Chalcolithic
18.04210354
I3876_Sicily_LBA_Marcita
18.20627639
Kumtepe006_Anatolian
18.25766688
I1979_Bronze_Age_Beaker_Northern_Italy
18.28067559
Bul10_Balkans_BronzeAge
18.28574035
I2424_Balkans_Chalcolithic
18.29202285
R33_Late_Antiquity_Mausole_di_Augusto
18.29629197
I2427_Balkans_Chalcolithic
18.31004369
I9005_Bronze_Age_Minoan_Hagios_Charalambos_Cave_La sithi_Crete
18.31167114
MoriscoConvertAndalusia_I7425
18.36492853
I3313_Balkans_BronzeAge
18.39318352
I3809_SE_Iberia_c.10-16CE
18.41013036
ASH067_Iron_Age1
18.57208389
LateRomanIberiaGranada_I3581
18.67874996
I3582_SE_Iberia_c.5-8CE
18.67918628
Szolad35
18.70885619
I6491_NE_Iberia_RomP
18.80224189
R55_Medieval_Era_Villa_Magna
18.86455406
I12515_SE_Iberia_c.10-16CE
18.86455406
SpaniardCordobaCaliphate_I12515
18.88968766
HispanoRomanTaifaofValencia_I12644
18.89246675
I9131_Bronze_Age_Minoan_Moni_Odigitria_Heraklion_C rete
18.91112900
I8146_SE_Iberia_c.10-16CE
18.94445565
I4332_Balkans_BronzeAge
19.22978939
Szolad28
19.23503834
I4331_Balkans_BronzeAge
19.24926232
HispanoRomanMaghrebiCordobaCaliphate_I7497
19.25356850
R43_Imperial_Era_Isola_Sacra_Necropolis
19.32237563
I3579_SE_Iberia_c.5-8CE
19.36787288
R128_Imperial_Era_Casale_del_Dolce
19.50048205
I7800_Sicily_EBA_Contrada_Paolina_Castellucciana
19.53551126
I3125_Sicily_MBA_Buffa_Cave_II
19.55444962
I2430_Balkans_Chalcolithic
19.60122955
IberianCordobaCaliphate_I7498
19.65921667
I1632_AR1/46_Middle_Late_Chalcolithic_Vayots-Dzor_Armenia
19.79989646
I7807_Sicily_EBA_Contrada_Paolina_Castellucciana
19.88351076
Collegno31
19.93611045
CarthagoMaghrebiAndalusia_I7457
19.98692823
I2683_Bronze_Age_Anatolian_Harmanӧren-GӧndürleHӧyük_Isparta
19.99103549
I2431_Balkans_Chalcolithic
20.02307669
I11442_Sicily_EBA_Buffa_Cave_II
20.05352338
R70_Imperial_Era_ANAS
20.11438789
I3878_Sicily_LBA_Marcita
20.19769789
I4383_Sicily_EBA_lowcov_Vallone_Inferno
20.29788659
I10373_Sicily_LBA_Marcita
20.37579692
I3578_SE_Iberia_c.5-8CE
20.58426341
Scythian_SCY311
20.67843563
I4109_Sicily_MBA_Buffa_Cave_II
20.69572178
I12223_Sardinia_LateAntiquity_Grotta_Colombi
20.69839849
I0706_Balkans_Neolithic
20.72054536
R474_Iron_Age_Civitavecchia
20.72742628
I3123_Sicily_EBA_Buffa_Cave_II
20.77792097
I4089_Balkans_Chalcolithic
20.83430824
I7796_Sicily_EBA_Contrada_Paolina_Castellucciana
20.87168656
ANI152_Varna
20.92535065
I4930_Bronze_Age_Beaker_Sicily
Here are my results with all samples, sans post-Iron Age Roman, Crusader, Collegno, and Szolad samples:
Distance to:
Jovialis
7.16297424
ScythianSouthernMoldova_scy192
7.54746315
R437_Iron_Age_Palestrina_Selicata
9.30852835
ScythianMoldova_SCY300
9.40424372
I4054_SE_Iberia_c.3-4CE
10.01049949
ScythianSouthernMoldova_scy197
11.09522420
ScythianSouthernMoldova_scy305
11.65650033
I3499_NWBalkans_PannonianPlain_Vucedol_EN
13.15944908
I9123_Bronze_Age_Armenoi_Crete
13.23106950
I12220_Sardinia_LateAntiquity_Grotta_Colombi
14.30092305
I6491_NE_Iberia_RomP
14.42027739
R1_Iron_Age_Protovillanovan_Martinsicuro
14.50908681
I9041_Bronze_Age_Mycenaean_Galatas_Apatheia_Pelopo nnese
14.54204937
R850_Iron_Age_Ardea
14.73361802
I7424_SE_Iberia_c.10-16CE
14.80892636
I7499_SE_Iberia_c.10-16CE
15.44085814
I8475_NE_Iberia_RomP_atypical
15.67710432
I8205_NE_Iberia_Hel_Empuries2
15.93528475
I3808_SE_Iberia_c.10-16CE
15.98208372
I7500_SE_Iberia_c.10-16CE
16.04018080
Bul6_Balkans_BronzeAge
16.07932213
I9033_Bronze_Age_Mycenaean_Peristeria_Tryfilia_Pel oponnese
16.14707094
I12030_NE_Iberia_c.6CE_PL
16.24442366
I3313_Balkans_BronzeAge
16.46734344
I10366_Sardinia_IA_Usellus
16.47135089
I3983_SE_Iberia_c.3-4CE
https://i.imgur.com/okqAfVB.png
thanks
do you have this sample ERS256892 or any other ERS ancient sample ?
thanks
do you have this sample ERS256892 or any other ERS ancient sample ?
I don't thinks so, but if you can point me to the ebi.ac.uk/ link, I can produce it.
Stuvane: Same here, all ancient samples. I stopped at the Sicilian_Bell Beaker, don't wont to leave out my ancient cannoli and arancini friend. R52 and R56 have always had the top 2 spots in every run.
Distance to:
PalermoTrapani
2.76190152
R52_Medieval_Era_Villa_Magna
2.81037364
R56_Medieval_Era_Villa_Magna
3.27177322
R122_Late_Antiquity_S_Ercolano_Necropolis_Ostia
3.34701359
R35_Late_Antiquity_Celio
3.84983117
R131_Imperial_Era_Via_Paisiello_Necropolis
4.10471680
R835_Imperial_Era_Civitanova_Marche
4.16370028
R1290_Medieval_Era_Villa_Magna
4.18976133
R437_Iron_Age_Palestrina_Selicata
4.32090268
R973_Medieval_Era_Tivoli_Palazzo_Cianti
4.40341913
Szolad40
4.54783465
R49_Imperial_Era_Centocelle_Necropolis
4.57668002
R117_Late_Antiquity_S_Ercolano_Necropolis_Ostia
4.82952379
R65_Medieval_Era_Villa_Magna
4.83867751
R54_Medieval_Era_Villa_Magna
5.03103369
R836_Imperial_Era_Civitanova_Marche
5.08341421
Collegno121
5.30245226
R47_Imperial_Era_Centocelle_Necropolis
5.32897739
R59_Medieval_Era_Villa_Magna
5.43089311
R969_Medieval_Era_Tivoli_Palazzo_Cianti
5.46635162
R64_Medieval_Era_Villa_Magna
5.50746766
R121_Late_Antiquity_S_Ercolano_Necropolis_Ostia
5.68175149
R107_Late_Antiquity_Crypta_Balbi
5.70777540
R113_Imperial_Era_Via_Paisiello_Necropolis
5.90403252
R118_Late_Antiquity_S_Ercolano_Necropolis_Ostia
6.04601522
R136_Imperial_Era_Marcellino_&_Pietro
6.17554046
R58_Medieval_Era_Villa_Magna
6.46672251
R1544_Imperial_Era_Necropolis_of_Monte_Agnese
6.74800711
R436_Imperial_Era_Palestrina
6.76732591
R60_Medieval_Era_Villa_Magna
6.77646663
R53_Medieval_Era_Villa_Magna
7.20115963
R120_Late_Antiquity_S_Ercolano_Necropolis_Ostia
7.28579440
R1283_Medieval_Era_Cancelleria
7.55757898
CrusaderKnightApuliaAbruzzoLebanonCrusaderSI53
7.62057741
R32_Late_Antiquity_Mausole_di_Augusto
8.11539894
R970_Medieval_Era_Tivoli_Palazzo_Cianti
8.21912404
R137_Imperial_Era_Marcellino_&_Pietro
8.33180653
R30_Late_Antiquity_Mausole_di_Augusto
8.41816488
I12220_Sardinia_LateAntiquity_Grotta_Colombi
8.85745449
R50_Imperial_Era_Centocelle_Necropolis
9.01662354
R1287_Medieval_Era_Cancelleria
9.08190509
Collegno25
9.08267582
R36_Late_Antiquity_Celio
9.08880080
R111_Imperial_Era_Via_Paisiello_Necropolis
9.26807963
R114_Imperial_Era_Via_Paisiello_Necropolis
9.27144541
Collegno110
9.42151262
R125_Imperial_Era_Casale_del_Dolce
9.64398258
Szolad19
9.72580588
ScythianSouthernMoldova_scy192
9.79056178
I4054_SE_Iberia_c.3-4CE
9.94731119
R1285_Medieval_Era_Cancelleria
9.97097789
R1549_Imperial_Era_Monterotondo
10.00080497
R51_Imperial_Era_Centocelle_Necropolis
10.29666451
Szolad36
10.36353704
R45_Imperial_Era_Isola_Sacra_Necropolis
10.71806886
ScythianMoldova_SCY300
11.38594748
Szolad31
11.49942172
R133__Imperial_Era_Marcellino_&_Pietro
11.55112549
I9041_Bronze_Age_Mycenaean_Galatas_Apatheia_Pelopo nnese
11.56716473
R69_Imperial_Era_ANAS
11.63612049
R1548_Imperial_Era_Monterotondo
11.71591652
Collegno38
11.85023628
Collegno30
12.16258607
Szolad37
12.24358199
I10366_Sardinia_IA_Usellus
12.28268293
R39_Imperial_Era_Isola_Sacra_Necropolis
12.32164762
I9123_Bronze_Age_Armenoi_Crete
12.32797226
R81_Imperial_Era_Viale_Rossini_Necropolis
12.33247745
R80_Imperial_Era_Viale_Rossini_Necropolis
12.46343452
I9010_Bronze_Age_Mycenaean_Galatas_Apatheia_Pelopo nnese
12.64327489
ScythianSouthernMoldova_scy197
12.75264286
R123_Imperial_Era_Casale_del_Dolce
12.77108844
R34_Late_Antiquity_Mausole_di_Augusto
12.80481941
Collegno36
12.80763444
R1545_Imperial_Era_Necropolis_of_Monte_Agnese
12.84361320
I7499_SE_Iberia_c.10-16CE
12.87494078
R115_Imperial_Era_Via_Paisiello_Necropolis
12.99809217
I3808_SE_Iberia_c.10-16CE
13.14625422
R57_Medieval_Era_Villa_Magna
13.23641568
R850_Iron_Age_Ardea
13.25961161
R40_Imperial_Era_Isola_Sacra_Necropolis
13.54447120
R134_Imperial_Era_Marcellino_&_Pietro
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@Palermo Trapani
I would not say nonsense, and I never know how methodologically correct it is to use so many samples from even distant ages (probably not). But when I see that in these oracles some samples or combinations are recalled with a certain recurrence (well characterized historically and geographically), it becomes legitimate to me to suppose that the autosomal of some regional realities (and of each of us) was formed and stabilized in precise epochs, according to demographic and population patterns, now linear, now more complex, but also according to different timelines. For some cases, these are presences and mixtures originating almost completely in the protohistoric age with little external contributions, in other cases the "cocktail" was shaken in the height of antiquity or even in the Middle Ages, fusing older substrates with more recent superstrates in a more significant way...
However imperfect and with their limitations, since they work on rough statistics, these are tools that can provide interesting indications. If I remember correctly, the coordinates of a friend of mine (he's from a rather peripheral and isolated area of northern Italy), once made to run here, returned very high similarities to archaic samples, leaving the much more recent samples far behind. Maybe it's a coincidence or maybe not.
In your case I see that the most representative are the samples from the imperial and late antiquity, you are perhaps "son" of the most mature age in Rome :)
@Palermo Trapani
I would not say nonsense, and I never know how methodologically correct it is to use so many samples from even distant ages (probably not). But when I see that in these oracles some samples or combinations are recalled with a certain recurrence (well characterized historically and geographically), it becomes legitimate to me to suppose that the autosomal of some regional realities (and of each of us) was formed and stabilized in precise epochs, according to demographic and population patterns, now linear, now more complex, but also according to different timelines. For some cases, these are presences and mixtures originating almost completely in the protohistoric age with little external contributions, in other cases the "cocktail" was shaken in the height of antiquity or even in the Middle Ages, fusing older substrates with more recent superstrates in a more significant way...
However imperfect and with their limitations, since they work on rough statistics, these are tools that can provide interesting indications. If I remember correctly, the coordinates of a friend of mine (he's from a rather peripheral and isolated area of northern Italy), once made to run here, returned very high similarities to archaic samples, leaving the much more recent samples far behind. Maybe it's a coincidence or maybe not.
In your case I see that the most representative are the samples from the imperial and late antiquity, you are perhaps "son" of the most mature age in Rome :)
When I run all of my RawData, R58 - R59 are closer to me than myself.
... I’m thinking Reincarnation :) lol
https://i.imgur.com/TPWUZDt.jpg
https://i.imgur.com/1zXGmsH.jpg
... or maybe the ancient samples quality.
(logic can be boring) :grin:
Palermo Trapani
23-03-20, 02:05
@Palermo Trapani
I would not say nonsense, and I never know how methodologically correct it is to use so many samples from even distant ages (probably not). But when I see that in these oracles some samples or combinations are recalled with a certain recurrence (well characterized historically and geographically), it becomes legitimate to me to suppose that the autosomal of some regional realities (and of each of us) was formed and stabilized in precise epochs, according to demographic and population patterns, now linear, now more complex, but also according to different timelines. For some cases, these are presences and mixtures originating almost completely in the protohistoric age with little external contributions, in other cases the "cocktail" was shaken in the height of antiquity or even in the Middle Ages, fusing older substrates with more recent superstrates in a more significant way...
However imperfect and with their limitations, since they work on rough statistics, these are tools that can provide interesting indications. If I remember correctly, the coordinates of a friend of mine (he's from a rather peripheral and isolated area of northern Italy), once made to run here, returned very high similarities to archaic samples, leaving the much more recent samples far behind. Maybe it's a coincidence or maybe not.
In your case I see that the most representative are the samples from the imperial and late antiquity, you are perhaps "son" of the most mature age in Rome :)
Stuvane: Hey thanks for the well thought out post. I have absolutely have no problem being a son of the most mature age of Rome! I too, like you and your friend, am amazed how much I seem to cluster, I guess is the best term I could use, with Imperial and Late Antiquity individual Romans more so than modern Italian populations from the Regions of Sicily, Campania, Abbruzzo, which I get distances of under 5 consistently. At some level when I did my DNA testing I my ex ante predictions were I would show clustering with Greeks more so, and I do show affinity with Greeks as well as on National Geographic my 2 closest modern Reference populations are Modern Italians (Tuscany is the reference population they use) and Modern Greeks (I am not sure where National Geographic got their Greek Reference population).
Btw, I hope you and your family are doing well in Milan at this time. Stay safe.
Palermo Trapani
23-03-20, 02:06
When I run all of my RawData, R58 - R59 are closer to me than myself.
... I’m thinking Reincarnation :) lol
https://i.imgur.com/TPWUZDt.jpg
https://i.imgur.com/1zXGmsH.jpg
... or maybe the ancient samples quality.
(logic can be boring) :grin:
Good one! Cheers.
Stuvane: Hey thanks for the well thought out post. I have absolutely have no problem being a son of the most mature age of Rome! I too, like you and your friend, am amazed how much I seem to cluster, I guess is the best term I could use, with Imperial and Late Antiquity individual Romans more so than modern Italian populations from the Regions of Sicily, Campania, Abbruzzo, which I get distances of under 5 consistently. At some level when I did my DNA testing I my ex ante predictions were I would show clustering with Greeks more so, and I do show affinity with Greeks as well as on National Geographic my 2 closest modern Reference populations are Modern Italians (Tuscany is the reference population they use) and Modern Greeks (I am not sure where National Geographic got their Greek Reference population).
Btw, I hope you and your family are doing well in Milan at this time. Stay safe.
@ Salento: lol ... ahaha you conduct anthrogenic research directly with the time machine and/or spirit sessions :)))
@ Palermo Trapani: thanks, we're fine here, locked in the house (for now!). I hope the same for you. Keep it up! :)
What you say is very interesting. Perhaps in the past few decades a certain somewhat scholastic and approximate historical disclosure made the southern Italians "Greeks" in all respects, while the latest research seems to me to make us understand that reality is a little more intricate and complex. Perhaps at the outset a genetic composition already existed in the South which could already be very similar to that one of the archaic Greeks, but which arose locally. Certainly the "Greek" component properly called in the classical age was important and decisive along the coastal areas, but in the hinterland other peoples gravitated, and a local "Italic" element (pre-Roman or Roman) in their composition must however be considered, in a non-secondary way and was never undone.
After that, we can roughly hold the results of Moots' recent paper on the genetic composition of Rome in the last millennia which sees the main part of the late ancient Romans rather shifted towards Greece and the eastern Mediterranean. I believe that in the South this "late antiquity" picture persisted even in the early Middle Ages for at least 3-4 centuries especially between Sicily and Calabria, and from there it has not moved much, as if some "open tap" had been maintained with Greece and with the Levant: the fugitives from mainland Greece due to the sixth century Slavic invasions, as described in the "Chronicle of Monemvasia", other arrivals of Greeks or Greek-Syrians from the Levant with the advent and Islamic expansion against the Byzantine empire, the iconoclastic crisis ...
@ Salento: lol ... ahaha you conduct anthrogenic research directly with the time machine and/or spirit sessions :)))
@ Palermo Trapani: thanks, we're fine here, locked in the house (for now!). I hope the same for you. Keep it up! :)
What you say is very interesting. Perhaps in the past few decades a certain somewhat scholastic and approximate historical disclosure made the southern Italians "Greeks" in all respects, while the latest research seems to me to make us understand that reality is a little more intricate and complex. Perhaps at the outset a genetic composition already existed in the South which could already be very similar to that one of the archaic Greeks, but which arose locally. Certainly the "Greek" component properly called in the classical age was important and decisive along the coastal areas, but in the hinterland other peoples gravitated, and a local "Italic" element (pre-Roman or Roman) in their composition must however be considered, in a non-secondary way and was never undone.
After that, we can roughly hold the results of Moots' recent paper on the genetic composition of Rome in the last millennia which sees the main part of the late ancient Romans rather shifted towards Greece and the eastern Mediterranean. I believe that in the South this "late antiquity" picture persisted even in the early Middle Ages for at least 3-4 centuries especially between Sicily and Calabria, and from there it has not moved much, as if some "open tap" had been maintained with Greece and with the Levant: the fugitives from mainland Greece due to the sixth century Slavic invasions, as described in the "Chronicle of Monemvasia", other arrivals of Greeks or Greek-Syrians from the Levant with the advent and Islamic expansion against the Byzantine empire, the iconoclastic crisis ...
If the Moots paper taught us anything, it's that the "change" in the area of Rome started taking place in the time of the Republic, and was pretty complete by the Imperial Era. After that, in Late Antiquity to the Medieval period, the "tail to the Levant" disappeared.
Whether that wasn't the case in the South is something which must wait for ancient dna from the South ranging from the Neolithic to the present day, and including the Medieval period during which the Muslims dominated Sicily for over two hundred years.
I can say that my husband, whose account I manage, is mostly Calabrian (three-quarters). He is extremely close to many of the Imperial Era "Romans" found in the Moots sample, but not to the ones who place in the Levant. So, there's no evidence of any "open tap" which has continued to affect his genetics beyond that time, and his ancestry is from Reggio Calabria, so Sikeliot's musings about this supposed huge movement of Sicilians to Calabria certainly didn't affect him. (Fwiw, to my knowledge most of the migration was in the opposite direction, as when Calabrians went in to settle in Messina after it was destroyed in the earthquake.)
Big changes in genomic structure come from folk migrations, not a few thousand refugees.
Even the Longobardi, who did arrive as a folk migration, didn't make a huge dent in Italy. All one has to do is look at the ydna.
I know of no evidence whatsoever for the movement of such large numbers of Greeks, either from the mainland or "Syria", that they could change the genetic composition of Southern Italians.
These are the musings of people like Sikeliot, whatever name he goes by currently here, and maybe that racist mad man from Lombardia, but it's not science.
Palermo Trapani
24-03-20, 00:16
@ Salento: lol ... ahaha you conduct anthrogenic research directly with the time machine and/or spirit sessions :)))
@ Palermo Trapani: thanks, we're fine here, locked in the house (for now!). I hope the same for you. Keep it up! :)
What you say is very interesting. Perhaps in the past few decades a certain somewhat scholastic and approximate historical disclosure made the southern Italians "Greeks" in all respects, while the latest research seems to me to make us understand that reality is a little more intricate and complex. Perhaps at the outset a genetic composition already existed in the South which could already be very similar to that one of the archaic Greeks, but which arose locally. Certainly the "Greek" component properly called in the classical age was important and decisive along the coastal areas, but in the hinterland other peoples gravitated, and a local "Italic" element (pre-Roman or Roman) in their composition must however be considered, in a non-secondary way and was never undone.
After that, we can roughly hold the results of Moots' recent paper on the genetic composition of Rome in the last millennia which sees the main part of the late ancient Romans rather shifted towards Greece and the eastern Mediterranean. I believe that in the South this "late antiquity" picture persisted even in the early Middle Ages for at least 3-4 centuries especially between Sicily and Calabria, and from there it has not moved much, as if some "open tap" had been maintained with Greece and with the Levant: the fugitives from mainland Greece due to the sixth century Slavic invasions, as described in the "Chronicle of Monemvasia", other arrivals of Greeks or Greek-Syrians from the Levant with the advent and Islamic expansion against the Byzantine empire, the iconoclastic crisis ...
I think the Greek ancestry is there in Sicily as the rest of the South, but I think the Greeks and many Italians seem to share many of the same Source populations, significant EEF, and what else? maybe CHG and Iran Neolithic, but there does seem to be this ancient Italic ancestry that was in Sicily even before the Greeks and Romans got there. Nobody disputes the Sicels were from the mainland of Southern Italy closely related to the Oenotrians. The Elymi, appear to me to be more and more related to the Ligures. The Sicani still not sure but this recent paper indicating the Steppe ancestry that reached Sicily early on seems to have come from Iberia might suggest the Sicani were Iberians as some of the ancient historians claimed. Other Italic Tribes that were in Sicily include the Ausonians and Mamertini who were from Campania and Morgete from Calabria, who were related to the Sicels. So yes the Pheonicians set up sea ports in the West, did not colonize, and the Greeks colonized all the way to Segesta and Selinunte in Trapani. So when the Romans get there in late 3rd century BC and Sicily is part of the Roman empire till 5th century, the DNA of Sicily seems to be in place. After fall of Western Empire, Sicily is then under the Eastern Roman Empire to the Saracen invasion which was followed by the Normans who brought in mainland Roman Catholic Priests to staff all the closed Churches and many of these Priests Parents and siblings must came in as well. Seems like they came from Rome, maybe Tuscany, some maybe from Genoa and Milan maybe. So despite some changes here and there, the genetic continuity seems to have been relatively stable over the last 3 millennia. As to who this Sikeliot fellow Angela talks about, I have heard about him and some of his posts are still archived here. He does seem to have an axe to grind with Sicilians and Southern Italians with his Levant hypothesis being the dominate Source DNA. I just don't think that is true. Some Levant admixture, yes, going back to Pheonicians and re-entering during Saracen invasion but every study I read puts the Levant/North-African Phoenician admixture in the 4-5% range.
No doubt there were Greek Orthodox fleeing Islamic invasions from both Greece, Constantinople and Albania starting in the 14th century and up to the 15th century. I have noted this before, but on my maternal side, one of the my Great Grandparents was baptized in an Eastern Rite Catholic Church in Sicily, Byzantine Catholic church in communion with Rome. By Byzantine I am referring to the Liturgical Tradition of of the Church, not getting into Greek vs. Albanian rivals, which in my case, when I run Dodecad 12b updated, they both show up in my like top 25 modern distances.
If the Moots paper taught us anything, it's that the "change" in the area of Rome started taking place in the time of the Republic, and was pretty complete by the Imperial Era. After that, in Late Antiquity to the Medieval period, the "tail to the Levant" disappeared.
Whether that wasn't the case in the South is something which must wait for ancient dna from the South ranging from the Neolithic to the present day, and including the Medieval period during which the Muslims dominated Sicily for over two hundred years.
I can say that my husband, whose account I manage, is mostly Calabrian (three-quarters). He is extremely close to many of the Imperial Era "Romans" found in the Moots sample, but not to the ones who place in the Levant. So, there's no evidence of any "open tap" which has continued to affect his genetics beyond that time, and his ancestry is from Reggio Calabria, so Sikeliot's musings about this supposed huge movement of Sicilians to Calabria certainly didn't affect him. (Fwiw, to my knowledge most of the migration was in the opposite direction, as when Calabrians went in to settle in Messina after it was destroyed in the earthquake.)
Big changes in genomic structure come from folk migrations, not a few thousand refugees.
Even the Longobardi, who did arrive as a folk migration, didn't make a huge dent in Italy. All one has to do is look at the ydna.
I know of no evidence whatsoever for the movement of such large numbers of Greeks, either from the mainland or "Syria", that they could change the genetic composition of Southern Italians.
These are the musings of people like Sikeliot, whatever name he goes by currently here, and maybe that racist mad man from Lombardia, but it's not science.
@Angela, @ Palermo Trapani
yes, it's true: the paper by Moots in the end concerns only the case of Rome. My imprecision, it was not the rule, is not a thing to generalize, but scrolling for example the late antiquity and Byzantine prosopographic lists a certain variety of allochthonous presences along the Peninsula is present (in the North as in the South), probably quite superficial but not even zero.
I didn't want to marry the thesis of Sikeliotis & co, but only to show some hypotheses that are often proposed in Byzantine history and linguistics to justify the persistent and almost stainless "Greekness" (or close proximity to "Greekness") of the 'Southern Italy.
Check the cards for example of various names in the Ethnicity section of the PBE by Martindale (list of Greek, Isaurian, Syrian) or in the List of locations (Sicily or other places ...).
The most famous case is perhaps Pope Sergius I and his father Tiberius, Syrian natives, but first documented in Palermo
Nothing apodictic, nothing definitive, but the Byzantinists split their brains over these matters :)
http://www.storiaromanaebizantina.it/litalia-meridionale-bizantina-migrazioni-societa-e-conflitti/
http://www.pbe.kcl.ac.uk/data/index.htm
Palermo Trapani
24-03-20, 02:58
@Angela, @ Palermo Trapani
yes, it's true: the paper by Moots in the end concerns only the case of Rome. My imprecision, it was not the rule, is not a thing to generalize, but scrolling for example the late antiquity and Byzantine prosopographic lists a certain variety of allochthonous presences along the Peninsula is present (in the North as in the South), probably quite superficial but not even zero.
I didn't want to marry the thesis of Sikeliotis & co, but only to show some hypotheses that are often proposed in Byzantine history and linguistics to justify the persistent and almost stainless "Greekness" (or close proximity to "Greekness") of the 'Southern Italy.
Check the cards for example of various names in the Ethnicity section of the PBE by Martindale (list of Greek, Isaurian, Syrian) or in the List of locations (Sicily or other places ...).
The most famous case is perhaps Pope Sergius I and his father Tiberius, Syrian natives, but first documented in Palermo
Nothing apodictic, nothing definitive, but the Byzantinists split their brains over these matters :)
http://www.storiaromanaebizantina.it/litalia-meridionale-bizantina-migrazioni-societa-e-conflitti/
http://www.pbe.kcl.ac.uk/data/index.htm
Stuvane: No I took nothing in your post to be pushing this Sikeliot fellow and his toadies. For the record, I early on when I first registered here got caught up in a thread where this guy under an alias or one of his toadies got me into one these types of threads and I posted stuff that overlapped multiple forum topics into one post. My ignorance of the rules was my own fault for the record. As a result, I was sort of lumped in with this Sikeliot guy and his cohort, mistakenly and I can see why this fellow caught a lot of heat from the Advisors and Mods with his anti Sicilian and Southern Italian nonsense. I have no problem with honest discussion of DNA but it do it with legitimate academic research, not agendas based on pseudo Science. And I tend to stay in my own lane so to speak here on Eupedia. Mostly I stay with the ancient DNA stuff and DNA forums dealing with Italy only, sometimes Greek. If I get comfortable posting with someone who is not of Italian ancestry, then yes I may correspond with them. Two posters I enjoy discussing topics with are Carlos from Spain and Duarte From Brazil. As for Sikeliot and Company types, probably a good thing this guy is no longer here or Mods and Advisors have got him under control as my Sicilian temper might get the best of me (Americano-Siciliano that is). My favorite TV show is Commassario Montalbano and I would likely end up responding to that guy the way Montalbano does to his Deputy Mimi Augello when he gets ticked off at Mimi. I must confess, I know Luca the actor that Plays Montalbano is from Rome but he says that saying (which I will not say here) with a Sicilian flare!. If you watch the Show you know what I am getting at (hopefully I want get a minus for this). I have run into the thesis that Sikeliot and Co and people who push it on other blogs (ItalianAnthro is one) and Youtube videos so I have to watch my temper with those types. But like I said, I personally took nothing wrong in your post. You were among the first people here that I think I was able to discuss results with respect to these Ancient Samples that the Eupedia team put together so I appreciate that.
Stuvane: No I took nothing in your post to be pushing this Sikeliot fellow and his toadies. For the record, I early on when I first registered here got caught up in a thread where this guy under an alias or one of his toadies got me into one these types of threads and I posted stuff that overlapped multiple forum topics into one post. My ignorance of the rules was my own fault for the record. As a result, I was sort of lumped in with this Sikeliot guy and his cohort, mistakenly and I can see why this fellow caught a lot of heat from the Advisors and Mods with his anti Sicilian and Southern Italian nonsense. I have no problem with honest discussion of DNA but it do it with legitimate academic research, not agendas based on pseudo Science. And I tend to stay in my own lane so to speak here on Eupedia. Mostly I stay with the ancient DNA stuff and DNA forums dealing with Italy only, sometimes Greek. If I get comfortable posting with someone who is not of Italian ancestry, then yes I may correspond with them. Two posters I enjoy discussing topics with are Carlos from Spain and Duarte From Brazil. As for Sikeliot and Company types, probably a good thing this guy is no longer here or Mods and Advisors have got him under control as my Sicilian temper might get the best of me (Americano-Siciliano that is). My favorite TV show is Commassario Montalbano and I would likely end up responding to that guy the way Montalbano does to his Deputy Mimi Augello when he gets ticked off at Mimi. I must confess, I know Luca the actor that Plays Montalbano is from Rome but he says that saying (which I will not say here) with a Sicilian flare!. If you watch the Show you know what I am getting at (hopefully I want get a minus for this). I have run into the thesis that Sikeliot and Co and people who push it on other blogs (ItalianAnthro is one) and Youtube videos so I have to watch my temper with those types. But like I said, I personally took nothing wrong in your post. You were among the first people here that I think I was able to discuss results with respect to these Ancient Samples that the Eupedia team put together so I appreciate that.
@Palermo Trapani,
I am the first to lean towards very local phenomena. (But sometimes my old academic deformations and reminiscences of my PhD wake up and they want to elbow around ;P )
PS. I like very much Montalbano series. I'm a fan of Mimì Augello, but my absolute top is Dr. Pasquano, the late and irascible coroner :lmao:
Palermo Trapani
24-03-20, 15:26
@Palermo Trapani,
I am the first to lean towards very local phenomena. (But sometimes my old academic deformations and reminiscences of my PhD wake up and they want to elbow around ;P )
PS. I like very much Montalbano series. I'm a fan of Mimì Augello, but my absolute top is Dr. Pasquano, the late and irascible coroner :lmao:
Dr. Pasquano is/was a great character, unfortunately Marcello Perracchio past away in 2017 and last summer both Andrea Camilleri and Sironi (Director of all the Movies) past away. I hope going forward the new movies with a new Director and Camilleri no longer available to consult are up the standard that was set in the past.
As for the local phenomena, I agree. Angela mentioned the Antonio/Moots et al 2019 paper on ancient Romans and I think if a paper would do a longitudinal study in Sicily starting with the WHG Samples, the Sicilian Bell Beaker Sample (who had no Steppe), the Steppe admixture, then Pheonician/Greek/Roman era well into the Kingdom to Two Sicilies/Naples era, the results would be similar. 1)WHG for a long time then 2) EEF-Anatolian type ancestry dominates then 3) Some Steppe ancestry which in Sicily includes some CHG and Iran type ancestry and over time there are some subtle shifts here and there, etc. As Angela noted it would be good to see what happened during the Saracen period then what happened right after they were expelled and the Normans along with mainland Italian families came in with there Roman Rite Sons who were Priests and then some additional Greek/Albanian influx. So looking at the Sicilian data over a long time-series I think it would show again the same type pattern as the data from the Roman paper and the samples would plot within the same general area with some slight shifts here and there.
IMO, just looking at two cemeteries outside of the city of Rome, and claiming it says something about the peninsula as a whole, creates a tyranny of averages.
Also, there are "Imperial Romans" that plot in Northern, and Southern Italian clusters; areas that are consistent in all ages, from the Iron age, to the present. Not just the extinct cluster.
Palermo Trapani
24-03-20, 17:54
IMO, just looking at two cemeteries outside of the city of Rome, and claiming it says something about the peninsula as a whole, creates a tyranny of averages.
Also, there are "Imperial Romans" that plot in Northern, and Southern Italian clusters; areas that are consistent in all ages, from the Iron age, to the present. Not just the extinct cluster.
I didn't mean it as a statement of fact, more of a hypothesis. Just speaking of Sicily the sample from Palermo (Favignana, Grotta d Oriente) is a Western Hunter Gather (WHG) similar to what was all over Western Europe. Best I can tell the Sicilian Bell Beaker is mostly Neolithic Early European Farmer (EEF) maybe with some Iran Neolithic. Next the the recent paper by the Reich team documents Steppe Ancestry. Just my quick observation of the Antonio/Moots et al 2019 paper (Figure 2) which shows this basic pattern in Rome (WHG, then EEF and Iran Neolithic, then Steppe). The same pattern seems to be present in Sicily at least to Iron Age period. Whatever happened during that period up to the Imperial period as you said shows some Imperial Romans cluster with Northern Italians and some Southern. In Sicily there were the Phoenicians, Greeks and Romans (but there were already Italic tribes in Sicily before the Romans came in at the end of the 3rd Century BC). The Antonio/Moots paper documents a move Eastward during this period somewhat but not enough that it caused the Imperial Romans to cluster with non Modern Italian populations. It seems to me the significant majority of these ancient Imperial Roman samples cluster mostly in Figure 2 in a circle that includes all of Modern Italy, again some more North shifted, some more Southern Shifted. So I think as we get more samples, I would like to see Sicilian Time Series type analysis done from the Imperial Period to Modern similar to what Antonio/Moots et al did for Lazio-Rome. It would be good to see that done with other Italian samples from various regions using a longitudinal type analysis as well.
Again, I did not mean to present anything I wrote in post #154 as a statement of fact, more of a hypothesis and thinking of how I would like to see future research papers address Italian genetic history overall, and in my case, Sicily in particular. Sorry if my post was cryptically written.
^^I was actually referring more to the conclusion made by the authors of the paper.
Palermo Trapani
24-03-20, 19:36
^^I was actually referring more to the conclusion made by the authors of the paper.
Oh, my bad again. Well I agree I have issues with the conclusions in the Antonio/Moots et al 2019 paper and the recent paper on Steppe Ancestry into Sardinia/Sicily (Reich team) and some of there sample choices they used to fit models, and not properly explaining why and what the admixture of certain samples that were chosen. You correctly pointed out the Morocco_LN sample and Phoenician_Ibiza sample both cluster with ancient Greeks/Eastern Med Populations and if I remember both were used in at least one or both of those papers.
Have a question, have you or Duarte run the Dodecad K12 Coordinates for the Morocco_EN, Morocco_LN and Ibiza_Phoenician samples?
Here are all of the Scythian, Sarmatian, Cimmerian, and Srubnaya samples. This one was tricky to get, but I found away to get the files to convert. You had to save them to a desktop, rather than an individual folder. Idk why, but it made the software work correctly:
Ancient genomes suggest the eastern Pontic-Caspian steppe as the source of western Iron Age nomads
Krzewińska et al. 2018
https://advances.sciencemag.org/content/4/10/eaat4457
https://www.ebi.ac.uk/ena/data/view/PRJEB27628
chy001_Sarmatian,22.69,8.21,0,0,13.39,40.51,3.2,0. 68,0,0.12,11.2,0
chy002_Sarmatian,25.87,8.68,0,0,12.38,37.73,0.98,0 ,0,5.7,7.85,0.82
cim357_Cimmerian,17.43,8.06,0,1.02,16.1,42.32,3.11 ,0,0,1.06,10.9,0
cim358_Cimmerian,22.58,11.12,0,3.04,8.31,32.3,3.23 ,1.43,0,5.24,12.76,0
cim359_Cimmerian,13.81,23.13,0,1.62,7.05,33.66,3.7 ,0.01,0,12.42,3.99,0.62
kzb001_Srubnaya,12.46,2.5,2.64,1.76,22.63,47.36,2. 83,1.29,0,0.82,5.72,0
kzb002_Srubnaya,21.09,3.59,0,0,18.79,54.68,0.81,0, 0,0,0.91,0.12
kzb003_Srubnaya,20.86,0.61,1.59,0,27.72,47.14,2.09 ,0,0,0,0,0
kzb004_Srubnaya,9.17,8.33,0,0,24.07,58.42,0,0,0,0, 0,0
kzb005_Srubnaya,17.86,1.95,0,0,13.6,56.88,0,1.68,0 ,0,7.96,0.06
kzb006_Srubnaya,18.13,1.71,0,0,22.3,51.06,1.34,0,0 ,0,4.15,1.3
kzb007_Srubnaya,18.39,1.92,0,0,21.93,52.11,0,1.15, 0,0,3.94,0.57
kzb008_Srubnaya,19.26,2.85,0,0.02,14.65,56.62,0.35 ,1.24,0,0,4.84,0.16
kzb009_Srubnaya,18.12,2.94,0,0,22.91,51.61,0,0,0.2 7,0,3.22,0.93
mur001_Srubnaya,21.99,3.22,0,0,18.4,55.26,0,0,0,0, 0.84,0.29
mur002_Srubnaya,20.07,0.7,0,4.28,16.77,54.31,1.06, 2.8,0,0,0,0
mur003_Srubnaya,19.28,2.35,0,0,22.87,53.76,0,0,0,0 ,1.1,0.64
mur004_Srubnaya,17.15,3.53,0,0,16.72,54.14,0,0,0,0 ,7.68,0.78
scy006_Scythian,13.82,0,6.4,3.46,14.64,45.37,0,0,1 2.79,0,3.51,0
scy009_Scythian,4.23,0,0.79,0,28.83,51.34,0,0.44,1 .95,0,10.18,2.24
scy010_Scythian,9.55,0,0,0,26.15,42.92,0.16,0,0.37 ,0.48,18.85,1.52
scy011_Scythian,16.47,8.21,1.55,0,13.83,38.9,0,2.4 1,0.95,2.23,15.44,0
scy192_Scythian,6.15,2.19,2.36,0,33.03,20.16,0.24, 0,8.81,0,27.04,0
scy193_Scythian,26.88,0.89,5.86,3.62,4.91,41.86,5. 06,3.64,7.27,0,0,0
scy197_Scythian,3.49,0.62,0.2,0,34.96,21.32,0,0.65 ,5.34,2.18,30.87,0.39
scy300_Scythian,5.95,1.42,0,1.64,33.53,20.09,0,0,1 0.58,0,26.79,0
scy301_Scythian,12.78,6.07,0,0,21.44,31.2,0.66,0,3 .58,1.56,22.02,0.69
scy303_Scythian,9.62,0.42,0,0,34.83,50.06,0,0,0,0, 3.54,1.52
scy304_Scythian,12.02,0,4.91,1.76,28.54,36.4,0.53, 0.93,0,0,13.33,1.58
scy305_Scythian,6.81,0.44,0,0.24,25.58,27.17,0,0,6 .57,3.55,29.64,0
scy311_Scythian,14.93,1.03,0,4.47,29.91,24.38,0,0, 4.36,0.37,20.21,0.35
scy332_Scythian,0,38.92,0,0,0,9.86,0,0,0,47.11,0,4 .11
tem001_Sarmatian,25.16,5.97,0,0,12.41,44.18,0,0,0, 5.3,6.98,0
tem002_Sarmatian,26.74,8.42,0,0.75,13.66,40.74,1.6 6,0,0,1.4,5.72,0.91
tem003_Sarmatian,22.48,5.77,0,0,9.89,44.11,1.85,0, 0,5.08,9.97,0.85
Here are all of the Scythian, Sarmatian, Cimmerian, and Srubnaya samples. This one was tricky to get, but I found away to get the files to convert. You had to save them to a desktop, rather than an individual folder. Idk why, but it made the software work correctly:
Ancient genomes suggest the eastern Pontic-Caspian steppe as the source of western Iron Age nomads
Krzewińska et al. 2018
https://advances.sciencemag.org/content/4/10/eaat4457
https://www.ebi.ac.uk/ena/data/view/PRJEB27628
chy001_Sarmatian,22.69,8.21,0,0,13.39,40.51,3.2,0. 68,0,0.12,11.2,0
chy002_Sarmatian,25.87,8.68,0,0,12.38,37.73,0.98,0 ,0,5.7,7.85,0.82
cim357_Cimmerian,17.43,8.06,0,1.02,16.1,42.32,3.11 ,0,0,1.06,10.9,0
cim358_Cimmerian,22.58,11.12,0,3.04,8.31,32.3,3.23 ,1.43,0,5.24,12.76,0
cim359_Cimmerian,13.81,23.13,0,1.62,7.05,33.66,3.7 ,0.01,0,12.42,3.99,0.62
kzb001_Srubnaya,12.46,2.5,2.64,1.76,22.63,47.36,2. 83,1.29,0,0.82,5.72,0
kzb002_Srubnaya,21.09,3.59,0,0,18.79,54.68,0.81,0, 0,0,0.91,0.12
kzb003_Srubnaya,20.86,0.61,1.59,0,27.72,47.14,2.09 ,0,0,0,0,0
kzb004_Srubnaya,9.17,8.33,0,0,24.07,58.42,0,0,0,0, 0,0
kzb005_Srubnaya,17.86,1.95,0,0,13.6,56.88,0,1.68,0 ,0,7.96,0.06
kzb006_Srubnaya,18.13,1.71,0,0,22.3,51.06,1.34,0,0 ,0,4.15,1.3
kzb007_Srubnaya,18.39,1.92,0,0,21.93,52.11,0,1.15, 0,0,3.94,0.57
kzb008_Srubnaya,19.26,2.85,0,0.02,14.65,56.62,0.35 ,1.24,0,0,4.84,0.16
kzb009_Srubnaya,18.12,2.94,0,0,22.91,51.61,0,0,0.2 7,0,3.22,0.93
mur001_Srubnaya,21.99,3.22,0,0,18.4,55.26,0,0,0,0, 0.84,0.29
mur002_Srubnaya,20.07,0.7,0,4.28,16.77,54.31,1.06, 2.8,0,0,0,0
mur003_Srubnaya,19.28,2.35,0,0,22.87,53.76,0,0,0,0 ,1.1,0.64
mur004_Srubnaya,17.15,3.53,0,0,16.72,54.14,0,0,0,0 ,7.68,0.78
scy006_Scythian,13.82,0,6.4,3.46,14.64,45.37,0,0,1 2.79,0,3.51,0
scy009_Scythian,4.23,0,0.79,0,28.83,51.34,0,0.44,1 .95,0,10.18,2.24
scy010_Scythian,9.55,0,0,0,26.15,42.92,0.16,0,0.37 ,0.48,18.85,1.52
scy011_Scythian,16.47,8.21,1.55,0,13.83,38.9,0,2.4 1,0.95,2.23,15.44,0
scy192_Scythian,6.15,2.19,2.36,0,33.03,20.16,0.24, 0,8.81,0,27.04,0
scy193_Scythian,26.88,0.89,5.86,3.62,4.91,41.86,5. 06,3.64,7.27,0,0,0
scy197_Scythian,3.49,0.62,0.2,0,34.96,21.32,0,0.65 ,5.34,2.18,30.87,0.39
scy300_Scythian,5.95,1.42,0,1.64,33.53,20.09,0,0,1 0.58,0,26.79,0
scy301_Scythian,12.78,6.07,0,0,21.44,31.2,0.66,0,3 .58,1.56,22.02,0.69
scy303_Scythian,9.62,0.42,0,0,34.83,50.06,0,0,0,0, 3.54,1.52
scy304_Scythian,12.02,0,4.91,1.76,28.54,36.4,0.53, 0.93,0,0,13.33,1.58
scy305_Scythian,6.81,0.44,0,0.24,25.58,27.17,0,0,6 .57,3.55,29.64,0
scy311_Scythian,14.93,1.03,0,4.47,29.91,24.38,0,0, 4.36,0.37,20.21,0.35
scy332_Scythian,0,38.92,0,0,0,9.86,0,0,0,47.11,0,4 .11
tem001_Sarmatian,25.16,5.97,0,0,12.41,44.18,0,0,0, 5.3,6.98,0
tem002_Sarmatian,26.74,8.42,0,0.75,13.66,40.74,1.6 6,0,0,1.4,5.72,0.91
tem003_Sarmatian,22.48,5.77,0,0,9.89,44.11,1.85,0, 0,5.08,9.97,0.85
My results:
https://i.imgur.com/H2GuxiD.png
https://i.imgur.com/vUnV7wg.png
Distance to:
Torziok12b
10.92719543
scy192_Scythian
11.37866424
scy300_Scythian
11.73701410
scy311_Scythian
12.83619102
scy197_Scythian
14.00646279
scy305_Scythian
16.18537612
scy304_Scythian
17.29987861
scy301_Scythian
19.10218836
scy010_Scythian
27.20967107
scy009_Scythian
28.74615279
scy011_Scythian
28.98577410
scy303_Scythian
29.43384277
kzb001_Srubnaya
30.28082892
cim357_Cimmerian
33.20941282
kzb003_Srubnaya
33.38890834
chy001_Sarmatian
34.13015822
kzb006_Srubnaya
34.32554588
scy006_Scythian
34.74650198
kzb009_Srubnaya
35.17982518
kzb007_Srubnaya
35.96522070
cim358_Cimmerian
36.31048471
chy002_Sarmatian
37.13595024
mur004_Srubnaya
37.26386185
tem002_Sarmatian
37.30820017
tem003_Sarmatian
37.69555942
mur003_Srubnaya
Target: Torziok12b
Distance: 3.6949% / 3.69486970 | ADC: 0.5x
39.8
scy192_Scythian
24.2
scy300_Scythian
15.8
scy304_Scythian
13.6
scy303_Scythian
6.6
scy197_Scythian
my cousin ...she is from my paternal side ...she is closer ..........seems to be be mother side getting the closeness
Distance to:
TrentinoCles
7.85726415
scy197_Scythian
8.70577969
scy192_Scythian
8.94655241
scy300_Scythian
13.26567752
scy305_Scythian
15.85937893
scy311_Scythian
20.66576880
scy301_Scythian
21.82181936
scy304_Scythian
23.07017989
scy010_Scythian
31.15605559
scy009_Scythian
33.09582300
scy011_Scythian
34.06267899
scy303_Scythian
34.78304328
kzb001_Srubnaya
35.29715003
cim357_Cimmerian
38.54526430
chy001_Sarmatian
39.49995570
kzb003_Srubnaya
39.50365932
scy006_Scythian
39.80757591
kzb006_Srubnaya
40.31317030
cim358_Cimmerian
40.43142837
kzb009_Srubnaya
40.80034926
kzb007_Srubnaya
41.69505127
chy002_Sarmatian
42.18629635
mur004_Srubnaya
42.36484628
tem003_Sarmatian
42.94599166
tem002_Sarmatian
43.39586847
tem001_Sarmatian
70.6
scy197_Scythian
18.0
scy300_Scythian
11.4
scy303_Scythian
@Jovialis
can you do these ancient swiss samples
https://trace.ncbi.nlm.nih.gov/Traces/sra/?study=SRP250694
^Sure, I'll see what I can do, thanks for the link.
Done my Scythians
Distance to: Dodecadk12bStuvanè
5.19567128 scy192_Scythian
5.64705233 scy300_Scythian
8.05853585 scy197_Scythian
10.79158932 scy305_Scythian
13.98167730 scy311_Scythian
18.54923179 scy301_Scythian
21.73006213 scy304_Scythian
23.45796240 scy010_Scythian
31.36011320 scy011_Scythian
32.28959585 scy009_Scythian
34.12785080 cim357_Cimmerian
34.69652576 kzb001_Srubnaya
35.47595101 scy303_Scythian
36.87101029 chy001_Sarmatian
37.56804626 scy006_Scythian
37.96383147 cim358_Cimmerian
39.42665723 kzb003_Srubnaya
39.61944093 kzb006_Srubnaya
39.78438010 chy002_Sarmatian
40.29729023 kzb009_Srubnaya
40.62261070 kzb007_Srubnaya
40.71274002 tem003_Sarmatian
41.28396783 tem002_Sarmatian
41.73612105 mur004_Srubnaya
41.86091256 tem001_Sarmatian
Target: Dodecadk12bStuvanè
Distance: 2.3304% / 2.33037350 | ADC: 0.25x
46.0 scy192_Scythian
33.4 scy300_Scythian
11.0 scy009_Scythian
9.6 scy197_Scythian
Thanks J :)
https://i.imgur.com/Wontg7q.jpg
https://i.imgur.com/WHo8n9J.jpg
Clearly, Scythian is a multi-ethnic designation.
Distance to:
Angela
8.27433985
scy197_Scythian
8.83698478
scy192_Scythian
9.50336256
scy300_Scythian
17.91613798
scy311_Scythian
18.11062395
scy305_Scythian
25.59229767
scy301_Scythian
26.90442900
scy304_Scythian
30.01286224
scy010_Scythian
38.40274860
scy009_Scythian
38.49088983
scy011_Scythian
39.91316324
scy303_Scythian
40.81249441
cim357_Cimmerian
40.89165685
kzb001_Srubnaya
43.35175544
chy001_Sarmatian
44.08333472
cim358_Cimmerian
44.29896839
kzb003_Srubnaya
45.50706978
scy006_Scythian
45.72603416
kzb006_Srubnaya
45.81639881
chy002_Sarmatian
46.36033757
kzb009_Srubnaya
46.80573042
kzb007_Srubnaya
47.30932361
tem002_Sarmatian
47.64050902
tem003_Sarmatian
48.36738467
tem001_Sarmatian
48.69347903
mur004_Srubnaya
Closest modern population to my two best matches:
Distance to:
scy197_Scythian
6.50429089
Italy_Romagna
7.27741012
Italy_Marche
7.48716569
Italy_Tuscany
7.66083572
Italy_Lazio
8.36653040
Italy_Emilia
9.14755705
Albanian_Kosovo
9.22685732
France_Corsica
9.27352199
Italy_Liguria
9.62437011
Albanian_North
10.63150740
Italy_Lombardy
10.63743434
Italy_Veneto
10.98316894
Greek
11.20703965
Italy_Abruzzo
11.66363014
Italy_Piedmont
12.56188680
Turk_Macedonia
12.67955425
Italy_FriuliVG
12.70763424
Italy_Apulia
13.41172644
Italy_Campania
13.69688286
Turk_Greece
13.84070853
Swiss_Italian
14.37500678
Italy_Trentino
14.51107508
Gagauz
14.53967348
Italy_Sicily
15.47337067
Macedonian
16.77276690
Italy_Calabria
Distance to:
scy192_Scythian
2.90891732
Italy_Romagna
3.31831644
Italy_Lazio
3.41690474
Italy_Marche
5.16991199
Italy_Tuscany
6.63997523
Italy_Emilia
7.27998723
Italy_Liguria
7.87435686
France_Corsica
8.50234085
Albanian_Kosovo
8.64415327
Italy_Abruzzo
9.53821262
Albanian_North
9.87368884
Italy_Veneto
9.92527179
Italy_Piedmont
10.04034350
Italy_Lombardy
10.36420803
Italy_Apulia
11.16022114
Italy_FriuliVG
11.19733004
Turk_Macedonia
11.38685057
Italy_Campania
11.59306689
Turk_Greece
11.71316972
Italy_Sicily
12.21097867
Greek
13.43338053
Swiss_Italian
13.52782688
Gagauz
13.82780171
Italy_Trentino
14.61846435
Turk_Romania
14.62992326
Italy_Calabria
My worst Scythian match:
Distance to:
scy303_Scythian
6.27656753
Norwegian
6.52972434
Dutch
7.53361135
German
7.73222478
Mixed_Germanic
7.82925922
Swedish
8.68327703
CEU30
8.89747717
English
9.04142135
Orkney
9.06340444
British_Isles
9.38271283
Argyll
9.54715664
Kent
9.89339679
Orcadian
10.27437103
Irish
11.28349680
British
11.88256285
Cornwall
16.32113048
Hungarians
16.94028925
French
17.62272113
French
19.70687190
Croat
21.18208677
Bosnian
23.08905801
Polish
25.59175235
Italy_Aosta_Valley
26.77794988
Mixed_Slav
27.43846388
Ukranians
27.55617717
Tatar_Kazan
They must have picked up more EEF like people or mixed people along the way into western Europe. The Sarmatians were not at all as inclusive.
Clearly, Scythian is a multi-ethnic designation.
Indeed, the dark green squares are Scythians:
https://i.imgur.com/fNpx82Q.png
thanks jovialis :good_job:
i am not close to them at all .....
Distance to:
adam
13.82457233
scy192_Scythian
14.40325658
scy300_Scythian
15.92065325
scy305_Scythian
17.04597900
scy197_Scythian
21.41811149
scy311_Scythian
23.80827167
scy301_Scythian
32.99629979
scy304_Scythian
34.65056421
scy010_Scythian
35.90271995
scy011_Scythian
38.90588259
cim358_Cimmerian
40.75740424
cim357_Cimmerian
41.42351265
chy001_Sarmatian
43.48882960
chy002_Sarmatian
44.27517250
scy006_Scythian
45.15418253
tem003_Sarmatian
45.19227036
kzb001_Srubnaya
45.57104563
scy009_Scythian
46.06873343
tem002_Sarmatian
46.98691307
tem001_Sarmatian
49.05645421
cim359_Cimmerian
49.61631687
kzb006_Srubnaya
49.62143388
scy303_Scythian
50.11595854
kzb003_Srubnaya
50.35501564
mur004_Srubnaya
50.50050693
kzb009_Srubnaya
Palermo Trapani
11-04-20, 18:48
Buona Pasqua a tutti: My Single Distances Scy 192 and Scy300 are my best 2, both < 10, and the only 2 that show up in the single tab results. SC 197 is in the 10-15 range (12.88) and then one at 16.7 (Scy305), everything else > 20. Thanks again Jovialis for your hard work
Distance to:
PalermoTrapani
9.64176851
scy192_Scythian
9.83474962
scy300_Scythian
12.88004270
scy197_Scythian
16.71679694
scy305_Scythian
20.23002224
scy311_Scythian
25.63240722
scy301_Scythian
32.38220345
scy304_Scythian
34.90977943
scy010_Scythian
38.60798363
scy011_Scythian
42.25677224
cim358_Cimmerian
42.68582786
cim357_Cimmerian
43.98668094
chy001_Sarmatian
44.96534777
scy009_Scythian
45.59871051
kzb001_Srubnaya
45.91385194
scy006_Scythian
46.01443035
chy002_Sarmatian
48.00665475
tem003_Sarmatian
48.14089114
scy303_Scythian
48.29581245
tem002_Sarmatian
49.39169465
tem001_Sarmatian
49.92060897
kzb003_Srubnaya
50.29634380
kzb006_Srubnaya
51.08110120
kzb009_Srubnaya
51.29574836
kzb007_Srubnaya
51.36883880
cim359_Cimmerian
51.95131471
mur004_Srubnaya
54.08736266
scy193_Scythian
54.15616216
mur003_Srubnaya
54.94479229
kzb005_Srubnaya
56.16210466
kzb002_Srubnaya
56.16294152
kzb008_Srubnaya
56.66215668
mur002_Srubnaya
56.91261284
mur001_Srubnaya
57.41231227
kzb004_Srubnaya
76.88158362
scy332_Scythian
Target: PalermoTrapani
Distance: 9.6418% / 9.64176851 | ADC: 2x
100.0
scy192_Scythian
Target: PalermoTrapani
Distance: 9.5780% / 9.57803907 | ADC: 1x
80.2
scy192_Scythian
19.8
scy300_Scythian
Target: PalermoTrapani
Distance: 9.5643% / 9.56433510 | ADC: 0.5x
69.0
scy192_Scythian
31.0
scy300_Scythian
Target: PalermoTrapani
Distance: 9.5634% / 9.56342324 | ADC: 0.25x
66.0
scy192_Scythian
34.0
scy300_Scythian
Here are all of the Scythian, Sarmatian, Cimmerian, and Srubnaya samples. This one was tricky to get, but I found away to get the files to convert. You had to save them to a desktop, rather than an individual folder. Idk why, but it made the software work correctly:
Ancient genomes suggest the eastern Pontic-Caspian steppe as the source of western Iron Age nomads
Krzewińska et al. 2018
https://advances.sciencemag.org/content/4/10/eaat4457
https://www.ebi.ac.uk/ena/data/view/PRJEB27628
chy001_Sarmatian,22.69,8.21,0,0,13.39,40.51,3.2,0. 68,0,0.12,11.2,0
chy002_Sarmatian,25.87,8.68,0,0,12.38,37.73,0.98,0 ,0,5.7,7.85,0.82
cim357_Cimmerian,17.43,8.06,0,1.02,16.1,42.32,3.11 ,0,0,1.06,10.9,0
cim358_Cimmerian,22.58,11.12,0,3.04,8.31,32.3,3.23 ,1.43,0,5.24,12.76,0
cim359_Cimmerian,13.81,23.13,0,1.62,7.05,33.66,3.7 ,0.01,0,12.42,3.99,0.62
kzb001_Srubnaya,12.46,2.5,2.64,1.76,22.63,47.36,2. 83,1.29,0,0.82,5.72,0
kzb002_Srubnaya,21.09,3.59,0,0,18.79,54.68,0.81,0, 0,0,0.91,0.12
kzb003_Srubnaya,20.86,0.61,1.59,0,27.72,47.14,2.09 ,0,0,0,0,0
kzb004_Srubnaya,9.17,8.33,0,0,24.07,58.42,0,0,0,0, 0,0
kzb005_Srubnaya,17.86,1.95,0,0,13.6,56.88,0,1.68,0 ,0,7.96,0.06
kzb006_Srubnaya,18.13,1.71,0,0,22.3,51.06,1.34,0,0 ,0,4.15,1.3
kzb007_Srubnaya,18.39,1.92,0,0,21.93,52.11,0,1.15, 0,0,3.94,0.57
kzb008_Srubnaya,19.26,2.85,0,0.02,14.65,56.62,0.35 ,1.24,0,0,4.84,0.16
kzb009_Srubnaya,18.12,2.94,0,0,22.91,51.61,0,0,0.2 7,0,3.22,0.93
mur001_Srubnaya,21.99,3.22,0,0,18.4,55.26,0,0,0,0, 0.84,0.29
mur002_Srubnaya,20.07,0.7,0,4.28,16.77,54.31,1.06, 2.8,0,0,0,0
mur003_Srubnaya,19.28,2.35,0,0,22.87,53.76,0,0,0,0 ,1.1,0.64
mur004_Srubnaya,17.15,3.53,0,0,16.72,54.14,0,0,0,0 ,7.68,0.78
scy006_Scythian,13.82,0,6.4,3.46,14.64,45.37,0,0,1 2.79,0,3.51,0
scy009_Scythian,4.23,0,0.79,0,28.83,51.34,0,0.44,1 .95,0,10.18,2.24
scy010_Scythian,9.55,0,0,0,26.15,42.92,0.16,0,0.37 ,0.48,18.85,1.52
scy011_Scythian,16.47,8.21,1.55,0,13.83,38.9,0,2.4 1,0.95,2.23,15.44,0
scy192_Scythian,6.15,2.19,2.36,0,33.03,20.16,0.24, 0,8.81,0,27.04,0
scy193_Scythian,26.88,0.89,5.86,3.62,4.91,41.86,5. 06,3.64,7.27,0,0,0
scy197_Scythian,3.49,0.62,0.2,0,34.96,21.32,0,0.65 ,5.34,2.18,30.87,0.39
scy300_Scythian,5.95,1.42,0,1.64,33.53,20.09,0,0,1 0.58,0,26.79,0
scy301_Scythian,12.78,6.07,0,0,21.44,31.2,0.66,0,3 .58,1.56,22.02,0.69
scy303_Scythian,9.62,0.42,0,0,34.83,50.06,0,0,0,0, 3.54,1.52
scy304_Scythian,12.02,0,4.91,1.76,28.54,36.4,0.53, 0.93,0,0,13.33,1.58
scy305_Scythian,6.81,0.44,0,0.24,25.58,27.17,0,0,6 .57,3.55,29.64,0
scy311_Scythian,14.93,1.03,0,4.47,29.91,24.38,0,0, 4.36,0.37,20.21,0.35
scy332_Scythian,0,38.92,0,0,0,9.86,0,0,0,47.11,0,4 .11
tem001_Sarmatian,25.16,5.97,0,0,12.41,44.18,0,0,0, 5.3,6.98,0
tem002_Sarmatian,26.74,8.42,0,0.75,13.66,40.74,1.6 6,0,0,1.4,5.72,0.91
tem003_Sarmatian,22.48,5.77,0,0,9.89,44.11,1.85,0, 0,5.08,9.97,0.85
The term Scythian of these samples represents the Getae-Thracian group in NW black sea area and the Cimmerians as NE black sea lands
^Sure, I'll see what I can do, thanks for the link.
below is the Ydna found from these neolithic swiss
Aesch1 G2a2a-pre-L166
Aesch4 G2a2a-pre-L166
Aesch6 G2a2a-Z6484
Aesch7 G2a2a-pre-L166
Aesch12 G2a2a-pre-L166
Aesch13 G2a2a-pre-L166
Aesch14 G2a2a-pre-L166
Aesch17 G2a2a-pre-L166
Aesch19 G2a2a-pre-L166
Aesch20 G2a2a-pre-L166
Aesch21 G2a2a-pre-L166
Aesch22 G2a2a-pre-L166
Aesch23 G2a2a-pre-L166
Aesch24 G2a2a-Z6484
Aesch25 R1b-L151* (xP312,U106)
MX150 G2a2a-L91
MX182 G2a2a-PF3239
MX183 G2a2a-PF3239
MX187 G2a2a-pre-L166
MX188 I2a1a2-Y3104*
MX190 I2a1a2-Y3104*
MX191 I2a1a2-Y3104*
MX192 I2a1a2-Y3104*
MX195 I2a1a2a-pre-L161?
MX204 G2a2a-Z6484
MX209 G2a2a-pre-L166
MX210 G2a2a-pre-L166
MX211 G2a2a-pre-L166
MX212 G2a2a-pre-L166
MX213 G2a2a-pre-L166
MX219 G2a2a-PF3147
MX252 R1b-L2
MX254_2 R1b-L2
MX257 R1b-L2
MX258 R1b-P312
MX259 R1b-P312
MX265 R1a-M458
MX270 R1b-L20
MX275 R1b-L2
MX279 R1b-L2
MX283 R1b-L2
MX286 R1b-L2
MX288 R1b-L2
SNPRA58 G2a2a-Z6484
SNPRA61 G2a2a-pre-L166
SNPRA62 G2a2a-pre-L166
SNPRA63 R1b-L2
SNPRA64 R1b-L2
SX10 G2a2a-L166
SX11 G2a2b-PF3345*
SX20 R1b-P312
SX29 I2a1a2-M423 (xL621)
SX32 R1b-L52 (xP312,U106)
SX33 I2a1a2a-L161
below is the Ydna found from these neolithic swiss
Aesch1 G2a2a-pre-L166
Aesch4 G2a2a-pre-L166
Aesch6 G2a2a-Z6484
Aesch7 G2a2a-pre-L166
Aesch12 G2a2a-pre-L166
Aesch13 G2a2a-pre-L166
Aesch14 G2a2a-pre-L166
Aesch17 G2a2a-pre-L166
Aesch19 G2a2a-pre-L166
Aesch20 G2a2a-pre-L166
Aesch21 G2a2a-pre-L166
Aesch22 G2a2a-pre-L166
Aesch23 G2a2a-pre-L166
Aesch24 G2a2a-Z6484
Aesch25 R1b-L151* (xP312,U106)
MX150 G2a2a-L91
MX182 G2a2a-PF3239
MX183 G2a2a-PF3239
MX187 G2a2a-pre-L166
MX188 I2a1a2-Y3104*
MX190 I2a1a2-Y3104*
MX191 I2a1a2-Y3104*
MX192 I2a1a2-Y3104*
MX195 I2a1a2a-pre-L161?
MX204 G2a2a-Z6484
MX209 G2a2a-pre-L166
MX210 G2a2a-pre-L166
MX211 G2a2a-pre-L166
MX212 G2a2a-pre-L166
MX213 G2a2a-pre-L166
MX219 G2a2a-PF3147
MX252 R1b-L2
MX254_2 R1b-L2
MX257 R1b-L2
MX258 R1b-P312
MX259 R1b-P312
MX265 R1a-M458
MX270 R1b-L20
MX275 R1b-L2
MX279 R1b-L2
MX283 R1b-L2
MX286 R1b-L2
MX288 R1b-L2
SNPRA58 G2a2a-Z6484
SNPRA61 G2a2a-pre-L166
SNPRA62 G2a2a-pre-L166
SNPRA63 R1b-L2
SNPRA64 R1b-L2
SX10 G2a2a-L166
SX11 G2a2b-PF3345*
SX20 R1b-P312
SX29 I2a1a2-M423 (xL621)
SX32 R1b-L52 (xP312,U106)
SX33 I2a1a2a-L161Thank you, torzio.
Curiously, lots of G2a2a (uncommon in the area nowadays) and just a single G2a2b (more common nowadays).
Thank you, torzio.
Curiously, lots of G2a2a (uncommon in the area nowadays) and just a single G2a2b (more common nowadays).
It usually is seen along the Rhine , belgium , flanders and in old german area
Halberstadt in Germany
G2a2a1-PF3170 and negative for subgroups is found in an ancient skeleton dated about 7000 years old, in a man buried in Halberstadt, Germany. sample I0659 from grave #35
near where they found the 3 x T1a1 ydna in Karlsdorf ...same time period ...........and also with ydna H
some have this theory below ...........note also the L497 areas
https://i.postimg.cc/YCBnJKgb/g2a.png (https://postimages.org/)
It usually is seen along the Rhine , belgium , flanders and in old german area
Halberstadt in Germany
G2a2a1-PF3170 and negative for subgroups is found in an ancient skeleton dated about 7000 years old, in a man buried in Halberstadt, Germany. sample I0659 from grave #35
near where they found the 3 x T1a1 ydna in Karlsdorf ...same time period ...........and also with ydna H
some have this theory below ...........note also the L497 areas
https://i.postimg.cc/YCBnJKgb/g2a.png (https://postimages.org/)Interesting hypotheses. Thanks for sharing.
Indeed, there would have been more than one route and more than one wave in Neolithic, from Anatolia. IIRC, Cardial (Mediterranean route) was poor in G-P303, like the first wave through the so-called Danubian route, whereas the second wave would be rich in G-P303. I'd have to revisit the old papers to confirm it. :)
below is the Ydna found from these neolithic swiss
Aesch1 G2a2a-pre-L166
Aesch4 G2a2a-pre-L166
Aesch6 G2a2a-Z6484
Aesch7 G2a2a-pre-L166
Aesch12 G2a2a-pre-L166
Aesch13 G2a2a-pre-L166
Aesch14 G2a2a-pre-L166
Aesch17 G2a2a-pre-L166
Aesch19 G2a2a-pre-L166
Aesch20 G2a2a-pre-L166
Aesch21 G2a2a-pre-L166
Aesch22 G2a2a-pre-L166
Aesch23 G2a2a-pre-L166
Aesch24 G2a2a-Z6484
Aesch25 R1b-L151* (xP312,U106)
MX150 G2a2a-L91
MX182 G2a2a-PF3239
MX183 G2a2a-PF3239
MX187 G2a2a-pre-L166
MX188 I2a1a2-Y3104*
MX190 I2a1a2-Y3104*
MX191 I2a1a2-Y3104*
MX192 I2a1a2-Y3104*
MX195 I2a1a2a-pre-L161?
MX204 G2a2a-Z6484
MX209 G2a2a-pre-L166
MX210 G2a2a-pre-L166
MX211 G2a2a-pre-L166
MX212 G2a2a-pre-L166
MX213 G2a2a-pre-L166
MX219 G2a2a-PF3147
MX252 R1b-L2
MX254_2 R1b-L2
MX257 R1b-L2
MX258 R1b-P312
MX259 R1b-P312
MX265 R1a-M458
MX270 R1b-L20
MX275 R1b-L2
MX279 R1b-L2
MX283 R1b-L2
MX286 R1b-L2
MX288 R1b-L2
SNPRA58 G2a2a-Z6484
SNPRA61 G2a2a-pre-L166
SNPRA62 G2a2a-pre-L166
SNPRA63 R1b-L2
SNPRA64 R1b-L2
SX10 G2a2a-L166
SX11 G2a2b-PF3345*
SX20 R1b-P312
SX29 I2a1a2-M423 (xL621)
SX32 R1b-L52 (xP312,U106)
SX33 I2a1a2a-L161
thanks for sharing
alot of neolithic G
nice number of r1b
some I-M170
no e-v13 .....
there is one r1a though .....
MX265 R1a-M458
@Jovialis
can you do these ancient swiss samples
https://trace.ncbi.nlm.nih.gov/Traces/sra/?study=SRP250694
Aesch1_Switzerland_LN,0,0,3.71,0,66.18,7.18,0.1,0, 8.62,0.78,13.43,0
Aesch2_Switzerland_LN,0,0,7.65,0,66.67,7.92,0,0,4. 97,0.82,11.96,0
Aesch3_Switzerland_LN,0,0,5.59,0,63.58,9.56,0,0,8. 39,0,12.75,0.13
Aesch4_Switzerland_LN,0,0,4.15,0.94,66.08,11.31,0, 0,5.28,0,12.23,0
Aesch5_Switzerland_LN,0,0,6.71,0,65.75,7.17,0,0,9. 84,0,10.52,0.01
Aesch6_Switzerland_LN,0,0,0.41,0,65.34,15.79,0,0,7 .99,0,10.48,0
Aesch7_Switzerland_LN,0,0,4.34,1.17,66.01,16.85,0, 0,5.82,0,5.8,0
Aesch8_Switzerland_LN,0,0,3.16,0,69.84,9.55,0,0,5. 63,0,11.82,0
Aesch9_Switzerland_LN,0,0,3.59,0.42,66.55,9.89,0,0 ,7.08,0,12.47,0
Aesch10_Switzerland_LN,0,0,2.83,0,67.95,8.35,0,0,1 0.36,0,10.51,0
Aesch11_Switzerland_LN,0,0,3.33,0,66.66,8.37,0,0,1 0.13,0,11.51,0
Aesch12_Switzerland_LN,0,0,6.05,0,67.21,5.74,0,0,8 .64,0,12.36,0
Aesch13_Switzerland_LN,0,0.29,1.51,0,66.45,11.72,0 ,0,8.88,0,11.15,0
Aesch14_Switzerland_LN,0,0,3.95,0.05,64.63,9.07,0, 0,8.17,0,14.13,0
Aesch15_Switzerland_LN,0,0,6.31,0,65.27,7.99,0,0,6 .11,0,14.32,0
Aesch16_Switzerland_LN,0,0,2.87,1.21,64.89,5.04,0, 0,7.24,2.37,16.18,0.19
Aesch17_Switzerland_LN,0,0,2.97,0,65.99,9.59,0,0.2 5,8.32,0,12.87,0
Aesch18_Switzerland_LN,0,0.63,4.59,0.22,66.83,8.09 ,0,0,6.54,0,13.1,0
Aesch19_Switzerland_LN,0,0,5.11,0,65.16,10.36,0,0, 6.56,0,12.81,0
Aesch20_Switzerland_LN,0,0,4.2,0,70.33,10.34,0,0.0 1,5.89,0.96,8.27,0
Aesch21_Switzerland_LN,0,0,3.33,0,71.19,6.19,0,0,8 .6,0,10.7,0
Aesch22_Switzerland_LN,0,0,6.76,0,62.73,11.6,0,0,8 .68,0,10.22,0
Aesch23_Switzerland_LN,0,0,5.22,0,65.35,9.68,0,0,7 .5,0,12.14,0.12
Aesch24_Switzerland_LN,0,0,3.71,0,69.79,7,0,0,6.34 ,0,13.12,0.04
Aesch25_Switzerland_LN,19.79,1.15,0,0,22.9,54.84,0 .46,0,0,0,0,0.85
MX150_Switzerland_LN,0,0,5.07,0,65.3,12.1,0,0,8.8, 0,8.73,0
MX182_Switzerland_LN,0,0,3.96,0.11,67.25,10.62,0,0 ,5.85,0.95,11.28,0
MX184_Switzerland_LN,0,0,5.43,0,67.14,11.44,0,0.17 ,6.62,0.5,8.7,0
MX187_Switzerland_LN,0,0,4.04,0,63.5,10.05,0,0,9.0 7,0.45,12.9,0
MX188_Switzerland_LN,11.73,1.32,0.22,0,32.48,45.7, 0.08,0,1.03,0,5.87,1.58
MX189_Switzerland_LN,12.54,0.35,0,0,29.82,49.52,2. 24,0,0,0,4.56,0.97
MX190_Switzerland_LN,10.77,0.64,0,0,30.77,46.37,1. 03,0,0,0,9.44,0.99
MX191_Switzerland_LN,13.34,0.57,0,0,30.24,48.68,1. 75,1.49,0,0.57,3.18,0.19
MX192_Switzerland_LN,12.57,2.53,0,0.71,36.08,45.32 ,0,0,0,0,1.61,1.18
MX193_Switzerland_LN,0,0,6.15,0,69.29,11.27,0,0,5. 18,0.13,7.99,0
MX195_Switzerland_LN,13.57,1.95,0,0,33.6,47.12,1.7 ,0.7,0,0,1.37,0
MX196_Switzerland_LN,14.19,0.22,0,0,25.72,49.79,1. 85,0,0,0.37,7.31,0.55
MX197_Switzerland_LN,18.11,1.82,0,0.16,32.9,46.05, 0.13,0,0,0,0,0.82
MX198_Switzerland_LN,13.48,0.13,0.49,1.11,26.65,49 .32,0,1.28,0.59,0.28,6.28,0.4
MX199_Switzerland_LN,11.99,1.73,0,0.11,25.53,48.5, 0,0.13,0.16,0,11.11,0.73
MX203_Switzerland_LN,0,0,1.01,0,65.69,4.67,0,0,9.4 4,0,19.19,0
MX204_Switzerland_LN,0,0,2.92,0,64.97,8.67,0,0,6.0 9,0,17.36,0
MX209_Switzerland_LN,0,0,3.46,0,67.58,7.28,0,0,12. 41,0.28,8.98,0
MX210_Switzerland_LN,0,0,3.1,0,70.95,13.4,0,0,5.65 ,0,6.9,0
MX211_Switzerland_LN,0,0.49,3.42,0,67.72,8.67,0,0, 6.99,0,12.71,0
MX212_Switzerland_LN,0,0,4.83,0.27,65.29,12.59,0,0 .23,7.71,0,9.08,0
MX213_Switzerland_LN,0,0,4.38,0.24,70.68,9.84,0,0, 7.35,0,7.5,0
MX219_Switzerland_LN,0,0,8.66,0,58.62,11.03,0,0,5. 35,0,16.34,0
MX251_Switzerland_LN,10.06,0,4.03,0,39.16,39.32,0, 0.31,3.9,0,3.21,0
MX252_Switzerland_LN,9.15,0.25,3.78,0,41.38,39.16, 1.43,0.32,1.25,0,3.28,0
MX254_Switzerland_LN,4.38,1.63,0.65,0.46,39.62,36. 79,0,0,4.57,0,11.9,0
MX256_Switzerland_LN,0,0,0,2.04,43.65,32.73,2.88,0 ,0,5.18,13.53,0
MX257_Switzerland_LN,10.1,0,3.02,0.37,38.44,38.68, 1.48,0.39,0.78,0,5.69,1.05
MX258_Switzerland_LN,10.64,0,1.89,0,35.77,37.82,0. 6,0,5.98,0,7.3,0
MX259_Switzerland_LN,9.25,0.78,1.15,0,34.14,38.69, 0,1.39,0,0,14.61,0
MX265_Switzerland_LN,0.53,0.13,1.81,0.27,31.81,42. 65,0.59,0.32,4.16,0,17.73,0
MX270_Switzerland_LN,11.76,1.7,0.05,0,38.15,37.74, 0,0.77,3.14,0,6.69,0
MX275_Switzerland_LN,11.38,1.66,3.37,0.31,42.51,36 .22,0.34,0,1.44,0,2.77,0
MX277_Switzerland_LN,4.23,0,4.24,0,43.64,33.58,0,1 .51,1.37,0.25,11.19,0
MX279_Switzerland_LN,7.32,0.19,0,0,38.72,41.41,3.0 7,0,2.75,0,6.54,0
MX280_Switzerland_LN,7.41,0.84,0.7,0,38.85,42.16,0 .72,0,0.75,0,7.79,0.77
MX283_Switzerland_LN,6.19,0.87,0.87,0.46,44.75,34. 26,0,0,2.98,0,8.88,0.73
MX286_Switzerland_LN,8.93,0,0,1.61,42.87,34.81,0,0 ,1.7,0,9.82,0.27
MX288_Switzerland_LN,6.34,1.12,0,0.4,42.57,39.93,0 .45,0,0.49,0.27,8.18,0.24
MX298_Switzerland_LN,10.03,0,0,0,47.19,32.05,0,1.9 5,5.39,0,3.39,0
MX299_Switzerland_LN,1.4,0,1.6,0,46.59,26.18,0.64, 0,4.12,0,19.33,0.13
MX304_Switzerland_LN,0,2.13,0,0,37.85,44.06,0,0,0, 2.75,12.19,1.03
MX310_Switzerland_LN,2.3,0,0,0,17.55,53.03,1.07,0, 5.65,0,20.4,0
SNPRA42_Switzerland_LN,0,0,3.26,2.46,59.56,10.57,0 ,0,8.49,0,15.65,0
SNPRA43_Switzerland_LN,0,1.57,7.31,0,63.13,9.23,0, 0,3.63,1.95,13.19,0
SNPRA44_Switzerland_LN,0,0.35,5.22,0,66.32,12.8,0, 0,6.23,0,9.08,0
SNPRA45_Switzerland_LN,0,0,4.93,0.5,69.35,4.99,0.5 4,0,8.32,0.43,10.94,0
SNPRA54_Switzerland_LN,0,0.4,1.52,0,67.74,3.83,0,0 ,0,0,25.21,1.3
SNPRA57_Switzerland_LN,0,0.3,7.09,0,62.83,11.34,0, 0,7.56,0,10.87,0
SNPRA58_Switzerland_LN,0,0,4.43,0.22,66.91,11.95,0 ,0,3.25,0,13.24,0
SNPRA59_Switzerland_LN,0,0.67,6.64,0,61.52,17.53,0 ,0,5.91,0,7.74,0
SNPRA61_Switzerland_LN,0,0,4.19,0.19,67.32,11.42,0 ,0,5.27,0,11.61,0
SNPRA62_Switzerland_LN,0,0,4.73,0.03,61.93,14.32,0 ,0,6.06,0,12.86,0.08
SNPRA63_Switzerland_LN,12.1,0,2.79,2.89,42.92,33.4 3,0,0.03,0.53,0,5.32,0
SNPRA64_Switzerland_LN,12.09,0.79,0,0.25,35.92,41. 73,1.58,0,1.7,0,5.54,0.39
SX8_Switzerland_LN,0,0,3.21,0.78,67.04,9.89,0,0,6. 58,0,12.24,0.26
SX9_Switzerland_LN,0,0,2.25,0,62.87,11.69,0,0,11.2 7,0,11.93,0
SX10_Switzerland_LN,0,0,0.83,1.17,71.24,9.84,0,0,8 .24,0.31,8.37,0
SX11_Switzerland_LN,0,0,5.83,0.15,61.06,13.94,0,0, 7.02,0,12.01,0
SX17_Switzerland_LN,0,0,5.88,0,64.01,7.14,0,0,5.82 ,0,17.15,0
SX18_Switzerland_LN,3.4,0.37,0.78,0.46,49.34,24.63 ,0,0,1.52,0,18.83,0.68
SX20_Switzerland_LN,4.27,0,2.11,0.98,45.73,33.5,0, 0,2.6,0,10.8,0
SX21_Switzerland_LN,0,0,6.76,0,59.87,5.27,0,0,8.58 ,0.24,19.29,0
SX22_Switzerland_LN,0,0,4.2,0,63.02,8.65,0,0,7.44, 0,16.69,0
SX23_Switzerland_LN,6.78,1.2,0,0,37.31,40.93,0.79, 0.26,1.99,0,10.75,0
SX26_Switzerland_LN,0,0,3.59,0,61.52,8.21,0,0,8.01 ,0.12,18.55,0
SX29_Switzerland_LN,0,0,3.22,0,54.51,7.97,0,0,9.1, 0,25.19,0
SX30_Switzerland_LN,0,0,4.04,0.75,57.89,3.69,0,0,9 .78,0.63,23.22,0
SX32_Switzerland_LN,13.63,0.33,0,0,29.97,46.28,1.1 7,0.35,0,0,8.27,0
SX33_Switzerland_LN,0,0,4.35,0.12,55.59,0,0,0,12.7 6,0,27.18,0
https://i.imgur.com/gEiUlsL.png
https://i.imgur.com/LqPB1c9.png
Thanks Jovialis :)
Distance to:
Duarte
11.57087724
MX299_Switzerland_LN
12.05905469
SX18_Switzerland_LN
12.23096071
MX277_Switzerland_LN
13.00622159
SX20_Switzerland_LN
13.97631568
MX283_Switzerland_LN
14.85110097
MX286_Switzerland_LN
15.29105621
MX256_Switzerland_LN
15.94137384
SNPRA63_Switzerland_LN
15.95190584
MX254_Switzerland_LN
16.72060705
MX298_Switzerland_LN
18.69751588
MX275_Switzerland_LN
19.08602892
MX257_Switzerland_LN
19.09634258
MX258_Switzerland_LN
19.24047557
MX270_Switzerland_LN
19.42911732
MX288_Switzerland_LN
19.59785703
MX259_Switzerland_LN
20.07728318
MX252_Switzerland_LN
20.34779595
SX23_Switzerland_LN
20.42576314
MX251_Switzerland_LN
21.48790823
MX280_Switzerland_LN
21.53046446
MX279_Switzerland_LN
22.32181668
MX219_Switzerland_LN
22.33997314
SNPRA59_Switzerland_LN
22.65554678
SX11_Switzerland_LN
23.12345995
SNPRA62_Switzerland_LN
23.40222212
SNPRA64_Switzerland_LN
23.59484266
SNPRA42_Switzerland_LN
23.84075083
MX304_Switzerland_LN
24.11789170
MX265_Switzerland_LN
25.07315696
SX29_Switzerland_LN
25.43311621
SNPRA57_Switzerland_LN
25.48167577
Aesch22_Switzerland_LN
26.32171727
SX9_Switzerland_LN
26.43965582
SNPRA43_Switzerland_LN
26.59222443
Aesch6_Switzerland_LN
26.69902433
SX26_Switzerland_LN
26.82204317
MX187_Switzerland_LN
26.90898549
Aesch3_Switzerland_LN
26.91826517
Aesch7_Switzerland_LN
27.12462903
SX22_Switzerland_LN
27.15159480
MX212_Switzerland_LN
27.34840032
MX188_Switzerland_LN
27.51317503
SX21_Switzerland_LN
27.58416394
Aesch19_Switzerland_LN
27.60905830
MX150_Switzerland_LN
27.79228130
SNPRA44_Switzerland_LN
27.85525444
Aesch4_Switzerland_LN
27.89143417
MX192_Switzerland_LN
27.90396388
MX190_Switzerland_LN
28.07079799
Aesch14_Switzerland_LN
28.16488949
Aesch23_Switzerland_LN
28.26521714
SNPRA58_Switzerland_LN
28.54239829
SX17_Switzerland_LN
28.69560942
MX204_Switzerland_LN
28.80495617
SX30_Switzerland_LN
28.82049097
Aesch13_Switzerland_LN
28.82197946
Aesch15_Switzerland_LN
28.92715852
SNPRA61_Switzerland_LN
28.99794820
Aesch17_Switzerland_LN
29.09235123
Aesch9_Switzerland_LN
29.10480888
MX184_Switzerland_LN
29.11498411
SX32_Switzerland_LN
29.28381635
MX182_Switzerland_LN
29.43572829
SX8_Switzerland_LN
29.95575070
Aesch2_Switzerland_LN
30.06863316
Aesch18_Switzerland_LN
30.25994217
Aesch5_Switzerland_LN
30.35341991
Aesch1_Switzerland_LN
30.44695059
MX195_Switzerland_LN
30.47984088
Aesch11_Switzerland_LN
30.60891373
Aesch16_Switzerland_LN
30.65575150
MX211_Switzerland_LN
31.03754178
MX193_Switzerland_LN
31.69159037
Aesch10_Switzerland_LN
31.73710762
MX197_Switzerland_LN
31.85491956
Aesch12_Switzerland_LN
31.98827754
Aesch8_Switzerland_LN
32.01861334
MX191_Switzerland_LN
32.12923435
MX210_Switzerland_LN
32.18141389
MX199_Switzerland_LN
32.25902819
MX189_Switzerland_LN
32.36442646
Aesch20_Switzerland_LN
32.41776211
MX203_Switzerland_LN
32.50059076
MX209_Switzerland_LN
32.59177657
SX33_Switzerland_LN
33.04214279
MX198_Switzerland_LN
33.09137501
Aesch24_Switzerland_LN
33.09237374
MX213_Switzerland_LN
33.88874592
SX10_Switzerland_LN
33.96636424
SNPRA45_Switzerland_LN
34.08226372
MX196_Switzerland_LN
35.01349740
Aesch21_Switzerland_LN
35.46889764
SNPRA54_Switzerland_LN
40.44605914
MX310_Switzerland_LN
42.61739082
Aesch25_Switzerland_LN
https://i.imgur.com/Nc5MDXo.png
Target: Torziok12b
Distance: 3.9149% / 3.91491945 | ADC: 0.25x
54.6
MX259_Switzerland_LN
29.8
SX33_Switzerland_LN
15.6
MX310_Switzerland_LN
Distance to:
Torziok12b
12.59470127
MX299_Switzerland_LN
13.68046052
MX254_Switzerland_LN
14.25829232
MX259_Switzerland_LN
15.12795756
MX277_Switzerland_LN
15.35924152
SX18_Switzerland_LN
15.78438786
MX286_Switzerland_LN
15.93504628
SX20_Switzerland_LN
16.32076285
MX256_Switzerland_LN
16.67200948
MX283_Switzerland_LN
16.95557725
MX265_Switzerland_LN
17.17908321
SX23_Switzerland_LN
17.19705207
MX258_Switzerland_LN
18.46855706
MX270_Switzerland_LN
19.69874361
MX288_Switzerland_LN
19.80602686
SNPRA63_Switzerland_LN
19.92498934
MX257_Switzerland_LN
20.36119103
MX280_Switzerland_LN
20.42601772
MX279_Switzerland_LN
21.02531569
MX304_Switzerland_LN
21.68738343
MX298_Switzerland_LN
21.79099126
MX251_Switzerland_LN
21.81797195
SNPRA64_Switzerland_LN
22.15192994
MX275_Switzerland_LN
22.42641300
MX252_Switzerland_LN
23.47896718
MX190_Switzerland_LN
DodecadK12b. Can anyone get farther away ? :embarassed:
12019
Distance to:
Angela
12.33096914
MX299_Switzerland_LN
13.74084422
SX18_Switzerland_LN
18.75650820
SX29_Switzerland_LN
21.46235309
MX256_Switzerland_LN
21.96523162
MX277_Switzerland_LN
22.25586664
SX20_Switzerland_LN
23.24060886
MX254_Switzerland_LN
23.54263579
MX219_Switzerland_LN
24.00673655
MX283_Switzerland_LN
24.03900996
MX286_Switzerland_LN
24.22590762
SNPRA42_Switzerland_LN
24.24752977
SX30_Switzerland_LN
25.09396342
MX259_Switzerland_LN
25.43743501
SX26_Switzerland_LN
25.75116696
SX21_Switzerland_LN
25.76708559
SX33_Switzerland_LN
26.30128514
SNPRA62_Switzerland_LN
26.30138780
SX11_Switzerland_LN
27.08770016
MX265_Switzerland_LN
27.11809543
SX22_Switzerland_LN
27.49915635
SNPRA63_Switzerland_LN
27.68234455
SX23_Switzerland_LN
28.04048323
MX258_Switzerland_LN
28.11758702
MX298_Switzerland_LN
28.40213372
MX204_Switzerland_LN
The combination isn't that bad...
Target: Angela
Distance: 5.5702% / 5.57018636
53.2
SX33_Switzerland_LN
26.0
MX310_Switzerland_LN
16.8
MX259_Switzerland_LN
4.0
SNPRA54_Switzerland_LN
Distance to:
Angela
12.33096914
MX299_Switzerland_LN
13.74084422
SX18_Switzerland_LN
18.75650820
SX29_Switzerland_LN
21.46235309
MX256_Switzerland_LN
21.96523162
MX277_Switzerland_LN
22.25586664
SX20_Switzerland_LN
23.24060886
MX254_Switzerland_LN
23.54263579
MX219_Switzerland_LN
24.00673655
MX283_Switzerland_LN
24.03900996
MX286_Switzerland_LN
24.22590762
SNPRA42_Switzerland_LN
24.24752977
SX30_Switzerland_LN
25.09396342
MX259_Switzerland_LN
25.43743501
SX26_Switzerland_LN
25.75116696
SX21_Switzerland_LN
25.76708559
SX33_Switzerland_LN
26.30128514
SNPRA62_Switzerland_LN
26.30138780
SX11_Switzerland_LN
27.08770016
MX265_Switzerland_LN
27.11809543
SX22_Switzerland_LN
27.49915635
SNPRA63_Switzerland_LN
27.68234455
SX23_Switzerland_LN
28.04048323
MX258_Switzerland_LN
28.11758702
MX298_Switzerland_LN
28.40213372
MX204_Switzerland_LN
The combination isn't that bad...
Target: Angela
Distance: 5.5702% / 5.57018636
53.2
SX33_Switzerland_LN
26.0
MX310_Switzerland_LN
16.8
MX259_Switzerland_LN
4.0
SNPRA54_Switzerland_LN
Everyone's closest sample so far: MX99 is a woman so no yDna.
WHG:Anatolia Neolithic:Yamnaya Samarra
0.212
0.74
0.048
For my particular mix:
53.2
SX33_Switzerland_LN I2a1a2a-L161
0.036
0.882
0.082
26.0
MX310_Switzerland_LN
0.168
0.782
0.05
16.8
MX259_Switzerland_LN R1b-P312
This one above has a lot of steppe:
0.146
0.313
0.541
4.0
SNPRA54_Switzerland_LN R1b-L2
Couldn't find it for some reason.
Anyone know where I can find the mtDna by sample designation?
Also...the matchiest one for most of us: MX299
And there we have it: Reasonably close to Swiss Italians, and for the rest Northern Italians, with Ligurians at 11 and Emilians are at 12, which is also what I get. :) Well, good for Swiss Italians. How's that for continuity since the Neolithic.
Distance to:
MX299_Switzerland_LN
7.86760208
Swiss_Italian
8.32155634
Baleares
8.66289609
Italy_Aosta_Valley
8.80006372
Italy_Lombardy
9.50976971
Italy_Trentino
10.30051940
Galicia
10.42783439
Italy_Piedmont
11.21987332
Italy_Veneto
11.36515878
Italy_Liguria
12.02383882
Extremadura
12.24202561
Italy_Emilia
12.35363509
Spaniards
12.65125685
Castilla_Y_Leon
12.87222980
Murcia
12.96705055
Portuguese
13.03473437
Cataluna
13.30628859
Italy_FriuliVG
13.74800167
Italy_Tuscany
13.78275372
Andalucia
13.81295754
France_Corsica
13.92482316
Spanish
14.33911783
Cantabria
14.75452134
Valencia
15.16549702
Castilla_La_Mancha
15.80986717
Aragon
The one from which I draw the most ancestry?
Distance to:
SX33_Switzerland_LN
17.74760266
Sardinian
24.62424366
France_Corsica
26.16187684
Andalucia
27.29518273
Murcia
28.52495399
Baleares
28.54731161
Canarias
29.94709218
Italy_Tuscany
30.00704917
Castilla_La_Mancha
30.35142501
Castilla_Y_Leon
30.36952851
Italy_Liguria
30.36969769
Italy_Marche
30.43795011
Italy_Emilia
30.52892071
Spaniards
30.58701031
Italy_Romagna
30.62304035
Extremadura
30.66261241
Morocco_Jews
30.68207946
Galicia
30.78280039
Valencia
30.82295898
Aragon
31.25414373
Portuguese
31.27009558
Italy_Lombardy
31.28882548
Spanish
31.69249227
Italy_Campania
31.88474557
Cantabria
31.98319971
Italy_Lazio
There's all that Sardinian and Spanish I always pick up. Somehow, I think my remote areas are very high in this ancient EEF type ancestry, and my Spanish affinity may be very ancient as well. Cardial, perhaps?
Next, a steppe heavy one shows up...unless I did something wrong, there's an error. On the excel page, this is supposedly 5% steppe, which makes no sense.
I draw a quarter of my ancestry from this supposedly.
Distance to:
MX310_Switzerland_LN
10.56213993
Ukranians
11.02666767
Rus_Smolensk
11.16888983
Rus_Kostroma
11.82433085
Hungarians
12.94697648
Rus_Tver
13.28619584
Southwest_Rus
13.52036612
Bosnian
13.89752136
Croat
13.99387366
Mixed_Slav
14.10285432
Polish
17.03985915
Mordovians
17.09695879
Belorussian
20.11568542
Romanians
20.39948039
German
21.03739765
Rus_Pinega
21.33617117
Pomak
21.60168512
Bulgarian
22.19832877
Bulgarians
22.36958203
Tatar_Kazan
22.87010713
Macedonian
23.84304511
Lithuanian
25.09249091
Gagauz
25.77997867
Chuvash
25.93574368
Swedish
25.96865226
Turk_Romania
Distance to:
MX259_Switzerland_LN
11.07642993
Mixed_Germanic
11.19961160
German
11.53935873
Croat
12.39836280
French
12.51147626
Italy_Aosta_Valley
12.54265522
Bosnian
12.67442701
French
13.16173621
Dutch
13.55712064
Italy_Trentino
13.66584428
Hungarians
14.32200810
Italy_FriuliVG
14.59410840
Kent
14.91406383
CEU30
15.10508193
English
15.29345162
Swiss_Italian
15.58592634
Macedonian
16.06895844
Italy_Veneto
16.64251483
British_Isles
16.66449219
Cornwall
16.69550599
Italy_Piedmont
17.23453800
British
17.58532627
Pomak
17.60685378
Argyll
18.28327925
Irish
18.46221276
Orcadian
Distance to:
SNPRA54_Switzerland_LN
8.82408069
Sardinian
25.72531827
Andalucia
27.90657629
Valencia
27.94614464
Aragon
28.64672756
Castilla_La_Mancha
28.72721706
Murcia
29.17884508
Spaniards
29.36233983
Baleares
29.42150574
Cantabria
30.24174267
Castilla_Y_Leon
30.41365483
Spanish
30.66866479
French_Basque
31.34283012
Canarias
31.82911246
Extremadura
32.02906493
Cataluna
32.11195416
Galicia
32.60566233
France_Corsica
32.69545840
Pais_Vasco
33.02487699
Portuguese
36.24869815
Italy_Lombardy
36.89030401
Italy_Liguria
36.89224757
Italy_Emilia
37.17355794
Italy_Tuscany
38.24146588
Swiss_Italian
38.52528157
Italy_Piedmont
Well, on other tests I get about 25% "steppe", so I guess it fits.
It would be interesting to see what Swiss Germans get. Swiss Italians are at about a 7 with one of the samples, although I don't know about the others.
italouruguayan
23-04-20, 17:51
Mine
Distance to: italouruguayan
19.75709493 MX259_Switzerland_LN
20.64923001 MX254_Switzerland_LN
21.25218812 MX258_Switzerland_LN
21.53405443 MX265_Switzerland_LN
22.66651716 SX23_Switzerland_LN
22.90805535 MX256_Switzerland_LN
22.93264703 MX270_Switzerland_LN
22.99793034 MX277_Switzerland_LN
23.50641615 MX286_Switzerland_LN
23.69529067 MX299_Switzerland_LN
24.09997718 MX257_Switzerland_LN
24.24651315 MX283_Switzerland_LN
24.52169652 SX20_Switzerland_LN
25.19305063 SNPRA64_Switzerland_LN
25.20693357 MX279_Switzerland_LN
25.25239395 SNPRA63_Switzerland_LN
25.35815056 MX304_Switzerland_LN
25.36605212 MX280_Switzerland_LN
25.67852410 MX251_Switzerland_LN
25.85922659 MX190_Switzerland_LN
26.04043010 MX288_Switzerland_LN
26.09811487 SX18_Switzerland_LN
26.50530324 MX275_Switzerland_LN
26.67662272 MX188_Switzerland_LN
26.79602023 SX32_Switzerland_LN
Everyone's closest sample so far: MX99 is a woman so no yDna.
WHG:Anatolia Neolithic:Yamnaya Samarra
0.212
0.74
0.048
For my particular mix:
53.2
SX33_Switzerland_LN I2a1a2a-L161
0.036
0.882
0.082
26.0
MX310_Switzerland_LN
0.168
0.782
0.05
16.8
MX259_Switzerland_LN R1b-P312
This one above has a lot of steppe:
0.146
0.313
0.541
4.0
SNPRA54_Switzerland_LN R1b-L2
Couldn't find it for some reason.
Anyone know where I can find the mtDna by sample designation?
Also...the matchiest one for most of us: MX299
And there we have it: Reasonably close to Swiss Italians, and for the rest Northern Italians, with Ligurians at 11 and Emilians are at 12, which is also what I get. :) Well, good for Swiss Italians. How's that for continuity since the Neolithic.
Distance to:
MX299_Switzerland_LN
7.86760208
Swiss_Italian
8.32155634
Baleares
8.66289609
Italy_Aosta_Valley
8.80006372
Italy_Lombardy
9.50976971
Italy_Trentino
10.30051940
Galicia
10.42783439
Italy_Piedmont
11.21987332
Italy_Veneto
11.36515878
Italy_Liguria
12.02383882
Extremadura
12.24202561
Italy_Emilia
12.35363509
Spaniards
12.65125685
Castilla_Y_Leon
12.87222980
Murcia
12.96705055
Portuguese
13.03473437
Cataluna
13.30628859
Italy_FriuliVG
13.74800167
Italy_Tuscany
13.78275372
Andalucia
13.81295754
France_Corsica
13.92482316
Spanish
14.33911783
Cantabria
14.75452134
Valencia
15.16549702
Castilla_La_Mancha
15.80986717
Aragon
The one from which I draw the most ancestry?
Distance to:
SX33_Switzerland_LN
17.74760266
Sardinian
24.62424366
France_Corsica
26.16187684
Andalucia
27.29518273
Murcia
28.52495399
Baleares
28.54731161
Canarias
29.94709218
Italy_Tuscany
30.00704917
Castilla_La_Mancha
30.35142501
Castilla_Y_Leon
30.36952851
Italy_Liguria
30.36969769
Italy_Marche
30.43795011
Italy_Emilia
30.52892071
Spaniards
30.58701031
Italy_Romagna
30.62304035
Extremadura
30.66261241
Morocco_Jews
30.68207946
Galicia
30.78280039
Valencia
30.82295898
Aragon
31.25414373
Portuguese
31.27009558
Italy_Lombardy
31.28882548
Spanish
31.69249227
Italy_Campania
31.88474557
Cantabria
31.98319971
Italy_Lazio
There's all that Sardinian and Spanish I always pick up. Somehow, I think my remote areas are very high in this ancient EEF type ancestry, and my Spanish affinity may be very ancient as well. Cardial, perhaps?
Next, a steppe heavy one shows up...unless I did something wrong, there's an error. On the excel page, this is supposedly 5% steppe, which makes no sense.
I draw a quarter of my ancestry from this supposedly.
Distance to:
MX310_Switzerland_LN
10.56213993
Ukranians
11.02666767
Rus_Smolensk
11.16888983
Rus_Kostroma
11.82433085
Hungarians
12.94697648
Rus_Tver
13.28619584
Southwest_Rus
13.52036612
Bosnian
13.89752136
Croat
13.99387366
Mixed_Slav
14.10285432
Polish
17.03985915
Mordovians
17.09695879
Belorussian
20.11568542
Romanians
20.39948039
German
21.03739765
Rus_Pinega
21.33617117
Pomak
21.60168512
Bulgarian
22.19832877
Bulgarians
22.36958203
Tatar_Kazan
22.87010713
Macedonian
23.84304511
Lithuanian
25.09249091
Gagauz
25.77997867
Chuvash
25.93574368
Swedish
25.96865226
Turk_Romania
Distance to:
MX259_Switzerland_LN
11.07642993
Mixed_Germanic
11.19961160
German
11.53935873
Croat
12.39836280
French
12.51147626
Italy_Aosta_Valley
12.54265522
Bosnian
12.67442701
French
13.16173621
Dutch
13.55712064
Italy_Trentino
13.66584428
Hungarians
14.32200810
Italy_FriuliVG
14.59410840
Kent
14.91406383
CEU30
15.10508193
English
15.29345162
Swiss_Italian
15.58592634
Macedonian
16.06895844
Italy_Veneto
16.64251483
British_Isles
16.66449219
Cornwall
16.69550599
Italy_Piedmont
17.23453800
British
17.58532627
Pomak
17.60685378
Argyll
18.28327925
Irish
18.46221276
Orcadian
Distance to:
SNPRA54_Switzerland_LN
8.82408069
Sardinian
25.72531827
Andalucia
27.90657629
Valencia
27.94614464
Aragon
28.64672756
Castilla_La_Mancha
28.72721706
Murcia
29.17884508
Spaniards
29.36233983
Baleares
29.42150574
Cantabria
30.24174267
Castilla_Y_Leon
30.41365483
Spanish
30.66866479
French_Basque
31.34283012
Canarias
31.82911246
Extremadura
32.02906493
Cataluna
32.11195416
Galicia
32.60566233
France_Corsica
32.69545840
Pais_Vasco
33.02487699
Portuguese
36.24869815
Italy_Lombardy
36.89030401
Italy_Liguria
36.89224757
Italy_Emilia
37.17355794
Italy_Tuscany
38.24146588
Swiss_Italian
38.52528157
Italy_Piedmont
Well, on other tests I get about 25% "steppe", so I guess it fits.
It would be interesting to see what Swiss Germans get. Swiss Italians are at about a 7 with one of the samples, although I don't know about the others.
Here are the Late Neolithic Swiss compared to Italian populations on a PCA:
https://i.imgur.com/YLnaOvn.png
Here are the Late Neolithic Swiss compared to Italian populations on a PCA:
https://i.imgur.com/YLnaOvn.png
Very, very nice.
So, these "natives" too were very modern Sardinian like. :)
I'm assuming the samples to the north and east on the PCA are Swiss German, Austrian and perhaps eastern European like?
Here are the Late Neolithic Swiss compared to Italian populations on a PCA:
https://i.imgur.com/YLnaOvn.png
@Jovialis
the difference between Angela and I is
Distance to:
MX254_Switzerland_LN
7.33645010
French
7.43584561
French
8.87658181
Italy_Aosta_Valley
11.05456015
Italy_Trentino
12.06747954
Swiss_Italian
12.08647178
Mixed_Germanic
13.33487158
Dutch
13.55036900
Kent
13.55648981
Italy_FriuliVG
14.08817944
German
14.23238560
CEU30
14.28828891
English
14.81596673
Italy_Piedmont
15.00195987
Cornwall
15.00493618
Italy_Veneto
15.23721759
British_Isles
15.59489660
British
15.96113718
Croat
16.07137448
Italy_Lombardy
16.71133148
Galicia
17.04189250
Bosnian
17.24502247
Irish
17.41834665
Argyll
17.58393585
Orcadian
17.69352424
Cataluna
Do you have his Ydna marker and mtdna
and i also have as the next difference
Distance to:
MX310_Switzerland_LN
10.56213993
Ukranians
11.02666767
Rus_Smolensk
11.16888983
Rus_Kostroma
11.82433085
Hungarians
12.94697648
Rus_Tver
13.28619584
Southwest_Rus
13.52036612
Bosnian
13.89752136
Croat
13.99387366
Mixed_Slav
14.10285432
Polish
17.03985915
Mordovians
17.09695879
Belorussian
20.11568542
Romanians
20.39948039
German
21.03739765
Rus_Pinega
21.33617117
Pomak
21.60168512
Bulgarian
22.19832877
Bulgarians
22.36958203
Tatar_Kazan
22.87010713
Macedonian
23.84304511
Lithuanian
25.09249091
Gagauz
25.77997867
Chuvash
25.93574368
Swedish
25.96865226
Turk_Romania
64.0
Ukranians
21.0
Bosnian
15.0
Bulgarian
Anyone can explain me how to compare yourself with those ancient samples, like the swiss ones?
Very, very nice.
So, these "natives" too were very modern Sardinian like. :)
I'm assuming the samples to the north and east on the PCA are Swiss German, Austrian and perhaps eastern European like?
Here is the PCA with the other West Eurasian populations:
https://i.imgur.com/kqSkr4y.png
Distance to: Dodecadk12bStuvanè
15.76454566 MX299_Switzerland_LN
18.88334981 SX18_Switzerland_LN
20.03450523 MX254_Switzerland_LN
20.78851847 MX259_Switzerland_LN
20.97265362 MX265_Switzerland_LN
21.46425633 MX277_Switzerland_LN
21.58029425 MX256_Switzerland_LN
22.19705161 SX20_Switzerland_LN
22.86660666 MX286_Switzerland_LN
23.30195485 MX283_Switzerland_LN
23.74477206 MX258_Switzerland_LN
23.82370458 SX23_Switzerland_LN
25.44426458 MX270_Switzerland_LN
26.55677503 MX304_Switzerland_LN
26.59137266 MX288_Switzerland_LN
26.78406803 SNPRA63_Switzerland_LN
26.95482888 MX257_Switzerland_LN
27.06914664 SX29_Switzerland_LN
27.17863867 MX279_Switzerland_LN
27.20136577 MX280_Switzerland_LN
28.03234204 MX298_Switzerland_LN
28.52684175 MX251_Switzerland_LN
28.70033275 SNPRA64_Switzerland_LN
29.11064067 MX275_Switzerland_LN
29.37606509 MX252_Switzerland_LN
Target: Dodecadk12bStuvanè
Distance: 14.7397% / 14.73968050 | ADC: 1x
86.8 MX299_Switzerland_LN
13.2 MX265_Switzerland_LN
Target: Dodecadk12bStuvanè
Distance: 10.4435% / 10.44352352 | ADC: 0.5x
56.4 MX299_Switzerland_LN
26.0 MX310_Switzerland_LN
17.6 SX33_Switzerland_LN
Target: Dodecadk12bStuvanè
Distance: 5.6825% / 5.68248183 | ADC: 0.25x
47.2 SX33_Switzerland_LN
43.2 MX310_Switzerland_LN
9.6 MX259_Switzerland_LN
Target: Dodecadk12bStuvanè
Distance: 5.4129% / 5.41285129
49.8 SX33_Switzerland_LN
48.4 MX310_Switzerland_LN
1.8 MX199_Switzerland_LN
Distance to: Dodecadk12bStuvanè
15.76454566 MX299_Switzerland_LN
18.88334981 SX18_Switzerland_LN
20.03450523 MX254_Switzerland_LN
20.78851847 MX259_Switzerland_LN
20.97265362 MX265_Switzerland_LN
21.46425633 MX277_Switzerland_LN
21.58029425 MX256_Switzerland_LN
22.19705161 SX20_Switzerland_LN
22.86660666 MX286_Switzerland_LN
23.30195485 MX283_Switzerland_LN
23.74477206 MX258_Switzerland_LN
23.82370458 SX23_Switzerland_LN
25.44426458 MX270_Switzerland_LN
26.55677503 MX304_Switzerland_LN
26.59137266 MX288_Switzerland_LN
26.78406803 SNPRA63_Switzerland_LN
26.95482888 MX257_Switzerland_LN
27.06914664 SX29_Switzerland_LN
27.17863867 MX279_Switzerland_LN
27.20136577 MX280_Switzerland_LN
28.03234204 MX298_Switzerland_LN
28.52684175 MX251_Switzerland_LN
28.70033275 SNPRA64_Switzerland_LN
29.11064067 MX275_Switzerland_LN
29.37606509 MX252_Switzerland_LN
Target: Dodecadk12bStuvanè
Distance: 14.7397% / 14.73968050 | ADC: 1x
86.8 MX299_Switzerland_LN
13.2 MX265_Switzerland_LN
Target: Dodecadk12bStuvanè
Distance: 10.4435% / 10.44352352 | ADC: 0.5x
56.4 MX299_Switzerland_LN
26.0 MX310_Switzerland_LN
17.6 SX33_Switzerland_LN
Target: Dodecadk12bStuvanè
Distance: 5.6825% / 5.68248183 | ADC: 0.25x
47.2 SX33_Switzerland_LN
43.2 MX310_Switzerland_LN
9.6 MX259_Switzerland_LN
Target: Dodecadk12bStuvanè
Distance: 5.4129% / 5.41285129
49.8 SX33_Switzerland_LN
48.4 MX310_Switzerland_LN
1.8 MX199_Switzerland_LN
your Targets are similar to mine ...............are your ancestors from the adriatic side of Italy ?
Anyone can explain me how to compare yourself with those ancient samples, like the swiss ones?
Take your Dodecad K12b results, and separate them by commas, if you want PM them to me.
Anyone can explain me how to compare yourself with those ancient samples, like the swiss ones?
Just copy paste the Swiss sample coordinates into source tab and your gedmatch coordinates from DodecadK12B into target tab like this example:
Name,14.6,0,1.45,
Gedorisa: 14,6
Eastasian: -
Caucasus: 1,45
Edit: I see Jovialis just answered first.
@Jovialis
the difference between Angela and I is
Distance to:
MX254_Switzerland_LN
7.33645010
French
7.43584561
French
8.87658181
Italy_Aosta_Valley
11.05456015
Italy_Trentino
12.06747954
Swiss_Italian
12.08647178
Mixed_Germanic
13.33487158
Dutch
13.55036900
Kent
13.55648981
Italy_FriuliVG
14.08817944
German
14.23238560
CEU30
14.28828891
English
14.81596673
Italy_Piedmont
15.00195987
Cornwall
15.00493618
Italy_Veneto
15.23721759
British_Isles
15.59489660
British
15.96113718
Croat
16.07137448
Italy_Lombardy
16.71133148
Galicia
17.04189250
Bosnian
17.24502247
Irish
17.41834665
Argyll
17.58393585
Orcadian
17.69352424
Cataluna
Do you have his Ydna marker and mtdna
and i also have as the next difference
Distance to:
MX310_Switzerland_LN
10.56213993
Ukranians
11.02666767
Rus_Smolensk
11.16888983
Rus_Kostroma
11.82433085
Hungarians
12.94697648
Rus_Tver
13.28619584
Southwest_Rus
13.52036612
Bosnian
13.89752136
Croat
13.99387366
Mixed_Slav
14.10285432
Polish
17.03985915
Mordovians
17.09695879
Belorussian
20.11568542
Romanians
20.39948039
German
21.03739765
Rus_Pinega
21.33617117
Pomak
21.60168512
Bulgarian
22.19832877
Bulgarians
22.36958203
Tatar_Kazan
22.87010713
Macedonian
23.84304511
Lithuanian
25.09249091
Gagauz
25.77997867
Chuvash
25.93574368
Swedish
25.96865226
Turk_Romania
64.0
Ukranians
21.0
Bosnian
15.0
Bulgarian
Your closest, however, is still MX299, who is closest to Swiss ITALIANS.
Distance to:
Torziok12b
12.59470127
MX299_Switzerland_LN
13.68046052
MX254_Switzerland_LN
14.25829232
MX259_Switzerland_LN
15.12795756
MX277_Switzerland_LN
15.35924152
SX18_Switzerland_LN
15.78438786
MX286_Switzerland_LN
15.93504628
SX20_Switzerland_LN
16.32076285
MX256_Switzerland_LN
16.67200948
MX283_Switzerland_LN
16.95557725
MX265_Switzerland_LN
Distance to: Dodecadk12bStuvanè
15.76454566 MX299_Switzerland_LN
18.88334981 SX18_Switzerland_LN
20.03450523 MX254_Switzerland_LN
20.78851847 MX259_Switzerland_LN
20.97265362 MX265_Switzerland_LN
21.46425633 MX277_Switzerland_LN
21.58029425 MX256_Switzerland_LN
22.19705161 SX20_Switzerland_LN
22.86660666 MX286_Switzerland_LN
23.30195485 MX283_Switzerland_LN
23.74477206 MX258_Switzerland_LN
23.82370458 SX23_Switzerland_LN
25.44426458 MX270_Switzerland_LN
26.55677503 MX304_Switzerland_LN
26.59137266 MX288_Switzerland_LN
26.78406803 SNPRA63_Switzerland_LN
26.95482888 MX257_Switzerland_LN
27.06914664 SX29_Switzerland_LN
27.17863867 MX279_Switzerland_LN
27.20136577 MX280_Switzerland_LN
28.03234204 MX298_Switzerland_LN
28.52684175 MX251_Switzerland_LN
28.70033275 SNPRA64_Switzerland_LN
29.11064067 MX275_Switzerland_LN
29.37606509 MX252_Switzerland_LN
Target: Dodecadk12bStuvanè
Distance: 14.7397% / 14.73968050 | ADC: 1x
86.8 MX299_Switzerland_LN
13.2 MX265_Switzerland_LN
Target: Dodecadk12bStuvanè
Distance: 10.4435% / 10.44352352 | ADC: 0.5x
56.4 MX299_Switzerland_LN
26.0 MX310_Switzerland_LN
17.6 SX33_Switzerland_LN
Target: Dodecadk12bStuvanè
Distance: 5.6825% / 5.68248183 | ADC: 0.25x
47.2 SX33_Switzerland_LN
43.2 MX310_Switzerland_LN
9.6 MX259_Switzerland_LN
Target: Dodecadk12bStuvanè
Distance: 5.4129% / 5.41285129
49.8 SX33_Switzerland_LN
48.4 MX310_Switzerland_LN
1.8 MX199_Switzerland_LN
Interesting. Your first two matches are the same as mine, but you're further away.
Our first three targets are the same, but different percentages:
Mine:
Target: Angela
Distance: 5.5702% / 5.57018636
53.2
SX33_Switzerland_LN
26.0
MX310_Switzerland_LN
16.8
MX259_Switzerland_LN
4.0
SNPRA54_Switzerland_LN
Yours:
Target: Dodecadk12bStuvanè
Distance: 5.6825% / 5.68248183 | ADC: 0.25x
47.2 SX33_Switzerland_LN
43.2 MX310_Switzerland_LN
9.6 MX259_Switzerland_LN
Somehow, it works out about the same. :)
Here is the PCA with the other West Eurasian populations:
https://i.imgur.com/kqSkr4y.png
So, as I suspected, of the ones who plot north of Italy, a few are French like, most are Austrian/Southern German like, so, slightly less than half steppe admixed.
Very interesting. Thanks a lot, Jovialis.
my father results
Distance to:
PonzanoK12b
11.99095075
MX299_Switzerland_LN
12.07759910
MX254_Switzerland_LN
13.96110669
MX259_Switzerland_LN
14.13974894
MX277_Switzerland_LN
14.82902896
SX20_Switzerland_LN
14.95393259
MX256_Switzerland_LN
15.19009546
MX265_Switzerland_LN
15.21205114
MX286_Switzerland_LN
15.37363002
SX18_Switzerland_LN
15.67921235
MX283_Switzerland_LN
16.02206291
SX23_Switzerland_LN
16.39046064
MX258_Switzerland_LN
17.94340547
MX270_Switzerland_LN
18.60260466
MX288_Switzerland_LN
19.17395108
MX279_Switzerland_LN
19.26081514
MX257_Switzerland_LN
19.29175731
MX280_Switzerland_LN
19.34657334
MX304_Switzerland_LN
19.63696769
SNPRA63_Switzerland_LN
20.92076719
MX251_Switzerland_LN
21.05266729
MX298_Switzerland_LN
21.17522373
SNPRA64_Switzerland_LN
21.57278378
MX252_Switzerland_LN
21.65160040
MX275_Switzerland_LN
22.80660211
MX190_Switzerland_LN
0.25
27.2
MX259_Switzerland_LN
24.0
SX33_Switzerland_LN
19.0
MX310_Switzerland_LN
14.6
MX299_Switzerland_LN
7.6
MX258_Switzerland_LN
7.6
1.0
57.8
MX299_Switzerland_LN
21.2
MX259_Switzerland_LN
11.8
MX254_Switzerland_LN
9.2
MX265_Switzerland_LN
MX265_Switzerland_LN
modern ydna T percentages in france
4% for each of these areas, Alsace, Auvegne, Provenzal
3% Lorraine ................others not sure
Palermo Trapani
23-04-20, 20:24
Lots of Blue so went with plain text for the majority of Distances. Closest is the MX299 sample, which some others get as closest distance.
Distance to:
PalermoTrapani
25.97523821
MX299_Switzerland_LN
26.58357011
SX29_Switzerland_LN
27.99681053
SX18_Switzerland_LN
Distance to: PalermoTrapani
25.97523821 MX299_Switzerland_LN
26.58357011 SX29_Switzerland_LN
27.99681053 SX18_Switzerland_LN
29.62255053 SX33_Switzerland_LN
31.14237146 SX30_Switzerland_LN
33.02608817 MX254_Switzerland_LN
33.25111727 MX259_Switzerland_LN
33.49193933 MX277_Switzerland_LN
33.51097432 MX256_Switzerland_LN
33.90358536 MX219_Switzerland_LN
33.92261488 SX21_Switzerland_LN
33.99913381 MX265_Switzerland_LN
34.17789344 SX20_Switzerland_LN
34.20447632 SNPRA42_Switzerland_LN
34.83461784 MX286_Switzerland_LN
35.00164996 SX26_Switzerland_LN
35.29853538 MX283_Switzerland_LN
35.54556934 MX258_Switzerland_LN
36.83243136 SX23_Switzerland_LN
37.05432903 SX22_Switzerland_LN
37.27014221 MX270_Switzerland_LN
37.33768338 SX11_Switzerland_LN
37.59419902 SNPRA63_Switzerland_LN
37.74839334 SNPRA62_Switzerland_LN
38.28890309 SX17_Switzerland_LN
38.49616604 SX9_Switzerland_LN
38.56552995 MX298_Switzerland_LN
38.74017037 MX204_Switzerland_LN
38.78414109 MX187_Switzerland_LN
38.91752690 MX257_Switzerland_LN
39.07906217 Aesch3_Switzerland_LN
39.13124455 MX203_Switzerland_LN
39.35531222 MX288_Switzerland_LN
39.38097129 Aesch14_Switzerland_LN
39.45354990 SNPRA57_Switzerland_LN
39.54317387 Aesch22_Switzerland_LN
39.54436749 SNPRA43_Switzerland_LN
39.62471199 Aesch16_Switzerland_LN
39.84930238 MX279_Switzerland_LN
39.92408797 MX304_Switzerland_LN
40.04324662 MX280_Switzerland_LN
40.29994789 MX251_Switzerland_LN
40.35691886 Aesch15_Switzerland_LN
40.37827510 MX275_Switzerland_LN
40.50635012 SNPRA59_Switzerland_LN
40.54562985 Aesch19_Switzerland_LN
40.75505613 SNPRA64_Switzerland_LN
40.94959096 Aesch23_Switzerland_LN
41.05452959 Aesch17_Switzerland_LN
41.24143669 Aesch1_Switzerland_LN
41.30694978 MX252_Switzerland_LN
41.65464320 SNPRA54_Switzerland_LN
41.68549868 Aesch6_Switzerland_LN
41.72440772 Aesch4_Switzerland_LN
41.83201047 Aesch9_Switzerland_LN
41.91058339 MX190_Switzerland_LN
42.07815704 Aesch18_Switzerland_LN
42.10620263 Aesch13_Switzerland_LN
42.22071411 MX212_Switzerland_LN
42.22528271 Aesch5_Switzerland_LN
42.23456286 Aesch11_Switzerland_LN
42.32430153 MX150_Switzerland_LN
42.37008969 SNPRA58_Switzerland_LN
42.43240153 SX8_Switzerland_LN
42.81079887 SX32_Switzerland_LN
42.87908465 MX211_Switzerland_LN
42.89127534 Aesch12_Switzerland_LN
42.90282042 Aesch2_Switzerland_LN
43.06481975 SNPRA61_Switzerland_LN
43.11792783 MX182_Switzerland_LN
43.16211070 MX199_Switzerland_LN
43.23977104 MX188_Switzerland_LN
43.28382030 SNPRA44_Switzerland_LN
43.80892946 Aesch10_Switzerland_LN
44.02143682 MX310_Switzerland_LN
44.15374390 MX184_Switzerland_LN
44.31590008 MX209_Switzerland_LN
44.81347007 Aesch24_Switzerland_LN
44.97530433 Aesch7_Switzerland_LN
45.21769012 Aesch8_Switzerland_LN
45.48281544 SNPRA45_Switzerland_LN
46.16526183 MX198_Switzerland_LN
46.33609716 MX192_Switzerland_LN
46.40726775 MX196_Switzerland_LN
46.55722930 MX193_Switzerland_LN
46.92691339 Aesch21_Switzerland_LN
47.18655635 Aesch20_Switzerland_LN
47.24979471 MX189_Switzerland_LN
47.50544179 MX191_Switzerland_LN
47.63644193 MX195_Switzerland_LN
47.70062683 MX213_Switzerland_LN
47.74557466 SX10_Switzerland_LN
48.31336772 MX210_Switzerland_LN
48.55060865 MX197_Switzerland_LN
55.65608682 Aesch25_Switzerland_LN
Target: PalermoTrapani
Distance: 24.1743% / 24.17430239 | ADC: 2x
67.4
MX299_Switzerland_LN
32.6
SX29_Switzerland_LN
Target: PalermoTrapani
Distance: 24.0018% / 24.00182670 | ADC: 1x
57.0
MX299_Switzerland_LN
43.0
SX29_Switzerland_LN
Target: PalermoTrapani
Distance: 15.8723% / 15.87226742 | ADC: 0.5x
65.0
SX33_Switzerland_LN
35.0
MX310_Switzerland_LN
Target: PalermoTrapani
Distance: 15.7627% / 15.76269602 | ADC: 0.25x
62.8
SX33_Switzerland_LN
37.2
MX310_Switzerland_L
So i tried a run with all outputs in default settings and i got those results.
Edit. Thanks for the help Jovialis!
Distance to:
Halfalp
4.80727574
MX259_Switzerland_LN
8.13357855
SX23_Switzerland_LN
8.40547441
MX254_Switzerland_LN
9.66446067
MX265_Switzerland_LN
11.30642738
MX286_Switzerland_LN
11.46779403
MX280_Switzerland_LN
11.71422639
MX277_Switzerland_LN
11.82873197
MX304_Switzerland_LN
12.07836496
MX288_Switzerland_LN
12.13449628
MX258_Switzerland_LN
12.54464029
MX279_Switzerland_LN
12.64113919
MX270_Switzerland_LN
12.93703212
MX257_Switzerland_LN
13.15909191
SX20_Switzerland_LN
13.19557881
MX283_Switzerland_LN
13.43546426
MX256_Switzerland_LN
13.86271618
MX190_Switzerland_LN
13.99943927
SNPRA64_Switzerland_LN
15.75844218
MX188_Switzerland_LN
15.78911017
SX32_Switzerland_LN
15.87203516
MX251_Switzerland_LN
15.93252648
MX252_Switzerland_LN
16.05621064
SNPRA63_Switzerland_LN
16.89101240
MX299_Switzerland_LN
17.23629891
MX275_Switzerland_LN
Palermo Trapani
23-04-20, 22:10
halfalp: Good post, further corroborates Dodecad K12B does a really good job of measuring genetic distances for people from modern populations vs. ancient ancestry from the same regions. You self report Swiss ancestry and you cluster very closely with these ancient samples. Also shows Jovialis has done an excellent job with his coordinate estimates for these ancient samples.
halfalp: Good post, further corroborates Dodecad K12B does a really good job of measuring genetic distances for people from modern populations vs. ancient ancestry from the same regions. You self report Swiss ancestry and you cluster very closely with these ancient samples. Also shows Jovialis has done an excellent job with his coordinate estimates for these ancient samples.
Yes it's very interesting. I've been waiting for years for a study on switzerland ancient dna.
But can someone explain how i match that close with this individual?
6.59695384
I11443_Sicily_EBA_Buffa_Cave_II
20.99019771
I12221_Sardinia_EarlyMedieval_Grotta_Colombi
23.02009557
I8561_Sicily_EBA_Isnello
23.67706063
I4329_Mallorca_EBA_Cova_des_Moro_Mallorca_Spain
23.95192894
I3315_Menorca_LBA_Naveta_des_Tudons_Menorca_Spain
27.17811436
I4420_all_Formentera_MBA_Formentera_Spain
27.19609347
I7800_Sicily_EBA_Contrada_Paolina_Castellucciana
28.31829267
I3124_Sicily_EBA_Buffa_Cave_II
29.04418875
I16163_Sardinia_IA_Anghelu_Ruju
31.95448482
I3123_Sicily_EBA_Buffa_Cave_II
34.19757155
I11442_Sicily_EBA_Buffa_Cave_II
34.81802981
I7807_Sicily_EBA_Contrada_Paolina_Castellucciana
35.72542512
I4065_Sicily_MN_Stretto_Partanna
35.83078285
I10366_Sardinia_IA_Usellus
36.04548793
I3876_Sicily_LBA_Marcita
37.33815609
I3878_Sicily_LBA_Marcita
38.00303804
I10373_Sicily_LBA_Marcita
38.01372121
I12220_Sardinia_LateAntiquity_Grotta_Colombi
38.15203009
I10365_Sardinia_BA_Seulo
38.25015556
I10372_Sicily_LBA_Marcita
39.47268803
I3125_Sicily_MBA_Buffa_Cave_II
39.97789389
I4109_Sicily_MBA_Buffa_Cave_II
40.79014219
I15939_Sardinia_BA_contam_Anghelu_Ruju
40.84505723
I16166_Sardinia_Chalcolithic_Sa_Ucca_de_su_Tintirr iolu
41.53064411
I7774_d_Sicily_EBA_Contrada_Paolina_Castellucciana
41.78292115
I3122_Sicily_EBA_Buffa_Cave_II
42.18178635
I7805_Sicily_EBA_Contrada_Paolina_Castellucciana
42.93302458
I14676_Sardinia_Chalcolithic_Serra_Crabiles
42.94563424
I10364_Sardinia_BA_Alghero
43.12469478
I4063_Sicily_MN_Stretto_Partanna
So i tried a run with all outputs in default settings and i got those results.
Edit. Thanks for the help Jovialis!
Distance to:
Halfalp
4.80727574
MX259_Switzerland_LN
8.13357855
SX23_Switzerland_LN
8.40547441
MX254_Switzerland_LN
9.66446067
MX265_Switzerland_LN
11.30642738
MX286_Switzerland_LN
11.46779403
MX280_Switzerland_LN
11.71422639
MX277_Switzerland_LN
11.82873197
MX304_Switzerland_LN
12.07836496
MX288_Switzerland_LN
12.13449628
MX258_Switzerland_LN
12.54464029
MX279_Switzerland_LN
12.64113919
MX270_Switzerland_LN
12.93703212
MX257_Switzerland_LN
13.15909191
SX20_Switzerland_LN
13.19557881
MX283_Switzerland_LN
13.43546426
MX256_Switzerland_LN
13.86271618
MX190_Switzerland_LN
13.99943927
SNPRA64_Switzerland_LN
15.75844218
MX188_Switzerland_LN
15.78911017
SX32_Switzerland_LN
15.87203516
MX251_Switzerland_LN
15.93252648
MX252_Switzerland_LN
16.05621064
SNPRA63_Switzerland_LN
16.89101240
MX299_Switzerland_LN
17.23629891
MX275_Switzerland_LN
You have a closer match, so more "southern" than mixed Germanics as a whole, perhaps, so, German Swiss with perhaps some French Swiss admixture?
Distance to:
MX259_Switzerland_LN
11.07642993
Mixed_Germanic
11.19961160
German
11.53935873
Croat
12.39836280
French
12.51147626
Italy_Aosta_Valley
12.54265522
Bosnian
12.67442701
French
13.16173621
Dutch
13.55712064
Italy_Trentino
13.66584428
Hungarians
14.32200810
Italy_FriuliVG
14.59410840
Kent
14.91406383
CEU30
15.10508193
English
15.29345162
Swiss_Italian
15.58592634
Macedonian
16.06895844
Italy_Veneto
16.64251483
British_Isles
16.66449219
Cornwall
16.69550599
Italy_Piedmont
17.23453800
British
17.58532627
Pomak
17.60685378
Argyll
18.28327925
Irish
18.46221276
Orcadian
Distance to:
SX23_Switzerland_LN
7.12444384
Mixed_Germanic
8.47470353
French
8.61473737
Dutch
8.64972254
German
8.90467855
French
9.97545989
Kent
10.35025120
CEU30
10.50940055
English
11.66763472
British_Isles
12.23174967
Cornwall
12.65565881
British
13.42167132
Italy_Aosta_Valley
13.58166779
Argyll
13.78326522
Croat
13.82043776
Irish
14.02211468
Orcadian
14.03337807
Orkney
14.16508736
Hungarians
15.14092467
Bosnian
15.29650418
Italy_Trentino
16.71463468
Swiss_Italian
17.05431898
Italy_FriuliVG
17.64822087
Norwegian
18.85442859
Italy_Veneto
19.06094253
Italy_Piedmont
Distance to:
MX254_Switzerland_LN
7.33645010
French
7.43584561
French
8.87658181
Italy_Aosta_Valley
11.05456015
Italy_Trentino
12.06747954
Swiss_Italian
12.08647178
Mixed_Germanic
13.33487158
Dutch
13.55036900
Kent
13.55648981
Italy_FriuliVG
14.08817944
German
14.23238560
CEU30
14.28828891
English
14.81596673
Italy_Piedmont
15.00195987
Cornwall
15.00493618
Italy_Veneto
15.23721759
British_Isles
15.59489660
British
15.96113718
Croat
16.07137448
Italy_Lombardy
16.71133148
Galicia
17.04189250
Bosnian
17.24502247
Irish
17.41834665
Argyll
17.58393585
Orcadian
17.69352424
Cataluna
That particular sample from Sicily just has more steppe admixture than the rest of them.
Interesting. Your first two matches are the same as mine, but you're further away.
Our first three targets are the same, but different percentages:
Mine:
Target: Angela
Distance: 5.5702% / 5.57018636
53.2
SX33_Switzerland_LN
26.0
MX310_Switzerland_LN
16.8
MX259_Switzerland_LN
4.0
SNPRA54_Switzerland_LN
Yours:
Target: Dodecadk12bStuvanè
Distance: 5.6825% / 5.68248183 | ADC: 0.25x
47.2 SX33_Switzerland_LN
43.2 MX310_Switzerland_LN
9.6 MX259_Switzerland_LN
Somehow, it works out about the same. :)
These are the results of a friend of mine from Valcamonica, upper Lombardy, north of Brescia. He has a remarkable proximity with MX299.
I'm teasing him, telling him he's practically a living fossil :)
I have much less to do with these sample, too "Adriatic", so I suppose for a greater share of CHG or at least some component of the invaders of the metal age
https://scontent-mxp1-1.xx.fbcdn.net/v/t1.15752-9/94143807_896592227470932_2065401458559287296_n.png ?_nc_cat=104&_nc_sid=b96e70&_nc_ohc=MZMZOchf7DoAX--fIsd&_nc_ht=scontent-mxp1-1.xx&oh=561dfdcc2b64a37fb80c56308bb1b9ec&oe=5EC6708E
your Targets are similar to mine ...............are your ancestors from the adriatic side of Italy ?
Torzio, yes they are. I am half from Romagna (Forlì / Rimini) and half from Ferrara
Here is the Swiss_LN + Italian Populations PCA with Fernandes et al. 2020:
https://i.imgur.com/BO4EOkE.png
my father results
Distance to:
PonzanoK12b
11.99095075
MX299_Switzerland_LN
12.07759910
MX254_Switzerland_LN
13.96110669
MX259_Switzerland_LN
14.13974894
MX277_Switzerland_LN
14.82902896
SX20_Switzerland_LN
14.95393259
MX256_Switzerland_LN
15.19009546
MX265_Switzerland_LN
15.21205114
MX286_Switzerland_LN
15.37363002
SX18_Switzerland_LN
15.67921235
MX283_Switzerland_LN
16.02206291
SX23_Switzerland_LN
16.39046064
MX258_Switzerland_LN
17.94340547
MX270_Switzerland_LN
18.60260466
MX288_Switzerland_LN
19.17395108
MX279_Switzerland_LN
19.26081514
MX257_Switzerland_LN
19.29175731
MX280_Switzerland_LN
19.34657334
MX304_Switzerland_LN
19.63696769
SNPRA63_Switzerland_LN
20.92076719
MX251_Switzerland_LN
21.05266729
MX298_Switzerland_LN
21.17522373
SNPRA64_Switzerland_LN
21.57278378
MX252_Switzerland_LN
21.65160040
MX275_Switzerland_LN
22.80660211
MX190_Switzerland_LN
0.25
27.2
MX259_Switzerland_LN
24.0
SX33_Switzerland_LN
19.0
MX310_Switzerland_LN
14.6
MX299_Switzerland_LN
7.6
MX258_Switzerland_LN
7.6
1.0
57.8
MX299_Switzerland_LN
21.2
MX259_Switzerland_LN
11.8
MX254_Switzerland_LN
9.2
MX265_Switzerland_LN
MX265_Switzerland_LN
modern ydna T percentages in france
4% for each of these areas, Alsace, Auvegne, Provenzal
3% Lorraine ................others not sure
Oldest T ydna sample found in Switzerland
E4623 ......
Ulrich Blarer b about 1190 and d 1242 ......Sankt Gallen
.....Switzerland
......T-CTS933..................part of T1a2 group
https://www.geni.com/people/Ulrich-Blarer/6000000002225609784
https://gw.geneanet.org/aeswal?lang=en&pz=gitschard&nz=raron+von&p=eglof&n=blarer&oc=2
Here is the Swiss_LN + Italian Populations PCA with Fernandes et al. 2020:
https://i.imgur.com/BO4EOkE.png
Wow. Lots of great stuff here, even if it's only two dimensions.
Did you see how Sicily EBA 14383 is parallel to Roman Era R85, and south of Calabrians and Sicilians? No need for it to have come from Anatolia directly. People like that were already in Sicily in the Early Bronze Age.
The Middle and Late Bronze Age samples plot further north. Did the Greek settlers in the late first millennium BC start to change them back again? Or was there the kind of resurgence we've seen before? Or is it just we don't have enough samples from the Bronze Age in Sicily or not a broad enough geographic distribution? Or maybe the southern mainland was different?
116940? Sardinia Chalcolithic, before the arrival of either settlers from the southeast or from steppe admixed peoples plots just slightly west of Central Italy.
You have a closer match, so more "southern" than mixed Germanics as a whole, perhaps, so, German Swiss with perhaps some French Swiss admixture?
Distance to:
MX259_Switzerland_LN
11.07642993
Mixed_Germanic
11.19961160
German
11.53935873
Croat
12.39836280
French
12.51147626
Italy_Aosta_Valley
12.54265522
Bosnian
12.67442701
French
13.16173621
Dutch
13.55712064
Italy_Trentino
13.66584428
Hungarians
14.32200810
Italy_FriuliVG
14.59410840
Kent
14.91406383
CEU30
15.10508193
English
15.29345162
Swiss_Italian
15.58592634
Macedonian
16.06895844
Italy_Veneto
16.64251483
British_Isles
16.66449219
Cornwall
16.69550599
Italy_Piedmont
17.23453800
British
17.58532627
Pomak
17.60685378
Argyll
18.28327925
Irish
18.46221276
Orcadian
Distance to:
SX23_Switzerland_LN
7.12444384
Mixed_Germanic
8.47470353
French
8.61473737
Dutch
8.64972254
German
8.90467855
French
9.97545989
Kent
10.35025120
CEU30
10.50940055
English
11.66763472
British_Isles
12.23174967
Cornwall
12.65565881
British
13.42167132
Italy_Aosta_Valley
13.58166779
Argyll
13.78326522
Croat
13.82043776
Irish
14.02211468
Orcadian
14.03337807
Orkney
14.16508736
Hungarians
15.14092467
Bosnian
15.29650418
Italy_Trentino
16.71463468
Swiss_Italian
17.05431898
Italy_FriuliVG
17.64822087
Norwegian
18.85442859
Italy_Veneto
19.06094253
Italy_Piedmont
Distance to:
MX254_Switzerland_LN
7.33645010
French
7.43584561
French
8.87658181
Italy_Aosta_Valley
11.05456015
Italy_Trentino
12.06747954
Swiss_Italian
12.08647178
Mixed_Germanic
13.33487158
Dutch
13.55036900
Kent
13.55648981
Italy_FriuliVG
14.08817944
German
14.23238560
CEU30
14.28828891
English
14.81596673
Italy_Piedmont
15.00195987
Cornwall
15.00493618
Italy_Veneto
15.23721759
British_Isles
15.59489660
British
15.96113718
Croat
16.07137448
Italy_Lombardy
16.71133148
Galicia
17.04189250
Bosnian
17.24502247
Irish
17.41834665
Argyll
17.58393585
Orcadian
17.69352424
Cataluna
That particular sample from Sicily just has more steppe admixture than the rest of them.
Yes, the French-German admixture makes sense in my case. But i have noticed that for most of you, you pick closer to MX299, while i pick very far from it, but close to to MX259 while in your runs, the distance between MX259 and MX299 is not that far, what can distance myself that high from those 2 individuals? Is MX299 extra shifted toward Italian admixture but not French-German admixture? What calculator or spreadsheet are you using to compare Modern as a Source and Ancient as a Target?
Edit. Never mind i found how to do it, and MX299 is clearly shifted more toward modern south populations.
Distance to:
MX299_Switzerland_LN
7.86760208
Swiss_Italian
8.32155634
Baleares
8.66289609
Italy_Aosta_Valley
8.80006372
Italy_Lombardy
9.50976971
Italy_Trentino
10.30051940
Galicia
10.42783439
Italy_Piedmont
11.21987332
Italy_Veneto
11.36515878
Italy_Liguria
12.02383882
Extremadura
12.24202561
Italy_Emilia
12.35363509
Spaniards
12.65125685
Castilla_Y_Leon
12.87222980
Murcia
12.96705055
Portuguese
13.03473437
Cataluna
13.30628859
Italy_FriuliVG
13.74800167
Italy_Tuscany
13.78275372
Andalucia
13.81295754
France_Corsica
13.92482316
Spanish
14.33911783
Cantabria
14.75452134
Valencia
15.16549702
Castilla_La_Mancha
15.80986717
Aragon
Wow. Lots of great stuff here, even if it's only two dimensions.
Did you see how Sicily EBA 14383 is parallel to Roman Era R85, and south of Calabrians and Sicilians? No need for it to have come from Anatolia directly. People like that were already in Sicily in the Early Bronze Age.
The Middle and Late Bronze Age samples plot further north. Did the Greek settlers in the late first millennium BC start to change them back again? Or was there the kind of resurgence we've seen before? Or is it just we don't have enough samples from the Bronze Age in Sicily or not a broad enough geographic distribution? Or maybe the southern mainland was different?
116940? Sardinia Chalcolithic, before the arrival of either settlers from the southeast or from steppe admixed peoples plots just slightly west of Central Italy.
https://i.imgur.com/xXhtwrP.png
Also take a look at where the Sicily Beaker plots, which is just about as south, but further west. One of the North Italian beakers plots right in the sphere of the modern Northern Italians.
I have combined all of the updates with the rest of the coordinates.
Download it here: http://www.mediafire.com/file/c9zxqrbx7o24s72/Dodecad_K12b_Ancient__West_Eurasia.docx/file
Thanks Jovialis.
These are the coordinates added by mlukas (France and Swiss) to default Vahaduo Dodecad K12b Ancient (Thanks mlucas):
France_BA_BIS130,12.55,1.32,0,0,39.68,36.91,0,0,0. 69,0,8.26,0.59
France_BA_BIS385,9.52,3.12,3.88,0,35.86,40.82,0,0, 0.35,0.5,5.91,0.04
France_BA_EUG11,0,0,0,0,52.94,30.66,0,0.91,6.46,0, 8.54,0.49
France_BA_NIED,4.83,0,4.74,0,49.31,24.76,0.78,0,0, 0.65,14.61,0.33
France_BA_OBE3626-1,10.61,1.66,0.02,0,40.31,46.53,0,0,0,0.87,0,0
France_BA_OBE3722,11.78,0,0,0.45,31.93,46.83,0.9,0 .22,0,0,7.89,0
France_BA_PIR3037AB,0,0,0,1.68,51.3,22.91,0,2.76,3 .26,0,18.1,0
France_BA_PIR3116B,5.46,1.83,0,0,43.35,36.92,0,0,0 ,0,11.96,0.48
France_BA_PSS4170,2.38,0,0,0.14,49.64,35.11,1.21,0 .5,1.48,0,9.12,0.41
France_BA_QUIN234,0,0,0,0,56.74,28.91,0.93,0,2.37, 0,10.89,0.16
France_BA_QUIN58,5.24,0.47,5.23,0.85,48.57,28.4,0. 93,0,8.66,0,1.66,0
France_BA_RIX15,6.19,0,0,0,41.63,38.23,2.68,0,0,0, 10.94,0.32
France_BA_RIX2,0.79,0,1.93,0,42.83,34.5,2.37,0.2,1 .2,0,16.18,0
France_BA_RIX4,9.11,0,1.21,0,40.83,42.26,0.43,1.25 ,1.53,0,3.2,0.18
France_IA_ATT26,8.03,0,0,0,38.27,41.78,1.62,0,0,0, 8.39,1.91
France_IA_BES1248,7.47,0.41,0,0,38.78,48.44,0,0,0, 0.87,3.9,0.13
France_IA_BFM265,8.47,0,0,0,46.94,33.73,1.07,0,2.9 2,0,6.55,0.31
France_IA_COL11,5.44,0,0,0,39.43,43.4,3.64,0,0,0,7 .21,0.87
France_IA_COL153A,5.24,0,0,0,31.38,39.94,0,0,4.37, 0,19.07,0
France_IA_COL153i,0,2.46,0,1.26,36.79,36.9,0,1.4,1 .84,1.45,17.9,0
France_IA_ERS1164,10.29,0.38,1.46,1.07,36.78,37.73 ,0,0,0,0,12.1,0.19
France_IA_ERS86,6.75,0,0,0,38.28,36.57,0,1.16,7.72 ,0,9.51,0
France_IA_ERS88,2.63,0,0,0,39.51,27.62,0.37,0,6.2, 0,23.67,0
France_IA_Jeb8,3.73,0,0,0,43.53,37,3.59,0.44,2.74, 0,8.7,0.27
France_IA_NOR2B6,5.4,0.59,2.84,0.19,36.97,33.37,0, 0.59,5.34,0,14.71,0
France_IA_NOR3-15,5.34,0.01,4.35,0.8,35.87,30.28,0,0,7.23,0,16.12 ,0
France_IA_NOR3-6,6.77,0,6.29,0.46,38.53,40.47,1.07,0,0.25,0,6.16, 0
France_IA_NOR4,0,0,1.9,0,46.92,30.78,2.37,0,3.11,1 .08,13.84,0
France_IA_PECH5,0.57,0,0,1.84,56.86,29.5,0,0,7.87, 2.27,1.09,0
France_IA_PEY53,11.04,0,0,0,44.3,35.83,0.2,0,3.09, 1.68,2.59,1.28
Swiss__CHE_LN_Aesch1,0,0,5.14,0,66.22,8.07,0.89,0, 7.22,0.32,12.13,0
Swiss__CHE_LN_Aesch10,0,0,2.92,0,66.07,9.04,0,0,11 .08,0,10.89,0
Swiss__CHE_LN_Aesch11_rel17,0,0,2.19,0,66.81,8.62, 0,0.02,9.75,0.3,11.93,0.39
Swiss__CHE_LN_Aesch12_rel3_19_24,0,0,6.41,0,67.23, 6.95,0,0,8,0,10.95,0.46
Swiss__CHE_LN_Aesch13,0,0,1.31,0,66.01,12.48,0,0.3 5,7.46,0,12.25,0.13
Swiss__CHE_LN_Aesch14_rel15,0,0,4.49,0,66.12,7.45, 0,0,7.76,0.11,14.07,0
Swiss__CHE_LN_Aesch15,0,0.26,6.67,0,63.08,7.62,0,0 ,6.95,0,15.41,0
Swiss__CHE_LN_Aesch16,0,0,3.66,3.33,63.69,6.8,0.12 ,0,7.69,0,14.17,0.55
Swiss__CHE_LN_Aesch17,0,0,2.64,0.43,66.6,8.81,0,0, 8.94,0,11.87,0.7
Swiss__CHE_LN_Aesch18,0,0.31,3.35,0.85,64.84,8.74, 0,0,7.76,0,13.66,0.49
Swiss__CHE_LN_Aesch19,0,0,4.35,0,65.71,10.06,0,0,5 .9,0,13.97,0
Swiss__CHE_LN_Aesch2,0,0,7.95,0.42,68.2,6.18,0,0,4 .74,0.75,11.76,0
Swiss__CHE_LN_Aesch20,0,0.79,4.08,0,70.8,10.17,0,0 ,6.42,0.31,7.27,0.18
Swiss__CHE_LN_Aesch21,0,0,3.8,0,69.35,7.71,0,0,9.2 5,0,9.9,0
Swiss__CHE_LN_Aesch22,0,0,6.67,0,63.65,10.84,0,0,7 .3,0,11.22,0.33
Swiss__CHE_LN_Aesch23,0,0,5.6,0,66.13,9.57,0,0,7.0 6,0,11.25,0.39
Swiss__CHE_LN_Aesch24,0,0,3.11,0,71.44,6.72,0,0,6. 29,0.71,11.73,0
Swiss__CHE_LN_steppe_Aesch25,20.57,1.42,0.13,0,22. 92,54.23,0,0,0,0,0,0.73
Swiss__CHE_LN_Aesch3_rel12_19,0,0,6.49,0,61.66,10. 93,0,0,6.83,0,14.09,0
Swiss__CHE_LN_Aesch4,0,0,4.47,0,66.1,12.45,0,0,5.1 3,0.58,10.92,0.36
Swiss__CHE_LN_Aesch5,0,0,6.13,0.04,65.62,9.08,0,0, 8.23,0,10.77,0.15
Swiss__CHE_LN_Aesch6,0,0.29,0,0,64.03,15.85,0,0.28 ,9.18,0.08,10.28,0
Swiss__CHE_LN_Aesch7,0,0,4.6,0.62,65.07,15.65,0,0, 5.23,0.4,8.4,0.02
Swiss__CHE_LN_Aesch8,0,0,3.89,0.65,71.47,7.15,0,0, 4.55,0,12.28,0
Swiss__CHE_LN_Aesch9,0,0,3.79,0.42,66.39,10.14,0,0 ,7.29,0,11.88,0.1
Swiss__CHE_LN_MX150,0,0,3.23,0.38,66.5,12.36,0,0,1 0.41,0,7.13,0
Swiss__CHE_LN_MX182,0,0,3.59,0,67.52,9.54,0,0,5.08 ,1.17,12.53,0.57
Swiss__CHE_LN_MX183,0,0,3.98,0,65.64,8.33,0.29,0,8 .16,0,12.98,0.61
Swiss__CHE_LN_MX184,0,0,4.79,0.17,66.6,11.51,0,0,6 .36,0.1,10.16,0.31
Swiss__CHE_LN_MX187_rel_MX150_MX212,0,0,3.98,0.28, 64.82,9.85,0,0,7.43,0.36,13.04,0.23
Swiss__Corded_Ware_CHE_MX188_rel190,10.84,1.47,0.5 1,0,32.55,45.66,0.23,0,0,0,6.96,1.77
Swiss__Corded_Ware_CHE_MX189,12.04,0.17,0,0.21,31. 67,48.64,2.46,0,0,0,3.34,1.46
Swiss__Corded_Ware_CHE_MX190,11.86,0.31,0,0,30.33, 45.77,0.87,0,0,0,9.38,1.47
Swiss__Corded_Ware_CHE_MX191,14.15,0,0,0,31.46,47. 76,1.35,0.6,0,1.4,2.37,0.91
Swiss__Corded_Ware_CHE_MX192_rel195_rel197,12.56,2 .49,0,0.1,36.67,45.01,0,0,0,0,1.75,1.43
Swiss__Corded_Ware_CHE_MX193,0,0,6.35,0,69.01,10.8 2,0,0,4.04,0.48,8.8,0.49
Swiss__Corded_Ware_CHE_MX194,17.96,0.89,2.11,0,26. 68,44.14,0,0.24,0,2.32,5.36,0.3
Swiss__Corded_Ware_CHE_MX195_rel192_197,13.46,1.36 ,0,0.13,34.41,47.79,1.26,0,0,0,0.81,0.77
Swiss__Corded_Ware_CHE_MX196,15.81,1.31,0,0,23.83, 50.18,0.33,0,0,0,7.29,1.26
Swiss__Corded_Ware_CHE_MX197,17.11,1.45,0,0.7,32.2 2,46.88,0,0.39,0,0,0.41,0.85
Swiss__Corded_Ware_CHE_MX198,13.68,1.02,0.26,0.02, 26.12,50.5,0,0.78,0,0.83,6.17,0.61
Swiss__Corded_Ware_CHE_MX199,12.97,1.55,0,0.29,25. 36,47.42,0,1,0,0,10.52,0.89
Swiss__CHE_LN_MX203,0,0,0.67,1.66,64.93,3.85,0,0,9 .4,0,19.48,0
Swiss__CHE_LN_MX204,0,0,2.95,0,65.46,7.86,0.38,0.2 5,6.36,0,16.71,0.04
Swiss__CHE_LN_MX209_relMX219,0,0,3.31,0,67.46,7.77 ,0,0,13.1,0,8.36,0
Swiss__CHE_LN_MX210,0,0,2.29,0,70.09,14.51,0,0,6.3 8,0,6.72,0
Swiss__CHE_LN_MX211,0,0.73,4.47,0.05,67.54,7.8,0,0 .27,5.7,0,13.43,0
Swiss__CHE_LN_MX212,0,0,5.39,0,66.45,11.69,0,0.14, 6.65,0,9.69,0
Swiss__CHE_LN_MX213,0,0,4.83,0.07,70.62,10.52,0,0, 6.73,0,6.48,0.74
Swiss__CHE_LN_MX219,0,0,9.06,0,60.24,13.28,0,0,6.4 9,0,10.93,0
Swiss__DEU_Singen_EBA_MX251,9.18,0,4.39,0,37.39,41 .05,0,0,4.6,0,2.75,0.65
Swiss__DEU_Singen_EBA_MX252,10.03,0,3.7,0,41.47,39 .83,1.24,0,0.77,0,2.56,0.39
Swiss__DEU_Singen_EBA_MX254_relMX286,4.21,1.64,0.8 7,0,39.21,35.58,0,0,4.32,0,14.07,0.11
Swiss__DEU_Singen_EBA_MX256,0,0,0,3.91,44.9,33.87, 2.28,0,0,2.58,12.46,0
Swiss__DEU_Singen_EBA_MX257,10.19,0.64,4.42,0,38.4 ,38.33,1.01,0,0.29,0,6.17,0.56
Swiss__DEU_Singen_EBA_MX258,10.11,1.01,2.46,0,34.2 7,38.93,0.09,0,2.67,0,9.78,0.68
Swiss__DEU_Anselfingen_FN_MX259,7.5,0,0,0,32.66,39 .39,0,1.43,0.4,0,17.96,0.66
Swiss__DEU_Singen_EIA_MX265,0,0,1.08,0.09,31.43,43 .8,1.06,0.52,4.09,0,17.45,0.49
Swiss__DEU_Singen_EBA_MX270_relMX275,10.1,1.08,0,0 ,39.93,38.2,0,1.24,2.12,0,7.33,0
Swiss__DEU_Singen_EBA_MX275_relMX286,11.54,2.12,4. 26,0,40.78,35.62,0,0,1.73,0,3.86,0.11
Swiss__DEU_Singen_EBA_MX277,5.76,0,4.28,0.49,43.18 ,32.5,0,1.93,1.81,0,10.05,0
Swiss__DEU_Singen_EBA_MX279,7.68,0,0,0,37.79,42.14 ,2.97,0,0.45,0,7.85,1.11
Swiss__DEU_Singen_EBA_MX280,8.18,1.45,0.42,0.9,38. 26,43.28,0,0.92,0.89,0,4.67,1.02
Swiss__DEU_Singen_EBA_MX283_relMX286,5.25,0.2,0,0. 01,44.54,36.06,0,0,3.06,0,9.52,1.36
Swiss__DEU_Singen_EBA_MX286,8.75,0,0,1.66,42.8,34. 14,0.47,0,2.3,0,9.03,0.86
Swiss__DEU_Singen_EBA_MX288,6.1,1.57,0,0,43.23,39. 94,0,0,1.58,0.4,6.89,0.29
Swiss__CHE_FN_contaminated_MX298,14.39,0,0,0,39.46 ,30.55,0,0,2.98,0,12.63,0
Swiss__CHE_LN_MX299,0,0,6.72,0.43,66.47,3.55,2.13, 0,7.62,0,13.08,0
Swiss__CHE_FN_steppe_MX304,0,2.12,0,0,39.27,43.02, 0,0,0,2.22,13.37,0
Swiss__CHE_LN_o_lc_RA42,1.55,0,2.83,0.57,49.49,24. 26,1.06,0,4.7,0,14.6,0.95
Swiss__CHE_LN_RA43,0,0,3.29,2.13,58.49,11.16,0,0,1 2.38,0,12.56,0
Swiss__CHE_LN_RA44,0,1.54,5.79,0,63.38,9.95,0,0,7. 8,2.66,6.89,2
Swiss__CHE_LN_RA45,0,0.12,5.32,0.66,65.26,12.84,0, 0,4.86,0,10.49,0.45
Swiss__CHE_LN_RA54,0,0,2.77,0,68.09,5.94,0,0,0,0.5 1,21.82,0.87
Swiss__CHE_LN_RA57,0,0,5.94,0,61.64,11.7,0,0,9.22, 0,11.01,0.49
Swiss__CHE_LN_RA58,0,0.2,5.38,0.01,65.62,10.62,0,0 ,4.36,0,13.8,0
Swiss__CHE_LN_RA59,0,0.67,5.33,0.69,62.65,17.61,0, 0,5.03,0,7.47,0.56
Swiss__CHE_LN_RA61,0,0,3.67,0,66.94,11.95,0,0,5.61 ,0.3,10.78,0.74
Swiss__CHE_LN_RA62,0,0,3.29,1.05,62.13,14.4,0,0,6. 78,0,12.21,0.14
Swiss__CHE_EBA_RA63,14.41,0,2.47,1.94,44.59,31.39, 0,0,0.83,0,3.8,0.56
Swiss__CHE_EBA_RA64,11.84,1.01,0,0,36.62,42.5,1.7, 0,0.78,0.16,4.19,1.2
Swiss__CHE_LN_SX10,0,0,0.44,1.87,71.06,7.85,0,0,8. 65,0.09,9.82,0.21
Swiss__CHE_MN_SX11,0,0,5.75,0.59,60.13,14.3,0,0,7. 67,0,11.55,0
Swiss__CHE_FN_SX17,0,0,2.74,0,63,7.61,0,0,7.45,0,1 8.12,1.08
Swiss__CHE_IA_SX18,4.12,1.11,0.34,0,48.2,25.04,0,0 ,2.6,0,18.45,0.15
Swiss__CHE_EBA_SX20,4.09,0,2.12,1.76,45.79,34.5,0, 0,2.39,0,9.35,0
Swiss__CHE_FN_SX21,0,0,6.79,0,60.16,7.07,0,0,7.73, 0,18.25,0
Swiss__CHE_FN_SX22,0,0,3.51,0,62.93,9.08,0,0.22,8. 8,0,15.46,0
Swiss__CHE_EBA_SX23,7.46,1.19,0,0.07,39.15,38.51,1 .81,0.87,1.01,0,9.71,0.22
Swiss__CHE_FN_SX26,0,0,2.81,0,62.99,7.23,0,0.82,7. 48,0,18.68,0
Swiss__FRA_Lingolsheim_MN_SX29,0,0,4.35,0,55.37,6. 26,0,0.37,8.47,0,25.06,0.13
Swiss__FRA_Lingolsheim_MN_SX30,0,0,3.37,0,57.33,5, 0,0,9.61,1.63,22.63,0.42
Swiss__FRA_Lingolsheim_FN_steppe_SX32,13.58,1.27,0 ,0,30.33,44.55,1.44,0,0,0,8.03,0.79
Swiss__FRA_Lingolsheim_MN_SX33,0,0,4.08,0,53.39,0, 0,0,13.17,0,29.11,0.25
Swiss__CHE_LN_SX8,0,0,5.37,1.95,65.68,10.35,0,0,5. 88,0,10.05,0.72
Swiss__CHE_MN_SX9,0,0,2.4,0,62.26,12.85,0,0,10.54, 0.19,11.62,0.14
These are my results with @Jovilais consolidated coordinates (last post > #212), plus mlukas coordinates above (my top 125 of 1078 data source):
Distance to:
Duarte
6.29661020
GironaSantJuliadeRamis_I10892
7.04433105
GironaSantJuliadeRamis_I10895
7.10911387
EarlyMedievalAndalusia_I3585
7.44879185
I12516_SE_Iberia_c.10-16CE
7.65793053
I12514_SE_Iberia_c.10-16CE
7.71679338
EarlyMedievalIberiaGranada_I3981
7.93623966
MedievalTaifaofValencia_I12649
7.98459141
R63_Medieval_Era_Villa_Magna
8.04299695
GironaSantJuliadeRamis_I10852
8.20189003
Roman-SoldierFN_2
8.46322043
I3982_SE_Iberia_c.3-4CE
8.60645107
CrusaderKnightFrenchLebanonCrusaderSI40
9.03262420
I7675_NE_Iberia_c.6-8CE_ES
9.06797662
R110_Late_Antiquity_Crypta_Balbi
9.06809793
GironaSantJuliadeRamis_I10853
9.11247497
R1289_Medieval_Era_Cancelleria
9.35114966
I2215_Malak_Preslavets
9.61505590
CarthagoMaghrebiAndalusia_I7457
9.69586510
I7673_NE_Iberia_c.6-8CE_ES
9.70581269
I12515_SE_Iberia_c.10-16CE
9.70581269
SpaniardCordobaCaliphate_I12515
9.71447374
R474_Iron_Age_Civitavecchia
9.81952137
France_BA_NIED
9.91529626
I3584_SE_Iberia_c.5-8CE
10.15667268
I3809_SE_Iberia_c.10-16CE
10.25464773
Swiss__CHE_LN_o_lc_RA42
10.30660953
IberianCordobaCaliphate_I7498
10.39077957
GalloRomanCeltMixIberia_I10866
10.42890694
R435_Iron_Age_Palestrina_Colombella
10.50049999
R105_Late_Antiquity_Crypta_Balbi
10.65924481
CL94
10.75724872
I3574_SE_Iberia_c.5-8CE
10.92967978
I8343_NE_Iberia_Late_RomP
10.97051503
R109_Late_Antiquity_Crypta_Balbi
10.99515348
I2478_Bronze_Age_Beaker_Northern_Italy
11.15622248
R1221_Medieval_Era_Cancelleria
11.16013441
HispanoRomanTaifaofValencia_I12647
11.16459135
CrusaderKnightTuscanLebanonCrusaderSI41
11.33047219
I3579_SE_Iberia_c.5-8CE
11.35759217
I10897_NE_Iberia_c.8-12CE
11.48914270
Swiss__CHE_IA_SX18
11.49004787
GironaSantJuliadeRamis_I10851
11.61387532
Swiss__DEU_Singen_EBA_MX277
11.65966552
MX299_Switzerland_LN
11.87657358
I3577_SE_Iberia_c.5-8CE
11.88660170
I12221_Sardinia_EarlyMedieval_Grotta_Colombi
11.90604048
I8475_NE_Iberia_RomP_atypical
12.03036575
R1015_Iron_Age_Veio_Grotta_Gramiccia
12.03439238
Bavaria_BB_II5524
12.04482461
SX18_Switzerland_LN
12.14150320
R1224_Medieval_Era_Cancelleria
12.16578810
VasconicTribe_I8209
12.16578810
I8209_NE_Iberia_Greek_Empuries1
12.17079702
R1016_Iron_Age_Castel_di_Decima
12.19324813
I8561_Sicily_EBA_Isnello
12.20263086
I2520_Balkans_BronzeAge
12.25444001
France_IA_NOR3-15
12.27438389
I3582_SE_Iberia_c.5-8CE
12.34029578
CL23
12.49615941
NorthAlpineBronzeAgeFrench_AITI_43
12.50451119
I3575_SE_Iberia_c.5-8CE
12.54019936
IlergetesTribeCatalan_I3320
12.54736626
NorthAlpineBronzeAgeSpanishGalicia_AITI_72
12.57616794
MX277_Switzerland_LN
12.63278671
ElSotilloBasqueCountry_I1977
12.69163898
MoriscoConvertAndalusia_I7425
12.74332374
VisigothIberianGirona_I12034
12.81295828
R473_Iron_Age_Civitavecchia
12.82182514
CuevadelaPalomaSpain_I3239
12.82705344
HispanoRomanTaifaofValencia_I12644
12.83967679
I11443_Sicily_EBA_Buffa_Cave_II
12.87537961
I7676_NE_Iberia_c.6-8CE_ES
12.92343994
LateRomanIberiaGranada_I3581
13.03669053
France_IA_NOR4
13.09574358
I3807_SE_Iberia_c.10-16CE
13.09893889
R851_Iron_Age_Ardea
13.10971396
I3775_NE_Iberia_c.6-8CE_ES
13.12292269
I12033_NE_Iberia_c.6CE_PL
13.16538264
NorthAlpineBronzeAgeFrench_AITI_120
13.16590293
I1113_Malak_Preslavets
13.18885893
LBA_ElSotillo_Alava_I2469
13.25569312
I3583_SE_Iberia_c.5-8CE
13.31904651
SX20_Switzerland_LN
13.35447116
I3578_SE_Iberia_c.5-8CE
13.37931613
R1021_Iron_Age_Boville_Ernica
13.42910273
LateRomanIberiaGranada_I3576
13.50358471
BasqueCarolingian_I3777
13.51362276
SZ28
13.51629757
France_IA_NOR2B6
13.52795993
R55_Medieval_Era_Villa_Magna
13.53086472
I6490_NE_Iberia_RomP
13.53802423
NorthAlpineBronzeAgeFrench_AITI_119
13.61640555
I2111_Trypillia
13.61755117
R116_Imperial_Era_Via_Paisiello_Necropolis
13.65564352
I3313_Balkans_BronzeAge
13.79720262
I12164_NE_Iberia_c.6CE_PL
13.82878158
RISE254_Szazhalombatta-Foldvar_Hungary_3631_years
13.88216122
I12030_NE_Iberia_c.6CE_PL
13.92567772
I4329_Mallorca_EBA_Cova_des_Moro_Mallorca_Spain
14.14365229
I8145_SE_Iberia_c.10-16CE
14.18425183
France_BA_PIR3037AB
14.22937103
MX283_Switzerland_LN
14.28210769
Swiss__CHE_FN_contaminated_MX298
14.32799707
I4331_Balkans_BronzeAge
14.36241275
I2176_Balkans_BronzeAge
14.43174626
VasconesTribeVasconia_I3758
14.49822748
IronAgeCatalan_I12640
14.49877926
Swiss__DEU_Singen_EBA_MX286
14.50427178
Swiss__CHE_EBA_SX20
14.52306441
BronzeAgeSpainCogotas_I12208
14.52306441
BronzeAgeSpainCogotas_I12208
14.59378292
I7423_SE_Iberia_c.10-16CE
14.59466683
I3778_NE_Iberia_c.6-8CE_ES
14.65102044
I4332_Balkans_BronzeAge
14.80031419
I3866_NE_Iberia_c.6-8CE_ES
14.80951383
BronzeAgeEngland_I2462
14.82245256
VasconesTribeVasconia_I3759
14.89513008
I3776_NE_Iberia_c.6-8CE_ES
14.91475109
I4420_all_Formentera_MBA_Formentera_Spain
14.97882172
R1220_Medieval_Era_Cancelleria
15.00217651
France_IA_ERS88
15.05139861
I7800_Sicily_EBA_Contrada_Paolina_Castellucciana
15.05349461
RISE349_Battonya_Voros_Oktober_Hungary_3588_years
15.07031519
R37_Imperial_Era_Isola_Sacra_Necropolis
15.07242184
I3983_SE_Iberia_c.3-4CE
https://i.imgur.com/EG6R5po.png
Thanks @Jovialis and @Duarte :)
Comparing:
Top 10 Dod K12 (Combined, comb-23andme-v4+5, AncestryDNA, 23andme-v5, 23andme-v4, LivingDNA, NatGeo-Helix)
https://i.imgur.com/wubyBb7.gif
https://i.imgur.com/L3lq1p8.gif
no change for mine
Distance to:
Torziok12b
1.89726118
R55_Medieval_Era_Villa_Magna
4.40054542
I4331_Balkans_BronzeAge
4.63928874
R105_Late_Antiquity_Crypta_Balbi
4.65249395
R474_Iron_Age_Civitavecchia
4.82277928
Collegno23
4.86300319
R1_Iron_Age_Protovillanovan_Martinsicuro
5.02880702
I4332_Balkans_BronzeAge
5.21492090
R33_Late_Antiquity_Mausole_di_Augusto
6.00532264
Szolad28
6.60955369
Collegno49
6.88000000
I3499_NWBalkans_PannonianPlain_Vucedol_EN
6.93799683
Collegno94
7.28685117
R1221_Medieval_Era_Cancelleria
7.57478052
I3313_Balkans_BronzeAge
7.62312272
Collegno57
7.70831369
Collegno36
7.72828571
Collegno47
7.79092421
GironaSantJuliadeRamis_I10853
7.88022842
R61_Medieval_Era_Villa_Magna
7.89459942
Bavaria_BB_II5524
7.93197958
Szolad45
8.04563857
R110_Late_Antiquity_Crypta_Balbi
8.04795626
I3866_NE_Iberia_c.6-8CE_ES
8.04854024
Szolad43
8.12515231
Szolad27
77.0
R55_Medieval_Era_Villa_Magna
9.2
NorthAlpineBronzeAgeFrench_AITI_120
7.2
I5402_Iron_Gates_HG
5.8
Szolad27
0.8
Collegno49
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R55 sample ..............my first and a huge split in numbers from #2
https://i.postimg.cc/cLn1TTqP/r55-sample.png (https://postimages.org/)
The calculator is now known as "Dodecad K12b Ancient West Eurasia" on Admixture studio:
https://i.imgur.com/wh8EbFi.png
Distance to:
Halfalp
4.30843359
Swiss__DEU_Anselfingen_FN_MX259
6.62616028
France_IA_COL153A
6.85072259
France_IA_ERS1164
7.02192993
Swiss__DEU_Singen_EBA_MX254_relMX286
7.14354254
France_IA_NOR2B6
7.74472724
France_IA_COL153i
8.92820251
Swiss__CHE_EBA_SX23
9.15642944
Swiss__DEU_Singen_EBA_MX258
9.27599590
France_BA_RIX15
9.94211245
France_BA_PIR3116B
9.97665275
France_BA_RIX2
10.25291178
France_IA_NOR3-15
10.78046845
Swiss__DEU_Singen_EIA_MX265
10.91804012
France_IA_ATT26
10.96714183
Swiss__CHE_FN_steppe_MX304
11.01590214
France_IA_ERS86
11.41390818
Swiss__DEU_Singen_EBA_MX279
11.86336377
Swiss__DEU_Singen_EBA_MX270_relMX275
11.86879943
France_BA_BIS130
12.00805147
Swiss__DEU_Singen_EBA_MX286
12.21057329
Swiss__CHE_FN_contaminated_MX298
12.32872256
Swiss__DEU_Singen_EBA_MX277
12.48802627
Swiss__DEU_Singen_EBA_MX283_relMX286
12.70323581
France_IA_Jeb8
12.75863237
Swiss__DEU_Singen_EBA_MX257
13.06638052
France_IA_COL11
13.22243548
France_BA_BIS385
13.27801943
France_IA_NOR3-6
13.55285210
Swiss__DEU_Singen_EBA_MX288
13.84513633
Swiss__CHE_EBA_SX20
13.85563423
France_IA_ERS88
13.86446537
Swiss__DEU_Singen_EBA_MX256
14.07152799
Swiss__Corded_Ware_CHE_MX190
14.70058162
Swiss__Corded_Ware_CHE_MX188_rel190
14.71341905
Swiss__DEU_Singen_EBA_MX280
14.94688262
Swiss__FRA_Lingolsheim_FN_steppe_SX32
15.03531842
France_BA_OBE3722
15.39002924
France_IA_NOR4
15.40254524
Swiss__CHE_EBA_RA64
15.99976250
Swiss__DEU_Singen_EBA_MX275_relMX286
16.28378949
France_BA_RIX4
16.38419055
Swiss__DEU_Singen_EBA_MX251
16.41837081
France_IA_BFM265
16.83585757
Swiss__DEU_Singen_EBA_MX252
17.09890932
France_BA_PSS4170
17.43265901
Swiss__Corded_Ware_CHE_MX199
17.90385713
Swiss__CHE_IA_SX18
18.02259693
France_IA_BES1248
18.15940252
France_IA_PEY53
18.86007688
Swiss__Corded_Ware_CHE_MX192_rel195_rel197
Interesting enough, i'm very close to ancient Bell Beakers from Switzerland or Germany, but not too much to Swiss Corded peoples.
... nice, Eupedia Team :)
Dodecad K12b Ancient West Eurasia
... by coincidence the top 3 are consecutive samples, what are the chances of that? :grin:
https://i.imgur.com/TBjXTQ6.gif
https://i.imgur.com/7lJNwXR.gif
Thanks Jovialis.
These are the coordinates added by mlukas (France and Swiss) to default Vahaduo Dodecad K12b Ancient (Thanks mlucas):
France_BA_BIS130,12.55,1.32,0,0,39.68,36.91,0,0,0. 69,0,8.26,0.59
France_BA_BIS385,9.52,3.12,3.88,0,35.86,40.82,0,0, 0.35,0.5,5.91,0.04
France_BA_EUG11,0,0,0,0,52.94,30.66,0,0.91,6.46,0, 8.54,0.49
France_BA_NIED,4.83,0,4.74,0,49.31,24.76,0.78,0,0, 0.65,14.61,0.33
France_BA_OBE3626-1,10.61,1.66,0.02,0,40.31,46.53,0,0,0,0.87,0,0
France_BA_OBE3722,11.78,0,0,0.45,31.93,46.83,0.9,0 .22,0,0,7.89,0
France_BA_PIR3037AB,0,0,0,1.68,51.3,22.91,0,2.76,3 .26,0,18.1,0
France_BA_PIR3116B,5.46,1.83,0,0,43.35,36.92,0,0,0 ,0,11.96,0.48
France_BA_PSS4170,2.38,0,0,0.14,49.64,35.11,1.21,0 .5,1.48,0,9.12,0.41
France_BA_QUIN234,0,0,0,0,56.74,28.91,0.93,0,2.37, 0,10.89,0.16
France_BA_QUIN58,5.24,0.47,5.23,0.85,48.57,28.4,0. 93,0,8.66,0,1.66,0
France_BA_RIX15,6.19,0,0,0,41.63,38.23,2.68,0,0,0, 10.94,0.32
France_BA_RIX2,0.79,0,1.93,0,42.83,34.5,2.37,0.2,1 .2,0,16.18,0
France_BA_RIX4,9.11,0,1.21,0,40.83,42.26,0.43,1.25 ,1.53,0,3.2,0.18
France_IA_ATT26,8.03,0,0,0,38.27,41.78,1.62,0,0,0, 8.39,1.91
France_IA_BES1248,7.47,0.41,0,0,38.78,48.44,0,0,0, 0.87,3.9,0.13
France_IA_BFM265,8.47,0,0,0,46.94,33.73,1.07,0,2.9 2,0,6.55,0.31
France_IA_COL11,5.44,0,0,0,39.43,43.4,3.64,0,0,0,7 .21,0.87
France_IA_COL153A,5.24,0,0,0,31.38,39.94,0,0,4.37, 0,19.07,0
France_IA_COL153i,0,2.46,0,1.26,36.79,36.9,0,1.4,1 .84,1.45,17.9,0
France_IA_ERS1164,10.29,0.38,1.46,1.07,36.78,37.73 ,0,0,0,0,12.1,0.19
France_IA_ERS86,6.75,0,0,0,38.28,36.57,0,1.16,7.72 ,0,9.51,0
France_IA_ERS88,2.63,0,0,0,39.51,27.62,0.37,0,6.2, 0,23.67,0
France_IA_Jeb8,3.73,0,0,0,43.53,37,3.59,0.44,2.74, 0,8.7,0.27
France_IA_NOR2B6,5.4,0.59,2.84,0.19,36.97,33.37,0, 0.59,5.34,0,14.71,0
France_IA_NOR3-15,5.34,0.01,4.35,0.8,35.87,30.28,0,0,7.23,0,16.12 ,0
France_IA_NOR3-6,6.77,0,6.29,0.46,38.53,40.47,1.07,0,0.25,0,6.16, 0
France_IA_NOR4,0,0,1.9,0,46.92,30.78,2.37,0,3.11,1 .08,13.84,0
France_IA_PECH5,0.57,0,0,1.84,56.86,29.5,0,0,7.87, 2.27,1.09,0
France_IA_PEY53,11.04,0,0,0,44.3,35.83,0.2,0,3.09, 1.68,2.59,1.28
Swiss__CHE_LN_Aesch1,0,0,5.14,0,66.22,8.07,0.89,0, 7.22,0.32,12.13,0
Swiss__CHE_LN_Aesch10,0,0,2.92,0,66.07,9.04,0,0,11 .08,0,10.89,0
Swiss__CHE_LN_Aesch11_rel17,0,0,2.19,0,66.81,8.62, 0,0.02,9.75,0.3,11.93,0.39
Swiss__CHE_LN_Aesch12_rel3_19_24,0,0,6.41,0,67.23, 6.95,0,0,8,0,10.95,0.46
Swiss__CHE_LN_Aesch13,0,0,1.31,0,66.01,12.48,0,0.3 5,7.46,0,12.25,0.13
Swiss__CHE_LN_Aesch14_rel15,0,0,4.49,0,66.12,7.45, 0,0,7.76,0.11,14.07,0
Swiss__CHE_LN_Aesch15,0,0.26,6.67,0,63.08,7.62,0,0 ,6.95,0,15.41,0
Swiss__CHE_LN_Aesch16,0,0,3.66,3.33,63.69,6.8,0.12 ,0,7.69,0,14.17,0.55
Swiss__CHE_LN_Aesch17,0,0,2.64,0.43,66.6,8.81,0,0, 8.94,0,11.87,0.7
Swiss__CHE_LN_Aesch18,0,0.31,3.35,0.85,64.84,8.74, 0,0,7.76,0,13.66,0.49
Swiss__CHE_LN_Aesch19,0,0,4.35,0,65.71,10.06,0,0,5 .9,0,13.97,0
Swiss__CHE_LN_Aesch2,0,0,7.95,0.42,68.2,6.18,0,0,4 .74,0.75,11.76,0
Swiss__CHE_LN_Aesch20,0,0.79,4.08,0,70.8,10.17,0,0 ,6.42,0.31,7.27,0.18
Swiss__CHE_LN_Aesch21,0,0,3.8,0,69.35,7.71,0,0,9.2 5,0,9.9,0
Swiss__CHE_LN_Aesch22,0,0,6.67,0,63.65,10.84,0,0,7 .3,0,11.22,0.33
Swiss__CHE_LN_Aesch23,0,0,5.6,0,66.13,9.57,0,0,7.0 6,0,11.25,0.39
Swiss__CHE_LN_Aesch24,0,0,3.11,0,71.44,6.72,0,0,6. 29,0.71,11.73,0
Swiss__CHE_LN_steppe_Aesch25,20.57,1.42,0.13,0,22. 92,54.23,0,0,0,0,0,0.73
Swiss__CHE_LN_Aesch3_rel12_19,0,0,6.49,0,61.66,10. 93,0,0,6.83,0,14.09,0
Swiss__CHE_LN_Aesch4,0,0,4.47,0,66.1,12.45,0,0,5.1 3,0.58,10.92,0.36
Swiss__CHE_LN_Aesch5,0,0,6.13,0.04,65.62,9.08,0,0, 8.23,0,10.77,0.15
Swiss__CHE_LN_Aesch6,0,0.29,0,0,64.03,15.85,0,0.28 ,9.18,0.08,10.28,0
Swiss__CHE_LN_Aesch7,0,0,4.6,0.62,65.07,15.65,0,0, 5.23,0.4,8.4,0.02
Swiss__CHE_LN_Aesch8,0,0,3.89,0.65,71.47,7.15,0,0, 4.55,0,12.28,0
Swiss__CHE_LN_Aesch9,0,0,3.79,0.42,66.39,10.14,0,0 ,7.29,0,11.88,0.1
Swiss__CHE_LN_MX150,0,0,3.23,0.38,66.5,12.36,0,0,1 0.41,0,7.13,0
Swiss__CHE_LN_MX182,0,0,3.59,0,67.52,9.54,0,0,5.08 ,1.17,12.53,0.57
Swiss__CHE_LN_MX183,0,0,3.98,0,65.64,8.33,0.29,0,8 .16,0,12.98,0.61
Swiss__CHE_LN_MX184,0,0,4.79,0.17,66.6,11.51,0,0,6 .36,0.1,10.16,0.31
Swiss__CHE_LN_MX187_rel_MX150_MX212,0,0,3.98,0.28, 64.82,9.85,0,0,7.43,0.36,13.04,0.23
Swiss__Corded_Ware_CHE_MX188_rel190,10.84,1.47,0.5 1,0,32.55,45.66,0.23,0,0,0,6.96,1.77
Swiss__Corded_Ware_CHE_MX189,12.04,0.17,0,0.21,31. 67,48.64,2.46,0,0,0,3.34,1.46
Swiss__Corded_Ware_CHE_MX190,11.86,0.31,0,0,30.33, 45.77,0.87,0,0,0,9.38,1.47
Swiss__Corded_Ware_CHE_MX191,14.15,0,0,0,31.46,47. 76,1.35,0.6,0,1.4,2.37,0.91
Swiss__Corded_Ware_CHE_MX192_rel195_rel197,12.56,2 .49,0,0.1,36.67,45.01,0,0,0,0,1.75,1.43
Swiss__Corded_Ware_CHE_MX193,0,0,6.35,0,69.01,10.8 2,0,0,4.04,0.48,8.8,0.49
Swiss__Corded_Ware_CHE_MX194,17.96,0.89,2.11,0,26. 68,44.14,0,0.24,0,2.32,5.36,0.3
Swiss__Corded_Ware_CHE_MX195_rel192_197,13.46,1.36 ,0,0.13,34.41,47.79,1.26,0,0,0,0.81,0.77
Swiss__Corded_Ware_CHE_MX196,15.81,1.31,0,0,23.83, 50.18,0.33,0,0,0,7.29,1.26
Swiss__Corded_Ware_CHE_MX197,17.11,1.45,0,0.7,32.2 2,46.88,0,0.39,0,0,0.41,0.85
Swiss__Corded_Ware_CHE_MX198,13.68,1.02,0.26,0.02, 26.12,50.5,0,0.78,0,0.83,6.17,0.61
Swiss__Corded_Ware_CHE_MX199,12.97,1.55,0,0.29,25. 36,47.42,0,1,0,0,10.52,0.89
Swiss__CHE_LN_MX203,0,0,0.67,1.66,64.93,3.85,0,0,9 .4,0,19.48,0
Swiss__CHE_LN_MX204,0,0,2.95,0,65.46,7.86,0.38,0.2 5,6.36,0,16.71,0.04
Swiss__CHE_LN_MX209_relMX219,0,0,3.31,0,67.46,7.77 ,0,0,13.1,0,8.36,0
Swiss__CHE_LN_MX210,0,0,2.29,0,70.09,14.51,0,0,6.3 8,0,6.72,0
Swiss__CHE_LN_MX211,0,0.73,4.47,0.05,67.54,7.8,0,0 .27,5.7,0,13.43,0
Swiss__CHE_LN_MX212,0,0,5.39,0,66.45,11.69,0,0.14, 6.65,0,9.69,0
Swiss__CHE_LN_MX213,0,0,4.83,0.07,70.62,10.52,0,0, 6.73,0,6.48,0.74
Swiss__CHE_LN_MX219,0,0,9.06,0,60.24,13.28,0,0,6.4 9,0,10.93,0
Swiss__DEU_Singen_EBA_MX251,9.18,0,4.39,0,37.39,41 .05,0,0,4.6,0,2.75,0.65
Swiss__DEU_Singen_EBA_MX252,10.03,0,3.7,0,41.47,39 .83,1.24,0,0.77,0,2.56,0.39
Swiss__DEU_Singen_EBA_MX254_relMX286,4.21,1.64,0.8 7,0,39.21,35.58,0,0,4.32,0,14.07,0.11
Swiss__DEU_Singen_EBA_MX256,0,0,0,3.91,44.9,33.87, 2.28,0,0,2.58,12.46,0
Swiss__DEU_Singen_EBA_MX257,10.19,0.64,4.42,0,38.4 ,38.33,1.01,0,0.29,0,6.17,0.56
Swiss__DEU_Singen_EBA_MX258,10.11,1.01,2.46,0,34.2 7,38.93,0.09,0,2.67,0,9.78,0.68
Swiss__DEU_Anselfingen_FN_MX259,7.5,0,0,0,32.66,39 .39,0,1.43,0.4,0,17.96,0.66
Swiss__DEU_Singen_EIA_MX265,0,0,1.08,0.09,31.43,43 .8,1.06,0.52,4.09,0,17.45,0.49
Swiss__DEU_Singen_EBA_MX270_relMX275,10.1,1.08,0,0 ,39.93,38.2,0,1.24,2.12,0,7.33,0
Swiss__DEU_Singen_EBA_MX275_relMX286,11.54,2.12,4. 26,0,40.78,35.62,0,0,1.73,0,3.86,0.11
Swiss__DEU_Singen_EBA_MX277,5.76,0,4.28,0.49,43.18 ,32.5,0,1.93,1.81,0,10.05,0
Swiss__DEU_Singen_EBA_MX279,7.68,0,0,0,37.79,42.14 ,2.97,0,0.45,0,7.85,1.11
Swiss__DEU_Singen_EBA_MX280,8.18,1.45,0.42,0.9,38. 26,43.28,0,0.92,0.89,0,4.67,1.02
Swiss__DEU_Singen_EBA_MX283_relMX286,5.25,0.2,0,0. 01,44.54,36.06,0,0,3.06,0,9.52,1.36
Swiss__DEU_Singen_EBA_MX286,8.75,0,0,1.66,42.8,34. 14,0.47,0,2.3,0,9.03,0.86
Swiss__DEU_Singen_EBA_MX288,6.1,1.57,0,0,43.23,39. 94,0,0,1.58,0.4,6.89,0.29
Swiss__CHE_FN_contaminated_MX298,14.39,0,0,0,39.46 ,30.55,0,0,2.98,0,12.63,0
Swiss__CHE_LN_MX299,0,0,6.72,0.43,66.47,3.55,2.13, 0,7.62,0,13.08,0
Swiss__CHE_FN_steppe_MX304,0,2.12,0,0,39.27,43.02, 0,0,0,2.22,13.37,0
Swiss__CHE_LN_o_lc_RA42,1.55,0,2.83,0.57,49.49,24. 26,1.06,0,4.7,0,14.6,0.95
Swiss__CHE_LN_RA43,0,0,3.29,2.13,58.49,11.16,0,0,1 2.38,0,12.56,0
Swiss__CHE_LN_RA44,0,1.54,5.79,0,63.38,9.95,0,0,7. 8,2.66,6.89,2
Swiss__CHE_LN_RA45,0,0.12,5.32,0.66,65.26,12.84,0, 0,4.86,0,10.49,0.45
Swiss__CHE_LN_RA54,0,0,2.77,0,68.09,5.94,0,0,0,0.5 1,21.82,0.87
Swiss__CHE_LN_RA57,0,0,5.94,0,61.64,11.7,0,0,9.22, 0,11.01,0.49
Swiss__CHE_LN_RA58,0,0.2,5.38,0.01,65.62,10.62,0,0 ,4.36,0,13.8,0
Swiss__CHE_LN_RA59,0,0.67,5.33,0.69,62.65,17.61,0, 0,5.03,0,7.47,0.56
Swiss__CHE_LN_RA61,0,0,3.67,0,66.94,11.95,0,0,5.61 ,0.3,10.78,0.74
Swiss__CHE_LN_RA62,0,0,3.29,1.05,62.13,14.4,0,0,6. 78,0,12.21,0.14
Swiss__CHE_EBA_RA63,14.41,0,2.47,1.94,44.59,31.39, 0,0,0.83,0,3.8,0.56
Swiss__CHE_EBA_RA64,11.84,1.01,0,0,36.62,42.5,1.7, 0,0.78,0.16,4.19,1.2
Swiss__CHE_LN_SX10,0,0,0.44,1.87,71.06,7.85,0,0,8. 65,0.09,9.82,0.21
Swiss__CHE_MN_SX11,0,0,5.75,0.59,60.13,14.3,0,0,7. 67,0,11.55,0
Swiss__CHE_FN_SX17,0,0,2.74,0,63,7.61,0,0,7.45,0,1 8.12,1.08
Swiss__CHE_IA_SX18,4.12,1.11,0.34,0,48.2,25.04,0,0 ,2.6,0,18.45,0.15
Swiss__CHE_EBA_SX20,4.09,0,2.12,1.76,45.79,34.5,0, 0,2.39,0,9.35,0
Swiss__CHE_FN_SX21,0,0,6.79,0,60.16,7.07,0,0,7.73, 0,18.25,0
Swiss__CHE_FN_SX22,0,0,3.51,0,62.93,9.08,0,0.22,8. 8,0,15.46,0
Swiss__CHE_EBA_SX23,7.46,1.19,0,0.07,39.15,38.51,1 .81,0.87,1.01,0,9.71,0.22
Swiss__CHE_FN_SX26,0,0,2.81,0,62.99,7.23,0,0.82,7. 48,0,18.68,0
Swiss__FRA_Lingolsheim_MN_SX29,0,0,4.35,0,55.37,6. 26,0,0.37,8.47,0,25.06,0.13
Swiss__FRA_Lingolsheim_MN_SX30,0,0,3.37,0,57.33,5, 0,0,9.61,1.63,22.63,0.42
Swiss__FRA_Lingolsheim_FN_steppe_SX32,13.58,1.27,0 ,0,30.33,44.55,1.44,0,0,0,8.03,0.79
Swiss__FRA_Lingolsheim_MN_SX33,0,0,4.08,0,53.39,0, 0,0,13.17,0,29.11,0.25
Swiss__CHE_LN_SX8,0,0,5.37,1.95,65.68,10.35,0,0,5. 88,0,10.05,0.72
Swiss__CHE_MN_SX9,0,0,2.4,0,62.26,12.85,0,0,10.54, 0.19,11.62,0.14
These are my results with @Jovilais consolidated coordinates (last post > #212), plus mlukas coordinates above (my top 125 of 1078 data source):
Distance to:
Duarte
6.29661020
GironaSantJuliadeRamis_I10892
7.04433105
GironaSantJuliadeRamis_I10895
7.10911387
EarlyMedievalAndalusia_I3585
7.44879185
I12516_SE_Iberia_c.10-16CE
7.65793053
I12514_SE_Iberia_c.10-16CE
7.71679338
EarlyMedievalIberiaGranada_I3981
7.93623966
MedievalTaifaofValencia_I12649
7.98459141
R63_Medieval_Era_Villa_Magna
8.04299695
GironaSantJuliadeRamis_I10852
8.20189003
Roman-SoldierFN_2
8.46322043
I3982_SE_Iberia_c.3-4CE
8.60645107
CrusaderKnightFrenchLebanonCrusaderSI40
9.03262420
I7675_NE_Iberia_c.6-8CE_ES
9.06797662
R110_Late_Antiquity_Crypta_Balbi
9.06809793
GironaSantJuliadeRamis_I10853
9.11247497
R1289_Medieval_Era_Cancelleria
9.35114966
I2215_Malak_Preslavets
9.61505590
CarthagoMaghrebiAndalusia_I7457
9.69586510
I7673_NE_Iberia_c.6-8CE_ES
9.70581269
I12515_SE_Iberia_c.10-16CE
9.70581269
SpaniardCordobaCaliphate_I12515
9.71447374
R474_Iron_Age_Civitavecchia
9.81952137
France_BA_NIED
9.91529626
I3584_SE_Iberia_c.5-8CE
10.15667268
I3809_SE_Iberia_c.10-16CE
10.25464773
Swiss__CHE_LN_o_lc_RA42
10.30660953
IberianCordobaCaliphate_I7498
10.39077957
GalloRomanCeltMixIberia_I10866
10.42890694
R435_Iron_Age_Palestrina_Colombella
10.50049999
R105_Late_Antiquity_Crypta_Balbi
10.65924481
CL94
10.75724872
I3574_SE_Iberia_c.5-8CE
10.92967978
I8343_NE_Iberia_Late_RomP
10.97051503
R109_Late_Antiquity_Crypta_Balbi
10.99515348
I2478_Bronze_Age_Beaker_Northern_Italy
11.15622248
R1221_Medieval_Era_Cancelleria
11.16013441
HispanoRomanTaifaofValencia_I12647
11.16459135
CrusaderKnightTuscanLebanonCrusaderSI41
11.33047219
I3579_SE_Iberia_c.5-8CE
11.35759217
I10897_NE_Iberia_c.8-12CE
11.48914270
Swiss__CHE_IA_SX18
11.49004787
GironaSantJuliadeRamis_I10851
11.61387532
Swiss__DEU_Singen_EBA_MX277
11.65966552
MX299_Switzerland_LN
11.87657358
I3577_SE_Iberia_c.5-8CE
11.88660170
I12221_Sardinia_EarlyMedieval_Grotta_Colombi
11.90604048
I8475_NE_Iberia_RomP_atypical
12.03036575
R1015_Iron_Age_Veio_Grotta_Gramiccia
12.03439238
Bavaria_BB_II5524
12.04482461
SX18_Switzerland_LN
12.14150320
R1224_Medieval_Era_Cancelleria
12.16578810
VasconicTribe_I8209
12.16578810
I8209_NE_Iberia_Greek_Empuries1
12.17079702
R1016_Iron_Age_Castel_di_Decima
12.19324813
I8561_Sicily_EBA_Isnello
12.20263086
I2520_Balkans_BronzeAge
12.25444001
France_IA_NOR3-15
12.27438389
I3582_SE_Iberia_c.5-8CE
12.34029578
CL23
12.49615941
NorthAlpineBronzeAgeFrench_AITI_43
12.50451119
I3575_SE_Iberia_c.5-8CE
12.54019936
IlergetesTribeCatalan_I3320
12.54736626
NorthAlpineBronzeAgeSpanishGalicia_AITI_72
12.57616794
MX277_Switzerland_LN
12.63278671
ElSotilloBasqueCountry_I1977
12.69163898
MoriscoConvertAndalusia_I7425
12.74332374
VisigothIberianGirona_I12034
12.81295828
R473_Iron_Age_Civitavecchia
12.82182514
CuevadelaPalomaSpain_I3239
12.82705344
HispanoRomanTaifaofValencia_I12644
12.83967679
I11443_Sicily_EBA_Buffa_Cave_II
12.87537961
I7676_NE_Iberia_c.6-8CE_ES
12.92343994
LateRomanIberiaGranada_I3581
13.03669053
France_IA_NOR4
13.09574358
I3807_SE_Iberia_c.10-16CE
13.09893889
R851_Iron_Age_Ardea
13.10971396
I3775_NE_Iberia_c.6-8CE_ES
13.12292269
I12033_NE_Iberia_c.6CE_PL
13.16538264
NorthAlpineBronzeAgeFrench_AITI_120
13.16590293
I1113_Malak_Preslavets
13.18885893
LBA_ElSotillo_Alava_I2469
13.25569312
I3583_SE_Iberia_c.5-8CE
13.31904651
SX20_Switzerland_LN
13.35447116
I3578_SE_Iberia_c.5-8CE
13.37931613
R1021_Iron_Age_Boville_Ernica
13.42910273
LateRomanIberiaGranada_I3576
13.50358471
BasqueCarolingian_I3777
13.51362276
SZ28
13.51629757
France_IA_NOR2B6
13.52795993
R55_Medieval_Era_Villa_Magna
13.53086472
I6490_NE_Iberia_RomP
13.53802423
NorthAlpineBronzeAgeFrench_AITI_119
13.61640555
I2111_Trypillia
13.61755117
R116_Imperial_Era_Via_Paisiello_Necropolis
13.65564352
I3313_Balkans_BronzeAge
13.79720262
I12164_NE_Iberia_c.6CE_PL
13.82878158
RISE254_Szazhalombatta-Foldvar_Hungary_3631_years
13.88216122
I12030_NE_Iberia_c.6CE_PL
13.92567772
I4329_Mallorca_EBA_Cova_des_Moro_Mallorca_Spain
14.14365229
I8145_SE_Iberia_c.10-16CE
14.18425183
France_BA_PIR3037AB
14.22937103
MX283_Switzerland_LN
14.28210769
Swiss__CHE_FN_contaminated_MX298
14.32799707
I4331_Balkans_BronzeAge
14.36241275
I2176_Balkans_BronzeAge
14.43174626
VasconesTribeVasconia_I3758
14.49822748
IronAgeCatalan_I12640
14.49877926
Swiss__DEU_Singen_EBA_MX286
14.50427178
Swiss__CHE_EBA_SX20
14.52306441
BronzeAgeSpainCogotas_I12208
14.52306441
BronzeAgeSpainCogotas_I12208
14.59378292
I7423_SE_Iberia_c.10-16CE
14.59466683
I3778_NE_Iberia_c.6-8CE_ES
14.65102044
I4332_Balkans_BronzeAge
14.80031419
I3866_NE_Iberia_c.6-8CE_ES
14.80951383
BronzeAgeEngland_I2462
14.82245256
VasconesTribeVasconia_I3759
14.89513008
I3776_NE_Iberia_c.6-8CE_ES
14.91475109
I4420_all_Formentera_MBA_Formentera_Spain
14.97882172
R1220_Medieval_Era_Cancelleria
15.00217651
France_IA_ERS88
15.05139861
I7800_Sicily_EBA_Contrada_Paolina_Castellucciana
15.05349461
RISE349_Battonya_Voros_Oktober_Hungary_3588_years
15.07031519
R37_Imperial_Era_Isola_Sacra_Necropolis
15.07242184
I3983_SE_Iberia_c.3-4CE
https://i.imgur.com/EG6R5po.png
I think we can safely say you're Iberian. :)
@jovialis
any way to get numbers on this person .................he has my ydna branch
https://gw.geneanet.org/aeswal?lang=en&pz=gitschard&nz=raron+von&p=ulrich&n=blarer
(https://gw.geneanet.org/aeswal?lang=en&pz=gitschard&nz=raron+von&p=ulrich&n=blarer)
As I also have a genetic match with Escher
https://www.myheritage.com/research/record-40001-1318166295/ulrich-blarer-in-familysearch-family-tree
awaiting reply from one of my "3rd-4th" cousins in myheritage
(https://www.myheritage.com/research/record-40001-1318166295/ulrich-blarer-in-familysearch-family-tree)Mara von Escher (https://www.myheritage.com/dna/matches/128426801?p=3#)
Age: 30's
From: Switzerlandhttps://d.mhcache.com/FP/Assets/Images/Flags/CH.png
DNA managed by Dani von Escher (https://www.myheritage.com/dna/matches/128426801?p=3#)
(https://www.myheritage.com/research/record-40001-1318166295/ulrich-blarer-in-familysearch-family-tree)
@jovialis
any way to get numbers on this person .................he has my ydna branch
https://gw.geneanet.org/aeswal?lang=en&pz=gitschard&nz=raron+von&p=ulrich&n=blarer
(https://gw.geneanet.org/aeswal?lang=en&pz=gitschard&nz=raron+von&p=ulrich&n=blarer)
As I also have a genetic match with Escher
https://www.myheritage.com/research/record-40001-1318166295/ulrich-blarer-in-familysearch-family-tree
I would need to have his autosomal DNA, via a raw data file.
I would need to have his autosomal DNA, via a raw data file.
OK....see post 220 again I sent a letter to Dani ......we wait
all I have is his snp
E4623
kit#
T-CTS933
L446+, L206+, CTS6071+, CTS933+, M184+, M70+, Y6055+, M70+, L131+, L131+, L206+, L446+, L490+, L906-, Y9221-, Y9326-, YP5441-, Z19963-, Z20015-, Z709-, L454-, L162-, L162-, FGC47830-, L1254-, L1255-, Y6409-, Y6410-, Y6671-, Y7381-, Y7389-, Y7393-, Y7430-, Y7438-, Y7468-, Y7794-, Y8614-, Y8694-, Y8849-, Y8852-, Y8853-, Y9102-, Y9104-, Y14629-, Y15122-, Y15127-, Y15128-, Y15129-, Y15130-, Y15648-, Y15709-, Y15711-, Y16021-, Y16136-, Y16240-, Y16241-, Y16244-, Y16247-, Y16279-, Y16897-, Y17493-, Y18003-, Y18004-, Y18472-, Y18956-, Y19159-, Y19161-, Y19167-, Y19196-, Y19367-, Y19370-, Y19372-, Y19381-, Y19767-, Y20698-, Y21004-, Y21012-, Y21017-, Y21204-, Y21205-, Y21221-, Y22256-, Y22257-, Y22258-, Y22559-, Y23280-, Y23343-, Y3781-, Y3782-, Y3789-, Y3824-, Y3836-, Y4119-, Y4981-, Y5674-, Y5685-, P317-, P321-, P322-, P327-, P328-, PAGES00002-, PF7443-, PF7444-, PF7445-, PF7455-, PF7469-, PF7473-, PH1097-, PH110-, PH114-, SK1474-, SK1478-, Y10898-, Y11077-, Y11151-, Y11596-, Y11675-, Y12641-, Y12643-, Y12871-, Y13243-, Y13263-, Y13279-, Y13384-, Y13698-, Y14121-, CTS9882-, FGC29142-, FGC40371-, FGC41138-, FGC46969-, FGC46972-, FGC47100-, CTS6174-, CTS6250-, CTS6280-, CTS6507-, CTS6901-, CTS8489-, CTS8512-, CTS8603-, CTS8862-, L208-, M320-, P77-, P327-, CTS11984-, CTS2214-, CTS3767-, CTS4319-, CTS4647-, L447-, BY11516-, BY11517-, BY11518-, BY11519-, BY11520-, BY11521*, FGC47123*, FGC4692*, Y14426*, PH141*, Y9109*
No change, except French Iron Age samples start to show up at a distance of 9. Amazing to me that I'm so close to Vucedol EN and Balkan Bronze Age.
Distance to:
Angela
5.96067110
I9123_Bronze_Age_Armenoi_Crete
5.96285167
I8475_NE_Iberia_RomP_atypical
6.06036303
I3313_Balkans_BronzeAge
6.16793320
R1285_Medieval_Era_Cancelleria
6.20598904
R1287_Medieval_Era_Cancelleria
6.36315173
Szolad43
6.86379633
I3499_NWBalkans_PannonianPlain_Vucedol_EN
6.88215809
R111_Imperial_Era_Via_Paisiello_Necropolis
6.99657773
I2176_Balkans_BronzeAge
7.16551464
I1979_Bronze_Age_Beaker_Northern_Italy
7.41494437
I2175_Balkans_BronzeAge
7.68900514
Collegno36
8.12881295
ScythianSouthernMoldova_scy197
8.38781259
Szolad28
8.75370207
Bul6_Balkans_BronzeAge
8.85352472
Bul10_Balkans_BronzeAge
8.99296392
Szolad31
9.00708055
Collegno23
9.01179227
R1283_Medieval_Era_Cancelleria
9.05183407
ScythianSouthernMoldova_scy192
9.10498215
R1016_Iron_Age_Castel_di_Decima
9.23041169
I4331_Balkans_BronzeAge
9.25520934
R120_Late_Antiquity_S_Ercolano_Necropolis_Ostia
9.31019871
ScythianMoldova_SCY300
9.40529638
R36_Late_Antiquity_Celio
9.46954592
R33_Late_Antiquity_Mausole_di_Augusto
9.61917356
R1015_Iron_Age_Veio_Grotta_Gramiccia
9.64873049
I4332_Balkans_BronzeAge
9.67363944
France_IA_ERS88
9.80181106
R1_Iron_Age_Protovillanovan_Martinsicuro
9.85873217
R110_Late_Antiquity_Crypta_Balbi
10.05061192
I2520_Balkans_BronzeAge
10.14013314
Szolad36
10.29759195
R118_Late_Antiquity_S_Ercolano_Necropolis_Ostia
10.39810079
I12516_SE_Iberia_c.10-16CE
10.76144972
R474_Iron_Age_Civitavecchia
10.77930888
I0706_Balkans_Neolithic
10.89582948
R1021_Iron_Age_Boville_Ernica
10.91793937
R473_Iron_Age_Civitavecchia
Target: Angela
Distance: 1.9313% / 1.93127499 | ADC: 0.5x
40.4
I3313_Balkans_BronzeAge
18.4
R1287_Medieval_Era_Cancelleria
17.4
I9123_Bronze_Age_Armenoi_Crete
8.8
R1285_Medieval_Era_Cancelleria
6.6
I0706_Balkans_Neolithic
4.8
I2175_Balkans_BronzeAge
3.6
R1016_Iron_Age_Castel_di_Decima
Target: Angela
Distance: 0.9525% / 0.95245399 | ADC: 0.25x
30.8
I3313_Balkans_BronzeAge
21.2
R1287_Medieval_Era_Cancelleria
14.2
R113_Imperial_Era_Via_Paisiello_Necropolis
10.4
I3151_Trypillia
8.4
I9123_Bronze_Age_Armenoi_Crete
6.0
R1016_Iron_Age_Castel_di_Decima
5.0
I0706_Balkans_Neolithic
2.2
I8475_NE_Iberia_RomP_atypical
1.8
I1295_Malak_Preslavets
Palermo Trapani
26-04-20, 02:35
Thanks to Jovialis (post 212) and Mlukas (213) for the coordinates. My top 180 (distances < 21) since Bronze Age Sicily Bell Beaker was within that range. Interestingly, a little closer to the Northern Italian Bell Beaker than Sicilian Bell Beaker, but I think both of those are predominate EEF ancestry, is that correct? The Bell Beaker civilization is documented to be 2800-1800 BC which predates the Greek migration into Sicily and Southern Italy, which occurred in the 1st millennium BC so as I think Angela alluded to before, significant EEF ancestry in all of mainland Italy and Sicily before Greek migrations. For me, the only newcomer relative to the Swiss and French ancient samples is France_IA_ERS88 (distance 20.38). R52 and R56 for Dodecad 12B stay as top 2 and Iron Age Roman R437 is still an Iron Age Roman < 5 and several Imperial Romans are < 5 as well.
Distance to:
PalermoTrapani
2.59038607
R56_Medieval_Era_Villa_Magna
2.76190152
R52_Medieval_Era_Villa_Magna
3.27177322
R122_Late_Antiquity_S_Ercolano_Necropolis_Ostia
3.34701359
R35_Late_Antiquity_Celio
3.84983117
R131_Imperial_Era_Via_Paisiello_Necropolis
4.10471680
R835_Imperial_Era_Civitanova_Marche
4.16370028
R1290_Medieval_Era_Villa_Magna
4.18976133
R437_Iron_Age_Palestrina_Selicata
4.32090268
R973_Medieval_Era_Tivoli_Palazzo_Cianti
4.40341913
SZ40
4.54783465
R49_Imperial_Era_Centocelle_Necropolis
4.57668002
R117_Late_Antiquity_S_Ercolano_Necropolis_Ostia
4.82952379
R65_Medieval_Era_Villa_Magna
4.83867751
R54_Medieval_Era_Villa_Magna
5.03103369
R836_Imperial_Era_Civitanova_Marche
5.08341421
CL121
5.10995108
R57_Medieval_Era_Villa_Magna
5.30245226
R47_Imperial_Era_Centocelle_Necropolis
5.32897739
R59_Medieval_Era_Villa_Magna
5.43089311
R969_Medieval_Era_Tivoli_Palazzo_Cianti
5.46635162
R64_Medieval_Era_Villa_Magna
5.50746766
R121_Late_Antiquity_S_Ercolano_Necropolis_Ostia
5.68175149
R107_Late_Antiquity_Crypta_Balbi
5.70777540
R113_Imperial_Era_Via_Paisiello_Necropolis
5.90403252
R118_Late_Antiquity_S_Ercolano_Necropolis_Ostia
6.04601522
R136_Imperial_Era_Marcellino_&_Pietro
6.21821518
R58_Medieval_Era_Villa_Magna
6.46672251
R1544_Imperial_Era_Necropolis_of_Monte_Agnese
6.74800711
R436_Imperial_Era_Palestrina
6.76732591
R60_Medieval_Era_Villa_Magna
6.77646663
R53_Medieval_Era_Villa_Magna
7.20115963
R120_Late_Antiquity_S_Ercolano_Necropolis_Ostia
7.28579440
R1283_Medieval_Era_Cancelleria
7.55757898
CrusaderKnightApuliaAbruzzoLebanonCrusaderSI53
7.62057741
R32_Late_Antiquity_Mausole_di_Augusto
8.11539894
R970_Medieval_Era_Tivoli_Palazzo_Cianti
8.21912404
R137_Imperial_Era_Marcellino_&_Pietro
8.36581735
R30_Late_Antiquity_Mausole_di_Augusto
8.41816488
I12220_Sardinia_LateAntiquity_Grotta_Colombi
8.85745449
R50_Imperial_Era_Centocelle_Necropolis
9.01662354
R1287_Medieval_Era_Cancelleria
9.08190509
CL25
9.08267582
R36_Late_Antiquity_Celio
9.08880080
R111_Imperial_Era_Via_Paisiello_Necropolis
9.26807963
R114_Imperial_Era_Via_Paisiello_Necropolis
9.27144541
CL110
9.42151262
R125_Imperial_Era_Casale_del_Dolce
9.64176851
scy192_Scythian
9.64398258
SZ19
9.79056178
I4054_SE_Iberia_c.3-4CE
9.83474962
scy300_Scythian
9.94731119
R1285_Medieval_Era_Cancelleria
9.97097789
R1549_Imperial_Era_Monterotondo
10.00080497
R51_Imperial_Era_Centocelle_Necropolis
10.29666451
SZ36
10.36353704
R45_Imperial_Era_Isola_Sacra_Necropolis
11.38594748
SZ31
11.49942172
R133_Imperial_Era_Marcellino_&_Pietro
11.55112549
I9041_Bronze_Age_Mycenaean_Galatas_Apatheia_Pelopo nnese
11.56716473
R69_Imperial_Era_ANAS
11.63612049
R1548_Imperial_Era_Monterotondo
11.71591652
CL38
11.85023628
CL30
12.16258607
SZ37
12.24358199
I10366_Sardinia_IA_Usellus
12.28268293
R39_Imperial_Era_Isola_Sacra_Necropolis
12.32164762
I9123_Bronze_Age_Armenoi_Crete
12.33247745
R80_Imperial_Era_Viale_Rossini_Necropolis
12.33723227
R81_Imperial_Era_Viale_Rossini_Necropolis
12.46343452
I9010_Bronze_Age_Mycenaean_Galatas_Apatheia_Pelopo nnese
12.75264286
R123_Imperial_Era_Casale_del_Dolce
12.77108844
R34_Late_Antiquity_Mausole_di_Augusto
12.80481941
CL36
12.80763444
R1545_Imperial_Era_Necropolis_of_Monte_Agnese
12.84361320
I7499_SE_Iberia_c.10-16CE
12.87494078
R115_Imperial_Era_Via_Paisiello_Necropolis
12.88004270
scy197_Scythian
12.99809217
I3808_SE_Iberia_c.10-16CE
13.23641568
R850_Iron_Age_Ardea
13.25961161
R40_Imperial_Era_Isola_Sacra_Necropolis
13.33041260
R134_Imperial_Era_Marcellino_&_Pietro
13.54778949
R1543_Imperial_Era_Necropolis_of_Monte_Agnese
13.59141273
ASH068_Iron_Age1
13.60991918
R66_Imperial_Era_ANAS
13.62262456
I9033_Bronze_Age_Mycenaean_Peristeria_Tryfilia_Pel oponnese
13.67620927
SZ43
13.67693314
I7500_SE_Iberia_c.10-16CE
13.91724470
I3499_NWBalkans_PannonianPlain_Vucedol_EN
13.96867209
I7424_SE_Iberia_c.10-16CE
14.00911489
I8205_NE_Iberia_Hel_Empuries2
14.24994035
R73_Imperial_Era_ANAS
14.38200612
I3980_SE_Iberia_c.5-8CE
14.58388837
R41_Imperial_Era_Isola_Sacra_Necropolis
14.86477380
I3983_SE_Iberia_c.3-4CE
15.05615821
Bul6_Balkans_BronzeAge
15.21495974
I8208_NE_Iberia_Hel_Empuries2
15.61245336
I2495_Bronze_Age_Anatolian_Harmanӧren-GӧndürleHӧyük_Isparta
15.81303260
I8475_NE_Iberia_RomP_atypical
16.29658246
I12030_NE_Iberia_c.6CE_PL
16.42560501
I3807_SE_Iberia_c.10-16CE
16.42978089
ANI159_ANI181_Varna
16.54641653
R475_Iron_Age_Civitavecchia
16.60320451
SZ1
16.70511000
CL23
16.71679694
scy305_Scythian
16.83746418
I2499_Bronze_Age_Anatolian_Harmanӧren-GӧndürleHӧyük_Isparta
17.04939588
I12221_Sardinia_EarlyMedieval_Grotta_Colombi
17.08555823
I9006_Bronze_Age_Mycenaean_Agia_Kyriaki_Salamis
17.09368012
CrusaderKnightTuscanLebanonCrusaderSI41
17.27937210
R130_Imperial_Era_Marcellino_&_Pietro
17.34458129
I1706_AG98_2_Early_Bronze_Age
17.40331865
R1_Iron_Age_Protovillanovan_Martinsicuro
17.51228997
R44_Imperial_Era_Isola_Sacra_Necropolis
17.59496235
I2176_Balkans_BronzeAge
17.61388089
LateRomanIberiaGranada_I3576
17.63311657
R75_Imperial_Era_Viale_Rossini_Necropolis
17.63358160
R72_Imperial_Era_ANAS
17.71219919
I2175_Balkans_BronzeAge
17.78634308
HispanoRomanTaifaofValencia_I12647
17.85565737
Kumtepe004_Anatolian
17.87940435
I0679_Krepost_Neolithic
18.01735552
I1584_Barcın_Höyük_Chalcolithic
18.04210354
I3876_Sicily_LBA_Marcita
18.20627639
Kumtepe006_Anatolian
18.25766688
I1979_Bronze_Age_Beaker_Northern_Italy
18.27538508
R33_Late_Antiquity_Mausole_di_Augusto
18.28067559
Bul10_Balkans_BronzeAge
18.28574035
I2424_Balkans_Chalcolithic
18.29629197
I2427_Balkans_Chalcolithic
18.31004369
I9005_Bronze_Age_Minoan_Hagios_Charalambos_Cave_La sithi_Crete
18.31167114
MoriscoConvertAndalusia_I7425
18.36492853
I3313_Balkans_BronzeAge
18.39318352
I3809_SE_Iberia_c.10-16CE
18.41013036
ASH067_Iron_Age1
18.57208389
LateRomanIberiaGranada_I3581
18.67874996
I3582_SE_Iberia_c.5-8CE
18.67918628
SZ35
18.70885619
I6491_NE_Iberia_RomP
18.80224189
R55_Medieval_Era_Villa_Magna
18.86455406
I12515_SE_Iberia_c.10-16CE
18.86455406
SpaniardCordobaCaliphate_I12515
18.88968766
HispanoRomanTaifaofValencia_I12644
18.89246675
I9131_Bronze_Age_Minoan_Moni_Odigitria_Heraklion_C rete
18.91112900
I8146_SE_Iberia_c.10-16CE
18.94445565
I4332_Balkans_BronzeAge
19.22978939
SZ28
19.23503834
I4331_Balkans_BronzeAge
19.24926232
HispanoRomanMaghrebiCordobaCaliphate_I7497
19.25356850
R43_Imperial_Era_Isola_Sacra_Necropolis
19.32237563
I3579_SE_Iberia_c.5-8CE
19.36787288
R128_Imperial_Era_Casale_del_Dolce
19.50048205
I7800_Sicily_EBA_Contrada_Paolina_Castellucciana
19.53551126
I3125_Sicily_MBA_Buffa_Cave_II
19.55444962
I2430_Balkans_Chalcolithic
19.60122955
IberianCordobaCaliphate_I7498
19.65921667
I1632_AR1/46_Middle_Late_Chalcolithic_Vayots-Dzor_Armenia
19.79989646
I7807_Sicily_EBA_Contrada_Paolina_Castellucciana
19.88351076
CL31
19.93611045
CarthagoMaghrebiAndalusia_I7457
19.98692823
I2683_Bronze_Age_Anatolian_Harmanӧren-GӧndürleHӧyük_Isparta
19.99103549
I2431_Balkans_Chalcolithic
20.02307669
I11442_Sicily_EBA_Buffa_Cave_II
20.05352338
R70_Imperial_Era_ANAS
20.11438789
I3878_Sicily_LBA_Marcita
20.19769789
I4383_Sicily_EBA_lowcov_Vallone_Inferno
20.23002224
scy311_Scythian
20.29788659
I10373_Sicily_LBA_Marcita
20.37579692
I3578_SE_Iberia_c.5-8CE
20.38342219
France_IA_ERS88
20.67843563
I4109_Sicily_MBA_Buffa_Cave_II
20.69572178
I12223_Sardinia_LateAntiquity_Grotta_Colombi
20.69839849
I0706_Balkans_Neolithic
20.72008205
R474_Iron_Age_Civitavecchia
20.72742628
I3123_Sicily_EBA_Buffa_Cave_II
20.77792097
I4089_Balkans_Chalcolithic
20.83430824
I7796_Sicily_EBA_Contrada_Paolina_Castellucciana
20.87168656
ANI152_Varna
20.92535065
I4930_Bronze_Age_Beaker_Sicily
20.94856558
I2520_Balkans_BronzeAge
20.95969227
I3709_Peloponnese_Neolithic
The calculator is now known as "Dodecad K12b Ancient West Eurasia" on Admixture studio:
https://i.imgur.com/wh8EbFi.png
Oracle Calculator by www.dnagenics.com
v1.5 07/02/2020
Finished reading population data. 952 populations found.
12 components mode.
--------------------------------
Mixed Mode:
1 94.14% R973_Medieval_Era_Tivoli_Palazzo_Cianti + 5.86% RISE154_Szczepankowice_Poland_3522_years @ 0.646
2 92.58% R973_Medieval_Era_Tivoli_Palazzo_Cianti + 7.42% I0058_BZH4_BenzigerodeHeimburg_LN_Benzingerode-Heimburg_Germany_2283-2146_calBCE @ 0.662
3 93.36% R973_Medieval_Era_Tivoli_Palazzo_Cianti + 6.64% I0114_ESP2_Unetice_EBA_relative_of_I0117_Espersted t_Germany_2131-1979_calBCE @ 0.673
4 94.14% R973_Medieval_Era_Tivoli_Palazzo_Cianti + 5.86% RISE562_Landau_an_der_Isar_Germany @ 0.699
5 94.14% R973_Medieval_Era_Tivoli_Palazzo_Cianti + 5.86% RISE150_Przeclawice_Poland_3469_years @ 0.711
6 94.14% R973_Medieval_Era_Tivoli_Palazzo_Cianti + 5.86% I0116_ESP4_Unetice_EBA_Esperstedt_Germany_2118-1961_calBCE @ 0.740
7 92.58% R973_Medieval_Era_Tivoli_Palazzo_Cianti + 7.42% SNPRA64_Switzerland_LN @ 0.740
8 94.14% R973_Medieval_Era_Tivoli_Palazzo_Cianti + 5.86% IronAgeHinxton2_Anglo-Saxon_ERS389796 @ 0.740
9 94.14% R973_Medieval_Era_Tivoli_Palazzo_Cianti + 5.86% MX195_Switzerland_LN @ 0.746
10 93.36% R973_Medieval_Era_Tivoli_Palazzo_Cianti + 6.64% IronAgeHinxton1_Celt_ERS389795 @ 0.751
Least-squares method.
Using 1 populations approximation
1 100% R973_Medieval_Era_Tivoli_Palazzo_Cianti @ 3.021
2 100% R835_Imperial_Era_Civitanova_Marche @ 3.285
3 100% R54_Medieval_Era_Villa_Magna @ 3.346
4 100% CrusaderKnightApuliaAbruzzoLebanonCrusaderSI53 @ 3.417
5 100% R121_Late_Antiquity_S_Ercolano_Necropolis_Ostia @ 3.430
6 100% R836_Imperial_Era_Civitanova_Marche @ 3.707
7 100% R970_Medieval_Era_Tivoli_Palazzo_Cianti @ 3.835
8 100% CL121 @ 3.856
9 100% R60_Medieval_Era_Villa_Magna @ 4.068
10 100% R969_Medieval_Era_Tivoli_Palazzo_Cianti @ 4.190
Using 2 populations approximation
1 50% CrusaderKnightApuliaAbruzzoLebanonCrusaderSI53 + 50% CL121 @ 1.219
2 50% R970_Medieval_Era_Tivoli_Palazzo_Cianti + 50% R1290_Medieval_Era_Villa_Magna @ 1.258
3 50% R78_Imperial_Era_Viale_Rossini_Necropolis + 50% R1221_Medieval_Era_Cancelleria @ 1.312
4 50% R54_Medieval_Era_Villa_Magna + 50% R970_Medieval_Era_Tivoli_Palazzo_Cianti @ 1.325
5 50% R836_Imperial_Era_Civitanova_Marche + 50% R970_Medieval_Era_Tivoli_Palazzo_Cianti @ 1.373
6 50% R973_Medieval_Era_Tivoli_Palazzo_Cianti + 50% R970_Medieval_Era_Tivoli_Palazzo_Cianti @ 1.434
7 50% R970_Medieval_Era_Tivoli_Palazzo_Cianti + 50% R49_Imperial_Era_Centocelle_Necropolis @ 1.442
8 50% I6491_NE_Iberia_RomP + 50% R81_Imperial_Era_Viale_Rossini_Necropolis @ 1.449
9 50% I2176_Balkans_BronzeAge + 50% I1632_AR1/46_Middle_Late_Chalcolithic_Vayots-Dzor_Armenia @ 1.610
10 50% R970_Medieval_Era_Tivoli_Palazzo_Cianti + 50% R57_Medieval_Era_Villa_Magna @ 1.783
Using 3 populations approximation
1 33% R65_Medieval_Era_Villa_Magna + 33% R65_Medieval_Era_Villa_Magna + 33% I6491_NE_Iberia_RomP @ 0.991
2 33% R1548_Imperial_Era_Monterotondo + 33% R1548_Imperial_Era_Monterotondo + 33% CL94 @ 1.202
3 33% R850_Iron_Age_Ardea + 33% R850_Iron_Age_Ardea + 33% I12164_NE_Iberia_c.6CE_PL @ 1.264
4 33% CL30 + 33% CL30 + 33% RISE559_Augsburg_Germany @ 1.442
5 33% R125_Imperial_Era_Casale_del_Dolce + 33% R125_Imperial_Era_Casale_del_Dolce + 33% CL57 @ 1.466
6 33% R970_Medieval_Era_Tivoli_Palazzo_Cianti + 33% R970_Medieval_Era_Tivoli_Palazzo_Cianti + 33% R58_Medieval_Era_Villa_Magna @ 1.478
7 33% R973_Medieval_Era_Tivoli_Palazzo_Cianti + 33% R973_Medieval_Era_Tivoli_Palazzo_Cianti + 33% R970_Medieval_Era_Tivoli_Palazzo_Cianti @ 1.490
8 33% CrusaderKnightApuliaAbruzzoLebanonCrusaderSI53 + 33% CrusaderKnightApuliaAbruzzoLebanonCrusaderSI53 + 33% CL121 @ 1.505
9 33% R30_Late_Antiquity_Mausole_di_Augusto + 33% R30_Late_Antiquity_Mausole_di_Augusto + 33% SZ27 @ 1.511
10 33% R973_Medieval_Era_Tivoli_Palazzo_Cianti + 33% R973_Medieval_Era_Tivoli_Palazzo_Cianti + 33% R36_Late_Antiquity_Celio @ 1.518
Using 4 populations approximation
1 25% R125_Imperial_Era_Casale_del_Dolce + 25% R125_Imperial_Era_Casale_del_Dolce + 25% R125_Imperial_Era_Casale_del_Dolce + 25% MX258_Switzerland_LN @ 1.070
2 25% R39_Imperial_Era_Isola_Sacra_Necropolis + 25% R39_Imperial_Era_Isola_Sacra_Necropolis + 25% R39_Imperial_Era_Isola_Sacra_Necropolis + 25% RISE210_Angamollan_Sweden_3105_years @ 1.179
3 25% R137_Imperial_Era_Marcellino_&_Pietro + 25% R137_Imperial_Era_Marcellino_&_Pietro + 25% R137_Imperial_Era_Marcellino_&_Pietro + 25% AlemannicBavariaBIM_33 @ 1.203
4 25% R125_Imperial_Era_Casale_del_Dolce + 25% R125_Imperial_Era_Casale_del_Dolce + 25% R125_Imperial_Era_Casale_del_Dolce + 25% R106_Late_Antiquity_Crypta_Balbi @ 1.242
5 25% R1548_Imperial_Era_Monterotondo + 25% R1548_Imperial_Era_Monterotondo + 25% R1548_Imperial_Era_Monterotondo + 25% CeltiberianMixTribeNorthernSpain_I3238 @ 1.355
6 25% R125_Imperial_Era_Casale_del_Dolce + 25% R125_Imperial_Era_Casale_del_Dolce + 25% R125_Imperial_Era_Casale_del_Dolce + 25% R62_Medieval_Era_Villa_Magna @ 1.397
7 25% R65_Medieval_Era_Villa_Magna + 25% R65_Medieval_Era_Villa_Magna + 25% R65_Medieval_Era_Villa_Magna + 25% I6491_NE_Iberia_RomP @ 1.402
8 25% R436_Imperial_Era_Palestrina + 25% R436_Imperial_Era_Palestrina + 25% R436_Imperial_Era_Palestrina + 25% R105_Late_Antiquity_Crypta_Balbi @ 1.402
9 25% R53_Medieval_Era_Villa_Magna + 25% R53_Medieval_Era_Villa_Magna + 25% R53_Medieval_Era_Villa_Magna + 25% R1221_Medieval_Era_Cancelleria @ 1.405
10 25% R137_Imperial_Era_Marcellino_&_Pietro + 25% R137_Imperial_Era_Marcellino_&_Pietro + 25% R137_Imperial_Era_Marcellino_&_Pietro + 25% R1219_Medieval_Era_Cancelleria @ 1.411
The spread of steppe and Iranian-related ancestry in the islands of the western Mediterranean
https://www.nature.com/articles/s41559-020-1102-0
https://www.ebi.ac.uk/ena/data/search?query=The+spread+of+steppe+and+Iranian-related+ancestry+in+the+islands+of+the+western+Med iterranean
I10364_Sardinia_BA_Alghero,0.00,0.00,5.79,0.24,64. 33,6.94,0.00,0.00,6.47,0.00,16.22,0.00
I10365_Sardinia_BA_Seulo,0.00,0.00,5.71,0.30,56.42 ,7.55,1.01,0.00,9.16,0.00,19.85,0.00
I10366_Sardinia_IA_Usellus,0.94,0.42,6.15,1.52,38. 84,7.43,0.00,0.00,12.67,0.00,31.00,1.03
I10371_Sicily_LBA_Marcita,0.00,0.00,7.07,0.00,48.5 9,0.00,0.00,0.00,14.15,0.00,30.20,0.00
I10372_Sicily_LBA_Marcita,0.00,0.00,2.92,0.00,50.2 5,6.43,0.00,0.00,9.53,0.00,30.75,0.12
I10373_Sicily_LBA_Marcita,0.00,0.00,2.73,0.00,47.9 9,6.22,0.00,0.00,12.46,0.88,29.57,0.14
I10502_Sardinia_BA_Anulù_Seui,0.59,0.00,0.00,0.00 ,72.27,2.04,0.00,0.00,0.00,4.67,20.43,0.00
I10552_Sardinia_BA_Perdasdefogu,0.00,0.00,3.48,0.1 7,72.12,6.36,0.00,0.00,7.01,0.00,10.86,0.00
I10553_Sardinia_BA_Perdasdefogu,0.00,0.00,3.30,0.0 0,68.13,7.19,0.00,0.00,8.46,0.00,12.92,0.00
I10554_Sardinia_BA_Perdasdefogu,0.00,0.00,4.12,0.3 1,68.87,5.38,0.00,0.00,7.21,0.00,14.03,0.07
I11442_Sicily_EBA_Buffa_Cave_II,0.00,0.00,4.78,0.0 0,48.03,9.39,0.00,0.00,10.84,0.47,26.48,0.00
I11443_Sicily_EBA_Buffa_Cave_II,5.49,1.21,1.46,0.3 8,38.60,32.29,1.45,0.00,2.98,0.00,16.12,0.00
I12220_Sardinia_LateAntiquity_Grotta_Colombi,5.54, 0.00,7.01,0.00,30.98,6.58,0.00,1.79,14.89,0.00,33. 21,0.00
I12221_Sardinia_EarlyMedieval_Grotta_Colombi,10.18 ,0.00,4.46,0.00,37.70,19.25,0.00,0.00,10.22,0.00,1 7.70,0.49
I12223_Sardinia_LateAntiquity_Grotta_Colombi,5.67, 0.00,0.00,0.00,26.52,0.00,0.37,0.00,21.57,3.33,42. 54,0.00
I14675_Sardinia_Chalcolithic_Serra_Crabiles,0.00,0 .00,5.36,0.00,68.28,6.12,0.00,0.00,7.09,0.21,12.94 ,0.00
I14676_Sardinia_Chalcolithic_Serra_Crabiles,0.00,0 .24,3.54,0.00,66.24,8.99,0.00,0.17,7.19,0.00,13.63 ,0.00
I14677_Sardinia_Chalcolithic_Serra_Crabiles,0.00,0 .00,5.27,0.00,67.70,0.32,0.00,0.00,8.51,0.00,18.14 ,0.07
I14678_Sardinia_Chalcolithic_Serra_Crabiles,0.00,0 .00,5.42,0.00,65.33,3.69,0.00,0.00,10.05,0.10,15.4 2,0.00
I15939_Sardinia_BA_contam_Anghelu_Ruju,3.90,1.87,8 .93,0.00,58.18,4.83,0.00,0.00,5.92,0.00,15.72,0.64
I15940_Sardinia_Chalcolithic_Anghelu_Ruju,0.00,0.0 0,36.31,0.00,19.57,0.00,0.00,14.31,18.39,0.00,6.03 ,5.38
I15941_Sardinia_Chalcolithic_Anghelu_Ruju,0.00,0.0 0,4.21,0.00,70.81,4.26,0.00,0.00,5.21,0.04,15.38,0 .07
I15942_Sardinia_Chalcolithic_Anghelu_Ruju,0.00,0.0 0,2.99,0.00,68.81,2.54,0.00,0.00,6.79,0.29,18.46,0 .12
I15943_Sardinia_Neolithic_Anghelu_Ruju,0.00,0.00,4 .74,1.78,74.55,0.00,0.00,0.00,7.78,0.00,11.15,0.00
I15944_Sardinia_Neolithic_contam_Anghelu_Ruju,0.00 ,0.00,4.41,2.35,68.78,3.47,0.00,0.00,6.44,0.00,14. 56,0.00
I15945_Sardinia_Neolithic_Anghelu_Ruju,0.00,0.00,7 .16,0.00,67.26,3.63,0.00,0.00,6.47,0.00,14.89,0.59
I15946_Sardinia_Neolithic_Anghelu_Ruju,0.00,0.00,4 .06,0.00,68.31,4.12,0.00,0.00,10.81,0.62,12.07,0.0 0
I15946_Sardinia_Neolithic_contam_Anghelu_Ruju,0.00 ,0.00,1.48,2.63,58.73,2.73,0.00,0.63,6.27,0.00,27. 50,0.03
I16161_Sardinia_BA_Anghelu_Ruju,0.00,0.00,4.78,0.6 1,67.91,6.44,0.00,0.00,6.99,0.00,13.26,0.00
I16163_Sardinia_IA_Anghelu_Ruju,0.72,0.00,0.77,1.2 6,51.57,15.82,0.00,0.00,10.24,0.00,19.61,0.00
I16164_Sardinia_Chalcolithic_Sa_Ucca_de_su_Tintirr iolu,0.00,0.00,0.53,0.00,65.94,6.69,0.00,0.00,8.46 ,0.06,18.32,0.00
I16165_Sardinia_Chalcolithic_Sa_Ucca_de_su_Tintirr iolu,0.00,0.00,5.16,1.50,68.05,3.72,0.00,0.00,8.52 ,0.00,13.06,0.00
I16166_Sardinia_Chalcolithic_Sa_Ucca_de_su_Tintirr iolu,0.00,0.00,2.29,0.00,62.86,8.55,0.00,0.00,8.30 ,0.00,18.01,0.00
I16168_Sardinia_BA_Anghelu_Ruju,0.00,0.00,3.37,0.0 0,68.14,2.95,0.00,0.00,9.45,0.00,15.79,0.31
I16169_Sardinia_BA_Anghelu_Ruju,0.00,0.00,4.43,0.0 0,67.80,4.25,0.00,0.00,5.88,0.00,17.64,0.00
I16170_Sardinia_BA_Anghelu_Ruju,0.00,0.00,2.85,0.8 2,66.53,6.22,0.00,0.04,7.19,0.00,16.02,0.34
I16183_Sardinia_BA_Anghelu_Ruju,0.00,0.00,2.30,0.7 3,65.78,5.96,0.00,0.00,13.06,0.00,12.16,0.00
I3122_Sicily_EBA_Buffa_Cave_II,0.00,0.00,5.09,0.00 ,57.77,4.27,0.00,0.00,9.57,0.33,22.98,0.00
I3123_Sicily_EBA_Buffa_Cave_II,0.00,0.00,4.39,0.02 ,48.74,11.73,0.00,0.00,9.86,0.00,25.27,0.00
I3124_Sicily_EBA_Buffa_Cave_II,0.00,0.49,3.79,0.00 ,49.27,15.29,0.00,0.00,7.27,0.12,23.76,0.00
I3125_Sicily_MBA_Buffa_Cave_II,0.00,0.00,3.57,0.00 ,46.58,5.20,0.02,0.00,11.20,0.00,33.40,0.02
I3315_Menorca_LBA_Naveta_des_Tudons_Menorca_Spain, 3.14,0.00,3.07,0.00,54.78,26.97,0.00,0.00,2.43,0.7 4,8.56,0.30
I3642_Sardinia_BA_Alghero,0.00,0.00,5.36,0.00,68.7 6,4.57,0.00,0.00,8.72,0.00,12.59,0.00
I3741_Sardinia_BA_Perdasdefogu,0.00,0.00,3.53,0.25 ,67.43,5.84,0.00,0.00,6.25,0.00,16.61,0.09
I3743_Sardinia_BA_Seulo,0.00,0.00,4.75,0.00,67.34, 6.57,0.00,0.00,8.71,0.00,12.63,0.00
I3876_Sicily_LBA_Marcita,0.44,0.00,3.32,0.45,45.73 ,8.05,0.00,0.00,8.38,0.00,33.09,0.54
I3878_Sicily_LBA_Marcita,0.00,0.00,4.85,0.00,47.71 ,6.41,0.00,0.00,11.13,0.83,28.97,0.11
I4062_Sicily_MN_Stretto_Partanna,0.00,0.00,3.28,0. 00,53.85,2.15,0.00,0.00,12.51,0.00,28.21,0.00
I4063_Sicily_MN_Stretto_Partanna,0.00,0.00,3.71,0. 00,57.80,3.16,0.00,0.00,11.58,0.00,23.71,0.03
I4064_Sicily_MN_Stretto_Partanna,0.00,0.00,3.45,0. 00,55.87,1.16,0.00,0.06,13.36,0.00,26.02,0.07
I4065_Sicily_MN_Stretto_Partanna,0.00,0.00,4.61,0. 00,52.59,8.80,0.00,0.23,9.64,0.00,24.13,0.00
I4109_Sicily_MBA_Buffa_Cave_II,0.00,0.00,3.84,0.00 ,47.80,4.53,0.00,0.00,12.50,0.00,31.33,0.00
I4329_Mallorca_EBA_Cova_des_Moro_Mallorca_Spain,7. 94,0.00,0.00,0.00,53.12,23.11,1.24,1.69,0.00,1.52, 10.73,0.65
I4383_Sicily_EBA_lowcov_Vallone_Inferno,0.00,0.00, 7.22,0.00,23.35,7.04,0.00,0.00,28.59,0.68,33.11,0. 00
I4420_all_Formentera_MBA_Formentera_Spain,3.80,0.0 0,5.00,1.21,55.42,21.66,1.49,0.00,2.20,0.00,8.82,0 .41
I4936_n/a,6.77,0.00,1.24,0.00,58.39,0.00,0.00,3.46,0.00,0. 00,30.15,0.00
I7774_d_Sicily_EBA_Contrada_Paolina_Castellucciana ,0.00,0.00,0.68,0.17,54.27,4.45,0.00,0.00,14.42,0. 00,26.01,0.00
I7796_Sicily_EBA_Contrada_Paolina_Castellucciana,0 .00,2.20,1.13,0.00,40.25,3.45,0.00,0.00,8.82,0.00, 44.16,0.00
I7800_Sicily_EBA_Contrada_Paolina_Castellucciana,1 .14,0.00,4.99,2.71,43.75,15.60,0.00,0.00,13.10,0.0 0,18.70,0.00
I7805_Sicily_EBA_Contrada_Paolina_Castellucciana,0 .00,3.49,5.84,0.00,53.55,3.73,0.00,0.00,16.77,0.00 ,16.63,0.00
I7807_Sicily_EBA_Contrada_Paolina_Castellucciana,0 .00,0.00,3.85,0.00,47.37,9.30,0.00,0.00,14.36,0.00 ,25.12,0.00
I8561_Sicily_EBA_Isnello,0.58,0.25,2.77,0.00,50.01 ,21.56,1.15,0.00,6.79,0.37,16.50,0.00
thanks jovialis :good_job:
mine
Distance to:
adam
11.99859158
I12220_Sardinia_LateAntiquity_Grotta_Colombi
18.98957609
I10366_Sardinia_IA_Usellus
19.71100454
I4383_Sicily_EBA_lowcov_Vallone_Inferno
20.46318157
I12223_Sardinia_LateAntiquity_Grotta_Colombi
21.77672152
I12221_Sardinia_EarlyMedieval_Grotta_Colombi
25.03886579
I3876_Sicily_LBA_Marcita
25.04684611
I7796_Sicily_EBA_Contrada_Paolina_Castellucciana
26.27231813
I7800_Sicily_EBA_Contrada_Paolina_Castellucciana
26.43045781
I3125_Sicily_MBA_Buffa_Cave_II
27.21770380
I7807_Sicily_EBA_Contrada_Paolina_Castellucciana
27.40627848
I3878_Sicily_LBA_Marcita
27.47976528
I11442_Sicily_EBA_Buffa_Cave_II
27.58879301
I10373_Sicily_LBA_Marcita
27.74392186
I4109_Sicily_MBA_Buffa_Cave_II
28.17842969
I3123_Sicily_EBA_Buffa_Cave_II
29.37907929
I3124_Sicily_EBA_Buffa_Cave_II
29.59400615
I10372_Sicily_LBA_Marcita
30.58515163
I10371_Sicily_LBA_Marcita
30.95118091
I11443_Sicily_EBA_Buffa_Cave_II
32.38579936
I4065_Sicily_MN_Stretto_Partanna
32.55123807
I16163_Sardinia_IA_Anghelu_Ruju
33.77990823
I8561_Sicily_EBA_Isnello
34.28175608
I4062_Sicily_MN_Stretto_Partanna
34.48345690
I7774_d_Sicily_EBA_Contrada_Paolina_Castellucciana
36.79455259
I4064_Sicily_MN_Stretto_Partanna
www.dnagenics.com (http://www.dnagenics.com) - Dodecad K12b Ancient West Eurasia [source data provided by Eupedia Team] - My results:
https://i.imgur.com/NpzOLX7.png
nMonte Calculator by www.dnagenics.com (http://www.dnagenics.com)
v1.1 04/02/2020
Finished reading population data. 952 populations found.
12 components mode.
--------------------------------
Distance: 3,05
29,40% Roman-SoldierFN_2
26,80% GironaSantJuliadeRamis_I10892
18,20% EarlyMedievalIberiaGranada_I3981
12,80% I3574_SE_Iberia_c.5-8CE
07,00% I3810_SE_Iberia_c.10-16CE_Afr2
03,60% Bul8_Balkans_BronzeAge
01,20% RISE596_Velika_Gruda_Montenegro
01,00% I4329_Mallorca_EBA_Cova_des_Moro_Mallorca_Spain
https://i.imgur.com/fsTNFk1.png
https://i.imgur.com/1j9nHs9.png
Oracle Calculator by www.dnagenics.com (http://www.dnagenics.com)
v1.5 07/02/2020
Finished reading population data. 952 populations found.
12 components mode.
--------------------------------
Mixed Mode:
1 88,67% GironaSantJuliadeRamis_I10892 + 11,33% I3810_SE_Iberia_c.10-16CE_Afr2 @ 2,288
2 59,77% MoriscoConvertAndalusia_I7425 + 40,23% I8210_NE_Iberia_Greek_Empuries1 @ 2,989
3 54,30% MoriscoConvertAndalusia_I7425 + 45,70% Pre-RomanGirona_I3324 @ 3,079
4 62,11% MoriscoConvertAndalusia_I7425 + 37,89% I8341_NE_Iberia_Greek_Empuries1 @ 3,123
5 87,89% GironaSantJuliadeRamis_I10892 + 12,11% I7427_SE_Iberia_c.10-16CE_Afr @ 3,152
6 51,17% I8209_NE_Iberia_Greek_Empuries1 + 48,83% MoriscoConvertAndalusia_I7425 @ 3,323
7 51,17% VasconicTribe_I8209 + 48,83% MoriscoConvertAndalusia_I7425 @ 3,323
8 50,39% MoriscoConvertAndalusia_I7425 + 49,61% I8209_NE_Iberia_Greek_Empuries1 @ 3,344
9 50,39% MoriscoConvertAndalusia_I7425 + 49,61% VasconicTribe_I8209 @ 3,344
10 50,39% I8146_SE_Iberia_c.10-16CE + 49,61% Pre-RomanGirona_I3324 @ 3,359
Least-squares method.
Using 1 populations approximation
1 100% GironaSantJuliadeRamis_I10892 @ 6,297
2 100% GironaSantJuliadeRamis_I10895 @ 7,044
3 100% EarlyMedievalAndalusia_I3585 @ 7,109
4 100% I12516_SE_Iberia_c.10-16CE @ 7,449
5 100% I12514_SE_Iberia_c.10-16CE @ 7,658
6 100% EarlyMedievalIberiaGranada_I3981 @ 7,717
7 100% MedievalTaifaofValencia_I12649 @ 7,936
8 100% R63_Medieval_Era_Villa_Magna @ 7,985
9 100% GironaSantJuliadeRamis_I10852 @ 8,043
10 100% Roman-SoldierFN_2 @ 8,202
Using 2 populations approximation
1 50% MoriscoConvertAndalusia_I7425 + 50% Pre-RomanGirona_I3324 @ 3,321
2 50% VasconicTribe_I8209 + 50% MoriscoConvertAndalusia_I7425 @ 3,335
3 50% I8209_NE_Iberia_Greek_Empuries1 + 50% MoriscoConvertAndalusia_I7425 @ 3,335
4 50% I8146_SE_Iberia_c.10-16CE + 50% Pre-RomanGirona_I3324 @ 3,357
5 50% MoriscoConvertAndalusia_I7425 + 50% VisigothIberianGirona_I12034 @ 3,661
6 50% MoriscoConvertAndalusia_I7425 + 50% VasconesTribeVasconia_I3759 @ 3,704
7 50% I8146_SE_Iberia_c.10-16CE + 50% I8210_NE_Iberia_Greek_Empuries1 @ 3,822
8 50% VasconicTribe_I8209 + 50% I8146_SE_Iberia_c.10-16CE @ 3,863
9 50% I8209_NE_Iberia_Greek_Empuries1 + 50% I8146_SE_Iberia_c.10-16CE @ 3,863
10 50% I2478_Bronze_Age_Beaker_Northern_Italy + 50% MoriscoConvertAndalusia_I7425 @ 3,874
Using 3 populations approximation
1 33% MoriscoConvertAndalusia_I7425 + 33% MoriscoConvertAndalusia_I7425 + 33% I8341_NE_Iberia_Greek_Empuries1 @ 3,460
2 33% I3578_SE_Iberia_c.5-8CE + 33% I3578_SE_Iberia_c.5-8CE + 33% RISE61_Kyndelose_Denmark_4071_years @ 3,672
3 33% MoriscoConvertAndalusia_I7425 + 33% MoriscoConvertAndalusia_I7425 + 33% I8210_NE_Iberia_Greek_Empuries1 @ 3,673
4 33% CrusaderKnightTuscanLebanonCrusaderSI41 + 33% CrusaderKnightTuscanLebanonCrusaderSI41 + 33% Bul8_Balkans_BronzeAge @ 3,724
5 33% I3578_SE_Iberia_c.5-8CE + 33% I3578_SE_Iberia_c.5-8CE + 33% CL92 @ 3,744
6 33% CarthagoMaghrebiAndalusia_I7457 + 33% CarthagoMaghrebiAndalusia_I7457 + 33% I8210_NE_Iberia_Greek_Empuries1 @ 3,746
7 33% I3578_SE_Iberia_c.5-8CE + 33% I3578_SE_Iberia_c.5-8CE + 33% BronzeAgeOuterHebrides_I2655 @ 3,819
8 33% I3982_SE_Iberia_c.3-4CE + 33% I3982_SE_Iberia_c.3-4CE + 33% NorthAlpineBronzeAgeFrench_AITI_119 @ 3,841
9 33% I3578_SE_Iberia_c.5-8CE + 33% I3578_SE_Iberia_c.5-8CE + 33% IronAgeHinxton1_Celt_ERS389795 @ 3,857
10 33% MoriscoConvertAndalusia_I7425 + 33% MoriscoConvertAndalusia_I7425 + 33% I8202_NE_Iberia_RomP_Empuries1 @ 3,867
Using 4 populations approximation
1 25% EarlyMedievalIberiaGranada_I3981 + 25% EarlyMedievalIberiaGranada_I3981 + 25% EarlyMedievalIberiaGranada_I3981 + 25% I8206_NE_Iberia_Hel_Empuries1 @ 3,757
2 25% I3578_SE_Iberia_c.5-8CE + 25% I3578_SE_Iberia_c.5-8CE + 25% I3578_SE_Iberia_c.5-8CE + 25% JK2065_Levänluhta_B_Isokyrö_Finland_300–800_CE @ 3,843
3 25% EarlyMedievalIberiaGranada_I3981 + 25% EarlyMedievalIberiaGranada_I3981 + 25% EarlyMedievalIberiaGranada_I3981 + 25% MX257_Switzerland_LN @ 3,892
4 25% EarlyMedievalIberiaGranada_I3981 + 25% EarlyMedievalIberiaGranada_I3981 + 25% EarlyMedievalIberiaGranada_I3981 + 25% Bul8_Balkans_BronzeAge @ 3,903
5 25% I3578_SE_Iberia_c.5-8CE + 25% I3578_SE_Iberia_c.5-8CE + 25% I3578_SE_Iberia_c.5-8CE + 25% RISE98_L_Beddinge_56_Sweden_3736_years @ 3,926
6 25% I3578_SE_Iberia_c.5-8CE + 25% I3578_SE_Iberia_c.5-8CE + 25% I3578_SE_Iberia_c.5-8CE + 25% I0804_EUL57_Unetice_EBA_Eulau_Germany_2131-1982_calBCE @ 3,938
7 25% EarlyMedievalIberiaGranada_I3981 + 25% EarlyMedievalIberiaGranada_I3981 + 25% EarlyMedievalIberiaGranada_I3981 + 25% NorthAlpineSouthDutch_AITI_50 @ 3,949
8 25% I3578_SE_Iberia_c.5-8CE + 25% I3578_SE_Iberia_c.5-8CE + 25% I3578_SE_Iberia_c.5-8CE + 25% SZ2 @ 4,004
9 25% EarlyMedievalIberiaGranada_I3981 + 25% EarlyMedievalIberiaGranada_I3981 + 25% EarlyMedievalIberiaGranada_I3981 + 25% MX280_Switzerland_LN @ 4,009
10 25% EarlyMedievalIberiaGranada_I3981 + 25% EarlyMedievalIberiaGranada_I3981 + 25% EarlyMedievalIberiaGranada_I3981 + 25% CrusaderKnightCelto-GermanicLebanonCrusaderSI47 @ 4,028
Archetype0ne
04-05-20, 16:39
Here is mine:
https://i.imgur.com/4Ja4vot.png
Finished reading population data. 952 populations found.
12 components mode.
--------------------------------
Mixed Mode:
1 55.08% R71_Imperial_Era_ANAS + 44.92% RISE479_Erd_4_Hungary_~2000_years @ 1.730
2 76.17% I9041_Bronze_Age_Mycenaean_Galatas_Apatheia_Pelopo nnese + 23.83% I4112_Ukraine_Neolithic @ 1.759
3 62.89% MX265_Switzerland_LN + 37.11% R43_Imperial_Era_Isola_Sacra_Necropolis @ 1.908
4 63.67% MX265_Switzerland_LN + 36.33% R78_Imperial_Era_Viale_Rossini_Necropolis @ 1.989
5 62.11% MX265_Switzerland_LN + 37.89% I1584_Barcın_Höyük_Chalcolithic @ 2.022
6 57.42% MX265_Switzerland_LN + 42.58% R39_Imperial_Era_Isola_Sacra_Necropolis @ 2.035
7 62.89% R44_Imperial_Era_Isola_Sacra_Necropolis + 37.11% I1875_WHG @ 2.154
8 62.89% R44_Imperial_Era_Isola_Sacra_Necropolis + 37.11% I1875_WHG @ 2.154
9 62.11% MX265_Switzerland_LN + 37.89% R44_Imperial_Era_Isola_Sacra_Necropolis @ 2.211
10 53.52% MX265_Switzerland_LN + 46.48% R69_Imperial_Era_ANAS @ 2.213
Least-squares method.
Using 1 populations approximation
1 100% SZ37 @ 5.067
2 100% scy305_Scythian @ 6.705
3 100% SZ1 @ 7.004
4 100% SZ31 @ 7.346
5 100% SZ36 @ 7.923
6 100% R1_Iron_Age_Protovillanovan_Martinsicuro @ 8.178
7 100% SZ43 @ 8.912
8 100% I2165_Balkans_BronzeAge @ 9.417
9 100% R33_Late_Antiquity_Mausole_di_Augusto @ 9.490
10 100% CL36 @ 9.689
Using 2 populations approximation
1 50% MX265_Switzerland_LN + 50% R69_Imperial_Era_ANAS @ 2.636
2 50% R53_Medieval_Era_Villa_Magna + 50% MX265_Switzerland_LN @ 2.735
3 50% MX265_Switzerland_LN + 50% R125_Imperial_Era_Casale_del_Dolce @ 2.914
4 50% scy009_Scythian + 50% R44_Imperial_Era_Isola_Sacra_Necropolis @ 2.954
5 50% R850_Iron_Age_Ardea + 50% MX304_Switzerland_LN @ 2.975
6 50% MX265_Switzerland_LN + 50% R51_Imperial_Era_Centocelle_Necropolis @ 2.998
7 50% R57_Medieval_Era_Villa_Magna + 50% MX265_Switzerland_LN @ 3.217
8 50% R65_Medieval_Era_Villa_Magna + 50% MX265_Switzerland_LN @ 3.320
9 50% R58_Medieval_Era_Villa_Magna + 50% MX265_Switzerland_LN @ 3.369
10 50% MX265_Switzerland_LN + 50% R30_Late_Antiquity_Mausole_di_Augusto @ 3.372
Using 3 populations approximation
1 33% MX265_Switzerland_LN + 33% MX265_Switzerland_LN + 33% R71_Imperial_Era_ANAS @ 2.303
2 33% MX265_Switzerland_LN + 33% MX265_Switzerland_LN + 33% R78_Imperial_Era_Viale_Rossini_Necropolis @ 2.527
3 33% MX265_Switzerland_LN + 33% MX265_Switzerland_LN + 33% R43_Imperial_Era_Isola_Sacra_Necropolis @ 2.660
4 33% MX265_Switzerland_LN + 33% MX265_Switzerland_LN + 33% I2683_Bronze_Age_Anatolian_Harmanӧren-GӧndürleHӧyük_Isparta @ 2.669
5 33% RISE412_Noratus_Armenia_2885_years + 33% I0698_Balkans_Neolithic + 33% Continenza_Mesolithic_Italy @ 2.754
6 33% I0679_Krepost_Neolithic + 33% I0679_Krepost_Neolithic + 33% I2534_Romania_HG @ 2.784
7 33% RISE412_Noratus_Armenia_2885_years + 33% I0698_Balkans_Neolithic + 33% RISE207_Angamollan_Sweden_3130_years @ 2.795
8 33% I0679_Krepost_Neolithic + 33% I0679_Krepost_Neolithic + 33% I0015_Molta6_Motala_HG_Molata_Sweden_5898-5531_calBCE @ 2.797
9 33% BR2_Hungary_1180BC + 33% BR2_Hungary_1180BC + 33% R71_Imperial_Era_ANAS @ 2.803
10 33% I0679_Krepost_Neolithic + 33% I0679_Krepost_Neolithic + 33% I4437_Latvia_MN @ 2.907
Using 4 populations approximation
1 25% I0073_Bronze_Age_Minoan_Hagios_Charalambos_Cave_La sithi_Crete + 25% I0073_Bronze_Age_Minoan_Hagios_Charalambos_Cave_La sithi_Crete + 25% IronAgeHinxton1_Celt_ERS389795 + 25% RISE145_Polwica_Poland_3677_years @ 2.379
2 25% SZ37 + 25% SZ37 + 25% SZ37 + 25% SZ20 @ 2.631
3 25% I2165_Balkans_BronzeAge + 25% I2165_Balkans_BronzeAge + 25% I2165_Balkans_BronzeAge + 25% R78_Imperial_Era_Viale_Rossini_Necropolis @ 2.775
4 25% I2165_Balkans_BronzeAge + 25% I2165_Balkans_BronzeAge + 25% I2165_Balkans_BronzeAge + 25% R39_Imperial_Era_Isola_Sacra_Necropolis @ 2.836
5 25% I2165_Balkans_BronzeAge + 25% I2165_Balkans_BronzeAge + 25% I2165_Balkans_BronzeAge + 25% R850_Iron_Age_Ardea @ 2.893
6 25% I2165_Balkans_BronzeAge + 25% I2165_Balkans_BronzeAge + 25% I2165_Balkans_BronzeAge + 25% R44_Imperial_Era_Isola_Sacra_Necropolis @ 2.928
7 25% I2165_Balkans_BronzeAge + 25% I2165_Balkans_BronzeAge + 25% I2165_Balkans_BronzeAge + 25% R128_Imperial_Era_Casale_del_Dolce @ 2.930
8 25% I2165_Balkans_BronzeAge + 25% I2165_Balkans_BronzeAge + 25% I2165_Balkans_BronzeAge + 25% R34_Late_Antiquity_Mausole_di_Augusto @ 2.934
9 25% I2165_Balkans_BronzeAge + 25% I2165_Balkans_BronzeAge + 25% I2165_Balkans_BronzeAge + 25% R41_Imperial_Era_Isola_Sacra_Necropolis @ 2.994
10 25% R61_Medieval_Era_Villa_Magna + 25% R61_Medieval_Era_Villa_Magna + 25% R61_Medieval_Era_Villa_Magna + 25% RISE412_Noratus_Armenia_2885_years @ 3.011
https://i.imgur.com/aIBQhEj.png
https://i.imgur.com/98Okn7K.png
https://i.imgur.com/shJX7OY.png
https://i.imgur.com/Aq9GwAr.png
Anyone able to interpret my results is welcome to do so. Would earn my apreciation.
Does anyone happen to know where the samples SZ1, SZ31, SZ36, SZ37 come from? ... The calculator puts me close to SZ37, but on the PCA I almost overlap with SZ1.
Very interesting and worthwhile calculator... Well done Eupedia.
Here is mine:
https://i.imgur.com/4Ja4vot.png
Finished reading population data. 952 populations found.
12 components mode.
--------------------------------
Mixed Mode:
1 55.08% R71_Imperial_Era_ANAS + 44.92% RISE479_Erd_4_Hungary_~2000_years @ 1.730
2 76.17% I9041_Bronze_Age_Mycenaean_Galatas_Apatheia_Pelopo nnese + 23.83% I4112_Ukraine_Neolithic @ 1.759
3 62.89% MX265_Switzerland_LN + 37.11% R43_Imperial_Era_Isola_Sacra_Necropolis @ 1.908
4 63.67% MX265_Switzerland_LN + 36.33% R78_Imperial_Era_Viale_Rossini_Necropolis @ 1.989
5 62.11% MX265_Switzerland_LN + 37.89% I1584_Barcın_Höyük_Chalcolithic @ 2.022
6 57.42% MX265_Switzerland_LN + 42.58% R39_Imperial_Era_Isola_Sacra_Necropolis @ 2.035
7 62.89% R44_Imperial_Era_Isola_Sacra_Necropolis + 37.11% I1875_WHG @ 2.154
8 62.89% R44_Imperial_Era_Isola_Sacra_Necropolis + 37.11% I1875_WHG @ 2.154
9 62.11% MX265_Switzerland_LN + 37.89% R44_Imperial_Era_Isola_Sacra_Necropolis @ 2.211
10 53.52% MX265_Switzerland_LN + 46.48% R69_Imperial_Era_ANAS @ 2.213
Least-squares method.
Using 1 populations approximation
1 100% SZ37 @ 5.067
2 100% scy305_Scythian @ 6.705
3 100% SZ1 @ 7.004
4 100% SZ31 @ 7.346
5 100% SZ36 @ 7.923
6 100% R1_Iron_Age_Protovillanovan_Martinsicuro @ 8.178
7 100% SZ43 @ 8.912
8 100% I2165_Balkans_BronzeAge @ 9.417
9 100% R33_Late_Antiquity_Mausole_di_Augusto @ 9.490
10 100% CL36 @ 9.689
Using 2 populations approximation
1 50% MX265_Switzerland_LN + 50% R69_Imperial_Era_ANAS @ 2.636
2 50% R53_Medieval_Era_Villa_Magna + 50% MX265_Switzerland_LN @ 2.735
3 50% MX265_Switzerland_LN + 50% R125_Imperial_Era_Casale_del_Dolce @ 2.914
4 50% scy009_Scythian + 50% R44_Imperial_Era_Isola_Sacra_Necropolis @ 2.954
5 50% R850_Iron_Age_Ardea + 50% MX304_Switzerland_LN @ 2.975
6 50% MX265_Switzerland_LN + 50% R51_Imperial_Era_Centocelle_Necropolis @ 2.998
7 50% R57_Medieval_Era_Villa_Magna + 50% MX265_Switzerland_LN @ 3.217
8 50% R65_Medieval_Era_Villa_Magna + 50% MX265_Switzerland_LN @ 3.320
9 50% R58_Medieval_Era_Villa_Magna + 50% MX265_Switzerland_LN @ 3.369
10 50% MX265_Switzerland_LN + 50% R30_Late_Antiquity_Mausole_di_Augusto @ 3.372
Using 3 populations approximation
1 33% MX265_Switzerland_LN + 33% MX265_Switzerland_LN + 33% R71_Imperial_Era_ANAS @ 2.303
2 33% MX265_Switzerland_LN + 33% MX265_Switzerland_LN + 33% R78_Imperial_Era_Viale_Rossini_Necropolis @ 2.527
3 33% MX265_Switzerland_LN + 33% MX265_Switzerland_LN + 33% R43_Imperial_Era_Isola_Sacra_Necropolis @ 2.660
4 33% MX265_Switzerland_LN + 33% MX265_Switzerland_LN + 33% I2683_Bronze_Age_Anatolian_Harmanӧren-GӧndürleHӧyük_Isparta @ 2.669
5 33% RISE412_Noratus_Armenia_2885_years + 33% I0698_Balkans_Neolithic + 33% Continenza_Mesolithic_Italy @ 2.754
6 33% I0679_Krepost_Neolithic + 33% I0679_Krepost_Neolithic + 33% I2534_Romania_HG @ 2.784
7 33% RISE412_Noratus_Armenia_2885_years + 33% I0698_Balkans_Neolithic + 33% RISE207_Angamollan_Sweden_3130_years @ 2.795
8 33% I0679_Krepost_Neolithic + 33% I0679_Krepost_Neolithic + 33% I0015_Molta6_Motala_HG_Molata_Sweden_5898-5531_calBCE @ 2.797
9 33% BR2_Hungary_1180BC + 33% BR2_Hungary_1180BC + 33% R71_Imperial_Era_ANAS @ 2.803
10 33% I0679_Krepost_Neolithic + 33% I0679_Krepost_Neolithic + 33% I4437_Latvia_MN @ 2.907
Using 4 populations approximation
1 25% I0073_Bronze_Age_Minoan_Hagios_Charalambos_Cave_La sithi_Crete + 25% I0073_Bronze_Age_Minoan_Hagios_Charalambos_Cave_La sithi_Crete + 25% IronAgeHinxton1_Celt_ERS389795 + 25% RISE145_Polwica_Poland_3677_years @ 2.379
2 25% SZ37 + 25% SZ37 + 25% SZ37 + 25% SZ20 @ 2.631
3 25% I2165_Balkans_BronzeAge + 25% I2165_Balkans_BronzeAge + 25% I2165_Balkans_BronzeAge + 25% R78_Imperial_Era_Viale_Rossini_Necropolis @ 2.775
4 25% I2165_Balkans_BronzeAge + 25% I2165_Balkans_BronzeAge + 25% I2165_Balkans_BronzeAge + 25% R39_Imperial_Era_Isola_Sacra_Necropolis @ 2.836
5 25% I2165_Balkans_BronzeAge + 25% I2165_Balkans_BronzeAge + 25% I2165_Balkans_BronzeAge + 25% R850_Iron_Age_Ardea @ 2.893
6 25% I2165_Balkans_BronzeAge + 25% I2165_Balkans_BronzeAge + 25% I2165_Balkans_BronzeAge + 25% R44_Imperial_Era_Isola_Sacra_Necropolis @ 2.928
7 25% I2165_Balkans_BronzeAge + 25% I2165_Balkans_BronzeAge + 25% I2165_Balkans_BronzeAge + 25% R128_Imperial_Era_Casale_del_Dolce @ 2.930
8 25% I2165_Balkans_BronzeAge + 25% I2165_Balkans_BronzeAge + 25% I2165_Balkans_BronzeAge + 25% R34_Late_Antiquity_Mausole_di_Augusto @ 2.934
9 25% I2165_Balkans_BronzeAge + 25% I2165_Balkans_BronzeAge + 25% I2165_Balkans_BronzeAge + 25% R41_Imperial_Era_Isola_Sacra_Necropolis @ 2.994
10 25% R61_Medieval_Era_Villa_Magna + 25% R61_Medieval_Era_Villa_Magna + 25% R61_Medieval_Era_Villa_Magna + 25% RISE412_Noratus_Armenia_2885_years @ 3.011
https://i.imgur.com/aIBQhEj.png
https://i.imgur.com/98Okn7K.png
https://i.imgur.com/shJX7OY.png
https://i.imgur.com/Aq9GwAr.png
Anyone able to interpret my results is welcome to do so. Would earn my apreciation.
Does anyone happen to know where the samples SZ1, SZ31, SZ36, SZ37 come from? ... The calculator puts me close to SZ37, but on the PCA I almost overlap with SZ1.
Very interesting and worthwhile calculator... Well done Eupedia.
@Archetype0ne
https://i.imgur.com/aVdGMBT.png
Archetype0ne
04-05-20, 16:58
Thank you Duarte. Your contribution is always forthcoming and welcome :).
Thank you Duarte. Your contribution is always forthcoming and welcome :).
Thanks :good_job::smile:
@Archetype,
Except for SZ1, those are all local Pannonians (today's Hungary) who were buried in the same cemetery as invading Langobards, and oppressed by them. That was an area which held on to its "Romanized" identity for much longer than other areas in Central Europe, still speaking a Romance language. Whether some of these people had fled there from other parts of the "Roman" world, or that was the composition still when the Langobards arrived during the invasions is unknown. Oh, later the Byzantines recaptured it.
Unfortunately, for clarity's sake, the authors used only the 1000 genomes modern samples for comparison, so the only "Southern European" element they had was the Tuscans, TSI, from what I remember, so a bit north of Florence, supposedly.
SZ1 is actually a Bronze Age sample.
This is how they plot: you can see why SZ37 makes sense for you.
https://i.imgur.com/Kx2fi4Z.pngApologies if these were things you already knew.
Archetype0ne
04-05-20, 17:40
@Archetype,
Except for SZ1, those are all local Pannonians (today's Hungary) who were buried in the same cemetery as invading Langobards, and oppressed by them. That was an area which held on to its "Romanized" identity for much longer than other areas in Central Europe, still speaking a Romance language. Whether some of these people had fled there from other parts of the "Roman" world, or that was the composition still when the Langobards arrived during the invasions is unknown. Oh, later the Byzantines recaptured it.
Unfortunately, for clarity's sake, the authors used only the 1000 genomes modern samples for comparison, so the only "Southern European" element they had was the Tuscans, TSI, from what I remember, so a bit north of Florence, supposedly.
SZ1 is actually a Bronze Age sample.
This is how they plot: you can see why SZ37 makes sense for you.
https://i.imgur.com/Kx2fi4Z.pngApologies if these were things you already knew.
Very informative analysis Angela, thank you. Yes it does make a lot of sense, along with my affinity with SZ31, SZ36 and SZ37. Also SZ1 and SZ37 overlap in that PCA as well which now makes more sense. Since the calculator puts me closer to SZ37, yet on the PCA I overlap with SZ1.
I wonder if my results would change drastically with the inclusion of more Southern European samples in this calculator, since my pie chart makes me look more Atlantic and North European due to it missing a Southern Europe reference.
https://i.imgur.com/Aq9GwAr.png
https://i.imgur.com/4Ja4vot.png
Do you happen to know what the legend for this image means?
https://i.imgur.com/aVdGMBT.png
TSI, IBS, CEU +GBR? That seems the composition of the samples I am closest too. On FTDNA map I am a 90% South European with a 10% GB.
Very informative analysis Angela, thank you. Yes it does make a lot of sense, along with my affinity with SZ31, SZ36 and SZ37. Also SZ1 and SZ37 overlap in that PCA as well which now makes more sense. Since the calculator puts me closer to SZ37, yet on the PCA I overlap with SZ1.
I wonder if my results would change drastically with the inclusion of more Southern European samples in this calculator, since my pie chart makes me look more Atlantic and North European due to it missing a Southern Europe reference.
https://i.imgur.com/Aq9GwAr.png
https://i.imgur.com/4Ja4vot.png
Do you happen to know what the legend for this image means?
https://i.imgur.com/aVdGMBT.png
TSI, IBS, CEU +GBR? That seems the composition of the samples I am closest too. On FTDNA map I am a 90% South European with a 10% GB.
You can see what the colors stand for to the right of the Collegno samples (Langobard cemetery in Piemonte, Northern Italy).
That's what's wrong with a lot of calculators: not enough Southern European samples, and for some calculators, too many Eastern European samples. That's why I was so eager for so long to have a calculator for ancient samples using Dodecad. He always was interested in capturing Southern European variation.
Very informative analysis Angela, thank you. Yes it does make a lot of sense, along with my affinity with SZ31, SZ36 and SZ37. Also SZ1 and SZ37 overlap in that PCA as well which now makes more sense. Since the calculator puts me closer to SZ37, yet on the PCA I overlap with SZ1.
I wonder if my results would change drastically with the inclusion of more Southern European samples in this calculator, since my pie chart makes me look more Atlantic and North European due to it missing a Southern Europe reference.
https://i.imgur.com/Aq9GwAr.png
https://i.imgur.com/4Ja4vot.png
Do you happen to know what the legend for this image means?
https://i.imgur.com/aVdGMBT.png
TSI, IBS, CEU +GBR? That seems the composition of the samples I am closest too. On FTDNA map I am a 90% South European with a 10% GB.
Answer**:
There are 26 different populations which are part of our study from many different locations around the globe. The following table lists these populations and indicates what data we currently have available for them.
Population Code
Population Description
Super Population Code
Sequence Data Available
Alignment Data Available
Variant Data Available
CHB
Han Chinese in Beijing, China
EAS
1
1
1
JPT
Japanese in Tokyo, Japan
EAS
1
1
1
CHS
Southern Han Chinese
EAS
1
1
1
CDX
Chinese Dai in Xishuangbanna, China
EAS
1
1
1
KHV
Kinh in Ho Chi Minh City, Vietnam
EAS
1
1
1
CEU
Utah Residents (CEPH) with Northern and Western European Ancestry
EUR
1
1
1
TSI
Toscani in Italia
EUR
1
1
1
FIN
Finnish in Finland
EUR
1
1
1
GBR
British in England and Scotland
EUR
1
1
1
IBS
Iberian Population in Spain
EUR
1
1
1
YRI
Yoruba in Ibadan, Nigeria
AFR
1
1
1
LWK
Luhya in Webuye, Kenya
AFR
1
1
1
GWD
Gambian in Western Divisions in the Gambia
AFR
1
1
1
MSL
Mende in Sierra Leone
AFR
1
1
1
ESN
Esan in Nigeria
AFR
1
1
1
ASW
Americans of African Ancestry in SW USA
AFR
1
1
1
ACB
African Caribbeans in Barbados
AFR
1
1
1
MXL
Mexican Ancestry from Los Angeles USA
AMR
1
1
1
PUR
Puerto Ricans from Puerto Rico
AMR
1
1
1
CLM
Colombians from Medellin, Colombia
AMR
1
1
1
PEL
Peruvians from Lima, Peru
AMR
1
1
1
GIH
Gujarati Indian from Houston, Texas
SAS
1
1
1
PJL
Punjabi from Lahore, Pakistan
SAS
1
1
1
BEB
Bengali from Bangladesh
SAS
1
1
1
STU
Sri Lankan Tamil from the UK
SAS
1
1
1
ITU
Indian Telugu from the UK
SAS
1
1
1
These populations have been divided into 5 super populations
AFR, African
AMR, Ad Mixed American
EAS, East Asian
EUR, European
SAS, South Asian
When the code ALL is used this means that all individuals from that release are being considered.
**PS: These populations’ code was obtained from another study. It’s just to you know the populations codes adopted in 1000 genomes.
https://www.internationalgenome.org/category/population/
I don't remember doing dna genics, but on the Dodecad K12, I'm at a distance of 6 and 7 to Szoland and Collegno 36. That's decent for such ancient samples. I ignore Armenoi Crete because Lazaridis says it wasn't an optimal sample. I just wish we had a lot of Bronze Age samples from northern Italy and Toscana.
Distance to:
Angela
5.96067110
I9123_Bronze_Age_Armenoi_Crete
5.96285167
I8475_NE_Iberia_RomP_atypical
6.06036303
I3313_Balkans_BronzeAge
6.16793320
R1285_Medieval_Era_Cancelleria
6.20598904
R1287_Medieval_Era_Cancelleria
6.36315173
Szolad43
6.86379633
I3499_NWBalkans_PannonianPlain_Vucedol_EN
6.88215809
R111_Imperial_Era_Via_Paisiello_Necropolis
6.99657773
I2176_Balkans_BronzeAge
7.16551464
I1979_Bronze_Age_Beaker_Northern_Italy
7.41494437
I2175_Balkans_BronzeAge
7.68900514
Collegno36
8.27433985
scy197_Scythian
8.38781259
Szolad28
8.75370207
Bul6_Balkans_BronzeAge
8.83698478
scy192_Scythian
8.85352472
Bul10_Balkans_BronzeAge
8.99296392
Szolad31
9.00708055
Collegno23
9.01179227
R1283_Medieval_Era_Cancelleria
9.10498215
R1016_Iron_Age_Castel_di_Decima
9.23041169
I4331_Balkans_BronzeAge
9.25520934
R120_Late_Antiquity_S_Ercolano_Necropolis_Ostia
9.40529638
R36_Late_Antiquity_Celio
9.43736722
R33_Late_Antiquity_Mausole_di_Augusto
I'm much closer on mytrueancestry, but I trust them less.
1. Central Roman (590 AD) ..... 3.568 - SZ43 -
Top
99 % match vs all users
2. Central Roman (630 AD) ..... 4.975 - CL36 - ?
Top
99 % match vs all users
Answer**:
There are 26 different populations which are part of our study from many different locations around the globe. The following table lists these populations and indicates what data we currently have available for them.
Population Code
Population Description
Super Population Code
Sequence Data Available
Alignment Data Available
Variant Data Available
CHB
Han Chinese in Beijing, China
EAS
1
1
1
JPT
Japanese in Tokyo, Japan
EAS
1
1
1
CHS
Southern Han Chinese
EAS
1
1
1
CDX
Chinese Dai in Xishuangbanna, China
EAS
1
1
1
KHV
Kinh in Ho Chi Minh City, Vietnam
EAS
1
1
1
CEU
Utah Residents (CEPH) with Northern and Western European Ancestry
EUR
1
1
1
TSI
Toscani in Italia
EUR
1
1
1
FIN
Finnish in Finland
EUR
1
1
1
GBR
British in England and Scotland
EUR
1
1
1
IBS
Iberian Population in Spain
EUR
1
1
1
YRI
Yoruba in Ibadan, Nigeria
AFR
1
1
1
LWK
Luhya in Webuye, Kenya
AFR
1
1
1
GWD
Gambian in Western Divisions in the Gambia
AFR
1
1
1
MSL
Mende in Sierra Leone
AFR
1
1
1
ESN
Esan in Nigeria
AFR
1
1
1
ASW
Americans of African Ancestry in SW USA
AFR
1
1
1
ACB
African Caribbeans in Barbados
AFR
1
1
1
MXL
Mexican Ancestry from Los Angeles USA
AMR
1
1
1
PUR
Puerto Ricans from Puerto Rico
AMR
1
1
1
CLM
Colombians from Medellin, Colombia
AMR
1
1
1
PEL
Peruvians from Lima, Peru
AMR
1
1
1
GIH
Gujarati Indian from Houston, Texas
SAS
1
1
1
PJL
Punjabi from Lahore, Pakistan
SAS
1
1
1
BEB
Bengali from Bangladesh
SAS
1
1
1
STU
Sri Lankan Tamil from the UK
SAS
1
1
1
ITU
Indian Telugu from the UK
SAS
1
1
1
These populations have been divided into 5 super populations
AFR, African
AMR, Ad Mixed American
EAS, East Asian
EUR, European
SAS, South Asian
When the code ALL is used this means that all individuals from that release are being considered.
**PS: These populations’ code was obtained from another study. It’s just to you know the populations codes adopted in 1000 genomes.
https://www.internationalgenome.org/category/population/
you will notice that in the lombard samples, to get german and swedish mix they have combined CEU+GBR ( the blue bars ) ............they do a lot of combinations to get results in other papers , other I know is to get balkan lands they combine TSI+IBS ..................there is no marker in-between TSI ( tuscany ) and India
other one I have seen to get alpine europe they combine CEU+TSI
www.dnagenics.com (http://www.dnagenics.com) - Dodecad K12b Ancient West Eurasia [source data provided by Eupedia Team] - My results:
https://i.imgur.com/NpzOLX7.png
nMonte Calculator by www.dnagenics.com (http://www.dnagenics.com)
v1.1 04/02/2020
Finished reading population data. 952 populations found.
12 components mode.
--------------------------------
Distance: 3,05
29,40% Roman-SoldierFN_2
26,80% GironaSantJuliadeRamis_I10892
18,20% EarlyMedievalIberiaGranada_I3981
12,80% I3574_SE_Iberia_c.5-8CE
07,00% I3810_SE_Iberia_c.10-16CE_Afr2
03,60% Bul8_Balkans_BronzeAge
01,20% RISE596_Velika_Gruda_Montenegro
01,00% I4329_Mallorca_EBA_Cova_des_Moro_Mallorca_Spain
https://i.imgur.com/fsTNFk1.png
https://i.imgur.com/1j9nHs9.png
Oracle Calculator by www.dnagenics.com (http://www.dnagenics.com)
v1.5 07/02/2020
Finished reading population data. 952 populations found.
12 components mode.
--------------------------------
Mixed Mode:
1 88,67% GironaSantJuliadeRamis_I10892 + 11,33% I3810_SE_Iberia_c.10-16CE_Afr2 @ 2,288
2 59,77% MoriscoConvertAndalusia_I7425 + 40,23% I8210_NE_Iberia_Greek_Empuries1 @ 2,989
3 54,30% MoriscoConvertAndalusia_I7425 + 45,70% Pre-RomanGirona_I3324 @ 3,079
4 62,11% MoriscoConvertAndalusia_I7425 + 37,89% I8341_NE_Iberia_Greek_Empuries1 @ 3,123
5 87,89% GironaSantJuliadeRamis_I10892 + 12,11% I7427_SE_Iberia_c.10-16CE_Afr @ 3,152
6 51,17% I8209_NE_Iberia_Greek_Empuries1 + 48,83% MoriscoConvertAndalusia_I7425 @ 3,323
7 51,17% VasconicTribe_I8209 + 48,83% MoriscoConvertAndalusia_I7425 @ 3,323
8 50,39% MoriscoConvertAndalusia_I7425 + 49,61% I8209_NE_Iberia_Greek_Empuries1 @ 3,344
9 50,39% MoriscoConvertAndalusia_I7425 + 49,61% VasconicTribe_I8209 @ 3,344
10 50,39% I8146_SE_Iberia_c.10-16CE + 49,61% Pre-RomanGirona_I3324 @ 3,359
Least-squares method.
Using 1 populations approximation
1 100% GironaSantJuliadeRamis_I10892 @ 6,297
2 100% GironaSantJuliadeRamis_I10895 @ 7,044
3 100% EarlyMedievalAndalusia_I3585 @ 7,109
4 100% I12516_SE_Iberia_c.10-16CE @ 7,449
5 100% I12514_SE_Iberia_c.10-16CE @ 7,658
6 100% EarlyMedievalIberiaGranada_I3981 @ 7,717
7 100% MedievalTaifaofValencia_I12649 @ 7,936
8 100% R63_Medieval_Era_Villa_Magna @ 7,985
9 100% GironaSantJuliadeRamis_I10852 @ 8,043
10 100% Roman-SoldierFN_2 @ 8,202
Using 2 populations approximation
1 50% MoriscoConvertAndalusia_I7425 + 50% Pre-RomanGirona_I3324 @ 3,321
2 50% VasconicTribe_I8209 + 50% MoriscoConvertAndalusia_I7425 @ 3,335
3 50% I8209_NE_Iberia_Greek_Empuries1 + 50% MoriscoConvertAndalusia_I7425 @ 3,335
4 50% I8146_SE_Iberia_c.10-16CE + 50% Pre-RomanGirona_I3324 @ 3,357
5 50% MoriscoConvertAndalusia_I7425 + 50% VisigothIberianGirona_I12034 @ 3,661
6 50% MoriscoConvertAndalusia_I7425 + 50% VasconesTribeVasconia_I3759 @ 3,704
7 50% I8146_SE_Iberia_c.10-16CE + 50% I8210_NE_Iberia_Greek_Empuries1 @ 3,822
8 50% VasconicTribe_I8209 + 50% I8146_SE_Iberia_c.10-16CE @ 3,863
9 50% I8209_NE_Iberia_Greek_Empuries1 + 50% I8146_SE_Iberia_c.10-16CE @ 3,863
10 50% I2478_Bronze_Age_Beaker_Northern_Italy + 50% MoriscoConvertAndalusia_I7425 @ 3,874
Using 3 populations approximation
1 33% MoriscoConvertAndalusia_I7425 + 33% MoriscoConvertAndalusia_I7425 + 33% I8341_NE_Iberia_Greek_Empuries1 @ 3,460
2 33% I3578_SE_Iberia_c.5-8CE + 33% I3578_SE_Iberia_c.5-8CE + 33% RISE61_Kyndelose_Denmark_4071_years @ 3,672
3 33% MoriscoConvertAndalusia_I7425 + 33% MoriscoConvertAndalusia_I7425 + 33% I8210_NE_Iberia_Greek_Empuries1 @ 3,673
4 33% CrusaderKnightTuscanLebanonCrusaderSI41 + 33% CrusaderKnightTuscanLebanonCrusaderSI41 + 33% Bul8_Balkans_BronzeAge @ 3,724
5 33% I3578_SE_Iberia_c.5-8CE + 33% I3578_SE_Iberia_c.5-8CE + 33% CL92 @ 3,744
6 33% CarthagoMaghrebiAndalusia_I7457 + 33% CarthagoMaghrebiAndalusia_I7457 + 33% I8210_NE_Iberia_Greek_Empuries1 @ 3,746
7 33% I3578_SE_Iberia_c.5-8CE + 33% I3578_SE_Iberia_c.5-8CE + 33% BronzeAgeOuterHebrides_I2655 @ 3,819
8 33% I3982_SE_Iberia_c.3-4CE + 33% I3982_SE_Iberia_c.3-4CE + 33% NorthAlpineBronzeAgeFrench_AITI_119 @ 3,841
9 33% I3578_SE_Iberia_c.5-8CE + 33% I3578_SE_Iberia_c.5-8CE + 33% IronAgeHinxton1_Celt_ERS389795 @ 3,857
10 33% MoriscoConvertAndalusia_I7425 + 33% MoriscoConvertAndalusia_I7425 + 33% I8202_NE_Iberia_RomP_Empuries1 @ 3,867
Using 4 populations approximation
1 25% EarlyMedievalIberiaGranada_I3981 + 25% EarlyMedievalIberiaGranada_I3981 + 25% EarlyMedievalIberiaGranada_I3981 + 25% I8206_NE_Iberia_Hel_Empuries1 @ 3,757
2 25% I3578_SE_Iberia_c.5-8CE + 25% I3578_SE_Iberia_c.5-8CE + 25% I3578_SE_Iberia_c.5-8CE + 25% JK2065_Levänluhta_B_Isokyrö_Finland_300–800_CE @ 3,843
3 25% EarlyMedievalIberiaGranada_I3981 + 25% EarlyMedievalIberiaGranada_I3981 + 25% EarlyMedievalIberiaGranada_I3981 + 25% MX257_Switzerland_LN @ 3,892
4 25% EarlyMedievalIberiaGranada_I3981 + 25% EarlyMedievalIberiaGranada_I3981 + 25% EarlyMedievalIberiaGranada_I3981 + 25% Bul8_Balkans_BronzeAge @ 3,903
5 25% I3578_SE_Iberia_c.5-8CE + 25% I3578_SE_Iberia_c.5-8CE + 25% I3578_SE_Iberia_c.5-8CE + 25% RISE98_L_Beddinge_56_Sweden_3736_years @ 3,926
6 25% I3578_SE_Iberia_c.5-8CE + 25% I3578_SE_Iberia_c.5-8CE + 25% I3578_SE_Iberia_c.5-8CE + 25% I0804_EUL57_Unetice_EBA_Eulau_Germany_2131-1982_calBCE @ 3,938
7 25% EarlyMedievalIberiaGranada_I3981 + 25% EarlyMedievalIberiaGranada_I3981 + 25% EarlyMedievalIberiaGranada_I3981 + 25% NorthAlpineSouthDutch_AITI_50 @ 3,949
8 25% I3578_SE_Iberia_c.5-8CE + 25% I3578_SE_Iberia_c.5-8CE + 25% I3578_SE_Iberia_c.5-8CE + 25% SZ2 @ 4,004
9 25% EarlyMedievalIberiaGranada_I3981 + 25% EarlyMedievalIberiaGranada_I3981 + 25% EarlyMedievalIberiaGranada_I3981 + 25% MX280_Switzerland_LN @ 4,009
10 25% EarlyMedievalIberiaGranada_I3981 + 25% EarlyMedievalIberiaGranada_I3981 + 25% EarlyMedievalIberiaGranada_I3981 + 25% CrusaderKnightCelto-GermanicLebanonCrusaderSI47 @ 4,028
Comparison Vahaduo Dodecad K12b Ancient X dnagenics Dodecad K12b Ancient West Eurasia. Same results (1 populations approximation), observing that the nMonte dnagenics calculator provides a distance of 3.05 against a distance of 1.22 calculated in Vahaduo Dodecad K12b Ancient, both displaying 8 populations in admixture, but with some changes in samples and percentages.
Distance to:
Duarte
6.29661020
GironaSantJuliadeRamis_I10892
7.04433105
GironaSantJuliadeRamis_I10895
7.10911387
EarlyMedievalAndalusia_I3585
7.44879185
I12516_SE_Iberia_c.10-16CE
7.65793053
I12514_SE_Iberia_c.10-16CE
7.71679338
EarlyMedievalIberiaGranada_I3981
7.93623966
MedievalTaifaofValencia_I12649
7.98459141
R63_Medieval_Era_Villa_Magna
8.04299695
GironaSantJuliadeRamis_I10852
8.20189003
Roman-SoldierFN_2
8.46322043
I3982_SE_Iberia_c.3-4CE
8.60645107
CrusaderKnightFrenchLebanonCrusaderSI40
9.03262420
I7675_NE_Iberia_c.6-8CE_ES
9.06797662
R110_Late_Antiquity_Crypta_Balbi
9.06809793
GironaSantJuliadeRamis_I10853
9.11247497
R1289_Medieval_Era_Cancelleria
9.35114966
I2215_Malak_Preslavets
9.61505590
CarthagoMaghrebiAndalusia_I7457
9.69586510
I7673_NE_Iberia_c.6-8CE_ES
9.70581269
I12515_SE_Iberia_c.10-16CE
9.70581269
SpaniardCordobaCaliphate_I12515
9.71447374
R474_Iron_Age_Civitavecchia
9.81952137
France_BA_NIED
9.91529626
I3584_SE_Iberia_c.5-8CE
10.15667268
I3809_SE_Iberia_c.10-16CE
https://i.imgur.com/n66bCNd.png
This is me. I'm somewhat new to these calculators and since I can see that many users here have a much firmer grasp of this subject, I would appreciate if someone explained what this exactly indicates (I mean besides the obvious that the top result is closest to me). What does the "SINGLE" tab in the calculator do? And why is it different each time you run it?
4.23374539
I2165_Balkans_BronzeAge
4.94559400
SZ27
5.62698854
CL49
6.11537407
CL57
6.54112376
I12031_NE_Iberia_c.6CE_PL
7.02089738
R55_Medieval_Era_Villa_Magna
7.12174136
CL47
7.22744768
SZ18
7.23921266
R1_Iron_Age_Protovillanovan_Martinsicuro
7.29747217
SZ45
7.65648745
R108_Late_Antiquity_Crypta_Balbi
7.77192383
R61_Medieval_Era_Villa_Magna
7.83012133
I3866_NE_Iberia_c.6-8CE_ES
7.93891050
I4332_Balkans_BronzeAge
8.14950305
R33_Late_Antiquity_Mausole_di_Augusto
8.32777281
I4331_Balkans_BronzeAge
8.92338501
CL63
9.07053471
R105_Late_Antiquity_Crypta_Balbi
9.09441037
SZ5
9.09947251
CL102
9.26008639
CL53
9.32374388
SZ6
9.48595804
I6491_NE_Iberia_RomP
9.61204453
I11443_Sicily_EBA_Buffa_Cave_II
9.74028234
SZ1
This is me. I'm somewhat new to these calculators and since I can see that many users here have a much firmer grasp of this subject, I would appreciate if someone explained what this exactly indicates (I mean besides the obvious that the top result is closest to me). What does the "SINGLE" tab in the calculator do? And why is it different each time you run it?
4.23374539
I2165_Balkans_BronzeAge
4.94559400
SZ27
5.62698854
CL49
6.11537407
CL57
6.54112376
I12031_NE_Iberia_c.6CE_PL
7.02089738
R55_Medieval_Era_Villa_Magna
7.12174136
CL47
7.22744768
SZ18
7.23921266
R1_Iron_Age_Protovillanovan_Martinsicuro
7.29747217
SZ45
7.65648745
R108_Late_Antiquity_Crypta_Balbi
7.77192383
R61_Medieval_Era_Villa_Magna
7.83012133
I3866_NE_Iberia_c.6-8CE_ES
7.93891050
I4332_Balkans_BronzeAge
8.14950305
R33_Late_Antiquity_Mausole_di_Augusto
8.32777281
I4331_Balkans_BronzeAge
8.92338501
CL63
9.07053471
R105_Late_Antiquity_Crypta_Balbi
9.09441037
SZ5
9.09947251
CL102
9.26008639
CL53
9.32374388
SZ6
9.48595804
I6491_NE_Iberia_RomP
9.61204453
I11443_Sicily_EBA_Buffa_Cave_II
9.74028234
SZ1
You can go upthread not too far and see that the Szolad and Collegno samples to which you're closest are not the northern European ones or the more Southern Italian ones.
Just eyeballing it, and if you were 100% of one ethnicity, I'd say Northern Italian, maybe Northeastern Italian or maybe far northern Greek?
To get a real idea of what it's telling you a little more precisely, I've found that the tedious process of finding out the closest modern population for each sample gives me the best idea.
So, for example, you first go to the Vahaduo Ancient spreadsheet for Dodecad K12b and look for each sample in the Sources tab and copy the coordinates for that sample.
http://vahaduo.genetics.ovh/dodecad-k12b-ANCIENT-vahaduo.htm
You then go to the Dodecad K12b updated, which has as its Sources modern populations, and you paste those coordinates in the Target tab.
http://vahaduo.genetics.ovh/dodecad-k12b-vahaduo.htm
I've done the first one for you:
Distance to:
I2165_Balkans_BronzeAge
4.71087041
Montenegrin
5.49335053
Macedonian
6.77047266
Serb
6.87094288
Italy_FriuliVG
7.54356680
R.Moldova_South
8.10062961
Pomak
9.14498223
Italy_Trentino
9.19683098
Albanian_North
9.27223584
Italy_Veneto
9.42636727
R.Moldova_Gagauz
9.68632025
Romanians
9.86257066
Gagauz
10.47836819
Albanian_Kosovo
10.53486592
R.Moldova_Centre+North
10.59325316
Swiss_Italian
10.71695386
Bosnian
10.93210273
Italy_Piedmont
10.97254301
Croat
11.01249291
Bulgarians
11.14902686
Bulgarian
11.80739203
Italy_Aosta_Valley
12.26466061
Turk_Romania
12.57357585
Italy_Lombardy
13.31387442
Italy_Liguria
13.52065457
Turk_Bulgaria
It's saying this sample is closest to Montenegrins, Macedonians, Serbs in general similarity, then to Northern Italians. That would generally make sense since Northern Italians aren't that far from northern Balkanites.
I don't know if that fits you in particular or not.
If you leave the Single tab on Default, it's going to jam in every sample no matter how small the percentage, to get you the "best" fit possible. Not only can that leave you with many source populations and a lot of confusion, but I think those are "overfit". I usually go with .25 or .50.
Thanks for that, Angela.
I suppose it makes some sense; my original top result on Dodecad K12b updated was always "Italy_FriuliVG", followed by Montenegrins, Macedonians, etc.
4.46963712
Italy_FriuliVG
5.93852675
Macedonian
5.95136119
Montenegrin
7.15351662
R.Moldova_South
7.29853400
Italy_Veneto
7.53074897
Italy_Trentino
8.35703895
Albanian_North
8.55065495
Serb
8.64901150
Pomak
8.73323995
Italy_Piedmont
8.98389670
R.Moldova_Gagauz
9.09536146
Albanian_Kosovo
9.13456417
Swiss_Italian
9.42106682
Gagauz
10.56306653
Italy_Aosta_Valley
10.59798743
Italy_Lombardy
10.81648279
Turk_Romania
11.04873748
Romanians
11.20598930
Italy_Liguria
11.35688932
Italy_Emilia
12.21582785
Italy_Tuscany
12.23865189
Bulgarian
12.36862967
Bulgarians
12.37991922
R.Moldova_Centre+North
12.58368785
Turk_Greece
And I've adjusted the Single tab to 0.25 on the Ancient calculator, and this is the result.
Target: shargan
Distance: 1.2970% / 1.29697198 | ADC: 0.25x
36.4 I2165_Balkans_BronzeAge
35.8 SZ27
14.8 scy300_Scythian
4.8 I12031_NE_Iberia_c.6CE_PL
3.6 SZ6
1.4 R1_Iron_Age_Protovillanovan_Martinsicuro
1.0 R33_Late_Antiquity_Mausole_di_Augusto
1.0 I4332_Balkans_BronzeAge
0.8 SZ20
0.4 scy305_Scythian
Think I did this right, my results.
Distance to:
DORQUEST
3.42559484
R31_Late_Antiquity_Mausole_di_Augusto
3.50228497
I8212_NE_Iberia_Greek_Empuries1_atypical
3.76968168
Szolad12
4.08591483
R1286_Medieval_Era_Cancelleria
4.19268410
I0111_ROT4_Bell_Beaker_LN_Rothenschirmbach_Germany _2497-2436_calBCE
4.31625996
Szolad24
4.40353267
Szolad38
4.42071261
Szolad23
4.42594623
SX23_Switzerland_LN
4.66560821
Szolad42
4.85206142
Szolad11
4.90222399
R1288_Medieval_Era_Cancelleria
4.97485678
MX280_Switzerland_LN
5.20840667
Szolad8
5.28750414
I0117_ESP29_Unetice_EBA_Esperstedt_Germany_2199-2064_calBCE
5.29326931
France_IA_ATT26
5.45367766
RISE436_Tiefbrunn_Germany_4124_years
5.60124093
RISE577_Velke_Prilepy_Czech_Republic_~2000_years
5.61733923
BellBeakerSouthernFrance_I3874
5.75362494
NorthAlpineSouthDutch_AITI_2
5.78140121
Szolad7
5.83695983
CrusaderKnightCelto-GermanicLebanonCrusaderSI39
6.01405853
Szolad30
6.11655132
France_IA_COL11
6.14072471
Szolad15
Distance to:
R31_Late_Antiquity_Mausole_di_Augusto
4.13853839
English_North
4.54630619
English_South
4.55587533
English_mixed
5.47582870
German
5.71541775
Icelandic
5.93676680
Mixed_NW_Euro
6.03682036
Dutch
6.70076115
Irish
6.70536352
Irish
7.14989510
Swedish
9.43259773
Bavarian_German
11.16286254
Slovenian
11.57419112
French2
12.15223436
French
12.37867521
Slovak
13.12018293
Hungarians
13.29268596
Sorb_Lusatia
14.82888061
PL_GreaterPoland
14.92278459
Croat
15.44470136
PL_Warmia-Masuria
15.90021069
HUN_Szekely
16.51893156
Bosnian
17.39524935
MD_North
17.60749556
Ukrainian
17.97332746
Serb
Target: DORQUEST
Distance: 0.4201% / 0.42011686 | ADC: 0.25x
54.0 I8212_NE_Iberia_Greek_Empuries1_atypical
30.6 Szolad23
6.2 Szolad3
4.6 Szolad12
3.2 Szolad8
1.4 RISE559_Augsburg_Germany
Ancient Swiss samples.
Distance to:
DORQUEST
4.42594623
SX23_Switzerland_LN
4.97485678
MX280_Switzerland_LN
7.05428239
MX279_Switzerland_LN
7.38958727
MX304_Switzerland_LN
8.01867820
MX288_Switzerland_LN
8.28762934
MX190_Switzerland_LN
8.52396621
MX259_Switzerland_LN
8.97245786
SNPRA64_Switzerland_LN
9.15449616
MX188_Switzerland_LN
9.67893073
MX254_Switzerland_LN
9.82143065
MX257_Switzerland_LN
10.52936370
MX270_Switzerland_LN
10.80575310
MX258_Switzerland_LN
10.84865429
SX32_Switzerland_LN
11.18996425
MX265_Switzerland_LN
11.68733930
MX252_Switzerland_LN
11.73660939
MX251_Switzerland_LN
11.82088406
MX192_Switzerland_LN
12.11838273
MX286_Switzerland_LN
12.78917120
MX189_Switzerland_LN
13.14804928
MX195_Switzerland_LN
13.43961309
MX191_Switzerland_LN
13.52788971
MX283_Switzerland_LN
13.57620713
MX199_Switzerland_LN
13.93689348
MX277_Switzerland_LN
Distance to:
SX23_Switzerland_LN
4.82215719
English_South
4.89636600
Bavarian_German
5.35476423
English_mixed
6.24699928
English_North
7.12444384
Mixed_NW_Euro
8.37749963
Irish
8.47470353
French2
8.51086365
Irish
8.61473737
Dutch
8.90467855
French
9.25185387
German
9.71429359
Icelandic
11.36341498
Slovenian
12.11494532
Swedish
13.34653513
HUN_Szekely
13.42167132
Italy_Aosta_Valley
13.78326522
Croat
14.16508736
Hungarians
14.62170647
Slovak
15.14092467
Bosnian
15.29650418
Italy_Trentino
15.34014993
Serb
15.99736853
MD_North
16.47937802
Spanish_Baleares
16.71463468
Swiss_Italian
Target: DORQUEST
Distance: 2.1808% / 2.18077124
57.6 MX288_Switzerland_LN
15.0 MX310_Switzerland_LN
12.6 MX190_Switzerland_LN
11.2 MX304_Switzerland_LN
1.8 Aesch25_Switzerland_LN
1.8 MX189_Switzerland_LN
My work is accumulating, you could have warned me
Distance to:
Carlos
9.77182173
I11443_Sicily_EBA_Buffa_Cave_II
10.03350886
I8561_Sicily_EBA_Isnello
11.54324911
I3315_Menorca_LBA_Naveta_des_Tudons_Menorca_Spain
11.77753370
I4329_Mallorca_EBA_Cova_des_Moro_Mallorca_Spain
12.83230299
I4420_all_Formentera_MBA_Formentera_Spain
14.15352606
I12221_Sardinia_EarlyMedieval_Grotta_Colombi
16.41629069
I7800_Sicily_EBA_Contrada_Paolina_Castellucciana
16.95522928
I16163_Sardinia_IA_Anghelu_Ruju
17.19723234
I3124_Sicily_EBA_Buffa_Cave_II
Distance to:
Carlos
7.89062735
MX277_Switzerland_LN
8.04989441
MX299_Switzerland_LN
8.28251170
SX20_Switzerland_LN
8.80555506
SX18_Switzerland_LN
10.06155058
MX283_Switzerland_LN
11.56311377
MX286_Switzerland_LN
11.84286283
MX256_Switzerland_LN
12.59293056
MX254_Switzerland_LN
13.82450722
SNPRA63_Switzerland_LN
14.04436186
MX298_Switzerland_LN
15.77877055
MX288_Switzerland_LN
16.22367098
MX275_Switzerland_LN
16.99146550
MX257_Switzerland_LN
17.01640679
MX270_Switzerland_LN
17.31673468
MX258_Switzerland_LN
17.34922765
MX252_Switzerland_LN
17.41192695
SX23_Switzerland_LN
17.55614992
MX259_Switzerland_LN
18.16310546
MX251_Switzerland_LN
18.56330789
MX280_Switzerland_LN
18.67291889
MX279_Switzerland_LN
Distance to:
Carlos
20.18082506
scy192_Scythian
20.50462875
scy311_Scythian
20.67975097
scy304_Scythian
20.78736395
scy300_Scythian
21.50676405
scy197_Scythian
Distance to:
Carlos
8.97456406
RISE254_Szazhalombatta-Foldvar_Hungary_3631_years
9.85490233
RISE471_Untermeitingen_Germany
11.06660291
RISE349_Battonya_Voros_Oktober_Hungary_3588_years
11.11920411
RISE247_Szazhalombatta-Foldvar_Hungary_3372_years
12.06504041
RISE595_Velika_Gruda_Montenegro
13.54567828
RISE559_Augsburg_Germany
13.56254032
RISE480_Erd_4_Hungary
14.06402858
RISE374_Szoreg-C_Sziv_Utca_Hungary_3402_years
14.06543636
RISE373_Szoreg-C_Sziv_Utca_Hungary_3476_years
15.99839367
RISE483_Erd_4_Hungary
16.20334842
RISE564_Osterhofen-Altenmark_Germany
19.29853103
RISE596_Velika_Gruda_Montenegro
20.84111321
RISE210_Angamollan_Sweden_3105_years
22.62739048
RISE436_Tiefbrunn_Germany_4124_years
23.21874458
RISE21_Karlstrup_Denmark_3092_years
23.33675427
RISE486_Remedello_di_Sotto_Italy_3595_years
23.53671600
RISE586_Moravska_Nova_Ves_Czech_Republic
24.00593677
RISE560_Augsburg_Germany
24.25228855
RISE577_Velke_Prilepy_Czech_Republic_~2000_years
24.33128233
RISE484_Erd_4_Hungary
26.16644225
RISE61_Kyndelose_Denmark_4071_years
Distance to:
DORQUEST
8.52849342
BR2_Hungary_1180BC
15.79129507
IR1_Hungary_900BC
17.91743564
R1_Hungary_2080BC
19.51239350
NE7_Hungary_4420BC
37.63117723
KO1_Hungary_5710BC
45.94535232
NE2_Hungary_5140BC
46.04536242
NE3_Hungary_5130BC
46.21876134
CO1_Hungary_2810BC
48.32353360
NE1_Hungary_5230BC
49.15458168
NE4_Hungary_5130BC
53.08189616
KO2_Hungary_5640BC
55.33223563
NE6_Hungary_5090BC
55.79512524
NE5_Hungary_5120BC
Distance to:
BR2_Hungary_1180BC
6.67682559
Bavarian_German
9.77055781
Slovenian
10.88460381
Croat
11.65837896
HUN_Szekely
11.88754811
Serb
12.23653546
Bosnian
12.24869789
English_South
12.39104919
Hungarians
12.58422028
German
12.61246606
English_mixed
13.14880620
Italy_Aosta_Valley
13.17452086
English_North
13.17455123
MD_North
13.22641902
Italy_Trentino
13.58376973
Montenegrin
13.77661787
French2
13.83621697
French
14.36809660
MD_Center
14.46242934
Swiss_Italian
14.46478828
Mixed_NW_Euro
14.50185161
Slovak
14.62904084
Italy_FriuliVG
15.43936851
Dutch
15.65762753
Irish
15.67621128
Macedonian
Target: DORQUEST
Distance: 2.2068% / 2.20677052 | ADC: 0.25x
35.8
BR2_Hungary_1180BC
34.6
IR1_Hungary_900BC
27.4
NE7_Hungary_4420BC
2.2
BR1_Hungary_2080BC
Population genomics of Bronze Age Eurasia
Distance to:
DORQUEST
5.45367766
RISE436_Tiefbrunn_Germany_4124_years
5.60124093
RISE577_Velke_Prilepy_Czech_Republic_~2000_years
7.94628215
RISE210_Angamollan_Sweden_3105_years
8.45611613
RISE71_Falshoj_Denmark_3701_years
9.11999452
RISE61_Kyndelose_Denmark_4071_years
10.13641949
RISE559_Augsburg_Germany
10.36420764
RISE483_Erd_4_Hungary
10.81590033
RISE564_Osterhofen-Altenmark_Germany
13.52611548
RISE150_Przeclawice_Poland_3469_years
13.92285890
RISE586_Moravska_Nova_Ves_Czech_Republic
14.52678560
RISE47_Sebber_skole_Denmark_3153_years
14.72259828
RISE480_Erd_4_Hungary
14.76667532
RISE97_Fredriksberg_Sweden_3590_years
14.83315880
RISE569_Brandysek_Czech_Republic_~2000_years
15.21289585
RISE98_L_Beddinge_56_Sweden_3736_years
15.48025517
RISE174_Oxie_7_Sweden_1521_years
15.56477754
RISE374_Szoreg-C_Sziv_Utca_Hungary_3402_years
15.65917942
RISE563_Osterhofen-Altenmark_Germany
15.75837238
RISE179_Abekas_I_Sweden_3556_years
15.76889026
RISE373_Szoreg-C_Sziv_Utca_Hungary_3476_years
15.80812449
RISE560_Augsburg_Germany
15.91329633
RISE276_Trundholm_mose_II_2525_years
15.94810020
RISE349_Battonya_Voros_Oktober_Hungary_3588_years
16.03154079
RISE21_Karlstrup_Denmark_3092_years
16.27100489
RISE431_Leki_Male_Poland_3762_years
Target: DORQUEST
Distance: 1.0322% / 1.03215774 | ADC: 0.25x
54.2
RISE577_Velke_Prilepy_Czech_Republic_~2000_years
19.6
RISE436_Tiefbrunn_Germany_4124_years
15.2
RISE483_Erd_4_Hungary
10.4
RISE559_Augsburg_Germany
0.6
RISE412_Noratus_Armenia_2885_years
Distance to:
RISE577_Velke_Prilepy_Czech_Republic_~2000_years
2.47556054
Icelandic
3.16007911
English_North
3.44665055
Dutch_North
3.62414128
Dutch_Central
3.97860528
Dutch
4.34043777
Mixed_NW_Euro
4.42786630
English_mixed
4.53569179
Irish
4.55231809
Irish
4.82210535
English_South
5.12048826
Swedish
6.07419954
German
7.36725186
Dutch_South
12.17846049
Bavarian_German
12.77890058
French2
13.35697571
French
13.54348183
Sorb_Lusatia
13.55508392
Slovenian
13.68681848
Slovak
15.10415175
Hungarians
15.21597844
PL_Warmia-Masuria
15.36637563
PL_GreaterPoland
17.53336534
Croat
18.27407727
Ukrainian
18.74196628
HUN_Szekely
Distance to:
RISE436_Tiefbrunn_Germany_4124_years
6.54583073
Dutch_South
6.64913528
German
7.02413696
Dutch_Central
7.08014124
Dutch
7.57295187
Slovenian
8.16176452
Bavarian_German
8.89955055
English_South
9.11120190
English_North
9.22656491
English_mixed
9.50474092
Dutch_North
9.53081843
Hungarians
9.91845250
Slovak
10.25273134
Icelandic
10.35859546
Mixed_NW_Euro
10.56118838
Swedish
10.79775903
Croat
11.49645598
Irish
11.60940136
Irish
11.80408404
HUN_Szekely
11.98574153
Sorb_Lusatia
12.40797324
Bosnian
13.04054447
MD_North
13.04088187
PL_GreaterPoland
13.97547137
Serb
14.84816487
French2
Distance to:
DORQUEST
10.16559885
scy303_Scythian
11.05857586
scy009_Scythian
14.07695635
scy010_Scythian
14.65281202
scy304_Scythian
17.60243165
kzb001_Srubnaya
20.92443070
kzb003_Srubnaya
21.31096431
kzb006_Srubnaya
21.44465201
kzb009_Srubnaya
22.07359509
kzb007_Srubnaya
23.54744147
kzb004_Srubnaya
23.62460370
mur003_Srubnaya
25.36496205
scy301_Scythian
25.41798773
mur004_Srubnaya
25.50334292
cim357_Cimmerian
25.79540657
scy311_Scythian
27.75092071
kzb002_Srubnaya
27.95105007
scy011_Scythian
28.60599587
scy006_Scythian
28.67419223
mur001_Srubnaya
28.95423458
scy305_Scythian
29.05990021
mur002_Srubnaya
29.13304653
kzb005_Srubnaya
29.34671361
kzb008_Srubnaya
30.51115042
chy001_Sarmatian
30.95112437
scy192_Scythian
Target: DORQUEST
Distance: 3.8440% / 3.84399221 | ADC: 0.25x
71.8
scy303_Scythian
21.2
scy197_Scythian
7.0
scy009_Scythian
Distance to:
scy303_Scythian
3.18799310
Swedish
3.40656719
Icelandic
4.63694943
Dutch_North
6.97272544
Dutch_Central
7.09630890
German
Distance to:
scy197_Scythian
6.50429089
Italy_Romagna
7.27741012
Italy_Marche
7.48716569
Italy_Tuscany
7.66083572
Italy_Lazio
8.36653040
Italy_Emilia
Distance to:
scy009_Scythian
4.40464528
Sorb_Lusatia
4.81532969
Slovak
5.53473577
PL_GreaterPoland
5.88813213
German
6.94381739
PL_Warmia-Masuria
Mothers results: She looks more like an ancient one !
Dodecad K12b Ancient West Eurasia [by Eupedia Team]
Distance to:
Ambler
2.62036257
Collegno87
2.63144447
MX280_Switzerland_LN
3.13494817
RISE210_Angamollan_Sweden_3105_years
3.73858262
France_IA_ATT26
4.18370649
MX279_Switzerland_LN
4.56576390
France_BA_RIX4
4.59868459
NorthAlpineSouthDutch_AITI_2
4.84541020
Szolad3
4.85772581
MX288_Switzerland_LN
4.92473350
CrusaderKnightCelto-GermanicLebanonCrusaderSI47
4.94896959
Collegno83
5.14728084
SNPRA64_Switzerland_LN
5.22180046
MX257_Switzerland_LN
5.25036189
SX23_Switzerland_LN
5.41167257
MX270_Switzerland_LN
5.46408272
Szolad14
5.50853883
BellBeakerSouthernFrance_I3874
5.53047918
NorthAlpineBronzeAgeFrench_AITI_78
5.58953486
I8206_NE_Iberia_Hel_Empuries1
5.68699393
BronzeAgeOuterHebrides_I2655
5.68902452
Szolad23
5.79137289
Szolad38
5.86444371
France_IA_COL11
5.93372564
I0118_ALB3_Alberstedt_LN_Alberstedt_Germany_2459-2345_calBCE
6.02265722
France_BA_BIS130
Distance to:
Collegno87
3.09420426
English_mixed
3.22083840
English_South
3.81219097
English_North
4.30363800
Mixed_NW_Euro
4.73072933
Irish
4.74580868
Irish
5.13184177
Dutch
5.37158263
Dutch_Central
5.70922937
Dutch_South
6.45461850
Dutch_North
7.31186707
French2
7.31896851
Icelandic
8.05156507
French
10.06299160
German
10.12629251
Bavarian_German
10.59301185
Swedish
15.24531403
Slovenian
16.76838599
Italy_Aosta_Valley
17.05332519
Slovak
17.62944412
Hungarians
18.17505983
Sorb_Lusatia
18.19775261
HUN_Szekely
18.31887005
Croat
18.46807245
Spanish_Catalonia
18.71552030
Spanish_Baleares
Distance to:
Ambler
2.63144447
MX280_Switzerland_LN
4.18370649
MX279_Switzerland_LN
4.85772581
MX288_Switzerland_LN
5.14728084
SNPRA64_Switzerland_LN
5.22180046
MX257_Switzerland_LN
5.25036189
SX23_Switzerland_LN
5.41167257
MX270_Switzerland_LN
6.42526264
MX252_Switzerland_LN
6.76753279
MX251_Switzerland_LN
7.69547919
MX258_Switzerland_LN
8.39745795
MX286_Switzerland_LN
8.45892428
MX192_Switzerland_LN
8.61379127
MX275_Switzerland_LN
8.73515312
MX188_Switzerland_LN
9.22684128
MX254_Switzerland_LN
10.03143559
MX283_Switzerland_LN
10.06671247
MX259_Switzerland_LN
10.42883023
SNPRA63_Switzerland_LN
10.52333122
MX190_Switzerland_LN
11.01168924
MX195_Switzerland_LN
11.57008643
MX304_Switzerland_LN
11.68420301
SX32_Switzerland_LN
12.15649209
MX277_Switzerland_LN
12.39430918
SX20_Switzerland_LN
13.19246376
MX191_Switzerland_LN
Distance to:
MX280_Switzerland_LN
2.23910696
English_South
2.39622620
English_mixed
3.39699868
English_North
3.70120251
Dutch_South
3.97726036
Dutch
4.30438149
Dutch_Central
4.40223807
Mixed_NW_Euro
5.15812951
Irish
5.26188179
Irish
6.30094437
Dutch_North
7.28643260
Icelandic
7.67619698
French2
8.28228833
French
8.51044065
Bavarian_German
9.22517209
German
10.42932884
Swedish
13.90886767
Slovenian
15.90549177
Italy_Aosta_Valley
16.02964441
Slovak
16.35468434
Hungarians
16.78079855
HUN_Szekely
16.93338714
Croat
17.28745210
Sorb_Lusatia
18.15478725
Spanish_Catalonia
18.20057966
Spanish_Baleares
Population genomics of Bronze Age Eurasia
Distance to:
Ambler
3.13494817
RISE210_Angamollan_Sweden_3105_years
6.40752682
RISE577_Velke_Prilepy_Czech_Republic_~2000_years
8.60448720
RISE61_Kyndelose_Denmark_4071_years
10.01784907
RISE560_Augsburg_Germany
10.44525251
RISE436_Tiefbrunn_Germany_4124_years
10.83210044
RISE71_Falshoj_Denmark_3701_years
11.08933271
RISE586_Moravska_Nova_Ves_Czech_Republic
11.52881173
RISE559_Augsburg_Germany
12.53065441
RISE150_Przeclawice_Poland_3469_years
12.91439507
RISE21_Karlstrup_Denmark_3092_years
13.34363893
RISE483_Erd_4_Hungary
13.38113598
RISE154_Szczepankowice_Poland_3522_years
13.49076721
RISE564_Osterhofen-Altenmark_Germany
14.15963276
RISE562_Landau_an_der_Isar_Germany
14.38892977
RISE254_Szazhalombatta-Foldvar_Hungary_3631_years
14.94934112
RISE97_Fredriksberg_Sweden_3590_years
15.23036441
RISE484_Erd_4_Hungary
15.28669029
RISE98_L_Beddinge_56_Sweden_3736_years
15.50904252
RISE373_Szoreg-C_Sziv_Utca_Hungary_3476_years
15.84983281
RISE47_Sebber_skole_Denmark_3153_years
15.86781648
RISE174_Oxie_7_Sweden_1521_years
16.24989846
RISE179_Abekas_I_Sweden_3556_years
16.25269824
RISE94_Viby_Sweden_4025_years
16.87902248
RISE480_Erd_4_Hungary
16.90769056
RISE471_Untermeitingen_Germany
Distance to:
RISE210_Angamollan_Sweden_3105_years
1.97699267
Irish
2.11116082
Irish
2.60854365
Mixed_NW_Euro
3.10993569
English_mixed
3.41203751
English_North
3.65901626
English_South
6.18519199
Dutch
6.25890566
Dutch_North
6.29969047
Icelandic
6.36712651
Dutch_Central
7.62289315
Dutch_South
8.49132498
French2
9.08906486
French
10.32832513
Swedish
11.00217251
German
12.19167749
Bavarian_German
17.18704163
Slovenian
18.47596547
Slovak
18.84743252
Italy_Aosta_Valley
18.92451320
Sorb_Lusatia
19.36353532
Hungarians
20.09043305
Spanish_Catalonia
20.24516485
Spanish_Cantabria
20.46551734
Croat
20.50746206
HUN_Szekely
I knew it - those Viking invaders. :wary2:
Dodecad K12b Ancient West Eurasia [by Eupedia Team]
Fathers results:
Distance to:
Richard
2.63406530
Szolad12
3.06885972
Szolad11
3.23979938
Szolad24
3.42045319
Szolad42
3.81287293
Szolad13
4.52441156
I0117_ESP29_Unetice_EBA_Esperstedt_Germany_2199-2064_calBCE
4.76435725
R1286_Medieval_Era_Cancelleria
4.84214828
Szolad22
5.15412456
Szolad7
5.17426323
RISE436_Tiefbrunn_Germany_4124_years
5.45257737
I8212_NE_Iberia_Greek_Empuries1_atypical
5.53014466
Szolad30
5.60759307
I0047_HAL16_Unetice_EBA_Halberstadt-Sonntagsfeld_Germany_2022-1937_calBCE
5.61485530
MX190_Switzerland_LN
5.61636003
R31_Late_Antiquity_Mausole_di_Augusto
5.69646382
I0803_EUL41_Unetice_EBA_Eulau_Germany_2115-1996_calBCE
5.91215697
I0806_QLB28_Bell_Beaker_LN_Quedlinburg_VII_Germany _2296-2206_calBCE
5.92401891
BronzeAgeUnetice_I0047
6.08177606
I0111_ROT4_Bell_Beaker_LN_Rothenschirmbach_Germany _2497-2436_calBCE
6.15188589
Szolad15
6.17693290
Szolad38
6.52921894
France_BA_OBE3722
6.68549923
scy009_Scythian
6.69307851
Szolad4
6.70360351
RISE577_Velke_Prilepy_Czech_Republic_~2000_years
Distance to:
Szolad12
3.64753341
German
4.00382317
Dutch_Central
4.14696274
Dutch
5.50063633
Dutch_South
6.01674331
Dutch_North
6.04379847
English_North
6.25403070
English_South
6.51398496
English_mixed
6.53929660
Icelandic
7.13509636
Mixed_NW_Euro
7.32538054
Swedish
8.33157848
Irish
8.43324967
Irish
8.60959349
Slovenian
8.79424243
Bavarian_German
9.72470051
Slovak
10.44775574
Hungarians
10.96017792
Sorb_Lusatia
12.40239896
Croat
12.43320152
PL_GreaterPoland
13.81590750
HUN_Szekely
13.90204302
PL_Warmia-Masuria
13.96941302
Bosnian
13.98229952
French2
14.49637196
French
4,124 years ago.
Distance to:
RISE436_Tiefbrunn_Germany_4124_years
6.54583073
Dutch_South
6.64913528
German
7.02413696
Dutch_Central
7.08014124
Dutch
7.57295187
Slovenian
8.16176452
Bavarian_German
8.89955055
English_South
9.11120190
English_North
9.22656491
English_mixed
9.50474092
Dutch_North
9.53081843
Hungarians
9.91845250
Slovak
10.25273134
Icelandic
10.35859546
Mixed_NW_Euro
10.56118838
Swedish
10.79775903
Croat
11.49645598
Irish
11.60940136
Irish
11.80408404
HUN_Szekely
11.98574153
Sorb_Lusatia
12.40797324
Bosnian
13.04054447
MD_North
13.04088187
PL_GreaterPoland
13.97547137
Serb
14.84816487
French2
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