K12b Dodecad K12b Ancient West Eurasia [by Eupedia Team]

Jovialis · Apr 25, 2020

torzio said:
@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

As I also have a genetic match with Escher
https://www.myheritage.com/research...295/ulrich-blarer-in-familysearch-family-tree

I would need to have his autosomal DNA, via a raw data file.

torzio · Apr 25, 2020

Jovialis said:
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*

Angela · Apr 25, 2020

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 · Apr 26, 2020

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_Peloponnese
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_Peloponnese
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_Peloponnese
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_Lasithi_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_Crete
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

Jovialis · Apr 26, 2020

Jovialis said:
The calculator is now known as "Dodecad K12b Ancient West Eurasia" on Admixture studio:

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_Esperstedt_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

kingjohn · Apr 26, 2020

Jovialis said:

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/sear...y+in+the+islands+of+the+western+Mediterranean

Code:

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,0.00,0.00,7.07,0.00,48.59,0.00,0.00,0.00,14.15,0.00,30.20,0.00
I10372_Sicily_LBA_Marcita,0.00,0.00,2.92,0.00,50.25,6.43,0.00,0.00,9.53,0.00,30.75,0.12
I10373_Sicily_LBA_Marcita,0.00,0.00,2.73,0.00,47.99,6.22,0.00,0.00,12.46,0.88,29.57,0.14
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,0.00,0.00,3.48,0.17,72.12,6.36,0.00,0.00,7.01,0.00,10.86,0.00
I10553_Sardinia_BA_Perdasdefogu,0.00,0.00,3.30,0.00,68.13,7.19,0.00,0.00,8.46,0.00,12.92,0.00
I10554_Sardinia_BA_Perdasdefogu,0.00,0.00,4.12,0.31,68.87,5.38,0.00,0.00,7.21,0.00,14.03,0.07
I11442_Sicily_EBA_Buffa_Cave_II,0.00,0.00,4.78,0.00,48.03,9.39,0.00,0.00,10.84,0.47,26.48,0.00
I11443_Sicily_EBA_Buffa_Cave_II,5.49,1.21,1.46,0.38,38.60,32.29,1.45,0.00,2.98,0.00,16.12,0.00
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,10.18,0.00,4.46,0.00,37.70,19.25,0.00,0.00,10.22,0.00,17.70,0.49
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,0.00,0.00,5.42,0.00,65.33,3.69,0.00,0.00,10.05,0.10,15.42,0.00
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,0.00,0.00,36.31,0.00,19.57,0.00,0.00,14.31,18.39,0.00,6.03,5.38
I15941_Sardinia_Chalcolithic_Anghelu_Ruju,0.00,0.00,4.21,0.00,70.81,4.26,0.00,0.00,5.21,0.04,15.38,0.07
I15942_Sardinia_Chalcolithic_Anghelu_Ruju,0.00,0.00,2.99,0.00,68.81,2.54,0.00,0.00,6.79,0.29,18.46,0.12
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,0.00,0.00,4.06,0.00,68.31,4.12,0.00,0.00,10.81,0.62,12.07,0.00
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,0.00,0.00,4.78,0.61,67.91,6.44,0.00,0.00,6.99,0.00,13.26,0.00
I16163_Sardinia_IA_Anghelu_Ruju,0.72,0.00,0.77,1.26,51.57,15.82,0.00,0.00,10.24,0.00,19.61,0.00
I16164_Sardinia_Chalcolithic_Sa_Ucca_de_su_Tintirriolu,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_Tintirriolu,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_Tintirriolu,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,0.00,0.00,3.37,0.00,68.14,2.95,0.00,0.00,9.45,0.00,15.79,0.31
I16169_Sardinia_BA_Anghelu_Ruju,0.00,0.00,4.43,0.00,67.80,4.25,0.00,0.00,5.88,0.00,17.64,0.00
I16170_Sardinia_BA_Anghelu_Ruju,0.00,0.00,2.85,0.82,66.53,6.22,0.00,0.04,7.19,0.00,16.02,0.34
I16183_Sardinia_BA_Anghelu_Ruju,0.00,0.00,2.30,0.73,65.78,5.96,0.00,0.00,13.06,0.00,12.16,0.00
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,3.14,0.00,3.07,0.00,54.78,26.97,0.00,0.00,2.43,0.74,8.56,0.30
I3642_Sardinia_BA_Alghero,0.00,0.00,5.36,0.00,68.76,4.57,0.00,0.00,8.72,0.00,12.59,0.00
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,3.80,0.00,5.00,1.21,55.42,21.66,1.49,0.00,2.20,0.00,8.82,0.41
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,1.14,0.00,4.99,2.71,43.75,15.60,0.00,0.00,13.10,0.00,18.70,0.00
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

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

Duarte · May 4, 2020

www.dnagenics.com - Dodecad K12b Ancient West Eurasia [source data provided by Eupedia Team] - My results:

nMonte Calculator by 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

Oracle Calculator by 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 · May 4, 2020

Here is mine:

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_Peloponnese + 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_Lasithi_Crete + 25% I0073_Bronze_Age_Minoan_Hagios_Charalambos_Cave_Lasithi_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

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.

Duarte · May 4, 2020

Archetype0ne said:
Here is mine:

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_Peloponnese + 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_Lasithi_Crete + 25% I0073_Bronze_Age_Minoan_Hagios_Charalambos_Cave_Lasithi_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

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

Archetype0ne · May 4, 2020

Thank you Duarte. Your contribution is always forthcoming and welcome

.

Duarte · May 4, 2020

Archetype0ne said:
Thank you Duarte. Your contribution is always forthcoming and welcome .

Thanks

Angela · May 4, 2020

@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.

Apologies if these were things you already knew.

Archetype0ne · May 4, 2020

Angela said:
@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.

Apologies 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.

Do you happen to know what the legend for this image means?

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.

Angela · May 4, 2020

Archetype0ne said:
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.

Do you happen to know what the legend for this image means?

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.

Duarte · May 4, 2020

Archetype0ne said:
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.

Do you happen to know what the legend for this image means?

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/

Angela · May 4, 2020

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 - [FONT=&quot] [FONT=&quot][/FONT]
Top

99 %

match vs all users[/FONT]

2. Central Roman (630 AD) ..... 4.975 - CL36 - [FONT=&quot] ? [FONT=&quot][/FONT]
Top

99 %

match vs all users[/FONT]

torzio · May 4, 2020

Duarte said:
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

Duarte · May 5, 2020

Duarte said:
www.dnagenics.com - Dodecad K12b Ancient West Eurasia [source data provided by Eupedia Team] - My results:

nMonte Calculator by 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

Oracle Calculator by 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

Shargan · May 8, 2020

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

Angela · May 8, 2020

Shargan said:
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.

K12b Dodecad K12b Ancient West Eurasia [by Eupedia Team]

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