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torzio said:

very nice Lucas

my new ones






below.....other beyond 11.5

Admix Results (sorted):

#	Population	Percent
1	North_Atlantic	29.84
2	West_Med	22.93
3	East_Med	17.25
4	Baltic	17.03
5	West_Asian	8.43
6	Red_Sea	2.31
7	South_Asian	0.93
8	East_Asian	0.67
9	Sub-Saharan	0.34
10	Oceanian	0.26

Single Population Sharing:

#	Population (source)	Distance
1	North_Italian	5.98
2	Tuscan	9.42
3	Romanian	10.1
4	Bulgarian	11.17

Click to expand...

DA195

Kit GN2826307

Admix Results (sorted):


Single Population Sharing:



paper here

https://science.sciencemag.org/content/360/6396/eaar7711



and part of Hep B into europe
https://www.biorxiv.org/content/10.1101/829473v1.full

TardisBlue said:

Eurogenes K13 ancient.




What/who's Halton?

Here are his K13 results on Gedmatch:

Population	Percent
1	North_Atlantic	33.81
2	East_Med	18.54
3	West_Med	16.47
4	Baltic	14.73
5	West_Asian	10.5
6	Red_Sea	3.14
7	Siberian	1.41
8	Oceanian	0.77
9	South_Asian	0.57
10	Sub-Saharan	0.05

Single Population Sharing:

#	Population (source)	Distance
1	North_Italian	9.64
2	Tuscan	11.21
3	Romanian	12.04
4	French	12.08

Mixed Mode Population Sharing:

#		Primary Population (source)	Secondary Population (source)	Distance
1		61%	Italian_Abruzzo	+	39%	Orcadian	@	1.66
2		62.1%	Southeast_English	+	37.9%	Cyprian	@	1.67
3		60.5%	Southwest_English	+	39.5%	Cyprian	@	1.8
4		58.7%	Italian_Abruzzo	+	41.3%	Southeast_English	@	1.83
5		62.1%	Italian_Abruzzo	+	37.9%	West_Scottish	@	1.94
6		61%	Italian_Abruzzo	+	39%	North_Dutch	@	1.94
7		60.9%	Italian_Abruzzo	+	39.1%	Danish	@	1.94
8		59.8%	Orcadian	+	40.2%	Cyprian	@	1.95
9		64.6%	West_German	+	35.4%	Sephardic_Jewish	@	2

Click to expand...

I'm not sure, maybe some Collegno sample. I removed it temporarily form spreadsheet unless I find the source for it.

Thanks Lukaz - Very coll
My results - Vahaduo Eurogenes K13 ANCIENT




I12649_low_quality = Medieval Taifa of Valencia (1200 AD) - I12649:



col001_col001 = Medieval Iberian (580 AD) - CL23

mlukas said:

I'm not sure, maybe some Collegno sample. I removed it temporarily form spreadsheet unless I find the source for it.

Click to expand...

Hi Lucas

There are a few doubles in mine ...see post #119

There could be a calculator for Europe with all the old samples the E1b found in burials in Europe, it would be useful for those of us who are European and with haplogroup E because to date all the burden of E is focused on the Moorish of Iberia but many have haplogroup by dna And that does not coincide with this route and we want to know and it would be good a calculator with all the samples found in Europe and even in the nearby steps

Target: New_Englander
Distance: 1.2816% / 1.28157562
30.2 French_Basque
14.4 Lebanese_Druze
14.2 Iraqi_Jew
8.8 Serbian
8.6 Erzya
8.6 Kurdish_Jew
7.8 Sardinian
5.2 Tabassaran
1.0 Chuvash
0.6 Yemenite_Jewish
0.2 Iranian_Mazandarani
0.2 Karitiana
0.2 Spanish_Extremadura

Distance to: New_Englander
6.48949921 West_Sicilian
6.81242890 GR_Peloponese
7.53704849 Italy_Abruzzo
7.79142477 Greek
7.93054223 Italy_Apulia
8.03426412 Albanian-South
8.46825248 Albanian-Macedonia
8.63279213 Tuscan
8.72477507 Italy_Marche
8.92671832 Central_Greek
9.16685273 Kosovo_Albanian
9.22144783 Italy_Lazio
9.28005388 East_Sicilian
9.72156880 Albanian-North
9.98970470 Italy_Campania
10.03017448 Ashkenazi
10.26284074 Italy_Central_Sicily
10.59893863 Albanian-Kosovo
10.71939571 GR_Macedonia
10.77023677 Greek_Thessaly
10.94138474 Italy_West_Sicily
11.34035714 South_Italian
11.45462352 Italy_Tuscany
11.58526219 Italy_Emiliaromagna
11.85324850 Macedonian_2

K15 update. I think I used the wrong tool on the last post, that one was k15 ancient. Makes alot more sense now lol.

@mlukas,

Could you make coordinates for the new Italian regional samples, in Dodecad K12b? It would be much appreciated.

torzio said:

very nice Lucas

my new ones






below.....other beyond 11.5

Admix Results (sorted):

#	Population	Percent
1	North_Atlantic	29.84
2	West_Med	22.93
3	East_Med	17.25
4	Baltic	17.03
5	West_Asian	8.43
6	Red_Sea	2.31
7	South_Asian	0.93
8	East_Asian	0.67
9	Sub-Saharan	0.34
10	Oceanian	0.26

Single Population Sharing:

#	Population (source)	Distance
1	North_Italian	5.98
2	Tuscan	9.42
3	Romanian	10.1
4	Bulgarian	11.17

Click to expand...

so

COL001.A0101 = CL23 .................which is T1a2-L446 ydna

What is SZ1_SZ1 ??? ...............is it R1a - Z2123 ??

R1 is mtDNA: U5a2b

DA195 is mtDNA: H+16311

DA199 is mtDNA: H1ba

SCY192 is mtDNA: H8c

torzio said:

so

COL001.A0101 = CL23 .................which is T1a2-L446 ydna

What is SZ1_SZ1 ??? ...............is it R1a - Z2123 ??

R1 is mtDNA: U5a2b

DA195 is mtDNA: H+16311

DA199 is mtDNA: H1ba

SCY192 is mtDNA: H8c

Click to expand...

@torzio

What is SZ1_SZ1 ??? ...............is it R1a - Z2123 ??
SZ1 is Szólád_bronze age. According the last line of color spreadsheet, below, the answer is YES. The yDNA is R1a1a1b2a2a > Z2123.
The mitochondrial DNA (mtDNA) haplogroup is J1b. See below too.

I want an old calculator based on the old E1b found in Europe from prehistory onwards.

My K15 Ancient. I take this with a huge load of salt because this Eurogenes calculator gives me huge distances to both Northern Italians and Tuscans. (Thanks, Jovialis)

Angela said:

My K15 Ancient. I take this with a huge load of salt because this Eurogenes calculator gives me huge distances to both Northern Italians and Tuscans. (Thanks, Jovialis)

6.59585476	IA_Protovillanovan_Martinsicuro_R1
9.97415661	IA_Civitavecchia_R474
10.52466151	EMBA_Croatia_I4331
10.83707525	ScythianMoldova_SCY197
11.64466831	BronzeAgeDalmatian_I4332
11.90834581	BronzAgeBalkan
13.03677107	Vucedol_I3499
13.34351903	IA_Civitavecchia_R473
14.91996984	Bavaria_STR310
14.99525258	IA_Castel_di_Decima_R1016
14.99546598	IA_Boville_Ernica_R1021
15.06043824	IA_Etruscan_Veio_Grotta_Gramiccia_R1015
15.46276819	IA_Prenestina_Selicata_R437
15.83683996	ScythianMoldova_SCY300
16.19309729	IA_Ardea_R851
16.26327458	IronAgeBalkan
17.46251414	IA_Civitavecchia_R475
18.36019063	MedievalHungarian_DA199
18.44684797	Scythian_SCY311
18.71971421	IA_Prenestina_Colombella_R435
19.49851789	Mycenaean_I9041
21.14828835	BR2_Hungary
21.92221248	NorthItalian_HGDP01171
23.55316115	IA_Ardea_R850
24.14315845	Crimean_Goth_KER1
24.37787727	UkrainianNeolithicFarmer_I1926
24.52631036	RomanSoldier_FN2
25.96803035	Mycenaean_I9006
26.51267056	Guanche_5
26.88534359	HallstattCelt_DA111
27.17706754	BronzeAgeEngland_I2462
27.26174976	Boncuklu002
27.75708918	ChalcolithicAgeAnatolian
27.78830509	Ostuni1
28.16864924	Minoan_Lasithi_I9005
28.67482345	UneticeBellBeaker_RISE577
28.93480776	HallstattCelt_DA112
29.73860454	MakoCultureHungary_BR1
30.05623230	NE1_Starcevo(Hungary)
30.25968110	NeolithicGACFarmer_RISE1168
30.29054968	ArmenianChalcolithic_I1632
30.46503734	KaramanKalehoyuk_MA2206
30.60624936	SouthFrenchBellBeaker_I3875
30.62173574	GreekNeolithicRevenia
30.75501260	Ovaören_Topakhöyük_AnatoliaEBA_MA2212
30.88329969	EsperstedtMN_I0172
30.92191133	MalakPreslavets_I0700
30.94906622	AnatoliaEarlyNeolithic_Tep003
31.09365852	GoyetQ116_1
31.73966919	LateBronzeAgeScotland

Click to expand...

Like I said, I don't trust the Eurogenes calculators. K13 gives me better fits for Tuscan and North Italian, around 3.5, but look at these bizarre ancient results. They should be approximately the same as the K15 ancient, but they're wildly different.


All of these SZ samples, although found in the Langobard graveyard in Hungary are "Italian like", of course.

Is it because Lukas included different ancient samples for each of the two calculators, or is it the Eurogenes calculators?

I couldn't be closer to SZ43, which in Jovialis' PCA is very close to that one sample from Genova (Liguria).

Angela said:

Like I said, I don't trust the Eurogenes calculators. K13 gives me better fits for Tuscan and North Italian, around 3.5, but look at these bizarre ancient results. They should be approximately the same as the K15 ancient, but they're wildly different.

1.88533817	SZ43_szo036_Longobard_M_i2a2-s391_H1e
3.92136456	SZ31_Longobard_M_T1a1a_PF5620_U4c2a_6-th_century
4.94862607	SZ31_Longobard_M_T1a1a_PF5620_U4c2a_6-th_century
5.48877035	IA_Protovillanovan_Martinsicuro_R1
6.08428303	I7424_morisco
6.55533371	sz31_szo029_Longobard_F_H74
6.84388778	I7424_morisco2
8.88681045	SZ1_SZ1
9.31946887	col018_col018_M_R1b-Z2123_T2b
9.93161115	I12647_iberia2
9.96091361	I12647_iberia
10.48618138	ScythianMoldova_SCY197_Moldova_288502632_BC
10.51419517	I7498_Muslim_Iberian_1000_1100_CE_E1b1b1a1b1a_H3a1_2
10.54139459	I7498_Muslim_Iberian_1000_1100_CE_E1b1b1a1b1a_H3a1
10.57125820	scy192_scythian_2863_2503bce
10.66753486	col001_col001
10.70753006	IA_Civitavecchia_R474
10.82380709	RISE254_Szazhalombatta_Foldvar_Hungary_3631_years_GHIJK_Z12203_J1c9
11.81369121	sz40_szo034_Longobard
12.52218032	I12516_iberia
13.44571679	IA_Civitavecchia_R473
13.49187904	I12644_Muslim_Iberian_1100_1300_CE2
13.74177208	I3807_morisco
13.81188619	I3807_morisco
14.21938466	I10865_iberia

All of these SZ samples, although found in the Langobard graveyard in Hungary are "Italian like", of course.

Is it because Lukas included different ancient samples for each of the two calculators, or is it the Eurogenes calculators?

I couldn't be closer to SZ43, which in Jovialis' PCA is very close to that one sample from Genova (Liguria).

Click to expand...

@Angela, I'm roughly in your same conditions as actually using these Eurogenes calculators, but if I have to give a preference between the two, the k13 seems to me in my case a bit more realistic and specific in its oracles, although it works with fewer autosomal components

K13


Single Population Sharing:

#	Population (source)	Distance
1	Tuscan	4.52
2	North_Italian	6.23
3	Greek_Thessaly	9.16
4	Italian_Abruzzo	9.47
5	West_Sicilian	10.14
6	Romanian	11.89
7	Bulgarian	11.93
8	Central_Greek	12.98
9	East_Sicilian	13.55
10	Portuguese	13.73
11	Spanish_Extremadura	13.99
12	Serbian	14.54
13	Spanish_Galicia	14.95
14	Spanish_Murcia	15.05
15	Spanish_Andalucia	15.39
16	South_Italian	15.45
17	Spanish_Valencia	15.66
18	Spanish_Cataluna	15.7
19	Spanish_Castilla_Y_Leon	15.91
20	Ashkenazi	16.22

Mixed Mode Population Sharing:

#		Primary Population (source)	Secondary Population (source)	Distance
1		83.2%	Tuscan	+	16.8%	Hungarian	@	1.4
2		83.5%	Tuscan	+	16.5%	Austrian	@	1.57
3		77.4%	Tuscan	+	22.6%	Serbian	@	1.6
4		87.9%	Tuscan	+	12.1%	South_Polish	@	1.67
5		85.1%	Tuscan	+	14.9%	East_German	@	1.71
6		89.1%	Tuscan	+	10.9%	Polish	@	1.73
7		89.8%	Tuscan	+	10.2%	Southwest_Finnish	@	1.75
8		89.5%	Tuscan	+	10.5%	Ukrainian_Belgorod	@	1.77
9		90.6%	Tuscan	+	9.4%	Finnish	@	1.78
10		89.8%	Tuscan	+	10.2%	Russian_Smolensk	@	1.79
11		90.8%	Tuscan	+	9.2%	Estonian	@	1.8
12		88%	Tuscan	+	12%	Ukrainian_Lviv	@	1.81
13		85.2%	Tuscan	+	14.8%	Croatian	@	1.82
14		90.1%	Tuscan	+	9.9%	Belorussian	@	1.84
15		56.9%	Central_Greek	+	43.1%	French	@	1.85
16		55.8%	East_Sicilian	+	44.2%	French	@	1.87
17		91.1%	Tuscan	+	8.9%	Lithuanian	@	1.87
18		89.6%	Tuscan	+	10.4%	Southwest_Russian	@	1.88
19		89.1%	Tuscan	+	10.9%	North_Swedish	@	1.89
20		88.5%	Tuscan	+	11.5%	Ukrainian	@	1.9

@Pax has indicated it to me several times and he will be able to explain it better than me: in the k15 the North_Sea component and the Atlantic one partially overlap (and perhaps they interfere with each other in a rather unbalanced way, at least for us Italians, making the results significantly change also in the recent oracles). In K13 the problem doesn't arise with the North_Atlantic component which constitutes a more univocal and homogeneous datum

K15

Admix Results (sorted):

#	Population	Percent
1	Atlantic	25.83
2	East_Med	18.93
3	West_Med	16.08
4	North_Sea	11.37
5	West_Asian	10.27
6	Baltic	8.78
7	Red_Sea	4.78
8	Eastern_Euro	3.92
9	Northeast_African	0.04

Single Population Sharing:

#	Population (source)	Distance
1	Tuscan	7.02
2	North_Italian	8.49
3	West_Sicilian	10.28
4	Italian_Abruzzo	10.33
5	Greek	10.94
6	Bulgarian	12.53
7	Spanish_Andalucia	12.82
8	Greek_Thessaly	13.18
9	Spanish_Murcia	13.54
10	Spanish_Extremadura	13.54
11	Romanian	13.66
12	East_Sicilian	13.77
13	Spanish_Valencia	13.79
14	Central_Greek	13.8
15	Spanish_Castilla_Y_Leon	14.39
16	Portuguese	14.59
17	Spanish_Cataluna	14.66
18	Spanish_Castilla_La_Mancha	14.81
19	South_Italian	15.25
20	Serbian	15.36

Mixed Mode Population Sharing:

#		Primary Population (source)	Secondary Population (source)	Distance
1		67.9%	Southwest_French	+	32.1%	Iranian_Jewish	@	4.03
2		63.5%	Southwest_French	+	36.5%	Lebanese_Muslim	@	4.22
3		72.8%	Italian_Abruzzo	+	27.2%	French_Basque	@	4.34
4		68.3%	Southwest_French	+	31.7%	Kurdish_Jewish	@	4.42
5		67%	Southwest_French	+	33%	Assyrian	@	4.45
6		64.6%	Italian_Abruzzo	+	35.4%	Southwest_French	@	4.6
7		65.8%	Central_Greek	+	34.2%	French_Basque	@	4.6
8		63%	Ashkenazi	+	37%	French_Basque	@	4.66
9		73.4%	Spanish_Valencia	+	26.6%	Iranian_Jewish	@	4.7
10		58.5%	Italian_Abruzzo	+	41.5%	Spanish_Valencia	@	4.73
11		72.6%	Spanish_Valencia	+	27.4%	Assyrian	@	4.75
12		71.7%	Greek	+	28.3%	French_Basque	@	4.78
13		73.1%	Spanish_Valencia	+	26.9%	Georgian_Jewish	@	4.82
14		67.7%	Southwest_French	+	32.3%	Lebanese_Druze	@	4.84
15		63.5%	Italian_Abruzzo	+	36.5%	Spanish_Aragon	@	4.92
16		69.5%	Spanish_Valencia	+	30.5%	Lebanese_Muslim	@	4.92
17		61.8%	Greek	+	38.2%	Spanish_Aragon	@	4.97
18		66%	East_Sicilian	+	34%	French_Basque	@	4.97
19		58.9%	Greek	+	41.1%	Spanish_Castilla_La_Mancha	@	4.98
20		56.7%	Italian_Abruzzo	+	43.3%	Spanish_Andalucia	@	5.03

(As you can see my oracle K15 in Mixed mode becomes an approximate mathematical average among even quite distant populations)

Stuvanè said:

@Angela, I'm roughly in your same conditions as actually using these Eurogenes calculators, but if I have to give a preference between the two, the k13 seems to me in my case a bit more realistic and specific in its oracles, although it works with fewer autosomal components

K13

#	Population	Percent
1	North_Atlantic	28.3
2	East_Med	22.12
3	West_Med	21.48
4	Baltic	13.51
5	West_Asian	9.73
6	Red_Sea	4.38
7	Siberian	0.33
8	Northeast_African	0.16

Single Population Sharing:

#	Population (source)	Distance
1	Tuscan	4.52
2	North_Italian	6.23
3	Greek_Thessaly	9.16
4	Italian_Abruzzo	9.47
5	West_Sicilian	10.14
6	Romanian	11.89
7	Bulgarian	11.93
8	Central_Greek	12.98
9	East_Sicilian	13.55
10	Portuguese	13.73
11	Spanish_Extremadura	13.99
12	Serbian	14.54
13	Spanish_Galicia	14.95
14	Spanish_Murcia	15.05
15	Spanish_Andalucia	15.39
16	South_Italian	15.45
17	Spanish_Valencia	15.66
18	Spanish_Cataluna	15.7
19	Spanish_Castilla_Y_Leon	15.91
20	Ashkenazi	16.22

Mixed Mode Population Sharing:

#		Primary Population (source)	Secondary Population (source)	Distance
1		83.2%	Tuscan	+	16.8%	Hungarian	@	1.4
2		83.5%	Tuscan	+	16.5%	Austrian	@	1.57
3		77.4%	Tuscan	+	22.6%	Serbian	@	1.6
4		87.9%	Tuscan	+	12.1%	South_Polish	@	1.67
5		85.1%	Tuscan	+	14.9%	East_German	@	1.71
6		89.1%	Tuscan	+	10.9%	Polish	@	1.73
7		89.8%	Tuscan	+	10.2%	Southwest_Finnish	@	1.75
8		89.5%	Tuscan	+	10.5%	Ukrainian_Belgorod	@	1.77
9		90.6%	Tuscan	+	9.4%	Finnish	@	1.78
10		89.8%	Tuscan	+	10.2%	Russian_Smolensk	@	1.79
11		90.8%	Tuscan	+	9.2%	Estonian	@	1.8
12		88%	Tuscan	+	12%	Ukrainian_Lviv	@	1.81
13		85.2%	Tuscan	+	14.8%	Croatian	@	1.82
14		90.1%	Tuscan	+	9.9%	Belorussian	@	1.84
15		56.9%	Central_Greek	+	43.1%	French	@	1.85
16		55.8%	East_Sicilian	+	44.2%	French	@	1.87
17		91.1%	Tuscan	+	8.9%	Lithuanian	@	1.87
18		89.6%	Tuscan	+	10.4%	Southwest_Russian	@	1.88
19		89.1%	Tuscan	+	10.9%	North_Swedish	@	1.89
20		88.5%	Tuscan	+	11.5%	Ukrainian	@	1.9

@Pax has indicated it to me several times and he will be able to explain it better than me: in the k15 the North_Sea component and the Atlantic one partially overlap (and perhaps they interfere with each other in a rather unbalanced way, at least for us Italians, making the results significantly change also in the recent oracles). In K13 the problem doesn't arise with the North_Atlantic component which constitutes a more univocal and homogeneous datum

K15

Admix Results (sorted):

#	Population	Percent
1	Atlantic	25.83
2	East_Med	18.93
3	West_Med	16.08
4	North_Sea	11.37
5	West_Asian	10.27
6	Baltic	8.78
7	Red_Sea	4.78
8	Eastern_Euro	3.92
9	Northeast_African	0.04

Single Population Sharing:

#	Population (source)	Distance
1	Tuscan	7.02
2	North_Italian	8.49
3	West_Sicilian	10.28
4	Italian_Abruzzo	10.33
5	Greek	10.94
6	Bulgarian	12.53
7	Spanish_Andalucia	12.82
8	Greek_Thessaly	13.18
9	Spanish_Murcia	13.54
10	Spanish_Extremadura	13.54
11	Romanian	13.66
12	East_Sicilian	13.77
13	Spanish_Valencia	13.79
14	Central_Greek	13.8
15	Spanish_Castilla_Y_Leon	14.39
16	Portuguese	14.59
17	Spanish_Cataluna	14.66
18	Spanish_Castilla_La_Mancha	14.81
19	South_Italian	15.25
20	Serbian	15.36

Mixed Mode Population Sharing:

#		Primary Population (source)	Secondary Population (source)	Distance
1		67.9%	Southwest_French	+	32.1%	Iranian_Jewish	@	4.03
2		63.5%	Southwest_French	+	36.5%	Lebanese_Muslim	@	4.22
3		72.8%	Italian_Abruzzo	+	27.2%	French_Basque	@	4.34
4		68.3%	Southwest_French	+	31.7%	Kurdish_Jewish	@	4.42
5		67%	Southwest_French	+	33%	Assyrian	@	4.45
6		64.6%	Italian_Abruzzo	+	35.4%	Southwest_French	@	4.6
7		65.8%	Central_Greek	+	34.2%	French_Basque	@	4.6
8		63%	Ashkenazi	+	37%	French_Basque	@	4.66
9		73.4%	Spanish_Valencia	+	26.6%	Iranian_Jewish	@	4.7
10		58.5%	Italian_Abruzzo	+	41.5%	Spanish_Valencia	@	4.73
11		72.6%	Spanish_Valencia	+	27.4%	Assyrian	@	4.75
12		71.7%	Greek	+	28.3%	French_Basque	@	4.78
13		73.1%	Spanish_Valencia	+	26.9%	Georgian_Jewish	@	4.82
14		67.7%	Southwest_French	+	32.3%	Lebanese_Druze	@	4.84
15		63.5%	Italian_Abruzzo	+	36.5%	Spanish_Aragon	@	4.92
16		69.5%	Spanish_Valencia	+	30.5%	Lebanese_Muslim	@	4.92
17		61.8%	Greek	+	38.2%	Spanish_Aragon	@	4.97
18		66%	East_Sicilian	+	34%	French_Basque	@	4.97
19		58.9%	Greek	+	41.1%	Spanish_Castilla_La_Mancha	@	4.98
20		56.7%	Italian_Abruzzo	+	43.3%	Spanish_Andalucia	@	5.03

(As you can see my oracle K15 in Mixed mode becomes an approximate mathematical average among even quite distant populations)

Click to expand...

Is that based on 23andme or Ancestry or neither? If 23andme, which version? I have both the v3 and v5. I would like to compare apples to apples.

Angela said:

Is that based on 23andme or Ancestry or neither? If 23andme, which version? I have both the v3 and v5. I would like to compare apples to apples.

Click to expand...

With DNAkit Stuido, you are able to convert the raw data to different formats. All of the Iron Age sample coordinates are in AncestryDNA format.

Angela said:

Is that based on 23andme or Ancestry or neither? If 23andme, which version? I have both the v3 and v5. I would like to compare apples to apples.

Click to expand...

It's based on my 23andme raw data (Genotyping chip: Version 4 - Ancestry Composition v5.2 - Last update august/september 2019)

mlukas said:

K13 Ancient added http://vahaduo.genetics.ovh/k13_ancient-vahaduo.htm

More samples will be added soon.

Click to expand...

I ran R437 (Iron-Age Latin) K36 results in a Oracle Spreadsheet.

... wondering if that’s one of your Programs.

R437 below:

Jovialis said:

@mlukas,

Could you make coordinates for the new Italian regional samples, in Dodecad K12b? It would be much appreciated.

Click to expand...

@mlukas,

I tried making coordinates in Dodecad K12b format for some of the Italian Iron Age samples, but I keep running into an error. I've tried a few times, perhaps I'm doing something wrong?

Example of coordinates:

N_Central_Italian_R2,0.00,0.00,4.44,0.00,53.17,0.00,0.00,0.07,12.60,0.00,29.72

This one works though:
IA_Prenestina__Selicata_R437,6.45,0.00,3.03,0.00,33.19,11.94,0.00,0.00,11.63,0.00,33.74,0.02

Jovialis said:

@mlukas,

I tried making coordinates in Dodecad K12b format for some of the Italian Iron Age samples, but I keep running into an error. I've tried a few times, perhaps I'm doing something wrong?

Example of coordinates:

N_Central_Italian_R2,0.00,0.00,4.44,0.00,53.17,0.00,0.00,0.07,12.60,0.00,29.72

This one works though:
IA_Prenestina__Selicata_R437,6.45,0.00,3.03,0.00,33.19,11.94,0.00,0.00,11.63,0.00,33.74,0.02

Click to expand...

@Angela,

You're right, this verifies that other calculators, in this case Dodecad K12b correctly puts me closer to the Iron Age sample 437, than Eurogenes.

Stuvanè said:

@Angela, I'm roughly in your same conditions as actually using these Eurogenes calculators, but if I have to give a preference between the two, the k13 seems to me in my case a bit more realistic and specific in its oracles, although it works with fewer autosomal components

K13


Single Population Sharing:

#	Population (source)	Distance
1	Tuscan	4.52
2	North_Italian	6.23
3	Greek_Thessaly	9.16
4	Italian_Abruzzo	9.47
5	West_Sicilian	10.14
6	Romanian	11.89
7	Bulgarian	11.93
8	Central_Greek	12.98
9	East_Sicilian	13.55
10	Portuguese	13.73
11	Spanish_Extremadura	13.99
12	Serbian	14.54
13	Spanish_Galicia	14.95
14	Spanish_Murcia	15.05
15	Spanish_Andalucia	15.39
16	South_Italian	15.45
17	Spanish_Valencia	15.66
18	Spanish_Cataluna	15.7
19	Spanish_Castilla_Y_Leon	15.91
20	Ashkenazi	16.22

@Pax has indicated it to me several times and he will be able to explain it better than me: in the k15 the North_Sea component and the Atlantic one partially overlap (and perhaps they interfere with each other in a rather unbalanced way, at least for us Italians, making the results significantly change also in the recent oracles). In K13 the problem doesn't arise with the North_Atlantic component which constitutes a more univocal and homogeneous datum

K15

Admix Results (sorted):

#	Population	Percent
1	Atlantic	25.83
2	East_Med	18.93
3	West_Med	16.08
4	North_Sea	11.37
5	West_Asian	10.27
6	Baltic	8.78
7	Red_Sea	4.78
8	Eastern_Euro	3.92
9	Northeast_African	0.04

Single Population Sharing:

#	Population (source)	Distance
1	Tuscan	7.02
2	North_Italian	8.49
3	West_Sicilian	10.28
4	Italian_Abruzzo	10.33
5	Greek	10.94
6	Bulgarian	12.53
7	Spanish_Andalucia	12.82
8	Greek_Thessaly	13.18
9	Spanish_Murcia	13.54
10	Spanish_Extremadura	13.54
11	Romanian	13.66
12	East_Sicilian	13.77
13	Spanish_Valencia	13.79
14	Central_Greek	13.8
15	Spanish_Castilla_Y_Leon	14.39
16	Portuguese	14.59
17	Spanish_Cataluna	14.66
18	Spanish_Castilla_La_Mancha	14.81
19	South_Italian	15.25
20	Serbian	15.36

(As you can see my oracle K15 in Mixed mode becomes an approximate mathematical average among even quite distant populations)

Click to expand...

OK, 23andme v5. I'm a bit more "matchy" than you to Toscana and North Italian (Bergamo?), but I'm half East Liguria/Tuscan, after all, and maybe more western shifted? My results using the v3 are worse, with again the K15 being worse than the K13.

You have more ancestry from Romagna, though, right? Mine is half Emilian. That might explain why you have closer numbers to Balkan people and I have closer numbers to Spaniards and Portuguese. You're always my closest, though. Emilia-Romagna strong!

K13

K15 v5
K15