Post your Tolan K13 M2 from Admixture Studio

[Coastal Elite]

https://i.imgur.com/W0YaupC.jpg

[Pedro Ruben]

A-West-Europe 59.19%
C-South-Med 22.06%
B-East-Europe 12.98%
E-Arabia 2.70%
K-East-Africa 2.23%
J-West-Africa 0.73%
D-Caucasus 0.10%

[Fiko0]

https://i.imgur.com/737emyE.png

[Rædwald]

https://i.postimg.cc/tCVtQYNm/tolank13m2.png

[alnortedelsur]

Mine (AncestryDNA):

https://i.imgur.com/H2ygN9t.png

[Luke35]

A little Arabia/India on this one, the Tolan calcs all have a little something interesting for me.
https://i.imgur.com/wqKsulv.png

[drewcastle]

Me

A-West-Europe 73,72%
C-South-Med 17,75%
B-East-Europe 7,11%
E-Arabia 1,42%

Gm

A-West-Europe 66,73%
C-South-Med 22,22%
B-East-Europe 10,92%
E-Arabia 0,1%
F-Siberia 0,02%

[whoibe]

A little Arabia/India on this one, the Tolan calcs all have a little something interesting for me.
https://i.imgur.com/wqKsulv.png

And I get 6.70% Indian.. Is there something to it or is this basically like Nigerian on MyHeritage? Though WeGene (yea I know..) does also give me 5.60% Sindhi.

Does Western Europe include Greece/Italy?

Would like to see what others from the Levant get on this.

https://i.imgur.com/IM7p0n7.png

[farke1]

Component %
A-West-Europe 71.05%
B-East-Europe 28.28%
G-Central-Asia 0.34%
D-Caucasus 0.32%

[Borealis]

0.02% A-West-Europe
0.00% B-East-Europe
0.00% C-South-Med
9.77% D-Caucasus
0.03% E-Arabia
0.00% F-Siberia
0.00% G-Central-Asia
90.04% H-India
0.00% I-South-East-Asia
0.14% J-West-Africa
0.00% K-East-Africa
0.00% L-Oceania
0.00% M-East-Asia

[Adamm]

https://i.imgur.com/w0pDdEn.png

[Thambi]

Component %
H-India 94.7%
D-Caucasus 4.43%
E-Arabia 0.87%

[joanna_38]

https://scontent.fath5-1.fna.fbcdn.net/v/t1.0-9/91851606_862493690889910_3072560650837295104_o.jpg ?_nc_cat=106&_nc_sid=730e14&_nc_ohc=9_6dj1kAhU8AX8FwGkE&_nc_ht=scontent.fath5-1.fna&oh=63c0e6f152d113a99ac136b43d3117f5&oe=5EAEABF6
https://scontent.fath5-1.fna.fbcdn.net/v/t1.0-9/91986145_862493737556572_4535796583416987648_o.jpg ?_nc_cat=100&_nc_sid=730e14&_nc_ohc=hGLfRwH9GDcAX9lczWU&_nc_ht=scontent.fath5-1.fna&oh=970227c8ab3fbeb761e64c7af2ef30a5&oe=5EAD449E

[Lucas]

Components %
A-West-Europe 37,45
B-East-Europe 60,20
C-South-Med 0,00
D-Caucasus 2,34
E-Arabia 0,00
F-Siberia 0,00
G-Central-Asia 0,00
H-India 0,00
I-South-East-Asia 0,00
J-West-Africa 0,00
K-East-Africa 0,00
L-Oceania 0,00
M-East-Asia 0,00

[Elias.99]

Component %
A-West-Europe 9,70%
B-East-Europe 0,01%
C-South-Med 39,16%
D-Caucasus 4,94%
E-Arabia 31,25%
F-Siberia 1,34%
G-Central-Asia 0,06%
H-India 3,96%
J-West-Africa 0,21%
K-East-Africa 9,37%

[Rokhan]

https://zupimages.net/up/20/16/nu3f.png (https://zupimages.net/viewer.php?id=20/16/nu3f.png) https://zupimages.net/up/20/16/s77l.png (https://zupimages.net/viewer.php?id=20/16/s77l.png)

[Helen]

Components %

65,25% A-West-Europe
18,82% C-South-Med
8,56% B-East-Europe
7,31% E-Arabia
0,06% D-Caucasus

[Chris596]

These Tolan calcs are perfect to detect all of my recent ancestry. Balkans + Caucasus S T R O N K

East Europe 43.68%
West Europe 31.75%
South Med 5.95%
Caucasus 16.11%
Arabia 1.81%
Central Asia 0.71%


Distance: 4.66
50.60% Serb_Serbia
19.00% Hungarians
15.80% Croat_croatBHCB12
06.00% Bulgarians
05.60% Chechens
03.00% Abhkasians


Mixed Mode:
1 76.17% Serb_Serbia + 23.83% Georgian_GEO10_georgian @ 4.192
2 87.89% Serb_Serbia + 12.11% Chechens @ 4.229
3 89.45% Serb_Serbia + 10.55% Tabassaran_tabassaran4 @ 4.386
4 89.45% Serb_Serbia + 10.55% Tabassaran_tabassaran5 @ 4.475
5 91.80% Serb_Serbia + 8.20% Adygei @ 4.758
6 92.58% Serb_Serbia + 7.42% Ossetian @ 4.774
7 94.14% Serb_Serbia + 5.86% Abhkasians @ 4.812
8 91.80% Serb_Serbia + 8.20% Balkar @ 4.849
9 90.23% Serb_Serbia + 9.77% Tabassaran_tabassaran17 @ 4.899
10 90.23% Serb_Serbia + 9.77% Lezgins @ 4.911

Least-squares method.

Using 1 populations approximation
1 100% Serb_Serbia @ 7.842
2 100% Montenegran @ 9.239
3 100% Hungarians @ 12.056
4 100% Bulgarians @ 12.160
5 100% Serb_Serbian @ 13.088
6 100% Croatian @ 13.318
7 100% Moldavian_moldavian @ 13.660
8 100% Romanians @ 14.786
9 100% Croat_croatBHCB12 @ 14.873
10 100% Macedonian @ 15.874

Using 2 populations approximation
1 50% Hungarians + 50% Bulgarians @ 5.508
2 50% Pole_pole12p + 50% Kosovar @ 5.651
3 50% Bulgarians + 50% Serb_Serbian @ 6.153

Using 3 populations approximation
1 33% German + 33% Chechens + 33% French_Basque @ 5.412
2 33% Serb_Serbia + 33% Hungarians + 33% Bulgarians @ 6.019
3 33% Montenegran + 33% Hungarians + 33% Bulgarians @ 6.073

Using 4 populations approximation
1 25% Italian_N + 25% Italian_N + 25% Tabassaran_tabassaran4 + 25% Finn @ 4.172
2 25% Sweden + 25% Sweden + 25% Sweden + 25% Georgian_GEO10_georgian @ 4.257
3 25% Italian_N + 25% Italian_N + 25% Tabassaran_tabassaran4 + 25% Russian @ 4.429

[Scandal]

...... I am getting Selkups again :lol: I think this software is trolling me because I didn't pay them.

Mixed Mode:
1 66.80% Lithuanians + 33.20% Tuscan @ 1.530
2 71.48% Selkups + 28.52% Tuscan @ 1.936
3 69.14% Pole + 30.86% Tuscan @ 2.213
4 80.86% Pole_Pole + 19.14% Italian_S @ 2.708
5 72.27% Pole_Pole + 27.73% Serb @ 3.111
6 81.64% Pole_Pole + 18.36% Tuscan @ 3.188
7 69.92% Pole_Pole + 30.08% Macedonian @ 3.750
8 75.39% Ukranians + 24.61% Tuscan @ 3.780
9 70.70% Pole_Pole + 29.30% Gagauz @ 3.821
10 82.42% Pole_Pole + 17.58% AshkenazyJews_Romanian_Jew @ 4.340

Least-squares method.

Using 1 populations approximation
1 100% Croat_croatBHCB12 @ 9.365
2 100% Croatian @ 9.945
3 100% Serb_Serbian @ 10.460
4 100% Moldavian_moldavian @ 11.382
5 100% Sweden @ 11.725
6 100% Pole_Pole @ 12.486
7 100% Hungarians @ 15.170
8 100% Pole_pole12p @ 16.013
9 100% Ukranians @ 17.935
10 100% Serb_Serbia @ 18.030

Using 2 populations approximation
1 50% Moldavian_moldavian + 50% Pole_Pole @ 4.471
2 50% Pole_Pole + 50% Serb_Serbia @ 5.486
3 50% French_Basque + 50% Russian @ 6.110
4 50% Croatian + 50% Pole_Pole @ 6.136
5 50% French_Basque + 50% Finn @ 6.251
6 50% French_Basque + 50% Mordovians @ 6.285
7 50% Pole_Pole + 50% Romanians @ 6.451
8 50% Italian_N + 50% Russian @ 6.533
9 50% German + 50% French @ 6.570
10 50% Italian_N + 50% Finn @ 6.649

Using 3 populations approximation
1 33% Lithuanians + 33% Lithuanians + 33% Tuscan @ 1.539
2 33% Pole + 33% Pole + 33% Tuscan @ 3.046
3 33% Selkups + 33% Pole + 33% Tuscan @ 3.575
4 33% Pole_Pole + 33% Pole_Pole + 33% Macedonian @ 3.914
5 33% Sweden + 33% Pole_Pole + 33% Romanians @ 3.930
6 33% Pole_Pole + 33% Pole_Pole + 33% Serb @ 3.958
7 33% Pole_Pole + 33% Pole_Pole + 33% Gagauz @ 4.216
8 33% Selkups + 33% Selkups + 33% Tuscan @ 4.222
9 33% Romanians + 33% Pole + 33% GreatBritain @ 4.393
10 33% Pole_Pole + 33% Pole_Pole + 33% Romanians @ 4.411

Using 4 populations approximation
1 25% Lithuanians + 25% Lithuanians + 25% Gagauz + 25% Orcadian @ 2.050
2 25% Lithuanians + 25% Lithuanians + 25% Gagauz + 25% French @ 2.063
3 25% Selkups + 25% Selkups + 25% GreatBritain + 25% Gagauz @ 2.209
4 25% Lithuanians + 25% Lithuanians + 25% Gagauz + 25% UtahWhite @ 2.293
5 25% Lithuanians + 25% Lithuanians + 25% Serb + 25% Orcadian @ 2.601
6 25% Pole + 25% Pole + 25% GreatBritain + 25% Serb @ 2.825
7 25% Pole + 25% Pole + 25% GreatBritain + 25% Gagauz @ 2.831
8 25% Lithuanians + 25% Lithuanians + 25% Macedonian + 25% Orcadian @ 3.064
9 25% Selkups + 25% Selkups + 25% GreatBritain + 25% Serb @ 3.115
10 25% Lithuanians + 25% Lithuanians + 25% Serb + 25% French @ 3.151

[Luke35]

...... I am getting Selkups again :lol: I think this software is trolling me because I didn't pay them.

I think you're a Selkup! :)

What the heck is a Selkup anyway? Gotta look them up..

[Scandal]

I think you're a Selkup! :)

What the heck is a Selkup anyway? Gotta look them up..

I have nothing to do with them genetically, they're super distant to me on vahaduo k13. They're some native siberian population.

[Luke35]

I have nothing to do with them genetically, they're super distant to me on vahaduo k13. They're some native siberian population.

Yeah, I just looked them up. If you score a large % for them again I will truly believe your computer has been infected with some weird calculator troll.

[17571imre]

Oracle Calculator by www.dnagenics.com
v1.5 07/02/2020

Finished reading population data. 182 populations found.
14 components mode.

--------------------------------


Mixed Mode:
1 62,89% Italian-North + 37,11% Mordovians @ 3,940
2 50,39% Hungarians + 49,61% Macedonian @ 4,538
3 50,39% Macedonian + 49,61% Hungarians @ 4,542
4 66,02% Macedonian + 33,98% Pole @ 4,736
5 63,67% Macedonian + 36,33% Ukranians @ 4,872
6 76,17% Macedonian + 23,83% Belorussian @ 4,948
7 61,33% Hungarians + 38,67% Bulgarians @ 5,114
8 54,30% Tuscan + 45,70% Mordovians @ 5,166
9 62,11% Tuscan + 37,89% Belorussian @ 5,255
10 70,70% Macedonian + 29,30% Mordovians @ 5,260

Least-squares method.

Using 1 populations approximation
1 100% Croatian @ 10,347
2 100% Croat @ 10,359
3 100% Hungarians @ 12,650
4 100% Macedonian @ 12,848
5 100% Romanians @ 14,228
6 100% Moldavian @ 14,343
7 100% UtahWhite @ 15,202
8 100% Montenegran @ 16,676
9 100% German @ 16,753
10 100% Italian-North @ 17,062

Using 2 populations approximation
1 50% Hungarians + 50% Macedonian @ 4,539
2 50% Pole + 50% Tuscan @ 5,607
3 50% Tuscan + 50% Mordovians @ 5,683
4 50% Hungarians + 50% Italian-North @ 5,888
5 50% Ukranians + 50% Tuscan @ 5,901
6 50% Bulgarians + 50% Orcadian @ 5,934
7 50% Kosovar + 50% Pole @ 5,978
8 50% Hungarians + 50% Bulgarians @ 6,119
9 50% Italian-North + 50% Ukranians @ 6,200
10 50% Croat + 50% Macedonian @ 6,312

Using 3 populations approximation
1 33% Italian-North + 33% Italian-North + 33% Mordovians @ 4,272
2 33% Italian-North + 33% Bulgarians + 33% Belorussian @ 4,540
3 33% Italian-North + 33% Bulgarians + 33% Mordovians @ 4,639
4 33% Macedonian + 33% Macedonian + 33% Pole @ 4,742
5 33% Macedonian + 33% Macedonian + 33% Ukranians @ 4,977
6 33% Croat + 33% Hungarians + 33% Bulgarians @ 5,179
7 33% Hungarians + 33% Hungarians + 33% Bulgarians @ 5,363
8 33% Croatian + 33% Hungarians + 33% Macedonian @ 5,364
9 33% Italian-North + 33% Bulgarians + 33% Pole @ 5,379
10 33% Croatian + 33% Hungarians + 33% Bulgarians @ 5,398

Using 4 populations approximation
1 25% Hungarians + 25% Hungarians + 25% Macedonian + 25% Macedonian @ 4,539
2 25% Hungarians + 25% Hungarians + 25% Macedonian + 25% Bulgarians @ 4,556
3 25% Italian-North + 25% Italian-North + 25% Bulgarians + 25% Belorussian @ 4,589
4 25% Hungarians + 25% Hungarians + 25% Macedonian + 25% Italian-North @ 4,851
5 25% Macedonian + 25% Macedonian + 25% Macedonian + 25% Belorussian @ 5,006
6 25% GreatBritain + 25% GreatBritain + 25% Kosovar + 25% Greek @ 5,093
7 25% Kosovar + 25% Kosovar + 25% Orcadian + 25% Pole @ 5,394
8 25% Kosovar + 25% Kosovar + 25% Orcadian + 25% Mordovians @ 5,468
9 25% Italian-North + 25% Italian-North + 25% Sweden + 25% Mordovians @ 5,489
10 25% Macedonian + 25% Macedonian + 25% Macedonian + 25% Mordovians @ 5,554

[Luke35]

I actually get some good results with this one:

Mixed Mode:
1 91.80% GreatBritain + 8.20% Georgian_GEO10_georgian @ 1.731
2 58.20% UtahWhite + 41.80% Serb_Serbian @ 1.734
3 90.23% GreatBritain + 9.77% Tabassaran_tabassaran17 @ 1.794
4 90.23% GreatBritain + 9.77% Lezgins @ 1.856
5 90.23% GreatBritain + 9.77% Tabassaran_tabassaran5 @ 1.917
6 51.17% UtahWhite + 48.83% Hungarians @ 1.923
7 50.39% Hungarians + 49.61% UtahWhite @ 1.958
8 91.80% GreatBritain + 8.20% Balkar @ 1.997
9 91.80% GreatBritain + 8.20% Adygei @ 2.053
10 50.39% French + 49.61% Hungarians @ 2.099

Least-squares method.

Using 1 populations approximation
1 100% GreatBritain @ 8.109
2 100% Orcadian @ 12.230
3 100% UtahWhite @ 13.966
4 100% French @ 14.388
5 100% Hungarians @ 14.490
6 100% Sweden @ 15.202
7 100% Serb_Serbia @ 17.320
8 100% Moldavian_moldavian @ 17.478
9 100% Serb_Serbian @ 19.643
10 100% Macedonian @ 21.045

Using 2 populations approximation
1 50% UtahWhite + 50% Hungarians @ 1.940
2 50% French + 50% Hungarians @ 2.099
3 50% Orcadian + 50% Hungarians @ 2.720
4 50% UtahWhite + 50% Serb_Serbian @ 3.338
5 50% UtahWhite + 50% Moldavian_moldavian @ 3.344
6 50% French + 50% Serb_Serbian @ 3.459
7 50% French + 50% Moldavian_moldavian @ 3.830
8 50% Orcadian + 50% Serb_Serbia @ 4.440
9 50% Orcadian + 50% Moldavian_moldavian @ 4.724
10 50% UtahWhite + 50% Serb_Serbia @ 4.782

Using 3 populations approximation
1 33% GreatBritain + 33% UtahWhite + 33% Hungarians @ 2.780
2 33% GreatBritain + 33% UtahWhite + 33% Serb_Serbia @ 2.997
3 33% Orcadian + 33% UtahWhite + 33% Serb_Serbian @ 3.045
4 33% GreatBritain + 33% UtahWhite + 33% Serb_Serbian @ 3.193
5 33% UtahWhite + 33% UtahWhite + 33% Serb_Serbian @ 3.221
6 33% GreatBritain + 33% Orcadian + 33% Serb_Serbia @ 3.265
7 33% Orcadian + 33% French + 33% Serb_Serbian @ 3.385
8 33% UtahWhite + 33% French + 33% Serb_Serbian @ 3.389
9 33% GreatBritain + 33% UtahWhite + 33% Moldavian_moldavian @ 3.422
10 33% GreatBritain + 33% Orcadian + 33% Hungarians @ 3.525

Using 4 populations approximation
1 25% UtahWhite + 25% UtahWhite + 25% Hungarians + 25% Moldavian_moldavian @ 1.861
2 25% UtahWhite + 25% UtahWhite + 25% Hungarians + 25% Serb_Serbian @ 1.939
3 25% UtahWhite + 25% UtahWhite + 25% Hungarians + 25% Hungarians @ 1.940
4 25% French + 25% French + 25% Hungarians + 25% Hungarians @ 2.099
5 25% French + 25% French + 25% Hungarians + 25% Serb_Serbian @ 2.120
6 25% French + 25% French + 25% Hungarians + 25% Moldavian_moldavian @ 2.351
7 25% UtahWhite + 25% UtahWhite + 25% Hungarians + 25% Serb_Serbia @ 2.445
8 25% UtahWhite + 25% UtahWhite + 25% Hungarians + 25% Croatian @ 2.840
9 25% French + 25% French + 25% Hungarians + 25% Serb_Serbia @ 2.898
10 25% UtahWhite + 25% UtahWhite + 25% Hungarians + 25% Croat_croatBHCB12 @ 3.035