Post Gedrosia K3 results

**kush** · 09-30-2018, 08:07 AM

This is actually a decent calc for south asians imo.

Admix Results (sorted):

# Population Percent
1 W_Eurasian 56.21
2 E_Eurasian 41.59
3 SSA 2.20

Finished reading population data. 129 populations found.
3 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Kanjar @ 0.699227
2 UP_Muslim @ 1.115157
3 Malli @ 1.487756
4 Velama @ 1.597507
5 GujaratiD @ 1.691982
6 Hazara_Afghan @ 2.706728
7 UP_Kol @ 3.176677
8 UP_Caste @ 4.348033
9 Uzbek @ 4.582816
10 Kurumba @ 4.671978
11 Jains @ 5.484818
12 Turkmen_Afghan @ 5.648418
13 Tamil_Brahmin @ 6.154799
14 GujaratiC @ 6.214738
15 Meghawal @ 6.642073
16 Punjabi @ 7.406503
17 Piramalai @ 7.574145
18 Tharu @ 7.820891
19 Kallar @ 7.831869
20 Bhil @ 8.008797

Using 2 populations approximation:
1 50% Balkar +50% Great_Andamanese @ 0.000000
2 50% Balkar +50% Kharia @ 0.000000
3 50% Hazara +50% Kurd_SE @ 0.000000
4 50% Kattunayakkan +50% Tajik @ 0.000000
5 50% Madiga +50% Tajik_Afghan @ 0.000000
6 50% Nihali +50% Pashtun_Afghan @ 0.000000
7 50% Piramalai +50% Punjabi @ 0.000000
8 50% Punjabi +50% Tharu @ 0.267754
9 50% GujaratiD +50% Malli @ 0.297966
10 50% GujaratiD +50% Velama @ 0.314434
11 50% Hallkipiki +50% Turkmen @ 0.331683
12 50% Kanjar +50% Malli @ 0.342854
13 50% Jains +50% Kurumba @ 0.364902
14 50% Meghawal +50% Piramalai @ 0.461785
15 50% Kattunayakkan +50% Pathan @ 0.530283
16 50% Mala +50% Turkmen @ 0.562641
17 50% Madiga +50% Turkmen @ 0.564971
18 50% UP_Chamar +50% Vaish @ 0.576864
19 50% Paniyas +50% Tajik_Pomiri @ 0.582244
20 50% Meghawal +50% Tharu @ 0.586035

Using 3 populations approximation:
1 50% Adygei +25% Altaian +25% Onge @ 0.000000

**Lollybolly** · 09-30-2018, 08:20 AM

Admix Results (sorted):

# Population Percent
1 W_Eurasian 72.48
2 E_Eurasian 26.06
3 SSA 1.46

Finished reading population data. 129 populations found.
3 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Tajik @ 1.518669
2 Pathan @ 2.363220
3 Sindhi @ 2.446696
4 Kurd_SE @ 3.622558
5 Pashtun_Afghan @ 3.669618
6 GujaratiA @ 5.191884
7 Kalash @ 5.306818
8 Kshatriya @ 5.314025
9 Kashmiri_Pandit @ 6.880676
10 Uzbek_Afghan @ 7.036523
11 Tajik_Afghan @ 8.825842
12 Turkmen @ 9.339213
13 Balochi @ 9.511446
14 Tajik_Pomiri @ 9.921263
15 Brahui @ 9.934793
16 GujaratiB @ 10.619851
17 UP_Brahmin @ 10.677699
18 Burusho @ 10.732392
19 Makrani @ 12.697333
20 Vaish @ 13.305127

Using 2 populations approximation:
1 50% Abkhasian +50% Kallar @ 0.000000
2 50% Albanian +50% Mala @ 0.000000
3 50% Bulgarian +50% Kamsali @ 0.000000
4 50% Bulgarian +50% UP_Chamar @ 0.000000
5 50% Chenchu +50% English @ 0.000000
6 50% Chenchu +50% French_South @ 0.000000
7 50% English +50% Hallkipiki @ 0.000000
8 50% English +50% Mala @ 0.000000
9 50% Estonian +50% Piramalai @ 0.000000
10 50% Estonian +50% Tharu @ 0.000000
11 50% French +50% Hallkipiki @ 0.000000
12 50% French +50% Mala @ 0.000000
13 50% Pathan +50% Sindhi @ 0.000000
14 50% Belarusian +50% Tharu @ 0.257545
15 50% Abkhasian +50% Piramalai @ 0.261232
16 50% Chechen +50% Kurumba @ 0.263031
17 50% Georgian +50% UP_Chamar @ 0.271301
18 50% Armenian +50% Bengali @ 0.272331
19 50% Bhil +50% Estonian @ 0.276267
20 50% Abkhasian +50% Tharu @ 0.288460

Using 3 populations approximation:
1 50% Abkhasian +25% Ashkenazi_Jew +25% Changapa @ 0.000000

**misanthropy** · 09-30-2018, 09:01 AM

misanthropy (V4)

misanthropy_brother (V5)

**FrostAssassin0701** · 09-30-2018, 10:28 PM

Me:

Mom:

**jortita** · 10-01-2018, 03:27 AM

Ancestry DNA

Admix Results (sorted):

# Population Percent
1 E_Eurasian 49.84
2 W_Eurasian 47.46
3 SSA 2.70

Finished reading population data. 129 populations found.
3 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Mala @ 0.814696
2 Hallkipiki @ 1.016621
3 Chenchu @ 1.232576
4 Kamsali @ 1.241077
5 UP_Chamar @ 1.891818
6 Madiga @ 2.528343
7 Bengali @ 2.564753
8 Bhil @ 4.032815
9 Kallar @ 4.224843
10 Tharu @ 4.233104
11 Piramalai @ 4.492671
12 Irula @ 7.254822
13 Kurumba @ 7.384276
14 UP_Caste @ 7.920562
15 Uzbek @ 8.125026
16 UP_Kol @ 9.012944
17 Hazara @ 9.066098
18 Velama @ 10.538377
19 Malli @ 10.859909
20 Hazara_Afghan @ 11.079256

Using 2 populations approximation:
1 50% Bengali +50% Madiga @ 0.000000
2 50% Birhor +50% Kshatriya @ 0.000000
3 50% GujaratiD +50% Nihali @ 0.000000
4 50% Hallkipiki +50% Kamsali @ 0.000000
5 50% Kattunayakkan +50% UP_Muslim @ 0.000000
6 50% Madiga +50% UP_Chamar @ 0.263145
7 50% Great_Andamanese +50% GujaratiA @ 0.281235
8 50% Paniyas +50% Punjabi @ 0.323609
9 50% Irula +50% UP_Caste @ 0.327438
10 50% Kanjar +50% Kattunayakkan @ 0.327782
11 50% Irula +50% Kurumba @ 0.366056
12 50% Chenchu +50% Kamsali @ 0.430442
13 50% Kamsali +50% Mala @ 0.457854
14 50% Hallkipiki +50% UP_Chamar @ 0.524049
15 50% Great_Andamanese +50% Kshatriya @ 0.541752
16 50% Birhor +50% GujaratiA @ 0.547621
17 50% Gond +50% Meghawal @ 0.572763
18 50% Kamsali +50% Madiga @ 0.597536
19 50% Kattunayakkan +50% Velama @ 0.601222
20 50% Bhumij +50% Turkmen @ 0.606946

Using 3 populations approximation:
1 50% Altaian +25% Bengali +25% Saudi @ 0.000000

Living DNA

Admix Results (sorted):

# Population Percent
1 E_Eurasian 49.04
2 W_Eurasian 48.75
3 SSA 2.21

9187 SNPs used in this evaluation

Finished reading population data. 129 populations found.
3 components mode.

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

Least-squares method.

Using 1 population approximation:
1 UP_Chamar @ 0.000000
2 Kamsali @ 0.378221
3 Bengali @ 1.201008
4 Mala @ 2.281634
5 Bhil @ 2.534086
6 Hallkipiki @ 2.560965
7 Chenchu @ 2.614486
8 Kallar @ 2.708108
9 Tharu @ 2.842707
10 Piramalai @ 3.118415
11 Madiga @ 4.119745
12 Kurumba @ 5.931555
13 UP_Caste @ 6.360187
14 Uzbek @ 6.537503
15 UP_Kol @ 7.471966
16 Irula @ 8.807931
17 Velama @ 9.017133
18 Malli @ 9.419563
19 Hazara_Afghan @ 9.495484
20 UP_Muslim @ 9.975647

Using 2 populations approximation:
1 50% Bhil +50% Chenchu @ 0.000000
2 50% Bhil +50% Mala @ 0.000000
3 50% Bhumij +50% GujaratiA @ 0.000000
4 50% Chenchu +50% Kallar @ 0.000000
5 50% Hallkipiki +50% Kallar @ 0.000000
6 50% Iraqi_Jew +50% Nganasan @ 0.000000
7 50% Iraqi_Jew +50% Tibet-refugees @ 0.000000
8 50% Kallar +50% Mala @ 0.000000
9 50% Kamsali +50% UP_Chamar @ 0.000000
10 50% Nihali +50% Turkmen_Afghan @ 0.000000
11 50% UP_Chamar +50% UP_Chamar @ 0.000000
12 50% Jains +50% Nihali @ 0.299309
13 50% Bhil +50% Hallkipiki @ 0.308446
14 50% Chenchu +50% Tharu @ 0.335845
15 50% Kamsali +50% Kamsali @ 0.378221
16 50% Bengali +50% Kamsali @ 0.457904
17 50% Bhumij +50% Kshatriya @ 0.477345
18 50% Hazara_Afghan +50% Irula @ 0.495401
19 50% Chenchu +50% Piramalai @ 0.500763
20 50% Ashkenazi_Jew +50% Tibet-refugees @ 0.532785

Using 3 populations approximation:
1 50% Altaian +25% Hazara_Afghan +25% Syrian @ 0.000000

**Raza94** · 10-01-2018, 03:28 AM

V3:
Admix Results (sorted):

# Population Percent
1 W_Eurasian 67.65
2 E_Eurasian 31.54

Finished reading population data. 129 populations found.
3 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Uzbek_Afghan @ 0.332504
2 Kashmiri_Pandit @ 0.592493
3 Tajik_Afghan @ 1.482466
4 Turkmen @ 2.045841
5 GujaratiA @ 2.134327
6 Kshatriya @ 2.234997
7 GujaratiB @ 3.319510
8 UP_Brahmin @ 3.353673
9 Burusho @ 3.412805
10 Sindhi @ 5.038687
11 Vaish @ 6.141569
12 Kurd_SE @ 6.237384
13 Punjabi @ 7.904769
14 Tajik @ 8.185539
15 Meghawal @ 8.654766
16 GujaratiC @ 9.182417
17 Tamil_Brahmin @ 9.195953
18 Pathan @ 9.516154
19 Jains @ 9.840234
20 Turkmen_Afghan @ 9.915942

Using 2 populations approximation:
1 50% GujaratiA +50% Tajik_Afghan @ 0.000000
2 50% GujaratiA +50% Turkmen @ 0.000000
3 50% GujaratiC +50% Pathan @ 0.000000
4 50% Pathan +50% Tamil_Brahmin @ 0.000000
5 50% Pathan +50% Turkmen_Afghan @ 0.000000
6 50% Punjabi +50% Tajik @ 0.000000
7 50% Jains +50% Pathan @ 0.259256
8 50% Uzbek_Afghan +50% Uzbek_Afghan @ 0.332504
9 50% Hazara +50% Kurd_N @ 0.335495
10 50% Tajik_Pomiri +50% Velama @ 0.372023
11 50% Meghawal +50% Tajik @ 0.414648
12 50% Kshatriya +50% Tajik_Afghan @ 0.470280
13 50% Pashtun_Afghan +50% Turkmen_Afghan @ 0.481320
14 50% Kashmiri_Pandit +50% Uzbek_Afghan @ 0.490073
15 50% Tajik +50% Tamil_Brahmin @ 0.507627
16 50% GujaratiC +50% Tajik @ 0.511137
17 50% Kashmiri_Pandit +50% Tajik_Afghan @ 0.532107
18 50% Jains +50% Pashtun_Afghan @ 0.543119
19 50% Tajik_Afghan +50% Uzbek_Afghan @ 0.590476
20 50% Kashmiri_Pandit +50% Kashmiri_Pandit @ 0.592493

Using 3 populations approximation:
1 50% Abkhasian +25% Altaian +25% GujaratiD @ 0.000000

V5:
Admix Results (sorted):

# Population Percent
1 W_Eurasian 64.58
2 E_Eurasian 32.63
3 SSA 2.78

Finished reading population data. 129 populations found.
3 components mode.

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

Least-squares method.

Using 1 population approximation:
1 GujaratiB @ 2.229580
2 Turkmen @ 2.297508
3 Burusho @ 2.498780
4 UP_Brahmin @ 2.544359
5 Tajik_Afghan @ 3.050838
6 Vaish @ 3.279091
7 Uzbek_Afghan @ 4.223906
8 Kashmiri_Pandit @ 4.441440
9 Kshatriya @ 5.108391
10 Punjabi @ 5.308671
11 GujaratiA @ 5.543650
12 Meghawal @ 5.774216
13 Tamil_Brahmin @ 6.575454
14 GujaratiC @ 6.644421
15 Jains @ 7.111937
16 Turkmen_Afghan @ 7.483656
17 Sindhi @ 7.912695
18 Kurd_SE @ 8.090679
19 GujaratiD @ 10.644311
20 Tajik @ 11.479459

Using 2 populations approximation:
1 50% Balochi +50% Piramalai @ 0.000000
2 50% Bhil +50% Brahui @ 0.000000
3 50% Brahui +50% Kallar @ 0.000000
4 50% Brahui +50% Tharu @ 0.000000
5 50% Bulgarian +50% Paniyas @ 0.000000
6 50% Kurd_N +50% Nihali @ 0.000000
7 50% Balochi +50% Kallar @ 0.254379
8 50% Balochi +50% Tharu @ 0.259521
9 50% Brahui +50% Piramalai @ 0.263787
10 50% Balochi +50% Bhil @ 0.286980
11 50% Irula +50% Turkish @ 0.304058
12 50% Norwegian +50% Paniyas @ 0.353012
13 50% Gond +50% Sicilian @ 0.446973
14 50% Croatian +50% Paniyas @ 0.482679
15 50% Czech +50% Paniyas @ 0.490761
16 50% Hungarian +50% Paniyas @ 0.546567
17 50% Jains +50% Kurd_SE @ 0.584035
18 50% Albanian +50% Paniyas @ 0.593525
19 50% Cypriot +50% Gond @ 0.619245
20 50% Lithuanian +50% Paniyas @ 0.622045

Using 3 populations approximation:
1 50% Abkhasian +25% Kurumba +25% Onge @ 0.000000

**jortita** · 10-01-2018, 03:29 AM

Geno 2.0/FTDNA

Admix Results (sorted):

# Population Percent
1 W_Eurasian 49.14
2 E_Eurasian 48.61
3 SSA 2.25

Finished reading population data. 129 populations found.
3 components mode.

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

Least-squares method.

Using 1 population approximation:
1 UP_Chamar @ 0.317780
2 Kamsali @ 0.956035
3 Bengali @ 1.205066
4 Bhil @ 1.955474
5 Kallar @ 2.129986
6 Tharu @ 2.273999
7 Piramalai @ 2.550847
8 Mala @ 2.856977
9 Hallkipiki @ 3.119167
10 Chenchu @ 3.191946
11 Madiga @ 4.632582
12 Kurumba @ 5.351894
13 UP_Caste @ 5.796571
14 Uzbek @ 5.995949
15 UP_Kol @ 6.901478
16 Velama @ 8.442492
17 Malli @ 8.839911
18 Hazara_Afghan @ 8.948861
19 Irula @ 9.370586
20 UP_Muslim @ 9.405080

Using 2 populations approximation:
1 50% Gond +50% GujaratiB @ 0.000000
2 50% GujaratiC +50% Nihali @ 0.000000
3 50% Iraqi_Jew +50% Mongola @ 0.000000
4 50% Irula +50% UP_Muslim @ 0.000000
5 50% Nihali +50% Tamil_Brahmin @ 0.000000
6 50% Kallar +50% Mala @ 0.305191
7 50% Burusho +50% Gond @ 0.312811
8 50% UP_Chamar +50% UP_Chamar @ 0.317780
9 50% Kharia +50% Tajik @ 0.328121
10 50% Jains +50% Nihali @ 0.334866
11 50% Gond +50% UP_Brahmin @ 0.336011
12 50% Nihali +50% Turkmen_Afghan @ 0.346809
13 50% Bhil +50% Mala @ 0.397141
14 50% Hallkipiki +50% Kallar @ 0.440117
15 50% Bhumij +50% GujaratiA @ 0.490484
16 50% Bhil +50% Kamsali @ 0.500119
17 50% Chenchu +50% Kallar @ 0.531161
18 50% Mala +50% Piramalai @ 0.545942
19 50% Chenchu +50% Piramalai @ 0.555365
20 50% Iraqi_Jew +50% Nganasan @ 0.557056

Using 3 populations approximation:
1 50% Altaian +25% Hazara_Afghan +25% Lebanese @ 0.000000

Myheritage DNA

Admix Results (sorted):

# Population Percent
1 E_Eurasian 49.25
2 W_Eurasian 48.46
3 SSA 2.29

Finished reading population data. 129 populations found.
3 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Kamsali @ 0.000000
2 UP_Chamar @ 0.627263
3 Bengali @ 1.452222
4 Mala @ 1.920596
5 Hallkipiki @ 2.191359
6 Chenchu @ 2.255409
7 Bhil @ 2.890652
8 Kallar @ 3.066462
9 Tharu @ 3.171915
10 Piramalai @ 3.445458
11 Madiga @ 3.757351
12 Kurumba @ 6.280770
13 UP_Caste @ 6.728136
14 Uzbek @ 6.907146
15 UP_Kol @ 7.837494
16 Irula @ 8.439294
17 Velama @ 9.379925
18 Malli @ 9.768212
19 Hazara_Afghan @ 9.865214
20 Hazara @ 9.977206

Using 2 populations approximation:
1 50% Bhil +50% Chenchu @ 0.000000
2 50% Kamsali +50% Kamsali @ 0.000000
3 50% Iraqi_Jew +50% Tibet-refugees @ 0.254330
4 50% Kamsali +50% UP_Chamar @ 0.274628
5 50% Gond +50% Vaish @ 0.334820
6 50% Bhumij +50% Kashmiri_Pandit @ 0.343262
7 50% Bhil +50% Hallkipiki @ 0.382935
8 50% Iraqi_Jew +50% Nganasan @ 0.396179
9 50% Chenchu +50% Kallar @ 0.405565
10 50% Irula +50% UP_Kol @ 0.407040
11 50% Hallkipiki +50% Kallar @ 0.415535
12 50% Bhumij +50% GujaratiA @ 0.451988
13 50% Bhumij +50% Uzbek_Afghan @ 0.459156
14 50% Bhil +50% Mala @ 0.493938
15 50% Chenchu +50% Tharu @ 0.505966
16 50% Kallar +50% Mala @ 0.576249
17 50% Nihali +50% Turkmen_Afghan @ 0.580447
18 50% Kurd_C +50% Thai @ 0.587187
19 50% Bhumij +50% Kshatriya @ 0.614912
20 50% Jains +50% Nihali @ 0.620883

Using 3 populations approximation:
1 50% Altaian +25% Lebanese +25% UP_Caste @ 0.000000

**Censored** · 10-01-2018, 03:33 AM

# Population Percent
1 W_Eurasian 56.93
2 E_Eurasian 41.78
3 SSA 1.30

Finished reading population data. 129 populations found.
3 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Kanjar @ 0.428044
2 UP_Muslim @ 0.987147
3 GujaratiD @ 1.503657
4 Velama @ 2.017636
5 Hazara_Afghan @ 2.121785
6 Malli @ 2.545249
7 UP_Kol @ 3.498558
8 UP_Caste @ 4.623128
9 Uzbek @ 4.657471
10 Turkmen_Afghan @ 4.990996
11 Jains @ 5.002861
12 Kurumba @ 5.284332
13 Tamil_Brahmin @ 5.636849
14 GujaratiC @ 5.660716
15 Meghawal @ 6.271679
16 Punjabi @ 6.934950
17 Piramalai @ 8.133915
18 Kallar @ 8.285875
19 Tharu @ 8.362281
20 Bhil @ 8.481483

Using 2 populations approximation:
1 50% Burusho +50% Kamsali @ 0.000000
2 50% Chenchu +50% Tajik_Afghan @ 0.000000
3 50% GujaratiD +50% Hazara_Afghan @ 0.000000
4 50% Jains +50% UP_Caste @ 0.000000
5 50% Kamsali +50% UP_Brahmin @ 0.000000
6 50% Mala +50% Tajik_Afghan @ 0.000000
7 50% Turkmen_Afghan +50% UP_Caste @ 0.292754
8 50% GujaratiB +50% Kamsali @ 0.315196
9 50% Kurumba +50% Turkmen_Afghan @ 0.321744
10 50% Burusho +50% UP_Chamar @ 0.331028
11 50% UP_Brahmin +50% UP_Chamar @ 0.340443
12 50% Hallkipiki +50% Tajik_Afghan @ 0.343646
13 50% Jains +50% Uzbek @ 0.365468
14 50% Spanish +50% Yukagir @ 0.381730
15 50% Spanish +50% Yukagir @ 0.381730
16 50% Gond +50% Tajik_Pomiri @ 0.398196
17 50% GujaratiB +50% UP_Chamar @ 0.417225
18 50% Kanjar +50% Kanjar @ 0.428044
19 50% GujaratiD +50% UP_Muslim @ 0.488821
20 50% Tamil_Brahmin +50% UP_Caste @ 0.506875

Using 3 populations approximation:
1 50% Abkhasian +25% Birhor +25% Sherpa @ 0.000000

**Censored** · 10-01-2018, 03:37 AM

Anybody know how much East and West Eurasian the 3 main ancestral components of S. Asia are?

**Zuran** · 10-01-2018, 04:58 AM

Code:

Admix Results (sorted):

#	Population	Percent
1	W_Eurasian	71.78
2	E_Eurasian	27.97


Finished reading population data. 129 populations found.
3 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Sindhi @ 2.007721
2 Tajik @ 2.735718
3 GujaratiA @ 3.423870
4 Kshatriya @ 3.872165
5 Pathan @ 4.133490
6 Kurd_SE @ 4.352268
7 Kashmiri_Pandit @ 4.944056
8 Uzbek_Afghan @ 5.131042
9 Pashtun_Afghan @ 5.451097
10 Kalash @ 6.892543
11 Tajik_Afghan @ 6.930772
12 Turkmen @ 7.544404
13 GujaratiB @ 8.805692
14 UP_Brahmin @ 8.815289
15 Burusho @ 8.878592
16 Vaish @ 11.615586
17 Tajik_Pomiri @ 11.663891
18 Balochi @ 11.675849
19 Brahui @ 12.103624
20 Punjabi @ 13.382825

Using 2 populations approximation:
1 50% Balkar +50% Hazara_Afghan @ 0.000000
2 50% Kalash +50% Tajik_Afghan @ 0.000000
3 50% Mordovian +50% Uzbek @ 0.000000
4 50% Finnish +50% Uzbek @ 0.271851
5 50% Bengali +50% Loschbour @ 0.493489
6 50% Kalash +50% Turkmen @ 0.504160
7 50% Kashmiri_Pandit +50% Pashtun_Afghan @ 0.527012
8 50% Russian +50% Uzbek @ 0.531715
9 50% Pashtun_Afghan +50% Uzbek_Afghan @ 0.542315
10 50% Mordovian +50% UP_Caste @ 0.593403
11 50% GujaratiA +50% Tajik @ 0.628817
12 50% Finnish +50% UP_Caste @ 0.648440
13 50% Kashmiri_Pandit +50% Pathan @ 0.654630
14 50% Russian +50% UP_Kol @ 0.714752
15 50% Hazara +50% Stuttgart @ 0.721986
16 50% Finnish +50% UP_Kol @ 0.751376
17 50% Pathan +50% Uzbek_Afghan @ 0.756006
18 50% Russian +50% UP_Caste @ 0.783832
19 50% Mordovian +50% UP_Kol @ 0.809904
20 50% Bengali +50% Estonian @ 0.814231


Using 3 populations approximation:
1 50% Abkhasian +25% Abkhasian +25% Mongola @ 0.000000

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