Uyghur Gedmatch results

[Sora]

Kit number: T810397

Dodecad k12b

Admix Results (sorted):

# Population Percent
1 East_Asian 31.29
2 Gedrosia 19.64
3 Siberian 13.24
4 North_European 13.17
5 Caucasus 8.22
6 South_Asian 5.64
7 Southeast_Asian 4.92
8 Atlantic_Med 2.63


Finished reading population data. 223 populations found.
12 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Uygur_HGDP @ 4.602552
2 Hazara_HGDP @ 6.813980
3 Uzbeks_Behar @ 12.450136
4 Tajiks_Yunusbayev @ 30.928646
5 Altai_Rasmussen @ 31.474096
6 Mongol_Rasmussen @ 31.847820
7 Brahmins_from_Uttaranchal_Metspalu @ 32.689449
8 Turkmens_Yunusbayev @ 33.887741
9 Nogais_Yunusbayev @ 37.370499
10 Burusho_HGDP @ 39.884449
11 Mongola_HGDP @ 42.098686
12 Burmanese_Chaubey @ 42.338013
13 Tuva_Rasmussen @ 42.858463
14 Buryat_Rasmussen @ 42.947578
15 Tu_HGDP @ 43.749992
16 Garo_Chaubey @ 44.264156
17 Pathan_HGDP @ 45.348442
18 Xibo_HGDP @ 45.394485
19 Oroqen_HGDP @ 45.484436
20 Hezhen_HGDP @ 45.645794

Using 2 populations approximation:
1 50% Hazara_HGDP +50% Uygur_HGDP @ 4.126546


Using 3 populations approximation:
1 50% Hazara_HGDP +25% Uygur_HGDP +25% Uygur_HGDP @ 4.126546

Harappaworld


# Population Percent
1 NE-Asian 31.16
2 Baloch 17.54
3 Siberian 13.61
4 NE-Euro 12.25
5 Caucasian 10.44
6 S-Indian 5.98
7 Mediterranean 2.63
8 Beringian 2.10
9 American 1.80

Finished reading population data. 377 populations found.
16 components mode.

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

Least-squares method.

Using 1 population approximation:
1 uyghur_hgdp @ 3.775974
2 hazara_hgdp @ 7.626536
3 uzbek_behar @ 13.284202
4 kazakh_harappa @ 17.536949
5 kyrgyz_xing @ 18.928459
6 kyrgyz_hodoglugil @ 19.571688
7 altaian_rasmussen @ 28.995224
8 mongolian_rasmussen @ 29.957287
9 tajik_yunusbayev @ 31.625351
10 brahmin-uttaranchal_metspalu @ 31.632338
11 nepalese-c_xing @ 31.726643
12 nepalese-b_xing @ 32.598362
13 turkmen_yunusbayev @ 32.685497
14 nogai_yunusbayev @ 35.093822
15 burmanese_chaubey @ 38.377636
16 burusho_hgdp @ 39.210442
17 pashtun_harappa @ 39.385345
18 mongola_hgdp @ 39.842892
19 buryat_xing @ 40.489014
20 tuvinian_rasmussen @ 40.494080

Using 2 populations approximation:
1 50% uyghur_hgdp +50% uyghur_hgdp @ 3.775974


Using 3 populations approximation:
1 50% uyghur_hgdp +25% uyghur_hgdp +25% uyghur_hgdp @ 3.775974


Eurogenes k13

Admix Results (sorted):

# Population Percent
1 East_Asian 23.80
2 Siberian 21.97
3 West_Asian 17.76
4 South_Asian 10.96
5 Baltic 9.17
6 North_Atlantic 8.85
7 East_Med 2.97
8 Amerindian 2.62


Finished reading population data. 204 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Uygur @ 3.345989
2 Hazara @ 8.411721
3 Aghan_Hazara @ 9.716613
4 Uzbeki @ 10.711154
5 Afghan_Turkmen @ 16.169384
6 Kazakh @ 17.514034
7 Kirgiz @ 18.308397
8 Nogay @ 24.966286
9 Shors @ 26.850807
10 Afghan_Tadjik @ 27.911484
11 Hakas @ 27.918325
12 Altaian @ 30.004461
13 Tadjik @ 30.266191
14 Turkmen @ 30.913511
15 Mongolian @ 31.650040
16 Tatar @ 36.858673
17 Tuvinian @ 39.094582
18 Afghan_Pashtun @ 39.487976
19 Burusho @ 41.088898
20 Kumyk @ 41.710152

Using 2 populations approximation:
1 50% Uygur +50% Uygur @ 3.345989


Using 3 populations approximation:
1 50% Uygur +25% Uygur +25% Uygur @ 3.345989

[SharpFork]

I wonder how Tocharian looked.

[Bellbeaking]

Can you post more 2 and 4 population oracle fits? I think this would interesting for a Eurasian Person.

[Sora]

Can you post more 2 and 4 population oracle fits? I think this would interesting for a Eurasian Person.

From Dodecad k12b

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 95.9% Uygur (HGDP) + 4.1% Brahui (HGDP) @ 3.25
2 95.9% Uygur (HGDP) + 4.1% Balochi (HGDP) @ 3.42
3 95.7% Uygur (HGDP) + 4.3% Sindhi (HGDP) @ 3.46
4 96% Uygur (HGDP) + 4% Makrani (HGDP) @ 3.51
5 59.8% Tajiks (Yunusbayev) + 40.2% Hezhen (HGDP) @ 3.51
6 95.7% Uygur (HGDP) + 4.3% Jatt (Dodecad) @ 3.53
7 72.9% Uygur (HGDP) + 27.1% Hazara (HGDP) @ 3.55
8 94.8% Uygur (HGDP) + 5.2% Burusho (HGDP) @ 3.57
9 96.6% Uygur (HGDP) + 3.4% Iyer (Dodecad) @ 3.6
10 96.8% Uygur (HGDP) + 3.2% Iyengar (Dodecad) @ 3.66
11 96.7% Uygur (HGDP) + 3.3% Indian (Dodecad) @ 3.66
12 96.6% Uygur (HGDP) + 3.4% Kshatriya (Metspalu) @ 3.66
13 96.7% Uygur (HGDP) + 3.3% Brahmins_from_Tamil_Nadu (Metspalu) @ 3.67
14 97% Uygur (HGDP) + 3% GIH30 (Dodecad) @ 3.68
15 96.5% Uygur (HGDP) + 3.5% Brahmins_from_Uttar_Pradesh (Metspalu) @ 3.69
16 97% Uygur (HGDP) + 3% INS30 (SGVP) @ 3.7
17 97.2% Uygur (HGDP) + 2.8% Velamas (Metspalu) @ 3.71
18 97.1% Uygur (HGDP) + 2.9% Dharkars (Metspalu) @ 3.71
19 97.1% Uygur (HGDP) + 2.9% Kanjars (Metspalu) @ 3.72
20 97.1% Uygur (HGDP) + 2.9% Muslim (Metspalu) @ 3.74

Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++
1 Altai_Rasmussen + Naga_Metspalu + Tajiks_Yunusbayev + Tajiks_Yunusbayev @ 2.842140
2 Mongol_Rasmussen + Tajiks_Yunusbayev + Tajiks_Yunusbayev + Tu_HGDP @ 3.627042
3 Hazara_HGDP + Mongola_HGDP + Tajiks_Yunusbayev + Uzbeks_Behar @ 3.827588
4 Hazara_HGDP + Uygur_HGDP + Uygur_HGDP + Uygur_HGDP @ 3.860384
5 Hazara_HGDP + Tajiks_Yunusbayev + Tu_HGDP + Uzbeks_Behar @ 3.897095
6 Mongol_Rasmussen + Naga_Metspalu + Tajiks_Yunusbayev + Tajiks_Yunusbayev @ 4.005535
7 Altai_Rasmussen + Korean_Dodecad + Tajiks_Yunusbayev + Tajiks_Yunusbayev @ 4.116577
8 Hazara_HGDP + Hazara_HGDP + Uygur_HGDP + Uygur_HGDP @ 4.126546
9 Altai_Rasmussen + Tajiks_Yunusbayev + Tajiks_Yunusbayev + Tu_HGDP @ 4.196899
10 Hazara_HGDP + Mongola_HGDP + Tajiks_Yunusbayev + Uygur_HGDP @ 4.238029
11 Mongola_HGDP + Tajiks_Yunusbayev + Uygur_HGDP + Uzbeks_Behar @ 4.246694
12 Altai_Rasmussen + Chinese_Dodecad + Tajiks_Yunusbayev + Tajiks_Yunusbayev @ 4.348550
13 Burusho_HGDP + Mongola_HGDP + Uygur_HGDP + Uzbeks_Behar @ 4.371724
14 Burusho_HGDP + Mongola_HGDP + Uzbeks_Behar + Uzbeks_Behar @ 4.376121
15 Pathan_HGDP + Uygur_HGDP + Uzbeks_Behar + Xibo_HGDP @ 4.378704
16 Hazara_HGDP + Hazara_HGDP + Mongola_HGDP + Tajiks_Yunusbayev @ 4.397711
17 Hazara_HGDP + Tajiks_Yunusbayev + Uzbeks_Behar + Xibo_HGDP @ 4.427244
18 Mongola_HGDP + Pathan_HGDP + Uygur_HGDP + Uzbeks_Behar @ 4.435005
19 Mongol_Rasmussen + Naxi_HGDP + Tajiks_Yunusbayev + Tajiks_Yunusbayev @ 4.444064
20 Mongol_Rasmussen + Tajiks_Yunusbayev + Tajiks_Yunusbayev + Yizu_HGDP @ 4.456947

[SharpFork]

That's not helpful, lol. You would want to mix 50% of some population and 50% of another.

[Bellbeaking]

From Dodecad k12b



Cool, thanks



That's not helpful, lol. You would want to mix 50% of some population and 50% of another.

XD Yeh this is what I am looking for. I am not sure GEDmatch would deliver that though, no good enough fits.

[Leto]

Yaglakar is an actual Uyghur from Almaty oblast, Kazakhstan. Not an 'academic' sample.

[Mehmet Udegey]

# Population Percent
1 SouthEastAsian 25.63
2 Siberian 21.31
3 Indian 16.75
4 Caucasian 15.32
5 Steppe 9.46
6 NorthEastEuropean 6.08
7 Neolithic 2.05
8 Arctic 1.59
9 Amerindian 1.26


Finished reading population data. 517 populations found.
16 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Hazara_Baluchistan @ 5.026082
2 Uygur_Uzbekistan @ 5.334888
3 Uygur_Xinjiang @ 5.524456
4 Uzbek_Uzbekistan @ 13.030598
5 Karakalpak_Karakalpakstan @ 13.618769
6 Kyrgyz_Murgab @ 13.797145
7 Hazara_Afghanistan @ 16.336279
8 Kazakh_Kazakhstan @ 16.392303
9 Kazakh_Tien_Shan @ 16.492477
10 Kazakh_CentralKazakhstan @ 16.821751
11 Turkmen_Shumanay @ 17.038465
12 Kyrgyz_Tong @ 17.519970
13 Turkmen_Xojayli @ 18.119432
14 Kyrgyz_Kyrgyzstan @ 18.329597
15 Kyrgyz_Naryn @ 18.915220
16 Kyrgyz_Alichur @ 19.026751
17 Turkmen_Afghanistan @ 19.649103
18 Bashkir_Muradymovo @ 21.701563
19 Bashkir_Ufa @ 22.749971
20 Hakas_Khakassia @ 22.791317

Using 2 populations approximation:
1 50% Hezhen_Heilongjiang +50% Ishkasim_Gorno-Badakhshan @ 4.295570


Using 3 populations approximation:
1 50% Ishkasim_Gorno-Badakhshan +25% Tuvinian_Tuva +25% Yi_Yunnan @ 1.866419


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++
1 Forest-Nenets_Nadym + Han_China + Kshatriya_India + Nogai_Dagestan @ 1.765564
2 Bashkir_Muradymovo + Kashmiri_Pandit_Kashmir + Uygur_Xinjiang + Xibo_Xinjiang @ 1.776361
3 Evenk_Evenk + Ishkasim_Gorno-Badakhshan + Ishkasim_Gorno-Badakhshan + Vietnamese_CentralVietnam @ 1.776819
4 Buryat_Buryatia + Ishkasim_Gorno-Badakhshan + Ishkasim_Gorno-Badakhshan + Naxi_Yunnan @ 1.785377
5 Forest-Nenets_Nadym + Kshatriya_India + Miao_Guizhou + Nogai_Dagestan @ 1.790064
6 Dusun_Borneo + Ishkasim_Gorno-Badakhshan + Ishkasim_Gorno-Badakhshan + Sakha_Yakutia @ 1.852018
7 Ishkasim_Gorno-Badakhshan + Ishkasim_Gorno-Badakhshan + Tuvinian_Tuva + Yi_Yunnan @ 1.866419
8 Ishkasim_Gorno-Badakhshan + Ishkasim_Gorno-Badakhshan + Naxi_Yunnan + Tuvinian_Tuva @ 1.867860
9 Han_NorthChina + Ishkasim_Gorno-Badakhshan + Ishkasim_Gorno-Badakhshan + Tuvinian_Tuva @ 1.872976
10 Evenk_Evenk + Ishkasim_Gorno-Badakhshan + Ishkasim_Gorno-Badakhshan + Vietnamese_NorthVietnam @ 1.885002
11 Forest-Nenets_Nadym + Kshatriya_India + Nogai_Dagestan + She_Zhejiang @ 1.885127
12 Forest-Nenets_Nadym + Han_China + Nogai_Dagestan + Vaish_Odisha @ 1.894677
13 Han_NorthChina + Ishkasim_Gorno-Badakhshan + Pashtun_Afghanistan + Tuvinian_Tuva @ 1.895636
14 Brahmin_Uttar_Pradesh + Forest-Nenets_Nadym + Han_China + Nogai_Dagestan @ 1.921595
15 Ishkasim_Gorno-Badakhshan + Ishkasim_Gorno-Badakhshan + Kinh_Vietnam + Sakha_Yakutia @ 1.927509
16 Forest-Nenets_Nadym + Miao_Guizhou + Nogai_Dagestan + Vaish_Odisha @ 1.934678
17 Ishkasim_Gorno-Badakhshan + Naxi_Yunnan + Pashtun_Afghanistan + Tuvinian_Tuva @ 1.948034
18 Forest-Nenets_Nadym + Kshatriya_India + Nogai_Dagestan + Tujia_Hubei @ 1.967455
19 Ishkasim_Gorno-Badakhshan + Pashtun_Afghanistan + Tuvinian_Tuva + Yi_Yunnan @ 1.987338
20 Ishkasim_Gorno-Badakhshan + Ishkasim_Gorno-Badakhshan + Sakha_Yakutia + Vietnamese_SouthVietnam @ 1.995263