4
Kit Number: Z877352
He was a Xiongnu nomad who lived in 161 BC
Dodecad K12b:
Spoiler!Admix Results (sorted):
# Population Percent
1 North_European 26.69
2 East_Asian 23.38
3 Siberian 21.44
4 Gedrosia 17.61
5 Atlantic_Med 4.91
6 South_Asian 2.63
7 Southeast_Asian 1.98
8 Sub_Saharan 1.37
Finished reading population data. 223 populations found.
12 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Uzbeks_Behar @ 19.425154
2 Uygur_HGDP @ 21.672058
3 Hazara_HGDP @ 22.073757
4 Altai_Rasmussen @ 28.551811
5 Tajiks_Yunusbayev @ 34.069836
6 Mongol_Rasmussen @ 35.748421
7 Chuvashs_Behar @ 36.614235
8 Tuva_Rasmussen @ 40.378925
9 Nogais_Yunusbayev @ 41.091053
10 Turkmens_Yunusbayev @ 41.519257
11 Brahmins_from_Uttaranchal_Metspalu @ 42.571957
12 Buryat_Rasmussen @ 43.169353
13 Burusho_HGDP @ 45.135288
14 Selkup_Rasmussen @ 48.268383
15 Hungarians_Behar @ 48.855988
16 Oroqen_HGDP @ 49.116463
17 Pathan_HGDP @ 49.225063
18 Yukagir_Rasmussen @ 49.730164
19 German_Dodecad @ 49.755596
20 Mordovians_Yunusbayev @ 50.026592
Using 2 populations approximation:
1 50% Chuvashs_Behar +50% Hazara_HGDP @ 14.079445
Using 3 populations approximation:
1 50% Altai_Rasmussen +25% Burusho_HGDP +25% Finnish_Dodecad @ 7.880052
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++
1 Balochi_HGDP + Finnish_Dodecad + Ket_Rasmussen + Korean_Dodecad @ 5.115574
2 Balochi_HGDP + FIN30_1000Genomes + Ket_Rasmussen + Korean_Dodecad @ 5.150662
3 Brahui_HGDP + Finnish_Dodecad + Ket_Rasmussen + Korean_Dodecad @ 5.345397
4 Finnish_Dodecad + Ket_Rasmussen + Korean_Dodecad + Makrani_HGDP @ 5.367178
5 FIN30_1000Genomes + Ket_Rasmussen + Korean_Dodecad + Makrani_HGDP @ 5.389241
6 Balochi_HGDP + FIN30_1000Genomes + Korean_Dodecad + Selkup_Rasmussen @ 5.400463
7 Brahui_HGDP + FIN30_1000Genomes + Ket_Rasmussen + Korean_Dodecad @ 5.449575
8 Balochi_HGDP + Finnish_Dodecad + Korean_Dodecad + Selkup_Rasmussen @ 5.469254
9 FIN30_1000Genomes + Korean_Dodecad + Makrani_HGDP + Selkup_Rasmussen @ 5.543577
10 Finnish_Dodecad + Korean_Dodecad + Makrani_HGDP + Selkup_Rasmussen @ 5.623849
11 Brahui_HGDP + FIN30_1000Genomes + Korean_Dodecad + Selkup_Rasmussen @ 5.687374
12 Brahui_HGDP + Finnish_Dodecad + Korean_Dodecad + Selkup_Rasmussen @ 5.689276
13 Balochi_HGDP + Finnish_Dodecad + Japanese_HGDP + Ket_Rasmussen @ 5.894189
14 Balochi_HGDP + FIN30_1000Genomes + Japanese_HGDP + Ket_Rasmussen @ 5.899931
15 Balochi_HGDP + Finnish_Dodecad + Japanese_Dodecad + Ket_Rasmussen @ 5.942063
16 Balochi_HGDP + Finnish_Dodecad + JPT30_Behar + Ket_Rasmussen @ 5.942063
17 Balochi_HGDP + FIN30_1000Genomes + Japanese_Dodecad + Ket_Rasmussen @ 5.947443
18 Balochi_HGDP + FIN30_1000Genomes + JPT30_Behar + Ket_Rasmussen @ 5.947443
19 Balochi_HGDP + FIN30_1000Genomes + Japanese_HGDP + Selkup_Rasmussen @ 6.055151
20 Brahui_HGDP + Finnish_Dodecad + Japanese_HGDP + Ket_Rasmussen @ 6.073248
Done.
PuntDNAL K15:
Spoiler!Admix Results (sorted):
# Population Percent
1 NE_European 34.06
2 E_Asian 23.01
3 Siberian 17.66
4 Caucasian 12.28
5 S_Indian 5.95
6 Amerindian 2.94
7 Beringian 1.43
8 SW_Asian 1.43
9 Mediterranean 1.24
Finished reading population data. 157 populations found.
15 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Bashkir @ 15.254128
2 Uyghur @ 23.375803
3 Hazara @ 24.750332
4 Uzbek @ 26.137457
5 Chuvash @ 28.392456
6 Nogai @ 36.397079
7 Turkmen @ 36.604710
8 Mongolian @ 38.050911
9 Tadjik @ 38.221516
10 Selkup @ 38.668056
11 Bosnian @ 41.419231
12 Croatian @ 43.320122
13 Serbian @ 43.446323
14 Hungarian @ 43.493084
15 Macedonian @ 43.583374
16 Pashtun @ 44.209347
17 Slovenian @ 44.520290
18 Mordovian @ 44.643074
19 Karelian @ 44.656094
20 Bulgarian @ 44.814419
Using 2 populations approximation:
1 50% Chuvash +50% Hazara @ 9.812325
Using 3 populations approximation:
1 50% Chuvash +25% Hazara +25% Burmese @ 6.605688
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++
1 Chuvash + Bashkir + Bashkir + Burmese @ 5.603153
2 Chuvash + Chuvash + Hazara + Burmese @ 6.605688
3 Chuvash + Chuvash + Uyghur + Burmese @ 6.625462
4 Chuvash + Chuvash + Uzbek + Cambodian @ 6.633102
5 Bashkir + Bashkir + Bashkir + Burmese @ 6.635505
6 Lithuanian + Selkup + Tadjik + Chinese @ 6.935462
7 Lithuanian + Bashkir + Hazara + Mongolian @ 6.997990
8 Chuvash + Chuvash + Uzbek + Burmese @ 7.054621
9 Chuvash + Chuvash + Uzbek + Filipino @ 7.070871
10 Chuvash + Chuvash + Bashkir + Burmese @ 7.075037
11 Chuvash + Bashkir + Bashkir + Singaporean @ 7.099645
12 Lithuanian + Selkup + Tadjik + Cambodian @ 7.111387
13 Chuvash + Chuvash + Hazara + Mongolian @ 7.149190
14 Chuvash + Bashkir + Bashkir + Cambodian @ 7.188755
15 Chuvash + Chuvash + Uyghur + Mongolian @ 7.198578
16 Lithuanian + Selkup + Tadjik + Vietnamese @ 7.229927
17 Finnish + Bashkir + Hazara + Mongolian @ 7.291858
18 Karelian + Bashkir + Hazara + Mongolian @ 7.303258
19 Finnish + Selkup + Tadjik + Cambodian @ 7.308432
20 Chuvash + Chuvash + Uzbek + Singaporean @ 7.354407
Done.
MDLP K23b:
Spoiler!Admix Results (sorted):
# Population Percent
1 South_Central_Asian 14.63
2 Tungus-Altaic 13.90
3 Ancestral_Altaic 13.56
4 European_Early_Farmers 13.52
5 East_Siberian 11.36
6 European_Hunters_Gatherers 8.59
7 Arctic 6.79
8 South_East_Asian 6.08
9 African_Pygmy 3.75
10 South_Indian 2.99
11 Paleo_Siberian 2.53
12 Austronesian 1.35
Finished reading population data. 620 populations found.
23 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Tatar-Siberian_ @ 21.710968
2 Uygur-Han_ @ 22.734486
3 Kazahs_ @ 23.322800
4 Uygur_ @ 23.855490
5 Turkmen_Afghan_ @ 24.008554
6 Uzbek_ @ 24.227280
7 Hazara_ @ 24.695139
8 Karakalpak_ @ 26.193958
9 Turkmen_Uzbekistan_ @ 26.373116
10 Tajik_Tajikistan_ @ 26.612503
11 Bashkir_ @ 27.133312
12 Hakas_ @ 27.315079
13 Kazakh_ @ 27.867046
14 Kyrgyz_Bishkek_ @ 29.552637
15 Tajik_Afghan_ @ 30.853670
16 Kyrgyz_ @ 32.015266
17 Altaian_ @ 32.392952
18 Uzbek_Afghan_ @ 32.584782
19 Crimean_Tatar_Step_ @ 35.267487
20 Tajik_Pomiri_Rushan_ @ 35.537609
Using 2 populations approximation:
1 50% Hakas_ +50% Tajik_Pomiri_Rushan_ @ 18.609226
Using 3 populations approximation:
1 50% Hakas_ +25% Sindhi_ +25% Spanish_Pais_Vasco_IBS_ @ 11.435263
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +++
1 Hezhen_ + Kalash_ + Mansi_ + Spanish_Pais_Vasco_IBS_ @ 9.609628
2 Daur_ + Kalash_ + Mansi_ + Spanish_Pais_Vasco_IBS_ @ 9.683511
3 French_South_ + Hezhen_ + Kalash_ + Mansi_ @ 9.689425
4 Hezhen_ + Kalash_ + Mansi_ + Spanish_Aragon_IBS_ @ 9.737017
5 Hezhen_ + Kalash_ + Mansi_ + Spanish_Cantabria_IBS_ @ 9.741797
6 Daur_ + French_South_ + Kalash_ + Mansi_ @ 9.771088
7 Daur_ + Kalash_ + Mansi_ + Spanish_Aragon_IBS_ @ 9.820105
8 Daur_ + Kalash_ + Mansi_ + Spanish_Cantabria_IBS_ @ 9.828176
9 Hezhen_ + Kalash_ + Mansi_ + Spanish_Castilla_la_Mancha_IBS_ @ 9.892648
10 French_South_ + Hezhen_ + Kalash_ + Khant_ @ 9.904438
11 Hezhen_ + Kalash_ + Khant_ + Spanish_Pais_Vasco_IBS_ @ 9.930476
12 Balochi_ + Hezhen_ + Mansi_ + Spanish_Pais_Vasco_IBS_ @ 9.975224
13 Daur_ + Kalash_ + Mansi_ + Spanish_Castilla_la_Mancha_IBS_ @ 9.981840
14 Hezhen_ + Kalash_ + Khant_ + Spanish_Cantabria_IBS_ @ 9.997872
15 Hezhen_ + Kalash_ + Mansi_ + Spanish_Valencia_IBS_ @ 10.003648
16 Daur_ + French_South_ + Kalash_ + Khant_ @ 10.006576
17 Daur_ + Kalash_ + Khant_ + Spanish_Pais_Vasco_IBS_ @ 10.022774
18 Brahui_ + Hezhen_ + Mansi_ + Spanish_Pais_Vasco_IBS_ @ 10.034543
19 Hezhen_ + Kalash_ + Khant_ + Spanish_Aragon_IBS_ @ 10.051035
20 Balochi_ + Daur_ + Mansi_ + Spanish_Pais_Vasco_IBS_ @ 10.060245
Done.
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