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网上看到的一个澳大利亚土著的常染数据。

XIX century sample (Kit Z905945).

Dodecad K12b Oracle results:Admix Results (sorted):

#PopulationPercent
1South_Asian42.14
2Southeast_Asian22.88
3East_Asian10.04
4Sub_Saharan6.75
5Siberian6.45
6East_African5.98
7Gedrosia3.2
8Southwest_Asian2.12
9Atlantic_Med0.44

Single Population Sharing:

#Population (source)Distance
1Khasi (Chaubey)22.91
2BONDA (Chaubey)30.79
3Juang (Chaubey)30.8
4Kharia (Chaubey)33.35
5Savara (Chaubey)33.85
6Ho (Chaubey)34.95
7ASUR (Chaubey)36.45
8Gond (Metspalu)37.27
9Nihali (Metspalu)38.41
10Burmanese (Chaubey)39.11
11Cochin_Jews (Behar)39.23
12Garo (Chaubey)39.74
13Tharus (Metspalu)40.79
14Bnei_Menashe_Jews (Behar)40.9
15Chenchus (Metspalu)41.33
16Muslim (Metspalu)42.66
17Dusadh (Metspalu)42.78
18Dharkars (Metspalu)43.27
19Uttar_Pradesh_Scheduled_Caste (Metspalu)43.3
20Tamil_Nadu_Scheduled_Caste (Metspalu)43.42

Mixed Mode Population Sharing:

# Primary Population (source)Secondary Population (source)Distance
1 64%BONDA (Chaubey)+36%Hazara (HGDP)@12.41
2 64%Juang (Chaubey)+36%Hazara (HGDP)@12.45
3 64.3%BONDA (Chaubey)+35.7%Uygur (HGDP)@12.81
4 64.3%Juang (Chaubey)+35.7%Uygur (HGDP)@12.82
5 70.5%BONDA (Chaubey)+29.5%Mongol (Rasmussen)@13.19
6 70.5%Juang (Chaubey)+29.5%Mongol (Rasmussen)@13.26
7 64.8%BONDA (Chaubey)+35.2%Uzbeks (Behar)@13.45
8 64.8%Juang (Chaubey)+35.2%Uzbeks (Behar)@13.49
9 70.1%BONDA (Chaubey)+29.9%Altai (Rasmussen)@13.61
10 70.1%Juang (Chaubey)+29.9%Altai (Rasmussen)@13.68
11 70%Khasi (Chaubey)+30%MALAYAN (Behar)@13.85
12 70.8%Khasi (Chaubey)+29.2%North_Kannadi (Behar)@14.01
13 66.4%Khasi (Chaubey)+33.6%Nihali (Metspalu)@14.02
14 73.1%Khasi (Chaubey)+26.9%Pulliyar (Metspalu)@14.11
15 70.1%Khasi (Chaubey)+29.9%Hakkipikki (Metspalu)@14.17
16 65.8%Khasi (Chaubey)+34.2%Gond (Metspalu)@14.27
17 62.5%Kharia (Chaubey)+37.5%Uygur (HGDP)@14.36
18 62.2%Kharia (Chaubey)+37.8%Hazara (HGDP)@14.36
19 70.3%Khasi (Chaubey)+29.7%Chamar (Metspalu)@14.45
20 70.5%Khasi (Chaubey)+29.5%SAKILLI (Behar)@14.61
Eurogenes v2k15:
Eurogenes EUtest V2 K15 Oracle results:

Admix Results (sorted):

#PopulationPercent
1Oceanian66.01
2South_Asian14.8
3Southeast_Asian11.01
4Siberian4.69
5Northeast_African3.49

Single Population Sharing:

#Population (source)Distance
1NAN_Melanesian16.06
2Papuan41.49
3La_Brana-190.72
4Afghan_Hazara91.7
5Uygur91.75
6Uzbeki91.91
7Afghan_Uzbeki92.07
8Hazara92.24
9Afghan_Turkmen92.4
10Afghan_Tadjik92.6
11Tadjik93
12Turkmen93.5
13Nogay93.67
14MA-193.85
15Tatar94.33
16Afghan_Pashtun94.47
17Burusho94.71
18Moldavian94.93
19Bulgarian95.16
20Ashkenazi95.23

Mixed Mode Population Sharing:

# Primary Population (source)Secondary Population (source)Distance
1 70.5%Papuan+29.5%Austroasiatic_Ho@9.11
2 70.5%Papuan+29.5%Bangladeshi@10.78
3 69.5%Papuan+30.5%Uygur@11.43
4 69.7%Papuan+30.3%Hazara@11.63
5 69.6%Papuan+30.4%Afghan_Hazara@11.77
6 71.8%Papuan+28.2%Tibeto-Burman_Burmese@12.08
7 69.7%Papuan+30.3%Uzbeki@12.35
8 91.1%NAN_Melanesian+8.9%Chamar@12.42
9 91.1%NAN_Melanesian+8.9%Piramalai@12.43
10 91%NAN_Melanesian+9%Kurumba@12.5
11 91.1%NAN_Melanesian+8.9%Sakilli@12.51
12 91%NAN_Melanesian+9%North_Kannadi@12.52
13 91.1%NAN_Melanesian+8.9%Velamas@12.55
14 91.1%NAN_Melanesian+8.9%Kol@12.58
15 71.8%Papuan+28.2%Chenchu@12.59
16 91.1%NAN_Melanesian+8.9%Dusadh@12.61
17 91%NAN_Melanesian+9%Kanjar@12.63
18 91%NAN_Melanesian+9%Dharkar@12.64
19 91.1%NAN_Melanesian+8.9%Uttar_Pradesh@12.64
20 91%NAN_Melanesian+9%Kshatriya@12.8
EUtest Oracle results:
Admix Results (sorted):

#PopulationPercent
1SOUTH_ASIAN46.64
2EAST_ASIAN30.99
3WEST_AFRICAN8.05
4SIBERIAN7.73
5EAST_AFRICAN5.51
6WEST_MED0.72
7MIDDLE_EASTERN0.32
8SOUTH_BALTIC0.05

Single Population Sharing:

#Population (source)Distance
1Bangladeshi34.68
2Burusho41.45
3IN43.79
4Sindhi46.19
5Gujarati46.25
6South_Indian49.16
7Kalash51.95
8Balochi52.94
9Brahui53.11
10KZ53.72
11IR64.7
12TR66.73
13AJ66.81
14Kurdish67.14
15RO67.17
16Udmurt67.33
17Serbian67.35
18IQ67.41
19HU67.53
20AT67.91

Mixed Mode Population Sharing:

# Primary Population (source)Secondary Population (source)Distance
1 60.3%South_Indian+39.7%Japanese@13.75
2 60.9%South_Indian+39.1%KR@13.9
3 69.6%Bangladeshi+30.4%Japanese@15.36
4 70.2%Bangladeshi+29.8%KR@15.38
5 63.2%South_Indian+36.8%North_Han_Chinese@15.68
6 72.2%Bangladeshi+27.8%North_Han_Chinese@15.99
7 73.4%Bangladeshi+26.6%Chinese@16.54
8 64.6%South_Indian+35.4%Chinese@17
9 62.9%Gujarati+37.1%KR@17.29
10 62.3%Gujarati+37.7%Japanese@17.32
11 64.5%IN+35.5%KR@17.79
12 65.1%Gujarati+34.9%North_Han_Chinese@17.79
13 63.8%IN+36.2%Japanese@17.82
14 66.6%IN+33.4%North_Han_Chinese@18.17
15 66.4%Gujarati+33.6%Chinese@18.4
16 67.9%IN+32.1%Chinese@18.68
17 63.7%Sindhi+36.3%Japanese@24.46
18 64.3%Sindhi+35.7%KR@24.47
19 66.6%Sindhi+33.4%North_Han_Chinese@24.61
20 67.9%Sindhi+32.1%Chinese@24.9
World9 Oracle results:
Admix Results (sorted):

#PopulationPercent
1Australasian67.46
2South_Asian12.81
3East_Asian11.6
4African3.88
5Siberian3.59
6Southern0.66

Single Population Sharing:

#Population (source)Distance
1NAN_Melanesian20.54
2Papuan40.62
3PANIYA79.66
4Uygur (HGDP)87.7
5Hazara (HGDP)87.84
6Uzbeks (Behar)88.42
7Khasi (Chaubey)89.16
8Juang (Chaubey)90.86
9BONDA (Chaubey)91.47
10Bnei_Menashe_Jews91.69
11Turkmens (Yunusbayev)91.71
12Tajiks (Yunusbayev)91.84
13Nogais (Yunusbayev)92.06
14Kharia (Chaubey)92.26
15Savara (Chaubey)92.4
16Burusho (HGDP)92.41
17Cochin_Jews (Behar)92.91
18Ho (Chaubey)93.14
19Altai93.54
20Brahmins_from_Uttar_Pradesh (Metspalu)93.84

Mixed Mode Population Sharing:

# Primary Population (source)Secondary Population (source)Distance
1 69%Papuan+31%Khasi (Chaubey)@7.72
2 66.6%Papuan+33.4%PANIYA@8.33
3 84.7%NAN_Melanesian+15.3%MALAYAN (Behar)@8.38
4 84.7%NAN_Melanesian+15.3%Malayan (Chaubey)@8.38
5 84.1%NAN_Melanesian+15.9%Pulliyar (Metspalu)@8.48
6 84.5%NAN_Melanesian+15.5%SAKILLI@8.54
7 84.5%NAN_Melanesian+15.5%Sakilli (Chaubey)@8.54
8 69.6%Papuan+30.4%BONDA (Chaubey)@8.6
9 84.1%NAN_Melanesian+15.9%Paniya (Chaubey)@8.64
10 69.5%Papuan+30.5%Juang (Chaubey)@8.65
11 84%NAN_Melanesian+16%North_Kannadi@8.8
12 84.1%NAN_Melanesian+15.9%Hakkipikki (Metspalu)@8.83
13 84%NAN_Melanesian+16%Chamar (Metspalu)@8.89
14 84.1%NAN_Melanesian+15.9%Piramalai_Kallars (Metspalu)@9.23
15 83.9%NAN_Melanesian+16.1%Chenchus (Metspalu)@9.26
16 83.8%NAN_Melanesian+16.2%Nihali (Metspalu)@9.28
17 84.1%NAN_Melanesian+15.9%Kurumba (Metspalu)@9.28
18 84%NAN_Melanesian+16%Kol (Metspalu)@9.37
19 84.1%NAN_Melanesian+15.9%Uttar_Pradesh_Scheduled_Caste (Metspalu)@9.37
20 84%NAN_Melanesian+16%Kanjars (Metspalu)@9.44
Eurasia K11 CHG-NAF Oracle results:
Admix Results (sorted):

#PopulationPercent
1Papuan58.22
2S_Indian22.33
3E_Asian12.83
4E_African2.87
5W_African2.63
6Amerindian1.13

Single Population Sharing:

#Population (source)Distance
1Papuan54.13
2Ust_Ishim56.05
3Uttaranchal_Brah72.83
4Hazara_Afghan73.57
5tadjik574.31
6Burusho74.48
7tadjik1374.66
8Uzbek_Afghan75.05
9tadjik975.09
10Tajik_Afghan75.2
11tadjik1575.22
12Bengali75.44
13Turkmen_Afghan75.5
14tadjik775.62
15Mawasi75.67
16Uzbek75.7
17tadjik1275.87
18Turkmen75.96
19UP_Brahmin76.19
20Punjabi76.32

Mixed Mode Population Sharing:

# Primary Population (source)Secondary Population (source)Distance
1 58.5%Papuan+41.5%Mawasi@8.92
2 50.9%Papuan+49.1%Ust_Ishim@8.93
3 58.8%Papuan+41.2%Dhurwa@9.99
4 59.4%Papuan+40.6%Bhunjia@10.33
5 57.6%Papuan+42.4%Uttaranchal_Brah@10.38
6 58.5%Papuan+41.5%Bengali@11.87
7 59.1%Papuan+40.9%Gond@12.11
8 59.5%Papuan+40.5%Kusunda@12.28
9 60.4%Papuan+39.6%Nihali@12.82
10 59.8%Papuan+40.2%Chenchu@13.43
11 60.2%Papuan+39.8%Hakapiki@14.19
12 59.5%Papuan+40.5%UP_Kol@14.26
13 59.3%Papuan+40.7%UP_Muslim@14.45
14 59.8%Papuan+40.2%UP_Caste@14.46
15 59.9%Papuan+40.1%Dharkar@14.56
16 59.4%Papuan+40.6%Dusadh@14.61
17 60.5%Papuan+39.5%UP_Chamar@14.69
18 59.9%Papuan+40.1%Kanjar@15.14
19 60.3%Papuan+39.7%Piramalai@15.27
20 60.2%Papuan+39.8%Velamas@15.44
不清楚缘故,特来向你们问问。
我觉得这个人用这些测试没有“合适“的能找到和他很接近的人群,距离最小都大于15,但综合结果看,他应该介于南亚、美拉尼西亚、巴布亚之间吧。
不过我自己终于找到一个测试结果比较靠谱,EUtest 。中国北方汉族距离最近,5.36,其他韩中日距离排二三四,都是10以上了。
没什么可说的
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