Gedmatch results of a Japanese
It seems they are truly close to Koreans and some ethnic groups in China, as the Tu.
EUtest
Quote:
EUtest Oracle results:
EUtest Oracle population reference data revised 06 Nov 2012.
Admix Results (sorted):
#PopulationPercent
1EAST_ASIAN76.66
2SIBERIAN23.06
3WEST_AFRICAN0.16
4SOUTH_ASIAN0.11
Single Population Sharing:
#Population (source)Distance
1Japanese3.46
2KR6.69
3North_Han_Chinese21.27
4Chinese28.83
5KZ62.92
6Chukchi92.25
7Koryak94.76
8Udmurt95.43
9Komi96.09
10Burusho96.45
11TR97.39
12Selkup97.53
13Erzya97.54
14AJ97.62
15RO97.83
16HU97.94
17Serbian98.09
18East_Russian98.22
19East_Finnish98.61
20AT98.83
Mixed Mode Population Sharing:
# Primary Population (source)Secondary Population (source)Distance
1 94.7%KR+5.3%Nganassan@0.28
2 93.4%KR+6.6%Koryak@0.44
3 97.2%Japanese+2.8%Nganassan@0.6
4 93.3%KR+6.7%Chukchi@0.61
5 96.6%Japanese+3.4%Koryak@0.72
6 96.5%Japanese+3.5%Chukchi@0.8
7 84.9%North_Han_Chinese+15.1%Nganassan@1.01
8 80.5%Chinese+19.5%Nganassan@1.29
9 97%Japanese+3%Selkup@1.68
10 81.7%North_Han_Chinese+18.3%Koryak@1.74
11 76.7%Chinese+23.3%Koryak@2.22
12 95.9%Japanese+4.1%KZ@2.22
13 81.3%North_Han_Chinese+18.7%Chukchi@2.26
14 94%KR+6%Selkup@2.52
15 76.3%Chinese+23.7%Chukchi@2.87
16 98.1%Japanese+1.9%Komi@2.89
17 98.1%Japanese+1.9%Udmurt@2.93
18 98.4%Japanese+1.6%East_Finnish@3.06
19 98.4%Japanese+1.6%Erzya@3.07
20 98.4%Japanese+1.6%East_Russian@3.08
EUtest 4-Ancestors Oracle
EUtest Oracle population reference data revised 06 Nov 2012.
Admix Results (sorted):
#PopulationPercent
1EAST_ASIAN76.66
2SIBERIAN23.06
Finished reading population data. 78 populations found.
13 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Japanese @ 3.008968
2 KR @ 5.802596
3 North_Han_Chinese @ 18.467770
4 Chinese @ 25.034193
5 KZ @ 55.761375
6 Chukchi @ 80.237762
7 Koryak @ 82.345634
8 Selkup @ 86.796379
9 Udmurt @ 87.136772
10 Komi @ 87.596359
11 RO @ 88.232201
12 HU @ 88.452164
13 Serbian @ 88.469421
14 AJ @ 88.499557
15 Burusho @ 89.005653
16 AT @ 89.390625
17 Erzya @ 89.444031
18 TR @ 89.603615
19 North_Italian @ 89.626007
20 East_Russian @ 89.739525
Using 2 populations approximation:
1 50% Japanese +50% Japanese @ 3.008968
Using 3 populations approximation:
1 50% Chinese +25% Chinese +25% Koryak @ 2.871589
Using 4 populations approximation:
1 Chinese + Chinese + Chinese + Koryak @ 2.871589
2 Japanese + Japanese + Japanese + Japanese @ 3.008968
3 Chinese + Chinese + Chinese + Chukchi @ 3.151754
4 Japanese + Japanese + Japanese + KR @ 3.689476
5 Chinese + Chinese + Chukchi + North_Han_Chinese @ 4.013955
6 Chinese + Chinese + Koryak + North_Han_Chinese @ 4.056266
7 Japanese + Japanese + KR + KR @ 4.382552
8 Japanese + KR + KR + KR @ 5.091734
9 Chinese + Chukchi + North_Han_Chinese + North_Han_Chinese @ 5.261333
10 Chinese + Koryak + North_Han_Chinese + North_Han_Chinese @ 5.480840
11 KR + KR + KR + KR @ 5.802596
12 Chinese + Chinese + Chukchi + KR @ 6.553306
13 Chukchi + North_Han_Chinese + North_Han_Chinese + North_Han_Chinese @ 6.681536
14 Japanese + Japanese + Japanese + North_Han_Chinese @ 6.856085
15 Chinese + Chinese + Koryak + KR @ 6.874500
16 Koryak + North_Han_Chinese + North_Han_Chinese + North_Han_Chinese @ 7.001245
17 Chinese + Chinese + Chinese + Nganassan @ 7.220174
18 Chinese + Chinese + Chukchi + Japanese @ 7.243429
19 Japanese + Japanese + KR + North_Han_Chinese @ 7.554649
20 Chinese + Chinese + Japanese + Koryak @ 7.582950
Eurogenes k13:
Quote:
Eurogenes K13 Oracle results:
K13 Oracle ref data revised 21 Nov 2013
Admix Results (sorted):
#PopulationPercent
1East_Asian65.67
2Siberian33.48
3Amerindian0.3
4Northeast_African0.27
5Oceanian0.16
6Sub-Saharan0.08
7West_Med0.03
8South_Asian0.01
Single Population Sharing:
#Population (source)Distance
1Japanese2.04
2Tu6.74
3Naxi9.67
4Yizu11.6
5Xibo12.09
6Hezhen13.4
7Tujia23.03
8Miaozu25.89
9Tibeto-Burman_Burmese26.66
10She27.72
11Lahu29.64
12Vietnamese36.26
13Cambodian37.96
14Malay38.75
15Mongolian39.49
16Dai41.48
17Kirgiz44.78
18Kazakh47.21
19Buryat47.7
20Altaian49.35
Mixed Mode Population Sharing:
# Primary Population (source)Secondary Population (source)Distance
1 66.1%She+33.9%Oroqen@0.88
2 70.2%Tujia+29.8%Oroqen@1.05
3 97.4%Japanese+2.6%Oroqen@1.41
4 90.6%Japanese+9.4%Hezhen@1.49
5 98.2%Japanese+1.8%Evens@1.5
6 98.1%Japanese+1.9%Evenki@1.5
7 98%Japanese+2%Yakut@1.51
8 90%Japanese+10%Xibo@1.54
9 98.2%Japanese+1.8%Dolgan@1.57
10 97.5%Japanese+2.5%Buryat@1.62
11 67.7%Miaozu+32.3%Oroqen@1.69
12 97.9%Japanese+2.1%Tuvinian@1.72
13 67.6%Hezhen+32.4%She@1.76
14 98.6%Japanese+1.4%Koryak@1.79
15 97.6%Japanese+2.4%Mongolian@1.79
16 63.4%Hezhen+36.6%Tujia@1.81
17 98.9%Japanese+1.1%Selkup@1.85
18 98.4%Japanese+1.6%Altaian@1.86
19 98.9%Japanese+1.1%Ket@1.86
20 99%Japanese+1%Chukchi@1.9
Dodecad V3:
Quote:
Dodecad V3 Oracle results:
The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.
Admix Results (sorted):
#PopulationPercent
1Southeast_Asian70.11
2Northeast_Asian26.29
3South_Asian1.46
4East_European1.31
5Palaeo_African0.53
6East_African0.3
Single Population Sharing:
#Population (source)Distance
1Japanese (Dodecad)1.26
2Korean (Dodecad)5.16
3Tu (HGDP)6.34
4Japanese (HGDP)6.54
5Nysha (Reich)6.55
6Aonaga (Reich)6.97
7Xibo (HGDP)7.51
8Mongola (HGDP)12.56
9Chinese (Dodecad)13.77
10Naxi (HGDP)14.55
11Yizu (HGDP)15.11
12Daur (HGDP)16.64
13JPT (HapMap)17.04
14Hezhen (HGDP)18.27
15Han (HGDP)19.14
16CHB (HapMap)21.24
17She (HGDP)21.29
18Tujia (HGDP)21.35
19Vietnamese (Xing)23.67
20CHD (HapMap)25.41
Mixed Mode Population Sharing:
# Primary Population (source)Secondary Population (source)Distance
1 98.9%Japanese (Dodecad)+1.1%HADZA (Henn)@0.53
2 99.1%Japanese (Dodecad)+0.9%SAN_SA (Henn)@0.54
3 99.1%Japanese (Dodecad)+0.9%!Kung (Xing)@0.58
4 99.2%Japanese (Dodecad)+0.8%SAN_NB (Henn)@0.61
5 98.9%Japanese (Dodecad)+1.1%SANDAWE (Henn)@0.61
6 99.2%Japanese (Dodecad)+0.8%San (HGDP)@0.61
7 99.2%Japanese (Dodecad)+0.8%Pygmy (Xing)@0.62
8 99.1%Japanese (Dodecad)+0.9%BiakaPygmy (Henn)@0.63
9 99.1%Japanese (Dodecad)+0.9%Biaka_Pygmies (HGDP)@0.63
10 99.3%Japanese (Dodecad)+0.7%MbutiPygmy (Henn)@0.65
11 99.3%Japanese (Dodecad)+0.7%Mbuti_Pygmies (HGDP)@0.65
12 98.9%Japanese (Dodecad)+1.1%Maasai (Henn)@0.68
13 70.6%Aonaga (Reich)+29.4%Daur (HGDP)@0.68
14 99%Japanese (Dodecad)+1%Hema (Xing)@0.69
15 99%Japanese (Dodecad)+1%Alur (Xing)@0.69
16 99%Japanese (Dodecad)+1%MKK (HapMap)@0.69
17 99.1%Japanese (Dodecad)+0.9%Sotho_Tswana (Xing)@0.72
18 66.5%Hezhen (HGDP)+33.5%Iban (Xing)@0.75
19 98.9%Japanese (Dodecad)+1.1%Siddi (Reich)@0.75
20 99.1%Japanese (Dodecad)+0.9%Pedi (Xing)@0.75
Eurasia k11 CHG-NAF:
Quote:
Eurasia K11 CHG-NAF Oracle results:
Eurasia K11 CHG-NAF Oracle
Admix Results (sorted):
#PopulationPercent
1E_Asian87.46
2S_Indian7.4
3Papuan2.93
4Amerindian2.2
Single Population Sharing:
#Population (source)Distance
1Naga2.45
2Mongola4.21
3Ami4.25
4Dai4.44
5Nganasan10.02
6Ulchi11.56
7Altaian25.67
8Kyrgyz29.39
9Kusunda40.32
10Uygur46.34
11Hazara46.44
12Uzbek57.36
13Hazara_Afghan62.5
14Turkmen64.68
15Turkmen_Afghan64.72
16Uttaranchal_Brah68.45
17tadjik1372.44
18Ust_Ishim75.23
19tadjik775.56
20tadjik1275.59
Mixed Mode Population Sharing:
# Primary Population (source)Secondary Population (source)Distance
1 98.5%Naga+1.5%Karitiana@1.02
2 67.8%Naga+32.2%Mongola@1.6
3 97.4%Ami+2.6%Karitiana@1.68
4 88.2%Naga+11.8%Nganasan@2.07
5 51.7%Mongola+48.3%Dai@2.15
6 74.8%Dai+25.2%Ulchi@2.24
7 96.3%Naga+3.7%Altaian@2.24
8 97.2%Naga+2.8%Kyrgyz@2.3
9 72%Dai+28%Nganasan@2.3
10 99.3%Naga+0.7%MA1@2.34
11 99.3%Naga+0.7%RISE412_Armenian@2.35
12 98.9%Naga+1.1%Turkmen@2.35
13 98.9%Naga+1.1%Turkmen_Afghan@2.35
14 98.5%Naga+1.5%Uygur@2.35
15 99.1%Naga+0.9%tadjik15@2.35
16 98.8%Naga+1.2%Uzbek@2.36
17 99.3%Naga+0.7%Maltese@2.36
18 99.1%Naga+0.9%tadjik12@2.36
19 99.2%Naga+0.8%tadjik11@2.36
20 99.3%Naga+0.7%Kumyk@2.36
MDLP K23b Oracle results:
Quote:
MDLP K23b Oracle Rev 2014 Sep 16
Admix Results (sorted):
#PopulationPercent
1Tungus-Altaic44.6
2South_East_Asian34.38
3Austronesian19
4East_Siberian1.25
5Amerindian0.5
6Archaic_African0.16
7Australoid0.09
8Ancestral_Altaic0.03
Single Population Sharing:
#Population (source)Distance
1Japanese_ML ( )3.21
2Japanese ( )4.5
3Ryukyuan ( )5.13
4Korean ( )7.42
5Korean_KR ( )8.42
6Xibo ( )10
7Mongola_China ( )12.6
8Hezhen ( )17.38
9Mongolian_QH ( )18.29
10Daur ( )18.55
11Han-Mandarin ( )19.79
12Mongol_Khalkha ( )20.24
13Han_North ( )21.74
14Tu ( )22.1
15Hakka ( )27.28
16Chinese_Taiwan ( )27.29
17Han_Singapore ( )29.04
18Kalmyk ( )29.67
19Mongolian ( )29.99
20Jinuo ( )31.2
Mixed Mode Population Sharing:
# Primary Population (source)Secondary Population (source)Distance
1 81.9%Japanese ( )+18.1%Han-Mandarin ( )@1.09
2 87%Japanese ( )+13%Han_Singapore ( )@1.13
3 88.8%Japanese ( )+11.2%Lawa ( )@1.14
4 89.1%Japanese ( )+10.9%Hmong_Miao ( )@1.15
5 86.3%Japanese ( )+13.7%Hakka ( )@1.16
6 90.1%Japanese ( )+9.9%Plang ( )@1.17
7 89.6%Japanese ( )+10.4%Hmong ( )@1.18
8 89.6%Japanese ( )+10.4%Wa ( )@1.2
9 86.3%Japanese ( )+13.7%Chinese_Taiwan ( )@1.23
10 90.4%Japanese ( )+9.6%Tai_Yuan ( )@1.25
11 89.3%Japanese ( )+10.7%Yao ( )@1.26
12 90.6%Japanese ( )+9.4%Tai_Khuen ( )@1.27
13 87.8%Japanese ( )+12.2%Jinuo ( )@1.28
14 88.1%Japanese ( )+11.9%Han ( )@1.3
15 88.9%Japanese ( )+11.1%Cantonese ( )@1.32
16 91.6%Japanese ( )+8.4%Kinh_Vietnam_KHV ( )@1.33
17 91.4%Japanese ( )+8.6%Vietnamese_north ( )@1.33
18 89.3%Japanese ( )+10.7%She ( )@1.34
19 91.8%Japanese ( )+8.2%Vietnamese_central ( )@1.41
20 89.3%Japanese ( )+10.7%Karen ( )@1.41
