Ajeje Brazorf
06-04-2018, 03:38 PM
Eurogenes EUtest V2 K15 Admixture Proportions
Eurogenes EUtest V2 K15 Admixture Proportions
This utility uses the Eurogenes EUtest V2 K15 model, created by Davidski (Polako). Questions and comments about this model
should be directed to him at his Project Blog.
Kit Number: M611023 Elapsed Time: 14.45 seconds
Population
North_Sea 13.64
Atlantic 2.50
Baltic 5.75
Eastern_Euro 12.10
West_Med -
West_Asian 23.60
East_Med 1.39
Red_Sea -
South_Asian 38.43
Southeast_Asian -
Siberian -
Amerindian 1.53
Oceanian 0.89
Northeast_African -
Sub-Saharan 0.17
Web site and contents ©Copyright 2011-2018 by GEDmatch, Inc.
Genealogy and DNA data remains the property of the submitter.
Each Admixture Proportions 'calculator' model remains the property of its developer.
164661 SNPs used in this evaluation
Oracle
GEDmatch.Com Oracle
This version of GEDmatch Oracle is based on 'Oracle v1' by Dienekes Pontikos. His original program was developed as part of the Dodecad Ancestry Project. More information on Dienekes' orignal program can be found here.
Many thanks also to Zack Ajmal for helping us get this web version of Dienekes' Oracle program developed.
Eurogenes EUtest V2 K15 Oracle results:
Kit M611023
Admix Results (sorted):
# Population Percent
1 South_Asian 38.43
2 West_Asian 23.6
3 North_Sea 13.64
4 Eastern_Euro 12.1
5 Baltic 5.75
6 Atlantic 2.5
7 Amerindian 1.53
8 East_Med 1.39
9 Oceanian 0.89
10 Sub-Saharan 0.17
Single Population Sharing:
# Population (source) Distance
1 Punjabi_Jat 8.59
2 Pathan 10.23
3 Kalash 11.69
4 Burusho 13.66
5 Sindhi 14.45
6 Afghan_Pashtun 15.65
7 Balochi 18.76
8 Brahui 19.46
9 Brahmin_UP 20.78
10 Tadjik 21.96
11 Makrani 22.09
12 Gujarati 22.62
13 Afghan_Uzbeki 23.87
14 Kshatriya 23.98
15 Afghan_Tadjik 23.99
16 Bangladeshi 27.2
17 Turkmen 30.37
18 Dharkar 31.77
19 Kanjar 32.88
20 Tabassaran 34.56
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 86.2% Punjabi_Jat + 13.8% Swedish @ 3.76
2 86% Punjabi_Jat + 14% North_Swedish @ 3.8
3 86.7% Punjabi_Jat + 13.3% West_Norwegian @ 3.84
4 86.3% Punjabi_Jat + 13.7% Norwegian @ 3.87
5 86% Punjabi_Jat + 14% Finnish @ 4.18
6 86.7% Punjabi_Jat + 13.3% North_Dutch @ 4.26
7 86.3% Punjabi_Jat + 13.7% Southwest_Finnish @ 4.35
8 86.7% Punjabi_Jat + 13.3% Danish @ 4.38
9 86.1% Punjabi_Jat + 13.9% West_German @ 4.41
10 87.1% Punjabi_Jat + 12.9% Orcadian @ 4.43
11 86.4% Punjabi_Jat + 13.6% North_German @ 4.46
12 86.8% Punjabi_Jat + 13.2% Estonian @ 4.52
13 87.3% Punjabi_Jat + 12.7% West_Scottish @ 4.58
14 86% Punjabi_Jat + 14% East_German @ 4.59
15 86.3% Punjabi_Jat + 13.7% East_Finnish @ 4.61
16 87.3% Punjabi_Jat + 12.7% Irish @ 4.63
17 85.6% Punjabi_Jat + 14.4% Hungarian @ 4.64
18 85.9% Punjabi_Jat + 14.1% Ukrainian_Lviv @ 4.66
19 86.1% Punjabi_Jat + 13.9% Ukrainian @ 4.7
20 87.2% Punjabi_Jat + 12.8% Southeast_English @ 4.71
Oracle-4
Kit Num: M611023
Threshold of components set to 1.000
Threshold of method set to 0.25%
Personal data has been read. 20 approximations mode.
Gedmatch.Com
Eurogenes EUtest V2 K15 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.
Admix Results (sorted):
# Population Percent
1 South_Asian 38.43
2 West_Asian 23.60
3 North_Sea 13.64
4 Eastern_Euro 12.10
5 Baltic 5.75
6 Atlantic 2.50
7 Amerindian 1.53
8 East_Med 1.39
Finished reading population data. 207 populations found.
15 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Punjabi_Jat @ 9.728746
2 Pathan @ 11.876847
3 Kalash @ 13.645540
4 Burusho @ 15.058822
5 Sindhi @ 16.619198
6 Afghan_Pashtun @ 17.801937
7 Balochi @ 21.876165
8 Brahui @ 22.722078
9 Brahmin_UP @ 23.462679
10 Tadjik @ 23.961880
11 Gujarati @ 25.414402
12 Makrani @ 25.663717
13 Afghan_Uzbeki @ 25.700094
14 Afghan_Tadjik @ 25.825968
15 Kshatriya @ 27.041960
16 Bangladeshi @ 30.253101
17 Turkmen @ 34.015148
18 Dharkar @ 35.823830
19 Kanjar @ 37.040459
20 Afghan_Hazara @ 37.533955
Using 2 populations approximation:
1 50% Kol +50% Tabassaran @ 8.626623
Using 3 populations approximation:
1 50% Kalash +25% North_Swedish +25% Velamas @ 5.441526
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++
1 Kalash + Kalash + North_Swedish + Velamas @ 5.441526
2 Kalash + Kalash + Kurumba + North_Swedish @ 5.677960
3 Kalash + Kalash + Swedish + Velamas @ 5.705999
4 Kalash + Kalash + North_Swedish + Piramalai @ 5.831436
5 Kalash + Kalash + Kurumba + Swedish @ 5.896211
6 Kalash + Kalash + Norwegian + Velamas @ 5.951341
7 Finnish + Kalash + Kalash + Velamas @ 5.961473
8 Kalash + Kalash + Piramalai + Swedish @ 6.006743
9 Dusadh + Kalash + Kalash + North_Swedish @ 6.083641
10 Gujarati + Kalash + North_Swedish + Sindhi @ 6.084063
11 Kalash + Kalash + Kol + North_Swedish @ 6.147500
12 Kalash + Kalash + Kurumba + Norwegian @ 6.153365
13 Kalash + Kalash + Velamas + West_Norwegian @ 6.171648
14 Finnish + Kalash + Kalash + Kurumba @ 6.174935
15 Kalash + Kalash + Kanjar + North_Swedish @ 6.196017
16 Kalash + Kalash + Kanjar + Swedish @ 6.233309
17 Dusadh + Kalash + Kalash + Swedish @ 6.252823
18 Kalash + Kalash + Norwegian + Piramalai @ 6.262583
19 Dharkar + Kalash + Kalash + North_Swedish @ 6.274601
20 Kalash + Kalash + Kol + Swedish @ 6.289981
Done.
Elapsed time 1.3478 seconds.
HarappaWorld Admixture Proportions
HarappaWorld Admixture Proportions
This utility uses the HarappaWorld model, created by Zack. Questions and comments about this model
should be directed to him at harappa@zackvision.com or to his HarappaWorld blog.
We appreciate him making this excellent tool available here.
Kit Number: M611023 Elapsed Time: 17.60 seconds
Population
S-Indian 24.87
Baloch 35.54
Caucasian 10.76
NE-Euro 20.38
SE-Asian -
Siberian 0.72
NE-Asian -
Papuan 1.09
American 1.79
Beringian -
Mediterranean 4.21
SW-Asian 0.59
San -
E-African -
Pygmy -
W-African -
Web site and contents ©Copyright 2011-2018 by GEDmatch, Inc.
Genealogy and DNA data remains the property of the submitter.
Each Admixture Proportions 'calculator' model remains the property of its developer.
164594 SNPs used in this evaluation
Oracle
GEDmatch.Com Oracle
This version of GEDmatch Oracle is based on 'Oracle v1' by Dienekes Pontikos. His original program was developed as part of the Dodecad Ancestry Project. More information on Dienekes' orignal program can be found here.
Many thanks also to Zack Ajmal for helping us get this web version of Dienekes' Oracle program developed.
HarappaWorld Oracle results:
23 April 2013 - Oracle reference population percentages revised.
Kit M611023
Admix Results (sorted):
# Population Percent
1 Baloch 35.54
2 S-Indian 24.87
3 NE-Euro 20.38
4 Caucasian 10.76
5 Mediterranean 4.21
6 American 1.79
7 Papuan 1.09
8 Siberian 0.72
9 SW-Asian 0.59
10 Beringian 0.04
Single Population Sharing:
# Population (source) Distance
1 haryana-jatt (harappa) 3.86
2 punjabi-jatt-sikh (harappa) 9.24
3 punjabi-khatri (harappa) 11.13
4 pathan (hgdp) 11.59
5 kashmiri (harappa) 12.75
6 sindhi (harappa) 12.82
7 nepalese-a (xing) 12.96
8 bhatia (harappa) 13.14
9 punjabi-brahmin (harappa) 13.31
10 punjabi-jatt-muslim (harappa) 13.36
11 kashmiri-pandit (reich) 13.46
12 burusho (hgdp) 13.59
13 singapore-indian-c (sgvp) 13.8
14 pashtun (harappa) 14.01
15 punjabi (harappa) 14.05
16 kalash (hgdp) 14.31
17 up-muslim (harappa) 14.72
18 punjabi-ramgarhia (harappa) 15.05
19 kashmiri-pahari (harappa) 15.36
20 punjabi-arain (xing) 15.55
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 93.6% haryana-jatt (harappa) + 6.4% ukranian (yunusbayev) @ 1.72
2 93.2% haryana-jatt (harappa) + 6.8% slovenian (xing) @ 1.73
3 93.2% haryana-jatt (harappa) + 6.8% hungarian (behar) @ 1.77
4 94.1% haryana-jatt (harappa) + 5.9% russian (behar) @ 1.8
5 94.1% haryana-jatt (harappa) + 5.9% belorussian (behar) @ 1.81
6 77.8% punjabi-arain (xing) + 22.2% russian (behar) @ 1.84
7 92.9% haryana-jatt (harappa) + 7.1% romanian-a (behar) @ 1.93
8 93.1% haryana-jatt (harappa) + 6.9% bulgarian (yunusbayev) @ 1.96
9 93.8% haryana-jatt (harappa) + 6.2% mordovian (yunusbayev) @ 1.96
10 94.7% haryana-jatt (harappa) + 5.3% lithuanian (behar) @ 2.03
11 93.9% haryana-jatt (harappa) + 6.1% n-european (xing) @ 2.11
12 94% haryana-jatt (harappa) + 6% utahn-white (hapmap) @ 2.16
13 77.9% punjabi-arain (xing) + 22.1% belorussian (behar) @ 2.16
14 94.1% haryana-jatt (harappa) + 5.9% utahn-white (1000genomes) @ 2.21
15 85.8% punjabi-jatt-sikh (harappa) + 14.2% belorussian (behar) @ 2.24
16 94.2% haryana-jatt (harappa) + 5.8% british (1000genomes) @ 2.28
17 95.6% haryana-jatt (harappa) + 4.4% finnish (1000genomes) @ 2.31
18 94.1% haryana-jatt (harappa) + 5.9% french (hgdp) @ 2.32
19 94.3% haryana-jatt (harappa) + 5.7% orcadian (hgdp) @ 2.32
20 85.8% punjabi-jatt-sikh (harappa) + 14.2% russian (behar) @ 2.35
Oracle-4
Kit Num: M611023
Threshold of components set to 1.000
Threshold of method set to 0.25%
Personal data has been read. 20 approximations mode.
Gedmatch.Com
HarappaWorld 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.
23 April 2013 - Oracle reference population percentages revised.
Admix Results (sorted):
# Population Percent
1 Baloch 35.54
2 S-Indian 24.87
3 NE-Euro 20.38
4 Caucasian 10.76
5 Mediterranean 4.21
6 American 1.79
7 Papuan 1.09
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 haryana-jatt_harappa @ 4.178029
2 punjabi-jatt-sikh_harappa @ 10.125698
3 rajasthani-brahmin_harappa @ 10.341934
4 punjabi-khatri_harappa @ 12.204597
5 pushtikar-brahmin_harappa @ 12.513543
6 pathan_hgdp @ 12.736503
7 nepali_harappa @ 13.087939
8 kashmiri_harappa @ 14.020673
9 sindhi_harappa @ 14.060167
10 nepalese-a_xing @ 14.236837
11 bhatia_harappa @ 14.424397
12 punjabi-jatt-muslim_harappa @ 14.619840
13 punjabi-brahmin_harappa @ 14.622923
14 burusho_hgdp @ 14.774074
15 kashmiri-pandit_reich @ 14.788711
16 singapore-indian-c_sgvp @ 15.175798
17 pashtun_harappa @ 15.423087
18 punjabi_harappa @ 15.442262
19 kalash_hgdp @ 15.770855
20 up-muslim_harappa @ 16.206507
Using 2 populations approximation:
1 50% haryana-jatt_harappa +50% haryana-jatt_harappa @ 4.178029
Using 3 populations approximation:
1 50% bhatia_harappa +25% goan_harappa +25% ukranian_yunusbayev @ 2.404942
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++
1 bhatia_harappa + gujarati-a_hapmap + kalash_hgdp + ukranian_yunusbayev @ 2.009669
2 bhatia_harappa + gujarati-a_1000genomes + kalash_hgdp + ukranian_yunusbayev @ 2.115617
3 bhatia_harappa + gujarati-patel_harappa + kalash_hgdp + ukranian_yunusbayev @ 2.145433
4 bhatia_harappa + bhatia_harappa + goan_harappa + ukranian_yunusbayev @ 2.404942
5 bhatia_harappa + haryana-jatt_harappa + kalash_hgdp + singapore-indian-d_sgvp @ 2.487880
6 bhatia_harappa + gujarati-patel_harappa + kalash_hgdp + mordovian_yunusbayev @ 2.488765
7 belorussian_behar + bhatia_harappa + gujarati-patel_harappa + kalash_hgdp @ 2.511551
8 bhatia_harappa + gujarati-a_1000genomes + kalash_hgdp + mordovian_yunusbayev @ 2.528585
9 bhatia_harappa + bhatia_harappa + kerala-nair_harappa + ukranian_yunusbayev @ 2.547066
10 bhatia_harappa + meena_metspalu + punjabi-arain_xing + ukranian_yunusbayev @ 2.557248
11 bhatia_harappa + bhatia_harappa + gujarati-a_1000genomes + ukranian_yunusbayev @ 2.580427
12 belorussian_behar + bhatia_harappa + gujarati-a_hapmap + kalash_hgdp @ 2.583248
13 bhatia_harappa + gujarati-a_hapmap + kalash_hgdp + mordovian_yunusbayev @ 2.602603
14 belorussian_behar + bhatia_harappa + gujarati-a_1000genomes + kalash_hgdp @ 2.608679
15 bhatia_harappa + bhatia_harappa + gujarati-a_hapmap + ukranian_yunusbayev @ 2.609971
16 bhatia_harappa + meena_metspalu + sindhi_hgdp + ukranian_yunusbayev @ 2.638649
17 bhatia_harappa + gujarati-b_hapmap + sindhi_hgdp + ukranian_yunusbayev @ 2.644528
18 bhatia_harappa + haryana-jatt_harappa + pathan_hgdp + singapore-indian-d_sgvp @ 2.652040
19 bhatia_harappa + bhatia_harappa + tn-brahmin_xing + ukranian_yunusbayev @ 2.658134
20 bhatia_harappa + gujarati-patel_harappa + kalash_hgdp + russian_behar @ 2.681278
Done.
Elapsed time 9.3264 seconds.
Eurogenes_ANE K7 Admixture Proportions
Eurogenes_ANE K7 Admixture Proportions
This utility uses the Eurogenes ANE K7 model, created by Davidski (Polako). Questions and comments about this calculator
should be directed to him at his Project Blog. Revised 2014-Sep-12
Kit Number: M611023 Elapsed Time: 10.34 seconds
Population
ANE 29.62
ASE 12.98
WHG-UHG 17.29
East_Eurasian 2.25
West_African 0.98
East_African 1.54
ENF 35.34
Web site and contents ©Copyright 2011-2018 by GEDmatch, Inc.
Genealogy and DNA data remains the property of the submitter.
Each Admixture Proportions 'calculator' model remains the property of its developer.
162931 SNPs used in this evaluation
Eurogenes K13 Admixture Proportions
Eurogenes K13 Admixture Proportions
This utility uses the Eurogenes K13 model (rev 21 Nov 2013), created by Davidski (Polako). Questions and comments about this model
should be directed to him at his Project Blog.
Kit Number: M611023 Elapsed Time: 12.85 seconds
Population
North_Atlantic 13.74
Baltic 13.41
West_Med -
West_Asian 32.33
East_Med 0.38
Red_Sea -
South_Asian 36.42
East_Asian -
Siberian 0.29
Amerindian 1.85
Oceanian 1.30
Northeast_African -
Sub-Saharan 0.28
Web site and contents ©Copyright 2011-2018 by GEDmatch, Inc.
Genealogy and DNA data remains the property of the submitter.
Each Admixture Proportions 'calculator' model remains the property of its developer.
162838 SNPs used in this evaluation
Oracle
GEDmatch.Com Oracle
This version of GEDmatch Oracle is based on 'Oracle v1' by Dienekes Pontikos. His original program was developed as part of the Dodecad Ancestry Project. More information on Dienekes' orignal program can be found here.
Many thanks also to Zack Ajmal for helping us get this web version of Dienekes' Oracle program developed.
Eurogenes K13 Oracle results:
K13 Oracle ref data revised 21 Nov 2013
Kit M611023
Admix Results (sorted):
# Population Percent
1 South_Asian 36.42
2 West_Asian 32.33
3 North_Atlantic 13.74
4 Baltic 13.41
5 Amerindian 1.85
6 Oceanian 1.3
7 East_Med 0.38
8 Siberian 0.29
9 Sub-Saharan 0.28
Single Population Sharing:
# Population (source) Distance
1 Punjabi_Jat 8.84
2 Pathan 11.61
3 Kalash 12.16
4 Burusho 13.91
5 Afghan_Pashtun 14.93
6 Sindhi 16.26
7 Brahmin_UP 19.72
8 Tadjik 20.83
9 Gujarati 22.3
10 Kshatriya 23.35
11 Afghan_Tadjik 23.67
12 Balochi 23.68
13 Makrani 24.8
14 Brahui 24.91
15 Bangladeshi 27.56
16 Dharkar 31.37
17 Tabassaran 31.69
18 Turkmen 31.77
19 Kanjar 32.16
20 Lezgin 34
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 86.1% Punjabi_Jat + 13.9% Swedish @ 2.47
2 86.3% Punjabi_Jat + 13.7% Norwegian @ 2.5
3 85.6% Punjabi_Jat + 14.4% North_German @ 2.66
4 86.2% Punjabi_Jat + 13.8% North_Dutch @ 2.66
5 86% Punjabi_Jat + 14% Danish @ 2.7
6 86.3% Punjabi_Jat + 13.7% North_Swedish @ 2.73
7 86.3% Punjabi_Jat + 13.7% Irish @ 2.77
8 86.5% Punjabi_Jat + 13.5% West_Scottish @ 2.85
9 86.4% Punjabi_Jat + 13.6% Orcadian @ 2.86
10 86.5% Punjabi_Jat + 13.5% Southeast_English @ 3.08
11 86.7% Punjabi_Jat + 13.3% Southwest_English @ 3.15
12 85.7% Punjabi_Jat + 14.3% West_German @ 3.4
13 86.9% Punjabi_Jat + 13.1% Southwest_Finnish @ 3.42
14 86% Punjabi_Jat + 14% South_Dutch @ 3.49
15 85.7% Punjabi_Jat + 14.3% East_German @ 3.49
16 87.3% Punjabi_Jat + 12.7% La_Brana-1 @ 3.51
17 85.6% Punjabi_Jat + 14.4% Austrian @ 3.53
18 85.4% Punjabi_Jat + 14.6% Hungarian @ 3.79
19 87.2% Punjabi_Jat + 12.8% Finnish @ 3.84
20 86.2% Punjabi_Jat + 13.8% South_Polish @ 3.96
Oracle-4
Kit Num: M611023
Threshold of components set to 1.000
Threshold of method set to 0.25%
Personal data has been read. 20 approximations mode.
Gedmatch.Com
Eurogenes K13 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.
K13 Oracle ref data revised 21 Nov 2013
Admix Results (sorted):
# Population Percent
1 South_Asian 36.42
2 West_Asian 32.33
3 North_Atlantic 13.74
4 Baltic 13.41
5 Amerindian 1.85
6 Oceanian 1.30
Finished reading population data. 204 populations found.
13 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Punjabi_Jat @ 10.012922
2 Pathan @ 13.273455
3 Kalash @ 14.014497
4 Burusho @ 15.225742
5 Afghan_Pashtun @ 16.891771
6 Sindhi @ 18.547487
7 Brahmin_UP @ 22.343407
8 Tadjik @ 22.801920
9 Gujarati @ 25.181982
10 Afghan_Tadjik @ 25.759953
11 Kshatriya @ 26.438486
12 Balochi @ 27.230818
13 Makrani @ 28.387526
14 Brahui @ 28.652039
15 Bangladeshi @ 30.864504
16 Dharkar @ 35.525352
17 Turkmen @ 35.527325
18 Tabassaran @ 35.990669
19 Kanjar @ 36.438408
20 Aghan_Hazara @ 37.966511
Using 2 populations approximation:
1 50% Kanjar +50% Tabassaran @ 8.979199
Using 3 populations approximation:
1 50% Kalash +25% North_German +25% Velamas @ 5.080889
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++
1 Balochi + Kalash + North_Swedish + Piramalai @ 4.655146
2 Brahui + Kalash + North_Swedish + Piramalai @ 4.733434
3 Balochi + Kalash + Kurumba + North_Swedish @ 4.744216
4 Balochi + Kalash + North_Swedish + Velamas @ 4.752587
5 Brahui + Kalash + Kurumba + North_Swedish @ 4.817048
6 Balochi + Kalash + Piramalai + Swedish @ 4.843473
7 Brahui + Kalash + North_Swedish + Velamas @ 4.847542
8 Brahui + Kalash + Piramalai + Swedish @ 4.922954
9 North_Swedish + Sindhi + Sindhi + Sindhi @ 4.995813
10 Balochi + Gujarati + North_Swedish + Sindhi @ 5.005823
11 Balochi + Kalash + Kurumba + Swedish @ 5.039134
12 Balochi + Kalash + Swedish + Velamas @ 5.058499
13 Kalash + Kalash + North_German + Velamas @ 5.080889
14 Balochi + Dusadh + Kalash + North_Swedish @ 5.089122
15 Brahui + Gujarati + North_Swedish + Sindhi @ 5.095685
16 Brahui + Kalash + Kurumba + Swedish @ 5.107737
17 Brahui + Kalash + North_Kannadi + Swedish @ 5.126956
18 Gujarati + Kalash + Sindhi + Swedish @ 5.131131
19 Balochi + Kalash + North_Kannadi + Swedish @ 5.132797
20 Brahui + Dusadh + Kalash + North_Swedish @ 5.144651
Done.
Elapsed time 0.6696 seconds.
Eurogenes Hunter_Gatherer vs. Farmer Admixture Proportions
Eurogenes Hunter_Gatherer vs. Farmer Admixture Proportions
This utility uses the Hunter_Gatherer vs. Farmer model, created by Davidski (Polako). Questions and comments about this model
should be directed to him at his Eurogenes blog. We appreciate him making this excellent tool available here.
A map showing the HGvF populations is available HERE.
Population descriptions are available HERE.
Kit Number: M611023 Elapsed Time: 12.59 seconds
Population
Anatolian Farmer 31.65
Baltic Hunter Gatherer 24.53
Middle Eastern Herder -
East Asian Farmer -
South American Hunter Gatherer 1.39
South Asian Hunter Gatherer 40.95
North Eurasian Hunter Gatherer 0.34
East African Pastoralist -
Oceanian Hunter Gatherer 0.77
Mediterranean Farmer 0.06
Pygmy Hunter Gatherer 0.31
Bantu Farmer -
Web site and contents ©Copyright 2011-2018 by GEDmatch, Inc.
Genealogy and DNA data remains the property of the submitter.
Each Admixture Proportions 'calculator' model remains the property of its developer.
153569 SNPs used in this evaluation
World9 Admixture Proportions
World9 Admixture Proportions
The World9 admixture calculator is courtesy of Dienekes Pontikos and was developed as part of the Dodecad Ancestry Project; more information here.
Kit Number: M611023 Elapsed Time: 10.31 seconds
Population
Amerindian 1.80
East_Asian -
African -
Atlantic_Baltic 23.31
Australasian 1.11
Siberian 0.87
Caucasus_Gedrosia 38.76
Southern 3.33
South_Asian 30.82
Web site and contents ©Copyright 2011-2018 by GEDmatch, Inc.
Genealogy and DNA data remains the property of the submitter.
Each Admixture Proportions 'calculator' model remains the property of its developer.
149171 SNPs used in this evaluation
Oracle
GEDmatch.Com Oracle
This version of GEDmatch Oracle is based on 'Oracle v1' by Dienekes Pontikos. His original program was developed as part of the Dodecad Ancestry Project. More information on Dienekes' orignal program can be found here.
Many thanks also to Zack Ajmal for helping us get this web version of Dienekes' Oracle program developed.
World9 Oracle results:
Kit M611023
Admix Results (sorted):
# Population Percent
1 Caucasus_Gedrosia 38.76
2 South_Asian 30.82
3 Atlantic_Baltic 23.31
4 Southern 3.33
5 Amerindian 1.8
6 Australasian 1.11
7 Siberian 0.87
Single Population Sharing:
# Population (source) Distance
1 Pathan (HGDP) 13.82
2 Burusho (HGDP) 15.62
3 Sindhi (HGDP) 18.84
4 Tajiks (Yunusbayev) 20.23
5 Brahmins_from_Uttar_Pradesh (Metspalu) 20.38
6 Indian (Dodecad) 23.67
7 Kshatriya (Metspalu) 23.81
8 Bnei_Menashe_Jews 23.89
9 Cochin_Jews (Behar) 26.3
10 Balochi (HGDP) 26.73
11 Brahmins_from_Tamil_Nadu (Metspalu) 27.37
12 Turkmens (Yunusbayev) 27.4
13 Kalash 27.72
14 Brahui (HGDP) 28.32
15 GIH30 (Dodecad) 29.03
16 Tharus (Metspalu) 29.09
17 Makrani 29.37
18 Lezgins (Behar) 31.86
19 Muslim (Metspalu) 32.09
20 Chechens (Yunusbayev) 32.15
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 77.7% Sindhi (HGDP) + 22.3% Lithuanian (Dodecad) @ 3.11
2 77.8% Sindhi (HGDP) + 22.2% Lithuanians @ 3.16
3 75.9% Sindhi (HGDP) + 24.1% Russian_B (Behar) @ 3.56
4 76.4% Sindhi (HGDP) + 23.6% Belorussian (Behar) @ 3.58
5 77.3% Sindhi (HGDP) + 22.7% Swedish (Dodecad) @ 3.61
6 77.4% Sindhi (HGDP) + 22.6% FIN30 (1000Genomes) @ 3.61
7 77.6% Sindhi (HGDP) + 22.4% Finnish (Dodecad) @ 3.64
8 75.7% Sindhi (HGDP) + 24.3% Russian (Dodecad) @ 3.67
9 77.4% Sindhi (HGDP) + 22.6% Norwegian (Dodecad) @ 3.74
10 76.3% Sindhi (HGDP) + 23.7% Polish (Dodecad) @ 3.81
11 74.6% Sindhi (HGDP) + 25.4% Mordovians (Yunusbayev) @ 4
12 75.2% Sindhi (HGDP) + 24.8% Ukranians (Yunusbayev) @ 4.06
13 76.4% Sindhi (HGDP) + 23.6% Argyll (1000 Genomes) @ 4.1
14 76.9% Sindhi (HGDP) + 23.1% Orkney (1000 Genomes) @ 4.14
15 76.7% Sindhi (HGDP) + 23.3% Orcadian (HGDP) @ 4.14
16 76.7% Sindhi (HGDP) + 23.3% Irish (Dodecad) @ 4.17
17 76.7% Sindhi (HGDP) + 23.3% British_Isles (Dodecad) @ 4.41
18 76.3% Sindhi (HGDP) + 23.7% CEU30 (1000Genomes) @ 4.52
19 76.5% Sindhi (HGDP) + 23.5% British (Dodecad) @ 4.53
20 76.2% Sindhi (HGDP) + 23.8% German (Dodecad) @ 4.53
Oracle-4
Kit Num: M611023
Threshold of components set to 1.000
Threshold of method set to 0.25%
Personal data has been read. 20 approximations mode.
Gedmatch.Com
World9 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.
Admix Results (sorted):
# Population Percent
1 Caucasus_Gedrosia 38.76
2 South_Asian 30.82
3 Atlantic_Baltic 23.31
4 Southern 3.33
5 Amerindian 1.80
6 Australasian 1.11
Finished reading population data. 250 populations found.
9 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Pathan_HGDP @ 15.440923
2 Burusho_HGDP @ 17.350962
3 Sindhi_HGDP @ 21.053453
4 Tajiks_Yunusbayev @ 22.687044
5 Brahmins_from_Uttar_Pradesh_Metspalu @ 23.244612
6 Meena_Metspalu @ 26.196613
7 Bnei_Menashe_Jews @ 26.281055
8 Indian_Dodecad @ 26.961868
9 Kshatriya_Metspalu @ 27.153036
10 Balochi_HGDP @ 29.748793
11 Cochin_Jews_Behar @ 29.760729
12 Turkmens_Yunusbayev @ 30.359697
13 Kalash @ 30.982412
14 Brahmins_from_Tamil_Nadu_Metspalu @ 31.172920
15 Brahui_HGDP @ 31.483091
16 Brahmins_from_Uttaranchal_Metspalu @ 32.144516
17 Makrani @ 32.225765
18 Velamas_Metspalu @ 32.727127
19 GIH30_Dodecad @ 33.094093
20 Tharus_Metspalu @ 33.188179
Using 2 populations approximation:
1 50% Tajiks_Yunusbayev +50% Brahmins_from_Uttar_Pradesh_Metspalu @ 9.330204
Using 3 populations approximation:
1 50% Kalash +25% North_Kannadi +25% Cornwall_1000 Genomes @ 1.522910
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++
1 Polish_Dodecad + Kalash + Sindhi_HGDP + Meghawal_Metspalu @ 1.213342
2 Kalash + Orcadian_HGDP + Sindhi_HGDP + Meghawal_Metspalu @ 1.230752
3 Kalash + Sindhi_HGDP + Orkney_1000 Genomes + Meghawal_Metspalu @ 1.251209
4 Kalash + Sindhi_HGDP + Argyll_1000 Genomes + Meghawal_Metspalu @ 1.263933
5 Irish_Dodecad + Kalash + Sindhi_HGDP + Meghawal_Metspalu @ 1.268889
6 Norwegian_Dodecad + Kalash + Sindhi_HGDP + Meghawal_Metspalu @ 1.300030
7 Swedish_Dodecad + Kalash + Sindhi_HGDP + Meghawal_Metspalu @ 1.322359
8 Kalash + Sindhi_HGDP + Argyll_1000 Genomes + Kurmi_Metspalu @ 1.338163
9 Kalash + Sindhi_HGDP + Belorussian_Behar + Meghawal_Metspalu @ 1.380847
10 Kalash + Orcadian_HGDP + Sindhi_HGDP + Kurmi_Metspalu @ 1.385676
11 Irish_Dodecad + Kalash + Sindhi_HGDP + Kurmi_Metspalu @ 1.386766
12 Kalash + Sindhi_HGDP + Orkney_1000 Genomes + Kurmi_Metspalu @ 1.404922
13 Polish_Dodecad + Kalash + Sindhi_HGDP + INS30_SGVP @ 1.413442
14 Polish_Dodecad + Kalash + Sindhi_HGDP + Kurmi_Metspalu @ 1.434496
15 British_Isles_Dodecad + Kalash + Kalash + North_Kannadi @ 1.441517
16 Kalash + Pathan_HGDP + Ukranians_Yunusbayev + Kurumba_Metspalu @ 1.461688
17 Lithuanian_Dodecad + Brahui_HGDP + Kalash + North_Kannadi @ 1.480433
18 Kalash + Sindhi_HGDP + INS30_SGVP + Argyll_1000 Genomes @ 1.483671
19 Balochi_HGDP + Kalash + Lithuanians + North_Kannadi @ 1.502457
20 Lithuanian_Dodecad + Brahui_HGDP + Kalash + Chamar_Metspalu @ 1.518879
Done.
Elapsed time 0.3122 seconds.
Eurogenes K36 Admixture Proportions
Eurogenes K36 Admixture Proportions
This utility uses the Eurogenes K36 model, created by Davidski (Polako). Questions and comments about this model
should be directed to him at his Eurogenes Genetic Ancestry Project blog.
Kit Number: M611023 Elapsed Time: 28.02 seconds
Population
Amerindian 0.68
Arabian -
Armenian 1.14
Basque -
Central_African -
Central_Euro 1.15
East_African -
East_Asian -
East_Balkan -
East_Central_Asian -
East_Central_Euro 4.44
East_Med -
Eastern_Euro 2.43
Fennoscandian 1.63
French 1.47
Iberian -
Indo-Chinese -
Italian -
Malayan -
Near_Eastern -
North_African -
North_Atlantic 7.71
North_Caucasian 11.92
North_Sea 4.61
Northeast_African -
Oceanian 0.79
Omotic -
Pygmy -
Siberian -
South_Asian 25.56
South_Central_Asian 35.46
South_Chinese -
Volga-Ural 0.37
West_African -
West_Caucasian 0.63
West_Med -
Web site and contents ©Copyright 2011-2018 by GEDmatch, Inc.
Genealogy and DNA data remains the property of the submitter.
Each Admixture Proportions 'calculator' model remains the property of its developer.
147380 SNPs used in this evaluation
Dodecad K12b Admixture Proportions
Dodecad K12b Admixture Proportions
The K12b admixture calculator is courtesy of Dienekes Pontikos and was developed as part of the Dodecad Ancestry Project; more information here.
Kit Number: M611023 Elapsed Time: 11.40 seconds
Population
Gedrosia 35.41
Siberian 1.61
Northwest_African -
Southeast_Asian -
Atlantic_Med 5.85
North_European 20.97
South_Asian 26.26
East_African -
Southwest_Asian 0.59
East_Asian -
Caucasus 9.31
Sub_Saharan -
Web site and contents ©Copyright 2011-2018 by GEDmatch, Inc.
Genealogy and DNA data remains the property of the submitter.
Each Admixture Proportions 'calculator' model remains the property of its developer.
146104 SNPs used in this evaluation
Oracle
GEDmatch.Com Oracle
This version of GEDmatch Oracle is based on 'Oracle v1' by Dienekes Pontikos. His original program was developed as part of the Dodecad Ancestry Project. More information on Dienekes' orignal program can be found here.
Many thanks also to Zack Ajmal for helping us get this web version of Dienekes' Oracle program developed.
Dodecad K12b Oracle results:
The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.
Kit M611023
Admix Results (sorted):
# Population Percent
1 Gedrosia 35.41
2 South_Asian 26.26
3 North_European 20.97
4 Caucasus 9.31
5 Atlantic_Med 5.85
6 Siberian 1.61
7 Southwest_Asian 0.59
Single Population Sharing:
# Population (source) Distance
1 Pathan (HGDP) 12.54
2 Jatt (Dodecad) 12.64
3 Burusho (HGDP) 15.06
4 Brahmins_from_Uttar_Pradesh (Metspalu) 19.63
5 Sindhi (HGDP) 21.18
6 Tajiks (Yunusbayev) 22.17
7 Kshatriya (Metspalu) 24.5
8 Bnei_Menashe_Jews (Behar) 25.46
9 Cochin_Jews (Behar) 26.47
10 Brahmins_from_Tamil_Nadu (Metspalu) 27.19
11 Indian (Dodecad) 27.79
12 Iyer (Dodecad) 28.98
13 Iyengar (Dodecad) 29.64
14 Turkmens (Yunusbayev) 31.04
15 GIH30 (Dodecad) 33.1
16 Tharus (Metspalu) 33.18
17 Dharkars (Metspalu) 33.71
18 INS30 (SGVP) 33.96
19 Muslim (Metspalu) 34.14
20 Kanjars (Metspalu) 34.36
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 82.3% Jatt (Dodecad) + 17.7% Ukranians (Yunusbayev) @ 3.76
2 79.7% Jatt (Dodecad) + 20.3% Romanians (Behar) @ 3.8
3 80.6% Jatt (Dodecad) + 19.4% Hungarians (Behar) @ 3.91
4 80.4% Jatt (Dodecad) + 19.6% Bulgarians (Yunusbayev) @ 3.97
5 79.9% Jatt (Dodecad) + 20.1% Bulgarian (Dodecad) @ 4.05
6 82.8% Jatt (Dodecad) + 17.2% Mixed_Slav (Dodecad) @ 4.21
7 82.8% Jatt (Dodecad) + 17.2% Polish (Dodecad) @ 4.26
8 83.1% Jatt (Dodecad) + 16.9% Russian_B (Behar) @ 4.26
9 83.5% Jatt (Dodecad) + 16.5% Belorussian (Behar) @ 4.44
10 73.9% Sindhi (HGDP) + 26.1% Russian_B (Behar) @ 4.57
11 83.1% Jatt (Dodecad) + 16.9% Russian (Dodecad) @ 4.6
12 82.3% Jatt (Dodecad) + 17.7% Mordovians (Yunusbayev) @ 4.62
13 73.1% Sindhi (HGDP) + 26.9% Ukranians (Yunusbayev) @ 4.65
14 82.9% Jatt (Dodecad) + 17.1% Russian (HGDP) @ 4.81
15 73.5% Sindhi (HGDP) + 26.5% Mixed_Slav (Dodecad) @ 4.88
16 74.4% Sindhi (HGDP) + 25.6% Belorussian (Behar) @ 4.95
17 72.6% Sindhi (HGDP) + 27.4% Mordovians (Yunusbayev) @ 5.1
18 73.7% Sindhi (HGDP) + 26.3% Russian (Dodecad) @ 5.11
19 84.6% Jatt (Dodecad) + 15.4% Lithuanian (Dodecad) @ 5.16
20 73.6% Sindhi (HGDP) + 26.4% Polish (Dodecad) @ 5.2
Oracle-4
Kit Num: M611023
Threshold of components set to 1.000
Threshold of method set to 0.25%
Personal data has been read. 20 approximations mode.
Gedmatch.Com
Dodecad K12b 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.
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):
# Population Percent
1 Gedrosia 35.41
2 South_Asian 26.26
3 North_European 20.97
4 Caucasus 9.31
5 Atlantic_Med 5.85
6 Siberian 1.61
Finished reading population data. 223 populations found.
12 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Pathan_HGDP @ 13.647705
2 Jatt_Dodecad @ 13.774203
3 Burusho_HGDP @ 15.800796
4 Brahmins_from_Uttar_Pradesh_Metspalu @ 20.832718
5 Sindhi_HGDP @ 23.072018
6 Tajiks_Yunusbayev @ 23.132807
7 Meena_Metspalu @ 25.206604
8 Kshatriya_Metspalu @ 26.039419
9 Bnei_Menashe_Jews_Behar @ 27.668301
10 Cochin_Jews_Behar @ 28.265888
11 Brahmins_from_Tamil_Nadu_Metspalu @ 28.967028
12 Indian_Dodecad @ 29.595428
13 Brahmins_from_Uttaranchal_Metspalu @ 30.782465
14 Iyer_Dodecad @ 30.910006
15 Iyengar_Dodecad @ 31.539608
16 Turkmens_Yunusbayev @ 33.280460
17 Bengali_Metspalu @ 33.560066
18 Lambadi_Metspalu @ 33.650719
19 Tharus_Metspalu @ 35.158775
20 GIH30_Dodecad @ 35.193085
Using 2 populations approximation:
1 50% Brahmins_from_Uttar_Pradesh_Metspalu +50% Tajiks_Yunusbayev @ 7.615635
Using 3 populations approximation:
1 50% Meena_Metspalu +25% Pathan_HGDP +25% Ukranians_Yunusbayev @ 3.839429
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++
1 Indian_Dodecad + Pathan_HGDP + Sindhi_HGDP + Ukranians_Yunusbayev @ 2.801229
2 Meena_Metspalu + Pathan_HGDP + Sindhi_HGDP + Ukranians_Yunusbayev @ 2.809582
3 Brahmins_from_Tamil_Nadu_Metspalu + Pathan_HGDP + Sindhi_HGDP + Ukranians_Yunusbayev @ 2.870598
4 Indian_Dodecad + Mixed_Slav_Dodecad + Pathan_HGDP + Sindhi_HGDP @ 2.871462
5 Brahmins_from_Tamil_Nadu_Metspalu + Mixed_Slav_Dodecad + Pathan_HGDP + Sindhi_HGDP @ 2.893095
6 Iyer_Dodecad + Pathan_HGDP + Sindhi_HGDP + Ukranians_Yunusbayev @ 2.953984
7 Brahmins_from_Tamil_Nadu_Metspalu + Mordovians_Yunusbayev + Pathan_HGDP + Sindhi_HGDP @ 3.019083
8 Indian_Dodecad + Pathan_HGDP + Polish_Dodecad + Sindhi_HGDP @ 3.025726
9 Indian_Dodecad + Mordovians_Yunusbayev + Pathan_HGDP + Sindhi_HGDP @ 3.045687
10 Brahmins_from_Tamil_Nadu_Metspalu + Pathan_HGDP + Polish_Dodecad + Sindhi_HGDP @ 3.072819
11 Iyer_Dodecad + Mordovians_Yunusbayev + Pathan_HGDP + Sindhi_HGDP @ 3.110224
12 GIH30_Dodecad + Pathan_HGDP + Sindhi_HGDP + Ukranians_Yunusbayev @ 3.110262
13 GIH30_Dodecad + Mixed_Slav_Dodecad + Pathan_HGDP + Sindhi_HGDP @ 3.133598
14 Iyer_Dodecad + Mixed_Slav_Dodecad + Pathan_HGDP + Sindhi_HGDP @ 3.137213
15 Meena_Metspalu + Mixed_Slav_Dodecad + Pathan_HGDP + Sindhi_HGDP @ 3.177813
16 Brahmins_from_Tamil_Nadu_Metspalu + Pathan_HGDP + Russian_Dodecad + Sindhi_HGDP @ 3.194440
17 Iyengar_Dodecad + Pathan_HGDP + Sindhi_HGDP + Ukranians_Yunusbayev @ 3.212884
18 Indian_Dodecad + Pathan_HGDP + Russian_Dodecad + Sindhi_HGDP @ 3.218665
19 Indian_Dodecad + Pathan_HGDP + Russian_B_Behar + Sindhi_HGDP @ 3.247561
20 Brahmins_from_Tamil_Nadu_Metspalu + Pathan_HGDP + Russian_B_Behar + Sindhi_HGDP @ 3.257986
Done.
Elapsed time 1.5725 seconds.
Dodecad V3 Admixture Proportions
Dodecad V3 Admixture Proportions
The Dodecad V3 (dv3) admixture calculator is courtesy of Dienekes Pontikos and was developed as part of the Dodecad Ancestry Project; more information here.
Kit Number: M611023 Elapsed Time: 10.69 seconds
Population
East_European 9.52
West_European 21.11
Mediterranean 6.69
Neo_African -
West_Asian 21.97
South_Asian 35.99
Northeast_Asian 3.31
Southeast_Asian 0.44
East_African -
Southwest_Asian 0.96
Northwest_African -
Palaeo_African -
Web site and contents ©Copyright 2011-2018 by GEDmatch, Inc.
Genealogy and DNA data remains the property of the submitter.
Each Admixture Proportions 'calculator' model remains the property of its developer.
144923 SNPs used in this evaluation
Oracle
GEDmatch.Com Oracle
This version of GEDmatch Oracle is based on 'Oracle v1' by Dienekes Pontikos. His original program was developed as part of the Dodecad Ancestry Project. More information on Dienekes' orignal program can be found here.
Many thanks also to Zack Ajmal for helping us get this web version of Dienekes' Oracle program developed.
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.
Kit M611023
Admix Results (sorted):
# Population Percent
1 South_Asian 35.99
2 West_Asian 21.97
3 West_European 21.11
4 East_European 9.52
5 Mediterranean 6.69
6 Northeast_Asian 3.31
7 Southwest_Asian 0.96
8 Southeast_Asian 0.44
Single Population Sharing:
# Population (source) Distance
1 Pathan (HGDP) 9.57
2 Burusho (HGDP) 13.07
3 Pakistani (Xing) 13.58
4 Kashmiri_Pandit (Reich) 14.18
5 Sindhi (HGDP) 15.06
6 Balochi (HGDP) 18.01
7 Brahui (HGDP) 19.11
8 Bnei_Menashe_Jews (Behar) 19.94
9 Vaish (Reich) 20.21
10 Makrani (HGDP) 21.71
11 Kalash (HGDP) 21.97
12 Meghawal (Reich) 22.33
13 Cochin_Jews (Behar) 23.35
14 TN_Brahmin (Xing) 25.62
15 AP_Brahmin (Xing) 26.07
16 Srivastava (Reich) 26.2
17 Indian (Dodecad) 27.8
18 Nepalese (Xing) 27.92
19 Tharu (Reich) 30.8
20 Velama (Reich) 32.14
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 85.8% Pathan (HGDP) + 14.2% FIN (1000Genomes) @ 4.04
2 86.4% Pathan (HGDP) + 13.6% Swedish (Dodecad) @ 4.24
3 86.8% Pathan (HGDP) + 13.2% Norwegian (Dodecad) @ 4.38
4 80.9% Pakistani (Xing) + 19.1% Swedish (Dodecad) @ 4.44
5 86.4% Pathan (HGDP) + 13.6% Finnish (Dodecad) @ 4.73
6 81.5% Pakistani (Xing) + 18.5% Norwegian (Dodecad) @ 4.73
7 80.4% Pakistani (Xing) + 19.6% FIN (1000Genomes) @ 4.9
8 78.6% Sindhi (HGDP) + 21.4% FIN (1000Genomes) @ 5.12
9 87.5% Pathan (HGDP) + 12.5% Irish (Dodecad) @ 5.16
10 80.5% Kashmiri_Pandit (Reich) + 19.5% Swedish (Dodecad) @ 5.19
11 81% Kashmiri_Pandit (Reich) + 19% Norwegian (Dodecad) @ 5.2
12 79.4% Sindhi (HGDP) + 20.6% Swedish (Dodecad) @ 5.26
13 87.4% Pathan (HGDP) + 12.6% British_Isles (Dodecad) @ 5.27
14 79.5% Pakistani (Xing) + 20.5% Argyll (1000 Genomes) @ 5.28
15 85.7% Pathan (HGDP) + 14.3% German (Dodecad) @ 5.29
16 80.4% Pakistani (Xing) + 19.6% Mixed_Germanic (Dodecad) @ 5.31
17 79.2% Pakistani (Xing) + 20.8% German (Dodecad) @ 5.31
18 86% Pathan (HGDP) + 14% Argyll (1000 Genomes) @ 5.34
19 87.4% Pathan (HGDP) + 12.6% British (Dodecad) @ 5.35
20 86.3% Pathan (HGDP) + 13.7% Orkney (1000 Genomes) @ 5.38
Oracle-4
Kit Num: M611023
Threshold of components set to 1.000
Threshold of method set to 0.25%
Personal data has been read. 20 approximations mode.
Gedmatch.Com
Dodecad V3 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.
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):
# Population Percent
1 South_Asian 35.99
2 West_Asian 21.97
3 West_European 21.11
4 East_European 9.52
5 Mediterranean 6.69
6 Northeast_Asian 3.31
Finished reading population data. 227 populations found.
12 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Pathan_HGDP @ 10.620770
2 Burusho_HGDP @ 13.751746
3 Pakistani_Xing @ 14.940428
4 Kashmiri_Pandit_Reich @ 15.437400
5 Sindhi_HGDP @ 16.503302
6 Balochi_HGDP @ 20.148165
7 Brahui_HGDP @ 21.380598
8 Bnei_Menashe_Jews_Behar @ 22.006826
9 Vaish_Reich @ 22.062916
10 Makrani_HGDP @ 24.003454
11 Meghawal_Reich @ 24.483562
12 Kalash_HGDP @ 24.854380
13 Cochin_Jews_Behar @ 25.585155
14 Nepalese_Xing @ 27.843395
15 TN_Brahmin_Xing @ 28.133883
16 AP_Brahmin_Xing @ 28.570765
17 Srivastava_Reich @ 28.613340
18 Indian_Dodecad @ 30.536018
19 Tharu_Reich @ 33.472000
20 Velama_Reich @ 35.246300
Using 2 populations approximation:
1 50% GIH_HapMap +50% Stalskoe_Xing @ 9.099011
Using 3 populations approximation:
1 50% GIH_HapMap +25% Lezgins_Behar +25% Slovenian_Xing @ 3.782596
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++
1 Balochi_HGDP + FIN_1000Genomes + GIH_HapMap + Kalash_HGDP @ 2.476054
2 Brahui_HGDP + FIN_1000Genomes + GIH_HapMap + Kalash_HGDP @ 2.573900
3 FIN_1000Genomes + Kalash_HGDP + Pathan_HGDP + Velama_Reich @ 3.011649
4 FIN_1000Genomes + GIH_HapMap + Kalash_HGDP + Makrani_HGDP @ 3.134482
5 Balochi_HGDP + FIN_1000Genomes + INS_SGVP + Kalash_HGDP @ 3.201520
6 Adygei_HGDP + FIN_1000Genomes + GIH_HapMap + GIH_HapMap @ 3.233095
7 Brahui_HGDP + FIN_1000Genomes + INS_SGVP + Kalash_HGDP @ 3.291386
8 Balochi_HGDP + FIN_1000Genomes + Indian_Dodecad + Kalash_HGDP @ 3.297297
9 Burusho_HGDP + German_Dodecad + Indian_Dodecad + Kalash_HGDP @ 3.335942
10 German_Dodecad + Indian_Dodecad + Kalash_HGDP + Kashmiri_Pandit_Reich @ 3.365782
11 German_Dodecad + Indian_Dodecad + Kalash_HGDP + Pathan_HGDP @ 3.376734
12 German_Dodecad + Kalash_HGDP + Pakistani_Xing + Meghawal_Reich @ 3.413150
13 German_Dodecad + Kalash_HGDP + Pakistani_Xing + Srivastava_Reich @ 3.468611
14 Brahui_HGDP + FIN_1000Genomes + Indian_Dodecad + Kalash_HGDP @ 3.480638
15 German_Dodecad + Indian_Dodecad + Kalash_HGDP + Pakistani_Xing @ 3.508936
16 FIN_1000Genomes + Indian_Dodecad + Kalash_HGDP + Pathan_HGDP @ 3.517378
17 German_Dodecad + Kalash_HGDP + Sindhi_HGDP + Meghawal_Reich @ 3.546621
18 German_Dodecad + Kalash_HGDP + Sindhi_HGDP + Srivastava_Reich @ 3.558657
19 German_Dodecad + GIH_HapMap + Kalash_HGDP + Pathan_HGDP @ 3.561780
20 German_Dodecad + Kalash_HGDP + Pakistani_Xing + TN_Brahmin_Xing @ 3.562238
Done.
Elapsed time 0.6074 seconds.
EUtest Admixture Proportions
EUtest Admixture Proportions
This utility uses the Eurogenes EUtest model, created by Davidski (Polako). Questions and comments about this model
should be directed to him at his Eurogenes Ancestry Project blog.
Kit Number: M611023 Elapsed Time: 11.97 seconds
Population
SOUTH_BALTIC 6.04
EAST_EURO 14.38
NORTH-CENTRAL_EURO 8.54
ATLANTIC 5.21
WEST_MED -
EAST_MED 2.40
WEST_ASIAN 22.81
MIDDLE_EASTERN -
SOUTH_ASIAN 40.41
EAST_AFRICAN -
EAST_ASIAN -
SIBERIAN 0.19
WEST_AFRICAN -
Web site and contents ©Copyright 2011-2018 by GEDmatch, Inc.
Genealogy and DNA data remains the property of the submitter.
Each Admixture Proportions 'calculator' model remains the property of its developer.
141360 SNPs used in this evaluation
Oracle
GEDmatch.Com Oracle
This version of GEDmatch Oracle is based on 'Oracle v1' by Dienekes Pontikos. His original program was developed as part of the Dodecad Ancestry Project. More information on Dienekes' orignal program can be found here.
Many thanks also to Zack Ajmal for helping us get this web version of Dienekes' Oracle program developed.
EUtest Oracle results:
EUtest Oracle population reference data revised 06 Nov 2012.
Kit M611023
Admix Results (sorted):
# Population Percent
1 SOUTH_ASIAN 40.41
2 WEST_ASIAN 22.81
3 EAST_EURO 14.38
4 NORTH-CENTRAL_EURO 8.54
5 SOUTH_BALTIC 6.04
6 ATLANTIC 5.21
7 EAST_MED 2.4
8 SIBERIAN 0.19
9 WEST_AFRICAN 0.03
Single Population Sharing:
# Population (source) Distance
1 Burusho 12.65
2 Kalash 12.66
3 Sindhi 14.03
4 Balochi 20.42
5 Brahui 21.09
6 IN 23.95
7 Gujarati 27.13
8 Bangladeshi 28.52
9 Lezgin 39.43
10 IR 40.8
11 Kurdish 43.43
12 TR 45.59
13 Serbian 45.7
14 RO 46.04
15 HU 46.55
16 AT 46.93
17 Udmurt 47.05
18 East_Russian 47.42
19 South_Indian 47.6
20 Erzya 48.16
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 78.9% Sindhi + 21.1% North_Swedish @ 4.9
2 79.2% Sindhi + 20.8% South_Finnish @ 5
3 79.2% Sindhi + 20.8% South_&_Central_Swedish @ 5.15
4 79.6% Sindhi + 20.4% EE @ 5.17
5 79.4% Sindhi + 20.6% NO @ 5.23
6 79% Sindhi + 21% East_Finnish @ 5.32
7 79.6% Sindhi + 20.4% DK @ 5.77
8 79% Sindhi + 21% West_Russian @ 5.79
9 78.7% Sindhi + 21.3% East_Russian @ 5.83
10 80.6% Sindhi + 19.4% LIT @ 5.89
11 79.7% Sindhi + 20.3% Belorussian @ 5.91
12 79.3% Sindhi + 20.7% PL @ 5.91
13 79.7% Sindhi + 20.3% IE @ 5.95
14 79.8% Sindhi + 20.2% Orcadian @ 5.95
15 79% Sindhi + 21% Erzya @ 5.98
16 80.1% Sindhi + 19.9% Scottish @ 6
17 79.4% Sindhi + 20.6% North_Russian @ 6
18 80.2% Sindhi + 19.8% Northwest_Russian @ 6.02
19 79.1% Sindhi + 20.9% Ukrainian-Russian @ 6.14
20 79.4% Sindhi + 20.6% UA @ 6.23
Oracle-4
Kit Num: M611023
Threshold of components set to 1.000
Threshold of method set to 0.25%
Personal data has been read. 20 approximations mode.
Gedmatch.Com
EUtest 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.
EUtest Oracle population reference data revised 06 Nov 2012.
Admix Results (sorted):
# Population Percent
1 SOUTH_ASIAN 40.41
2 WEST_ASIAN 22.81
3 EAST_EURO 14.38
4 NORTH-CENTRAL_EURO 8.54
5 SOUTH_BALTIC 6.04
6 ATLANTIC 5.21
7 EAST_MED 2.40
Finished reading population data. 78 populations found.
13 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Burusho @ 12.943749
2 Kalash @ 14.431000
3 Sindhi @ 15.548518
4 Balochi @ 23.646452
5 Brahui @ 24.427879
6 IN @ 25.689844
7 Gujarati @ 29.042265
8 Bangladeshi @ 29.992252
9 Lezgin @ 43.094360
10 IR @ 45.854649
11 Kurdish @ 48.798050
12 Serbian @ 49.515755
13 RO @ 49.889900
14 Udmurt @ 50.106464
15 HU @ 50.354832
16 TR @ 50.438099
17 AT @ 50.978699
18 Komi @ 50.996265
19 South_Indian @ 51.233082
20 East_Russian @ 51.384666
Using 2 populations approximation:
1 50% Kalash +50% Sindhi @ 11.927919
Using 3 populations approximation:
1 50% Kalash +25% North_Swedish +25% South_Indian @ 5.297345
Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++++
1 Gujarati + Kalash + North_Swedish + Sindhi @ 4.320499
2 Gujarati + Kalash + Sindhi + South_&_Central_Swedish @ 4.610767
3 Gujarati + Kalash + NO + Sindhi @ 4.834973
4 Gujarati + Kalash + Sindhi + South_Finnish @ 4.874959
5 IN + Kalash + North_Swedish + Sindhi @ 4.926076
6 IN + Kalash + Sindhi + South_&_Central_Swedish @ 5.208840
7 EE + Gujarati + Kalash + Sindhi @ 5.263737
8 Gujarati + Kalash + PL + Sindhi @ 5.273301
9 East_Finnish + Gujarati + Kalash + Sindhi @ 5.274107
10 Kalash + Kalash + North_Swedish + South_Indian @ 5.297345
11 Gujarati + Kalash + Sindhi + West_Russian @ 5.351830
12 IN + Kalash + Sindhi + South_Finnish @ 5.380657
13 DK + Gujarati + Kalash + Sindhi @ 5.388185
14 IN + Kalash + NO + Sindhi @ 5.417751
15 Kalash + Kalash + South_&_Central_Swedish + South_Indian @ 5.475104
16 Gujarati + Kalash + Sindhi + West_&_Central_German @ 5.570788
17 Gujarati + Kalash + NL + Sindhi @ 5.661067
18 Kalash + Kalash + NO + South_Indian @ 5.662679
19 Gujarati + Kalash + Sindhi + UA @ 5.674891
20 Gujarati + Kalash + Orcadian + Sindhi @ 5.677062
Done.
Elapsed time 0.0849 seconds.
Eurogenes K9b Admixture Proportions
Eurogenes K9b Admixture Proportions
This utility uses the Eurogenes K9b model, created by Davidski (Polako). This model approximates the Geno 2.0 analysis. Questions and comments about this model
should be directed to him at his Project Blog.
Kit Number: M611023 Elapsed Time: 9.20 seconds
Population
Southwest_Asian 56.51
Native_American 3.02
Northeast_Asian 0.50
Mediterranean 5.12
North_European 20.97
Southeast_Asian 7.91
Oceanian 4.15
South_African 0.82
Sub-Saharan_African 1.00
Web site and contents ©Copyright 2011-2018 by GEDmatch, Inc.
Genealogy and DNA data remains the property of the submitter.
Each Admixture Proportions 'calculator' model remains the property of its developer.
107787 SNPs used in this evaluation
Eurogenes EUtest V2 K15 Admixture Proportions
This utility uses the Eurogenes EUtest V2 K15 model, created by Davidski (Polako). Questions and comments about this model
should be directed to him at his Project Blog.
Kit Number: M611023 Elapsed Time: 14.45 seconds
Population
North_Sea 13.64
Atlantic 2.50
Baltic 5.75
Eastern_Euro 12.10
West_Med -
West_Asian 23.60
East_Med 1.39
Red_Sea -
South_Asian 38.43
Southeast_Asian -
Siberian -
Amerindian 1.53
Oceanian 0.89
Northeast_African -
Sub-Saharan 0.17
Web site and contents ©Copyright 2011-2018 by GEDmatch, Inc.
Genealogy and DNA data remains the property of the submitter.
Each Admixture Proportions 'calculator' model remains the property of its developer.
164661 SNPs used in this evaluation
Oracle
GEDmatch.Com Oracle
This version of GEDmatch Oracle is based on 'Oracle v1' by Dienekes Pontikos. His original program was developed as part of the Dodecad Ancestry Project. More information on Dienekes' orignal program can be found here.
Many thanks also to Zack Ajmal for helping us get this web version of Dienekes' Oracle program developed.
Eurogenes EUtest V2 K15 Oracle results:
Kit M611023
Admix Results (sorted):
# Population Percent
1 South_Asian 38.43
2 West_Asian 23.6
3 North_Sea 13.64
4 Eastern_Euro 12.1
5 Baltic 5.75
6 Atlantic 2.5
7 Amerindian 1.53
8 East_Med 1.39
9 Oceanian 0.89
10 Sub-Saharan 0.17
Single Population Sharing:
# Population (source) Distance
1 Punjabi_Jat 8.59
2 Pathan 10.23
3 Kalash 11.69
4 Burusho 13.66
5 Sindhi 14.45
6 Afghan_Pashtun 15.65
7 Balochi 18.76
8 Brahui 19.46
9 Brahmin_UP 20.78
10 Tadjik 21.96
11 Makrani 22.09
12 Gujarati 22.62
13 Afghan_Uzbeki 23.87
14 Kshatriya 23.98
15 Afghan_Tadjik 23.99
16 Bangladeshi 27.2
17 Turkmen 30.37
18 Dharkar 31.77
19 Kanjar 32.88
20 Tabassaran 34.56
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 86.2% Punjabi_Jat + 13.8% Swedish @ 3.76
2 86% Punjabi_Jat + 14% North_Swedish @ 3.8
3 86.7% Punjabi_Jat + 13.3% West_Norwegian @ 3.84
4 86.3% Punjabi_Jat + 13.7% Norwegian @ 3.87
5 86% Punjabi_Jat + 14% Finnish @ 4.18
6 86.7% Punjabi_Jat + 13.3% North_Dutch @ 4.26
7 86.3% Punjabi_Jat + 13.7% Southwest_Finnish @ 4.35
8 86.7% Punjabi_Jat + 13.3% Danish @ 4.38
9 86.1% Punjabi_Jat + 13.9% West_German @ 4.41
10 87.1% Punjabi_Jat + 12.9% Orcadian @ 4.43
11 86.4% Punjabi_Jat + 13.6% North_German @ 4.46
12 86.8% Punjabi_Jat + 13.2% Estonian @ 4.52
13 87.3% Punjabi_Jat + 12.7% West_Scottish @ 4.58
14 86% Punjabi_Jat + 14% East_German @ 4.59
15 86.3% Punjabi_Jat + 13.7% East_Finnish @ 4.61
16 87.3% Punjabi_Jat + 12.7% Irish @ 4.63
17 85.6% Punjabi_Jat + 14.4% Hungarian @ 4.64
18 85.9% Punjabi_Jat + 14.1% Ukrainian_Lviv @ 4.66
19 86.1% Punjabi_Jat + 13.9% Ukrainian @ 4.7
20 87.2% Punjabi_Jat + 12.8% Southeast_English @ 4.71
Oracle-4
Kit Num: M611023
Threshold of components set to 1.000
Threshold of method set to 0.25%
Personal data has been read. 20 approximations mode.
Gedmatch.Com
Eurogenes EUtest V2 K15 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.
Admix Results (sorted):
# Population Percent
1 South_Asian 38.43
2 West_Asian 23.60
3 North_Sea 13.64
4 Eastern_Euro 12.10
5 Baltic 5.75
6 Atlantic 2.50
7 Amerindian 1.53
8 East_Med 1.39
Finished reading population data. 207 populations found.
15 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Punjabi_Jat @ 9.728746
2 Pathan @ 11.876847
3 Kalash @ 13.645540
4 Burusho @ 15.058822
5 Sindhi @ 16.619198
6 Afghan_Pashtun @ 17.801937
7 Balochi @ 21.876165
8 Brahui @ 22.722078
9 Brahmin_UP @ 23.462679
10 Tadjik @ 23.961880
11 Gujarati @ 25.414402
12 Makrani @ 25.663717
13 Afghan_Uzbeki @ 25.700094
14 Afghan_Tadjik @ 25.825968
15 Kshatriya @ 27.041960
16 Bangladeshi @ 30.253101
17 Turkmen @ 34.015148
18 Dharkar @ 35.823830
19 Kanjar @ 37.040459
20 Afghan_Hazara @ 37.533955
Using 2 populations approximation:
1 50% Kol +50% Tabassaran @ 8.626623
Using 3 populations approximation:
1 50% Kalash +25% North_Swedish +25% Velamas @ 5.441526
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++
1 Kalash + Kalash + North_Swedish + Velamas @ 5.441526
2 Kalash + Kalash + Kurumba + North_Swedish @ 5.677960
3 Kalash + Kalash + Swedish + Velamas @ 5.705999
4 Kalash + Kalash + North_Swedish + Piramalai @ 5.831436
5 Kalash + Kalash + Kurumba + Swedish @ 5.896211
6 Kalash + Kalash + Norwegian + Velamas @ 5.951341
7 Finnish + Kalash + Kalash + Velamas @ 5.961473
8 Kalash + Kalash + Piramalai + Swedish @ 6.006743
9 Dusadh + Kalash + Kalash + North_Swedish @ 6.083641
10 Gujarati + Kalash + North_Swedish + Sindhi @ 6.084063
11 Kalash + Kalash + Kol + North_Swedish @ 6.147500
12 Kalash + Kalash + Kurumba + Norwegian @ 6.153365
13 Kalash + Kalash + Velamas + West_Norwegian @ 6.171648
14 Finnish + Kalash + Kalash + Kurumba @ 6.174935
15 Kalash + Kalash + Kanjar + North_Swedish @ 6.196017
16 Kalash + Kalash + Kanjar + Swedish @ 6.233309
17 Dusadh + Kalash + Kalash + Swedish @ 6.252823
18 Kalash + Kalash + Norwegian + Piramalai @ 6.262583
19 Dharkar + Kalash + Kalash + North_Swedish @ 6.274601
20 Kalash + Kalash + Kol + Swedish @ 6.289981
Done.
Elapsed time 1.3478 seconds.
HarappaWorld Admixture Proportions
HarappaWorld Admixture Proportions
This utility uses the HarappaWorld model, created by Zack. Questions and comments about this model
should be directed to him at harappa@zackvision.com or to his HarappaWorld blog.
We appreciate him making this excellent tool available here.
Kit Number: M611023 Elapsed Time: 17.60 seconds
Population
S-Indian 24.87
Baloch 35.54
Caucasian 10.76
NE-Euro 20.38
SE-Asian -
Siberian 0.72
NE-Asian -
Papuan 1.09
American 1.79
Beringian -
Mediterranean 4.21
SW-Asian 0.59
San -
E-African -
Pygmy -
W-African -
Web site and contents ©Copyright 2011-2018 by GEDmatch, Inc.
Genealogy and DNA data remains the property of the submitter.
Each Admixture Proportions 'calculator' model remains the property of its developer.
164594 SNPs used in this evaluation
Oracle
GEDmatch.Com Oracle
This version of GEDmatch Oracle is based on 'Oracle v1' by Dienekes Pontikos. His original program was developed as part of the Dodecad Ancestry Project. More information on Dienekes' orignal program can be found here.
Many thanks also to Zack Ajmal for helping us get this web version of Dienekes' Oracle program developed.
HarappaWorld Oracle results:
23 April 2013 - Oracle reference population percentages revised.
Kit M611023
Admix Results (sorted):
# Population Percent
1 Baloch 35.54
2 S-Indian 24.87
3 NE-Euro 20.38
4 Caucasian 10.76
5 Mediterranean 4.21
6 American 1.79
7 Papuan 1.09
8 Siberian 0.72
9 SW-Asian 0.59
10 Beringian 0.04
Single Population Sharing:
# Population (source) Distance
1 haryana-jatt (harappa) 3.86
2 punjabi-jatt-sikh (harappa) 9.24
3 punjabi-khatri (harappa) 11.13
4 pathan (hgdp) 11.59
5 kashmiri (harappa) 12.75
6 sindhi (harappa) 12.82
7 nepalese-a (xing) 12.96
8 bhatia (harappa) 13.14
9 punjabi-brahmin (harappa) 13.31
10 punjabi-jatt-muslim (harappa) 13.36
11 kashmiri-pandit (reich) 13.46
12 burusho (hgdp) 13.59
13 singapore-indian-c (sgvp) 13.8
14 pashtun (harappa) 14.01
15 punjabi (harappa) 14.05
16 kalash (hgdp) 14.31
17 up-muslim (harappa) 14.72
18 punjabi-ramgarhia (harappa) 15.05
19 kashmiri-pahari (harappa) 15.36
20 punjabi-arain (xing) 15.55
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 93.6% haryana-jatt (harappa) + 6.4% ukranian (yunusbayev) @ 1.72
2 93.2% haryana-jatt (harappa) + 6.8% slovenian (xing) @ 1.73
3 93.2% haryana-jatt (harappa) + 6.8% hungarian (behar) @ 1.77
4 94.1% haryana-jatt (harappa) + 5.9% russian (behar) @ 1.8
5 94.1% haryana-jatt (harappa) + 5.9% belorussian (behar) @ 1.81
6 77.8% punjabi-arain (xing) + 22.2% russian (behar) @ 1.84
7 92.9% haryana-jatt (harappa) + 7.1% romanian-a (behar) @ 1.93
8 93.1% haryana-jatt (harappa) + 6.9% bulgarian (yunusbayev) @ 1.96
9 93.8% haryana-jatt (harappa) + 6.2% mordovian (yunusbayev) @ 1.96
10 94.7% haryana-jatt (harappa) + 5.3% lithuanian (behar) @ 2.03
11 93.9% haryana-jatt (harappa) + 6.1% n-european (xing) @ 2.11
12 94% haryana-jatt (harappa) + 6% utahn-white (hapmap) @ 2.16
13 77.9% punjabi-arain (xing) + 22.1% belorussian (behar) @ 2.16
14 94.1% haryana-jatt (harappa) + 5.9% utahn-white (1000genomes) @ 2.21
15 85.8% punjabi-jatt-sikh (harappa) + 14.2% belorussian (behar) @ 2.24
16 94.2% haryana-jatt (harappa) + 5.8% british (1000genomes) @ 2.28
17 95.6% haryana-jatt (harappa) + 4.4% finnish (1000genomes) @ 2.31
18 94.1% haryana-jatt (harappa) + 5.9% french (hgdp) @ 2.32
19 94.3% haryana-jatt (harappa) + 5.7% orcadian (hgdp) @ 2.32
20 85.8% punjabi-jatt-sikh (harappa) + 14.2% russian (behar) @ 2.35
Oracle-4
Kit Num: M611023
Threshold of components set to 1.000
Threshold of method set to 0.25%
Personal data has been read. 20 approximations mode.
Gedmatch.Com
HarappaWorld 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.
23 April 2013 - Oracle reference population percentages revised.
Admix Results (sorted):
# Population Percent
1 Baloch 35.54
2 S-Indian 24.87
3 NE-Euro 20.38
4 Caucasian 10.76
5 Mediterranean 4.21
6 American 1.79
7 Papuan 1.09
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 haryana-jatt_harappa @ 4.178029
2 punjabi-jatt-sikh_harappa @ 10.125698
3 rajasthani-brahmin_harappa @ 10.341934
4 punjabi-khatri_harappa @ 12.204597
5 pushtikar-brahmin_harappa @ 12.513543
6 pathan_hgdp @ 12.736503
7 nepali_harappa @ 13.087939
8 kashmiri_harappa @ 14.020673
9 sindhi_harappa @ 14.060167
10 nepalese-a_xing @ 14.236837
11 bhatia_harappa @ 14.424397
12 punjabi-jatt-muslim_harappa @ 14.619840
13 punjabi-brahmin_harappa @ 14.622923
14 burusho_hgdp @ 14.774074
15 kashmiri-pandit_reich @ 14.788711
16 singapore-indian-c_sgvp @ 15.175798
17 pashtun_harappa @ 15.423087
18 punjabi_harappa @ 15.442262
19 kalash_hgdp @ 15.770855
20 up-muslim_harappa @ 16.206507
Using 2 populations approximation:
1 50% haryana-jatt_harappa +50% haryana-jatt_harappa @ 4.178029
Using 3 populations approximation:
1 50% bhatia_harappa +25% goan_harappa +25% ukranian_yunusbayev @ 2.404942
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++
1 bhatia_harappa + gujarati-a_hapmap + kalash_hgdp + ukranian_yunusbayev @ 2.009669
2 bhatia_harappa + gujarati-a_1000genomes + kalash_hgdp + ukranian_yunusbayev @ 2.115617
3 bhatia_harappa + gujarati-patel_harappa + kalash_hgdp + ukranian_yunusbayev @ 2.145433
4 bhatia_harappa + bhatia_harappa + goan_harappa + ukranian_yunusbayev @ 2.404942
5 bhatia_harappa + haryana-jatt_harappa + kalash_hgdp + singapore-indian-d_sgvp @ 2.487880
6 bhatia_harappa + gujarati-patel_harappa + kalash_hgdp + mordovian_yunusbayev @ 2.488765
7 belorussian_behar + bhatia_harappa + gujarati-patel_harappa + kalash_hgdp @ 2.511551
8 bhatia_harappa + gujarati-a_1000genomes + kalash_hgdp + mordovian_yunusbayev @ 2.528585
9 bhatia_harappa + bhatia_harappa + kerala-nair_harappa + ukranian_yunusbayev @ 2.547066
10 bhatia_harappa + meena_metspalu + punjabi-arain_xing + ukranian_yunusbayev @ 2.557248
11 bhatia_harappa + bhatia_harappa + gujarati-a_1000genomes + ukranian_yunusbayev @ 2.580427
12 belorussian_behar + bhatia_harappa + gujarati-a_hapmap + kalash_hgdp @ 2.583248
13 bhatia_harappa + gujarati-a_hapmap + kalash_hgdp + mordovian_yunusbayev @ 2.602603
14 belorussian_behar + bhatia_harappa + gujarati-a_1000genomes + kalash_hgdp @ 2.608679
15 bhatia_harappa + bhatia_harappa + gujarati-a_hapmap + ukranian_yunusbayev @ 2.609971
16 bhatia_harappa + meena_metspalu + sindhi_hgdp + ukranian_yunusbayev @ 2.638649
17 bhatia_harappa + gujarati-b_hapmap + sindhi_hgdp + ukranian_yunusbayev @ 2.644528
18 bhatia_harappa + haryana-jatt_harappa + pathan_hgdp + singapore-indian-d_sgvp @ 2.652040
19 bhatia_harappa + bhatia_harappa + tn-brahmin_xing + ukranian_yunusbayev @ 2.658134
20 bhatia_harappa + gujarati-patel_harappa + kalash_hgdp + russian_behar @ 2.681278
Done.
Elapsed time 9.3264 seconds.
Eurogenes_ANE K7 Admixture Proportions
Eurogenes_ANE K7 Admixture Proportions
This utility uses the Eurogenes ANE K7 model, created by Davidski (Polako). Questions and comments about this calculator
should be directed to him at his Project Blog. Revised 2014-Sep-12
Kit Number: M611023 Elapsed Time: 10.34 seconds
Population
ANE 29.62
ASE 12.98
WHG-UHG 17.29
East_Eurasian 2.25
West_African 0.98
East_African 1.54
ENF 35.34
Web site and contents ©Copyright 2011-2018 by GEDmatch, Inc.
Genealogy and DNA data remains the property of the submitter.
Each Admixture Proportions 'calculator' model remains the property of its developer.
162931 SNPs used in this evaluation
Eurogenes K13 Admixture Proportions
Eurogenes K13 Admixture Proportions
This utility uses the Eurogenes K13 model (rev 21 Nov 2013), created by Davidski (Polako). Questions and comments about this model
should be directed to him at his Project Blog.
Kit Number: M611023 Elapsed Time: 12.85 seconds
Population
North_Atlantic 13.74
Baltic 13.41
West_Med -
West_Asian 32.33
East_Med 0.38
Red_Sea -
South_Asian 36.42
East_Asian -
Siberian 0.29
Amerindian 1.85
Oceanian 1.30
Northeast_African -
Sub-Saharan 0.28
Web site and contents ©Copyright 2011-2018 by GEDmatch, Inc.
Genealogy and DNA data remains the property of the submitter.
Each Admixture Proportions 'calculator' model remains the property of its developer.
162838 SNPs used in this evaluation
Oracle
GEDmatch.Com Oracle
This version of GEDmatch Oracle is based on 'Oracle v1' by Dienekes Pontikos. His original program was developed as part of the Dodecad Ancestry Project. More information on Dienekes' orignal program can be found here.
Many thanks also to Zack Ajmal for helping us get this web version of Dienekes' Oracle program developed.
Eurogenes K13 Oracle results:
K13 Oracle ref data revised 21 Nov 2013
Kit M611023
Admix Results (sorted):
# Population Percent
1 South_Asian 36.42
2 West_Asian 32.33
3 North_Atlantic 13.74
4 Baltic 13.41
5 Amerindian 1.85
6 Oceanian 1.3
7 East_Med 0.38
8 Siberian 0.29
9 Sub-Saharan 0.28
Single Population Sharing:
# Population (source) Distance
1 Punjabi_Jat 8.84
2 Pathan 11.61
3 Kalash 12.16
4 Burusho 13.91
5 Afghan_Pashtun 14.93
6 Sindhi 16.26
7 Brahmin_UP 19.72
8 Tadjik 20.83
9 Gujarati 22.3
10 Kshatriya 23.35
11 Afghan_Tadjik 23.67
12 Balochi 23.68
13 Makrani 24.8
14 Brahui 24.91
15 Bangladeshi 27.56
16 Dharkar 31.37
17 Tabassaran 31.69
18 Turkmen 31.77
19 Kanjar 32.16
20 Lezgin 34
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 86.1% Punjabi_Jat + 13.9% Swedish @ 2.47
2 86.3% Punjabi_Jat + 13.7% Norwegian @ 2.5
3 85.6% Punjabi_Jat + 14.4% North_German @ 2.66
4 86.2% Punjabi_Jat + 13.8% North_Dutch @ 2.66
5 86% Punjabi_Jat + 14% Danish @ 2.7
6 86.3% Punjabi_Jat + 13.7% North_Swedish @ 2.73
7 86.3% Punjabi_Jat + 13.7% Irish @ 2.77
8 86.5% Punjabi_Jat + 13.5% West_Scottish @ 2.85
9 86.4% Punjabi_Jat + 13.6% Orcadian @ 2.86
10 86.5% Punjabi_Jat + 13.5% Southeast_English @ 3.08
11 86.7% Punjabi_Jat + 13.3% Southwest_English @ 3.15
12 85.7% Punjabi_Jat + 14.3% West_German @ 3.4
13 86.9% Punjabi_Jat + 13.1% Southwest_Finnish @ 3.42
14 86% Punjabi_Jat + 14% South_Dutch @ 3.49
15 85.7% Punjabi_Jat + 14.3% East_German @ 3.49
16 87.3% Punjabi_Jat + 12.7% La_Brana-1 @ 3.51
17 85.6% Punjabi_Jat + 14.4% Austrian @ 3.53
18 85.4% Punjabi_Jat + 14.6% Hungarian @ 3.79
19 87.2% Punjabi_Jat + 12.8% Finnish @ 3.84
20 86.2% Punjabi_Jat + 13.8% South_Polish @ 3.96
Oracle-4
Kit Num: M611023
Threshold of components set to 1.000
Threshold of method set to 0.25%
Personal data has been read. 20 approximations mode.
Gedmatch.Com
Eurogenes K13 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.
K13 Oracle ref data revised 21 Nov 2013
Admix Results (sorted):
# Population Percent
1 South_Asian 36.42
2 West_Asian 32.33
3 North_Atlantic 13.74
4 Baltic 13.41
5 Amerindian 1.85
6 Oceanian 1.30
Finished reading population data. 204 populations found.
13 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Punjabi_Jat @ 10.012922
2 Pathan @ 13.273455
3 Kalash @ 14.014497
4 Burusho @ 15.225742
5 Afghan_Pashtun @ 16.891771
6 Sindhi @ 18.547487
7 Brahmin_UP @ 22.343407
8 Tadjik @ 22.801920
9 Gujarati @ 25.181982
10 Afghan_Tadjik @ 25.759953
11 Kshatriya @ 26.438486
12 Balochi @ 27.230818
13 Makrani @ 28.387526
14 Brahui @ 28.652039
15 Bangladeshi @ 30.864504
16 Dharkar @ 35.525352
17 Turkmen @ 35.527325
18 Tabassaran @ 35.990669
19 Kanjar @ 36.438408
20 Aghan_Hazara @ 37.966511
Using 2 populations approximation:
1 50% Kanjar +50% Tabassaran @ 8.979199
Using 3 populations approximation:
1 50% Kalash +25% North_German +25% Velamas @ 5.080889
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++
1 Balochi + Kalash + North_Swedish + Piramalai @ 4.655146
2 Brahui + Kalash + North_Swedish + Piramalai @ 4.733434
3 Balochi + Kalash + Kurumba + North_Swedish @ 4.744216
4 Balochi + Kalash + North_Swedish + Velamas @ 4.752587
5 Brahui + Kalash + Kurumba + North_Swedish @ 4.817048
6 Balochi + Kalash + Piramalai + Swedish @ 4.843473
7 Brahui + Kalash + North_Swedish + Velamas @ 4.847542
8 Brahui + Kalash + Piramalai + Swedish @ 4.922954
9 North_Swedish + Sindhi + Sindhi + Sindhi @ 4.995813
10 Balochi + Gujarati + North_Swedish + Sindhi @ 5.005823
11 Balochi + Kalash + Kurumba + Swedish @ 5.039134
12 Balochi + Kalash + Swedish + Velamas @ 5.058499
13 Kalash + Kalash + North_German + Velamas @ 5.080889
14 Balochi + Dusadh + Kalash + North_Swedish @ 5.089122
15 Brahui + Gujarati + North_Swedish + Sindhi @ 5.095685
16 Brahui + Kalash + Kurumba + Swedish @ 5.107737
17 Brahui + Kalash + North_Kannadi + Swedish @ 5.126956
18 Gujarati + Kalash + Sindhi + Swedish @ 5.131131
19 Balochi + Kalash + North_Kannadi + Swedish @ 5.132797
20 Brahui + Dusadh + Kalash + North_Swedish @ 5.144651
Done.
Elapsed time 0.6696 seconds.
Eurogenes Hunter_Gatherer vs. Farmer Admixture Proportions
Eurogenes Hunter_Gatherer vs. Farmer Admixture Proportions
This utility uses the Hunter_Gatherer vs. Farmer model, created by Davidski (Polako). Questions and comments about this model
should be directed to him at his Eurogenes blog. We appreciate him making this excellent tool available here.
A map showing the HGvF populations is available HERE.
Population descriptions are available HERE.
Kit Number: M611023 Elapsed Time: 12.59 seconds
Population
Anatolian Farmer 31.65
Baltic Hunter Gatherer 24.53
Middle Eastern Herder -
East Asian Farmer -
South American Hunter Gatherer 1.39
South Asian Hunter Gatherer 40.95
North Eurasian Hunter Gatherer 0.34
East African Pastoralist -
Oceanian Hunter Gatherer 0.77
Mediterranean Farmer 0.06
Pygmy Hunter Gatherer 0.31
Bantu Farmer -
Web site and contents ©Copyright 2011-2018 by GEDmatch, Inc.
Genealogy and DNA data remains the property of the submitter.
Each Admixture Proportions 'calculator' model remains the property of its developer.
153569 SNPs used in this evaluation
World9 Admixture Proportions
World9 Admixture Proportions
The World9 admixture calculator is courtesy of Dienekes Pontikos and was developed as part of the Dodecad Ancestry Project; more information here.
Kit Number: M611023 Elapsed Time: 10.31 seconds
Population
Amerindian 1.80
East_Asian -
African -
Atlantic_Baltic 23.31
Australasian 1.11
Siberian 0.87
Caucasus_Gedrosia 38.76
Southern 3.33
South_Asian 30.82
Web site and contents ©Copyright 2011-2018 by GEDmatch, Inc.
Genealogy and DNA data remains the property of the submitter.
Each Admixture Proportions 'calculator' model remains the property of its developer.
149171 SNPs used in this evaluation
Oracle
GEDmatch.Com Oracle
This version of GEDmatch Oracle is based on 'Oracle v1' by Dienekes Pontikos. His original program was developed as part of the Dodecad Ancestry Project. More information on Dienekes' orignal program can be found here.
Many thanks also to Zack Ajmal for helping us get this web version of Dienekes' Oracle program developed.
World9 Oracle results:
Kit M611023
Admix Results (sorted):
# Population Percent
1 Caucasus_Gedrosia 38.76
2 South_Asian 30.82
3 Atlantic_Baltic 23.31
4 Southern 3.33
5 Amerindian 1.8
6 Australasian 1.11
7 Siberian 0.87
Single Population Sharing:
# Population (source) Distance
1 Pathan (HGDP) 13.82
2 Burusho (HGDP) 15.62
3 Sindhi (HGDP) 18.84
4 Tajiks (Yunusbayev) 20.23
5 Brahmins_from_Uttar_Pradesh (Metspalu) 20.38
6 Indian (Dodecad) 23.67
7 Kshatriya (Metspalu) 23.81
8 Bnei_Menashe_Jews 23.89
9 Cochin_Jews (Behar) 26.3
10 Balochi (HGDP) 26.73
11 Brahmins_from_Tamil_Nadu (Metspalu) 27.37
12 Turkmens (Yunusbayev) 27.4
13 Kalash 27.72
14 Brahui (HGDP) 28.32
15 GIH30 (Dodecad) 29.03
16 Tharus (Metspalu) 29.09
17 Makrani 29.37
18 Lezgins (Behar) 31.86
19 Muslim (Metspalu) 32.09
20 Chechens (Yunusbayev) 32.15
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 77.7% Sindhi (HGDP) + 22.3% Lithuanian (Dodecad) @ 3.11
2 77.8% Sindhi (HGDP) + 22.2% Lithuanians @ 3.16
3 75.9% Sindhi (HGDP) + 24.1% Russian_B (Behar) @ 3.56
4 76.4% Sindhi (HGDP) + 23.6% Belorussian (Behar) @ 3.58
5 77.3% Sindhi (HGDP) + 22.7% Swedish (Dodecad) @ 3.61
6 77.4% Sindhi (HGDP) + 22.6% FIN30 (1000Genomes) @ 3.61
7 77.6% Sindhi (HGDP) + 22.4% Finnish (Dodecad) @ 3.64
8 75.7% Sindhi (HGDP) + 24.3% Russian (Dodecad) @ 3.67
9 77.4% Sindhi (HGDP) + 22.6% Norwegian (Dodecad) @ 3.74
10 76.3% Sindhi (HGDP) + 23.7% Polish (Dodecad) @ 3.81
11 74.6% Sindhi (HGDP) + 25.4% Mordovians (Yunusbayev) @ 4
12 75.2% Sindhi (HGDP) + 24.8% Ukranians (Yunusbayev) @ 4.06
13 76.4% Sindhi (HGDP) + 23.6% Argyll (1000 Genomes) @ 4.1
14 76.9% Sindhi (HGDP) + 23.1% Orkney (1000 Genomes) @ 4.14
15 76.7% Sindhi (HGDP) + 23.3% Orcadian (HGDP) @ 4.14
16 76.7% Sindhi (HGDP) + 23.3% Irish (Dodecad) @ 4.17
17 76.7% Sindhi (HGDP) + 23.3% British_Isles (Dodecad) @ 4.41
18 76.3% Sindhi (HGDP) + 23.7% CEU30 (1000Genomes) @ 4.52
19 76.5% Sindhi (HGDP) + 23.5% British (Dodecad) @ 4.53
20 76.2% Sindhi (HGDP) + 23.8% German (Dodecad) @ 4.53
Oracle-4
Kit Num: M611023
Threshold of components set to 1.000
Threshold of method set to 0.25%
Personal data has been read. 20 approximations mode.
Gedmatch.Com
World9 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.
Admix Results (sorted):
# Population Percent
1 Caucasus_Gedrosia 38.76
2 South_Asian 30.82
3 Atlantic_Baltic 23.31
4 Southern 3.33
5 Amerindian 1.80
6 Australasian 1.11
Finished reading population data. 250 populations found.
9 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Pathan_HGDP @ 15.440923
2 Burusho_HGDP @ 17.350962
3 Sindhi_HGDP @ 21.053453
4 Tajiks_Yunusbayev @ 22.687044
5 Brahmins_from_Uttar_Pradesh_Metspalu @ 23.244612
6 Meena_Metspalu @ 26.196613
7 Bnei_Menashe_Jews @ 26.281055
8 Indian_Dodecad @ 26.961868
9 Kshatriya_Metspalu @ 27.153036
10 Balochi_HGDP @ 29.748793
11 Cochin_Jews_Behar @ 29.760729
12 Turkmens_Yunusbayev @ 30.359697
13 Kalash @ 30.982412
14 Brahmins_from_Tamil_Nadu_Metspalu @ 31.172920
15 Brahui_HGDP @ 31.483091
16 Brahmins_from_Uttaranchal_Metspalu @ 32.144516
17 Makrani @ 32.225765
18 Velamas_Metspalu @ 32.727127
19 GIH30_Dodecad @ 33.094093
20 Tharus_Metspalu @ 33.188179
Using 2 populations approximation:
1 50% Tajiks_Yunusbayev +50% Brahmins_from_Uttar_Pradesh_Metspalu @ 9.330204
Using 3 populations approximation:
1 50% Kalash +25% North_Kannadi +25% Cornwall_1000 Genomes @ 1.522910
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++
1 Polish_Dodecad + Kalash + Sindhi_HGDP + Meghawal_Metspalu @ 1.213342
2 Kalash + Orcadian_HGDP + Sindhi_HGDP + Meghawal_Metspalu @ 1.230752
3 Kalash + Sindhi_HGDP + Orkney_1000 Genomes + Meghawal_Metspalu @ 1.251209
4 Kalash + Sindhi_HGDP + Argyll_1000 Genomes + Meghawal_Metspalu @ 1.263933
5 Irish_Dodecad + Kalash + Sindhi_HGDP + Meghawal_Metspalu @ 1.268889
6 Norwegian_Dodecad + Kalash + Sindhi_HGDP + Meghawal_Metspalu @ 1.300030
7 Swedish_Dodecad + Kalash + Sindhi_HGDP + Meghawal_Metspalu @ 1.322359
8 Kalash + Sindhi_HGDP + Argyll_1000 Genomes + Kurmi_Metspalu @ 1.338163
9 Kalash + Sindhi_HGDP + Belorussian_Behar + Meghawal_Metspalu @ 1.380847
10 Kalash + Orcadian_HGDP + Sindhi_HGDP + Kurmi_Metspalu @ 1.385676
11 Irish_Dodecad + Kalash + Sindhi_HGDP + Kurmi_Metspalu @ 1.386766
12 Kalash + Sindhi_HGDP + Orkney_1000 Genomes + Kurmi_Metspalu @ 1.404922
13 Polish_Dodecad + Kalash + Sindhi_HGDP + INS30_SGVP @ 1.413442
14 Polish_Dodecad + Kalash + Sindhi_HGDP + Kurmi_Metspalu @ 1.434496
15 British_Isles_Dodecad + Kalash + Kalash + North_Kannadi @ 1.441517
16 Kalash + Pathan_HGDP + Ukranians_Yunusbayev + Kurumba_Metspalu @ 1.461688
17 Lithuanian_Dodecad + Brahui_HGDP + Kalash + North_Kannadi @ 1.480433
18 Kalash + Sindhi_HGDP + INS30_SGVP + Argyll_1000 Genomes @ 1.483671
19 Balochi_HGDP + Kalash + Lithuanians + North_Kannadi @ 1.502457
20 Lithuanian_Dodecad + Brahui_HGDP + Kalash + Chamar_Metspalu @ 1.518879
Done.
Elapsed time 0.3122 seconds.
Eurogenes K36 Admixture Proportions
Eurogenes K36 Admixture Proportions
This utility uses the Eurogenes K36 model, created by Davidski (Polako). Questions and comments about this model
should be directed to him at his Eurogenes Genetic Ancestry Project blog.
Kit Number: M611023 Elapsed Time: 28.02 seconds
Population
Amerindian 0.68
Arabian -
Armenian 1.14
Basque -
Central_African -
Central_Euro 1.15
East_African -
East_Asian -
East_Balkan -
East_Central_Asian -
East_Central_Euro 4.44
East_Med -
Eastern_Euro 2.43
Fennoscandian 1.63
French 1.47
Iberian -
Indo-Chinese -
Italian -
Malayan -
Near_Eastern -
North_African -
North_Atlantic 7.71
North_Caucasian 11.92
North_Sea 4.61
Northeast_African -
Oceanian 0.79
Omotic -
Pygmy -
Siberian -
South_Asian 25.56
South_Central_Asian 35.46
South_Chinese -
Volga-Ural 0.37
West_African -
West_Caucasian 0.63
West_Med -
Web site and contents ©Copyright 2011-2018 by GEDmatch, Inc.
Genealogy and DNA data remains the property of the submitter.
Each Admixture Proportions 'calculator' model remains the property of its developer.
147380 SNPs used in this evaluation
Dodecad K12b Admixture Proportions
Dodecad K12b Admixture Proportions
The K12b admixture calculator is courtesy of Dienekes Pontikos and was developed as part of the Dodecad Ancestry Project; more information here.
Kit Number: M611023 Elapsed Time: 11.40 seconds
Population
Gedrosia 35.41
Siberian 1.61
Northwest_African -
Southeast_Asian -
Atlantic_Med 5.85
North_European 20.97
South_Asian 26.26
East_African -
Southwest_Asian 0.59
East_Asian -
Caucasus 9.31
Sub_Saharan -
Web site and contents ©Copyright 2011-2018 by GEDmatch, Inc.
Genealogy and DNA data remains the property of the submitter.
Each Admixture Proportions 'calculator' model remains the property of its developer.
146104 SNPs used in this evaluation
Oracle
GEDmatch.Com Oracle
This version of GEDmatch Oracle is based on 'Oracle v1' by Dienekes Pontikos. His original program was developed as part of the Dodecad Ancestry Project. More information on Dienekes' orignal program can be found here.
Many thanks also to Zack Ajmal for helping us get this web version of Dienekes' Oracle program developed.
Dodecad K12b Oracle results:
The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.
Kit M611023
Admix Results (sorted):
# Population Percent
1 Gedrosia 35.41
2 South_Asian 26.26
3 North_European 20.97
4 Caucasus 9.31
5 Atlantic_Med 5.85
6 Siberian 1.61
7 Southwest_Asian 0.59
Single Population Sharing:
# Population (source) Distance
1 Pathan (HGDP) 12.54
2 Jatt (Dodecad) 12.64
3 Burusho (HGDP) 15.06
4 Brahmins_from_Uttar_Pradesh (Metspalu) 19.63
5 Sindhi (HGDP) 21.18
6 Tajiks (Yunusbayev) 22.17
7 Kshatriya (Metspalu) 24.5
8 Bnei_Menashe_Jews (Behar) 25.46
9 Cochin_Jews (Behar) 26.47
10 Brahmins_from_Tamil_Nadu (Metspalu) 27.19
11 Indian (Dodecad) 27.79
12 Iyer (Dodecad) 28.98
13 Iyengar (Dodecad) 29.64
14 Turkmens (Yunusbayev) 31.04
15 GIH30 (Dodecad) 33.1
16 Tharus (Metspalu) 33.18
17 Dharkars (Metspalu) 33.71
18 INS30 (SGVP) 33.96
19 Muslim (Metspalu) 34.14
20 Kanjars (Metspalu) 34.36
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 82.3% Jatt (Dodecad) + 17.7% Ukranians (Yunusbayev) @ 3.76
2 79.7% Jatt (Dodecad) + 20.3% Romanians (Behar) @ 3.8
3 80.6% Jatt (Dodecad) + 19.4% Hungarians (Behar) @ 3.91
4 80.4% Jatt (Dodecad) + 19.6% Bulgarians (Yunusbayev) @ 3.97
5 79.9% Jatt (Dodecad) + 20.1% Bulgarian (Dodecad) @ 4.05
6 82.8% Jatt (Dodecad) + 17.2% Mixed_Slav (Dodecad) @ 4.21
7 82.8% Jatt (Dodecad) + 17.2% Polish (Dodecad) @ 4.26
8 83.1% Jatt (Dodecad) + 16.9% Russian_B (Behar) @ 4.26
9 83.5% Jatt (Dodecad) + 16.5% Belorussian (Behar) @ 4.44
10 73.9% Sindhi (HGDP) + 26.1% Russian_B (Behar) @ 4.57
11 83.1% Jatt (Dodecad) + 16.9% Russian (Dodecad) @ 4.6
12 82.3% Jatt (Dodecad) + 17.7% Mordovians (Yunusbayev) @ 4.62
13 73.1% Sindhi (HGDP) + 26.9% Ukranians (Yunusbayev) @ 4.65
14 82.9% Jatt (Dodecad) + 17.1% Russian (HGDP) @ 4.81
15 73.5% Sindhi (HGDP) + 26.5% Mixed_Slav (Dodecad) @ 4.88
16 74.4% Sindhi (HGDP) + 25.6% Belorussian (Behar) @ 4.95
17 72.6% Sindhi (HGDP) + 27.4% Mordovians (Yunusbayev) @ 5.1
18 73.7% Sindhi (HGDP) + 26.3% Russian (Dodecad) @ 5.11
19 84.6% Jatt (Dodecad) + 15.4% Lithuanian (Dodecad) @ 5.16
20 73.6% Sindhi (HGDP) + 26.4% Polish (Dodecad) @ 5.2
Oracle-4
Kit Num: M611023
Threshold of components set to 1.000
Threshold of method set to 0.25%
Personal data has been read. 20 approximations mode.
Gedmatch.Com
Dodecad K12b 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.
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):
# Population Percent
1 Gedrosia 35.41
2 South_Asian 26.26
3 North_European 20.97
4 Caucasus 9.31
5 Atlantic_Med 5.85
6 Siberian 1.61
Finished reading population data. 223 populations found.
12 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Pathan_HGDP @ 13.647705
2 Jatt_Dodecad @ 13.774203
3 Burusho_HGDP @ 15.800796
4 Brahmins_from_Uttar_Pradesh_Metspalu @ 20.832718
5 Sindhi_HGDP @ 23.072018
6 Tajiks_Yunusbayev @ 23.132807
7 Meena_Metspalu @ 25.206604
8 Kshatriya_Metspalu @ 26.039419
9 Bnei_Menashe_Jews_Behar @ 27.668301
10 Cochin_Jews_Behar @ 28.265888
11 Brahmins_from_Tamil_Nadu_Metspalu @ 28.967028
12 Indian_Dodecad @ 29.595428
13 Brahmins_from_Uttaranchal_Metspalu @ 30.782465
14 Iyer_Dodecad @ 30.910006
15 Iyengar_Dodecad @ 31.539608
16 Turkmens_Yunusbayev @ 33.280460
17 Bengali_Metspalu @ 33.560066
18 Lambadi_Metspalu @ 33.650719
19 Tharus_Metspalu @ 35.158775
20 GIH30_Dodecad @ 35.193085
Using 2 populations approximation:
1 50% Brahmins_from_Uttar_Pradesh_Metspalu +50% Tajiks_Yunusbayev @ 7.615635
Using 3 populations approximation:
1 50% Meena_Metspalu +25% Pathan_HGDP +25% Ukranians_Yunusbayev @ 3.839429
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++
1 Indian_Dodecad + Pathan_HGDP + Sindhi_HGDP + Ukranians_Yunusbayev @ 2.801229
2 Meena_Metspalu + Pathan_HGDP + Sindhi_HGDP + Ukranians_Yunusbayev @ 2.809582
3 Brahmins_from_Tamil_Nadu_Metspalu + Pathan_HGDP + Sindhi_HGDP + Ukranians_Yunusbayev @ 2.870598
4 Indian_Dodecad + Mixed_Slav_Dodecad + Pathan_HGDP + Sindhi_HGDP @ 2.871462
5 Brahmins_from_Tamil_Nadu_Metspalu + Mixed_Slav_Dodecad + Pathan_HGDP + Sindhi_HGDP @ 2.893095
6 Iyer_Dodecad + Pathan_HGDP + Sindhi_HGDP + Ukranians_Yunusbayev @ 2.953984
7 Brahmins_from_Tamil_Nadu_Metspalu + Mordovians_Yunusbayev + Pathan_HGDP + Sindhi_HGDP @ 3.019083
8 Indian_Dodecad + Pathan_HGDP + Polish_Dodecad + Sindhi_HGDP @ 3.025726
9 Indian_Dodecad + Mordovians_Yunusbayev + Pathan_HGDP + Sindhi_HGDP @ 3.045687
10 Brahmins_from_Tamil_Nadu_Metspalu + Pathan_HGDP + Polish_Dodecad + Sindhi_HGDP @ 3.072819
11 Iyer_Dodecad + Mordovians_Yunusbayev + Pathan_HGDP + Sindhi_HGDP @ 3.110224
12 GIH30_Dodecad + Pathan_HGDP + Sindhi_HGDP + Ukranians_Yunusbayev @ 3.110262
13 GIH30_Dodecad + Mixed_Slav_Dodecad + Pathan_HGDP + Sindhi_HGDP @ 3.133598
14 Iyer_Dodecad + Mixed_Slav_Dodecad + Pathan_HGDP + Sindhi_HGDP @ 3.137213
15 Meena_Metspalu + Mixed_Slav_Dodecad + Pathan_HGDP + Sindhi_HGDP @ 3.177813
16 Brahmins_from_Tamil_Nadu_Metspalu + Pathan_HGDP + Russian_Dodecad + Sindhi_HGDP @ 3.194440
17 Iyengar_Dodecad + Pathan_HGDP + Sindhi_HGDP + Ukranians_Yunusbayev @ 3.212884
18 Indian_Dodecad + Pathan_HGDP + Russian_Dodecad + Sindhi_HGDP @ 3.218665
19 Indian_Dodecad + Pathan_HGDP + Russian_B_Behar + Sindhi_HGDP @ 3.247561
20 Brahmins_from_Tamil_Nadu_Metspalu + Pathan_HGDP + Russian_B_Behar + Sindhi_HGDP @ 3.257986
Done.
Elapsed time 1.5725 seconds.
Dodecad V3 Admixture Proportions
Dodecad V3 Admixture Proportions
The Dodecad V3 (dv3) admixture calculator is courtesy of Dienekes Pontikos and was developed as part of the Dodecad Ancestry Project; more information here.
Kit Number: M611023 Elapsed Time: 10.69 seconds
Population
East_European 9.52
West_European 21.11
Mediterranean 6.69
Neo_African -
West_Asian 21.97
South_Asian 35.99
Northeast_Asian 3.31
Southeast_Asian 0.44
East_African -
Southwest_Asian 0.96
Northwest_African -
Palaeo_African -
Web site and contents ©Copyright 2011-2018 by GEDmatch, Inc.
Genealogy and DNA data remains the property of the submitter.
Each Admixture Proportions 'calculator' model remains the property of its developer.
144923 SNPs used in this evaluation
Oracle
GEDmatch.Com Oracle
This version of GEDmatch Oracle is based on 'Oracle v1' by Dienekes Pontikos. His original program was developed as part of the Dodecad Ancestry Project. More information on Dienekes' orignal program can be found here.
Many thanks also to Zack Ajmal for helping us get this web version of Dienekes' Oracle program developed.
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.
Kit M611023
Admix Results (sorted):
# Population Percent
1 South_Asian 35.99
2 West_Asian 21.97
3 West_European 21.11
4 East_European 9.52
5 Mediterranean 6.69
6 Northeast_Asian 3.31
7 Southwest_Asian 0.96
8 Southeast_Asian 0.44
Single Population Sharing:
# Population (source) Distance
1 Pathan (HGDP) 9.57
2 Burusho (HGDP) 13.07
3 Pakistani (Xing) 13.58
4 Kashmiri_Pandit (Reich) 14.18
5 Sindhi (HGDP) 15.06
6 Balochi (HGDP) 18.01
7 Brahui (HGDP) 19.11
8 Bnei_Menashe_Jews (Behar) 19.94
9 Vaish (Reich) 20.21
10 Makrani (HGDP) 21.71
11 Kalash (HGDP) 21.97
12 Meghawal (Reich) 22.33
13 Cochin_Jews (Behar) 23.35
14 TN_Brahmin (Xing) 25.62
15 AP_Brahmin (Xing) 26.07
16 Srivastava (Reich) 26.2
17 Indian (Dodecad) 27.8
18 Nepalese (Xing) 27.92
19 Tharu (Reich) 30.8
20 Velama (Reich) 32.14
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 85.8% Pathan (HGDP) + 14.2% FIN (1000Genomes) @ 4.04
2 86.4% Pathan (HGDP) + 13.6% Swedish (Dodecad) @ 4.24
3 86.8% Pathan (HGDP) + 13.2% Norwegian (Dodecad) @ 4.38
4 80.9% Pakistani (Xing) + 19.1% Swedish (Dodecad) @ 4.44
5 86.4% Pathan (HGDP) + 13.6% Finnish (Dodecad) @ 4.73
6 81.5% Pakistani (Xing) + 18.5% Norwegian (Dodecad) @ 4.73
7 80.4% Pakistani (Xing) + 19.6% FIN (1000Genomes) @ 4.9
8 78.6% Sindhi (HGDP) + 21.4% FIN (1000Genomes) @ 5.12
9 87.5% Pathan (HGDP) + 12.5% Irish (Dodecad) @ 5.16
10 80.5% Kashmiri_Pandit (Reich) + 19.5% Swedish (Dodecad) @ 5.19
11 81% Kashmiri_Pandit (Reich) + 19% Norwegian (Dodecad) @ 5.2
12 79.4% Sindhi (HGDP) + 20.6% Swedish (Dodecad) @ 5.26
13 87.4% Pathan (HGDP) + 12.6% British_Isles (Dodecad) @ 5.27
14 79.5% Pakistani (Xing) + 20.5% Argyll (1000 Genomes) @ 5.28
15 85.7% Pathan (HGDP) + 14.3% German (Dodecad) @ 5.29
16 80.4% Pakistani (Xing) + 19.6% Mixed_Germanic (Dodecad) @ 5.31
17 79.2% Pakistani (Xing) + 20.8% German (Dodecad) @ 5.31
18 86% Pathan (HGDP) + 14% Argyll (1000 Genomes) @ 5.34
19 87.4% Pathan (HGDP) + 12.6% British (Dodecad) @ 5.35
20 86.3% Pathan (HGDP) + 13.7% Orkney (1000 Genomes) @ 5.38
Oracle-4
Kit Num: M611023
Threshold of components set to 1.000
Threshold of method set to 0.25%
Personal data has been read. 20 approximations mode.
Gedmatch.Com
Dodecad V3 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.
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):
# Population Percent
1 South_Asian 35.99
2 West_Asian 21.97
3 West_European 21.11
4 East_European 9.52
5 Mediterranean 6.69
6 Northeast_Asian 3.31
Finished reading population data. 227 populations found.
12 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Pathan_HGDP @ 10.620770
2 Burusho_HGDP @ 13.751746
3 Pakistani_Xing @ 14.940428
4 Kashmiri_Pandit_Reich @ 15.437400
5 Sindhi_HGDP @ 16.503302
6 Balochi_HGDP @ 20.148165
7 Brahui_HGDP @ 21.380598
8 Bnei_Menashe_Jews_Behar @ 22.006826
9 Vaish_Reich @ 22.062916
10 Makrani_HGDP @ 24.003454
11 Meghawal_Reich @ 24.483562
12 Kalash_HGDP @ 24.854380
13 Cochin_Jews_Behar @ 25.585155
14 Nepalese_Xing @ 27.843395
15 TN_Brahmin_Xing @ 28.133883
16 AP_Brahmin_Xing @ 28.570765
17 Srivastava_Reich @ 28.613340
18 Indian_Dodecad @ 30.536018
19 Tharu_Reich @ 33.472000
20 Velama_Reich @ 35.246300
Using 2 populations approximation:
1 50% GIH_HapMap +50% Stalskoe_Xing @ 9.099011
Using 3 populations approximation:
1 50% GIH_HapMap +25% Lezgins_Behar +25% Slovenian_Xing @ 3.782596
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++
1 Balochi_HGDP + FIN_1000Genomes + GIH_HapMap + Kalash_HGDP @ 2.476054
2 Brahui_HGDP + FIN_1000Genomes + GIH_HapMap + Kalash_HGDP @ 2.573900
3 FIN_1000Genomes + Kalash_HGDP + Pathan_HGDP + Velama_Reich @ 3.011649
4 FIN_1000Genomes + GIH_HapMap + Kalash_HGDP + Makrani_HGDP @ 3.134482
5 Balochi_HGDP + FIN_1000Genomes + INS_SGVP + Kalash_HGDP @ 3.201520
6 Adygei_HGDP + FIN_1000Genomes + GIH_HapMap + GIH_HapMap @ 3.233095
7 Brahui_HGDP + FIN_1000Genomes + INS_SGVP + Kalash_HGDP @ 3.291386
8 Balochi_HGDP + FIN_1000Genomes + Indian_Dodecad + Kalash_HGDP @ 3.297297
9 Burusho_HGDP + German_Dodecad + Indian_Dodecad + Kalash_HGDP @ 3.335942
10 German_Dodecad + Indian_Dodecad + Kalash_HGDP + Kashmiri_Pandit_Reich @ 3.365782
11 German_Dodecad + Indian_Dodecad + Kalash_HGDP + Pathan_HGDP @ 3.376734
12 German_Dodecad + Kalash_HGDP + Pakistani_Xing + Meghawal_Reich @ 3.413150
13 German_Dodecad + Kalash_HGDP + Pakistani_Xing + Srivastava_Reich @ 3.468611
14 Brahui_HGDP + FIN_1000Genomes + Indian_Dodecad + Kalash_HGDP @ 3.480638
15 German_Dodecad + Indian_Dodecad + Kalash_HGDP + Pakistani_Xing @ 3.508936
16 FIN_1000Genomes + Indian_Dodecad + Kalash_HGDP + Pathan_HGDP @ 3.517378
17 German_Dodecad + Kalash_HGDP + Sindhi_HGDP + Meghawal_Reich @ 3.546621
18 German_Dodecad + Kalash_HGDP + Sindhi_HGDP + Srivastava_Reich @ 3.558657
19 German_Dodecad + GIH_HapMap + Kalash_HGDP + Pathan_HGDP @ 3.561780
20 German_Dodecad + Kalash_HGDP + Pakistani_Xing + TN_Brahmin_Xing @ 3.562238
Done.
Elapsed time 0.6074 seconds.
EUtest Admixture Proportions
EUtest Admixture Proportions
This utility uses the Eurogenes EUtest model, created by Davidski (Polako). Questions and comments about this model
should be directed to him at his Eurogenes Ancestry Project blog.
Kit Number: M611023 Elapsed Time: 11.97 seconds
Population
SOUTH_BALTIC 6.04
EAST_EURO 14.38
NORTH-CENTRAL_EURO 8.54
ATLANTIC 5.21
WEST_MED -
EAST_MED 2.40
WEST_ASIAN 22.81
MIDDLE_EASTERN -
SOUTH_ASIAN 40.41
EAST_AFRICAN -
EAST_ASIAN -
SIBERIAN 0.19
WEST_AFRICAN -
Web site and contents ©Copyright 2011-2018 by GEDmatch, Inc.
Genealogy and DNA data remains the property of the submitter.
Each Admixture Proportions 'calculator' model remains the property of its developer.
141360 SNPs used in this evaluation
Oracle
GEDmatch.Com Oracle
This version of GEDmatch Oracle is based on 'Oracle v1' by Dienekes Pontikos. His original program was developed as part of the Dodecad Ancestry Project. More information on Dienekes' orignal program can be found here.
Many thanks also to Zack Ajmal for helping us get this web version of Dienekes' Oracle program developed.
EUtest Oracle results:
EUtest Oracle population reference data revised 06 Nov 2012.
Kit M611023
Admix Results (sorted):
# Population Percent
1 SOUTH_ASIAN 40.41
2 WEST_ASIAN 22.81
3 EAST_EURO 14.38
4 NORTH-CENTRAL_EURO 8.54
5 SOUTH_BALTIC 6.04
6 ATLANTIC 5.21
7 EAST_MED 2.4
8 SIBERIAN 0.19
9 WEST_AFRICAN 0.03
Single Population Sharing:
# Population (source) Distance
1 Burusho 12.65
2 Kalash 12.66
3 Sindhi 14.03
4 Balochi 20.42
5 Brahui 21.09
6 IN 23.95
7 Gujarati 27.13
8 Bangladeshi 28.52
9 Lezgin 39.43
10 IR 40.8
11 Kurdish 43.43
12 TR 45.59
13 Serbian 45.7
14 RO 46.04
15 HU 46.55
16 AT 46.93
17 Udmurt 47.05
18 East_Russian 47.42
19 South_Indian 47.6
20 Erzya 48.16
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 78.9% Sindhi + 21.1% North_Swedish @ 4.9
2 79.2% Sindhi + 20.8% South_Finnish @ 5
3 79.2% Sindhi + 20.8% South_&_Central_Swedish @ 5.15
4 79.6% Sindhi + 20.4% EE @ 5.17
5 79.4% Sindhi + 20.6% NO @ 5.23
6 79% Sindhi + 21% East_Finnish @ 5.32
7 79.6% Sindhi + 20.4% DK @ 5.77
8 79% Sindhi + 21% West_Russian @ 5.79
9 78.7% Sindhi + 21.3% East_Russian @ 5.83
10 80.6% Sindhi + 19.4% LIT @ 5.89
11 79.7% Sindhi + 20.3% Belorussian @ 5.91
12 79.3% Sindhi + 20.7% PL @ 5.91
13 79.7% Sindhi + 20.3% IE @ 5.95
14 79.8% Sindhi + 20.2% Orcadian @ 5.95
15 79% Sindhi + 21% Erzya @ 5.98
16 80.1% Sindhi + 19.9% Scottish @ 6
17 79.4% Sindhi + 20.6% North_Russian @ 6
18 80.2% Sindhi + 19.8% Northwest_Russian @ 6.02
19 79.1% Sindhi + 20.9% Ukrainian-Russian @ 6.14
20 79.4% Sindhi + 20.6% UA @ 6.23
Oracle-4
Kit Num: M611023
Threshold of components set to 1.000
Threshold of method set to 0.25%
Personal data has been read. 20 approximations mode.
Gedmatch.Com
EUtest 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.
EUtest Oracle population reference data revised 06 Nov 2012.
Admix Results (sorted):
# Population Percent
1 SOUTH_ASIAN 40.41
2 WEST_ASIAN 22.81
3 EAST_EURO 14.38
4 NORTH-CENTRAL_EURO 8.54
5 SOUTH_BALTIC 6.04
6 ATLANTIC 5.21
7 EAST_MED 2.40
Finished reading population data. 78 populations found.
13 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Burusho @ 12.943749
2 Kalash @ 14.431000
3 Sindhi @ 15.548518
4 Balochi @ 23.646452
5 Brahui @ 24.427879
6 IN @ 25.689844
7 Gujarati @ 29.042265
8 Bangladeshi @ 29.992252
9 Lezgin @ 43.094360
10 IR @ 45.854649
11 Kurdish @ 48.798050
12 Serbian @ 49.515755
13 RO @ 49.889900
14 Udmurt @ 50.106464
15 HU @ 50.354832
16 TR @ 50.438099
17 AT @ 50.978699
18 Komi @ 50.996265
19 South_Indian @ 51.233082
20 East_Russian @ 51.384666
Using 2 populations approximation:
1 50% Kalash +50% Sindhi @ 11.927919
Using 3 populations approximation:
1 50% Kalash +25% North_Swedish +25% South_Indian @ 5.297345
Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++++
1 Gujarati + Kalash + North_Swedish + Sindhi @ 4.320499
2 Gujarati + Kalash + Sindhi + South_&_Central_Swedish @ 4.610767
3 Gujarati + Kalash + NO + Sindhi @ 4.834973
4 Gujarati + Kalash + Sindhi + South_Finnish @ 4.874959
5 IN + Kalash + North_Swedish + Sindhi @ 4.926076
6 IN + Kalash + Sindhi + South_&_Central_Swedish @ 5.208840
7 EE + Gujarati + Kalash + Sindhi @ 5.263737
8 Gujarati + Kalash + PL + Sindhi @ 5.273301
9 East_Finnish + Gujarati + Kalash + Sindhi @ 5.274107
10 Kalash + Kalash + North_Swedish + South_Indian @ 5.297345
11 Gujarati + Kalash + Sindhi + West_Russian @ 5.351830
12 IN + Kalash + Sindhi + South_Finnish @ 5.380657
13 DK + Gujarati + Kalash + Sindhi @ 5.388185
14 IN + Kalash + NO + Sindhi @ 5.417751
15 Kalash + Kalash + South_&_Central_Swedish + South_Indian @ 5.475104
16 Gujarati + Kalash + Sindhi + West_&_Central_German @ 5.570788
17 Gujarati + Kalash + NL + Sindhi @ 5.661067
18 Kalash + Kalash + NO + South_Indian @ 5.662679
19 Gujarati + Kalash + Sindhi + UA @ 5.674891
20 Gujarati + Kalash + Orcadian + Sindhi @ 5.677062
Done.
Elapsed time 0.0849 seconds.
Eurogenes K9b Admixture Proportions
Eurogenes K9b Admixture Proportions
This utility uses the Eurogenes K9b model, created by Davidski (Polako). This model approximates the Geno 2.0 analysis. Questions and comments about this model
should be directed to him at his Project Blog.
Kit Number: M611023 Elapsed Time: 9.20 seconds
Population
Southwest_Asian 56.51
Native_American 3.02
Northeast_Asian 0.50
Mediterranean 5.12
North_European 20.97
Southeast_Asian 7.91
Oceanian 4.15
South_African 0.82
Sub-Saharan_African 1.00
Web site and contents ©Copyright 2011-2018 by GEDmatch, Inc.
Genealogy and DNA data remains the property of the submitter.
Each Admixture Proportions 'calculator' model remains the property of its developer.
107787 SNPs used in this evaluation