My GEDmatch Admixture Results

Updated April 12, 2019: Added Tags.

Update March 17, 2018: For the GEDmatch Admixture results, the numbers usually refer to percent of DNA from each region.  However, each Admixture test is geared towards a specific ethnicity or region so they should be understood in that light. I generally didn’t link where the links were obviously broken or had been changed.

Update (February 11, 2018): I added the link to a tool that uses your Eurogenes K36 ethnicity results to generate a map. You have to manually enter the numbers from your K36 result in the appropriate field.

Note: All of these GEDmatch admixture tools were run using my 23andMe results (I included 23andMe ethnic results below as a comparison to the other admixture results to give a baseline) and the default settings for each tool. This was done to provide a consistent base to compare against my 23andMe results. Any ALL CAPS language is a result of copy/pasting as it was the easiest and fastest way to get the information on here so please don’t blame me for shouting.

It took a while as there are too many admixture tests on GEDmatch.  I didn’t include links (those are available for most of the admixture results after you run them) or screenshots. For the most part, once you run the admixture result for a kit, there is usually a link to learn more about the admixture test. I tried to find replacement links on the Wayback Machine for any broken links, but there’s no guarantee additional broken links won’t occur.

For the different classifications of ethnicity, check with each admixture test to see how they define them since the tools were often designed by different people. Also, most of the tests were developed for specific ethnic groups and will work poorly when used by somebody of a significantly different ethnicity

– – – –

  (23andMe, v3 chip – for comparison purposes since I used this kit to generate the GEDmatch admixture results):
European 99.1%
Northwestern European 94.1%
British & Irish 39.4%
French & German 22.9%
Scandinavian 4.3%
Finnish 0.0%
Broadly Northwestern European 27.5%
Southern European 3.2%
Balkan 0.4%
Sardinian 0.0%
Italian 0.0%
Iberian 0.0%
Broadly Southern European 2.9%
Ashkenazi Jewish 0.1%*
Eastern European 0.0%
Broadly European 1.7%
South Asian 0.0%
Broadly South Asian 0.0%
East Asian & Native American 0.9%
Native American 0.8%

MDLP K11 Modern Admixture Proportions

The K11 model of Admixture – waiting full description
Population
African 0.09
Amerindian –
ASI –
Basal 1.73
Iran-Mesolithic 2.42
Neolithic 36.27
Oceanic 0.07
EHG 24.30
SEA 0.19
Siberian 0.76
WHG 34.17

MDLP K16 Modern Admixture Proportions
Population
Amerindian –
Ancestor –
Steppe 23.98
Indian –
Arctic 0.33
Australian –
Caucasian 19.39
EastAfrican –
NorthEastEuropean 24.28
NearEast 0.08
Neolithic 31.51
NorthAfrican 0.41
Oceanic –
Siberian –
SouthEastAsian –
Subsaharian –

MDLP K23b Admixture Proportions
Population
Amerindian 0.36
Ancestral_Altaic 6.11
South_Central_Asian 4.02
Arctic –
South_Indian 0.21
Australoid 0.09
Austronesian –
Caucasian 23.17
Archaic_Human 0.14
East_African –
East_Siberian 0.31
European_Early_Farmers 27.57
Khoisan –
Melano_Polynesian 0.28
Archaic_African –
Near_East 1.98
North_African –
Paleo_Siberian 0.18
African_Pygmy –
South_East_Asian –
Subsaharian –
Tungus-Altaic –
European_Hunters_Gatherers 35.58

MDLP World-22 Admixture Proportions
Population
Pygmy –
West-Asian 8.11
North-European-Mesolithic 3.75
Indo-Tibetan 0.20
Mesoamerican 0.69
Arctic-Amerind –
South-America_Amerind –
Indian –
North-Siberean –
Atlantic_Mediterranean_Neolithic 35.01
Samoedic 2.00
Indo-Iranian 0.60
East-Siberean –
North-East-European 46.09
South-African –
North-Amerind 0.19
Sub-Saharian –
East-South-Asian –
Near_East 2.70
Melanesian 0.66
Paleo-Siberian –
Austronesian –

MDLP World Admixture Proportions
Population
Caucaus_Parsia 9.12
Middle_East 3.67
Indian 0.09
South_and_West_European 46.53
Melanesian 0.83
Sub_Saharian –
North_and_East_European 38.19
Arctic_Amerind 0.61
East_Asian –
Paleo_African –
Mesoamerican 0.65
North_Asian 0.32

– – – –

Eurogenes (around 13 different admixture tests)

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.

Population
North_Atlantic 46.99
Baltic 23.94
West_Med 13.52
West_Asian 4.28
East_Med 7.58
Red_Sea 0.55
South_Asian –
East_Asian 0.56
Siberian 0.13
Amerindian 1.17
Oceanian 1.27
Northeast_African –
Sub-Saharan –

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.

Population
North_Sea 33.73
Atlantic 26.50
Baltic 10.54
Eastern_Euro 9.82
West_Med 9.38
West_Asian 3.21
East_Med 4.51
Red_Sea 0.34
South_Asian –
Southeast_Asian 0.10
Siberian –
Amerindian 0.83
Oceanian 1.04
Northeast_African –
Sub-Saharan –

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

Population
ANE 15.03
ASE 2.52
WHG-UHG 62.63
East_Eurasian 0.72
West_African 0.55
East_African –
ENF 18.54

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.

Population
Southwest_Asian 8.18
Native_American 1.65
Northeast_Asian 0.53
Mediterranean 17.70
North_European 68.31
Southeast_Asian 1.68
Oceanian 1.37
South_African 0.58
Sub-Saharan_African –

Eurogenes K9 Admixture Proportions

This utility uses the Eurogenes K9 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 K9 populations is available HERE.

Population descriptions are available HERE (link appears to be broken and here is the Wayback Machine version of it https://web.archive.org/web/20151204225958/http://bga101.blogspot.com.au:80/2012/05/geographicethnic-peaks-in-eurogenes.html).
Population
South Asian 0.84
Caucasus 7.15
Southwest Asian 1.04
North Amerindian + Arctic 1.05
Siberian 0.64
Mediterranean 26.40
East Asian –
West African –
North European 62.87

Eurogenes K10 Admixture Proportions

This utility uses the Eurogenes K10 model, created by Davidski (Polako). Questions and comments about this model should be directed to him at his Eurogenes blog (link broken, but found it on the Wayback Machine at https://web.archive.org/web/20150421235513/http://bga101.blogspot.com.au/2012/04/eurogenes-admixture-utilities-at.html). We appreciate him making this excellent tool available here.

A map showing the K10 populations is available HERE.

Population descriptions are available HERE.
Population
South Asian 0.72
Caucasus 7.29
Southwest Asian 1.09
North Amerindian + Arctic 1.05
Siberian 0.51
Mediterranean 15.30
East Asian –
West African –
East European 20.79
North Atlantic 53.25

Eurogenes K11 Admixture Proportions

This utility uses the Davidski/Polako Eurogenes K11 model. 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 K11 populations is available HERE.

Population descriptions are available HERE.

Population
South Asian 0.51
Caucasus 7.01
Southwest Asian 0.90
North Amerindian + Arctic 0.98
Siberian 0.11
Mediterranean 14.64
East Asian –
West African –
Volga-Ural 8.78
South Baltic 15.58
North Atlantic 51.50

Eurogenes K12 Admixture Proportions

This utility uses the Eurogenes K12 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 K12 populations is available HERE.

Population descriptions are available HERE.

Population
South Asian 0.41
Caucasus 6.66
Southwest Asian 0.81
North Amerindian + Arctic 0.96
Siberian 0.10
Mediterranean 13.25
East Asian –
West African –
Volga-Ural 7.37
South Baltic 12.35
Western European 28.12
North Sea 29.98

Eurogenes K12b Admixture Proportions

This utility uses the revised Eurogenes K12b model, created by Davidski (Polako). The old K12b model has been removed. 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 K12b populations is available HERE.

Population descriptions are available HERE.

Population
Western European 42.79
Siberian 1.24
East African –
West Central Asian 0.12
South Asian 0.95
West African –
Caucasus 7.69
Finnish 6.99
Mediterranean 14.25
Southwest Asian 2.34
North European 23.61
East Asian –

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.

Population
Amerindian 0.38
Arabian –
Armenian –
Basque 6.49
Central_African –
Central_Euro 6.69
East_African –
East_Asian –
East_Balkan 2.53
East_Central_Asian –
East_Central_Euro 3.75
East_Med –
Eastern_Euro 5.91
Fennoscandian 8.79
French 6.36
Iberian 12.32
Indo-Chinese –
Italian 8.85
Malayan –
Near_Eastern –
North_African –
North_Atlantic 14.34
North_Caucasian 3.12
North_Sea 18.27
Northeast_African –
Oceanian 0.23
Omotic –
Pygmy –
Siberian –
South_Asian –
South_Central_Asian –
South_Chinese –
Volga-Ural 0.71
West_African –
West_Caucasian –
West_Med 1.25

Taux de similitude website (Not a GEDmatch admixture tool yet, but it uses your results from Eurogenes K36 results which is why I am putting it after the Eurogenes K36 section) it’s in French, but has English translations underneath the French): http://gen3553.pagesperso-orange.fr/ADN/similitude.htm – you will need your Eurogenes K36 ethnicity results to fill in the blanks on the website. You can also remove a population to see how much or little that population affects your results. You are looking for the dark red squares once you validate your numbers. I am not including the rest of the world maps as the highest number for other parts of the world were 54 or lower.

Taux de similitude K36

 

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.

Population
Anatolian Farmer 8.98
Baltic Hunter Gatherer 53.22
Middle Eastern Herder 1.78
East Asian Farmer –
South American Hunter Gatherer 0.97
South Asian Hunter Gatherer 0.42
North Eurasian Hunter Gatherer 0.56
East African Pastoralist –
Oceanian Hunter Gatherer 0.60
Mediterranean Farmer 33.45
Pygmy Hunter Gatherer –
Bantu Farmer –

Jtest Admixture Proportions

This utility uses the Eurogenes Jtest model, created by Davidski (Polako). Questions and comments about this model
should be directed to him at his Eurogenes Ancestry Project blog.

Population
SOUTH_BALTIC 11.73
EAST_EURO 12.69
NORTH-CENTRAL_EURO 24.46
ATLANTIC 26.41
WEST_MED 12.21
ASHKENAZI 3.55
EAST_MED 4.67
WEST_ASIAN 3.99
MIDDLE_EASTERN –
SOUTH_ASIAN –
EAST_AFRICAN 0.12
EAST_ASIAN –
SIBERIAN 0.17
WEST_AFRICAN –

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.

Population
SOUTH_BALTIC 11.79
EAST_EURO 12.88
NORTH-CENTRAL_EURO 24.69
ATLANTIC 26.89
WEST_MED 12.76
EAST_MED 6.00
WEST_ASIAN 4.62
MIDDLE_EASTERN –
SOUTH_ASIAN –
EAST_AFRICAN 0.13
EAST_ASIAN –
SIBERIAN 0.23
WEST_AFRICAN –

–  – – –

Dodecad (5 admixture choices):
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.

Population
SOUTH_BALTIC 11.79
EAST_EURO 12.88
NORTH-CENTRAL_EURO 24.69
ATLANTIC 26.89
WEST_MED 12.76
EAST_MED 6.00
WEST_ASIAN 4.62
MIDDLE_EASTERN –
SOUTH_ASIAN –
EAST_AFRICAN 0.13
EAST_ASIAN –
SIBERIAN 0.23
WEST_AFRICAN –

Africa9 Admixture Proportions

The Africa9 admixture calculator is courtesy of Dienekes Pontikos and was developed as part of the Dodecad Ancestry Project; more information here.

Population
Europe 69.29
NW_Africa 6.52
SW_Asia 22.94
E_Africa –
S_Africa –
Mbuti –
W_Africa –
Biaka –
San 1.22

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.

Population
Amerindian 0.77
East_Asian –
African 0.11
Atlantic_Baltic 71.23
Australasian 0.54
Siberian 1.28
Caucasus_Gedrosia 12.10
Southern 13.96
South_Asian –

Dodecad K7b Admixture Proportions

The K7b admixture calculator is courtesy of Dienekes Pontikos and was developed as part of the Dodecad Ancestry Project; more information here.

K7b is an update of the eurasia7 calculator. It has been built on exactly the same dataset as K12b but at a lower (K=7) level of detail.

Population
South_Asian –
West_Asian 11.57
Siberian 1.46
African 0.15
Southern 14.97
Atlantic_Baltic 71.85
East_Asian –

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.

Population
Gedrosia 7.83
Siberian 1.09
Northwest_African –
Southeast_Asian 0.09
Atlantic_Med 38.65
North_European 41.93
South_Asian –
East_African 0.15
Southwest_Asian 1.39
East_Asian –
Caucasus 8.80
Sub_Saharan 0.07

– – – –

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.

Population
S-Indian –
Baloch 8.87
Caucasian 8.93
NE-Euro 48.39
SE-Asian –
Siberian 0.61
NE-Asian –
Papuan 0.56
American 0.75
Beringian –
Mediterranean 31.02
SW-Asian 0.75
San 0.08
E-African –
Pygmy –
W-African –

– – – –

One of several EthioHelix admixture tests

EthioHelix K10 + French Admixture Proportions

EthioHelix Africa K10 + French – French acts as a proxy for European ancestry in this case. Results are currently most meaningful for persons who are a mix of African and European. For more information, see the Blog Post. In particular, see the Africa_V2 run at the bottom of the page, as that is the specific run that these results are based on. That way, you can see the exact steps taken to achieve these results. Also, see the Gradient Maps to get a better picture of how the clusters are spatially distributed.

Population
Nilo-Saharan –
North-Africa 14.85
Mbuti-Pygmy –
Eastern-Bantu –
Khoi-San –
West-Africa –
Hadza 1.41
Biaka-Pygmy 1.15
French 82.26
Omotic 0.33

EthioHelix K10 + Japanese Admixture Proportions

EthioHelix Africa K10 + Japanese – Japanese acts as a proxy for Asian ancestry in this case. Results are currently most meaningful for persons who are a mix of African and Asian. For more information, see the Blog Post. In particular, see the Africa_V2 run at the bottom of the page, as that is the specific run that these results are based on. That way, you can see the exact steps taken to achieve these results. Also, see the Gradient Maps to get a better picture of how the clusters are spatially distributed.

Population
Nilo-Saharan –
Omotic 5.33
Mbuti-Pygmy 0.51
East-Africa1 1.14
Khoi-San 0.45
West-Africa 0.37
Hadza –
Biaka-Pygmy 1.25
North-Africa 72.30
Japanese 18.65

EthioHelix K10 + Palestinian Admixture Proportions

EthioHelix Africa K10 + Palestinian – Palestinian acts as a proxy for Middle Eastern ancestry in this case. Results are currently most meaningful for persons who are a mix of African and Middle Eastern. For more information, see the Blog Post. In particular, see the Africa_V2 run at the bottom of the page, as that is the specific run that these results are based on. That way, you can see the exact steps taken to achieve these results. Also, see the Gradient Maps to get a better picture of how the clusters are spatially distributed.

Population
Nilo-Saharan –
East-Africa1 –
Mbuti-Pygmy 0.05
Eastern-Bantu 0.54
Khoi-San 2.21
West-Africa –
Hadza 1.89
Biaka-Pygmy 0.42
Palestinian 88.97
Omotic 5.92

EthioHelix K10 Africa Only Admixture Proportions

EthioHelix Africa K10 – Results are currently only meaningful for persons who are 100% African. For more information, see the Blog Post. In particular, see the Africa_V2 run at the bottom of the page, as that is the specific run that these results are based on. That way, you can see the exact steps taken to achieve these results. Also, see the Gradient Maps to get a better picture of how the clusters are spatially distributed.

Population
Nilo-Saharan –
East-Africa2 34.71
Mbuti-Pygmy –
East_Africa1 –
Khoi-San –
West_Africa –
Hadza 0.25
Biaka-Pygmy –
North-Africa 64.55
Omotic 0.45

– – – –

One of six (6) puntDNAL admixture tests

puntDNAL K10 Ancient Admixture Proportions

This calculator incorporates the newly discovered Caucasus HG as well as Early Neolithic Farmers and Western European HG. The description about the components and the modern populations it peaks are given in the link below. For more information about the Caucasus HG click HERE. Questions and comments about this calculator should be directed to Abdullahi Warsame at puntdnalking@gmail.com

Population
ASI –
Sub-Saharan –
Oceanian 1.78
Beringian 1.43
ENF 27.07
CHG 23.59
Siberian –
E_Asian –
WHG 46.13
Amerindian –

puntDNAL K12 Ancient Admixture Proportions

The puntDNAL K12 ancient calculator utilizes public data from the Reich Lab in Harvard, the Estonian Biocentre, and data from my personal collection in order to create ancient components, which include the following: Anatolian neolithic farmer, European hunter-gatherer, and Caucasus hunter-gatherer. The European hunter-gatherer component is a newer component that is composed of all three European hunter-gatherers, such as Western hunter-gatherer, Eastern hunter-gatherer, and Scandinavian hunter-gatherer. Furthermore, I divided this calculator into two versions: the puntDNAL K12a version utilizes ancient oracle and the puntDNAL K12m version utilizes modern oracle. Questions and comments about this calculator should be directed to Abdullahi Warsame at puntdnalking@gmail.com

Population
Sub-Saharan –
Amerindian 0.20
South_Asian –
Near_East 1.34
Siberian 1.01
European_HG 41.26
Caucasus_HG 18.10
South_African_HG 0.34
Anatolian_NF 36.43
East_Asian –
Oceanian 1.31
Beringian –

puntDNAL K12 Modern Admixture Proportions

The puntDNAL K12 ancient calculator utilizes public data from the Reich Lab in Harvard, the Estonian Biocentre, and data from my personal collection in order to create ancient components, which include the following: Anatolian neolithic farmer, European hunter-gatherer, and Caucasus hunter-gatherer. The European hunter-gatherer component is a newer component that is composed of all three European hunter-gatherers, such as Western hunter-gatherer, Eastern hunter-gatherer, and Scandinavian hunter-gatherer. Furthermore, I divided this calculator into two versions: the puntDNAL K12a version utilizes ancient oracle and the puntDNAL K12m version utilizes modern oracle. Questions and comments about this calculator should be directed to Abdullahi Warsame at puntdnalking@gmail.com

Population
Sub-Saharan –
Amerindian 0.20
South_Asian –
Near_East 1.34
Siberian 1.01
European_HG 41.26
Caucasus_HG 18.10
South_African_HG 0.34
Anatolian_NF 36.43
East_Asian –
Oceanian 1.31
Beringian –

puntDNAL K13 Global Admixture Proportions

This calculator will be periodically updated as new data becomes available. Questions and comments about this calculator should be directed to Abdullahi Warsame at puntdnalking@gmail.com

Population
West_Asia 8.45
NE_Europe 46.24
Americas 1.52
Siberia 0.45
Oceania 1.12
South_Asia 1.44
NE_Asia 0.22
East_Africa –
SE_Asia 0.10
SW_Europe 36.45
SW_Asia 2.98
West_Africa –
South_Africa 1.02

puntDNAL K15 Admixture Proportions

This calculator focuses primarily on Africa (particularly East Africa), West Asia, and Europe. If you are mostly African, West Asian, or European, then you will find it useful and Accurate. It will be periodically updated as new data becomes available. Questions and comments about this calculator should be directed to Abdullahi Warsame at puntdnalking@gmail.com

Click here for additional information.

Population
S_Indian –
Mediterranean 32.18
Siberian 0.32
Wht_Nile_River –
Amerindian 0.77
S_African 0.58
E_Asian –
Caucasian 9.95
NE_European 53.11
Omo_River –
W_African –
Horn_Of_Africa –
Oceanian 0.74
Beringian 0.44
SW_Asian 1.90

puntDNAL K8 African only Admixture Proportions

This utility uses the pundDNAL K8b calculator, created by Abdullahi Warsame. Questions and comments about this calculator should be directed to him at puntdnalking@gmail.com

Population
Nilo_Saharan 1.93
Ubangian_Congo 1.36
W_Benue_Congo –
Eastern_HG 1.85
E_Benue_Congo 0.42
Omotic 4.90
Southern_HG 0.23
Western_Semitic 89.30

– – – –

One of six (6) Gedrosia admixture tests

Eurasia K9 ASI Admixture Proportions

Eurasia 9 ASI/CHG – This calculator is modeled around the ancient ancestral South Indian component, ASI, which peaks in the Onge, Andamanese, and a few Indian tribal populations. The Onge are believed to have taken the coastal migration route from Arabia to India over 40,000 years ago. The Onge together with the other Andamanese people that inhabit the Andaman Islands, which are governed by India, are an endangered species, and number only in the few hundreds. The populations used to source ASI allele frequencies have much less W Eurasian admixture than the majority of present day Indians. These populations include Paniya, Kharia, Ho, and Puliyar. To increase the accuracy of the calculator, a common denominator set of SNPs for the sample genomes was used. This common denominator set of SNPs turned out to be around 33,000, which is more than adequate because the fixation distances between the calculator components is relatively high. To prevent a W Eurasian heavy Indian cluster from forming, I did not include the multitude of Indian populations that I would normally include, in this run. Consequently, Indians may find their oracle distances to be high, since the majority of Indian proxy groups are missing from this calculator.

For further questions, please contact the calculator creator at Dilawerkh4@gmail.com.

Population
SE_Asian 0.10
Early_Neolithic_Farmers 23.60
SW_Asian 8.88
Ancestral_South_Indian –
Eastern_Hunter_Gatherer 15.40
WHG 40.25
Siberian_E_Asian 1.89
Caucausus_Hunter_Gatherer 9.86
W_African –

Gedrosia K3 Admixture Proportions

This calculator calculates an individual’s E Eurasian, W Eurasian, and Sub-Saharan African admixture.

Additional information about this calculator HERE.

For further questions, please contact the calculator creator at Dilawerkh4@gmail.com.

Click here for additional information.

Population
E_Eurasian 3.63
SSA 0.20
W_Eurasian 96.16

Eurasia K14 Neolithic Admixture Proportions

This calculator’s focus is calculation of admixture proportions and modeling of an individual based on a collection of ancient Neolithic and Bronze Age genomes from across Eurasia.

For information about population abreviations and descriptions: Wolfgang Haak, et al, Haak population map and Morten Allentoft, et al or Allentoft population map. Additional information about this calculator HERE.

For further questions, please contact the calculator creator at Dilawerkh4@gmail.com.

Click here for additional information.

Population
N_Amerindian 1.23
Afansievo_Yamnaya 16.82
Kalash 3.29
Siberian –
S_Amerindian 1.78
Sub_Saharan 0.42
SE_Asian –
E_African –
SW_Asian 5.00
Neolithic_Balkan_Farmers 15.29
SHG_WHG 13.33
Early_European_Farmers 41.76
S_Indian –
Papuan 1.07

Gedrosia K12 Admixture Proportions

This calculator has been designed for individuals of predominately South Asian and West Asian ancestry for inferring gedrosian Balochi admixture. Since those populations were mostly used to source allele frequencies, individuals with majority ancestry from outside those regions will most likely find this calculator less accurate and informative.

Many Indian tribal populations were used to source S. Indian allele frequencies. Although the West Asian populations used are adequate, an update may be released in the future which will include a few more W Asian populations.

The Balochi signal peaks in the Balochi/Brahui/Makrani populations of Pakistan. The Bronze age Sintashta Steppe Herder signal in this calculator reflects genetic Eurasian steppe admixture in excess of what is included in the Caucasus or Balochi signals.

Also, since the genotype rate has been optimized for 23andMe users, users genotyped with FTDNA or Ancestry DNA will have slightly lower accurate results than 23andMe users.

For further questions, please contact the calculator creator at Dilawerkh4@gmail.com.

Click here for additional information.

Population
S_INDIAN –
SUB_SAHARAN –
EARLY_EUROPEAN_FARMERS 36.46
SW_ASIAN 5.78
W_SIBERIAN 0.85
SE_ASIAN –
BALOCHI 2.70
SINTASHTA_STEPPE_HERDERS 38.12
INDO_TIBETAN 0.41
CAUCASUS 14.82
E_AFRICAN –
E_SIBERIAN 0.86

Ancient Eurasia K6 Admixture Proportions

Various ancient genomes, including the newly sequenced ancient Iranian and Near- Eastern ones were used to source allele frequencies for the calculator’s components.

For a discussion on the various ancient genomes used here, please refer to the following papers:

The genetic structure of the world’s first farmers, Lazaridis et al, 2016. http://biorxiv.org/content/early/2016/06/16/059311
The genetic history of Ice Age Europe, Fu et al, 2016, http://www.nature.com/nature/journal/v534/n7606/full/nature17993.html
Early Neolithic genomes from the eastern Fertile Crescent, Broushaki et al, 2016, http://science.sciencemag.org/content/early/2016/07/13/science.aaf7943<

Clones of various ancients were utilized to help form some of the clusters, and make results somewhat consistent with results obtained using formal methods such as qpAdm.

A brief description of the calculator’s components:

Ancestral North Eurasian (ANE): Upper-Paleolithic genomes from the Lake Baikal region of Siberia, identified as Malta, Afontogora 2, and Afontogora 3, dated to 17 to 24 kya, when Mammoths roamed the area, form the ANE cluster.

Ancestral South Eurasian (ASE): This component is maximized in the Andamanese and Australian Aboriginals. These Eastern non-Africans are believed to have split from other out-of-African populations over 50 kya, and some related populations (ASI), are believed to have played a role in the ethnogenisis of South Asians.

E Asian: This component is maximized in groups such as the Han and Dai.

Natufian: This was an Epipaleolithic culture that existed from 12,500 to 9,500 BC in the area of Israel. They were derived about 50% from an original Out-of-Africa population, referred to as Basal Eurasians. If you are a European and show Natufian admixture, this does not imply that Natufians interacted with your ancestors. All it means is that Natufian like admixture was mediated to you via intermediaries, such as the early European Farmers from the Near East.

Western European Hunter Gatherers (WHG): This component maximizes in ancient samples known as Villabruna, La Brana, Bichon, Loschbour, and Hungarian KO1, also collectively referred to as WHG.

Sub-Saharan: Various African populations such as Yoruba and Esan were used to source the allele frequencies for this component.

For further questions, please contact the calculator creator at Dilawerkh4@gmail.com.

Population
Ancestral_North_Eurasian 17.68
Ancestral_South_Eurasian –
East_Asian 1.15
West_European_Hunter_Gartherer 44.64
Natufian 35.99
Sub_Saharan 0.54

 

Near East Neolithic K13 Admixture Proportions

The Near East Neolithic 13 calculator is based on the recently recovered ancient genomes from the Near East. The genomes were described in a recent 2016 paper, <93>The genetic structure of the world’s first farmers<94> by Losif Lazaridis et al. (http://biorxiv.org/content/early/2016/06/16/059311). For further information please reference the paper.

The allele frequencies for the calculator’s components are based on a combination of both extant samples, as well as ancient genomes described below.

Here is a brief description of some of the calculator<92>s component:

ANCESTRAL INDIAN: Ancestral Indians, also referred to as ASI in some papers, are a theoretical construct, which basically describes an ancient population of India, believed to have been similar to either the Onge of the Andaman Islands, or perhaps some of the Austroasiatic tribals of currently inhabiting the sub-continent. I decided to use the Kusunda , a tribe of former hunter-gatherers of the forests of western Nepal, since using them produced Iran Neolithic levels in South and West Asians, somewhat more consistent with those in the recent papers. IRAN NEOLITHIC: The reference for this component is primarily an Iranian Neolithic and Late Neolithic genome described in the Lazaridis 2016 paper. A few Iranian Chalcolithic samples were also used to supplement the defining allele frequencies for this component.

NATUFIAN: Is based on ancient genome recovered from the Levant. The Natufian culture was an Epipaleolithic culture that existed from 12,500 to 9,500 BC in the Levant.

EHG: Eastern European Hunter Gatherers.

WHG: Western European Hunter Gatherers.

SHG: Scandinavian Hunter Gatherers.

CHG: Caucausus Hunter Gatherers

EEF: European Early Farmers

For further questions, please contact the calculator creator at Dilawerkh4@gmail.com.

 

Population
SE_ASIAN –
ANATOLIA_NEOLITHIC 16.39
CHG_EEF 38.97
POLAR 1.70
EHG 17.13
SUB_SAHARAN 0.37
IRAN_NEOLITHIC 3.74
KARITIANA 0.36
ANCESTRAL_INDIAN –
NATUFIAN 6.29
SIBERIAN 0.39
PAPUAN –
SHG_WHG 14.64

 

About ICT Genealogist

Originally from Gulfport, Mississippi. Live in Wichita, Kansas now. Let's collaborateDealspotr.com
This entry was posted in 23andMe, Autosomal DNA, DNA, Geno 2.0 and tagged , , , , , . Bookmark the permalink.

8 Responses to My GEDmatch Admixture Results

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  3. edesorban says:

    What do the numbers mean?

    Like

    • kring1bc says:

      I updated the post to answer your question. For the most part, the numbers are a percentage so 1 or 1% means your DNA shows 1% DNA using whatever admixture tool you chose. I went with testing all of the admixture tools that were available on GEDmatch when I made the blog post. Many of the admixture tools were designed for specific ethnicity groups or locations/regions and will give potentially misleading percentages if you are of a different ethnicity. Also, a small percentage is more likely to be noise than a larger percentage. How small is considered noise depends on which expert you follow. I have seen experts give ranges of 1% or less, 3 – 5%, or even some with slightly higher than 5% as being possibly noise. The problem with any of the ethnic predictions involves them using DNA of people living in an area now. That’s great in the relatively small number of isolated places where the ethnic groups haven’t changed or mixed with other groups. My ancestors include some who lived in present-day Germany, but there’s no guarantee the people living there today are ethnically the same, or even ethnically close, to my ancestors. For my British ancestors, they lived in various parts of England and it’s unlikely those living in larger areas like London are the same ethnicity as my ancestors from the 1500 – 1700s.

      Like

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