Post Eurasia K10 CHG Admixture Proportions

[jingorex]

Eurasia K10 CHG Admixture Proportions

Eurasia K10 - Caucuses Hunter Gatherers

The focus of this calculator are about 47 recently sequenced ancient genomes described in Jones et al, Upper Palaeolithic genomes reveal deep roots of modern Eurasians, and in Genome-wide patters of selection in 230 ancient Eurasians.

It appears that the Caucuses Hunter Gatherers (CHG) are the mystery W Asian population described in Lazaridis et al, 'Massive migration from the steppe was a source for Indo-European languages in Europe', as having contributed to the Yamnaya Steppe Herders of Eurasia along with Eastern Hunter Gatherers (EHG).

This calculator uses two CHG genomes from Georgia in the Caucuses; a mesolithic (9700 year old) named Kotias, and an upper paleolithic male (13300 years old), named Satsurbila, to source transversion SNP allele frequencies. It also uses the genome of a 13700 year old upper paleolithic male named Bichon from Switzerland. This is in addition to other ancient genomes, and 1000+ individuals from various regions of the world.

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

Click here for additional information.

Kit Number:xx Elapsed Time: 2.37 seconds


Population
CHG 21.54
Amerindian 2.23
W_African -
Papuan 0.19
SW_Asian 4.44
S_Indian -
E_Asian -
WHG 40.09
Anatolian_Farmers 19.59
EHG 11.92

[de Burgh II]

Admix Results (sorted):

# Population Percent
1 WHG 40.36
2 Anatolian_Farmers 20.88
3 CHG 17.92
4 EHG 14.18
5 SW_Asian 4.18
6 S_Indian 2.44
7 Amerindian 0.04

[Hadouken]

Admix Results (sorted):

# Population Percent
1 CHG 42.13
2 Anatolian_Farmers 18.29
3 SW_Asian 15.52
4 WHG 7.96
5 S_Indian 7.67
6 EHG 3.9
7 E_Asian 3.45
8 W_African 0.56
9 Amerindian 0.53

[jingorex]

Admix Results (sorted):

# Population Percent
1 WHG 40.36
2 Anatolian_Farmers 20.88
3 CHG 17.92
4 EHG 14.18
5 SW_Asian 4.18
6 S_Indian 2.44
7 Amerindian 0.04




# Population Percent
1 WHG 40.09
2 CHG 21.54
3 Anatolian_Farmers 19.59
4 EHG 11.92
5 SW_Asian 4.44
6 Amerindian 2.23
7 Papuan 0.192


https://media.giphy.com/media/gtYaab8vCMWU8/giphy.gif

[frankhammer]

Admix Results (sorted):

# Population Percent
1 WHG 38.61
2 CHG 20.94
3 Anatolian_Farmers 19.06
4 EHG 15.22
5 SW_Asian 4.99
6 S_Indian 0.71
7 Amerindian 0.38
8 Papuan 0.09

[Petalpusher]

WHG 41.30
Anatolian_Farmers 24.19
CHG 19.21
EHG 12.17
SW_Asian 3.13
Amerindian -
W_African -
Papuan -
S_Indian -
E_Asian -

[noricum]

1 WHG 39.87
2 CHG 23.15
3 Anatolian_Farmers 19.56
4 EHG 13.17
5 SW_Asian 2.23
6 S_Indian 1.25

[Deniz]

Admix Results (sorted):

# Population Percent
1 WHG 27.94
2 CHG 26.58
3 Anatolian_Farmers 22
4 EHG 9.9
5 SW_Asian 7.57
6 E_Asian 4.63
7 Papuan 0.83
8 Amerindian 0.55

[Rius]

CHG 33.43
Anatolian_Farmers 19.09
SW_Asian 16.07
WHG 13.82
EHG 7.71
E_Asian 6.13
Papuan 2.37
W_African 1.37

[Petalpusher]

I ve added the people of the thread in the spreadsheet. It shows the relationship to several ancestral or modern groups, like distance to SSA, WHG, EHG, etc..with more than 200 results around the world.

https://docs.google.com/spreadsheets/d/14raDu1IyRzrl22tj0N1kwQ2BiE4BSZytw4AWoeMm7mU/edit#gid=1821373170

[Ylla]

# Population Percent
1 WHG 27.86
2 Anatolian_Farmers 27.1
3 CHG 23.85
4 SW_Asian 13.78
5 EHG 6.45
6 E_Asian 0.85
7 Papuan 0.11

[Catkin]

1 WHG 40.9
2 CHG 22.51
3 Anatolian_Farmers 16.47
4 EHG 16.16
5 SW_Asian 3.06
6 Amerindian 0.51
7 W_African 0.26
8 S_Indian 0.08
9 Papuan 0.04

[Kriptc06]

# Population Percent
1 WHG 23.35
2 Anatolian_Farmers 18.11
3 CHG 15.72
4 SW_Asian 10.81
5 W_African 10.65
6 EHG 8.98
7 Amerindian 7.28
8 E_Asian 2.97
9 S_Indian 2.14

Using 1 population approximation:
1 Bulgarian @ 18.665773
2 Albanian @ 19.511126
3 Tuscan @ 20.007101
4 Greek @ 20.432249
5 Sicilian @ 20.723801
6 Maltese @ 20.929892
7 Spanish @ 21.309610
8 Croatian @ 21.764463
9 French @ 23.083153
10 Hungarian @ 23.332336
11 French_South @ 25.938442
12 Tatars @ 26.358280
13 Czech @ 26.453203
14 English @ 26.557640
15 Scottish @ 26.705091
16 Ukrainian @ 27.945751
17 Norwegian @ 28.590326
18 Icelandic @ 29.494970
19 Turkish @ 30.237000
20 Russian @ 30.362312

Using 2 populations approximation:
1 50% Finnish +50% Yemen @ 13.501632


Using 3 populations approximation:
1 50% French_South +25% Somali +25% Tajik @ 8.036929


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++
1 Finnish + Sardinian + Somali + Tajik_Pomiri @ 7.603852
2 Karelia + Somali + Stuttgart + Tajik_Pomiri @ 7.607535
3 Estonian + Sardinian + Somali + Tajik @ 7.695854
4 Russian + Sardinian + Somali + Tajik_Pomiri @ 7.697989
5 Lithuanian + Sardinian + Somali + Tajik @ 7.725348
6 Belarusian + Sardinian + Somali + Tajik @ 7.740479
7 Finnish + Somali + Stuttgart + Tajik_Pomiri @ 7.769614
8 Karelia + Sardinian + Somali + Tajik_Pomiri @ 7.775518
9 Finnish + Sardinian + Somali + Tajik @ 7.813766
10 Estonian + Somali + Stuttgart + Tajik_Pomiri @ 7.823230
11 Icelandic + Sardinian + Somali + Tajik @ 7.843620
12 Belarusian + Sardinian + Somali + Tajik_Pomiri @ 7.865788
13 Estonian + Sardinian + Somali + Tajik_Pomiri @ 7.893035
14 Icelandic + Sardinian + Somali + Tajik_Pomiri @ 7.915169
15 Norwegian + Sardinian + Somali + Tajik @ 7.916147
16 Norwegian + Sardinian + Somali + Tajik_Pomiri @ 7.944858
17 Russian + Sardinian + Somali + Tajik @ 7.976061
18 Sardinian + Scottish + Somali + Tajik_Pomiri @ 7.986609
19 Lithuanian + Sardinian + Somali + Tajik_Pomiri @ 7.988954
20 Lithuanian + Somali + Stuttgart + Tajik_Pomiri @ 7.992605

Done.