View Full Version : W Asians don't score much E Asian using calculators
It just occurred to me why W. Asians such as Iranics and to a lesser degree Georgians and Armenians don't score much E Asian on Gedmatch calculators and commercial tests such as 23andMe and Ancestry DNA.
Iranics by definition have alot of Central Asian Iranic (Indo-Iranic or Aryan as some would call it) ancestry. The Iron Age Central Asian Indo-Iranians already had some of this Siberian and E Asian ancestry not to mention Iranics also have some Turkic.
First wrt Gedmatch calculators if you check the Caucasian component scores you'll notice Georgians, Armenians and Iranics score alot of it. If Iranics score 40% Caucasus it means the component allele frequencies are largely based on Georgians, Armenians, Abkhasians, and Iranians. In other words the Caucasus component is based on them meaning it hides significant Siberian and E. Asian ancestry.
If you want to flush this hidden Siberian and E. Asian admixture out all you have to do is to make another calculator and make sure you don't add a "Caucasus" component. Better yet when making the calculator make sure you don't have any Caucasians or Iranics in the run.
Wrt to 23andme or Ancestry DNA they blatently use Iranian or Kurd references so obviously if you're an Iranic and score 95% W Asian or Mesopotamian or whatever they call it that's where the Iron Age Central Asian admixture is hiding.
Dr_Maul
03-01-2021, 02:43 PM
I don't understand
Central Asian Iranics (TKM_IA for example) were something like 2% EE, if we consider that modern Iranians are about 20-40% of that ancestry then that only comes out to less than 1% in the end
As for the caucasus thing I really don't think Georgians and Armenians are hiding much EE ancestry
I don't understand
Central Asian Iranics (TKM_IA for example) were something like 2% EE, if we consider that modern Iranians are about 20-40% of that ancestry then that only comes out to less than 1% in the end
As for the caucasus thing I really don't think Georgians and Armenians are hiding much EE ancestry
I don't blame you since it's not easy to understand. I'll give it a try.
To simplify let's say its a K2 calculator with just a Caucasian and E Asian component. Let's say as an Iranian you have 19 genes common to Georgians/Abkhasians and 1 gene common to E Asian.
This will be your admixture score. 19/20 or 95% W Asian and 1/20 or 5% E, Asian
Let's say I change the W Asian component to Kurdish. So now you'll still have 1 E Asian gene but now you'll have 29 Kurdish genes.
Your new admixture score will be 29/30 or 97% W. Asian and 1/30 or 3% E Asian
Let's say I change the W Asian component to Iberian. So now you still have 1 E Asian gene but now you'll have let's say 9 Iberian genes.
Your new admixture score will be 9/10 or 90% W. Asian and 1/10 or 10% E Asian.
CONCLUSION: Even though you have 1 E. Asian gene, your E. Asian score changes from 5% to 3% to 10% E. Asian depending on how genetically the W. Asian component is to you.
Also, Caucasian component is not a component exclusive to Georgians/Abkhasians. It just peaks in them. If you check the spreadsheet Iranians and Kurds also score a decent amount.
So if you want to be technically correct we should label it Georgian/Abkhasian/Armenian/Kurdish/Iranian/etc. So now we have to see how much hidden Siberian/E Asian is hidden in all those groups I just mentioned.
Same thing with Gedrosian. It peaks in Brahui an Baloch but Iranians/Kurds/Pashtuns/N Indians etc score a good amount. So now we have to figure out how much Siberian/E Asian is hidden in those.
Same with other comps.
Expert research via formal stats have shown that Medes already had Indo-Iranian component related to Turkmenistan-IA but Kurds ( I assume many Iranians will be similar) picked up additional IA Steppe and Turkic after Medes. If you look at figure 4 at https://eurasiandna.com/2659-2/ you'll see that Kurds need an additional 7-9% E Asian on top of Hasanlu-IA (Mede)
You can also verify this 10% E Asian with a calculator with "pure" W. Asian such as ENF and WHG and E Asian and Siberian and ANA. You can triple or quadruple verify it with F2s, IBS, qpAdm etc
Dr_Maul
03-01-2021, 06:33 PM
You can also verify this 10% E Asian with a calculator with "pure" W. Asian such as ENF and WHG and E Asian and Siberian and ANA. You can triple or quadruple verify it with F2s, IBS, qpAdm etc
But in those calculators it is even low. Running a similar model as your example (ENF Siberian etc) Kurdish average on vahaduo is only getting like 1-2%
But in those calculators it is even low. Running a similar model as your example (ENF Siberian etc) Kurdish average on vahaduo is only getting like 1-2%
I don't understand. Can you post an example. Use a low K calculator.
Gedmatch Eurasia K3 is far from perfect but it's still better than the others for this type of purpose
Dr_Maul
03-01-2021, 07:18 PM
I don't understand. Can you post an example. Use a low K calculator.
Gedmatch Eurasia K3 is far from perfect but it's still better than the others for this type of purpose
Target: Kurdish
Distance: 1.8512% / 0.01851186
32.8 Kura-Araxes_ARM_Kaps
24.4 IRN_Ganj_Dareh_N
17.2 Levant_PPNB
13.0 Yamnaya_RUS_Samara
11.6 TUR_Barcin_N
1.0 Han
Target: Kurdish
Distance: 2.4473% / 0.02447277
32.6 IRN_Ganj_Dareh_N
22.2 TUR_Barcin_N
19.0 Levant_PPNB
14.0 Yamnaya_RUS_Samara
12.0 GEO_CHG
0.2 Han
TUR_Barcin_N,0.1175998,0.180118,0.0035312,-0.101158,0.0510443,-0.0483875,-0.0043582,-0.0069334,0.0362287,0.0807473,0.0079718,0.0118803,-0.0234545,0.0004691,-0.0419807,-0.0101913,0.0233091,0.0019866,0.0136954,-0.0097489,-0.0142249,0.0057723,-0.0041232,-0.0031658,-0.0043437
Han,0.0206952,-0.4507105,-0.0082967,-0.0651579,0.0780846,0.0374475,0.0029055,-0.004804,-0.0150232,-0.0031146,-0.0495875,-0.0070573,0.0072707,-0.0081072,-0.0043305,0.0012535,0.0017542,-0.0008638,-0.0020455,-0.0102206,0.0122397,0.0069582,0.0141063,-0.0012925,-0.0022315
IRN_Ganj_Dareh_N,0.0430252,0.0664158,-0.1550722,0.0047158,-0.122669,0.0235384,0.017109,-0.0011998,-0.082546,-0.0544158,-0.0028258,-0.0016186,0.0044896,-0.0062756,0.0316498,0.0561384,-0.0054242,0.0068664,0.0136508,-0.0334162,0.00856,-0.028836,-0.0110678,-0.039331,0.0222254
Kura-Araxes_ARM_Kaps,0.1013025,0.133034,-0.07071,-0.043605,-0.0498555,-0.0092035,0.008108,-0.011653,-0.066368,-0.01631,0.0030855,0.011015,-0.019846,0.005849,0.0042075,-0.0102095,-0.0001305,-0.003927,-0.001697,0.0032515,0.003494,-0.000247,-0.0036975,-0.0090975,-0.0030535
Levant_PPNB,0.072847,0.1639064,-0.0316026,-0.1361132,0.0332986,-0.0645352,-0.0134426,-0.0147684,0.0741604,0.03601,0.0188046,-0.0150764,0.035738,0.0025596,-0.0217696,0.006099,0.0098048,-0.0013176,-0.0047264,0.0188088,-0.001797,0.0071472,0.0008872,-0.0056874,-0.0037602
Yamnaya_RUS_Samara,0.1255849,0.089028,0.0426986,0. 1153479,-0.0287232,0.0450564,0.0036033,-0.0025642,-0.0559032,-0.0728943,0.0018222,3.32e-05,-0.0026924,-0.0233041,0.0366141,0.0157633,-0.0012316,-0.0017879,-0.0038408,0.0137704,-0.0031749,0.0007557,0.0110649,0.0186102,-0.004537
(I replaced the Kura Axes with CHG on the other one)
Target: Kurdish
Distance: 1.8512% / 0.01851186
32.8 Kura-Araxes_ARM_Kaps
24.4 IRN_Ganj_Dareh_N
17.2 Levant_PPNB
13.0 Yamnaya_RUS_Samara
11.6 TUR_Barcin_N
1.0 Han
Target: Kurdish
Distance: 2.4473% / 0.02447277
32.6 IRN_Ganj_Dareh_N
22.2 TUR_Barcin_N
19.0 Levant_PPNB
14.0 Yamnaya_RUS_Samara
12.0 GEO_CHG
0.2 Han
TUR_Barcin_N,0.1175998,0.180118,0.0035312,-0.101158,0.0510443,-0.0483875,-0.0043582,-0.0069334,0.0362287,0.0807473,0.0079718,0.0118803,-0.0234545,0.0004691,-0.0419807,-0.0101913,0.0233091,0.0019866,0.0136954,-0.0097489,-0.0142249,0.0057723,-0.0041232,-0.0031658,-0.0043437
Han,0.0206952,-0.4507105,-0.0082967,-0.0651579,0.0780846,0.0374475,0.0029055,-0.004804,-0.0150232,-0.0031146,-0.0495875,-0.0070573,0.0072707,-0.0081072,-0.0043305,0.0012535,0.0017542,-0.0008638,-0.0020455,-0.0102206,0.0122397,0.0069582,0.0141063,-0.0012925,-0.0022315
IRN_Ganj_Dareh_N,0.0430252,0.0664158,-0.1550722,0.0047158,-0.122669,0.0235384,0.017109,-0.0011998,-0.082546,-0.0544158,-0.0028258,-0.0016186,0.0044896,-0.0062756,0.0316498,0.0561384,-0.0054242,0.0068664,0.0136508,-0.0334162,0.00856,-0.028836,-0.0110678,-0.039331,0.0222254
Kura-Araxes_ARM_Kaps,0.1013025,0.133034,-0.07071,-0.043605,-0.0498555,-0.0092035,0.008108,-0.011653,-0.066368,-0.01631,0.0030855,0.011015,-0.019846,0.005849,0.0042075,-0.0102095,-0.0001305,-0.003927,-0.001697,0.0032515,0.003494,-0.000247,-0.0036975,-0.0090975,-0.0030535
Levant_PPNB,0.072847,0.1639064,-0.0316026,-0.1361132,0.0332986,-0.0645352,-0.0134426,-0.0147684,0.0741604,0.03601,0.0188046,-0.0150764,0.035738,0.0025596,-0.0217696,0.006099,0.0098048,-0.0013176,-0.0047264,0.0188088,-0.001797,0.0071472,0.0008872,-0.0056874,-0.0037602
Yamnaya_RUS_Samara,0.1255849,0.089028,0.0426986,0. 1153479,-0.0287232,0.0450564,0.0036033,-0.0025642,-0.0559032,-0.0728943,0.0018222,3.32e-05,-0.0026924,-0.0233041,0.0366141,0.0157633,-0.0012316,-0.0017879,-0.0038408,0.0137704,-0.0031749,0.0007557,0.0110649,0.0186102,-0.004537
(I replaced the Kura Axes with CHG on the other one)
Can you post for Kurmanji kurds
Kurd = Armenians + Bashkir
Kurd = Armenians + Volga Tatar
Kurd = Georgians + Bashkir
Kurd = Georgians + Volga Tatar
I’m trying to figure out the specific issue with g25. I think I know but would like to see
Dr_Maul
03-01-2021, 08:23 PM
Can you post for Kurmanji
Does such average exist for G25?
Does such average exist for G25?
I don’t know much about the populations in G25 but you can use any kurds they have and also try the same models using a low k MDLP or Dodecad
Here is additional PROOF about how calculators should not be relied on for total E Asian admixture.
These are F2 genetic distances (Admixtools 2) from a high quality WGS 7000 year old E. Asian called Devils-Gate-N. Whole genomes of various Asians and Europeans were used for comparison to maximize overlapping SNPs to 200,000 with no missing SNPs in any of the populations.
You can easily see that these results agree with the qpAdm results for Kurds where Kurds have lower genetic distance to Devils-Gate-N than other W. Asians such as Kayseri Turks, Armenians, Georgians, Hasanlu-IA, Arabs.
I realize that some other Turks would be closer and I would be glad to include them if there are WGS of them so for now I only have Kayseri Turks (2 samples). I also didn't have access to other Iranian WGS samples except for the 2 Fars ones
Keep in mind if a population has S. Eurasian ancestry it would also be higher in the list because there's quite a bit of shared ancestry between S. Eurasian (Onge like) and E. Eurasian
Sorted from closest genetic distance to ancient E. Asian to furthest based on F2 and Z score. W. Asians are highlighted
<style type="text/css">td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}</style>
<colgroup><col width="36"><col width="159"><col width="132"><col width="56"><col width="56"><col width="31"></colgroup><tbody>
NO.
POP1
POP2
F2
SE
Z
1
Devils-Gate-N-WGS
Eskimo-Chaplin
0.222
0.001
247
2
Devils-Gate-N-WGS
Kolyma-Mesol-WGS
0.224
0.001
155
3
Devils-Gate-N-WGS
Eskimo-Sireniki
0.224
0.001
276
4
Devils-Gate-N-WGS
China-Tianyuan-UP
0.24
0.002
143
5
Devils-Gate-N-WGS
Turkmen
0.241
0.001
222
6
Devils-Gate-N-WGS
Bashkir
0.244
0.001
262
7
Devils-Gate-N-WGS
Saami
0.247
0.001
288
8
Devils-Gate-N-WGS
Yana-UP-WGS
0.249
0.001
189
9
Devils-Gate-N-WGS
Tatar-Volga
0.249
0.001
228
10
Devils-Gate-N-WGS
Punjabi
0.251
0.001
280
11
Devils-Gate-N-WGS
Kurds-IRAQ
0.253
0.001
267
12
Devils-Gate-N-WGS
Pathan
0.253
0.001
273
13
Devils-Gate-N-WGS
Kalash
0.254
0.001
356
14
Devils-Gate-N-WGS
UstIshim-UP
0.255
0.002
170
15
Devils-Gate-N-WGS
Brahui
0.255
0.001
307
16
Devils-Gate-N-WGS
MA1-ANE
0.256
0.002
152
17
Devils-Gate-N-WGS
Karelia-EHG
0.256
0.001
183
18
Devils-Gate-N-WGS
Balochi
0.256
0.001
270
19
Devils-Gate-N-WGS
Turkish-KAYSERI
0.256
0.001
325
20
Devils-Gate-N-WGS
Kotias-CHG
0.257
0.001
240
21
Devils-Gate-N-WGS
Estonian
0.257
0.001
299
22
Devils-Gate-N-WGS
Iranians-FARS
0.258
0.002
172
23
Devils-Gate-N-WGS
Georgian
0.258
0.001
263
24
Devils-Gate-N-WGS
Sardinian
0.258
0.001
305
25
Devils-Gate-N-WGS
Armenian
0.259
0.001
260
26
Devils-Gate-N-WGS
Bulgarian
0.259
0.001
316
27
Devils-Gate-N-WGS
Iran-Hasanlu-IA
0.26
0.001
218
28
Devils-Gate-N-WGS
Villabruna-WHG
0.261
0.001
207
29
Devils-Gate-N-WGS
Jordanian
0.261
0.001
271
30
Devils-Gate-N-WGS
Saharawi
0.268
0.001
258
31
Devils-Gate-N-WGS
Khomani-San
0.306
0.001
213
</tbody>
Here is additional PROOF about how calculators should not be relied on for total E Asian admixture.
These are F2 genetic distances (Admixtools 2) from a high quality WGS 7000 year old E. Asian called Devils-Gate-N. Whole genomes of various Asians and Europeans were used for comparison to maximize overlapping SNPs to 200,000 with no missing SNPs in any of the populations.
You can easily see that these results agree with the qpAdm results for Kurds where Kurds have lower genetic distance to Devils-Gate-N than other W. Asians such as Kayseri Turks, Armenians, Georgians, Hasanlu-IA, Arabs.
I realize that some other Turks would be closer and I would be glad to include them if there are WGS of them so for now I only have Kayseri Turks (2 samples). I also didn't have access to other Iranian WGS samples except for the 2 Fars ones
Keep in mind if a population has S. Eurasian ancestry it would also be higher in the list because there's quite a bit of shared ancestry between S. Eurasian (Onge like) and E. Eurasian
Sorted from closest genetic distance to ancient E. Asian to furthest based on F2 and Z score. W. Asians are highlighted
<style type="text/css">td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}</style>
<colgroup><col width="36"><col width="159"><col width="132"><col width="56"><col width="56"><col width="31"></colgroup><tbody>
NO.
POP1
POP2
F2
SE
Z
1
Devils-Gate-N-WGS
Eskimo-Chaplin
0.222
0.001
247
2
Devils-Gate-N-WGS
Kolyma-Mesol-WGS
0.224
0.001
155
3
Devils-Gate-N-WGS
Eskimo-Sireniki
0.224
0.001
276
4
Devils-Gate-N-WGS
China-Tianyuan-UP
0.24
0.002
143
5
Devils-Gate-N-WGS
Turkmen
0.241
0.001
222
6
Devils-Gate-N-WGS
Bashkir
0.244
0.001
262
7
Devils-Gate-N-WGS
Saami
0.247
0.001
288
8
Devils-Gate-N-WGS
Yana-UP-WGS
0.249
0.001
189
9
Devils-Gate-N-WGS
Tatar-Volga
0.249
0.001
228
10
Devils-Gate-N-WGS
Punjabi
0.251
0.001
280
11
Devils-Gate-N-WGS
Kurds-IRAQ
0.253
0.001
267
12
Devils-Gate-N-WGS
Pathan
0.253
0.001
273
13
Devils-Gate-N-WGS
Kalash
0.254
0.001
356
14
Devils-Gate-N-WGS
UstIshim-UP
0.255
0.002
170
15
Devils-Gate-N-WGS
Brahui
0.255
0.001
307
16
Devils-Gate-N-WGS
MA1-ANE
0.256
0.002
152
17
Devils-Gate-N-WGS
Karelia-EHG
0.256
0.001
183
18
Devils-Gate-N-WGS
Balochi
0.256
0.001
270
19
Devils-Gate-N-WGS
Turkish-KAYSERI
0.256
0.001
325
20
Devils-Gate-N-WGS
Kotias-CHG
0.257
0.001
240
21
Devils-Gate-N-WGS
Estonian
0.257
0.001
299
22
Devils-Gate-N-WGS
Iranians-FARS
0.258
0.002
172
23
Devils-Gate-N-WGS
Georgian
0.258
0.001
263
24
Devils-Gate-N-WGS
Sardinian
0.258
0.001
305
25
Devils-Gate-N-WGS
Armenian
0.259
0.001
260
26
Devils-Gate-N-WGS
Bulgarian
0.259
0.001
316
27
Devils-Gate-N-WGS
Iran-Hasanlu-IA
0.26
0.001
218
28
Devils-Gate-N-WGS
Villabruna-WHG
0.261
0.001
207
29
Devils-Gate-N-WGS
Jordanian
0.261
0.001
271
30
Devils-Gate-N-WGS
Saharawi
0.268
0.001
258
31
Devils-Gate-N-WGS
Khomani-San
0.306
0.001
213
</tbody>
Before someone asks the F2 genetic distances posted above are much more accurate than for example distances based on PCA coordinates of G25 or distances based on Gedmatch calculators for the reason that these are based on direct one-to-one SNP comparisons between ancient E. Asian and the various pops in the list.
Target: Kurdish
Distance: 1.8512% / 0.01851186
32.8 Kura-Araxes_ARM_Kaps
24.4 IRN_Ganj_Dareh_N
17.2 Levant_PPNB
13.0 Yamnaya_RUS_Samara
11.6 TUR_Barcin_N
1.0 Han
Target: Kurdish
Distance: 2.4473% / 0.02447277
32.6 IRN_Ganj_Dareh_N
22.2 TUR_Barcin_N
19.0 Levant_PPNB
14.0 Yamnaya_RUS_Samara
12.0 GEO_CHG
0.2 Han
TUR_Barcin_N,0.1175998,0.180118,0.0035312,-0.101158,0.0510443,-0.0483875,-0.0043582,-0.0069334,0.0362287,0.0807473,0.0079718,0.0118803,-0.0234545,0.0004691,-0.0419807,-0.0101913,0.0233091,0.0019866,0.0136954,-0.0097489,-0.0142249,0.0057723,-0.0041232,-0.0031658,-0.0043437
Han,0.0206952,-0.4507105,-0.0082967,-0.0651579,0.0780846,0.0374475,0.0029055,-0.004804,-0.0150232,-0.0031146,-0.0495875,-0.0070573,0.0072707,-0.0081072,-0.0043305,0.0012535,0.0017542,-0.0008638,-0.0020455,-0.0102206,0.0122397,0.0069582,0.0141063,-0.0012925,-0.0022315
IRN_Ganj_Dareh_N,0.0430252,0.0664158,-0.1550722,0.0047158,-0.122669,0.0235384,0.017109,-0.0011998,-0.082546,-0.0544158,-0.0028258,-0.0016186,0.0044896,-0.0062756,0.0316498,0.0561384,-0.0054242,0.0068664,0.0136508,-0.0334162,0.00856,-0.028836,-0.0110678,-0.039331,0.0222254
Kura-Araxes_ARM_Kaps,0.1013025,0.133034,-0.07071,-0.043605,-0.0498555,-0.0092035,0.008108,-0.011653,-0.066368,-0.01631,0.0030855,0.011015,-0.019846,0.005849,0.0042075,-0.0102095,-0.0001305,-0.003927,-0.001697,0.0032515,0.003494,-0.000247,-0.0036975,-0.0090975,-0.0030535
Levant_PPNB,0.072847,0.1639064,-0.0316026,-0.1361132,0.0332986,-0.0645352,-0.0134426,-0.0147684,0.0741604,0.03601,0.0188046,-0.0150764,0.035738,0.0025596,-0.0217696,0.006099,0.0098048,-0.0013176,-0.0047264,0.0188088,-0.001797,0.0071472,0.0008872,-0.0056874,-0.0037602
Yamnaya_RUS_Samara,0.1255849,0.089028,0.0426986,0. 1153479,-0.0287232,0.0450564,0.0036033,-0.0025642,-0.0559032,-0.0728943,0.0018222,3.32e-05,-0.0026924,-0.0233041,0.0366141,0.0157633,-0.0012316,-0.0017879,-0.0038408,0.0137704,-0.0031749,0.0007557,0.0110649,0.0186102,-0.004537
(I replaced the Kura Axes with CHG on the other one)
With Devil's Gate Cave instead of Han
Target: Kurdish
Distance: 1.8563% / 0.01856289
32.8 Kura-Araxes_ARM_Kaps
24.4 IRN_Ganj_Dareh_N
17.4 Levant_PPNB
13.0 Yamnaya_RUS_Samara
11.4 TUR_Barcin_N
1.0 RUS_Devils_Gate_Cave_N
Target: Zaza_Dersim
Distance: 1.9318% / 0.01931776
31.4 Kura-Araxes_ARM_Kaps
20.4 IRN_Ganj_Dareh_N
16.8 Yamnaya_RUS_Samara
15.2 TUR_Barcin_N
14.6 Levant_PPNB
1.6 RUS_Devils_Gate_Cave_N
Target: Iranian_Lor
Distance: 1.7713% / 0.01771342
29.2 IRN_Ganj_Dareh_N
28.8 Kura-Araxes_ARM_Kaps
18.4 Levant_PPNB
11.2 Yamnaya_RUS_Samara
10.4 TUR_Barcin_N
2.0 RUS_Devils_Gate_Cave_N
Target: Talysh_Azerbaijan
Distance: 1.6439% / 0.01643888
41.6 Kura-Araxes_ARM_Kaps
20.4 IRN_Ganj_Dareh_N
13.6 Levant_PPNB
12.0 Yamnaya_RUS_Samara
9.6 TUR_Barcin_N
2.8 RUS_Devils_Gate_Cave_N
Target: Azeri
Distance: 1.7081% / 0.01708131
39.0 Kura-Araxes_ARM_Kaps
17.0 Levant_PPNB
16.0 IRN_Ganj_Dareh_N
12.8 Yamnaya_RUS_Samara
9.0 TUR_Barcin_N
6.2 RUS_Devils_Gate_Cave_N
I'm also posting this based on modern Eskimos because there are sometimes some damage in ancient DNA. So this should be regarded a little more accurate than the one based on Devils-Gate because the quality of modern sequences is better than ancients
<style type="text/css">td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}</style>
<colgroup><col width="115"><col width="159"><col width="132"><col width="56"><col width="56"><col width="31"></colgroup><tbody>
NO.
POP1
POP2
F2
SE
Z
1
Eskimo-Sireniki
Eskimo-Chaplin
0.21
0.0011
184
2
Eskimo-Sireniki
Devils-Gate-N-WGS
0.224
0.0008
276
3
Eskimo-Sireniki
Kolyma-Mesol-WGS
0.227
0.0012
197
4
Eskimo-Sireniki
Turkmen
0.249
0.0010
239
5
Eskimo-Sireniki
Bashkir
0.249
0.0010
259
6
Eskimo-Sireniki
MA1-ANE
0.251
0.0015
163
7
Eskimo-Sireniki
China-Tianyuan-UP
0.251
0.0014
182
8
Eskimo-Sireniki
Saami
0.251
0.0008
314
9
Eskimo-Sireniki
Yana-UP-WGS
0.253
0.0011
241
10
Eskimo-Sireniki
Karelia-EHG
0.253
0.0007
380
11
Eskimo-Sireniki
Tatar-Volga
0.255
0.0011
242
12
Eskimo-Sireniki
Punjabi
0.256
0.0010
265
13
Eskimo-Sireniki
Pathan
0.257
0.0009
302
14
Eskimo-Sireniki
Kalash
0.257
0.0007
351
15
Eskimo-Sireniki
Kurds-IRAQ
0.258
0.0011
233
16
Eskimo-Sireniki
Brahui
0.259
0.0010
259
17
Eskimo-Sireniki
Estonian
0.259
0.0008
318
18
Eskimo-Sireniki
Balochi
0.259
0.0008
329
19
Eskimo-Sireniki
Turkish-KAYSERI
0.26
0.0009
297
20
Eskimo-Sireniki
UstIshim-UP
0.261
0.0012
220
21
Eskimo-Sireniki
Iranians-FARS
0.261
0.0011
231
22
Eskimo-Sireniki
Bulgarian
0.261
0.0008
324
23
Eskimo-Sireniki
Kotias-CHG
0.262
0.0012
220
24
Eskimo-Sireniki
Armenian
0.262
0.0011
244
25
Eskimo-Sireniki
Georgian
0.262
0.0009
287
26
Eskimo-Sireniki
Sardinian
0.263
0.0008
335
27
Eskimo-Sireniki
Iran-Hasanlu-IA
0.264
0.0010
253
28
Eskimo-Sireniki
Jordanian
0.265
0.0009
303
29
Eskimo-Sireniki
Villabruna-UP-WHG
0.266
0.0014
190
30
Eskimo-Sireniki
Saharawi
0.274
0.0009
294
31
Eskimo-Sireniki
Khomani-San
0.313
0.0013
240
</tbody>
With Devil's Gate Cave instead of Han
This is precisely why I'm posting direct gene-to-gene one-to-one comparisons between E. Asians and W. Asians because those calculator results have a million things that can skew results.
So when in doubt always do a gene-to-gene count of the number of similar genes between E. Asians and W. Asians. It's simple and you don't have to worry about any other factors that can skew results.
My moto is keep it simple and do a manual one to one comparison of every SNP.
What you posted shows Kurds with highest Iran-N. Iran-N is a bit of a mystery. Some of Harvard’s models show it with 22% AG3 related and other Harvard models show it with 8% Onge S Eurasian.
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