Dodecad k12b results of Yamnaya and EGH samples

[curupira]

Kit M020637 (Yamnaya_Sok_River I0443), the main components were the North European and the Gedrosia ones. Gedrosia is missing in ancient Western Europeans, Mesolithic and Neolithic, so a IE origin is a possible explanation. So the Gedrosia component would be useful in tracking IE expansions in Western Europe. On the other hand, the Northern European may be a good proxy for tracking IE expansions in South Asia. Do you agree?

Dodecad K12b Oracle results:


Admix Results (sorted):

# Population Percent
1 North_European 60.8
2 Gedrosia 27.41
3 Atlantic_Med 5.95
4 Caucasus 2.92
5 Siberian 2.73
6 Sub_Saharan 0.18


Single Population Sharing:

# Population (source) Distance
1 Mordovians (Yunusbayev) 23.89
2 Russian (HGDP) 25.52
3 Russian (Dodecad) 26.42
4 Mixed_Slav (Dodecad) 28.08
5 Russian_B (Behar) 28.23
6 FIN30 (1000Genomes) 28.49
7 Belorussian (Behar) 29.25
8 Ukranians (Yunusbayev) 29.42
9 Finnish (Dodecad) 29.52
10 Lithuanian (Dodecad) 29.59
11 Polish (Dodecad) 29.74
12 Chuvashs (Behar) 29.98
13 Lithuanians (Behar) 30.6
14 Swedish (Dodecad) 31.29
15 Hungarians (Behar) 33.49
16 Norwegian (Dodecad) 33.71
17 German (Dodecad) 34.02
18 Mixed_Germanic (Dodecad) 37.46
19 Dutch (Dodecad) 37.68
20 Argyll (1000Genomes) 38.36


Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 70.6% Lithuanians (Behar) + 29.4% Brahui (HGDP) @ 11.63
2 71.6% Finnish (Dodecad) + 28.4% Brahui (HGDP) @ 12.05
3 69.6% Lithuanians (Behar) + 30.4% Balochi (HGDP) @ 12.38
4 70.5% Finnish (Dodecad) + 29.5% Balochi (HGDP) @ 12.38
5 72.7% FIN30 (1000Genomes) + 27.3% Brahui (HGDP) @ 12.75
6 71.7% FIN30 (1000Genomes) + 28.3% Balochi (HGDP) @ 13.07
7 70.6% Finnish (Dodecad) + 29.4% Makrani (HGDP) @ 13.1
8 69.7% Lithuanians (Behar) + 30.3% Makrani (HGDP) @ 13.2
9 72% Lithuanian (Dodecad) + 28% Brahui (HGDP) @ 13.39
10 71.8% FIN30 (1000Genomes) + 28.2% Makrani (HGDP) @ 13.73
11 71.1% Lithuanian (Dodecad) + 28.9% Balochi (HGDP) @ 14.18
12 71.2% Lithuanian (Dodecad) + 28.8% Makrani (HGDP) @ 14.97
13 78.6% Mordovians (Yunusbayev) + 21.4% Brahui (HGDP) @ 15.38
14 76.8% Russian (HGDP) + 23.2% Brahui (HGDP) @ 15.44
15 66.7% Finnish (Dodecad) + 33.3% Pathan (HGDP) @ 15.61
16 68% FIN30 (1000Genomes) + 32% Pathan (HGDP) @ 16.07
17 76.2% Russian (HGDP) + 23.8% Balochi (HGDP) @ 16.1
18 78.2% Mordovians (Yunusbayev) + 21.8% Balochi (HGDP) @ 16.12
19 71% Finnish (Dodecad) + 29% Sindhi (HGDP) @ 16.16
20 65.8% Lithuanians (Behar) + 34.2% Pathan (HGDP) @ 16.18


Dodecad K12b 4-Ancestors Oracle


Admix Results (sorted):

# Population Percent
1 North_European 60.80
2 Gedrosia 27.41
3 Atlantic_Med 5.95
4 Caucasus 2.92
5 Siberian 2.73


Using 1 population approximation:

1 Mordovians @ 26.117958
2 Russian @ 27.766514
3 Russian @ 28.903084
4 Mixed_Slav @ 30.708838
5 Russian_B @ 30.943394
6 FIN30 @ 30.961552
7 Chuvashs @ 30.993589
8 Belorussian @ 31.977346
9 Finnish @ 32.122631
10 Ukranians @ 32.236179
11 Lithuanian @ 32.296879
12 Polish @ 32.407936
13 Lithuanians @ 33.380260
14 Swedish @ 33.754078
15 Norwegian @ 36.340675
16 Hungarians @ 36.471939
17 German @ 36.782593
18 Mixed_Germanic @ 40.382317
19 Dutch @ 40.600632
20 Argyll @ 41.286118

Using 2 populations approximation:
1 50% Finnish +50% Tajiks @ 20.027649


Using 3 populations approximation:
1 50% Finnish +25% Lithuanians +25% Makrani @ 14.506863


Using 4 populations approximation:
1 Brahui + Finnish + Lithuanians + Lithuanians @ 12.911041
2 Brahui + Finnish + Finnish + Lithuanians @ 12.946719
3 Brahui + FIN30 + Lithuanians + Lithuanians @ 12.991430
4 Brahui + FIN30 + Finnish + Lithuanians @ 13.056005
5 Brahui + FIN30 + FIN30 + Lithuanians @ 13.190562
6 Brahui + Finnish + Lithuanians + Mordovians @ 13.302384
7 Brahui + Finnish + Lithuanian + Lithuanians @ 13.320297
8 Brahui + Finnish + Finnish + Lithuanian @ 13.321767
9 Brahui + Lithuanians + Lithuanians + Lithuanians @ 13.329762
10 Brahui + FIN30 + Lithuanian + Lithuanians @ 13.431521
11 Brahui + Finnish + Finnish + Finnish @ 13.435610
12 Brahui + FIN30 + Finnish + Lithuanian @ 13.461216
13 Brahui + Finnish + Finnish + Mordovians @ 13.499441
14 Brahui + FIN30 + Lithuanians + Mordovians @ 13.523365
15 Brahui + Lithuanians + Lithuanians + Mordovians @ 13.550054
16 Brahui + Finnish + Lithuanians + Russian @ 13.567525
17 Brahui + FIN30 + Finnish + Finnish @ 13.568962
18 Brahui + FIN30 + FIN30 + Lithuanian @ 13.624578
19 Brahui + Finnish + Lithuanians + Russian @ 13.675117
20 Brahui + Lithuanians + Lithuanians + Russian @ 13.679604

[curupira]

The EGH - Eastern Hunter Gatherer - sample (higher North European, higher Siberian, lower Gedrosia)

M652848 (EHG_Oleniy_Ostrov I0061)

Dodecad K12b Oracle results:

Kit M652848


Admix Results (sorted):

# Population Percent
1 North_European 80.14
2 Siberian 11.11
3 Gedrosia 8.62
4 Sub_Saharan 0.14

Single Population Sharing:


# Population (source) Distance
1 Finnish (Dodecad) 16.19
2 FIN30 (1000Genomes) 16.84
3 Lithuanians (Behar) 20.64
4 Russian (HGDP) 20.86
5 Lithuanian (Dodecad) 22.13
6 Mordovians (Yunusbayev) 22.32
7 Russian (Dodecad) 23.57
8 Russian_B (Behar) 24.67
9 Belorussian (Behar) 26.3
10 Mixed_Slav (Dodecad) 27.36
11 Chuvashs (Behar) 29.6
12 Ukranians (Yunusbayev) 30.08
13 Polish (Dodecad) 30.56
14 Swedish (Dodecad) 39.11
15 Norwegian (Dodecad) 42.31
16 Hungarians (Behar) 42.86
17 German (Dodecad) 45.02
18 Dutch (Dodecad) 49.95
19 Mixed_Germanic (Dodecad) 50.52
20 Orkney (1000Genomes) 51.27

Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 94.7% Finnish (Dodecad) + 5.3% Selkup (Rasmussen) @ 15.67
2 95.4% Finnish (Dodecad) + 4.6% Ket (Rasmussen) @ 15.75
3 89.5% Finnish (Dodecad) + 10.5% Chuvashs (Behar) @ 15.92
4 97.7% Finnish (Dodecad) + 2.3% Nganassan (Rasmussen) @ 15.95
5 97.4% Finnish (Dodecad) + 2.6% Brahui (HGDP) @ 15.99
6 97.4% Finnish (Dodecad) + 2.6% Balochi (HGDP) @ 16.01
7 96.8% Finnish (Dodecad) + 3.2% Burusho (HGDP) @ 16.01
8 97.9% Finnish (Dodecad) + 2.1% Evenk (Rasmussen) @ 16.02
9 97% Finnish (Dodecad) + 3% Pathan (HGDP) @ 16.03
10 97.7% Finnish (Dodecad) + 2.3% Dolgan (Rasmussen) @ 16.04
11 97.2% Finnish (Dodecad) + 2.8% Jatt (Dodecad) @ 16.05
12 97.6% Finnish (Dodecad) + 2.4% Makrani (HGDP) @ 16.05
13 98% Finnish (Dodecad) + 2% Yakut (HGDP) @ 16.06
14 98.1% Finnish (Dodecad) + 1.9% Yukagir (Rasmussen) @ 16.06
15 97.7% Finnish (Dodecad) + 2.3% Sindhi (HGDP) @ 16.07
16 98.2% Finnish (Dodecad) + 1.8% Tuva (Rasmussen) @ 16.11
17 97.6% Finnish (Dodecad) + 2.4% Tajiks (Yunusbayev) @ 16.12
18 98.1% Finnish (Dodecad) + 1.9% Altai (Rasmussen) @ 16.12
19 98.5% Finnish (Dodecad) + 1.5% Iyengar (Dodecad) @ 16.13
20 98.3% Finnish (Dodecad) + 1.7% Brahmins_from_Uttar_Pradesh (Metspalu) @ 16.13

Dodecad K12b 4-Ancestors Oracle


Admix Results (sorted):

# Population Percent
1 North_European 80.14
2 Siberian 11.11
3 Gedrosia 8.62


Using 1 population approximation:
1 Finnish @ 17.266850
2 FIN30 @ 18.020515
3 Lithuanians @ 21.438454
4 Russian @ 22.636705
5 Lithuanian @ 23.181156
6 Mordovians @ 24.247864
7 Russian @ 25.273975
8 Russian_B @ 26.554739
9 Belorussian @ 27.972677
10 Mixed_Slav @ 29.302994
11 Chuvashs @ 31.842003
12 Ukranians @ 32.330742
13 Polish @ 32.571213
14 Swedish @ 41.718266
15 Norwegian @ 45.226555
16 Hungarians @ 46.224152
17 German @ 48.302162
18 Dutch @ 53.573528
19 Mixed_Germanic @ 54.230698
20 Orkney @ 54.945522

Using 2 populations approximation:
1 50% Finnish +50% Finnish @ 17.266850


Using 3 populations approximation:
1 50% Finnish +25% Finnish +25% Finnish @ 17.266850

Using 4 populations approximation:
1 Finnish + Finnish + Finnish + Finnish @ 17.266850
2 FIN30 + Finnish + Finnish + Finnish @ 17.429564
3 FIN30 + FIN30 + Finnish + Finnish @ 17.609203
4 Chuvashs + Finnish + Finnish + Finnish @ 17.784111
5 FIN30 + FIN30 + FIN30 + Finnish @ 17.806377
6 Finnish + Finnish + Finnish + Mordovians @ 17.811451
7 Finnish + Finnish + Finnish + Russian @ 17.877607
8 Finnish + Finnish + Finnish + Lithuanians @ 17.905691
9 FIN30 + FIN30 + FIN30 + FIN30 @ 18.020515
10 FIN30 + Finnish + Finnish + Lithuanians @ 18.041359
11 FIN30 + Finnish + Finnish + Mordovians @ 18.053556
12 FIN30 + Finnish + Finnish + Russian @ 18.107370
13 Chuvashs + FIN30 + Finnish + Finnish @ 18.118340
14 Chuvashs + Finnish + Finnish + Lithuanians @ 18.172266
15 FIN30 + FIN30 + Finnish + Lithuanians @ 18.194109
16 Finnish + Finnish + Finnish + Lithuanian @ 18.279413
17 FIN30 + FIN30 + Finnish + Mordovians @ 18.311274
18 FIN30 + FIN30 + Finnish + Russian @ 18.353031
19 FIN30 + FIN30 + FIN30 + Lithuanians @ 18.364351
20 FIN30 + Finnish + Finnish + Lithuanian @ 18.435738

[curupira]

Kit M020637 (Yamnaya_Sok_River I0443)

I have just run a more extended version of it, including 180 populations now.

Dodecad k12b results of M020637 (Yamnaya_Sok_River I0443), genetic distance to 180 contemporary populations:


DodecadOracle(c(27.41, 2.73, 0, 0, 5.95, 60.8, 0, 0, 0, 0, 2.92, 0.18), k=180)
[,1] [,2]
[1,] "Mordovians_Y" "26.1164"
[2,] "Russian" "27.7645"
[3,] "Russian_D" "28.8821"
[4,] "Mixed_Slav_D" "30.7238"
[5,] "Russian_B" "30.9216"
[6,] "FIN30" "30.9592"
[7,] "Chuvashs" "30.9939"
[8,] "Belorussian" "31.9511"
[9,] "Finnish_D" "32.1211"
[10,] "Ukranians_Y" "32.2348"
[11,] "Lithuanian_D" "32.2956"
[12,] "Polish_D" "32.4226"
[13,] "Lithuanians" "33.3371"
[14,] "Swedish_D" "33.7484"
[15,] "Norwegian_D" "36.3348"
[16,] "Hungarians" "36.4679"
[17,] "German_D" "36.7775"
[18,] "Mixed_Germanic_D" "40.3767"
[19,] "Dutch_D" "40.5949"
[20,] "Argyll_1KG" "41.28"
[21,] "Orkney_1KG" "41.8601"
[22,] "CEU30" "42.4985"
[23,] "Orcadian" "42.5808"
[24,] "English_D" "42.6567"
[25,] "Irish_D" "43.0406"
[26,] "Kent_1KG" "43.266"
[27,] "British_Isles_D" "43.5051"
[28,] "British_D" "44.4474"
[29,] "Cornwall_1KG" "44.9586"
[30,] "Tajiks_Y" "46.7967"
[31,] "Romanians" "47.445"
[32,] "Bulgarian_D" "48.5661"
[33,] "French_D" "49.2365"
[34,] "French" "49.9333"
[35,] "Bulgarians_Y" "50.1316"
[36,] "Uzbeks" "55.0408"
[37,] "Nogais_Y" "56.2413"
[38,] "Lezgins" "56.7837"
[39,] "Pathan" "56.8841"
[40,] "Turkmens_Y" "58.0462"
[41,] "Burusho" "58.2392"
[42,] "Jatt_D" "58.3706"
[43,] "O_Italian_D" "58.7718"
[44,] "N_Italian_D" "59.3734"
[45,] "Uygur" "59.8993"
[46,] "Kumyks_Y" "61.1167"
[47,] "Portuguese_D" "61.6915"
[48,] "Galicia_1KG" "61.8049"
[49,] "Extremadura_1KG" "61.8629"
[50,] "Chechens_Y" "61.9454"
[51,] "Cataluna_1KG" "62.1821"
[52,] "Hazara" "62.4595"
[53,] "North_Italian" "62.6013"
[54,] "Baleares_1KG" "63.2663"
[55,] "Greek_D" "63.3486"
[56,] "TSI30" "63.387"
[57,] "Tuscan" "64.2254"
[58,] "Castilla_Y_Leon_1KG" "64.2308"
[59,] "Spanish_D" "64.4399"
[60,] "Spaniards" "64.5855"
[61,] "C_Italian_D" "64.7547"
[62,] "Canarias_1KG" "65.304"
[63,] "Brahmins_from_Uttar_Pradesh_M" "65.4943"
[64,] "Cantabria_1KG" "65.6538"
[65,] "Murcia_1KG" "65.7144"
[66,] "Castilla_La_Mancha_1KG" "66.419"
[67,] "Valencia_1KG" "66.5655"
[68,] "Aragon_1KG" "67.4084"
[69,] "Andalucia_1KG" "67.4659"
[70,] "Iranian_D" "67.6027"
[71,] "Sindhi" "67.6329"
[72,] "Iranians" "67.6831"
[73,] "Kurd_D" "68.1419"
[74,] "Adygei" "68.2093"
[75,] "Kurds_Y" "68.4148"
[76,] "Brahmins_from_Uttaranchal_M" "68.5011"
[77,] "Ashkenazy_Jews" "68.7608"
[78,] "S_Italian_Sicilian_D" "68.9381"
[79,] "Balkars_Y" "69.0589"
[80,] "Sicilian_D" "69.1988"
[81,] "North_Ossetians_Y" "69.2168"
[82,] "Ashkenazi_D" "69.2574"
[83,] "Turks" "69.6823"
[84,] "Turkish_D" "69.8359"
[85,] "Makrani" "70.6842"
[86,] "Kshatriya_M" "71.1637"
[87,] "Balochi" "71.1977"
[88,] "Meena_M" "71.2119"
[89,] "Selkup" "71.9651"
[90,] "Bnei_Menashe_Jews" "72.6824"
[91,] "Altai" "73.3568"
[92,] "Uzbekistan_Jews" "73.4091"
[93,] "Sephardic_Jews" "73.6974"
[94,] "Morocco_Jews" "74.0745"
[95,] "Pais_Vasco_1KG" "74.7736"
[96,] "Lebanese" "75.0405"
[97,] "Brahui" "75.1874"
[98,] "Brahmins_from_Tamil_Nadu_M" "75.3584"
[99,] "Cochin_Jews" "75.3624"
[100,] "Syrians" "75.741"
[101,] "Indian_D" "75.7613"
[102,] "Iyengar_D" "76.3912"
[103,] "Iyer_D" "76.657"
[104,] "Ket" "76.919"
[105,] "Jordanians" "77.4803"
[106,] "Bengali_M" "77.7155"
[107,] "Algerian_D" "78.1529"
[108,] "Georgia_Jews" "78.5153"
[109,] "Yemenese" "78.5438"
[110,] "Lambadi_M" "78.586"
[111,] "Egyptans" "79.0242"
[112,] "Cypriots" "79.5278"
[113,] "Palestinian" "79.6599"
[114,] "Tharus_M" "79.6663"
[115,] "Armenians_15_Y" "79.8279"
[116,] "Dharkars_M" "79.9471"
[117,] "Kanjars_M" "80.0198"
[118,] "Muslim_M" "80.0704"
[119,] "Azerbaijan_Jews" "80.1735"
[120,] "Iranian_Jews" "80.2353"
[121,] "Iraq_Jews" "80.3261"
[122,] "Kurmi_M" "80.3457"
[123,] "Armenian_D" "80.4495"
[124,] "Assyrian_D" "80.4832"
[125,] "GIH30" "80.6665"
[126,] "Meghawal_M" "80.9882"
[127,] "INS30" "81.1092"
[128,] "Mongol" "81.4427"
[129,] "Armenians" "81.6099"
[130,] "Druze" "81.8161"
[131,] "French_Basque" "82.1276"
[132,] "Khasi_Ch" "82.1413"
[133,] "Moroccan_D" "82.89"
[134,] "Bedouin" "82.8906"
[135,] "Moroccans" "83.5889"
[136,] "Tuva" "83.9696"
[137,] "Abhkasians_Y" "84.3401"
[138,] "Burmanese_Ch" "85.2178"
[139,] "Uttar_Pradesh_Scheduled_Caste_M" "85.4019"
[140,] "Velamas_M" "85.4647"
[141,] "Samaritians" "86.2732"
[142,] "Dusadh_M" "86.7742"
[143,] "Tamil_Nadu_Scheduled_Caste_M" "87.0465"
[144,] "Garo_Ch" "87.689"
[145,] "Buryat" "88.1984"
[146,] "Georgians" "88.7368"
[147,] "Kurumba_M" "88.7906"
[148,] "Kol_M" "88.8951"
[149,] "Piramalai_Kallars_M" "90.5471"
[150,] "Chenchus_M" "90.7608"
[151,] "Yemen_Jews" "91.2879"
[152,] "Ethiopians" "92.0945"
[153,] "Chamar_M" "92.8316"
[154,] "Ethiopian_Jews" "93.0661"
[155,] "Mongola" "93.7532"
[156,] "SAKILLI" "93.9232"
[157,] "Tu" "94.574"
[158,] "Dolgan" "94.5952"
[159,] "Oroqen" "94.6531"
[160,] "Gond_M" "94.7594"
[161,] "Sardinian" "94.7936"
[162,] "PANIYA" "94.9079"
[163,] "Saudis" "95.2616"
[164,] "Hakkipikki_M" "96.0883"
[165,] "MKK30" "96.136"
[166,] "Naxi" "97.0353"
[167,] "Xibo" "97.1187"
[168,] "Yizu" "97.1904"
[169,] "CHS30" "97.4656"
[170,] "Miaozu" "97.4672"
[171,] "She" "97.4909"
[172,] "Hezhen" "97.6267"
[173,] "Han" "97.7417"
[174,] "Daur" "97.7491"
[175,] "North_Kannadi" "97.8484"
[176,] "Tujia" "98.1521"
[177,] "CHD30" "98.3481"
[178,] "Nihali_M" "98.9376"
[179,] "Sandawe_He" "99.4487"
[180,] "Somali_D" "99.4661

[Arch Hades]

What does single population sharing mean? Wh

[curupira]

What does single population sharing mean? Wh

In that context, it means genetic distance to a single population, as opposed to mixed population sharing, which takes more than one population to get the best fit.

[Graham]

Gedrosia is linked with Ancient North Eurasian. But more like Eurogenes West Asian(Near East/ANE mix), without the WHG component.

[Arch Hades]

In that context, it means genetic distance to a single population, as opposed to mixed population sharing, which takes more than one population to get the best fit. So why did the FST genetic distance table from Haak show Lezgins closer than Lithuanians but not this?

[curupira]

So why did the FST genetic distance table from Haak show Lezgins closer than Lithuanians but not this?

These are Dodecad results. Using other tools, the results will generally correlate but they will not be exactly the same.

[Demhat]

So why did the FST genetic distance table from Haak show Lezgins closer than Lithuanians but not this?

Haak paper uses higher ks (K16) which is more reliable. In the lower Ks many components are indistinguishable.

You can share more ancestry with Yamna but still be further away because the rest of your DNA is significantly more different. Most of Lezgian DNA is Yamna related but not Yamna descend. While for example Tajiks have more Yamna descend DNA but the rest of their non Yamna descend DNA is more different what pushes them away.

K12 is not capable to distinguish between non Yamna but strongly related and non Yamna and less related DNA. That is why Blogger calculators are not suitable for this.

Generally Yamna is closest to Udmurts/Mordovians followed by Lezgians and Russians.

[Demhat]

Kit M020637 (Yamnaya_Sok_River I0443), the main components were the North European and the Gedrosia ones. Gedrosia is missing in ancient Western Europeans, Mesolithic and Neolithic, so a IE origin is a possible explanation. So the Gedrosia component would be useful in tracking IE expansions in Western Europe. On the other hand, the Northern European may be a good proxy for tracking IE expansions in South Asia. Do you agree?




roughly yes,
But not every North European DNA is automatically Yamna type and not every West Asian is automatically Yamna type. lower Ks are not capable to disinguish them.

[Arch Hades]

Haak paper uses higher ks (K16) which is more reliable. In the lower Ks many components are indistinguishable. And this is not the fst distance but shared ancestry.

You can share more ancestry with Yamna but still be further away because the rest of your DNA is significantly more different. Most of Lezgian DNA is Yamna related but not Yamna descend. While for example Tajiks have more Yamna descend DNA but the rest of their non Yamna descend DNA is more different what pushes them away.

Generally Yamna is closest to Mordovians followed by Lezgians and Russians.


Lezgins are very different from Mordovians or Russians though, they're a Southern/Caucuses population somewhat similar to Georgians.


I still don't get how the # of Ks effect Fst distance. I didnt even know Fst distance had anything to do with K/cluster analysis.

[Demhat]

Lezgins are very different from Mordovians or Russians though, they're a Southern/Caucuses population somewhat similar to Georgians.


I still don't get how the # of Ks effect Fst distance. I didnt even know Fst distance had anything to do with K/cluster analysis.

They don't need to be similar to each other to be similar to Yamna. You are seeing it from a wrong perspective.

For example Russians have close to 0% Gedrosia but 66% North European.

Lezgians have 28% Gedrosia and 25% North European. Than there comes other genes which are close but not exactly the same.

With other words. Yamna is clustering in between Russians and Lezgians. with being slightly closer to Mordovians.
Lower and higher K's can definitely effect the estimation of Yamna admixture. Take a look at the Haak or Reich paper. Anyways as I said Blogger calculators are not perfect and most of them are not made for Yamna. Per reviewed papers are more reliable there.

[Not a Cop]

They don't need to be similar to each other to be similar to Yamna. You are seeing it from a wrong perspective.

For example Russians have close to 0% Gedrosia but 66% North European.

Lezgians have 28% Gedrosia and 25% North European. Than there comes other genes which are close but not exactly the same.

With other words. Yamna is clustering in between Russians and Lezgians. with being slightly closer to Mordovians.
Lower and higher K's can definitely effect the estimation of Yamna admixture. Take a look at the Haak or Reich paper. Anyways as I said Blogger calculators are not perfect and most of them are not made for Yamna. Per reviewed papers are more reliable there.

I don't think that between is a good choise of word, they are almost equally distant, but both Russians and Lezgins have other admixtures, which pull them from Yamna.

[lameduck]

estimation of yamnaya specific ancestry from eurogenes blog.

from Davidski

link
http://eurogenes.blogspot.com/2015/03/yamnaya-related-ancestry-proportions-in.html
"Here's a quick and dirty attempt to flush out a Yamnaya-specific ancestral component with the ADMIXTURE software and a few Yamnaya genomes from the recent Haak et al. paper"


In Europe
https://lh3.googleusercontent.com/At6DRw63e7Pccs1X7pKNwtzCS-_b2usa8E1ZH3VRDW6PW6CdgjZeUH13NntAdkbybuzYoEZR=w13 42-h523

In Asia

https://lh4.googleusercontent.com/n3yWfCvpcdNUHCG0CvhCulqWmcqMYwqxtKC-R22Ibvrtc2B7n6N51eM8iukaB2N9vu93FvE_=w1342-h523

[Demhat]

estimation of yamnaya specific ancestry from eurogenes blog.

from Davidski

link
http://eurogenes.blogspot.com/2015/03/yamnaya-related-ancestry-proportions-in.html
"Here's a quick and dirty attempt to flush out a Yamnaya-specific ancestral component with the ADMIXTURE software and a few Yamnaya genomes from the recent Haak et al. paper"


In Europe
https://lh3.googleusercontent.com/At6DRw63e7Pccs1X7pKNwtzCS-_b2usa8E1ZH3VRDW6PW6CdgjZeUH13NntAdkbybuzYoEZR=w13 42-h523

In Asia

https://lh4.googleusercontent.com/n3yWfCvpcdNUHCG0CvhCulqWmcqMYwqxtKC-R22Ibvrtc2B7n6N51eM8iukaB2N9vu93FvE_=w1342-h523


The results are inconsistent with the Haak paper and K6 is far to low. If even Haak and Reich use at least k16.

It is not measuring the distance to Yamna. it only shows estimated Yamna ancestry. that is a big difference. You can have more Yamna ancestry and still be more distant from Yamna. If the rest of your DNA is too different or the other populations have more of the Yamna related ancestry even if it is not directly coming from Yamna.

But even the estimated Yamna ancestry is wrong.

You know it is a bad calculator if it's results are different from the actual per reviewed study.