Proto-Scythian aDNA results + map (NEW)

[Proto-Shaman]

A Proto-Scythian sample ARS026 from Mongolia.

mtDNA: C4a1a + 195
Y-DNA: R1a1a1b2a2a (R-Z2123) ^{-> Karachay-Balkar cluster!}
GedMatch kit number: Z841501
dating: 1126-898 BCE

From this study: Jeong et al. 2018
"Bronze Age population dynamics and the rise of dairy pastoralism on the eastern Eurasian steppe"
link: https://www.pnas.org/content/115/48/E11248


Creator of the map is Sergey Kozlov, found in this Russian forum: http://forum.molgen.org/index.php/topic,11376.90.html

Closest modern matches:

Bashkir-South 72,91 ---// Samples:22
Kazakh 70,34 ---// Samples:25
Shor 70,16 ---// Samples:8
Udmurt 68,22 ---// Samples:19
Tatar-Kazan 67,84 ---// Samples:26
Altaian 67,6 ---// Samples:22
Hakas 65,82 ---// Samples:13
Tatar-Ural 65,78 ---// Samples:26
Ket 65,56 ---// Samples:6
Mansi 65,48 ---// Samples:9
Russian-Ural-Siberia 64,98 ---// Samples:23
Selkup 64,64 ---// Samples:16
Mari 64,59 ---// Samples:20
Kyrgyz 64,45 ---// Samples:21
Tuvinian 64,25 ---// Samples:22
Russian-Volga-Sukhona 64,25 ---// Samples:19
Kalmyk 63,84 ---// Samples:17
Komi 63,76 ---// Samples:19
Bashkir-North 63,57 ---// Samples:5
Moksha 63,27 ---// Samples:9
Russian-HGDP 63,04 ---// Samples:25
Russian-Vyatka-Arsk 62,53 ---// Samples:21
Dolgan 62,47 ---// Samples:11
Belarusian 62,39 ---// Samples:30
Tatar-Mishar 62,12 ---// Samples:20
Hazara 61,83 ---// Samples:26
Balt 61,29 ---// Samples:23
Tatar-Lithuanian 61,18 ---// Samples:10
Russian-Pomor 60,81 ---// Samples:13
Buryat 60,76 ---// Samples:23
Finnish-East 60,64 ---// Samples:20
Chuvash 60,19 ---// Samples:27
Mongol 60,13 ---// Samples:14
Evenk 59,85 ---// Samples:27
Estonian 59,79 ---// Samples:27
Russian-South 59,31 ---// Samples:28
Russian-Center 59,22 ---// Samples:19
Saami 59,17 ---// Samples:16
Tatar-Crimean-Steppe 58,95 ---// Samples:4
Pamiri 58,73 ---// Samples:29
Nogay 58,66 ---// Samples:17
German 58,65 ---// Samples:30
Karelian 58,38 ---// Samples:19
Uzbek 58,25 ---// Samples:23
Nenets 58,13 ---// Samples:17
Finnish-West 57,84 ---// Samples:20
Veps 57,73 ---// Samples:15
Ukrainian-West 57,69 ---// Samples:22
Xibo 57,02 ---// Samples:9
Ukrainian-Poltava 56,92 ---// Samples:24
Poleshtchuk 56,6 ---// Samples:8
English 56,35 ---// Samples:34
Slovak 56,17 ---// Samples:15
Ukrainian-East 56,09 ---// Samples:17
Turkmen 55,95 ---// Samples:29
Naxi 55,81 ---// Samples:8
Chechen 55,56 ---// Samples:26
Irish-and-Scottish 55,47 ---// Samples:18
Polish 55,33 ---// Samples:25
Tu 55,3 ---// Samples:10
Cornish 55,26 ---// Samples:31
Uttar-Pradesh-HC 54,86 ---// Samples:15
Tadjik 54,78 ---// Samples:20
Uygur 54,76 ---// Samples:14
Burusho 54,41 ---// Samples:25
Swedish 54,31 ---// Samples:20
Kosovar 54,27 ---// Samples:13
Chukchi 54,16 ---// Samples:12
Russian-West 54,06 ---// Samples:30
Norwegian 53,99 ---// Samples:17
Mongola 53,71 ---// Samples:12
Kumyk 53,59 ---// Samples:18
Yakut 53,59 ---// Samples:25
Bulgarian 53,08 ---// Samples:31
Oroqen 52,92 ---// Samples:9
Nivh 52,88 ---// Samples:6
Croatian 52,77 ---// Samples:23
Gujarati 52,38 ---// Samples:24
Slovenian 52,38 ---// Samples:15
Bosnian 52,12 ---// Samples:14
Koryak 51,88 ---// Samples:17
Russian-Meshtchora 51,84 ---// Samples:6
Hungarian 51,7 ---// Samples:22
Lezgin 51,4 ---// Samples:22
Macedonian 51,31 ---// Samples:14
Serbian 51,14 ---// Samples:18
Balkarian 51,03 ---// Samples:25
Tuscan 50,82 ---// Samples:30
Erzya 50,54 ---// Samples:11
Romanian 49,72 ---// Samples:13
Even 49,68 ---// Samples:20
Kanjar 49,47 ---// Samples:8
Spanish 49,42 ---// Samples:34
Adygei 49,24 ---// Samples:17
Daur 49,24 ---// Samples:10
Yi 48,88 ---// Samples:10
Han-North 48,83 ---// Samples:10
Ossetian 48,72 ---// Samples:20
Basque 48,32 ---// Samples:20
Montenegrian 48,32 ---// Samples:14
Azerbaijani 48,31 ---// Samples:21
Sicilian 47,52 ---// Samples:20
Pathan 47,36 ---// Samples:26
Greek_Azov 47,2 ---// Samples:5
Sindhi 47,1 ---// Samples:24
Turkish 47,08 ---// Samples:25
Italian-South 46,82 ---// Samples:18
French 46,21 ---// Samples:27
Ashkenazi 45,94 ---// Samples:19
Burmese 45,85 ---// Samples:25
Tujia 45,73 ---// Samples:10
UAE 45,3 ---// Samples:14
Cypriot 45,17 ---// Samples:12
Miao 45,01 ---// Samples:10
Iranian 44,61 ---// Samples:20
Brahui 44,51 ---// Samples:25
Hezhen 44,39 ---// Samples:7
Kalash 44,29 ---// Samples:23
Maya 43,79 ---// Samples:21
Tatar-Crimean-Coast 43,79 ---// Samples:4
Japanese 43,72 ---// Samples:27
Greek 43,33 ---// Samples:18
Armenian-West 42,86 ---// Samples:25
Abkhazian 42,69 ---// Samples:23
Dai 42,61 ---// Samples:10
Sardinian 41,89 ---// Samples:27
Balochi 41,79 ---// Samples:24
Gagauz 41,78 ---// Samples:12
Nganassan 41,75 ---// Samples:14
Andhra-Pradesh 41,44 ---// Samples:14
Uttar-Pradesh 41,36 ---// Samples:22
Cambodian 41,17 ---// Samples:9
Viet 41,07 ---// Samples:18
Armenian-East 40,69 ---// Samples:30
Georgian 40,34 ---// Samples:28
Han 40,24 ---// Samples:33
Kol 39,97 ---// Samples:17
She 39,96 ---// Samples:10
Sephard 38,1 ---// Samples:19
Druze 37,95 ---// Samples:42
Makrani 37,55 ---// Samples:25
Palestinian 37,54 ---// Samples:45
Lahu 37,51 ---// Samples:8
Karnataka 37,22 ---// Samples:13
Syrian 36,12 ---// Samples:16
Bedouin 36,11 ---// Samples:45
Jordanian 35,63 ---// Samples:20
Tamil-Nadu 34,63 ---// Samples:19
Kurd 33,39 ---// Samples:6
Yemenite 33,09 ---// Samples:10
Munda 32,95 ---// Samples:20
Saud 32,89 ---// Samples:20
Tunisian 32,37 ---// Samples:12
Kerala 32,31 ---// Samples:10
Moroccan 32,12 ---// Samples:25
Karitiana 31,54 ---// Samples:13
Egyptian 26,87 ---// Samples:12
Melanesian 21,88 ---// Samples:7
Ethiopian 17,3 ---// Samples:19
Papuan 9,75 ---// Samples:16
BantuKenia 4,59 ---// Samples:11
Yoruba 3,23 ---// Samples:20 

К27, К7, К36 components:

 0.00%  Nilotic-Omotic      
  2.39%  Ancestral-South-Ind.
 21.21%  North-European-Balt.
 10.33%  Uralic              
  0.00%  Australo-Melanesian 
 14.46%  East-Siberian       
  0.66%  Ancestral-Yayoi     
  0.00%  Caucasian-Near-East.
 13.27%  Tibeto-Burman       
  0.43%  Austronesian        
  0.00%  Central-African-Pygm
  0.04%  Central-African-HG  
  0.00%  Nilo-Saharian       
  0.00%  North-African       
 12.46%  Gedrosia-Caucasian  
  0.00%  Cushitic            
  0.00%  Congo-Pygmean       
  0.00%  Bushmen             
  3.61%  South-Meso-Amerind. 
  5.95%  South-West-European 
  3.49%  North-Amerindian    
  0.00%  Arabic              
  3.33%  North-Circumpolar   
  2.52%  Kalash              
  1.59%  Papuan-Australian   
  4.26%  Baltic-Finnic       
  0.00%  Bantu

 25.01%  ANE                 
  3.69%  ASE                 
 29.78%  WHG-UHG             
 34.29%  East_Eurasian       
  0.23%  West_African        
  1.39%  East_African        
  5.61%  ENF

  6.68%  Amerindian          
  0.00%  Arabian             
  0.00%  Armenian            
  0.00%  Basque              
  0.00%  Central_African     
  1.54%  Central_Euro        
  0.00%  East_African        
  0.80%  East_Asian          
  0.02%  East_Balkan         
  8.56%  East_Central_Asian  
  4.28%  East_Central_Euro   
  0.00%  East_Med            
  6.04%  Eastern_Euro        
 10.63%  Fennoscandian       
  0.04%  French              
  0.00%  Iberian             
  1.90%  Indo-Chinese        
  0.00%  Italian             
  0.00%  Malayan             
  0.00%  Near_Eastern        
  0.00%  North_African       
  5.22%  North_Atlantic      
  2.27%  North_Caucasian     
 10.96%  North_Sea           
  0.00%  Northeast_African   
  0.51%  Oceanian            
  0.00%  Omotic              
  0.00%  Pygmy               
 23.37%  Siberian            
  0.00%  South_Asian         
 14.02%  South_Central_Asian 
  1.05%  South_Chinese       
  2.10%  Volga-Ural          
  0.00%  West_African        
  0.00%  West_Caucasian      
  0.00%  West_Med 

Closest ancient matches: ^{(all rights reserved, by Danismend)}

1) Hun_Tian_Shan_DA385 @ 8,107176
2) Hun_Tian_Shan_DA100 @ 10,030619
3) Saka_Central_DA13 @ 10,077415
4) Scythian_Aldy_Bel_A10 @ 10,528638
5) Bashkir @ 10,96053
6) Karasuk @ 11,011368
7) Scythian_Aldy_Bel_A17 @ 11,177253
8) Hun_Tian_Shan_DA74 @ 12,282976
9) Xiongnu_DA38 @ 12,37718
10) Hun_Tian_Shan_DA65 @ 12,678623
11) Scythian_Pazyryk_Be9 @ 13,077074
12) Scythian_Zevakino_Chilikta_Ze6 @ 14,347163
13) Saka_Tian_Shan_DA56 @ 14,765843
14) Hun_Tian_Shan_DA101 @ 16,087256
15) Scythian_Zevakino_Chilikta_IS2 @ 17,271072
16) Hun_Tian_Shan_DA85 @ 17,942356
17) Xiongnu_DA41 @ 18,132184
18) Karluk_DA222 @ 18,241096
19) Saka_Tian_Shan_DA47 @ 18,748534
20) Gokturk_DA228 @ 19,167283 

[Crimson Winds]

Which part of the stepp does sample is from ?

[Proto-Shaman]

MDLP K16 Modern:

Using 1 population approximation:
1 Bashkir_Kildigulovo @ 10.254370
2 Bashkir_Muradymovo @ 10.606437
3 Bashkir_Ufa @ 11.037541
4 Bashkir_Ilbragimovo @ 11.879532
5 Bashkir_Akyar @ 11.932267
6 Bashkir_Bashkortostan @ 11.956866
7 Udmurd_Udmurtia @ 15.694634
8 Mari_Mari_El @ 16.409328
9 Forest_Yukaghir_Kolyma @ 17.113398
10 Shor_Kemerovo @ 18.297850
11 Hakas_Khakassia @ 18.766214
12 Lipka_Tatar_Belorus @ 19.761839
13 Tatars_Tatarstan @ 19.960342
14 Saami_Finnmark @ 20.369972
15 Chuvash_Chuvashia @ 20.841568
16 Turkmen_Shumanay @ 21.097605
17 Komi_Komi_Republic @ 21.430286
18 Karakalpak_Karakalpakstan @ 22.095615
19 Khanty_Khanty–Mansi @ 22.468637
20 Turkmen_Xojayli @ 22.535892

Using 2 populations approximation:
1 50% Komi_Komi_Republic +50% Shor_Kemerovo @ 8.994561


Using 3 populations approximation:
1 50% Bashkir_Kildigulovo +25% Tlingit_NA +25% Tubalar_(Altai) @ 4.584065 

MDLP K23b:

Using 1 population approximation:
1 Bashkir_ @ 13.671241
2 Tatar-Siberian_ @ 14.948604
3 Turkmen_Afghan_ @ 20.315805
4 Uzbek_ @ 20.357229
5 Uygur-Han_ @ 20.750023
6 Tajik_Tajikistan_ @ 20.949202
7 Karakalpak_ @ 21.037107
8 Kazahs_ @ 22.154697
9 Chuvashs_ @ 22.446642
10 Crimean_Tatar_Step_ @ 22.738943
11 Uygur_ @ 22.880934
12 Udmurd_ @ 24.189981
13 Tatar_ @ 24.298927
14 Tatar_Lithuania_ @ 24.419533
15 Mari_ @ 24.910999
16 Turkmen_Uzbekistan_ @ 24.945440
17 Hazara_ @ 25.050236
18 Kazakh_ @ 25.446329
19 Chuvash_ @ 25.594006
20 Tatar-Kazan_ @ 26.162281

Using 2 populations approximation:
1 50% Hazara_ +50% Saami_ @ 9.878033

Using 3 populations approximation:
1 50% Hakas_ +25% Karelian_ +25% Tajik_Pomiri_Rushan_ @ 8.627037 

[Proto-Shaman]

Which part of the stepp does sample is from ?

Eastern steppe (Mongolia)

[Crimson Winds]

Turkic-Uralic mix.

[Leto]

Obviously not a 'proto-Scythian'. You are pushing your Turkic and Turanist agenda. This individual was like 40% mongoloid. About as white as the Gök Türük sample.

Admix Results (sorted):

# Population Percent
1 North_European 33.23
2 Siberian 21.17
3 East_Asian 19.52
4 Gedrosia 15.14
5 Atlantic_Med 7.16
6 South_Asian 2.03
7 Southeast_Asian 1.24
8 Sub_Saharan 0.5

Single Population Sharing:

# Population (source) Distance
1 Uzbeks (Behar) 22.22
2 Uygur (HGDP) 26.7
3 Hazara (HGDP) 27.34
4 Chuvashs (Behar) 27.49
5 Altai (Rasmussen) 33.51
6 Tajiks (Yunusbayev) 34.19
7 Nogais (Yunusbayev) 37.41
8 Mordovians (Yunusbayev) 40.74
9 Mongol (Rasmussen) 40.91
10 Turkmens (Yunusbayev) 40.96
11 Russian (HGDP) 41.27
12 Hungarians (Behar) 41.62
13 German (Dodecad) 42.73
14 Mixed_Germanic (Dodecad) 43.86
15 Romanians (Behar) 44.21
16 Russian (Dodecad) 44.43
17 Dutch (Dodecad) 44.55
18 Swedish (Dodecad) 44.61
19 Bulgarian (Dodecad) 44.71
20 Tuva (Rasmussen) 45.02

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 50.2% Hazara (HGDP) + 49.8% Chuvashs (Behar) @ 10.58
2 64.5% Hazara (HGDP) + 35.5% FIN30 (1000Genomes) @ 10.58
3 65.4% Hazara (HGDP) + 34.6% Finnish (Dodecad) @ 10.69
4 55.3% Altai (Rasmussen) + 44.7% Mordovians (Yunusbayev) @ 10.78
5 57.7% Altai (Rasmussen) + 42.3% Swedish (Dodecad) @ 10.78
6 57.6% Altai (Rasmussen) + 42.4% Russian (Dodecad) @ 10.91
7 61.2% Altai (Rasmussen) + 38.8% Lithuanian (Dodecad) @ 11.04
8 62.2% Altai (Rasmussen) + 37.8% Lithuanians (Behar) @ 11.06
9 55.7% Altai (Rasmussen) + 44.3% Russian (HGDP) @ 11.21
10 58.7% Altai (Rasmussen) + 41.3% Polish (Dodecad) @ 11.23
11 58.1% Altai (Rasmussen) + 41.9% Mixed_Slav (Dodecad) @ 11.24
12 59.8% Altai (Rasmussen) + 40.2% Belorussian (Behar) @ 11.37
13 59.2% Altai (Rasmussen) + 40.8% FIN30 (1000Genomes) @ 11.47
14 60.1% Altai (Rasmussen) + 39.9% Finnish (Dodecad) @ 11.75
15 58.3% Altai (Rasmussen) + 41.7% Russian_B (Behar) @ 11.77
16 58.1% Altai (Rasmussen) + 41.9% Norwegian (Dodecad) @ 11.79
17 58.3% Altai (Rasmussen) + 41.7% Ukranians (Yunusbayev) @ 11.98
18 50.9% Uygur (HGDP) + 49.1% Chuvashs (Behar) @ 12.14
19 50.1% Mordovians (Yunusbayev) + 49.9% Mongol (Rasmussen) @ 12.37
20 61.8% Hazara (HGDP) + 38.2% Russian (HGDP) @ 12.51


Admix Results (sorted):

# Population Percent
1 NE-Euro 30.84
2 Siberian 17.91
3 Baloch 15.8
4 NE-Asian 13.91
5 American 6.31
6 Beringian 5.78
7 Mediterranean 4.93
8 Caucasian 1.37
9 S-Indian 1.19
10 Papuan 1.11
11 W-African 0.48
12 SE-Asian 0.38

Single Population Sharing:

# Population (source) Distance
1 uzbek (behar) 22.88
2 chuvash (behar) 23.16
3 kazakh (harappa) 25.32
4 uyghur (hgdp) 26.45
5 hazara (hgdp) 27.61
6 kyrgyz (xing) 29.3
7 kyrgyz (hodoglugil) 30.66
8 tajik (yunusbayev) 31.05
9 altaian (rasmussen) 31.76
10 nogai (yunusbayev) 34.91
11 mordovian (yunusbayev) 35.02
12 hungarian (behar) 36.38
13 turkmen (yunusbayev) 36.45
14 selkup (rasmussen) 36.56
15 slovenian (xing) 36.87
16 russian (hgdp) 36.95
17 romanian-a (behar) 37.31
18 ukranian (yunusbayev) 37.9
19 bulgarian (yunusbayev) 38.79
20 n-european (xing) 39.05

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 55.3% chuvash (behar) + 44.7% hazara (hgdp) @ 10.46
2 54.1% chuvash (behar) + 45.9% uyghur (hgdp) @ 10.83
3 52.9% chuvash (behar) + 47.1% kazakh (harappa) @ 11.33
4 58.7% chuvash (behar) + 41.3% kyrgyz (hodoglugil) @ 11.78
5 59.6% kazakh (harappa) + 40.4% mordovian (yunusbayev) @ 12
6 61% kazakh (harappa) + 39% russian (hgdp) @ 12.01
7 52.8% altaian (rasmussen) + 47.2% mordovian (yunusbayev) @ 12.08
8 50.4% uzbek (behar) + 49.6% chuvash (behar) @ 12.23
9 55.2% kyrgyz (xing) + 44.8% mordovian (yunusbayev) @ 12.25
10 56.7% kyrgyz (xing) + 43.3% russian (hgdp) @ 12.34
11 66.5% kazakh (harappa) + 33.5% lithuanian (behar) @ 12.36
12 58.5% hazara (hgdp) + 41.5% russian (hgdp) @ 12.39
13 60% altaian (rasmussen) + 40% lithuanian (behar) @ 12.59
14 54.4% altaian (rasmussen) + 45.6% russian (hgdp) @ 12.66
15 55.1% altaian (rasmussen) + 44.9% ukranian (yunusbayev) @ 12.66
16 62.4% kyrgyz (xing) + 37.6% lithuanian (behar) @ 12.74
17 57.4% altaian (rasmussen) + 42.6% belorussian (behar) @ 12.76
18 53.9% kyrgyz (hodoglugil) + 46.1% mordovian (yunusbayev) @ 12.83
19 60.1% chuvash (behar) + 39.9% altaian (rasmussen) @ 12.85
20 55.5% kyrgyz (hodoglugil) + 44.5% russian (hgdp) @ 12.93

[Crimson Winds]

Scythian is not a clearly defined ethnonym but since this sample is located in ''Scythia'' so no problem using that word.

[Proto-Shaman]

Eurogenes K15:

Using 1 population approximation:
1 Tatar @ 19.279459
2 Afghan_Turkmen @ 19.504276
3 Uzbeki @ 20.617527
4 Afghan_Hazara @ 23.029123
5 Uygur @ 23.616375
6 Shors @ 23.689121
7 Hazara @ 24.171581
8 Chuvash @ 25.133995
9 Hakas @ 26.537380
10 Mari @ 26.899902
11 Nogay @ 29.518576
12 East_Finnish @ 31.151104
13 Altaian @ 32.053253
14 Tadjik @ 32.801640
15 Afghan_Uzbeki @ 32.865181
16 Afghan_Tadjik @ 32.889328
17 Kargopol_Russian @ 32.959457
18 Finnish @ 33.269302
19 Erzya @ 33.804295
20 Moldavian @ 33.874161

Using 2 populations approximation:
1 50% Finnish +50% Hakas @ 12.010271

Using 3 populations approximation:
1 50% Shors +25% Swedish +25% Uzbeki @ 8.222796

Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++++
1 Afghan_Hazara + Chukchi + Chuvash + Swedish @ 6.661330
2 Afghan_Hazara + Chukchi + Chuvash + North_Swedish @ 6.697355
3 Afghan_Hazara + Chukchi + Chuvash + Norwegian @ 6.802769
4 Chukchi + Chuvash + Hazara + Swedish @ 6.805154
5 Afghan_Hazara + Chukchi + Chuvash + West_Norwegian @ 6.818114
6 Chukchi + Chuvash + Hazara + West_Norwegian @ 6.856012
7 Chukchi + Chuvash + Hazara + Norwegian @ 6.918417
8 Afghan_Tadjik + Hakas + North_Swedish + West_Greenlander @ 6.999903
9 Chukchi + Chuvash + Swedish + Uygur @ 7.004512
10 Chukchi + Chuvash + Hazara + North_Swedish @ 7.005711
11 Afghan_Tadjik + North_Swedish + Shors + West_Greenlander @ 7.077232
12 Chukchi + Chuvash + North_Swedish + Uygur @ 7.081596
13 Hazara + Mari + Swedish + West_Greenlander @ 7.108346
14 Afghan_Uzbeki + Hakas + North_Swedish + West_Greenlander @ 7.113306
15 Afghan_Hazara + North_Swedish + Shors + West_Greenlander @ 7.120018
16 Chukchi + Chuvash + Norwegian + Uygur @ 7.120953
17 Hazara + Mari + West_Greenlander + West_Norwegian @ 7.124165
18 MA-1 + Nogay + North_Swedish + Oroqen @ 7.137330
19 Chukchi + Chuvash + Uygur + West_Norwegian @ 7.142199
20 Hakas + North_Swedish + Tadjik + West_Greenlander @ 7.144660 

puntDNAL K12 Ancient:

Using 1 population approximation:
1 Scythian_IA_I0247 @ 23.181112
2 Kostenki14_UP_SG @ 27.624016
3 MA1_SG @ 29.278578
4 Andronovo_SG_RISE505 @ 30.756672
5 Srubnaya_I0430 @ 33.353371
6 Corded_Ware_Germany_I0103 @ 33.361523
7 Corded_Ware_Germany_I0104 @ 33.518703
8 Afanasievo_SG_RISE511 @ 33.834591
9 Yamnaya_Samara_I0231 @ 33.854820
10 Yamnaya_Samara_I0443 @ 33.885986
11 Potapovka_I0419 @ 34.225605
12 Corded_Ware_Estonia_RISE00 @ 34.334637
13 Srubnaya_I0232 @ 34.731747
14 Bell_Beaker_Czech_RISE569 @ 34.808762
15 Sintashta_MBA_RISE395 @ 34.999512
16 BattleAxe_Sweden_SG_RISE94 @ 35.151451
17 Yamnaya_Kalmykia_SG_RISE552 @ 35.186169
18 Poltavka_I0440 @ 35.544952
19 Sintashta_MBA_RISE_386 @ 35.906315
20 Nordic_LN_SG_RISE97 @ 36.525673

Using 2 populations approximation:
1 50% Scythian_IA_I0247 +50% Kostenki14_UP_SG @ 20.909929

Using 3 populations approximation:
1 50% Scythian_IA_I0247 +25% Scythian_IA_I0247 +25% Ust_Ishim_DG @ 18.370047 

puntDNAL K15:

Using 1 population approximation:
1 Bashkir @ 12.627924
2 Chuvash @ 25.662119
3 Uyghur @ 25.802563
4 Uzbek @ 26.402287
5 Hazara @ 27.451042
6 Nogai @ 34.902508
7 Turkmen @ 35.785240
8 Tadjik @ 36.415604
9 Bosnian @ 38.201988
10 Selkup @ 38.736141
11 Croatian @ 39.971554
12 Serbian @ 40.135342
13 Hungarian @ 40.198563
14 Macedonian @ 40.451061
15 Mexican @ 41.003990
16 Slovenian @ 41.252018
17 Karelian @ 41.690498
18 Mordovian @ 41.699238
19 Austrian @ 41.767155
20 Bulgarian @ 41.797066

Using 2 populations approximation:
1 50% Chuvash +50% Uyghur @ 9.091921

Using 3 populations approximation:
1 50% Chuvash +25% Bashkir +25% Burmese @ 8.698667

Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++
1 Chuvash + Bashkir + Bashkir + Burmese @ 8.696944
2 Chuvash + Chuvash + Bashkir + Burmese @ 8.698667
3 Lithuanian + Selkup + Tadjik + Cambodian @ 9.040080
4 Lithuanian + Bashkir + Hazara + Mongolian @ 9.051076
5 Lithuanian + Bashkir + Uzbek + Mongolian @ 9.076528
6 Chuvash + Chuvash + Uyghur + Uyghur @ 9.091921
7 Lithuanian + Bashkir + Uyghur + Mongolian @ 9.102372
8 Belarusian + Chuvash + Hazara + Mongolian @ 9.132809
9 Lithuanian + Chuvash + Hazara + Mongolian @ 9.135606
10 Russian + Chuvash + Hazara + Mongolian @ 9.160645
11 Karelian + Chuvash + Hazara + Mongolian @ 9.189022
12 Russian + Chuvash + Uyghur + Mongolian @ 9.248740
13 Karelian + Chuvash + Uyghur + Mongolian @ 9.259892
14 Bashkir + Bashkir + Bashkir + Uyghur @ 9.269854
15 Belarusian + Chuvash + Uyghur + Mongolian @ 9.272172
16 Lithuanian + Chuvash + Uyghur + Mongolian @ 9.298481
17 Finnish + Chuvash + Hazara + Mongolian @ 9.309773
18 Lithuanian + Selkup + Tadjik + Filipino @ 9.323905
19 Chuvash + Chuvash + Uyghur + Hazara @ 9.336049
20 Lithuanian + Bashkir + Hazara + Koryak @ 9.341706 

[Proto-Shaman]

Obviously not a 'proto-Scythian'. You are pushing your Turkic and Turanist agenda. This individual was like 40% mongoloid.

You have problem with reality.

[Cumansky]

These Mongol Pazyryks, not real Scythians from Ukraine