K36 calculator

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05-24-2022, 09:44 AM
mariusz99

Should I use full ancient datasheet with Slavic samples with closest distances to modern Ukraine, Belarus and Poland ( but it can increase % of southern samples) or to delete and use only Slavic samples with closest distances to modern Poland ?
05-25-2022, 09:07 PM
mitalit

Differences between the old data and the full genome.
It has more than three times the SNPs of the old (the old data is from 23andme, which is pretty shitty raw)

Target: Xabi_Full-Genome
Distance: 650.6230% / 6.50622967 | ADC: 0.25x RC
66.0 Spanish_Castello
15.6 Spanish_Girona
6.4 German_East_Prussia_Central
5.2 Spanish_Aragon
4.8 Darginian
2.0 German_Lower_Silesia

Target: Xabi_Old
Distance: 888.2911% / 8.88291073 | ADC: 0.25x RC
80.2 Spanish_Castello
19.8 Austrian_LowerAustria

-----------------------------------------------------------------

Distance to: Xabi_Full-Genome
7.65086270 Spanish_Girona
8.23020048 Spanish_Eivissa
8.24542297 Spanish_Mallorca
8.70279266 Spanish_Camp_de_Tarragona
8.73225629 Spanish
8.97531615 Spanish_Castello
9.04993370 Spanish_Lleida
9.85250730 Spanish_Penedes
9.94154918 Spanish_Catalunya_Central
10.15295523 Portuguese_Azores
10.24956097 Spanish_Peri-Barcelona
10.44025383 Spanish_Galicia
10.64535110 Spanish_Valencia
10.64644542 Portuguese
10.69068286 Spanish_Pirineu
10.80479060 Spanish_Aragon
10.81924674 Spanish_Barcelones
10.91336337 Spanish_Valencia
10.98270458 Spanish_Alacant
11.17815727 Spanish_Andalusia
11.18104646 Spanish_Terres_de_l'Ebre
12.31124689 Spanish_Baleares
13.46533698 Spanish_Cantabria
13.82776829 French_Provence
14.42773024 French_Central

Distance to: Xabi_Old
9.73529661 Spanish_Mallorca
10.21119484 Spanish_Girona
10.49398399 Spanish_Castello
10.64432243 Spanish_Camp_de_Tarragona
10.97385074 Spanish_Eivissa
11.10246369 Spanish_Lleida
11.21159667 Spanish_Penedes
11.32942629 Spanish
11.96122903 Spanish_Catalunya_Central
12.16454274 Spanish_Peri-Barcelona
12.35830895 Spanish_Baleares
12.71091263 Spanish_Barcelones
12.73845752 Portuguese_Azores
12.77466634 Spanish_Galicia
13.24212596 Spanish_Valencia
13.24677319 Spanish_Alacant
13.26391345 Portuguese
13.45356087 Spanish_Pirineu
13.63060527 Spanish_Andalusia
13.74882904 Spanish_Valencia
13.88232329 Spanish_Aragon
14.14226290 Spanish_Terres_de_l'Ebre
14.62124482 Italian_Aosta
14.82658423 French_Central
15.11831260 French_Provence
05-25-2022, 09:38 PM
JamesBond007

Quote:

Originally Posted by Creoda

Try it:

https://pastebin.com/6tM7n6n5

Quickly convert your K36 score to Vahaduo format here:
https://trinket.io/python/41dad9165d...&runOption=run

Note: Most of the averages (especially outside NW Europe) are not based on many samples, so take it with a grain of salt. Also high distances relative to other calculators are a feature of K36.

Mine and family's scores:

Code:

Distance to: Creoda 8.77827432 English_West-Midlands 9.31678593 English_East 9.34704766 English_East-Midlands 9.36183743 Scottish 9.38600554 English_Lancashire 9.43814071 Dutch 9.55236096 English_Yorkshire 9.55313561 English_Northeast 9.59769243 Dutch_Central 9.65176668 Welsh 9.68710999 German_Northwest 9.86858652 Danish 9.95456679 English_Southeast 10.56607306 Irish_Leinster 10.65149285 Irish_Munster 10.94807289 English_Southwest 10.96743817 Irish_Connacht 11.23640067 Cornish 11.24839544 Dutch_North 11.63188291 Dutch_South Target: Creoda Distance: 8.6076% / 8.60763306 | R2P | ADC: 0.25x RC 73.7 English_West-Midlands 26.3 Danish Target: Creoda Distance: 8.6032% / 8.60321392 | ADC: 0.25x RC 66.9 English_West-Midlands 20.8 Danish 7.5 German_Northwest 4.8 Scottish

Code:

Distance to: CreodaMum 6.71648718 English_East 7.03744272 English_East-Midlands 7.12207835 English_West-Midlands 7.41599622 English_Lancashire 7.62043962 English_Southeast 8.00213721 Dutch_Central 8.00897621 English_Yorkshire 8.09528258 Dutch 8.22378866 English_Northeast 8.37418653 German_Northwest 8.59442843 Dutch_South 8.60328426 Scottish 8.77297555 Welsh 9.20091843 Danish 9.22021692 English_Southwest 9.36799338 Flemish 9.59693180 German 9.65632435 Irish_Leinster 9.65828142 Belgian 9.90460499 Irish_Munster Target: CreodaMum Distance: 6.5820% / 6.58202650 | R2P | ADC: 0.25x RC 95.3 English_East 4.7 Polish Target: CreodaMum Distance: 6.6002% / 6.60019987 | ADC: 0.25x RC 91.3 English_East 8.7 German_East

Code:

Distance to: CreodaDad 7.79533835 Scottish 7.90461258 English_Northeast 7.91018331 German_Northwest 7.98590634 English_Yorkshire 8.26456290 Irish_Leinster 8.29960240 English_West-Midlands 8.45955673 Welsh 8.48061319 Irish_Munster 8.53437168 Danish 8.67302715 Dutch 8.80031818 Irish_Connacht 8.85285830 English_Southeast 9.04374922 English_Lancashire 9.08559299 English_East-Midlands 9.15674615 Cornish 9.24407919 English_East 9.27190380 Dutch_Central 9.57044931 German 9.74834858 Dutch_North 10.04986567 Icelandic Target: CreodaDad Distance: 6.1419% / 6.14194885 | R2P | ADC: 0.25x RC 75.3 Irish_Munster 24.7 Slovak Target: CreodaDad Distance: 5.6801% / 5.68011382 | ADC: 0.25x RC 38.1 Irish_Munster 28.2 German_Northwest 22.7 Cornish 10.3 Latvian 0.7 Slovak

Nice work creoda but k36 might be too ambitious and G25 is too fine grained for moderns.

Best GEDmatch Calculator For Western And North Western Europe

These are the regions I’m talking about:

Ireland
United Kingdom
Austria
Belgium
France
Germany
Netherlands
Luxembourg
Switzerland

So here’s the bad news. If your heritage is predominantly western or northwest European, then most of the calculators aren’t for you! There’s a simple reason for this: the motivations of the project creators.
Broadening Admixture Research

The admixture projects started to appear on GEDmatch in 2011/12. At the time, 23andMe and FamilyTreeDNA were the biggest providers of tests. A high percentage of customers were Americans of Western European ancestry.

The project creators were reacting to the fact that back in the early days of consumer DNA testing, the emphasis was squarely on Western European heritage.

There were also a growing number of academic genome studies that were based out of the United States. The project creators felt that there was too much focus on Western Europe, and other regions of the world were somewhat overlooked.

This makes all kinds of sense when you know the backgrounds of each creator. Dienekes of Dodecad has Greek ancestry, while Davidski of Eurogenes is of Polish background. Vadim of MDLP is Estonian. Zack of HarappaWorld and Dilawer of GedrosiaDNA have Asian heritage. And you can surely guess the origins of Etyopis of Ethiohelix!
Are Any Calculators Good For Western Europe?

Having said that, there are a few calculators that may be good for you.

In general, the Eurogenes project leans toward the east, but other Europeans report good results with these calculators:

Eurogenes K15
MDLP K23b

The links above are to in-depth reviews of each calculator. I include further links to forums where people discuss their results.
Remaining Time -0:02
see more about these authors here
Genealogy Quotes By Writers

In terms of my own experience, half my heritage is Irish. I’ve seen a few Irish testers sing the praises of PuntDNAL K13 Global, but it’s only okay-ish for me.
Best GEDmatch Calculator For Southern European

By Southern Europe, I’m referring to:

Portugal
Italy
Greece
Spain

MDLP K23b gets good reports from people with southern European heritage.
Best GEDmatch Calculator For East European

The MDLP World-22 calculator should do well for these ancestries:

Armenian
Belarusian
Bulgarian
Eastern Polish
Latvians from Latgale
Lithuanian
Mordovian
Romanian
Russians
Turkish
Ukrainian
Uzbek

You may also get good results from Eurogenes K13 and Eurogenes K15.

The links will take you to our detailed reviews of each calculator. Our reviews also have links to forum threads where people post their results, which may be similar to yours.
Best GEDmatch Calculator For West Asian Heritage

By West Asia, I’m referring to these territories (and there’s a few more):
Cyprus Turkey Afghanistan
Armenia Azerbaijan Georgia
Bahrain Iran Iraq
Israel Jordan Lebanon
Oman Qatar Saudi Arabia
Syria Yemen

People report good results with Gedrosia K12 and Dodecad V3.

I’ll point out that the Dodecad project is the oldest on GEDmatch, and is considered to be the most outdated.
Best GEDmatch Calculator For South Asian Heritage

By South Asia, I’m referring to these territories:

Afghanistan
Bangladesh
Bhutan
India
Nepal
Pakistan
Sri Lanka

The HarappaWorld calculator was created to focus on Southern Asian heritage.

The PuntDNAL project is more recent. Its K13 Global calculator may give you good results.

Some people are happy with the MDLP World-22 calculator.

And you should read the section of our MDLP article on MDLP K23b. We have a link to a forum thread where there is some lengthy analysis by a commentator about the results and his South Asian heritage.
Best GEDmatch Calculator For East Asian Heritage

By East Asian, I’m referring to these regions:

China
Japan
Mongolia
North Korea
South Korea
Taiwan

You are going to have the same challenges as faced by people of African descent. There just weren’t enough DNA samples available when these projects were created.

However, some people report good results with Eurogenes K15.
Best GEDmatch Calculator For Indian Heritage

HarappaWorld is generally considered to be the best calculator for the many varieties of Indian heritage.
Best GEDmatch Calculator For African Heritage

The EthioHelix project creator is of Ethiopian heritage. I had a particular interest in this project, as half my ancestry is African.

The EthioHelix K10 calculator is for people solely of African ancestry. If you have other heritage, it will likely be lumped into the North African population.

EthioHelix also has calculators for a combined heritage of African and a “plus one”. You can pick from a choice of + France, + Japanese, and + Palestinian. I’ve got a breakdown at this link of the differences between each of these mixed calculators.

The K10 + French should be the most suitable for me. I found that the results were reasonable.

I also found that the PuntDNAL K8 African calculator had a good admixture breakdown for my African heritage. However, the Oracle results were poor.

You can also check out the MDLP K23b calculator, which has six African populations amongst the reference samples. The Dodecad Africa9 calculator was the first one aimed to explore African ancestry.

I’ll mention here that the Dodecad project creator warned that it was most suitable for people of solely African heritage. For people of mixed heritage, it would only work if the non-African ancestry was “West Eurasian”. Don’t worry, I explain that further in my detailed Dodecad review.
Abbreviations And Acronyms

Many of the admixture projects use abbreviations and acronyms in their displays. It’s not always clear what they mean!

I’ve put together a glossary of GEDmatch admixture abbreviations. The article lists them in alphabetical order – so either scroll down the page or use the browser search feature to find what you need.
More Articles And Tutorials

We have a range of articles about using GEDmatch. You can get a list on our GEDmatch category page.

If you want to be notified of future articles, we have a round-up in our monthly newsletter.

.

https://www.dataminingdna.com/best-g...Western_Europe
05-26-2022, 08:53 PM
noricum

Target: K36_noricum_mom
Distance: 1173.5074% / 11.73507440
42.4 North_Macedonian-2
29.4 Upper_Silesia
13.0 Cornish
12.4 Russian_Pinezhsky
2.8 Spanish_Cantabria

Target: K36_noricum_mom
Distance: 1175.5785% / 11.75578520 | ADC: 0.25x RC
43.8 North_Macedonian-2
28.4 Upper_Silesia
15.6 Cornish
12.2 Russian_Pinezhsky

Distance to: K36_noricum_mom
15.52797476 Hungarian
15.77156619 Slovak_2
16.01881082 Slovenian
16.15324426 Moldova_Centre
16.34520419 Croatian
16.37655336 Serb_Dalmatia
16.44906076 Slovak
16.64605959 Czech_Moravia
16.78111141 German_North_Bohemia
16.91403264 Austrian_Burgenland
17.14659733 Moldova_North
17.29272390 Polish_South
17.29899130 Carpathian_Rusyns
17.30470745 Austrian_Carinthia
17.38609214 German_Thuringia_East
17.39919826 Romanian_Northwest
17.53290050 Serb
17.60654140 Romanian_Northeast
17.67684644 Ukrainian_Lviv
17.87929529 Ukrainian_Zakarpattia
18.08056692 Montenegrin
18.09078771 Polish_Upper_Silesia
18.38157501 Czech_Bohemia
18.40554264 Czech
18.52917969 German_Thuringia_Central
05-26-2022, 09:26 PM
Voskos

That's me:

Quote:

Originally Posted by Voskos

Target: Voskos
Distance: 136.9287% / 1.36928680
29.8 Greece_Mycenaean_I9041
16.0 Lebanon_Bronze_Age_I1706
14.2 Spain_I3581_Andalusia
7.4 Kura-Araxes_ARM001
6.0 Ancient_North_Italy_NoIta0117
5.6 Pannonia_Maros_Bronze_Age_3650_YBP_RISE371
3.2 Hungary__P1_Polgar_Ferenci_hat_6300_6100_years_N
3.2 Serbia_NG21_10_Gomolava_6600_years
3.0 Hungary_KO1
2.6 Thraco-Cimmerian_MJ12
2.4 Kura-Araxes_ARM002
2.0 Maykop_Oss001
1.8 Lebanon_Bronze_Age_Canaanite_ERS1790729
1.4 Maykop_I6266_J2
1.2 Kura-Araxes_ARM003
0.2 Kura-Araxes_Vek007_Y-J1

And that's my grandparent, from a village of higher altitude, said to have been heavily settled by Byzantine nobility according to the history of the place. For them I also threw into the spreadsheet (posted by Ajeje Brazdorf) the Dalmatian posted by Lucas on the other thread in order to get a better distance.

Target: grandparent
Distance: 195.1173% / 1.95117274
39.0 Romanized_Dalmatian_Croatia_Novo_Selo
16.4 ARM_Lchashen_I1658
12.0 Anatolia_Hittite_MA2212
8.0 Lebanon_Bronze_Age_Canaanite_ERS1790729
5.8 Lebanon_Bronze_Age_I1706
3.8 Latvia_Inflanty_Kivutkalns194
3.6 Anatolia_Hittite_MA2200
3.6 Hungary_PF811_Polgar_Ferenci_hat_6300_6100_years_N 1a1a2_71%_Italian
3.0 Collegno_CL38_Hellenic_South_Italian
2.4 Greece_Minoan_I9131
2.0 Hungary_Hung2_P1_Polgar_Ferenci_hat
0.2 Iran_Chalkolithic_I1665
0.2 Poland_Corded_Ware_RISE1_Wielkopolska
05-26-2022, 09:28 PM
Voskos

Quote:

Originally Posted by noricum

...

What you get on ancient?

https://www.theapricity.com/forum/sh...60#post7509160
05-26-2022, 09:42 PM
noricum

Quote:

Originally Posted by Voskos

What you get on ancient?

https://www.theapricity.com/forum/sh...60#post7509160

Glad you're asking:

Target: K36_noricum_mom
Distance: 596.9633% / 5.96963346 | ADC: 0.25x RC
21.0 Pannonia_Maros_Bronze_Age_3650_YBP_RISE371
18.4 Early_Medieval_Pole_AV1
17.8 Latvia_ZVEJ31
11.8 Scythian_DA195
8.6 Italy_Proto_Villanovian_Martinsicuro_R1
5.8 Latvia_Inflanty_Kivutkalns153
5.4 Poland_Paluki_Neolithic_Globular_Amphora_Culture_I 2407
4.4 Bell_Beaker_Poland_Malopolska_I4252
3.0 Germany_Tiefbrunn_Corded_Ware_4124_YBP_RISE436
2.2 Germany_Landau_an_der_Isar_Bell_Beaker_3900_YBP_RI SE562
1.6 England_EBA_I7630

Distance to: K36_noricum_mom
15.70913747 Early_Medieval_Pole_AV1
16.29822076 Scythian_scy009(1)
17.15849352 Ancient_Hungary_BR2
19.52844592 Scythian_DA191
19.61112949 Scythian_DA194
20.16026290 Szolad_SZ5_Langobard
20.40695715 Collegno_CL63_Alpine
20.41273622 Szolad_SZ25_Langobard
20.78841023 Scythian_Hungary191
20.89425998 Hallstatt_DA112
21.37479123 England_MBA_I3082
21.69478970 West_Scythian_MJ34
21.79540548 Szolad_SZ18_Pannonian
22.26829585 Scythian_scy009
22.86303567 Szolad_SZ45_Pannonian
23.12410863 Collegno_CL53_670_AD_Langobard
23.21442655 Poland_Corded_Ware_Ancient_Kujawy_N49
23.41120031 Germany_Alberstedt_LNBA_I0118
23.56070670 Poland_Bronze_Age_Silesia_I6579
23.74870523 Szolad_SZ42_Langobard
23.80621137 Sigtuna_Viking_grt036
23.81492809 Unetice_I0116
23.90147485 Hungary_BR1
24.05163612 Early_Medieval_Czech_RISE569_K36
24.49730802 Sunghir6_(Sikora2017)_Russia

Target: K36noricum(austrian)
Distance: 271.5235% / 2.71523454 | ADC: 0.25x RC
19.0 Early_Medieval_Pole_AV1
13.2 Ancient_Hungary_BR2
13.2 Early_Medieval_Pole_AV2
11.4 Scythian_DA195
9.4 Russia_Sungir6_I2a1
8.6 Bell_Beaker_Silesia_I6534
8.2 Sweden_Angamollan_3400_YBP__RISE210
6.6 Pannonia_Maros_Bronze_Age_3650_YBP_RISE371
4.8 Estonia_IIIt_low_quality
3.8 Szolad_SZ20_Langobard_Armenian_45%
1.8 Hungary_KO1

Distance to: K36noricum(austrian)
11.76388116 Scythian_DA191
12.20181544 Scythian_DA194
12.34897567 Ancient_Hungary_BR2
12.35777893 Scythian_scy009(1)
13.34055846 Scythian_Hungary191
14.46102002 Szolad_SZ5_Langobard
15.51263034 Early_Medieval_Pole_AV1
15.93527847 Szolad_SZ25_Langobard
16.50707121 Hallstatt_DA112
16.51193205 Scythian_scy009
16.54848029 Hungary_BR1
17.06374226 Collegno_CL53_670_AD_Langobard
17.11050554 Szolad_SZ22_Langobard
17.33768727 Collegno_CL63_Alpine
17.33904553 Szolad_SZ42_Langobard
17.41301238 Sigtuna_Viking_grt036
17.55313647 England_MBA_I3082
17.59181344 Early_Medieval_Czech_RISE569_K36
18.67289212 Poland_Corded_Ware_Ancient_Kujawy_N49
19.03844006 Germany_Alberstedt_LNBA_I0118
19.14914097 Szolad_SZ18_Pannonian
19.24698158 Szolad_SZ45_Pannonian
19.26828482 Scythian_DA197
19.36893389 Szolad_SZ24_Langobard
19.40669987 Collegno_CL97_Langobard
05-26-2022, 10:27 PM
J. Ketch

Added Ajeje Brazorf's list: https://pastebin.com/T3WwbJ0W

Plus these:

Code:

England_Anglo-Saxon_Teesside:NO3423,0,0,0,0,0,2.07,0,0,1.84,0,6.69,0,6.8,12.79,9.93,12.44,0,0,0,0,0,17.51,0,29.27,0,0,0.67,0,0,0,0,0,0,0,0,0 England_Roman_York_Gladiator:6DRIF-18,0,0,0,1.95,0,4.09,0,0,1.48,0,7.58,0,3.51,6.03,6.38,17.12,0,4.72,0,0,0,17.9,2.22,23.34,0,0.13,0,0,0,0,0,0,0,0.54,0,3.01 England_Roman_York_Gladiator:6DRIF-21,0,0,0,3.07,0,6.92,0,0,0,0,4.61,0,5.17,12.1,6.74,8.83,0,4.12,0,0,0,19.94,10.05,15.17,0,0,0,0,0,0,2.46,0,0,0.41,0,0.36 England_Roman_York_Gladiator:6DRIF-23,0,0,0,2.4,0,2,0,0,0,0,5.85,0,5.09,6.94,7.13,24.19,0,7.06,0,0,0,19.31,4.61,15.1,0,0,0,0.33,0,0,0,0,0,0,0,0 England_Roman_York_Gladiator:6DRIF-22,0,0,0,0,0,9.09,0,0,3.17,0,10.91,0,4.05,7.18,8.49,19.22,0,9.61,0,0,0,15.17,0,10.37,0,0,0.46,0.15,0,0,0,0,0,0,0.79,1.34 England_Roman_York_Gladiator:6DRIF-3,0,0,0,0.17,0,11.01,0,0,0,0,6.44,0,5.03,8.84,5.22,7.91,0,6.31,0,0,0,16.23,6.86,25.57,0,0,0,0.26,0,0,0.13,0,0,0,0,0 England_Roman_York_Gladiator:3DRIF-16,0,0,0,5.85,0,6.14,0,0,1.44,0,5.64,0,7.96,8.82,3.11,10.02,0,12.19,0,0,0,13.73,0,22.37,0,0,0,0,0,0,0,0,1.73,1.02,0,0 Germany_Lech_Valley_EBA:AITI_72,0,0,1.64,1.82,0,5.41,0,0,8.29,0,2.25,0,1.65,5.93,9.33,15.85,0,22.01,0,0,0,7.95,0,10.31,0,0,0.65,0,0,0,0,0,0,0,0,6.91 Germany_Lech_Valley_EBA:AITI_43,0,0,0,2.11,0,6.57,0,0,5.65,0,3.46,0,3.53,2.07,7.82,22.76,0,18.83,0,0,0,11.88,0,7.92,0,0.34,0,0,0,0,0,0,1.03,0,0,6.03 Germany_Lech_Valley_EBA:AITI_78,0.27,0,0,2.32,0,6.14,0,0,0,0,5.94,0,6.28,6.13,8,25.54,0,14.49,0,0,0,7.7,5.22,7.38,0,0.22,0,0,0,0,2.01,0,0,0,0,2.35 Germany_Lech_Valley_EBA:AITI_2,0.45,0,0,3.48,0,5.64,0,0,4,0,4.91,0,2.7,10.28,7.34,18.48,0,12.11,0,0,0,13.74,0,12.44,0,0,0,0,0,0.13,0,0,0,0,2.78,1.53 Germany_Lech_Valley_EBA:AITI_120,0.5,0,6.14,0.08,0,3.21,0,0,2.74,0,0.37,0,7.55,0,4.92,22.8,0,11.65,0,0,0,9.68,5.32,16.47,0,0,0,0,0,0.7,0,0,2.2,0,0,5.66

Distance to: England_Anglo-Saxon_Teesside:NO3423
10.06967725 German_Frisian
12.04839408 Dutch_North
12.74552078 German_Schleswig-Holstein
12.76441538 Icelandic
12.83379133 German_Lower_Saxony_North
12.99888457 Norwegian
13.19992424 Faroese
13.37222868 Irish_Connacht
13.42222411 Danish
13.51896076 Scottish_Highlands
13.55359362 Scottish_East
13.64613865 Irish_Munster
13.74783983 Irish
13.85498827 German_Northwest
13.92523967 Swedish_2
14.08274476 British_Ulster
14.14706330 English_Yorkshire
14.21968354 Welsh
14.29809078 Dutch_Central
14.30752250 Dutch

Distance to: England_Roman_York_Gladiator:6DRIF-18
6.65127056 Irish_Connacht
6.70857660 Irish
6.74089015 Irish_Munster
6.85332036 Irish_Ulster
7.06177032 English_Southwest
7.12875866 Scottish_East
7.34682925 Welsh
7.39214448 Irish_Leinster
7.52989376 Scottish_Orkney
7.61297577 British_Ulster
7.68598074 Scottish_Southwest
7.97435891 Scottish
8.12116371 French_Brittany
8.27996377 Scottish_Highlands
8.51456987 English
8.57377396 English_Lancashire
8.59202537 English_Yorkshire
8.67914742 English_East
8.74373490 English_Southeast
8.99073968 English_West-Midlands

Distance to: England_Roman_York_Gladiator:6DRIF-21
11.07546387 Scottish_Highlands
11.42166800 Scottish
11.63545014 Icelandic
11.68007277 Scottish_East
11.87425787 Scottish_Southwest
11.87443893 Irish_Connacht
11.91770532 British_Ulster
11.98104336 Faroese
12.00952955 Welsh
12.15055966 Irish
12.30232092 Irish_Leinster
12.32530324 Irish_Munster
12.42690629 Scottish_Orkney
12.50759769 German_Westphalia
12.88336136 English_Yorkshire
12.91398467 Dutch
12.93487920 English_Northeast
13.01390026 German_Lower_Saxony_North
13.11251692 Irish_Ulster
13.11999619 Cornish

Distance to: England_Roman_York_Gladiator:6DRIF-23
10.71754636 French_Brittany
11.10464317 Irish_Ulster
11.70854816 Irish_Leinster
11.86491888 Cornish
12.01749142 English_Southwest
12.17671959 Irish_Connacht
12.19391652 Welsh
12.20671127 Scottish_Orkney
12.24937958 Irish_Munster
12.25148562 Irish
12.73679709 Scottish_Southwest
13.08970206 British_Ulster
13.23821363 French
13.29942480 Scottish
13.38134149 Scottish_East
13.58849145 French_Hauts-de-France
13.60576348 French_Normandy
13.61660384 English_Northeast
13.97842266 English_Lancashire
13.99862850 English

Distance to: England_Roman_York_Gladiator:6DRIF-22
10.21189502 German_Thuringia_Central
10.23548240 French_Brittany
10.44612368 French_Normandy
10.47701293 French_Hauts-de-France
10.82594107 German_Bavaria_proper
10.82813003 French
10.85861870 German_North_Bohemia
11.04920359 French_East
11.23256427 Afrikaner
11.61514529 Austrian_Burgenland
11.70495622 German_Hesse_South
11.73235697 German_South
11.99178886 Cornish
12.01022065 German_Bavaria_Lower/Middle_Franconia
12.06170801 English_Northeast
12.08815536 Dutch_South
12.14720544 French_Northeast
12.35515277 German_Bavaria_Oberpfalz
12.37394844 Swiss_German
12.44484231 Scottish_Orkney

Distance to: England_Roman_York_Gladiator:6DRIF-3
7.49665926 German_Westphalia
8.31920068 German_Lower_Saxony_North
8.64075228 German_Lower_Saxony_South
9.12460410 German_Northwest
9.41414361 Dutch_Central
9.80035203 Dutch_North
9.89620634 Dutch
10.35000483 Scottish_Highlands
10.66151959 Icelandic
10.67756527 Danish
10.84946542 English_Yorkshire
11.13974865 English_East-Midlands
11.14000898 Scottish_East
11.25927173 Scottish
11.25973357 German_Schleswig-Holstein
11.28163552 German_Frisian
11.37406699 English_East
11.46966870 English
11.50449477 English_West-Midlands
11.53622989 English_Lancashire

Distance to: England_Roman_York_Gladiator:3DRIF-16
8.11563922 German_Northwest
8.68685213 English_East-Midlands
8.80810990 German_Lower_Saxony_South
8.93380658 German_Westphalia
8.99823316 English_East
9.12394103 Dutch_Central
9.17612663 Dutch
9.23360168 English_West-Midlands
9.43018027 English_Yorkshire
9.50928494 English
9.58687123 English_Southeast
9.75306106 Flemish
9.89636802 Afrikaner
9.97052657 German_North_Rhine
9.98494867 German
10.02723790 Dutch_South
10.26026315 English_Lancashire
10.64205807 German_Schleswig-Holstein
10.72883032 English_Northeast
10.85845293 English_Southwest

Distance to: Germany_Lech_Valley_EBA:AITI_72
8.73089343 French_Central
9.37594795 Swiss_Italian
9.69773685 Italian_Aosta
9.78177387 Italian_North
10.10425158 Italian_Veneto
11.51441271 Austrian_Tyrol
11.60822984 German_Saarland
11.80610012 Swiss_German
11.98655914 Italian_Friuli
12.64863929 French_Provence
12.64976680 German_Hesse_South
12.78454536 French_Northeast
12.82571246 German_Baden-Württemberg
13.23185550 Walloon
13.46318684 German_South
13.84675413 Italian_Val_Borbera
13.84832120 Spanish_Penedes
13.90178046 Spanish_Baleares
13.90275512 Spanish_Peri-Barcelona
14.12889238 French

Distance to: Germany_Lech_Valley_EBA:AITI_43
8.09448578 French_Central
8.44446564 Spanish_Penedes
8.53402601 Spanish_Peri-Barcelona
9.85602739 French_Provence
9.95651545 Spanish_Lleida
9.96639353 Spanish_Barcelones
10.10970326 Spanish_Camp_de_Tarragona
10.23587319 Italian_Aosta
10.35272428 Spanish_Mallorca
10.40900091 Spanish_Alacant
10.57406733 Spanish_Baleares
10.71643131 Spanish_Catalunya_Central
10.75445954 Spanish_Pirineu
10.78524919 Spanish
10.97852449 Spanish_Girona
11.19163974 Portuguese_Azores
11.43823850 Portuguese
11.48828969 French
11.91561580 Italian_North
12.00430756 Swiss_Italian

Distance to: Germany_Lech_Valley_EBA:AITI_78
11.33618878 French_Provence
12.07627012 Spanish_Peri-Barcelona
12.08822568 Spanish_Catalunya_Central
12.13678293 Spanish_Barcelones
12.15170770 Spanish_Baleares
12.20941850 French
12.28534493 Spanish_Penedes
12.42103458 Portuguese_Azores
12.51968051 Spanish_Mallorca
12.64788125 Spanish_Lleida
12.70340899 Portuguese
12.75554389 Spanish
12.85685031 Spanish_Camp_de_Tarragona
13.04363446 Spanish_Eivissa
13.32893469 Spanish_Girona
13.36804399 French_Central
13.37877050 Spanish_Galicia
13.67941885 German_Bavaria_proper
13.84985921 Spanish_Terres_de_l'Ebre
13.95040501 Spanish_Alacant

Distance to: Germany_Lech_Valley_EBA:AITI_2
6.52147989 French
6.60973524 French_Normandy
6.90284724 French_Hauts-de-France
7.60066444 German_Hesse_South
7.80636919 French_East
7.82545206 French_Northeast
8.00617886 German_Rhineland-Palatinate
8.14187325 Swiss_German
8.37186359 German_Bavaria_proper
8.66451961 German_South
8.68131326 Afrikaner
8.71109637 French_Brittany
9.16780235 Dutch_South
9.40022872 Flemish
9.83665085 Walloon
9.98838325 German_Baden-Württemberg
10.36209438 French_Central
10.39303132 German_Saarland
10.59350745 German_Rhineland-Palatinate_East_of_Rhine
10.66251377 English_Southeast

Distance to: Germany_Lech_Valley_EBA:AITI_120
14.03437565 French
14.97726611 French_Hauts-de-France
15.12456942 French_East
15.13345301 French_Central
15.60619108 Spanish_Mallorca
15.64755892 German_Bavaria_proper
15.69547387 Spanish_Girona
15.74608840 Spanish_Peri-Barcelona
15.76746333 French_Northeast
15.77016728 French_Provence
15.86791417 Spanish_Penedes
15.87081913 German_Hesse_South
15.98137979 Portuguese_Azores
16.02815336 Spanish_Lleida
16.25337196 Swiss_German
16.26207859 Italian_Aosta
16.29418915 Spanish_Eivissa
16.49474462 Spanish_Alacant
16.53631458 Spanish_Pirineu
16.56269906 Spanish_Camp_de_Tarragona
05-26-2022, 11:08 PM
Russki

I will keep my Meta-Ethnicity

https://i.imgur.com/0GBlky5.png

Code:

HG_Villabruna_WHG,0,0,0,8.72,0,0,0,0,0,0,16.1,0,12.19,32.43,0,0,0,0,0,0,0,10.75,0,19.81,0,0,0,0,0,0,0,0,0,0,0,0
05-27-2022, 07:37 PM
Russki

Other relatively pure WHG

Code:

HG_Bichon_WHG,0,0,0,9.09,0,0,0,0,0,0,18.06,0,8.32,35.07,0,0,0,0,0,0,0,10.39,0,18.63,0,0.3,0,0.13,0,0,0,0,0,0,0,0

https://i.imgur.com/nhl0yEu.png

Code:

Great_Britain_Cheddarman_9000_YBP,0,0,0,8.81,0,0,0,0,0,0,17.68,0,9.69,36.88,0,0,0,0,0,0,0,7.78,0,19.15,0,0,0,0,0,0,0,0,0,0,0,0

https://i.imgur.com/xB7veln.png
05-28-2022, 12:18 PM
Voskos

Code:

Romanized_Dalmatian_Croatia_Novo_Selo,0,3.56,4.3,0 ,0,6.93,0,0,6.99,0,1.8,2.57,0,0.07,5.18,11.43,0,29 .17,0,12.57,0,1.99,5.73,0,0,0.16,0,0,0,0,0,0,0,0,3.02,4.52 urbinoR1556,0,3.74,4.81,0,0,0,0,0,8.47,0.23,0,17.05,0,0,9.76,3.67,0,22.83,0,15.12,1.75,1.53,0,0,0,0,0,0,0,0,0,0,0,0,0,11.04 slovakiatesmilnany,0.52,0,0,1.26,0,4.95,0,0,7.75,0,8.02,2.08,5.83,14.08,3.98,6.74,0,5.12,0,0,0,11.63,0.66,18.87,0,0,0,0,0,0,3.26,0,0,0,2.77,2.49

see lucas's thread

Edit: Already posted by Ajeje Brazdorf here:
https://www.theapricity.com/forum/sh...=1#post7506646
05-30-2022, 10:13 AM
Russki

Quote:

Originally Posted by Russki

Russians as a rule score very little Volga-Ural, but very high Fennoscandian.

Quote:

Originally Posted by Dušan

If that not came with Slavs on Balkans, I wonder how I got 4.36%.

Quote:

Originally Posted by Alenka

Could be from Cumans, Tatars, Avars, or Huns.

Sarmatian samples with up to 17% Volga-Ural

Code:

Sarmatian_tem002,4.18,0,0,0,0,8.55,0,0,0.97,0,6.99,0,5.42,5.61,5.33,0,0,0,0,0,0,5.01,17.39,11.6,0,0.78,0,0,3.79,0,17.26,0,17.12,0,0,0

https://i.imgur.com/r4gaYrT.png

https://upload.wikimedia.org/wikiped..._Scythians.png
05-30-2022, 10:41 AM
Dušan

...
06-11-2022, 12:20 AM
vbnetkhio

28 Belarusian academic results

Code:

./4461875511_R01C02.txt Admixture calculation models: K36 Calcuation is started... K36 Amerindian: 0.00% Arabian: 0.00% Armenian: 0.00% Basque: 0.65% Central African: 0.07% Central Euro: 6.06% East African: 0.00% East Asian: 0.00% East Balkan: 7.14% East Central Asian: 0.00% East Central Euro: 30.33% East Med: 0.00% Eastern Euro: 16.14% Fennoscandian: 14.70% French: 6.02% Iberian: 4.48% Indo-Chinese: 0.00% Italian: 0.00% Malayan: 0.00% Near Eastern: 0.00% North African: 0.00% North Atlantic: 5.86% North Caucasian: 0.00% North Sea: 5.32% Northeast African: 0.00% Oceanian: 0.00% Omotic: 0.00% Pygmy: 0.00% Siberian: 0.00% South Asian: 0.00% South Central Asian: 0.00% South Chinese: 0.00% Volga-Ural: 2.58% West African: 0.00% West Caucasian: 0.00% West Med: 0.66% ./4461875511_R02C02.txt Admixture calculation models: K36 Calcuation is started... K36 Amerindian: 0.21% Arabian: 0.00% Armenian: 0.00% Basque: 0.55% Central African: 0.00% Central Euro: 7.27% East African: 0.00% East Asian: 0.00% East Balkan: 5.75% East Central Asian: 0.00% East Central Euro: 29.98% East Med: 0.00% Eastern Euro: 17.53% Fennoscandian: 13.51% French: 4.03% Iberian: 2.60% Indo-Chinese: 0.00% Italian: 0.00% Malayan: 0.00% Near Eastern: 0.00% North African: 0.00% North Atlantic: 5.37% North Caucasian: 0.00% North Sea: 11.70% Northeast African: 0.00% Oceanian: 0.00% Omotic: 0.00% Pygmy: 0.00% Siberian: 0.00% South Asian: 0.00% South Central Asian: 0.00% South Chinese: 0.00% Volga-Ural: 1.49% West African: 0.00% West Caucasian: 0.00% West Med: 0.00% ./4461875516_R01C01.txt Admixture calculation models: K36 Calcuation is started... K36 Amerindian: 0.00% Arabian: 0.00% Armenian: 0.00% Basque: 0.78% Central African: 0.00% Central Euro: 6.12% East African: 0.00% East Asian: 0.00% East Balkan: 8.08% East Central Asian: 0.00% East Central Euro: 24.71% East Med: 0.00% Eastern Euro: 19.96% Fennoscandian: 15.01% French: 3.88% Iberian: 10.54% Indo-Chinese: 0.00% Italian: 0.00% Malayan: 0.00% Near Eastern: 0.00% North African: 0.00% North Atlantic: 3.48% North Caucasian: 0.00% North Sea: 6.13% Northeast African: 0.00% Oceanian: 0.00% Omotic: 0.00% Pygmy: 0.00% Siberian: 0.00% South Asian: 0.00% South Central Asian: 0.00% South Chinese: 0.00% Volga-Ural: 1.31% West African: 0.00% West Caucasian: 0.00% West Med: 0.00% ./4461875516_R01C02.txt Admixture calculation models: K36 Calcuation is started... K36 Amerindian: 0.00% Arabian: 0.64% Armenian: 0.00% Basque: 0.98% Central African: 0.00% Central Euro: 11.26% East African: 0.00% East Asian: 0.00% East Balkan: 9.22% East Central Asian: 0.00% East Central Euro: 29.20% East Med: 0.00% Eastern Euro: 25.23% Fennoscandian: 5.77% French: 3.05% Iberian: 2.66% Indo-Chinese: 0.00% Italian: 0.00% Malayan: 0.00% Near Eastern: 0.00% North African: 0.00% North Atlantic: 3.36% North Caucasian: 0.41% North Sea: 8.07% Northeast African: 0.00% Oceanian: 0.05% Omotic: 0.00% Pygmy: 0.00% Siberian: 0.00% South Asian: 0.00% South Central Asian: 0.00% South Chinese: 0.00% Volga-Ural: 0.00% West African: 0.00% West Caucasian: 0.00% West Med: 0.11% ./4461875516_R02C01.txt Admixture calculation models: K36 Calcuation is started... K36 Amerindian: 0.00% Arabian: 0.64% Armenian: 0.00% Basque: 0.00% Central African: 0.00% Central Euro: 8.61% East African: 0.00% East Asian: 0.00% East Balkan: 7.58% East Central Asian: 0.00% East Central Euro: 26.71% East Med: 0.00% Eastern Euro: 20.32% Fennoscandian: 11.44% French: 2.85% Iberian: 6.68% Indo-Chinese: 0.00% Italian: 2.10% Malayan: 0.00% Near Eastern: 0.00% North African: 0.00% North Atlantic: 2.16% North Caucasian: 0.00% North Sea: 7.92% Northeast African: 0.00% Oceanian: 0.00% Omotic: 0.00% Pygmy: 0.00% Siberian: 0.00% South Asian: 0.00% South Central Asian: 0.00% South Chinese: 0.00% Volga-Ural: 3.00% West African: 0.00% West Caucasian: 0.00% West Med: 0.00% ./4461875516_R02C02.txt Admixture calculation models: K36 Calcuation is started... K36 Amerindian: 0.00% Arabian: 0.00% Armenian: 0.00% Basque: 1.85% Central African: 0.00% Central Euro: 7.56% East African: 0.00% East Asian: 0.00% East Balkan: 5.50% East Central Asian: 0.00% East Central Euro: 29.01% East Med: 0.00% Eastern Euro: 18.18% Fennoscandian: 13.44% French: 3.19% Iberian: 3.53% Indo-Chinese: 0.00% Italian: 0.00% Malayan: 0.00% Near Eastern: 0.00% North African: 0.00% North Atlantic: 5.04% North Caucasian: 0.00% North Sea: 9.94% Northeast African: 0.00% Oceanian: 0.00% Omotic: 0.00% Pygmy: 0.00% Siberian: 0.00% South Asian: 0.00% South Central Asian: 0.00% South Chinese: 0.00% Volga-Ural: 2.75% West African: 0.00% West Caucasian: 0.00% West Med: 0.00% ./4461875520_R01C01.txt Admixture calculation models: K36 Calcuation is started... K36 Amerindian: 0.14% Arabian: 0.00% Armenian: 0.00% Basque: 0.00% Central African: 0.00% Central Euro: 12.27% East African: 0.00% East Asian: 0.00% East Balkan: 11.65% East Central Asian: 0.00% East Central Euro: 27.33% East Med: 0.00% Eastern Euro: 18.41% Fennoscandian: 10.06% French: 2.42% Iberian: 3.57% Indo-Chinese: 0.00% Italian: 0.00% Malayan: 0.00% Near Eastern: 0.00% North African: 0.00% North Atlantic: 7.19% North Caucasian: 0.00% North Sea: 3.43% Northeast African: 0.00% Oceanian: 0.00% Omotic: 0.00% Pygmy: 0.00% Siberian: 0.00% South Asian: 0.00% South Central Asian: 0.00% South Chinese: 0.00% Volga-Ural: 3.53% West African: 0.00% West Caucasian: 0.00% West Med: 0.00% ./4461875520_R01C02.txt Admixture calculation models: K36 Calcuation is started... K36 Amerindian: 0.00% Arabian: 0.00% Armenian: 0.00% Basque: 0.31% Central African: 0.00% Central Euro: 10.82% East African: 0.00% East Asian: 0.00% East Balkan: 9.12% East Central Asian: 0.00% East Central Euro: 29.70% East Med: 0.00% Eastern Euro: 16.24% Fennoscandian: 15.00% French: 4.29% Iberian: 0.00% Indo-Chinese: 0.00% Italian: 0.71% Malayan: 0.00% Near Eastern: 0.00% North African: 0.00% North Atlantic: 5.46% North Caucasian: 0.00% North Sea: 7.44% Northeast African: 0.00% Oceanian: 0.00% Omotic: 0.00% Pygmy: 0.00% Siberian: 0.00% South Asian: 0.00% South Central Asian: 0.73% South Chinese: 0.00% Volga-Ural: 0.18% West African: 0.00% West Caucasian: 0.00% West Med: 0.00% ./4461875520_R02C01.txt Admixture calculation models: K36 Calcuation is started... K36 Amerindian: 0.00% Arabian: 0.00% Armenian: 0.00% Basque: 1.78% Central African: 0.00% Central Euro: 8.05% East African: 0.00% East Asian: 0.00% East Balkan: 8.65% East Central Asian: 0.00% East Central Euro: 30.38% East Med: 0.00% Eastern Euro: 18.24% Fennoscandian: 13.32% French: 5.44% Iberian: 1.03% Indo-Chinese: 0.00% Italian: 2.55% Malayan: 0.00% Near Eastern: 0.00% North African: 0.00% North Atlantic: 2.93% North Caucasian: 0.00% North Sea: 5.21% Northeast African: 0.00% Oceanian: 0.00% Omotic: 0.00% Pygmy: 0.00% Siberian: 0.07% South Asian: 0.29% South Central Asian: 0.00% South Chinese: 0.00% Volga-Ural: 0.42% West African: 0.00% West Caucasian: 1.64% West Med: 0.00% ./4461875520_R02C02.txt Admixture calculation models: K36 Calcuation is started... K36 Amerindian: 0.00% Arabian: 0.00% Armenian: 0.00% Basque: 2.46% Central African: 0.00% Central Euro: 5.10% East African: 0.00% East Asian: 0.00% East Balkan: 4.07% East Central Asian: 0.00% East Central Euro: 19.91% East Med: 2.18% Eastern Euro: 16.78% Fennoscandian: 12.74% French: 1.13% Iberian: 4.83% Indo-Chinese: 0.00% Italian: 10.81% Malayan: 0.00% Near Eastern: 5.29% North African: 0.00% North Atlantic: 3.32% North Caucasian: 2.80% North Sea: 2.08% Northeast African: 0.00% Oceanian: 0.00% Omotic: 0.00% Pygmy: 0.00% Siberian: 0.00% South Asian: 0.00% South Central Asian: 0.00% South Chinese: 0.00% Volga-Ural: 2.15% West African: 0.00% West Caucasian: 0.00% West Med: 4.37% ./4461875521_R01C01.txt Admixture calculation models: K36 Calcuation is started... K36 Amerindian: 0.16% Arabian: 0.00% Armenian: 0.00% Basque: 2.78% Central African: 0.00% Central Euro: 4.91% East African: 0.00% East Asian: 0.00% East Balkan: 9.11% East Central Asian: 0.00% East Central Euro: 24.24% East Med: 0.00% Eastern Euro: 14.05% Fennoscandian: 18.93% French: 3.67% Iberian: 6.56% Indo-Chinese: 0.00% Italian: 1.83% Malayan: 0.00% Near Eastern: 0.00% North African: 0.00% North Atlantic: 2.48% North Caucasian: 2.57% North Sea: 5.62% Northeast African: 0.00% Oceanian: 0.00% Omotic: 0.00% Pygmy: 0.00% Siberian: 0.00% South Asian: 0.00% South Central Asian: 0.00% South Chinese: 0.00% Volga-Ural: 3.10% West African: 0.00% West Caucasian: 0.00% West Med: 0.00% ./4461875521_R01C02.txt Admixture calculation models: K36 Calcuation is started... K36 Amerindian: 0.00% Arabian: 0.00% Armenian: 0.00% Basque: 2.06% Central African: 0.00% Central Euro: 9.50% East African: 0.00% East Asian: 0.00% East Balkan: 2.80% East Central Asian: 0.00% East Central Euro: 26.61% East Med: 0.00% Eastern Euro: 22.05% Fennoscandian: 12.98% French: 3.07% Iberian: 3.68% Indo-Chinese: 0.00% Italian: 0.00% Malayan: 0.00% Near Eastern: 0.00% North African: 0.00% North Atlantic: 5.24% North Caucasian: 1.34% North Sea: 9.79% Northeast African: 0.00% Oceanian: 0.00% Omotic: 0.00% Pygmy: 0.00% Siberian: 0.00% South Asian: 0.00% South Central Asian: 0.00% South Chinese: 0.00% Volga-Ural: 0.88% West African: 0.00% West Caucasian: 0.00% West Med: 0.00% ./4461875521_R02C01.txt Admixture calculation models: K36 Calcuation is started... K36 Amerindian: 0.00% Arabian: 0.00% Armenian: 0.00% Basque: 0.00% Central African: 0.00% Central Euro: 11.44% East African: 0.00% East Asian: 0.00% East Balkan: 12.09% East Central Asian: 0.00% East Central Euro: 21.85% East Med: 0.00% Eastern Euro: 19.49% Fennoscandian: 13.51% French: 0.54% Iberian: 10.47% Indo-Chinese: 0.00% Italian: 0.92% Malayan: 0.00% Near Eastern: 0.00% North African: 0.01% North Atlantic: 0.57% North Caucasian: 0.01% North Sea: 9.09% Northeast African: 0.00% Oceanian: 0.00% Omotic: 0.00% Pygmy: 0.00% Siberian: 0.00% South Asian: 0.00% South Central Asian: 0.00% South Chinese: 0.00% Volga-Ural: 0.00% West African: 0.01% West Caucasian: 0.00% West Med: 0.18% ./4461875521_R02C02.txt Admixture calculation models: K36 Calcuation is started... K36 Amerindian: 0.00% Arabian: 0.00% Armenian: 0.00% Basque: 3.12% Central African: 0.00% Central Euro: 4.66% East African: 0.00% East Asian: 0.00% East Balkan: 8.82% East Central Asian: 0.00% East Central Euro: 22.54% East Med: 0.00% Eastern Euro: 17.84% Fennoscandian: 18.58% French: 5.03% Iberian: 8.15% Indo-Chinese: 0.00% Italian: 1.41% Malayan: 0.00% Near Eastern: 0.00% North African: 0.00% North Atlantic: 0.91% North Caucasian: 0.00% North Sea: 6.92% Northeast African: 0.00% Oceanian: 0.00% Omotic: 0.00% Pygmy: 0.00% Siberian: 0.00% South Asian: 0.00% South Central Asian: 0.00% South Chinese: 0.00% Volga-Ural: 2.03% West African: 0.00% West Caucasian: 0.00% West Med: 0.00% ./4461875522_R01C01.txt Admixture calculation models: K36 Calcuation is started... K36 Amerindian: 0.00% Arabian: 0.00% Armenian: 0.00% Basque: 3.20% Central African: 0.00% Central Euro: 6.07% East African: 0.00% East Asian: 0.00% East Balkan: 4.58% East Central Asian: 0.00% East Central Euro: 29.52% East Med: 0.00% Eastern Euro: 20.90% Fennoscandian: 13.04% French: 4.67% Iberian: 0.00% Indo-Chinese: 0.00% Italian: 0.00% Malayan: 0.00% Near Eastern: 0.00% North African: 0.00% North Atlantic: 5.12% North Caucasian: 0.00% North Sea: 9.19% Northeast African: 0.00% Oceanian: 0.00% Omotic: 0.00% Pygmy: 0.00% Siberian: 0.00% South Asian: 0.00% South Central Asian: 0.00% South Chinese: 0.00% Volga-Ural: 2.76% West African: 0.00% West Caucasian: 0.00% West Med: 0.95% ./4461875522_R01C02.txt Admixture calculation models: K36 Calcuation is started... K36 Amerindian: 0.57% Arabian: 0.00% Armenian: 0.00% Basque: 0.11% Central African: 0.00% Central Euro: 12.89% East African: 0.00% East Asian: 0.00% East Balkan: 5.94% East Central Asian: 0.00% East Central Euro: 24.36% East Med: 0.00% Eastern Euro: 17.16% Fennoscandian: 13.81% French: 4.46% Iberian: 0.24% Indo-Chinese: 0.00% Italian: 3.76% Malayan: 0.00% Near Eastern: 0.00% North African: 0.00% North Atlantic: 6.04% North Caucasian: 1.31% North Sea: 6.53% Northeast African: 0.00% Oceanian: 0.00% Omotic: 0.00% Pygmy: 0.00% Siberian: 0.00% South Asian: 0.00% South Central Asian: 0.00% South Chinese: 0.00% Volga-Ural: 1.78% West African: 0.00% West Caucasian: 1.04% West Med: 0.00% ./4461875522_R02C01.txt Admixture calculation models: K36 Calcuation is started... K36 Amerindian: 0.00% Arabian: 0.00% Armenian: 0.00% Basque: 0.53% Central African: 0.00% Central Euro: 11.04% East African: 0.00% East Asian: 0.00% East Balkan: 4.57% East Central Asian: 0.00% East Central Euro: 28.59% East Med: 0.00% Eastern Euro: 17.04% Fennoscandian: 13.71% French: 2.19% Iberian: 1.83% Indo-Chinese: 0.00% Italian: 1.74% Malayan: 0.00% Near Eastern: 0.00% North African: 0.00% North Atlantic: 9.15% North Caucasian: 0.01% North Sea: 6.12% Northeast African: 0.00% Oceanian: 0.22% Omotic: 0.00% Pygmy: 0.00% Siberian: 0.00% South Asian: 0.00% South Central Asian: 0.00% South Chinese: 0.00% Volga-Ural: 1.79% West African: 0.00% West Caucasian: 1.49% West Med: 0.00% ./4461875522_R02C02.txt Admixture calculation models: K36 Calcuation is started... K36 Amerindian: 0.00% Arabian: 0.00% Armenian: 0.00% Basque: 2.64% Central African: 0.00% Central Euro: 5.09% East African: 0.00% East Asian: 0.00% East Balkan: 8.78% East Central Asian: 0.00% East Central Euro: 28.60% East Med: 0.00% Eastern Euro: 15.56% Fennoscandian: 16.97% French: 3.73% Iberian: 0.00% Indo-Chinese: 0.00% Italian: 0.00% Malayan: 0.00% Near Eastern: 0.00% North African: 0.00% North Atlantic: 8.81% North Caucasian: 0.00% North Sea: 6.67% Northeast African: 0.00% Oceanian: 0.00% Omotic: 0.00% Pygmy: 0.00% Siberian: 0.00% South Asian: 0.00% South Central Asian: 0.00% South Chinese: 0.00% Volga-Ural: 3.15% West African: 0.00% West Caucasian: 0.00% West Med: 0.00% ./4461875526_R01C01.txt Admixture calculation models: K36 Calcuation is started... K36 Amerindian: 0.00% Arabian: 0.00% Armenian: 0.00% Basque: 3.70% Central African: 0.00% Central Euro: 6.97% East African: 0.00% East Asian: 0.00% East Balkan: 6.58% East Central Asian: 0.00% East Central Euro: 24.99% East Med: 0.00% Eastern Euro: 22.17% Fennoscandian: 13.29% French: 4.05% Iberian: 3.63% Indo-Chinese: 0.00% Italian: 6.67% Malayan: 0.00% Near Eastern: 0.00% North African: 0.00% North Atlantic: 0.00% North Caucasian: 0.06% North Sea: 3.64% Northeast African: 0.00% Oceanian: 0.00% Omotic: 0.00% Pygmy: 0.00% Siberian: 0.00% South Asian: 0.00% South Central Asian: 0.00% South Chinese: 0.00% Volga-Ural: 3.48% West African: 0.00% West Caucasian: 0.40% West Med: 0.38% ./4461875526_R01C02.txt Admixture calculation models: K36 Calcuation is started... K36 Amerindian: 0.00% Arabian: 0.00% Armenian: 0.07% Basque: 2.07% Central African: 0.00% Central Euro: 8.34% East African: 0.00% East Asian: 0.00% East Balkan: 9.49% East Central Asian: 0.00% East Central Euro: 27.78% East Med: 0.00% Eastern Euro: 15.41% Fennoscandian: 13.23% French: 1.89% Iberian: 0.47% Indo-Chinese: 0.00% Italian: 0.00% Malayan: 0.00% Near Eastern: 0.00% North African: 0.00% North Atlantic: 6.15% North Caucasian: 3.90% North Sea: 8.66% Northeast African: 0.00% Oceanian: 0.00% Omotic: 0.00% Pygmy: 0.00% Siberian: 0.00% South Asian: 0.00% South Central Asian: 0.00% South Chinese: 0.00% Volga-Ural: 2.54% West African: 0.00% West Caucasian: 0.00% West Med: 0.00% ./4461875526_R02C01.txt Admixture calculation models: K36 Calcuation is started... K36 Amerindian: 0.00% Arabian: 0.00% Armenian: 0.00% Basque: 4.11% Central African: 0.00% Central Euro: 8.79% East African: 0.00% East Asian: 0.00% East Balkan: 4.95% East Central Asian: 0.00% East Central Euro: 28.19% East Med: 0.00% Eastern Euro: 21.75% Fennoscandian: 7.47% French: 5.50% Iberian: 2.87% Indo-Chinese: 0.00% Italian: 0.00% Malayan: 0.00% Near Eastern: 0.00% North African: 0.00% North Atlantic: 7.62% North Caucasian: 0.25% North Sea: 5.44% Northeast African: 0.00% Oceanian: 0.51% Omotic: 0.00% Pygmy: 0.00% Siberian: 0.00% South Asian: 0.00% South Central Asian: 0.00% South Chinese: 0.00% Volga-Ural: 2.56% West African: 0.00% West Caucasian: 0.00% West Med: 0.00% ./4461875526_R02C02.txt Admixture calculation models: K36 Calcuation is started... K36 Amerindian: 0.77% Arabian: 0.00% Armenian: 0.00% Basque: 0.81% Central African: 0.00% Central Euro: 7.55% East African: 0.00% East Asian: 0.00% East Balkan: 5.72% East Central Asian: 0.00% East Central Euro: 26.29% East Med: 0.00% Eastern Euro: 20.73% Fennoscandian: 18.78% French: 6.29% Iberian: 2.61% Indo-Chinese: 0.00% Italian: 0.68% Malayan: 0.00% Near Eastern: 0.00% North African: 0.00% North Atlantic: 5.91% North Caucasian: 0.00% North Sea: 2.44% Northeast African: 0.00% Oceanian: 0.00% Omotic: 0.00% Pygmy: 0.00% Siberian: 0.00% South Asian: 0.00% South Central Asian: 0.00% South Chinese: 0.00% Volga-Ural: 1.43% West African: 0.00% West Caucasian: 0.00% West Med: 0.00% ./4461875527_R01C01.txt Admixture calculation models: K36 Calcuation is started... K36 Amerindian: 0.00% Arabian: 0.00% Armenian: 0.00% Basque: 0.21% Central African: 0.35% Central Euro: 7.31% East African: 0.00% East Asian: 0.00% East Balkan: 4.16% East Central Asian: 0.00% East Central Euro: 24.52% East Med: 0.00% Eastern Euro: 20.86% Fennoscandian: 7.83% French: 0.80% Iberian: 5.65% Indo-Chinese: 0.00% Italian: 3.23% Malayan: 0.00% Near Eastern: 0.00% North African: 0.00% North Atlantic: 8.63% North Caucasian: 1.01% North Sea: 10.47% Northeast African: 0.00% Oceanian: 0.00% Omotic: 0.00% Pygmy: 0.00% Siberian: 0.00% South Asian: 0.00% South Central Asian: 0.00% South Chinese: 0.00% Volga-Ural: 2.94% West African: 0.00% West Caucasian: 2.04% West Med: 0.00% ./4461875527_R01C02.txt Admixture calculation models: K36 Calcuation is started... K36 Amerindian: 0.02% Arabian: 0.00% Armenian: 0.00% Basque: 0.10% Central African: 0.00% Central Euro: 8.53% East African: 0.00% East Asian: 0.00% East Balkan: 3.49% East Central Asian: 0.00% East Central Euro: 14.12% East Med: 7.14% Eastern Euro: 15.36% Fennoscandian: 5.12% French: 2.73% Iberian: 10.62% Indo-Chinese: 0.00% Italian: 6.78% Malayan: 0.00% Near Eastern: 0.00% North African: 0.00% North Atlantic: 2.26% North Caucasian: 9.11% North Sea: 8.11% Northeast African: 0.50% Oceanian: 0.00% Omotic: 0.00% Pygmy: 0.00% Siberian: 0.66% South Asian: 0.26% South Central Asian: 0.00% South Chinese: 0.00% Volga-Ural: 2.58% West African: 0.00% West Caucasian: 2.51% West Med: 0.00% ./4461875527_R02C01.txt Admixture calculation models: K36 Calcuation is started... K36 Amerindian: 0.00% Arabian: 0.00% Armenian: 0.00% Basque: 1.52% Central African: 0.00% Central Euro: 3.40% East African: 0.00% East Asian: 0.00% East Balkan: 2.91% East Central Asian: 0.00% East Central Euro: 28.81% East Med: 0.00% Eastern Euro: 21.38% Fennoscandian: 8.24% French: 0.12% Iberian: 1.68% Indo-Chinese: 0.00% Italian: 2.07% Malayan: 0.00% Near Eastern: 0.00% North African: 0.00% North Atlantic: 13.31% North Caucasian: 0.00% North Sea: 14.32% Northeast African: 0.00% Oceanian: 0.00% Omotic: 0.00% Pygmy: 0.00% Siberian: 0.00% South Asian: 0.00% South Central Asian: 0.00% South Chinese: 0.00% Volga-Ural: 2.22% West African: 0.00% West Caucasian: 0.00% West Med: 0.00% ./4461875527_R02C02.txt Admixture calculation models: K36 Calcuation is started... K36 Amerindian: 0.00% Arabian: 0.00% Armenian: 0.00% Basque: 0.73% Central African: 0.00% Central Euro: 5.26% East African: 0.00% East Asian: 0.00% East Balkan: 9.80% East Central Asian: 0.00% East Central Euro: 30.28% East Med: 0.00% Eastern Euro: 18.10% Fennoscandian: 11.26% French: 5.95% Iberian: 0.00% Indo-Chinese: 0.00% Italian: 1.85% Malayan: 0.00% Near Eastern: 0.00% North African: 0.00% North Atlantic: 7.42% North Caucasian: 0.00% North Sea: 7.28% Northeast African: 0.00% Oceanian: 0.00% Omotic: 0.20% Pygmy: 0.00% Siberian: 0.00% South Asian: 0.00% South Central Asian: 0.00% South Chinese: 0.00% Volga-Ural: 0.00% West African: 0.00% West Caucasian: 0.00% West Med: 1.87% ./4461875536_R01C01.txt Admixture calculation models: K36 Calcuation is started... K36 Amerindian: 0.00% Arabian: 0.00% Armenian: 0.00% Basque: 2.20% Central African: 0.00% Central Euro: 7.01% East African: 0.00% East Asian: 0.00% East Balkan: 9.31% East Central Asian: 0.00% East Central Euro: 25.86% East Med: 0.00% Eastern Euro: 22.14% Fennoscandian: 10.49% French: 4.60% Iberian: 8.27% Indo-Chinese: 0.00% Italian: 0.00% Malayan: 0.00% Near Eastern: 0.00% North African: 0.00% North Atlantic: 0.00% North Caucasian: 1.68% North Sea: 5.25% Northeast African: 0.00% Oceanian: 0.00% Omotic: 0.00% Pygmy: 0.00% Siberian: 0.00% South Asian: 0.00% South Central Asian: 0.00% South Chinese: 0.00% Volga-Ural: 2.44% West African: 0.00% West Caucasian: 0.00% West Med: 0.75% ./4461875536_R01C02.txt Admixture calculation models: K36 Calcuation is started... K36 Amerindian: 0.00% Arabian: 0.00% Armenian: 0.00% Basque: 0.00% Central African: 0.00% Central Euro: 9.33% East African: 0.00% East Asian: 0.00% East Balkan: 8.43% East Central Asian: 0.00% East Central Euro: 23.53% East Med: 0.00% Eastern Euro: 19.23% Fennoscandian: 14.75% French: 1.15% Iberian: 2.74% Indo-Chinese: 0.00% Italian: 9.19% Malayan: 0.00% Near Eastern: 0.00% North African: 0.00% North Atlantic: 3.46% North Caucasian: 0.10% North Sea: 6.42% Northeast African: 0.00% Oceanian: 0.00% Omotic: 0.00% Pygmy: 0.56% Siberian: 0.00% South Asian: 0.00% South Central Asian: 0.00% South Chinese: 0.00% Volga-Ural: 1.11% West African: 0.00% West Caucasian: 0.00% West Med: 0.00%
06-11-2022, 11:57 AM
vbnetkhio

Vahaduo format:

Code:

Belarusian_11_R01C02,0.00,0.00,0.00,0.65,0.07,6.06,0.00,0.00,7.14,0.00,30.33,0.00,16.14,14.70,6.02,4.48,0.00,0.00,0.00,0.00,0.00,5.86,0.00,5.32,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,2.58,0.00,0.00,0.66 Belarusian_11_R02C02,0.21,0.00,0.00,0.55,0.00,7.27,0.00,0.00,5.75,0.00,29.98,0.00,17.53,13.51,4.03,2.60,0.00,0.00,0.00,0.00,0.00,5.37,0.00,11.70,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,1.49,0.00,0.00,0.00 Belarusian_16_R01C01,0.00,0.00,0.00,0.78,0.00,6.12,0.00,0.00,8.08,0.00,24.71,0.00,19.96,15.01,3.88,10.54,0.00,0.00,0.00,0.00,0.00,3.48,0.00,6.13,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,1.31,0.00,0.00,0.00 Belarusian_16_R01C02,0.00,0.64,0.00,0.98,0.00,11.26,0.00,0.00,9.22,0.00,29.20,0.00,25.23,5.77,3.05,2.66,0.00,0.00,0.00,0.00,0.00,3.36,0.41,8.07,0.00,0.05,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.11 Belarusian_16_R02C01,0.00,0.64,0.00,0.00,0.00,8.61,0.00,0.00,7.58,0.00,26.71,0.00,20.32,11.44,2.85,6.68,0.00,2.10,0.00,0.00,0.00,2.16,0.00,7.92,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,3.00,0.00,0.00,0.00 Belarusian_16_R02C02,0.00,0.00,0.00,1.85,0.00,7.56,0.00,0.00,5.50,0.00,29.01,0.00,18.18,13.44,3.19,3.53,0.00,0.00,0.00,0.00,0.00,5.04,0.00,9.94,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,2.75,0.00,0.00,0.00 Belarusian_20_R01C01,0.14,0.00,0.00,0.00,0.00,12.27,0.00,0.00,11.65,0.00,27.33,0.00,18.41,10.06,2.42,3.57,0.00,0.00,0.00,0.00,0.00,7.19,0.00,3.43,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,3.53,0.00,0.00,0.00 Belarusian_20_R01C02,0.00,0.00,0.00,0.31,0.00,10.82,0.00,0.00,9.12,0.00,29.70,0.00,16.24,15.00,4.29,0.00,0.00,0.71,0.00,0.00,0.00,5.46,0.00,7.44,0.00,0.00,0.00,0.00,0.00,0.00,0.73,0.00,0.18,0.00,0.00,0.00 Belarusian_20_R02C01,0.00,0.00,0.00,1.78,0.00,8.05,0.00,0.00,8.65,0.00,30.38,0.00,18.24,13.32,5.44,1.03,0.00,2.55,0.00,0.00,0.00,2.93,0.00,5.21,0.00,0.00,0.00,0.00,0.07,0.29,0.00,0.00,0.42,0.00,1.64,0.00 Belarusian_20_R02C02,0.00,0.00,0.00,2.46,0.00,5.10,0.00,0.00,4.07,0.00,19.91,2.18,16.78,12.74,1.13,4.83,0.00,10.81,0.00,5.29,0.00,3.32,2.80,2.08,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,2.15,0.00,0.00,4.37 Belarusian_21_R01C01,0.16,0.00,0.00,2.78,0.00,4.91,0.00,0.00,9.11,0.00,24.24,0.00,14.05,18.93,3.67,6.56,0.00,1.83,0.00,0.00,0.00,2.48,2.57,5.62,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,3.10,0.00,0.00,0.00 Belarusian_21_R01C02,0.00,0.00,0.00,2.06,0.00,9.50,0.00,0.00,2.80,0.00,26.61,0.00,22.05,12.98,3.07,3.68,0.00,0.00,0.00,0.00,0.00,5.24,1.34,9.79,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.88,0.00,0.00,0.00 Belarusian_21_R02C01,0.00,0.00,0.00,0.00,0.00,11.44,0.00,0.00,12.09,0.00,21.85,0.00,19.49,13.51,0.54,10.47,0.00,0.92,0.00,0.00,0.01,0.57,0.01,9.09,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.01,0.00,0.18 Belarusian_21_R02C02,0.00,0.00,0.00,3.12,0.00,4.66,0.00,0.00,8.82,0.00,22.54,0.00,17.84,18.58,5.03,8.15,0.00,1.41,0.00,0.00,0.00,0.91,0.00,6.92,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,2.03,0.00,0.00,0.00 Belarusian_22_R01C01,0.00,0.00,0.00,3.20,0.00,6.07,0.00,0.00,4.58,0.00,29.52,0.00,20.90,13.04,4.67,0.00,0.00,0.00,0.00,0.00,0.00,5.12,0.00,9.19,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,2.76,0.00,0.00,0.95 Belarusian_22_R01C02,0.57,0.00,0.00,0.11,0.00,12.89,0.00,0.00,5.94,0.00,24.36,0.00,17.16,13.81,4.46,0.24,0.00,3.76,0.00,0.00,0.00,6.04,1.31,6.53,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,1.78,0.00,1.04,0.00 Belarusian_22_R02C01,0.00,0.00,0.00,0.53,0.00,11.04,0.00,0.00,4.57,0.00,28.59,0.00,17.04,13.71,2.19,1.83,0.00,1.74,0.00,0.00,0.00,9.15,0.01,6.12,0.00,0.22,0.00,0.00,0.00,0.00,0.00,0.00,1.79,0.00,1.49,0.00 Belarusian_22_R02C02,0.00,0.00,0.00,2.64,0.00,5.09,0.00,0.00,8.78,0.00,28.60,0.00,15.56,16.97,3.73,0.00,0.00,0.00,0.00,0.00,0.00,8.81,0.00,6.67,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,3.15,0.00,0.00,0.00 Belarusian_26_R01C01,0.00,0.00,0.00,3.70,0.00,6.97,0.00,0.00,6.58,0.00,24.99,0.00,22.17,13.29,4.05,3.63,0.00,6.67,0.00,0.00,0.00,0.00,0.06,3.64,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,3.48,0.00,0.40,0.38 Belarusian_26_R01C02,0.00,0.00,0.07,2.07,0.00,8.34,0.00,0.00,9.49,0.00,27.78,0.00,15.41,13.23,1.89,0.47,0.00,0.00,0.00,0.00,0.00,6.15,3.90,8.66,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,2.54,0.00,0.00,0.00 Belarusian_26_R02C01,0.00,0.00,0.00,4.11,0.00,8.79,0.00,0.00,4.95,0.00,28.19,0.00,21.75,7.47,5.50,2.87,0.00,0.00,0.00,0.00,0.00,7.62,0.25,5.44,0.00,0.51,0.00,0.00,0.00,0.00,0.00,0.00,2.56,0.00,0.00,0.00 Belarusian_26_R02C02,0.77,0.00,0.00,0.81,0.00,7.55,0.00,0.00,5.72,0.00,26.29,0.00,20.73,18.78,6.29,2.61,0.00,0.68,0.00,0.00,0.00,5.91,0.00,2.44,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,1.43,0.00,0.00,0.00 Belarusian_27_R01C01,0.00,0.00,0.00,0.21,0.35,7.31,0.00,0.00,4.16,0.00,24.52,0.00,20.86,7.83,0.80,5.65,0.00,3.23,0.00,0.00,0.00,8.63,1.01,10.47,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,2.94,0.00,2.04,0.00 Belarusian_27_R01C02,0.02,0.00,0.00,0.10,0.00,8.53,0.00,0.00,3.49,0.00,14.12,7.14,15.36,5.12,2.73,10.62,0.00,6.78,0.00,0.00,0.00,2.26,9.11,8.11,0.50,0.00,0.00,0.00,0.66,0.26,0.00,0.00,2.58,0.00,2.51,0.00 Belarusian_27_R02C01,0.00,0.00,0.00,1.52,0.00,3.40,0.00,0.00,2.91,0.00,28.81,0.00,21.38,8.24,0.12,1.68,0.00,2.07,0.00,0.00,0.00,13.31,0.00,14.32,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,2.22,0.00,0.00,0.00 Belarusian_27_R02C02,0.00,0.00,0.00,0.73,0.00,5.26,0.00,0.00,9.80,0.00,30.28,0.00,18.10,11.26,5.95,0.00,0.00,1.85,0.00,0.00,0.00,7.42,0.00,7.28,0.00,0.00,0.20,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,1.87 Belarusian_36_R01C01,0.00,0.00,0.00,2.20,0.00,7.01,0.00,0.00,9.31,0.00,25.86,0.00,22.14,10.49,4.60,8.27,0.00,0.00,0.00,0.00,0.00,0.00,1.68,5.25,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,2.44,0.00,0.00,0.75 Belarusian_36_R01C02,0.00,0.00,0.00,0.00,0.00,9.33,0.00,0.00,8.43,0.00,23.53,0.00,19.23,14.75,1.15,2.74,0.00,9.19,0.00,0.00,0.00,3.46,0.10,6.42,0.00,0.00,0.00,0.56,0.00,0.00,0.00,0.00,1.11,0.00,0.00,0.00 Belarusian_avg,0.07,0.05,0.00,1.40,0.02,7.90,0.00,0.00,7.08,0.00,26.36,0.33,18.87,12.75,3.46,3.91,0.00,2.01,0.00,0.19,0.00,4.90,0.88,7.11,0.02,0.03,0.01,0.02,0.03,0.02,0.03,0.00,1.94,0.00,0.33,0.33
06-13-2022, 05:23 PM
Russki

Belarusian updated.

Code:

Belarusian,0.05,0.05,0.00,1.35,0.02,8.08,0.00,0.00,7.32,0.00,26.64,0.09,18.99,12.63,3.31,4.01,0.00,2.04,0.00,0.22,0.00,4.80,0.64,7.20,0.00,0.03,0.01,0.02,0.00,0.01,0.03,0.00,1.85,0.00,0.28,0.35

https://sun9-6.userapi.com/s/v1/if2/...=95&type=album
06-13-2022, 05:32 PM
Russki

dp
06-18-2022, 04:54 AM
vasiliki23

Distance to: Vasiliki
9.84740067 Albanian_North_Macedonia
11.53406260 Albanian_North
11.72997869 Albanian
11.84827414 Greek_Euboea
11.98119360 Albanian_South
12.13468994 Greek_Northeast
12.80426491 Albanian_Kosovo
12.91578104 Greek_Peloponnese
13.09134829 Albanian_Montenegro
13.58177087 Greek
13.76852207 North_Macedonian
13.88087173 Greek_Central-Macedonia
13.95477696 Greek_Istanbul
14.09729761 Italian_Friuli
14.32295012 North_Macedonian-2
14.61488283 Italian_Apulia
14.67202781 Italian_Val_Borbera
15.05058138 Italian_Tuscany
15.17369764 Bulgarian_2
15.17859348 Italian_Veneto
15.52669314 Montenegrin
15.68525422 Bulgarian
15.75164118 Moldova_South
15.77903356 Greek_Cyclades
15.95767214 Italian_Lazio

Target: Vasiliki
Distance: 921.6378% / 9.21637814
72.0 Albanian_North_Macedonia
13.2 Italian_Apulia
5.8 Italian_Tuscany
4.8 German_Saxony-Anhalt_South
2.6 Finnish_Northeast
1.6 Italian_Veneto

Target: Vasiliki
Distance: 922.3949% / 9.22394891 | ADC: 0.25x RC
73.8 Albanian_North_Macedonia
12.6 Italian_Apulia
9.2 Italian_Veneto
2.8 Finnish_Northeast
1.6 Austrian_Tyrol

Target: Vasiliki
Distance: 946.1754% / 9.46175394 | ADC: 0.5x RC
73.0 Albanian_North_Macedonia
13.4 Austrian_Tyrol
13.0 Italian_Apulia
0.6 Italian_Veneto

Target: Vasiliki
Distance: 984.7401% / 9.84740067 | ADC: 1x RC
100.0 Albanian_North_Macedonia
06-18-2022, 04:54 AM
vasiliki23

Distance to: Vasiliki
9.84740067 Albanian_North_Macedonia
11.53406260 Albanian_North
11.72997869 Albanian
11.84827414 Greek_Euboea
11.98119360 Albanian_South
12.13468994 Greek_Northeast
12.80426491 Albanian_Kosovo
12.91578104 Greek_Peloponnese
13.09134829 Albanian_Montenegro
13.58177087 Greek
13.76852207 North_Macedonian
13.88087173 Greek_Central-Macedonia
13.95477696 Greek_Istanbul
14.09729761 Italian_Friuli
14.32295012 North_Macedonian-2
14.61488283 Italian_Apulia
14.67202781 Italian_Val_Borbera
15.05058138 Italian_Tuscany
15.17369764 Bulgarian_2
15.17859348 Italian_Veneto
15.52669314 Montenegrin
15.68525422 Bulgarian
15.75164118 Moldova_South
15.77903356 Greek_Cyclades
15.95767214 Italian_Lazio

Target: Vasiliki
Distance: 921.6378% / 9.21637814
72.0 Albanian_North_Macedonia
13.2 Italian_Apulia
5.8 Italian_Tuscany
4.8 German_Saxony-Anhalt_South
2.6 Finnish_Northeast
1.6 Italian_Veneto

Target: Vasiliki
Distance: 922.3949% / 9.22394891 | ADC: 0.25x RC
73.8 Albanian_North_Macedonia
12.6 Italian_Apulia
9.2 Italian_Veneto
2.8 Finnish_Northeast
1.6 Austrian_Tyrol

Target: Vasiliki
Distance: 946.1754% / 9.46175394 | ADC: 0.5x RC
73.0 Albanian_North_Macedonia
13.4 Austrian_Tyrol
13.0 Italian_Apulia
0.6 Italian_Veneto

Target: Vasiliki
Distance: 984.7401% / 9.84740067 | ADC: 1x RC
100.0 Albanian_North_Macedonia
06-20-2022, 10:16 PM
Abriekman

Target: Abriekman
Distance: 680.9627% / 6.80962668 | R3P
47.4 Russian_Voronezh
37.8 Carpathian_Rusyns
14.8 Greek_Thrace
06-20-2022, 10:41 PM
Abriekman

Target: Abriekman_mother | 37,5% Polish | 12,5% Ukrainian Cossack | 25% Siberian Russian | 25% Bulgarian
Distance: 778.4432% / 7.78443186 | R4P
49.0 Ukrainian_Chernihiv
26.8 Greek_Central
20.4 Erzya
3.8 Brahui
06-26-2022, 05:37 PM
Ajeje Brazorf

Quote:

Originally Posted by Nganasankhan/Komintasavalta

Run calculators on the command line with ADMIXTURE

I now figured out a faster way to run a calculator for a large batch of samples, which is to simply use the `-P` option of ADMIXTURE to project the samples. See section 2.14 of the ADMIXTURE manual (https://dalexander.github.io/admixtu...ure-manual.pdf). For example the following code runs Eurogenes K36 for all samples in the 1240K version of the Reich dataset (which took only about 2 hours on my computer, even though it would've taken about 4 days with the Python admix script):

Code:

wget https://reichdata.hms.harvard.edu/pub/datasets/amh_repo/curated_releases/V50/V50.0/SHARE/public.dir/v50.0_1240K_public.{anno,geno,ind,snp} f=v50.0_HO_public;convertf -p <(printf %s\\n genotypename:\ $f.geno snpname:\ $f.snp indivname:\ $f.ind outputformat:\ PACKEDPED genotypeoutname:\ $f.bed snpoutname:\ $f.bim indivoutname:\ $f.fam) curl -Lso K36.zip 'https://drive.google.com/uc?export=download&id=1vOJptDkvjDuukjDFQXhgnDDL0zHUJ4YN' unzip K36.zip plink --allow-no-sex --bfile v50.0_1240K_public --extract <(cut -d\ -f1 K36.alleles) --geno .9999 --make-bed cut -d\ -f1 K36.alleles|paste - K36.36.F|awk 'NR==FNR{a[$1]=$0;next}{print a[$2]}' - plink.bim|cut -f2 >plink.36.P.in admixture -j4 -P plink.bed 36 cut -d\ -f2 plink.fam|paste - <(awk '{for(i=1;i<=NF;i++)$i=sprintf("%.2f",100*$i)}1' plink.36.Q)|awk -F\\t 'NR==FNR{a[$2]=$13;next}{print a[$1]":"$0}' v50.0_1240K_public.anno -|tr '\t ' ,|sort>reich.k36.1240k

The `--geno .9999` option is not actually needed in this case, but if you run ADMIXTURE with a smaller set of samples and you don't include the `--geno` option, then it can result in an error that "all genotypes are missing for a SNP locus".

You can download a zip file for the calculator files for K36 from here: https://onedrive.live.com/?authkey=%...1FDFEB45%21141. (Mirror: https://drive.google.com/file/d/1vOJ...hgnDDL0zHUJ4YN.)

Here's a CSV file for the K36 results of samples in the Reich dataset: https://drive.google.com/file/d/1dGD...IV4Cg6KnKHPeeX. I used the 1240K version when available and the HO version only for samples that were missing from the 1240K version. Eurogenes K36 has about 160,000 overlapping SNPs with the 1240K version but only about 50,000 overlapping SNPs with the HO version.

The zip file linked above includes the text file `Eurogenes_K36_refs.txt` which contains a list of samples that were used as references for Eurogenes K36. I excluded a total of 1868 samples from the CSV file where the part after the last underscore of the sample ID in the text file was the same as the version ID or master ID of a sample in the Reich dataset. But many samples had different names in the text file and the Reich dataset, so I wasn't able to remove all samples that suffer from the calculator effect because they were used as references in K36. For example some Chuvash samples like `Chuvash13` get almost 100% of the Volga-Ural component because of the calculator effect, but others like `Ttr-473` only get about 20%.

The following code generates population averages so that it removes duplicate samples, it removes samples with less than 200,000 SNPs, it removes samples that have been marked as contaminated, and it removes various suffixes from the population names:

Code:

curl -Lso reich.k36.csv 'https://drive.google.com/uc?export=download&id=1dGDy5_jpDR6vxXYz1qIV4Cg6KnKHPeeX' curl -LsO https://reichdata.hms.harvard.edu/pub/datasets/amh_repo/curated_releases/V50/V50.0/SHARE/public.dir/v50.0_HO_public.anno LC_ALL=C sort -t$'\t' -rnk14 v50.0_HO_public.anno|awk -F\\t '!a[$3]++&&$14>=2e5{print$2}'|awk -F'[:,]' 'NR==FNR{a[$0];next}$2 in a' - <(sed 1d reich.k36.csv)|sed 's/:[^,]*//'||grep -v ^\\.\\.|sed -E 's/(_(son|daughter|brother|sister|father|mother|published|all|dup)|[._][12]d\.|[._]rel)[^,]*//'|sed -E 's/\.(SG|SDG|DG|WGA)//'|grev -v ^Ignore_|grep -Ev '_(contam|fail)'|awk -F, '{n[$1]++;for(i=2;i<=NF;i++){a[$1,i]+=$i}}END{for(i in n){o=i;for(j=2;j<=NF;j++)o=o FS sprintf("%.2f",a[i,j]/n[i]);print o}}'|sort|cat <(head -n1 reich.k36.csv) ->reich.k36.csv.ave
06-27-2022, 01:00 AM
J. Ketch

Quote:

Originally Posted by Ajeje Brazorf

.

Thanks to Yamyatkah (sic) from beyond the grave, will take some time but I'll try to make ancient averages from that and incorporate the moderns.
06-27-2022, 02:46 PM
Jana

Posting my most accurate values here (from merged kit Ancestry+23andme+MyHeritage), because I think my K36 in user list comes from less accurate myheritage raw data:

Code:

Feiichy,0,0,0,1.25,0,8.84,0,0,9.04,0,18.16,1.06,8.2,7.08,6.16,10.12,0,12.83,0,0,0,3.7,4.72,5.88,0,0,0,0,0,0,0,0,0,0,0.88,2.08

Looks good! I am now paying closer attention to this calc, probably best we have for moderns while for ancients it's G25. :)

Distance to: Feiichy

6.09110827 Croatian
7.30954855 Bosnian
8.48463906 Hungarian
8.66259776 Slovenian
9.15240406 Serb
11.41354020 Romanian
11.58159747 Montenegrin
12.20868134 Czech
13.02315246 Austrian
13.08325265 Slovak
13.68920743 Bulgarian
14.68305826 Ukrainian
15.55546206 Moldovan
15.87896722 Polish
17.97768617 German
18.46924471 North_Macedonian
19.26584024 Swiss_German
20.29613264 Belarusian
20.90823761 Afrikaner
21.65470388 Walloon
21.67911899 Flemish
22.20204495 Albanian
22.27141666 French
23.27279313 Russian
24.62366951 Greek

Target: Feiichy
Distance: 5.9832% / 5.98315404

83.9 Croatian
6.8 Bosnian
6.3 Swiss_Italian
3.0 Lithuanian

Distance to: Feiichy

6.01782900 96.20% Croatian + 3.80% Swiss_Italian
6.05363124 97.60% Croatian + 2.40% Spanish
6.05599294 98.80% Croatian + 1.20% Sardinian
6.06928148 98.20% Croatian + 1.80% Portuguese
6.07803328 9.00% Bosnian + 91.00% Croatian
6.08909814 0.80% Albanian + 99.20% Croatian
6.09038796 99.00% Croatian + 1.00% Romanian
6.71105803 65.40% Bosnian + 34.60% Slovenian
7.00897679 93.00% Bosnian + 7.00% Spanish
7.04373750 15.20% Austrian + 84.80% Bosnian
7.05815012 90.40% Bosnian + 9.60% Swiss_German
7.07307529 93.60% Bosnian + 6.40% Portuguese
7.07321704 38.60% Polish + 61.40% Romanian
7.07527632 71.80% Bosnian + 28.20% Hungarian
7.07615137 46.20% Serb + 53.80% Slovenian
7.08308631 92.20% Bosnian + 7.80% French
7.13597114 93.80% Bosnian + 6.20% Swiss_Italian
7.18409856 93.80% Bosnian + 6.20% Walloon
7.19065983 94.00% Bosnian + 6.00% Flemish
7.19955781 88.60% Bosnian + 11.40% Czech
7.22871789 5.20% Afrikaner + 94.80% Bosnian
7.26296517 94.40% Bosnian + 5.60% Polish
7.26306468 95.20% Bosnian + 4.80% German
7.26548668 98.40% Bosnian + 1.60% Sardinian
7.26965285 97.00% Bosnian + 3.00% English
06-27-2022, 02:50 PM
Jana

testing with smaller regions, nice! And will try to make smaller Croatian averages in collaboration with some members here :)

Distance to: Feiichy

6.09110827 Croatian
7.30954855 Bosnian
7.66105084 Moldova_North
8.48463906 Hungarian
8.66259776 Slovenian
8.91715201 Moldova_Centre
9.15240406 Serb
9.30965091 Romanian_Northeast
9.61274154 Austrian_Carinthia
9.85012690 Carpathian_Rusyns
9.98535928 Austrian_Styria
9.99463856 Serb_Dalmatia
10.12177356 Ukrainian_Zakarpattia
10.38528767 Czech_Moravia
11.24460760 Slovak_2
11.33751295 Romanian_Southwest
11.39676270 Czech_Bohemia
11.41354020 Romanian
11.56462710 Ukrainian_Lviv
11.58159747 Montenegrin
11.69769635 Romanian_Southeast
12.20868134 Czech
12.21755295 German_North_Bohemia
12.59642807 Montenegrin
13.08325265 Slovak

Target: Feiichy
Distance: 5.6252% / 5.62524234

35.5 Croatian
26.0 Moldova_North
23.3 German_Brandenburg_outlier(Beeskow)
10.4 Swiss_Italian
2.4 Spanish_Baleares
1.5 Albanian_Kosovo
0.9 Darginian

Distance to: Feiichy

5.99934272 96.00% Croatian + 4.00% Spanish_Baleares
6.01578112 97.00% Croatian + 3.00% Spanish_Valencia
6.01782900 96.20% Croatian + 3.80% Swiss_Italian
6.01925330 97.00% Croatian + 3.00% Spanish_Castello
6.03084269 97.00% Croatian + 3.00% Spanish_Terres_de_l'Ebre
6.04090376 97.20% Croatian + 2.80% Spanish_Lleida
6.04110173 97.40% Croatian + 2.60% Spanish_Valencia
6.04146673 97.40% Croatian + 2.60% Spanish_Catalunya_Central
6.04357955 97.20% Croatian + 2.80% Spanish_Barcelones
6.04374112 97.20% Croatian + 2.80% Spanish_Camp_de_Tarragona
6.04380254 97.20% Croatian + 2.80% Spanish_Peri-Barcelona
6.04447310 97.80% Croatian + 2.20% Spanish_Cantabria
6.05363124 97.60% Croatian + 2.40% Spanish
6.05497498 97.60% Croatian + 2.40% Spanish_Eivissa
6.05599294 98.80% Croatian + 1.20% Sardinian
6.06088873 93.00% Croatian + 7.00% Serb_Dalmatia
6.06207827 97.80% Croatian + 2.20% Spanish_Mallorca
6.06317067 97.80% Croatian + 2.20% Spanish_Girona
6.06460327 95.60% Croatian + 4.40% German_Brandenburg_outlier(Beeskow)
6.06514629 98.00% Croatian + 2.00% Spanish_Penedes
6.06928148 98.20% Croatian + 1.80% Portuguese
6.07010111 90.20% Croatian + 9.80% Moldova_North
6.07108073 98.20% Croatian + 1.80% Italian_Tuscany
6.07160344 98.20% Croatian + 1.80% French_Corsican
6.07313608 98.60% Croatian + 1.40% Spanish_Aragon
06-27-2022, 04:55 PM
Jana

For Creoda to add into regional spreadsheet; Croats from Gorski Kotar (sample size 20)

Code:

Croat_Gorski_Kotar,0.0145,0.304,0.677,1.283,0.0,8.1785,0.0,0.0,6.378,0.0,14.8695,1.2845,8.723,8.996,3.9025,7.5975,0.0,11.478,0.0,0.697,0.3245,7.044,3.106,11.05,0.0,0.0335,0.0,0.0,0.0,0.0,0.132,0.0,0.809,0.0,0.8935,2.2095

They are a historical mix of Croat, Slovene and Gottschee German population.

https://en.wikipedia.org/wiki/Gorski_Kotar

Individual samples:

Code:

result,0,1.96,3.41,3.35,0,15.05,0,0,4.59,0,13.85,1.65,12.33,8.86,0.81,9.37,0,7.74,0,0,0.66,5.72,0,6.99,0,0,0,0,0,0,0.34,0,1.57,0,0,1.7 result,0,0,0.17,0.26,0,6.7,0,0,5.15,0,16.03,0,7.61,9.21,3.51,6.88,0,16.36,0,1.68,1.75,6.85,2.92,11.28,0,0,0,0,0,0,0,0,0.6,0,0.27,2.77 result,0.29,0.53,0.64,2.92,0,10.19,0,0,3.77,0,13.96,1.83,9.55,10.91,3.28,7.23,0,11.34,0,1.54,0,6.73,1.65,11.08,0,0,0,0,0,0,0,0,1.06,0,0.42,1.04 result,0,1.05,0.62,0,0,3.86,0,0,5.26,0,14.83,5.6,11.58,11.71,3.86,7.51,0,13.61,0,0,0.22,6.06,0.06,13.18,0,0.67,0,0,0,0,0,0,0,0,0,0.27 result,0,0,0,3.95,0,11.3,0,0,6.67,0,15.39,2.49,8.08,9.01,3.99,4.47,0,12.1,0,0,1.76,7.66,3.23,6.38,0,0,0,0,0,0,0.51,0,1.8,0,0,1.18 result,0,0,1.6,3.31,0,7.43,0,0,7.62,0,17.11,2.75,7.72,8.71,3.23,0.21,0,10.37,0,0,0,14.5,1.6,8.77,0,0,0,0,0,0,0,0,2.91,0,1.68,0.49 result,0,0,0.09,0,0,9.85,0,0,9.28,0,8.94,0.75,8.18,12.39,4,2.18,0,13.54,0,1.73,0,5.49,3.77,11.51,0,0,0,0,0,0,1.09,0,0,0,1.44,5.71 result,0,0,1.53,1.43,0,8.21,0,0,8.96,0,21.67,0,8,9.36,2.74,5.24,0,10.11,0,0,0.25,6.92,1.15,9.99,0,0,0,0,0,0,0,0,0.6,0,1.24,2.61 result,0,0,0,1.21,0,8.83,0,0,7.69,0,13.83,1.31,3.45,12.45,6.16,0,0,9.63,0,0,0,12.31,7.12,10.81,0,0,0,0,0,0,0.7,0,0.29,0,0,4.2 result,0,0.46,0,0,0,7.1,0,0,7.56,0,15.38,0,5.85,6.66,6.12,9.4,0,12.97,0,0.19,0,5.79,2.34,11.94,0,0,0,0,0,0,0,0,1.8,0,2.83,3.55 result,0,0,0.37,0,0,8.31,0,0,6.77,0,12.34,0,9.12,7.35,3.58,14.42,0,13.19,0,0,0.35,6.39,4.85,10.95,0,0,0,0,0,0,0,0,0,0,0,2 result,0,0,0,0.86,0,6.84,0,0,6.05,0,15.65,0,7.21,10.52,3.75,7.24,0,10.23,0,4.25,0,7.39,0.4,13.95,0,0,0,0,0,0,0,0,0.06,0,2.21,3.39 result,0,0.86,0.06,1.3,0,11.25,0,0,5.99,0,17.88,5.44,6.44,7.14,5.8,10.15,0,2.78,0,1.49,0,5.57,1.98,13.44,0,0,0,0,0,0,0,0,0.48,0,0.72,1.23 result,0,0,1.4,0.68,0,5.79,0,0,2.5,0,13.96,0,9.92,4.98,6.54,8.66,0,18.18,0,1.38,0,5.28,1.9,15.04,0,0,0,0,0,0,0,0,0,0,0,3.79 result,0,0,1.58,3.64,0,8.39,0,0,3.91,0,9.78,0,9.14,10.27,5.26,13.15,0,13.39,0,0,0,7.22,3.63,10.64,0,0,0,0,0,0,0,0,0,0,0,0 result,0,0,0.82,0.18,0,7.47,0,0,7.21,0,11.83,0.14,6.34,10.54,3.18,11.61,0,11.57,0,0,0,8.26,5.28,13.9,0,0,0,0,0,0,0,0,0,0,1.68,0 result,0,0,0,0,0,9.07,0,0,5.71,0,12.09,2.04,11.23,8.27,4.31,11.33,0,4.96,0,0,1.5,7.29,4.01,13.43,0,0,0,0,0,0,0,0,1.54,0,3.24,0 result,0,1.22,1.25,1.03,0,2.63,0,0,9.49,0,18.9,1.69,10.77,6.96,4.08,7.34,0,8.89,0,0.76,0,5.92,6.11,5.17,0,0,0,0,0,0,0,0,1.65,0,0,6.09 result,0,0,0,1.43,0,6.98,0,0,5.03,0,13.64,0,10.07,7.88,1.37,6.7,0,13.89,0,0.92,0,9.34,5.22,11.59,0,0,0,0,0,0,0,0,1.82,0,1.33,2.79 result,0,0,0,0.11,0,8.32,0,0,8.35,0,20.33,0,11.87,6.74,2.48,8.86,0,14.71,0,0,0,0.19,4.9,10.96,0,0,0,0,0,0,0,0,0,0,0.81,1.38

Many are very German shifted. This region is most German shifted in entire Croatia.
06-27-2022, 04:58 PM
Jana

Distance to: Croat_Gorski_kotar

3.80599048 Hungarian
4.37644188 Austrian_Carinthia
4.90839622 Slovenian
5.48851287 Czech_Moravia
5.52328014 Croatian
6.68491313 Czech_Bohemia
6.88800795 Czech
6.98710122 German_Thuringia_East
7.18331146 German_Saxony
7.46636548 Austrian_Styria
7.54295522 Slovak_2
7.68952427 Bosnian
8.17605061 German_East
8.90562089 German_North_Bohemia
8.92943299 Ukrainian_Zakarpattia
9.14355858 Slovak
9.36294951 Moldova_North
9.46054721 Romanian_Northeast
9.53926011 Moldova_Centre
9.55855499 German_County_Glatz
9.62195165 Carpathian_Rusyns
9.84371391 German_Saxony-Anhalt_South
9.84564236 Serb
10.13380992 German_Thuringia_Central
10.69817010 German_Bavaria_Oberpfalz

Target: Croat_Gorski_Kotar
Distance: 1.8027% / 1.80266448 | ADC: 0.5x RC

38.4 Croatian
19.9 Hungarian
18.0 German_Saxony
12.6 German_Saxony-Anhalt_South
5.7 Czech_Bohemia
5.4 Austrian_Salzburg-Upper_Austria

Distance to: Croat_Gorski_Kotar

2.44063161 65.80% Ukrainian_Zakarpattia + 34.20% Walloon
2.54936667 66.00% Croatian + 34.00% German_Saxony-Anhalt_South
2.56315010 34.20% German_Saarland + 65.80% Ukrainian_Zakarpattia
2.64406770 58.00% Croatian + 42.00% German_Saxony
2.70935289 56.80% Bosnian + 43.20% German_Saxony-Anhalt_South
2.73261278 47.20% Bosnian + 52.80% German_Thuringia_East
2.73984553 48.60% German_Saxony-Anhalt_South + 51.40% Moldova_North
2.76036218 38.00% German_Baden-Württemberg + 62.00% Ukrainian_Zakarpattia
2.77442114 76.80% Czech_Bohemia + 23.20% Italian_North
2.78489924 21.60% German_Saxony-Anhalt_South + 78.40% Hungarian
2.79482355 36.80% German_North_Rhine + 63.20% Ukrainian_Zakarpattia
2.81558475 80.00% Czech_Bohemia + 20.00% Italian_Val_Borbera
2.81622785 74.80% Czech_Bohemia + 25.20% Italian_Friuli
2.82815128 27.80% German_Saxony + 72.20% Hungarian
2.84911697 43.80% Austrian_Salzburg-Upper_Austria + 56.20% Ukrainian_Zakarpattia
2.87053923 21.60% German_County_Glatz + 78.40% Hungarian
2.87827229 35.20% Flemish + 64.80% Ukrainian_Zakarpattia
2.88156893 16.20% German_Brandenburg_Northwest + 83.80% Hungarian
2.90211055 57.40% Croatian + 42.60% German_Thuringia_East
2.90422003 74.40% Czech_Bohemia + 25.60% Italian_Veneto
2.91070613 37.60% German_South + 62.40% Ukrainian_Zakarpattia
2.91736562 59.20% German_East + 40.80% Romanian_Southwest
2.91954225 58.00% German_Saxony + 42.00% Moldova_Centre
2.92212740 18.40% Austrian_Salzburg-Upper_Austria + 81.60% Hungarian
2.94387506 82.20% Czech_Bohemia + 17.80% Italian_Tuscany
06-27-2022, 05:01 PM
Jana

Will try to compile some other regions later.
06-27-2022, 05:06 PM
J. Ketch

Quote:

Originally Posted by Feiichy

For Creoda to add into regional spreadsheet; Croats from Gorski Kotar (sample size 20)

Code:

Croat_Gorski_Kotar,0.0145,0.304,0.677,1.283,0.0,8.1785,0.0,0.0,6.378,0.0,14.8695,1.2845,8.723,8.996,3.9025,7.5975,0.0,11.478,0.0,0.697,0.3245,7.044,3.106,11.05,0.0,0.0335,0.0,0.0,0.0,0.0,0.132,0.0,0.809,0.0,0.8935,2.2095

They are a historical mix of Croat, Slovene and Gottschee German population.

https://en.wikipedia.org/wiki/Gorski_Kotar

Individual samples:

Code:

result,0,1.96,3.41,3.35,0,15.05,0,0,4.59,0,13.85,1.65,12.33,8.86,0.81,9.37,0,7.74,0,0,0.66,5.72,0,6.99,0,0,0,0,0,0,0.34,0,1.57,0,0,1.7 result,0,0,0.17,0.26,0,6.7,0,0,5.15,0,16.03,0,7.61,9.21,3.51,6.88,0,16.36,0,1.68,1.75,6.85,2.92,11.28,0,0,0,0,0,0,0,0,0.6,0,0.27,2.77 result,0.29,0.53,0.64,2.92,0,10.19,0,0,3.77,0,13.96,1.83,9.55,10.91,3.28,7.23,0,11.34,0,1.54,0,6.73,1.65,11.08,0,0,0,0,0,0,0,0,1.06,0,0.42,1.04 result,0,1.05,0.62,0,0,3.86,0,0,5.26,0,14.83,5.6,11.58,11.71,3.86,7.51,0,13.61,0,0,0.22,6.06,0.06,13.18,0,0.67,0,0,0,0,0,0,0,0,0,0.27 result,0,0,0,3.95,0,11.3,0,0,6.67,0,15.39,2.49,8.08,9.01,3.99,4.47,0,12.1,0,0,1.76,7.66,3.23,6.38,0,0,0,0,0,0,0.51,0,1.8,0,0,1.18 result,0,0,1.6,3.31,0,7.43,0,0,7.62,0,17.11,2.75,7.72,8.71,3.23,0.21,0,10.37,0,0,0,14.5,1.6,8.77,0,0,0,0,0,0,0,0,2.91,0,1.68,0.49 result,0,0,0.09,0,0,9.85,0,0,9.28,0,8.94,0.75,8.18,12.39,4,2.18,0,13.54,0,1.73,0,5.49,3.77,11.51,0,0,0,0,0,0,1.09,0,0,0,1.44,5.71 result,0,0,1.53,1.43,0,8.21,0,0,8.96,0,21.67,0,8,9.36,2.74,5.24,0,10.11,0,0,0.25,6.92,1.15,9.99,0,0,0,0,0,0,0,0,0.6,0,1.24,2.61 result,0,0,0,1.21,0,8.83,0,0,7.69,0,13.83,1.31,3.45,12.45,6.16,0,0,9.63,0,0,0,12.31,7.12,10.81,0,0,0,0,0,0,0.7,0,0.29,0,0,4.2 result,0,0.46,0,0,0,7.1,0,0,7.56,0,15.38,0,5.85,6.66,6.12,9.4,0,12.97,0,0.19,0,5.79,2.34,11.94,0,0,0,0,0,0,0,0,1.8,0,2.83,3.55 result,0,0,0.37,0,0,8.31,0,0,6.77,0,12.34,0,9.12,7.35,3.58,14.42,0,13.19,0,0,0.35,6.39,4.85,10.95,0,0,0,0,0,0,0,0,0,0,0,2 result,0,0,0,0.86,0,6.84,0,0,6.05,0,15.65,0,7.21,10.52,3.75,7.24,0,10.23,0,4.25,0,7.39,0.4,13.95,0,0,0,0,0,0,0,0,0.06,0,2.21,3.39 result,0,0.86,0.06,1.3,0,11.25,0,0,5.99,0,17.88,5.44,6.44,7.14,5.8,10.15,0,2.78,0,1.49,0,5.57,1.98,13.44,0,0,0,0,0,0,0,0,0.48,0,0.72,1.23 result,0,0,1.4,0.68,0,5.79,0,0,2.5,0,13.96,0,9.92,4.98,6.54,8.66,0,18.18,0,1.38,0,5.28,1.9,15.04,0,0,0,0,0,0,0,0,0,0,0,3.79 result,0,0,1.58,3.64,0,8.39,0,0,3.91,0,9.78,0,9.14,10.27,5.26,13.15,0,13.39,0,0,0,7.22,3.63,10.64,0,0,0,0,0,0,0,0,0,0,0,0 result,0,0,0.82,0.18,0,7.47,0,0,7.21,0,11.83,0.14,6.34,10.54,3.18,11.61,0,11.57,0,0,0,8.26,5.28,13.9,0,0,0,0,0,0,0,0,0,0,1.68,0 result,0,0,0,0,0,9.07,0,0,5.71,0,12.09,2.04,11.23,8.27,4.31,11.33,0,4.96,0,0,1.5,7.29,4.01,13.43,0,0,0,0,0,0,0,0,1.54,0,3.24,0 result,0,1.22,1.25,1.03,0,2.63,0,0,9.49,0,18.9,1.69,10.77,6.96,4.08,7.34,0,8.89,0,0.76,0,5.92,6.11,5.17,0,0,0,0,0,0,0,0,1.65,0,0,6.09 result,0,0,0,1.43,0,6.98,0,0,5.03,0,13.64,0,10.07,7.88,1.37,6.7,0,13.89,0,0.92,0,9.34,5.22,11.59,0,0,0,0,0,0,0,0,1.82,0,1.33,2.79 result,0,0,0,0.11,0,8.32,0,0,8.35,0,20.33,0,11.87,6.74,2.48,8.86,0,14.71,0,0,0,0.19,4.9,10.96,0,0,0,0,0,0,0,0,0,0,0.81,1.38

Many are very German shifted. This region is most German shifted in entire Croatia.

Thanks, added, and you're welcome to edit my K36 sheets like the others, as you see fit :thumb001:
06-27-2022, 06:43 PM
Jana

Thank you very much! It's a really good calc :)
06-27-2022, 11:19 PM
J. Ketch

CEU (White Americans from Utah) from the Reich dataset:

Code:

CEU(n=75),0.26,0.06,0.30,2.22,0.13,6.86,0.05,0.03,2.43,0.06,5.66,0.11,3.90,9.96,6.71,12.51,0.16,8.06,0.06,0.12,0.15,14.48,2.76,18.64,0.05,0.14,0.09,0.05,0.05,0.42,1.07,0.11,0.90,0.07,0.48,0.88

Distance to: CEU(n=75)
2.92371339 English_East
3.09938704 English_Southeast
3.30582819 English_West-Midlands
3.30611555 English
3.55814558 English_East-Midlands
3.70197245 Dutch_South
3.89341752 English_Lancashire
4.08690592 Dutch
4.24829378 English_Yorkshire
4.30555455 Dutch_Central
4.63841568 English_Northeast
4.90033672 English_Southwest
4.96820893 British_Ulster
5.10972602 Scottish
5.51683786 Scottish_East
5.69494513 French_Normandy
5.69974561 Scottish_Highlands
5.72495415 German_Northwest
5.73939021 Welsh
5.80420537 Scottish_Orkney

Target: CEU(n=75)
Distance: 99.5159% / 0.99515867 | ADC: 0.5x RC
36.0 English_East
27.6 English_Southeast
15.8 Dutch_South
9.2 Dutch
5.4 Scottish_Highlands
2.8 Volga_Tatar
2.0 Tabasaran
1.2 Kalash

Target: CEU(n=75)
Distance: 66.0410% / 0.66041017 | ADC: 0.25x RC
42.8 English_East
20.0 Dutch_South
17.8 English_Southeast
8.2 Icelandic
5.4 British_Ulster
2.6 Tabasaran
2.0 Chuvash
1.0 Bahun
0.2 Kalash

Individuals

Code:

Distance to: CEU.SG:NA12890.SG 9.16800960 English_East 9.24170980 Scottish_East 9.48151887 German_Northwest 9.49628348 British_Ulster 9.54545965 Scottish_Highlands Distance to: CEU.SG:NA12878.SG 9.10643728 Irish_Connacht 9.21100429 Irish_Ulster 9.37171809 Scottish_Orkney 9.43326031 British_Ulster 9.46770299 Irish Distance to: CEU.SG:NA12874.SG 8.05368239 English_West-Midlands 8.30734615 English_East 8.31137774 Scottish 8.35329276 Welsh 8.37269371 English_Southwest Distance to: CEU.SG:NA12873.SG 10.67980337 English_East 11.01034059 English_Southwest 11.17481991 British_Ulster 11.20440538 English_Southeast 11.21107488 English_Lancashire Distance to: CEU.SG:NA12872.SG 6.56115081 English_Northeast 6.80720207 Scottish_Orkney 7.03146500 English_West-Midlands 7.07464487 English_East-Midlands 7.16647054 Scottish Distance to: CEU.SG:NA12843.SG 7.22749611 German_Lower_Saxony_North 7.92630431 German_Westphalia 8.22346642 Icelandic 8.43380697 Dutch_North 8.95530011 German_Northwest Distance to: CEU.SG:NA12842.SG 10.28769654 Scottish_Highlands 10.57330128 German_Lower_Saxony_South 10.64838485 Scottish_East 10.75171149 Scottish 10.90531522 German_Bavaria_Lower/Middle_Franconia Distance to: CEU.SG:NA12830.SG 5.21662726 Dutch_South 5.23756623 Afrikaner 5.65416661 French_Normandy 6.73562915 French_Hauts-de-France 6.81161508 Flemish Distance to: CEU.SG:NA12829.SG 9.96687514 Swiss_German 10.12937807 German_Baden-Württemberg 10.55162547 Walloon 10.66175408 German_Hesse_South 10.82586717 German_South Distance to: CEU.SG:NA12828.SG 8.55427963 English_East 8.70703738 German_Bavaria_Lower/Middle_Franconia 9.16901849 English_West-Midlands 9.25056755 English_East-Midlands 9.26754013 French_Hauts-de-France Distance to: CEU.SG:NA12814.SG 6.93236612 German_Westphalia 7.41891502 Dutch_Central 7.70647131 Dutch 8.45576726 German_Northwest 8.86754194 Dutch_North Distance to: CEU.SG:NA12813.SG 7.58909744 English_Southwest 8.05836832 French_Brittany 8.17357327 English_East-Midlands 8.18297012 English_East 8.23560562 English_Lancashire Distance to: CEU.SG:NA12812.SG 6.09839323 English_Northeast 6.12459795 English_Southeast 6.24037659 English 6.39709309 English_West-Midlands 6.42288097 Scottish Distance to: CEU.SG:NA12778.SG 6.45404524 English_Northeast 7.01787717 English_East-Midlands 7.02746754 Cornish 7.27662009 Dutch_South 7.38375921 English_West-Midlands Distance to: CEU.SG:NA12777.SG 10.86379308 Dutch_South 10.94039762 Flemish 11.70018376 English_Lancashire 11.70747624 English_East-Midlands 11.72943306 English_Southeast Distance to: CEU.SG:NA12775.SG 8.74631923 French_Normandy 8.94322649 Dutch_South 8.95898432 Afrikaner 9.29980107 Scottish_Orkney 9.38211597 French_Brittany Distance to: CEU.SG:NA12763.SG 8.72639101 Afrikaner 8.99524875 Austrian_Burgenland 8.99786086 German_Bavaria_Oberpfalz 9.10432315 German 9.37704644 French_East Distance to: CEU.SG:NA12760.SG 9.53036725 German_Lower_Saxony_South 10.40777594 German_Westphalia 10.55098100 Dutch 10.74777186 Dutch_Central 10.92657311 English_East-Midlands Distance to: CEU.SG:NA12751.SG 6.88414846 German_Westphalia 7.74330033 Dutch_Central 7.76626036 German_Northwest 7.77862456 German_Mecklenburg_Center/East 7.80144858 Danish Distance to: CEU.SG:NA12750.SG 11.30004867 English_East 11.75572626 German_Northwest 12.17267021 Scottish_Highlands 12.28188911 English_Southeast 12.31250178 English_Southwest Distance to: CEU.SG:NA12749.SG 8.94716156 English_East 9.16746421 English_Southeast 9.19103367 English_Southwest 9.31028464 English 9.36703261 English_Lancashire Distance to: CEU.SG:NA12748.SG 10.56196951 Scottish_Highlands 10.72268157 German_Westphalia 10.82147864 German_Mecklenburg_Center/East 11.06997290 Dutch 11.11881738 Faroese Distance to: CEU.SG:NA12718.SG 8.32576723 French_Normandy 9.01848103 Dutch_South 9.02765196 Afrikaner 9.20248336 English_Lancashire 9.22085137 English_West-Midlands Distance to: CEU.SG:NA12716.SG 8.77880971 German_Saxony-Anhalt_South 10.32707122 German 11.15716810 German_Lower_Saxony_South 11.32645576 German_Northwest 11.43106732 German_Westphalia Distance to: CEU.SG:NA12489.SG 10.71109238 French_Normandy 10.79301163 French_Brittany 11.22106056 Cornish 11.22653108 English_Southwest 11.36335338 Afrikaner Distance to: CEU.SG:NA12414.SG 11.33858898 Icelandic 12.25487658 Scottish_East 12.28158785 British_Ulster 12.45926162 Irish_Connacht 12.48645666 Scottish_Highlands Distance to: CEU.SG:NA12413.SG 10.24385181 French_Northeast 10.67729366 French_East 11.00960036 Afrikaner 11.20215158 French_Normandy 11.99438619 French Distance to: CEU.SG:NA12400.SG 6.96103441 English_East-Midlands 7.00631858 English_East 7.18573587 English_Southeast 7.36503225 English_West-Midlands 7.46008043 English Distance to: CEU.SG:NA12348.SG 8.01746843 German 8.02889781 English_West-Midlands 8.07317162 Dutch 8.31544948 Dutch_South 8.33598225 Afrikaner Distance to: CEU.SG:NA12342.SG 7.12830274 English_Southeast 7.27038513 English_East-Midlands 7.29426487 English_Yorkshire 7.38635905 English 7.64600549 English_West-Midlands Distance to: CEU.SG:NA12341.SG 8.09701179 British_Ulster 8.09884560 Scottish_Orkney 8.33488452 English_Southeast 8.39207364 Scottish_Southwest 8.49974117 Scottish Distance to: CEU.SG:NA12340.SG 8.65210957 Dutch_South 8.79072807 Flemish 9.75691037 Afrikaner 9.94916579 German_Rhineland-Palatinate 10.25456484 German_South Distance to: CEU.SG:NA12287.SG 7.25667279 French_Northeast 7.55832653 Afrikaner 7.81758275 Dutch_South 8.01709424 French_Normandy 8.01915207 French_East Distance to: CEU.SG:NA12286.SG 7.41851063 Slovak_2 8.01270866 Czech_Moravia 8.11308203 Slovenian 8.14030098 Austrian_Carinthia 8.37386410 Hungarian Distance to: CEU.SG:NA12283.SG 10.13282784 Scottish_East 10.39130406 Scottish 10.42812543 British_Ulster 10.70221005 Welsh 10.76732093 Scottish_Highlands Distance to: CEU.SG:NA12275.SG 9.45995772 French_Normandy 9.74681486 English_Southeast 9.75122556 Dutch_South 9.76885357 Afrikaner 10.08451784 English_Southwest Distance to: CEU.SG:NA12273.SG 9.40132437 German_Bavaria_Oberpfalz 9.44213429 German_North_Rhine 10.00915081 Flemish 10.02940676 French_East 10.38352060 Swiss_German Distance to: CEU.SG:NA12272.SG 9.51036803 French 10.93241968 French_East 11.12346619 French_Hauts-de-France 11.28094854 French_Brittany 11.65769274 French_Normandy Distance to: CEU.SG:NA12156.SG 8.80454428 Flemish 9.10580035 Afrikaner 9.35908649 English_East-Midlands 9.44167358 French_Hauts-de-France 9.69416319 English_East Distance to: CEU.SG:NA12155.SG 10.94421308 Irish_Ulster 12.10356972 Irish_Connacht 12.31312308 Irish 12.48224339 Irish_Munster 12.52304675 Scottish_Orkney Distance to: CEU.SG:NA12154.SG 8.27871971 German 8.53591823 Dutch_South 8.69726394 Afrikaner 8.79722684 English_Northeast 8.90193237 Scottish_Highlands Distance to: CEU.SG:NA12058.SG 8.76919609 Scottish_Orkney 9.02925800 Irish 9.05512010 Welsh 9.05564465 Irish_Connacht 9.06865481 British_Ulster Distance to: CEU.SG:NA12046.SG 8.11098638 French_Normandy 8.21386024 English_Southeast 8.53055684 English_Southwest 8.55854544 French_Brittany 8.64175329 English Distance to: CEU.SG:NA12045.SG 6.11262628 German_South 6.78275018 German_Baden-Württemberg 7.03845153 Flemish 7.24637841 Walloon 7.25432285 German_Hesse_South Distance to: CEU.SG:NA12043.SG 10.25152672 English_Southeast 10.37293112 English_East 10.52057508 Scottish_Highlands 10.61341133 British_Ulster 10.70979925 English Distance to: CEU.SG:NA12006.SG 7.95710374 English_East 8.23904728 English_West-Midlands 8.36194953 English_Southeast 8.44641344 English_Southwest 8.48579990 English Distance to: CEU.SG:NA12004.SG 7.56562621 Afrikaner 7.73292959 Dutch_South 7.82231424 French_Normandy 8.27571749 Flemish 8.30341496 German_Rhineland-Palatinate Distance to: CEU.SG:NA11995.SG 5.21676145 German_Westphalia 5.84012842 German_Northwest 6.32134479 Dutch 6.47374698 Dutch_Central 6.69522965 Icelandic Distance to: CEU.SG:NA11994.SG 9.88378976 Cornish 10.31055285 English_Northeast 10.54466690 English_East-Midlands 10.64923002 Afrikaner 10.66580049 French_Hauts-de-France Distance to: CEU.SG:NA11992.SG 7.33993188 French_Hauts-de-France 7.62226344 French_Brittany 7.67659430 French_Normandy 8.47332284 Afrikaner 8.58504514 French Distance to: CEU.SG:NA11933.SG 9.29767713 French_Normandy 9.59605127 French_East 9.74994872 Afrikaner 10.20005392 German_Bavaria_proper 10.22576159 German_Bavarian_Swabia Distance to: CEU.SG:NA11932.SG 12.37712810 German_North_Moravia 14.45766925 German_Mecklenburg_West 14.46725613 German_West_Bohemia 14.57240543 Dutch_Central 14.63064934 German Distance to: CEU.SG:NA11931.SG 10.46013384 Flemish 10.65914631 Walloon 10.79878234 Dutch_South 11.41189730 Austrian_Salzburg-Upper_Austria 11.42084060 German_South Distance to: CEU.SG:NA11920.SG 6.93551007 English_Southeast 6.96355513 Dutch 6.99562006 English_Yorkshire 7.22991010 English_West-Midlands 7.33455520 English Distance to: CEU.SG:NA11918.SG 6.12175628 Irish_Munster 6.24747149 Irish 6.49241866 Irish_Connacht 6.50329916 Irish_Leinster 6.65487040 Irish_Ulster Distance to: CEU.SG:NA11894.SG 7.76902182 Scottish_East 7.84680827 Welsh 7.94243665 Scottish 8.29241822 Scottish_Orkney 8.36151302 Irish_Connacht Distance to: CEU.SG:NA11893.SG 7.91106820 British_Ulster 8.17294317 Scottish_East 8.36698273 English_Southwest 8.44579185 English_Lancashire 8.46615615 Scottish Distance to: CEU.SG:NA11892.SG 7.02538255 Scottish_East 7.13164778 British_Ulster 7.34945576 Scottish_Orkney 7.39827007 English_Southwest 7.50054665 Scottish Distance to: CEU.SG:NA11881.SG 8.99130691 Dutch_South 9.18604376 German_Rhineland-Palatinate_East_of_Rhine 9.19269819 Flemish 9.41281042 Dutch 9.52474147 Afrikaner Distance to: CEU.SG:NA11843.SG 10.39401751 German 10.39442158 German_North_Rhine 11.04955655 Dutch_Central 11.11857905 Flemish 11.13089844 Dutch Distance to: CEU.SG:NA11840.SG 9.83011190 Swedish 11.93256469 Norwegian 11.93349069 Swedish_North 12.01338420 Swedish_2 12.05341860 German_Brandenburg_Northwest Distance to: CEU.SG:NA11831.SG 7.22202880 English_Lancashire 7.30879607 English_Southwest 7.54416993 British_Ulster 7.55368784 French_Brittany 7.58478741 English_Southeast Distance to: CEU.SG:NA10851.SG 36.22762344 German_Frisian 37.31018226 German_Lower_Saxony_North 37.79421781 Dutch_North 38.41379700 German_Schleswig-Holstein 38.42682527 German_Westphalia Distance to: CEU.SG:NA10847.SG 34.80658271 German_Lower_Saxony_North 34.83845289 German_Frisian 35.53822027 German_Schleswig-Holstein 35.55859671 Dutch_North 35.55889762 German_Westphalia Distance to: CEU.SG:NA07347.SG 7.35343457 French 7.67492020 French_Hauts-de-France 8.06597793 German_Hesse_South 8.09430664 French_Northeast 8.16369402 French_Normandy Distance to: CEU.SG:NA07056.SG 6.70189525 English_Lancashire 6.72249954 English_East 6.75837998 French_Normandy 6.98881249 English_East-Midlands 7.05056735 English Distance to: CEU.SG:NA07051.SG 7.77209110 English_Southeast 7.91924239 English_Yorkshire 8.17875296 English 8.25302975 English_Northeast 8.26846419 English_Lancashire Distance to: CEU.SG:NA07048.SG 5.62206368 English_Southeast 5.89547284 English 5.89997458 English_West-Midlands 5.96453686 English_Lancashire 6.12107017 English_East Distance to: CEU.SG:NA07037.SG 41.71540123 Austrian_Salzburg-Upper_Austria 42.90875086 German_North_Moravia 43.40531534 German_Bavarian_Swabia 43.42499741 German_Mecklenburg_West 43.67852791 German_Saxony-Anhalt_South Distance to: CEU.SG:NA07000.SG 8.04397290 Dutch 8.04662662 English_Northeast 8.08086629 English_Lancashire 8.11421592 Dutch_Central 8.26352225 Icelandic Distance to: CEU.SG:NA06994.SG 9.51677466 Dutch 9.86958966 German_Westphalia 9.89350797 German_Northwest 9.93374048 Dutch_Central 10.24163561 German_Schleswig-Holstein Distance to: CEU.SG:NA06989.SG 7.03767007 Scottish_Southwest 7.32726416 Scottish_Orkney 7.35578004 Scottish_Highlands 7.38080619 British_Ulster 7.49711945 Welsh Distance to: CEU.SG:NA06986.SG 5.87464041 Scottish_Highlands 6.72059521 Irish_Connacht 6.73985905 Scottish_Southwest 6.74785892 Irish 7.01646635 Irish_Munster Distance to: CEU.SG:NA06985.SG 11.44111009 German 11.52725032 German_Saxony-Anhalt_South 11.82739194 German_North_Moravia 12.08669516 German_Lower_Saxony_South 12.09246873 Austrian_Salzburg-Upper_Austria Distance to: CEU.SG:NA06984.SG 7.98589381 English_West-Midlands 8.02224408 English_Southeast 8.09973456 English_East 8.41107603 English 8.76012557 English_Yorkshire

Compared to my collected results for Utah in K13

Code:

Distance to: US_Utah(n=22) 1.28537932 English_Midlands 1.30433891 English_Southeast 1.81598458 English_North 1.99802402 Dutch 2.03575539 English_Southwest 2.32447844 Welsh 2.49543583 Dutch_Central 2.97077431 Scottish 3.08535249 German_Northwest 3.77591049 Dutch_South 3.96969772 Dutch_North 4.33301281 French_Brittany 4.37941777 Irish 5.20783064 Flemish 5.26353493 Icelandic 6.42045170 Danish 6.65690619 Norwegian 7.08885745 Norwegian_Southcentral 7.16507502 Swedish_Götaland 8.12160698 French_North Target: US_Utah(n=22) Distance: 71.8201% / 0.71820141 | ADC: 0.5x RC 66.2 English_Midlands 21.2 Welsh 11.2 German_Northwest 1.4 Dargin Target: US_Utah(n=22) Distance: 39.0171% / 0.39017089 | ADC: 0.25x RC 49.8 English_Midlands 38.8 Welsh 5.4 Norwegian 4.4 German_Southeast 1.2 Dargin 0.4 Maya Distance to: US_Utah(n=22) 1.09590146 English_Southeast 1.27976560 English_Northeast 1.32762947 English_East-Midlands 1.38329317 English_West-Midlands 1.65987951 Dutch_South-Holland 1.97643619 English_East 2.12624081 English_Southwest 2.32295071 Welsh_South 2.34354432 English_Yorkshire 2.35070202 English_Lancashire 2.61597018 Dutch_North-Brabant 2.67007491 Scottish_East 2.75889471 Cornish 2.81682445 German_Westphalia 2.83594781 Scottish_North-Highlands 2.84241095 Scottish_Northeast 2.94154721 British_Ulster 3.08535249 German_Lower_Saxony_South 3.29047109 Scottish_Orkney 3.30099985 Dutch_Gelderland Target: US_Utah(n=22) Distance: 74.1125% / 0.74112508 | ADC: 0.5x RC 66.4 English_Southeast 18.0 German_Westphalia 15.6 Welsh_South Target: US_Utah(n=22) Distance: 46.5525% / 0.46552523 | ADC: 0.25x RC 40.2 Welsh_South 34.6 English_Southeast 20.0 Dutch_South-Holland 3.6 German_County_Glatz 1.2 German_Westphalia 0.4 Turkish_Meskheti
06-29-2022, 08:50 PM
Damião de Góis

Ancestry raw data:

Distance to: Gil_Vicente
8.15785511 Portuguese
8.66092951 Spanish_Peri-Barcelona
8.79903972 Portuguese_Azores
8.90801325 Spanish_Barcelones
8.95231255 Spanish_Penedes
9.29678977 Spanish
9.38055435 Spanish_Mallorca
9.42213882 Spanish_Lleida
9.61866935 Spanish_Camp_de_Tarragona
9.78089975 Spanish_Baleares
10.05740026 Spanish_Girona
10.08746747 Spanish_Terres_de_l'Ebre
10.13147571 Spanish_Alacant
10.42209192 Spanish_Catalunya_Central
10.70689964 Spanish_Valencia
10.71199795 Spanish_Galicia
10.83631746 French_Provence
11.17006267 Spanish_Canarias
11.23773999 Spanish_Eivissa
11.37336801 Spanish_Pirineu
12.03107643 French_Central
12.04056892 Spanish_Valencia
12.20528574 Spanish_Andalusia
12.65005138 Italian_Aosta
12.82727173 Spanish_Castello

Target: Gil_Vicente
Distance: 557.8347% / 5.57834734 | ADC: 0.25x RC
49.8 Spanish_Valencia
33.6 Swiss_Italian
6.2 Spanish_Baleares
5.4 Mozabite
4.2 German_Rhineland-Palatinate_East_of_Rhine
0.8 German_Brandenburg_outlier(Beeskow)

Target: Gil_Vicente
Distance: 556.7783% / 5.56778321
49.4 Spanish_Valencia
32.2 Swiss_Italian
7.8 Spanish_Baleares
5.4 Mozabite
3.4 German_Rhineland-Palatinate_East_of_Rhine
0.8 Austrian_Salzburg-Upper_Austria
0.6 Darginian
0.4 German_Brandenburg_outlier(Beeskow)
07-11-2022, 05:18 PM
J. Ketch

English-born family friend with ancestry from Lancashire and Yorkshire.

Code:

Pauline(English),0,0,0.06,2.14,0,8.69,0,0,4.37,0,4.05,0,0,12.09,7.79,14.03,0,10.98,0,0,0,14.22,3.08,16.91,0,0,0,0,0,0,0,0,1.57,0,0,0

Distance to: Pauline(English)
5.69214371 Dutch_South
7.24668200 Flemish
7.28815477 Afrikaner
7.29971917 English_Southeast
7.54383855 French_Normandy
7.59273995 English_East-Midlands
7.65397282 English
7.68083329 German_Rhineland-Palatinate
7.72255139 English_Lancashire
7.75394093 English_West-Midlands
7.80314039 English_East
8.22869978 Dutch
8.30180703 English_Northeast
8.33519646 Dutch_Central
8.57359901 French_Hauts-de-France
8.60810664 English_Yorkshire
8.67589188 German_Rhineland-Palatinate_East_of_Rhine
8.69511357 English_Southwest
9.25554428 French_Brittany
9.38090614 Walloon
9.42085983 British_Ulster
9.66198737 French_Northeast
9.70419497 Scottish
9.76739474 German_Hesse_South
9.93594485 German_South

Target: Pauline(English)
Distance: 5.1640% / 5.16396668 | ADC: 0.25x RC
40.9 Dutch_South
26.9 English_Lancashire
20.4 French_Northeast
9.0 German_Rhineland-Palatinate
2.8 Finnish_Northeast

Target: Pauline(English)
Distance: 5.4851% / 5.48512265 | R2P | ADC: 0.25x RC
98.0 Dutch_South
2.0 Finnish_Northeast

Target: Pauline(English)
Distance: 5.2523% / 5.25230186 | R3P | ADC: 0.25x RC
91.2 Dutch_South
6.2 Spanish_Valencia
2.6 Finnish_Northeast

Distance to: Pauline(English)
5.48512265 98.00% Dutch_South + 2.00% Finnish_Northeast
5.55453842 98.20% Dutch_South + 1.80% Finnish
5.56587653 86.80% Dutch_South + 13.20% French_Northeast
5.58632048 98.00% Dutch_South + 2.00% Finnish_Southwest
5.59283896 96.00% Dutch_South + 4.00% Spanish_Valencia
5.60162526 83.80% Dutch_South + 16.20% German_Rhineland-Palatinate
5.60258437 96.60% Dutch_South + 3.40% Spanish_Cantabria
5.60300686 98.20% Dutch_South + 1.80% Saami_Norway
5.60346585 98.40% Dutch_South + 1.60% Saami
5.61199263 98.60% Dutch_South + 1.40% Finnish_Southeast_Ingria
07-11-2022, 06:09 PM
JamesBond007

Quote:

Originally Posted by Creoda

English-born family friend with ancestry from Lancashire and Yorkshire.

Code:

Pauline(English),0,0,0.06,2.14,0,8.69,0,0,4.37,0,4.05,0,0,12.09,7.79,14.03,0,10.98,0,0,0,14.22,3.08,16.91,0,0,0,0,0,0,0,0,1.57,0,0,0

Distance to: Pauline(English)
5.69214371 Dutch_South
7.24668200 Flemish
7.28815477 Afrikaner
7.29971917 English_Southeast
7.54383855 French_Normandy
7.59273995 English_East-Midlands
7.65397282 English
7.68083329 German_Rhineland-Palatinate
7.72255139 English_Lancashire
7.75394093 English_West-Midlands
7.80314039 English_East
8.22869978 Dutch
8.30180703 English_Northeast
8.33519646 Dutch_Central
8.57359901 French_Hauts-de-France
8.60810664 English_Yorkshire
8.67589188 German_Rhineland-Palatinate_East_of_Rhine
8.69511357 English_Southwest
9.25554428 French_Brittany
9.38090614 Walloon
9.42085983 British_Ulster
9.66198737 French_Northeast
9.70419497 Scottish
9.76739474 German_Hesse_South
9.93594485 German_South

Target: Pauline(English)
Distance: 5.1640% / 5.16396668 | ADC: 0.25x RC
40.9 Dutch_South
26.9 English_Lancashire
20.4 French_Northeast
9.0 German_Rhineland-Palatinate
2.8 Finnish_Northeast

Target: Pauline(English)
Distance: 5.4851% / 5.48512265 | R2P | ADC: 0.25x RC
98.0 Dutch_South
2.0 Finnish_Northeast

Target: Pauline(English)
Distance: 5.2523% / 5.25230186 | R3P | ADC: 0.25x RC
91.2 Dutch_South
6.2 Spanish_Valencia
2.6 Finnish_Northeast

Distance to: Pauline(English)
5.48512265 98.00% Dutch_South + 2.00% Finnish_Northeast
5.55453842 98.20% Dutch_South + 1.80% Finnish
5.56587653 86.80% Dutch_South + 13.20% French_Northeast
5.58632048 98.00% Dutch_South + 2.00% Finnish_Southwest
5.59283896 96.00% Dutch_South + 4.00% Spanish_Valencia
5.60162526 83.80% Dutch_South + 16.20% German_Rhineland-Palatinate
5.60258437 96.60% Dutch_South + 3.40% Spanish_Cantabria
5.60300686 98.20% Dutch_South + 1.80% Saami_Norway
5.60346585 98.40% Dutch_South + 1.60% Saami
5.61199263 98.60% Dutch_South + 1.40% Finnish_Southeast_Ingria

So, Dutch can be a proxy for English since the English are cut from the same clothe ?

Distance to: Kevin
8.42597175 Dutch_North
8.83883476 Dutch
8.95711449 German_Northwest
8.98978865 German_Schleswig-Holstein
9.06988423 German_Westphalia
9.21090658 Dutch_Central
9.25525797 German_Lower_Saxony_North
9.45638937 German_Lower_Saxony_South
9.70164934 English_Yorkshire
10.28704525 English_Northeast
10.32430627 English_West-Midlands
10.33883939 English_East-Midlands
10.40408093 Scottish
10.51236891 Icelandic
10.52556412 Danish
10.55809642 English
10.69670510 Scottish_East
10.74750204 English_Southeast
10.89671051 British_Ulster
10.93723457 English_Lancashire
10.95962134 Scottish_Highlands
11.02418251 Dutch_South
11.45741245 English_East
11.49646467 Cornish
11.66279555 Welsh

Target: Kevin
Distance: 697.2313% / 6.97231250 | R3P
80.8 Dutch_North
15.6 Austrian_Tyrol
3.6 Brahui

Target: Kevin
Distance: 694.8069% / 6.94806875 | R4P
78.2 Dutch_North
13.0 Austrian_Tyrol
5.2 German_Saxony-Anhalt_South
3.6 Brahui

Target: Kevin
Distance: 689.5382% / 6.89538211 | ADC: 0.5x RC
70.0 Dutch_North
9.4 Austrian_Tyrol
9.0 Cornish
7.8 German_Saxony-Anhalt_South
2.0 Brahui
1.8 Pashtun_Kurram

Target: Kevin
Distance: 689.3088% / 6.89308841
69.8 Dutch_North
9.2 Austrian_Tyrol
9.2 Cornish
7.8 German_Saxony-Anhalt_South
2.2 Pashtun_Kurram
1.8 Makrani

^Not sure about Brahui, Pashtun and makrani but it is possible I guess
07-11-2022, 06:33 PM
JamesBond007

Some of my K36 report from Lmgenetics :

https://i.postimg.cc/FRMMmwgz/Polish...-132335532.png

https://i.postimg.cc/bJt563ch/Screen...711-132110.png
07-25-2022, 12:49 PM
Ajeje Brazorf

Just out of curiosity.

Eurogenes K36 refs

Spoiler!

Code:

Amerindian Colombian_HGDP00702 0 0 0 -9 Amerindian Colombian_HGDP00704 0 0 0 -9 Amerindian Colombian_HGDP00710 0 0 0 -9 Amerindian Colombian_HGDP00970 0 0 0 -9 Amerindian Karitiana_HGDP01003 0 0 0 -9 Amerindian Karitiana_HGDP01006 0 0 0 -9 Amerindian Karitiana_HGDP01009 0 0 0 -9 Amerindian Karitiana_HGDP01013 0 0 0 -9 Amerindian Karitiana_HGDP01014 0 0 0 -9 Amerindian Karitiana_HGDP01018 0 0 0 -9 Amerindian Mayan_HGDP00855 0 0 0 -9 Amerindian Mayan_HGDP00857 0 0 0 -9 Amerindian Mayan_HGDP00864 0 0 0 -9 Amerindian Mayan_HGDP00865 0 0 0 -9 Amerindian Peruvian_HG01572 0 0 0 -9 Amerindian Peruvian_HG01920 0 0 0 -9 Amerindian Peruvian_HG01926 0 0 0 -9 Amerindian Peruvian_HG01951 0 0 0 -9 Amerindian Peruvian_HG01968 0 0 0 -9 Amerindian Pima_HGDP01044 0 0 0 -9 Amerindian Pima_HGDP01047 0 0 0 -9 Amerindian Pima_HGDP01051 0 0 0 -9 Amerindian Pima_HGDP01053 0 0 0 -9 Amerindian Pima_HGDP01056 0 0 0 -9 Amerindian Pima_HGDP01057 0 0 0 -9 Amerindian Pima_HGDP01059 0 0 0 -9 Amerindian Surui_HGDP00845 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Sindhi_HGDP00199 0 0 0 -9 South_Central_Asian Sindhi_HGDP00201 0 0 0 -9 South_Central_Asian Sindhi_HGDP00205 0 0 0 -9 South_Central_Asian Sindhi_HGDP00206 0 0 0 -9 South_Central_Asian Sindhi_HGDP00208 0 0 0 -9 South_Chinese Dai_HGDP01307 0 0 0 -9 South_Chinese Dai_HGDP01308 0 0 0 -9 South_Chinese Dai_HGDP01309 0 0 0 -9 South_Chinese Dai_HGDP01310 0 0 0 -9 South_Chinese Dai_HGDP01311 0 0 0 -9 South_Chinese Dai_HGDP01312 0 0 0 -9 South_Chinese Dai_HGDP01313 0 0 0 -9 South_Chinese Dai_HGDP01314 0 0 0 -9 South_Chinese Dai_HGDP01315 0 0 0 -9 South_Chinese Dai_HGDP01316 0 0 0 -9 South_Chinese South_Han_Chinese_HG00403 0 0 0 -9 South_Chinese South_Han_Chinese_HG00404 0 0 0 -9 South_Chinese South_Han_Chinese_HG00406 0 0 0 -9 South_Chinese South_Han_Chinese_HG00407 0 0 0 -9 South_Chinese South_Han_Chinese_HG00419 0 0 0 -9 South_Chinese South_Han_Chinese_HG00421 0 0 0 -9 South_Chinese South_Han_Chinese_HG00422 0 0 0 -9 South_Chinese South_Han_Chinese_HG00427 0 0 0 -9 South_Chinese South_Han_Chinese_HG00428 0 0 0 -9 South_Chinese South_Han_Chinese_HG00436 0 0 0 -9 South_Chinese South_Han_Chinese_HG00437 0 0 0 -9 South_Chinese South_Han_Chinese_HG00442 0 0 0 -9 South_Chinese South_Han_Chinese_HG00443 0 0 0 -9 South_Chinese South_Han_Chinese_HG00445 0 0 0 -9 South_Chinese South_Han_Chinese_HG00446 0 0 0 -9 South_Chinese South_Han_Chinese_HG00448 0 0 0 -9 South_Chinese South_Han_Chinese_HG00449 0 0 0 -9 South_Chinese South_Han_Chinese_HG00451 0 0 0 -9 South_Chinese South_Han_Chinese_HG00452 0 0 0 -9 South_Chinese South_Han_Chinese_HG00457 0 0 0 -9 South_Chinese South_Han_Chinese_HG00458 0 0 0 -9 South_Chinese South_Han_Chinese_HG00463 0 0 0 -9 South_Chinese South_Han_Chinese_HG00464 0 0 0 -9 South_Chinese South_Han_Chinese_HG00472 0 0 0 -9 South_Chinese South_Han_Chinese_HG00473 0 0 0 -9 South_Chinese South_Han_Chinese_HG00476 0 0 0 -9 South_Chinese South_Han_Chinese_HG00478 0 0 0 -9 South_Chinese South_Han_Chinese_HG00479 0 0 0 -9 South_Chinese South_Han_Chinese_HG00500 0 0 0 -9 South_Chinese South_Han_Chinese_HG00513 0 0 0 -9 South_Chinese South_Han_Chinese_HG00524 0 0 0 -9 South_Chinese South_Han_Chinese_HG00525 0 0 0 -9 South_Chinese South_Han_Chinese_HG00530 0 0 0 -9 South_Chinese South_Han_Chinese_HG00531 0 0 0 -9 South_Chinese South_Han_Chinese_HG00533 0 0 0 -9 South_Chinese South_Han_Chinese_HG00534 0 0 0 -9 South_Chinese South_Han_Chinese_HG00536 0 0 0 -9 South_Chinese South_Han_Chinese_HG00537 0 0 0 -9 South_Chinese South_Han_Chinese_HG00542 0 0 0 -9 South_Chinese South_Han_Chinese_HG00543 0 0 0 -9 South_Chinese South_Han_Chinese_HG00556 0 0 0 -9 South_Chinese South_Han_Chinese_HG00557 0 0 0 -9 South_Chinese South_Han_Chinese_HG00559 0 0 0 -9 South_Chinese South_Han_Chinese_HG00560 0 0 0 -9 South_Chinese South_Han_Chinese_HG00565 0 0 0 -9 South_Chinese South_Han_Chinese_HG00566 0 0 0 -9 South_Chinese South_Han_Chinese_HG00580 0 0 0 -9 South_Chinese South_Han_Chinese_HG00583 0 0 0 -9 South_Chinese South_Han_Chinese_HG00589 0 0 0 -9 South_Chinese South_Han_Chinese_HG00590 0 0 0 -9 South_Chinese South_Han_Chinese_HG00592 0 0 0 -9 South_Chinese South_Han_Chinese_HG00593 0 0 0 -9 South_Chinese South_Han_Chinese_HG00595 0 0 0 -9 South_Chinese South_Han_Chinese_HG00596 0 0 0 -9 South_Chinese South_Han_Chinese_HG00607 0 0 0 -9 South_Chinese South_Han_Chinese_HG00608 0 0 0 -9 South_Chinese South_Han_Chinese_HG00610 0 0 0 -9 South_Chinese South_Han_Chinese_HG00611 0 0 0 -9 South_Chinese South_Han_Chinese_HG00613 0 0 0 -9 South_Chinese South_Han_Chinese_HG00614 0 0 0 -9 South_Chinese South_Han_Chinese_HG00619 0 0 0 -9 South_Chinese South_Han_Chinese_HG00620 0 0 0 -9 South_Chinese South_Han_Chinese_HG00625 0 0 0 -9 South_Chinese South_Han_Chinese_HG00626 0 0 0 -9 South_Chinese South_Han_Chinese_HG00628 0 0 0 -9 South_Chinese South_Han_Chinese_HG00629 0 0 0 -9 South_Chinese South_Han_Chinese_HG00634 0 0 0 -9 South_Chinese South_Han_Chinese_HG00650 0 0 0 -9 South_Chinese South_Han_Chinese_HG00651 0 0 0 -9 South_Chinese South_Han_Chinese_HG00653 0 0 0 -9 South_Chinese South_Han_Chinese_HG00654 0 0 0 -9 South_Chinese South_Han_Chinese_HG00656 0 0 0 -9 South_Chinese South_Han_Chinese_HG00657 0 0 0 -9 Volga-Ural Chuvash_GSM536729 0 0 0 -9 Volga-Ural Chuvash_GSM536730 0 0 0 -9 Volga-Ural Chuvash_GSM536732 0 0 0 -9 Volga-Ural Chuvash_GSM536733 0 0 0 -9 Volga-Ural Chuvash_GSM536734 0 0 0 -9 Volga-Ural Chuvash_GSM536735 0 0 0 -9 Volga-Ural Chuvash_GSM536736 0 0 0 -9 Volga-Ural Chuvash_GSM536737 0 0 0 -9 Volga-Ural Chuvash_GSM536738 0 0 0 -9 Volga-Ural Chuvash_GSM536739 0 0 0 -9 Volga-Ural Chuvash_GSM536740 0 0 0 -9 Volga-Ural Chuvash_GSM536741 0 0 0 -9 Volga-Ural Chuvash_GSM536742 0 0 0 -9 Volga-Ural Chuvash_GSM536743 0 0 0 -9 Volga-Ural Chuvash_GSM536744 0 0 0 -9 Volga-Ural Chuvash_GSM536745 0 0 0 -9 West_African Mandenka_HGDP00904 0 0 0 -9 West_African Mandenka_HGDP00905 0 0 0 -9 West_African Mandenka_HGDP00906 0 0 0 -9 West_African Mandenka_HGDP00907 0 0 0 -9 West_African Mandenka_HGDP00908 0 0 0 -9 West_African Mandenka_HGDP00909 0 0 0 -9 West_African Mandenka_HGDP00910 0 0 0 -9 West_African Mandenka_HGDP00911 0 0 0 -9 West_African Mandenka_HGDP00912 0 0 0 -9 West_African Mandenka_HGDP00915 0 0 0 -9 West_African Mandenka_HGDP00917 0 0 0 -9 West_African Mandenka_HGDP00918 0 0 0 -9 West_African Mandenka_HGDP01199 0 0 0 -9 West_African Mandenka_HGDP01201 0 0 0 -9 West_African Mandenka_HGDP01202 0 0 0 -9 West_African Mandenka_HGDP01283 0 0 0 -9 West_African Mandenka_HGDP01284 0 0 0 -9 West_African Mandenka_HGDP01286 0 0 0 -9 West_African Yoruba_NA18486 0 0 0 -9 West_African Yoruba_NA18487 0 0 0 -9 West_African Yoruba_NA18488 0 0 0 -9 West_African Yoruba_NA18489 0 0 0 -9 West_African Yoruba_NA18498 0 0 0 -9 West_African Yoruba_NA18499 0 0 0 -9 West_African Yoruba_NA18501 0 0 0 -9 West_African Yoruba_NA18504 0 0 0 -9 West_African Yoruba_NA18505 0 0 0 -9 West_African Yoruba_NA18507 0 0 0 -9 West_African Yoruba_NA18508 0 0 0 -9 West_African Yoruba_NA18510 0 0 0 -9 West_African Yoruba_NA18511 0 0 0 -9 West_African Yoruba_NA18516 0 0 0 -9 West_African Yoruba_NA18517 0 0 0 -9 West_African Yoruba_NA18519 0 0 0 -9 West_African Yoruba_NA18852 0 0 0 -9 West_African Yoruba_NA18853 0 0 0 -9 West_African Yoruba_NA18857 0 0 0 -9 West_African Yoruba_NA18858 0 0 0 -9 West_African Yoruba_NA18859 0 0 0 -9 West_African Yoruba_NA18861 0 0 0 -9 West_African Yoruba_NA18862 0 0 0 -9 West_African Yoruba_NA18867 0 0 0 -9 West_African Yoruba_NA18868 0 0 0 -9 West_African Yoruba_NA18870 0 0 0 -9 West_African Yoruba_NA18871 0 0 0 -9 West_African Yoruba_NA18873 0 0 0 -9 West_African Yoruba_NA18874 0 0 0 -9 West_African Yoruba_NA18909 0 0 0 -9 West_African Yoruba_NA18910 0 0 0 -9 West_African Yoruba_NA18912 0 0 0 -9 West_African Yoruba_NA18916 0 0 0 -9 West_African Yoruba_NA18917 0 0 0 -9 West_African Yoruba_NA18923 0 0 0 -9 West_African Yoruba_NA18924 0 0 0 -9 West_African Yoruba_NA18934 0 0 0 -9 West_African Yoruba_NA19094 0 0 0 -9 West_African Yoruba_NA19095 0 0 0 -9 West_African Yoruba_NA19096 0 0 0 -9 West_African Yoruba_NA19098 0 0 0 -9 West_African Yoruba_NA19099 0 0 0 -9 West_African Yoruba_NA19101 0 0 0 -9 West_African Yoruba_NA19102 0 0 0 -9 West_African Yoruba_NA19107 0 0 0 -9 West_African Yoruba_NA19108 0 0 0 -9 West_African Yoruba_NA19113 0 0 0 -9 West_African Yoruba_NA19114 0 0 0 -9 West_African Yoruba_NA19116 0 0 0 -9 West_African Yoruba_NA19117 0 0 0 -9 West_African Yoruba_NA19118 0 0 0 -9 West_African Yoruba_NA19119 0 0 0 -9 West_African Yoruba_NA19121 0 0 0 -9 West_African Yoruba_NA19122 0 0 0 -9 West_African Yoruba_NA19127 0 0 0 -9 West_African Yoruba_NA19128 0 0 0 -9 West_African Yoruba_NA19131 0 0 0 -9 West_African Yoruba_NA19137 0 0 0 -9 West_African Yoruba_NA19138 0 0 0 -9 West_African Yoruba_NA19140 0 0 0 -9 West_African Yoruba_NA19141 0 0 0 -9 West_African Yoruba_NA19143 0 0 0 -9 West_African Yoruba_NA19144 0 0 0 -9 West_African Yoruba_NA19146 0 0 0 -9 West_African Yoruba_NA19147 0 0 0 -9 West_African Yoruba_NA19149 0 0 0 -9 West_African Yoruba_NA19150 0 0 0 -9 West_African Yoruba_NA19152 0 0 0 -9 West_African Yoruba_NA19153 0 0 0 -9 West_African Yoruba_NA19159 0 0 0 -9 West_African Yoruba_NA19160 0 0 0 -9 West_African Yoruba_NA19171 0 0 0 -9 West_African Yoruba_NA19172 0 0 0 -9 West_African Yoruba_NA19175 0 0 0 -9 West_African Yoruba_NA19176 0 0 0 -9 West_African Yoruba_NA19178 0 0 0 -9 West_African Yoruba_NA19179 0 0 0 -9 West_African Yoruba_NA19181 0 0 0 -9 West_African Yoruba_NA19182 0 0 0 -9 West_African Yoruba_NA19184 0 0 0 -9 West_African Yoruba_NA19185 0 0 0 -9 West_African Yoruba_NA19189 0 0 0 -9 West_African Yoruba_NA19190 0 0 0 -9 West_African Yoruba_NA19192 0 0 0 -9 West_African Yoruba_NA19193 0 0 0 -9 West_African Yoruba_NA19197 0 0 0 -9 West_African Yoruba_NA19198 0 0 0 -9 West_African Yoruba_NA19200 0 0 0 -9 West_African Yoruba_NA19201 0 0 0 -9 West_African Yoruba_NA19203 0 0 0 -9 West_African Yoruba_NA19204 0 0 0 -9 West_African Yoruba_NA19207 0 0 0 -9 West_African Yoruba_NA19209 0 0 0 -9 West_African Yoruba_NA19210 0 0 0 -9 West_African Yoruba_NA19213 0 0 0 -9 West_African Yoruba_NA19214 0 0 0 -9 West_African Yoruba_NA19222 0 0 0 -9 West_African Yoruba_NA19223 0 0 0 -9 West_African Yoruba_NA19225 0 0 0 -9 West_African Yoruba_NA19226 0 0 0 -9 West_African Yoruba_NA19235 0 0 0 -9 West_African Yoruba_NA19236 0 0 0 -9 West_African Yoruba_NA19238 0 0 0 -9 West_African Yoruba_NA19239 0 0 0 -9 West_African Yoruba_NA19249 0 0 0 -9 West_African Yoruba_NA19256 0 0 0 -9 West_Caucasian Abhkasian_Abhkasian107Y 0 0 0 -9 West_Caucasian Abhkasian_Abhkasian119Y 0 0 0 -9 West_Caucasian Abhkasian_Abhkasian122Y 0 0 0 -9 West_Caucasian Abhkasian_Abhkasian133Y 0 0 0 -9 West_Caucasian Abhkasian_Abhkasian135Y 0 0 0 -9 West_Caucasian Abhkasian_Abhkasian137Y 0 0 0 -9 West_Caucasian Abhkasian_Abhkasian147Y 0 0 0 -9 West_Caucasian Abhkasian_Abhkasian154Y 0 0 0 -9 West_Caucasian Abhkasian_Abhkasian24Y 0 0 0 -9 West_Caucasian Abhkasian_Abhkasian27Y 0 0 0 -9 West_Caucasian Abhkasian_Abhkasian41Y 0 0 0 -9 West_Caucasian Abhkasian_Abhkasian45Y 0 0 0 -9 West_Caucasian Abhkasian_Abhkasian53Y 0 0 0 -9 West_Caucasian Abhkasian_Abhkasian60Y 0 0 0 -9 West_Caucasian Abhkasian_Abhkasian71Y 0 0 0 -9 West_Caucasian Abhkasian_Abhkasian74Y 0 0 0 -9 West_Caucasian Abhkasian_Abhkasian85Y 0 0 0 -9 West_Caucasian Abhkasian_Abhkasian9Y 0 0 0 -9 West_Caucasian Georgian_GSM536854 0 0 0 -9 West_Caucasian Georgian_GSM536856 0 0 0 -9 West_Caucasian Georgian_GSM536857 0 0 0 -9 West_Caucasian Georgian_GSM536858 0 0 0 -9 West_Caucasian Georgian_GSM536859 0 0 0 -9 West_Caucasian Georgian_GSM536860 0 0 0 -9 West_Caucasian Georgian_GSM536861 0 0 0 -9 West_Caucasian Georgian_GSM536862 0 0 0 -9 West_Caucasian Georgian_GSM536863 0 0 0 -9 West_Caucasian Georgian_GSM536864 0 0 0 -9 West_Caucasian Georgian_GSM536866 0 0 0 -9 West_Caucasian Georgian_GSM536868 0 0 0 -9 West_Caucasian Georgian_GSM536869 0 0 0 -9 West_Caucasian Georgian_GSM536871 0 0 0 -9 West_Mediterranean Sardinian_HGDP00665 0 0 0 -9 West_Mediterranean Sardinian_HGDP00666 0 0 0 -9 West_Mediterranean Sardinian_HGDP00667 0 0 0 -9 West_Mediterranean Sardinian_HGDP00668 0 0 0 -9 West_Mediterranean Sardinian_HGDP00669 0 0 0 -9 West_Mediterranean Sardinian_HGDP00670 0 0 0 -9 West_Mediterranean Sardinian_HGDP00671 0 0 0 -9 West_Mediterranean Sardinian_HGDP00672 0 0 0 -9 West_Mediterranean Sardinian_HGDP00673 0 0 0 -9 West_Mediterranean Sardinian_HGDP00674 0 0 0 -9 West_Mediterranean Sardinian_HGDP01062 0 0 0 -9 West_Mediterranean Sardinian_HGDP01063 0 0 0 -9 West_Mediterranean Sardinian_HGDP01064 0 0 0 -9 West_Mediterranean Sardinian_HGDP01065 0 0 0 -9 West_Mediterranean Sardinian_HGDP01067 0 0 0 -9 West_Mediterranean Sardinian_HGDP01068 0 0 0 -9 West_Mediterranean Sardinian_HGDP01069 0 0 0 -9 West_Mediterranean Sardinian_HGDP01070 0 0 0 -9 West_Mediterranean Sardinian_HGDP01071 0 0 0 -9 West_Mediterranean Sardinian_HGDP01072 0 0 0 -9 West_Mediterranean Sardinian_HGDP01074 0 0 0 -9 West_Mediterranean Sardinian_HGDP01076 0 0 0 -9 West_Mediterranean Sardinian_HGDP01077 0 0 0 -9 West_Mediterranean Sardinian_HGDP01079 0 0 0 -9

Eurogenes K36 Fst

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Fst divergences between estimated populations: Pop0 Pop1 Pop2 Pop3 Pop4 Pop5 Pop6 Pop7 Pop8 Pop9 Pop10 Pop11 Pop12 Pop13 Pop14 Pop15 Pop16 Pop17 Pop18 Pop19 Pop20 Pop21 Pop22 Pop23 Pop24 Pop25 Pop26 Pop27 Pop28 Pop29 Pop30 Pop31 Pop32 Pop33 Pop34 Pop0 Pop1 0.145 Pop2 0.142 0.024 Pop3 0.152 0.041 0.037 Pop4 0.204 0.122 0.134 0.148 Pop5 0.138 0.032 0.026 0.028 0.138 Pop6 0.173 0.079 0.092 0.107 0.024 0.098 Pop7 0.105 0.101 0.100 0.112 0.155 0.100 0.124 Pop8 0.139 0.029 0.024 0.029 0.137 0.019 0.096 0.099 Pop9 0.103 0.098 0.096 0.108 0.154 0.095 0.123 0.012 0.095 Pop10 0.136 0.035 0.029 0.030 0.139 0.016 0.099 0.099 0.019 0.094 Pop11 0.140 0.015 0.014 0.030 0.126 0.021 0.084 0.097 0.018 0.092 0.024 Pop12 0.127 0.035 0.029 0.030 0.136 0.017 0.096 0.089 0.019 0.084 0.014 0.024 Pop13 0.129 0.037 0.030 0.030 0.138 0.017 0.098 0.091 0.020 0.086 0.015 0.026 0.013 Pop14 0.140 0.032 0.027 0.027 0.139 0.018 0.098 0.102 0.019 0.097 0.019 0.021 0.019 0.019 Pop15 0.137 0.024 0.020 0.019 0.132 0.013 0.090 0.097 0.014 0.093 0.015 0.013 0.016 0.015 0.012 Pop16 0.113 0.102 0.101 0.113 0.155 0.101 0.125 0.013 0.100 0.023 0.100 0.097 0.091 0.093 0.103 0.098 Pop17 0.138 0.021 0.016 0.022 0.132 0.013 0.090 0.097 0.013 0.093 0.015 0.010 0.016 0.017 0.013 0.006 0.098 Pop18 0.110 0.089 0.088 0.101 0.145 0.089 0.114 0.020 0.088 0.028 0.088 0.085 0.079 0.081 0.090 0.086 0.012 0.085 Pop19 0.136 0.013 0.014 0.031 0.115 0.021 0.074 0.092 0.019 0.088 0.024 0.007 0.024 0.026 0.021 0.014 0.093 0.011 0.081 Pop20 0.151 0.033 0.040 0.050 0.103 0.042 0.065 0.105 0.041 0.102 0.045 0.031 0.045 0.046 0.042 0.033 0.106 0.032 0.094 0.027 Pop21 0.138 0.032 0.026 0.025 0.138 0.015 0.098 0.101 0.018 0.096 0.016 0.021 0.016 0.015 0.015 0.011 0.101 0.012 0.089 0.021 0.042 Pop22 0.127 0.023 0.015 0.030 0.128 0.018 0.088 0.086 0.017 0.082 0.019 0.012 0.018 0.019 0.019 0.014 0.088 0.011 0.075 0.012 0.037 0.017 Pop23 0.137 0.031 0.025 0.025 0.138 0.014 0.097 0.099 0.017 0.094 0.015 0.020 0.015 0.014 0.014 0.010 0.100 0.011 0.088 0.020 0.041 0.011 0.016 Pop24 0.151 0.040 0.054 0.069 0.049 0.060 0.021 0.103 0.058 0.100 0.063 0.044 0.061 0.062 0.060 0.052 0.103 0.051 0.092 0.037 0.036 0.060 0.051 0.060 Pop25 0.194 0.151 0.152 0.164 0.197 0.153 0.168 0.132 0.152 0.134 0.152 0.147 0.146 0.148 0.154 0.149 0.132 0.149 0.119 0.143 0.154 0.152 0.142 0.151 0.149 Pop26 0.186 0.094 0.106 0.121 0.049 0.111 0.033 0.137 0.110 0.136 0.113 0.098 0.110 0.112 0.112 0.104 0.138 0.104 0.127 0.089 0.081 0.111 0.101 0.111 0.036 0.180 Pop27 0.230 0.151 0.162 0.177 0.061 0.167 0.057 0.183 0.166 0.181 0.168 0.155 0.165 0.166 0.167 0.160 0.183 0.161 0.172 0.145 0.132 0.167 0.157 0.166 0.085 0.221 0.078 Pop28 0.094 0.094 0.091 0.102 0.154 0.089 0.122 0.027 0.089 0.019 0.087 0.088 0.076 0.078 0.091 0.087 0.039 0.087 0.040 0.084 0.099 0.089 0.076 0.088 0.098 0.137 0.135 0.181 Pop29 0.117 0.049 0.045 0.061 0.124 0.049 0.089 0.065 0.048 0.064 0.048 0.042 0.044 0.045 0.050 0.046 0.065 0.044 0.052 0.039 0.059 0.048 0.035 0.047 0.061 0.119 0.102 0.152 0.062 Pop30 0.117 0.030 0.024 0.041 0.120 0.028 0.083 0.073 0.027 0.069 0.028 0.021 0.025 0.026 0.029 0.024 0.074 0.022 0.061 0.019 0.043 0.027 0.014 0.026 0.050 0.128 0.096 0.149 0.065 0.017 Pop31 0.110 0.104 0.103 0.115 0.157 0.103 0.126 0.008 0.102 0.017 0.101 0.099 0.092 0.094 0.104 0.100 0.009 0.100 0.016 0.095 0.108 0.103 0.089 0.102 0.105 0.134 0.139 0.184 0.034 0.067 0.075 Pop32 0.123 0.049 0.044 0.048 0.141 0.035 0.103 0.080 0.037 0.075 0.033 0.040 0.028 0.029 0.037 0.034 0.084 0.034 0.074 0.039 0.058 0.034 0.032 0.033 0.070 0.146 0.116 0.169 0.066 0.049 0.034 0.084 Pop33 0.205 0.123 0.134 0.149 0.031 0.140 0.027 0.156 0.138 0.155 0.140 0.127 0.137 0.139 0.140 0.132 0.156 0.133 0.146 0.116 0.101 0.139 0.129 0.139 0.056 0.197 0.057 0.047 0.155 0.125 0.122 0.158 0.142 Pop34 0.141 0.028 0.020 0.038 0.135 0.027 0.095 0.100 0.025 0.095 0.029 0.017 0.029 0.030 0.028 0.022 0.100 0.018 0.088 0.017 0.043 0.027 0.013 0.026 0.057 0.152 0.108 0.164 0.090 0.045 0.023 0.102 0.043 0.136 Pop35 0.156 0.035 0.033 0.034 0.146 0.029 0.104 0.114 0.028 0.109 0.032 0.025 0.034 0.034 0.028 0.019 0.114 0.019 0.102 0.026 0.044 0.028 0.030 0.027 0.065 0.165 0.118 0.174 0.105 0.063 0.042 0.116 0.052 0.147 0.036
07-25-2022, 02:22 PM
gixajo

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Originally Posted by Ajeje Brazorf

J

Eurogenes K36 Fst

Spoiler!

Code:

Fst divergences between estimated populations: Pop0 Pop1 Pop2 Pop3 Pop4 Pop5 Pop6 Pop7 Pop8 Pop9 Pop10 Pop11 Pop12 Pop13 Pop14 Pop15 Pop16 Pop17 Pop18 Pop19 Pop20 Pop21 Pop22 Pop23 Pop24 Pop25 Pop26 Pop27 Pop28 Pop29 Pop30 Pop31 Pop32 Pop33 Pop34 Pop0 Pop1 0.145 Pop2 0.142 0.024 Pop3 0.152 0.041 0.037 Pop4 0.204 0.122 0.134 0.148 Pop5 0.138 0.032 0.026 0.028 0.138 Pop6 0.173 0.079 0.092 0.107 0.024 0.098 Pop7 0.105 0.101 0.100 0.112 0.155 0.100 0.124 Pop8 0.139 0.029 0.024 0.029 0.137 0.019 0.096 0.099 Pop9 0.103 0.098 0.096 0.108 0.154 0.095 0.123 0.012 0.095 Pop10 0.136 0.035 0.029 0.030 0.139 0.016 0.099 0.099 0.019 0.094 Pop11 0.140 0.015 0.014 0.030 0.126 0.021 0.084 0.097 0.018 0.092 0.024 Pop12 0.127 0.035 0.029 0.030 0.136 0.017 0.096 0.089 0.019 0.084 0.014 0.024 Pop13 0.129 0.037 0.030 0.030 0.138 0.017 0.098 0.091 0.020 0.086 0.015 0.026 0.013 Pop14 0.140 0.032 0.027 0.027 0.139 0.018 0.098 0.102 0.019 0.097 0.019 0.021 0.019 0.019 Pop15 0.137 0.024 0.020 0.019 0.132 0.013 0.090 0.097 0.014 0.093 0.015 0.013 0.016 0.015 0.012 Pop16 0.113 0.102 0.101 0.113 0.155 0.101 0.125 0.013 0.100 0.023 0.100 0.097 0.091 0.093 0.103 0.098 Pop17 0.138 0.021 0.016 0.022 0.132 0.013 0.090 0.097 0.013 0.093 0.015 0.010 0.016 0.017 0.013 0.006 0.098 Pop18 0.110 0.089 0.088 0.101 0.145 0.089 0.114 0.020 0.088 0.028 0.088 0.085 0.079 0.081 0.090 0.086 0.012 0.085 Pop19 0.136 0.013 0.014 0.031 0.115 0.021 0.074 0.092 0.019 0.088 0.024 0.007 0.024 0.026 0.021 0.014 0.093 0.011 0.081 Pop20 0.151 0.033 0.040 0.050 0.103 0.042 0.065 0.105 0.041 0.102 0.045 0.031 0.045 0.046 0.042 0.033 0.106 0.032 0.094 0.027 Pop21 0.138 0.032 0.026 0.025 0.138 0.015 0.098 0.101 0.018 0.096 0.016 0.021 0.016 0.015 0.015 0.011 0.101 0.012 0.089 0.021 0.042 Pop22 0.127 0.023 0.015 0.030 0.128 0.018 0.088 0.086 0.017 0.082 0.019 0.012 0.018 0.019 0.019 0.014 0.088 0.011 0.075 0.012 0.037 0.017 Pop23 0.137 0.031 0.025 0.025 0.138 0.014 0.097 0.099 0.017 0.094 0.015 0.020 0.015 0.014 0.014 0.010 0.100 0.011 0.088 0.020 0.041 0.011 0.016 Pop24 0.151 0.040 0.054 0.069 0.049 0.060 0.021 0.103 0.058 0.100 0.063 0.044 0.061 0.062 0.060 0.052 0.103 0.051 0.092 0.037 0.036 0.060 0.051 0.060 Pop25 0.194 0.151 0.152 0.164 0.197 0.153 0.168 0.132 0.152 0.134 0.152 0.147 0.146 0.148 0.154 0.149 0.132 0.149 0.119 0.143 0.154 0.152 0.142 0.151 0.149 Pop26 0.186 0.094 0.106 0.121 0.049 0.111 0.033 0.137 0.110 0.136 0.113 0.098 0.110 0.112 0.112 0.104 0.138 0.104 0.127 0.089 0.081 0.111 0.101 0.111 0.036 0.180 Pop27 0.230 0.151 0.162 0.177 0.061 0.167 0.057 0.183 0.166 0.181 0.168 0.155 0.165 0.166 0.167 0.160 0.183 0.161 0.172 0.145 0.132 0.167 0.157 0.166 0.085 0.221 0.078 Pop28 0.094 0.094 0.091 0.102 0.154 0.089 0.122 0.027 0.089 0.019 0.087 0.088 0.076 0.078 0.091 0.087 0.039 0.087 0.040 0.084 0.099 0.089 0.076 0.088 0.098 0.137 0.135 0.181 Pop29 0.117 0.049 0.045 0.061 0.124 0.049 0.089 0.065 0.048 0.064 0.048 0.042 0.044 0.045 0.050 0.046 0.065 0.044 0.052 0.039 0.059 0.048 0.035 0.047 0.061 0.119 0.102 0.152 0.062 Pop30 0.117 0.030 0.024 0.041 0.120 0.028 0.083 0.073 0.027 0.069 0.028 0.021 0.025 0.026 0.029 0.024 0.074 0.022 0.061 0.019 0.043 0.027 0.014 0.026 0.050 0.128 0.096 0.149 0.065 0.017 Pop31 0.110 0.104 0.103 0.115 0.157 0.103 0.126 0.008 0.102 0.017 0.101 0.099 0.092 0.094 0.104 0.100 0.009 0.100 0.016 0.095 0.108 0.103 0.089 0.102 0.105 0.134 0.139 0.184 0.034 0.067 0.075 Pop32 0.123 0.049 0.044 0.048 0.141 0.035 0.103 0.080 0.037 0.075 0.033 0.040 0.028 0.029 0.037 0.034 0.084 0.034 0.074 0.039 0.058 0.034 0.032 0.033 0.070 0.146 0.116 0.169 0.066 0.049 0.034 0.084 Pop33 0.205 0.123 0.134 0.149 0.031 0.140 0.027 0.156 0.138 0.155 0.140 0.127 0.137 0.139 0.140 0.132 0.156 0.133 0.146 0.116 0.101 0.139 0.129 0.139 0.056 0.197 0.057 0.047 0.155 0.125 0.122 0.158 0.142 Pop34 0.141 0.028 0.020 0.038 0.135 0.027 0.095 0.100 0.025 0.095 0.029 0.017 0.029 0.030 0.028 0.022 0.100 0.018 0.088 0.017 0.043 0.027 0.013 0.026 0.057 0.152 0.108 0.164 0.090 0.045 0.023 0.102 0.043 0.136 Pop35 0.156 0.035 0.033 0.034 0.146 0.029 0.104 0.114 0.028 0.109 0.032 0.025 0.034 0.034 0.028 0.019 0.114 0.019 0.102 0.026 0.044 0.028 0.030 0.027 0.065 0.165 0.118 0.174 0.105 0.063 0.042 0.116 0.052 0.147 0.036

But which populations are exactly pop1, pop2...pop35?
07-25-2022, 03:20 PM
Ajeje Brazorf

Quote:

Originally Posted by gixajo

But which populations are exactly pop1, pop2...pop35?

Eurogenes K36 fst with modern populations and users. Run it on R.

Code:

t=read.csv("https://pastebin.com/raw/Eicw7SWf",row.names=1,check.names=F) # K36 updated t=t/100 fst=as.matrix(as.dist(read.csv(text=",Amerindian,Arabian,Armenian,Basque,Central_African,Central_Euro,East_African,East_Asian,East_Balkan,East_Central_Asian,East_Central_Euro,East_Med,Eastern_Euro,Fennoscandian,French,Iberian,Indo-Chinese,Italian,Malayan,Near_Eastern,North_African,North_Atlantic,North_Caucasian,North_Sea,Northeast_African,Oceanian,Omotic,Pygmy,Siberian,South_Asian,South_Central_Asian,South_Chinese,Volga-Ural,West_African,West_Caucasian,West_Med Amerindian,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, Arabian,0.145,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, Armenian,0.142,0.024,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, Basque,0.152,0.041,0.037,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, Central_African,0.204,0.122,0.134,0.148,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, Central_Euro,0.138,0.032,0.026,0.028,0.138,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, East_African,0.173,0.079,0.092,0.107,0.024,0.098,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, East_Asian,0.105,0.101,0.100,0.112,0.155,0.100,0.124,,,,,,,,,,,,,,,,,,,,,,,,,,,,, East_Balkan,0.139,0.029,0.024,0.029,0.137,0.019,0.096,0.099,,,,,,,,,,,,,,,,,,,,,,,,,,,, East_Central_Asian,0.103,0.098,0.096,0.108,0.154,0.095,0.123,0.012,0.095,,,,,,,,,,,,,,,,,,,,,,,,,,, East_Central_Euro,0.136,0.035,0.029,0.030,0.139,0.016,0.099,0.099,0.019,0.094,,,,,,,,,,,,,,,,,,,,,,,,,, East_Med,0.140,0.015,0.014,0.030,0.126,0.021,0.084,0.097,0.018,0.092,0.024,,,,,,,,,,,,,,,,,,,,,,,,, Eastern_Euro,0.127,0.035,0.029,0.030,0.136,0.017,0.096,0.089,0.019,0.084,0.014,0.024,,,,,,,,,,,,,,,,,,,,,,,, Fennoscandian,0.129,0.037,0.030,0.030,0.138,0.017,0.098,0.091,0.020,0.086,0.015,0.026,0.013,,,,,,,,,,,,,,,,,,,,,,, French,0.140,0.032,0.027,0.027,0.139,0.018,0.098,0.102,0.019,0.097,0.019,0.021,0.019,0.019,,,,,,,,,,,,,,,,,,,,,, Iberian,0.137,0.024,0.020,0.019,0.132,0.013,0.090,0.097,0.014,0.093,0.015,0.013,0.016,0.015,0.012,,,,,,,,,,,,,,,,,,,,, Indo-Chinese,0.113,0.102,0.101,0.113,0.155,0.101,0.125,0.013,0.100,0.023,0.100,0.097,0.091,0.093,0.103,0.098,,,,,,,,,,,,,,,,,,,, Italian,0.138,0.021,0.016,0.022,0.132,0.013,0.090,0.097,0.013,0.093,0.015,0.010,0.016,0.017,0.013,0.006,0.098,,,,,,,,,,,,,,,,,,, Malayan,0.110,0.089,0.088,0.101,0.145,0.089,0.114,0.020,0.088,0.028,0.088,0.085,0.079,0.081,0.090,0.086,0.012,0.085,,,,,,,,,,,,,,,,,, Near_Eastern,0.136,0.013,0.014,0.031,0.115,0.021,0.074,0.092,0.019,0.088,0.024,0.007,0.024,0.026,0.021,0.014,0.093,0.011,0.081,,,,,,,,,,,,,,,,, North_African,0.151,0.033,0.040,0.050,0.103,0.042,0.065,0.105,0.041,0.102,0.045,0.031,0.045,0.046,0.042,0.033,0.106,0.032,0.094,0.027,,,,,,,,,,,,,,,, North_Atlantic,0.138,0.032,0.026,0.025,0.138,0.015,0.098,0.101,0.018,0.096,0.016,0.021,0.016,0.015,0.015,0.011,0.101,0.012,0.089,0.021,0.042,,,,,,,,,,,,,,, North_Caucasian,0.127,0.023,0.015,0.030,0.128,0.018,0.088,0.086,0.017,0.082,0.019,0.012,0.018,0.019,0.019,0.014,0.088,0.011,0.075,0.012,0.037,0.017,,,,,,,,,,,,,, North_Sea,0.137,0.031,0.025,0.025,0.138,0.014,0.097,0.099,0.017,0.094,0.015,0.020,0.015,0.014,0.014,0.010,0.100,0.011,0.088,0.020,0.041,0.011,0.016,,,,,,,,,,,,, Northeast_African,0.151,0.040,0.054,0.069,0.049,0.060,0.021,0.103,0.058,0.100,0.063,0.044,0.061,0.062,0.060,0.052,0.103,0.051,0.092,0.037,0.036,0.060,0.051,0.060,,,,,,,,,,,, Oceanian,0.194,0.151,0.152,0.164,0.197,0.153,0.168,0.132,0.152,0.134,0.152,0.147,0.146,0.148,0.154,0.149,0.132,0.149,0.119,0.143,0.154,0.152,0.142,0.151,0.149,,,,,,,,,,, Omotic,0.186,0.094,0.106,0.121,0.049,0.111,0.033,0.137,0.110,0.136,0.113,0.098,0.110,0.112,0.112,0.104,0.138,0.104,0.127,0.089,0.081,0.111,0.101,0.111,0.036,0.180,,,,,,,,,, Pygmy,0.230,0.151,0.162,0.177,0.061,0.167,0.057,0.183,0.166,0.181,0.168,0.155,0.165,0.166,0.167,0.160,0.183,0.161,0.172,0.145,0.132,0.167,0.157,0.166,0.085,0.221,0.078,,,,,,,,, Siberian,0.094,0.094,0.091,0.102,0.154,0.089,0.122,0.027,0.089,0.019,0.087,0.088,0.076,0.078,0.091,0.087,0.039,0.087,0.040,0.084,0.099,0.089,0.076,0.088,0.098,0.137,0.135,0.181,,,,,,,, South_Asian,0.117,0.049,0.045,0.061,0.124,0.049,0.089,0.065,0.048,0.064,0.048,0.042,0.044,0.045,0.050,0.046,0.065,0.044,0.052,0.039,0.059,0.048,0.035,0.047,0.061,0.119,0.102,0.152,0.062,,,,,,, South_Central_Asian,0.117,0.030,0.024,0.041,0.120,0.028,0.083,0.073,0.027,0.069,0.028,0.021,0.025,0.026,0.029,0.024,0.074,0.022,0.061,0.019,0.043,0.027,0.014,0.026,0.050,0.128,0.096,0.149,0.065,0.017,,,,,, South_Chinese,0.110,0.104,0.103,0.115,0.157,0.103,0.126,0.008,0.102,0.017,0.101,0.099,0.092,0.094,0.104,0.100,0.009,0.100,0.016,0.095,0.108,0.103,0.089,0.102,0.105,0.134,0.139,0.184,0.034,0.067,0.075,,,,, Volga-Ural,0.123,0.049,0.044,0.048,0.141,0.035,0.103,0.080,0.037,0.075,0.033,0.040,0.028,0.029,0.037,0.034,0.084,0.034,0.074,0.039,0.058,0.034,0.032,0.033,0.070,0.146,0.116,0.169,0.066,0.049,0.034,0.084,,,, West_African,0.205,0.123,0.134,0.149,0.031,0.140,0.027,0.156,0.138,0.155,0.140,0.127,0.137,0.139,0.140,0.132,0.156,0.133,0.146,0.116,0.101,0.139,0.129,0.139,0.056,0.197,0.057,0.047,0.155,0.125,0.122,0.158,0.142,,, West_Caucasian,0.141,0.028,0.020,0.038,0.135,0.027,0.095,0.100,0.025,0.095,0.029,0.017,0.029,0.030,0.028,0.022,0.100,0.018,0.088,0.017,0.043,0.027,0.013,0.026,0.057,0.152,0.108,0.164,0.090,0.045,0.023,0.102,0.043,0.136,, West_Med,0.156,0.035,0.033,0.034,0.146,0.029,0.104,0.114,0.028,0.109,0.032,0.025,0.034,0.034,0.028,0.019,0.114,0.019,0.102,0.026,0.044,0.028,0.030,0.027,0.065,0.165,0.118,0.174,0.105,0.063,0.042,0.116,0.052,0.147,0.036,",header=T,r=1,check=F))) fst=fst/mean(fst) t=as.matrix(t)%*%fst d=as.matrix(dist(t)) s=sort(d["_____choose a population name from the pastebin file above_____",]) cat(paste(sprintf("%.3f",s),names(s)),sep="\n")

Your distances

Code:

0.000 Gixajo(ES) 0.027 drewcastle(ES) 0.035 Polaciones(ES) 0.036 Spanish_Valencia1 0.044 Spanish_Terres_de_l'Ebre 0.044 Spanish_Pirineu 0.045 Spanish_Cantabria 0.055 Spanish_Aragon 0.058 Spanish_Lleida 0.059 Spanish_Barcelones 0.060 gixajo_mom(ES) 0.061 Spanish_Valencia2 0.061 drewcastle_gmother(ES) 0.066 Cernunnos(PT) 0.066 Spanish_Camp_de_Tarragona 0.066 Spanish_Girona 0.067 Spanish 0.068 Spanish_Andalusia 0.068 Spanish_Alacant 0.068 Spanish_Galicia 0.069 Spanish_Peri-Barcelona 0.072 gixajo_dad(ES) 0.073 Helen(ES) 0.076 dududud_mother(Fra/Sard) 0.080 Spanish_Mallorca 0.084 Spanish_Catalunya_Central 0.085 Helen_dad(ES) 0.089 Spanish_Castello 0.093 Spanish_Penedes 0.095 Enflamme 0.098 dududud(Fra+Sard) 0.100 French_South 0.101 Gallop(ES) 0.103 Spaniard_2.0 0.103 Spanish_Eivissa 0.105 Spaniard2.0_mom(ES) 0.110 papa_diddy_pop(Fra) 0.116 Noff(ES) 0.117 Viriato(PT) 0.121 gabobbler(PT) 0.122 Atlantic_Islander(PT) 0.123 Damiao_de_Gois(PT) 0.125 Spaniard2.0_dad(ES) 0.125 French_Provence 0.125 alnortedelsur_mom(Venez) 0.125 Spanish_Baleares 0.126 Gallop_father(ES) 0.131 Italian_Veneto 0.135 rafael_bro(Brazil) 0.139 Portuguese 0.140 Italian_Aosta 0.140 VidFlumina(N_Ita) 0.142 French 0.142 French_Central 0.143 French_Corsican 0.147 French_East 0.150 ViriatoGF(PT) 0.153 Portuguese_Azores 0.155 Pedro_Ruben_Mom(PT) 0.155 Swiss_Italian 0.156 Ruderico(PT) 0.157 Defcon2(ES) 0.159 Lek(Alb) 0.161 Luso(PT) 0.161 TheOldNorth(US) 0.162 Italian_Friuli 0.164 vbnetkhio(Srb) 0.166 Austrian_Tyrol 0.166 French_Northeast 0.168 Lawalye(Belg) 0.168 rafael_dad(Brazil) 0.169 Vojnik(N_Mak) 0.169 Italian_Val_Borbera 0.171 Italian_North 0.171 Basque_Spanish 0.173 noricum_sisinlaw(Aut) 0.173 rafael_mom(Brazil) 0.175 MagnusDark(Alb) 0.175 FilhoV(PT) 0.176 Ljubic(Cro) 0.177 German_Hesse_South 0.177 Laly_husband(Walloon) 0.178 German_Rhineland-Palatinate 0.178 German_Saarland 0.180 Sizzo(IT_Lombard) 0.180 Swiss_German 0.180 French_Normandy 0.181 Bained(Bul) 0.182 French_Hauts-de-France 0.182 Kouros(GR) 0.183 French_Southwest 0.185 Walloon 0.185 Albanian_Montenegro 0.185 Albanian_Kosovo 0.186 German_North_Rhine 0.187 North_Macedonian-2 0.187 dududud_father(Fra) 0.189 Tchek(Belgian) 0.189 Xila(Fra) 0.189 de_Burgh_II(US) 0.189 Nyx(French_Canadian) 0.190 North_Macedonian 0.190 Austrian_Salzburg-Upper_Austria 0.191 Austrian_Styria 0.192 PLogan(US) 0.192 Bosniensis(BH) 0.192 PT_Tagus 0.193 andre(Rou) 0.193 Albanian_North 0.194 French_Brittany 0.194 Shuffle(S_German) 0.194 WeirdLookingFellow(Rou) 0.195 sonofthedutch(NL+1/4Eng) 0.195 TheOldNorth_Mom(US) 0.195 German_Bavarian_Swabia 0.196 Jackson_mother(Eng) 0.197 Italian_Marche 0.197 PAGANE_cousin(Bul) 0.197 German_Baden-WÃ¼rttemberg 0.198 German_South 0.199 Grundig(German-American) 0.199 ljubic_uncle(Cro) 0.199 wisteria(US) 0.199 Bulgarian 0.199 Greek_Central 0.200 DacoCeltic(US) 0.200 Romanian 0.200 Rafael_Passoni(Brazil) 0.200 Montenegrin2 0.201 Eleonor(Norman) 0.201 Italian_Tuscany 0.201 Serb 0.202 Kyp_Snow_mother(DE) 0.203 German_Rhineland-Palatinate_East_of_Rhine 0.203 Romanian_Southwest 0.203 Flemish 0.203 Enr1989(N_Ita) 0.204 Norb(Eng) 0.204 German_Bavaria_proper 0.204 Moldovan 0.205 karen1300(US) 0.205 Decius(Srb) 0.206 17571imre(Hun+NL) 0.206 German_West_Bohemia 0.206 drb234(Eng) 0.207 Atlantean_Muller(IE) 0.207 Dutch_South 0.208 SwampThing26(US) 0.208 Freeroostah(GR) 0.211 Afrikaner 0.211 Romanian_Southeast 0.211 UltimatePagan(Srb) 0.211 German_North_Moravia 0.212 Albanian 0.212 Ylla(Alb) 0.212 Allenson(British-American) 0.213 Patches(Can) 0.213 Montenegrin1 0.213 Skeleton_father(US) 0.213 WhatsGoingOnBigGuy(US) 0.213 Ford(Srb) 0.213 Moldova_South 0.214 Romanian_Northwest 0.214 English_East 0.214 Gooding(US) 0.214 Bulgarian_2 0.215 DuÅ¡an(Srb) 0.215 German_Bavaria_Lower/Middle_Franconia 0.217 Jackson_gmother(Eng) 0.217 Albanian_North_Macedonia 0.217 English_Southwest 0.217 Greek_Thrace 0.217 Cornish 0.217 xripkan(GR) 0.218 English_East-Midlands 0.218 Chris596(Hun) 0.219 Corvo(IT) 0.219 Albanian_South 0.219 firemonkey(GB) 0.219 Greek_Northeast 0.220 Austrian_LowerAustria 0.220 English_Southeast 0.220 Dandelion(Flemish) 0.220 English 0.221 Greek_Central-Macedonia 0.222 knez01(Cro) 0.222 JB007(US) 0.222 German_Bavaria_Oberpfalz 0.222 German_Thuringia_Central 0.222 Stearsolina_Mom(Cro/Ger/Srb/Gre) 0.222 English_West-Midlands 0.222 German_County_Glatz 0.222 English_Lancashire 0.223 CommonSense(Srb) 0.223 Scottish_Highlands 0.224 Stearsolina(Cro) 0.224 Scottish_East 0.224 Pauline(Eng) 0.225 Stearsolina_stepdad(Cro) 0.225 Teutone(DE) 0.225 British_Ulster 0.225 DacoCeltic_mom(Irish-American) 0.225 Scottish 0.225 Moldova_Centre 0.226 English_Northeast 0.226 Irish_Ulster 0.226 someonenotyou(Hun) 0.226 Blanka_husband(Hun) 0.226 Irish 0.226 Welsh 0.226 Irish_Leinster 0.226 Romanian_Northeast 0.226 Mr.G_mother(German-American) 0.227 flooos(IE) 0.227 Austrian_Carinthia 0.227 Irish_Munster 0.227 English_Yorkshire 0.228 Greek_Euboea 0.228 Yesno(NZ) 0.228 Hrvoje(Cro/Sln) 0.228 wvwvw(GR) 0.228 Dutch 0.229 German_Saxony 0.229 Dick(Srb) 0.229 German 0.230 Dutch_Central 0.230 Croatian 0.230 Irish_Connacht 0.230 Oszkar(Hun/GB) 0.231 Austrian_Burgenland 0.231 Scottish_Orkney 0.231 noricum(Aut) 0.231 Croat_Gorski_Kotar 0.231 Sylvanas(Cro) 0.232 Scottish_Southwest 0.232 Gagauz 0.232 CommonSense_mother(Srb) 0.232 Stearsolina_Dad(Cro) 0.232 Graham(Sco) 0.232 Oneeye(US) 0.233 IceQueen(Eng) 0.233 Sharpshooter(Ire) 0.233 Jackson_gfather(Eng) 0.233 CDG(IE) 0.233 Albannach(Sco/IE) 0.234 MagnusDarkFather(Alb) 0.234 David(Cro) 0.235 EpirusDNA(GR) 0.235 Toddy_Frent(US) 0.236 Black_Wolf_mother(British-Canadian) 0.236 joannadi38(GR+EastSlav) 0.236 IonBasescul_dad(MD) 0.236 Caismeachd(Sco) 0.236 Bunalim(WestAsian+GB) 0.237 PAGANE_brother(Bul) 0.237 VlatkoVukoviÄ‡(BH) 0.238 Dick_dad(Srb) 0.238 German_Lower_Saxony_South 0.238 IonBasescul_brother(MD) 0.238 CreodaDad(IE) 0.238 noricum_mom(AUT) 0.238 GraceO'Malley(IE) 0.239 Bessarion(Cro) 0.239 Ayetooey(Srb-GB) 0.239 Catkin_mum(GB) 0.239 Slovenian 0.240 Wulf_Talented(Eng) 0.241 PAGANE(Bul) 0.241 Daki(Cro) 0.241 CreodaMum(Eng) 0.241 German_Northwest 0.241 rothaer_gchild2-1(DE) 0.242 Bosnian 0.242 Dutch_North 0.242 Creoda(IE/Eng) 0.242 German_Schleswig-Holstein 0.242 German_Westphalia 0.242 slavic_italian(US) 0.242 galychanyn(Ukr_Boyko) 0.243 GergÅ‘Grandma(Hun) 0.243 German_North_Bohemia 0.243 IonBasescul_mom(MD) 0.243 Oneeye_mother(US) 0.243 Maleficent_mother(US) 0.243 Catkin(GB) 0.244 rothaer_father(DE) 0.244 Greek_Peloponnese 0.245 manu1515(C_Ita) 0.247 Moldova_North 0.247 Gaditanian(ES) 0.247 rothaer_child2(DE) 0.248 aynora(DE) 0.248 Grace_mother(IE) 0.248 German_Saxony-Anhalt_South 0.248 Mr.G(US) 0.248 Romanian_Central 0.250 Dr.Robbotnik(US) 0.250 PAGANE_Moter(Bul) 0.250 Hungarian 0.251 Italian_Lazio 0.251 farke1(Brit.Isles+Nor) 0.252 German_Frisian 0.252 Oneeye_wife(US) 0.252 German_Thuringia_East 0.253 ph2ter_son(Cro) 0.254 ph2ter_dad(Cro) 0.254 Greek 0.254 Folcwalding(NL) 0.254 Czech_Moravia 0.254 GergÅ‘(Hun) 0.254 rothaer_brother_in_law(DE) 0.255 Tyrone_Slothrop(Anglo-Celtic_US) 0.255 Catkin_dad(GB) 0.255 German_Lower_Silesia 0.255 calxpal(Can) 0.255 Icelandic 0.255 ph2ter(Cro) 0.257 rothaer_sibling4(DE) 0.257 German_Lower_Saxony_North 0.258 Manda(Cro) 0.259 Czech 0.259 Spanish_Canarias 0.260 rothaer_mother(DE) 0.260 German_Brandenburg_Northwest 0.260 Benyzero(Hun) 0.260 Blanka(Hun) 0.260 German_Mecklenburg_Center/East 0.261 Safinator 0.261 German_Hither_Pomerania 0.261 Danish 0.261 Universe(Hun) 0.262 IonBasescul(MD) 0.262 Alessio_mother(NL) 0.262 Raedwald(Can) 0.262 Faroese 0.262 German_East 0.263 IrisSelene(Rom/Hun) 0.263 Greek_Istanbul 0.264 noricum_halfbro(Aut/Sln) 0.264 Carpathian_Rusyns 0.264 rothaer_mother_in_law(DE) 0.265 evon_granny(Nor) 0.265 Czech_Bohemia 0.266 Stears(Hun) 0.267 Loki(Boer) 0.267 Natalie(Cze) 0.268 kokeny_mom(Hun) 0.268 Norwegian 0.269 ph2ter_wife(Cro) 0.269 German_East_Prussia_Central 0.269 Nurzat(Rou/Ukr) 0.269 Slovak_2 0.269 cakmir7y_wife(Cze) 0.270 pajkosbalna(Hun) 0.270 cakmiry7(Cze) 0.271 rothaer_child6(DE) 0.271 Snkves(Swe) 0.271 rothaer_sibling3(DE) 0.272 German_Mecklenburg_West 0.272 rothaer_mat_gmother_in_law(DE) 0.272 Swedish_2 0.272 rothaer_child8(DE) 0.272 17571imremother(Hun) 0.273 rothaer_child4(DE) 0.274 evon(Nor) 0.274 Mr.G_father(Hun) 0.274 rothaer_child5(DE) 0.275 Journeyman26(IT+GR) 0.275 rothaer_mat_gfather_in_law(DE) 0.277 Ukrainian_Zakarpattia 0.278 KarolK_father(Slk) 0.278 rothaer(DE) 0.279 German_Brandenburg_outlier(Beeskow) 0.279 Italian_Apulia 0.280 Slovak 0.280 rothaer_wife2(DE) 0.281 Sikeliot(US) 0.281 German_West_Prussia 0.283 German_Farther_Pomerania 0.284 Karol_Klacansky(Slk+US) 0.284 Ukrainian_Lviv 0.286 Peterski_dad(PL) 0.286 Randomguy20(Aus) 0.286 rothaer_child1(DE) 0.288 Serb_Dalmatia 0.288 Black_Wolf(Can) 0.289 rothaer_child3(DE) 0.290 crazyladybutterfly(S_Italian) 0.290 Peterski(PL) 0.291 Swedish 0.293 Polish_Upper_Silesia 0.293 Polish_South 0.296 rothaer_child7(DE) 0.297 Greek_Andros 0.299 Abriekman 0.301 Dragoon(PL) 0.301 Polish_SE_Carpathia 0.302 Swedish_North 0.302 Pedro_Ruben_Dad(PT) 0.302 Sardinian 0.307 Polish 0.308 Pallantides(Nor) 0.308 Ajeje_Brazorf(S_Italian) 0.308 Peterski_mom(PL) 0.309 Polish_Wielkopolska 0.310 Polish_Kashubian 0.310 Greek_Cyclades 0.310 Italian_South 0.311 Ukrainian 0.311 Polish_North 0.313 Daos777 0.314 Thracian(Balkan_Turk) 0.314 Upper_Silesia 0.317 Black_Wolf_father(Ita/Fin) 0.317 Kokeny(Hun) 0.318 Polish_2 0.319 Greek_Crete 0.320 Lukasz(PL) 0.320 German_East_Prussia_Masuria 0.321 Polak(PL) 0.322 Ukrainian_Zhitomir 0.324 Polish_Mazovia 0.324 Italian_Campania 0.324 Greek_Chios 0.325 Maleficent(Levant+NWEuro) 0.327 Ukrainian_Sumi 0.328 Calcifer(Saf) 0.328 Greek_Ikaria 0.329 Italian_Sicily 0.329 Greek_Kythira 0.332 Roy(PL) 0.333 Russian_Belgorod 0.334 Ukrainian_Chernihiv 0.336 Russian_Smolensk 0.336 Ukrainian_Rivne 0.337 Italian_Calabria 0.338 Impaler(Rou) 0.340 Polish_Podlasie_East_Mazovia 0.341 Belarusian 0.341 Supreeeme(Jew) 0.341 Celestia(US) 0.342 Black_Wolf_gfather(IT_Calabrian) 0.343 Ukrainian_Cossack 0.343 michal3141(PL) 0.346 Lemgrant_Mother(Ukr) 0.346 SSlava(Rus) 0.348 Deniz(Turk) 0.348 Greek_Kalymnos 0.349 Russian_Voronezh 0.349 War_Chief 0.349 Maltese 0.349 Russian_Bryansk 0.350 Ukrainian_Dnipro 0.351 Russian_Orel 0.351 everlyse(Rus) 0.353 German_East_Prussia_Memelland 0.354 Lemgrant(Ukr) 0.356 Kyp_Snow(Aze+DE) 0.356 Deniz_mother(Turk) 0.356 Russian_Kaluga 0.360 rurov0(Rus) 0.360 Russian_Kursk 0.361 Mazik(N_Swede) 0.362 Jewish_Ashkenazi 0.362 rein 0.363 ModernMaskil(Jew) 0.365 Sicilianu101(S_Italian) 0.366 Greek_Azov 0.367 Polish_Sudovia 0.369 Lithuanian 0.370 Greek_Dodecanese 0.371 Russian_Tambov 0.371 Russian_Don_Cossack 0.372 Deniz_father(Turk) 0.375 Leto_Dad(Rus) 0.377 Russian_Pskov 0.380 Russian_Ryazan 0.381 InfamousAngel99_GM(US) 0.381 Russian_Novgorod_Pskov 0.383 AlexRus(Rus) 0.383 silentkiller(Rus) 0.383 Lithuanian_2 0.384 Ritz_6(Irn+Nor) 0.385 v27(Rus) 0.385 Stanislav(Rus/PL) 0.385 Dauga(LV) 0.387 Polischuk(Rus) 0.389 Pine(Jew) 0.390 Latvian 0.393 Humanophage(Rus) 0.393 Latvian_2 0.395 Norwegian_North 0.397 Russian_Tver 0.402 Erronkari(Arg/Uru) 0.413 Vyacheslav(Rus) 0.414 Estonian 0.415 Russian_Yaroslavl 0.418 TheOldNorth_Grandma(US) 0.420 Estonian-2 0.422 Vari(Est) 0.424 Russian_Nizhny_Novgorod_Yaroslavl 0.425 Russian_Meshchera_Lowlands 0.429 Russian 0.442 Cyprus 0.442 Leto(Rus) 0.452 Maintenance 0.454 Greek_Pontic 0.468 Sp_loa_grandmother(Jew) 0.470 Blemoir(Brazil) 0.477 Rius(Turk) 0.488 Finnish_Southwest 0.495 Turkish_Trabzon 0.496 Arhat(Rus+Afg) 0.504 Armenian_Hemsheni 0.505 Mazik_grandpa(N_Swede) 0.506 Moksha 0.508 oszkar07_wife(Arm) 0.510 Mortimer(Srb+Gyp) 0.514 Turkish_Istanbul 0.516 Russian_Kostroma 0.517 Pedro_Ruben(PT) 0.522 Russian_North 0.528 Kaspias(Balkan_Turk) 0.529 Sp_loa(Jew) 0.533 Erzya 0.534 Leto_Mom(Rus) 0.545 Finnish 0.552 PaterPatota(WestAsian) 0.560 Finnish_Southeast_Ingria 0.564 Druze 0.567 Turkish_Kayseri 0.573 Nazarene(Assyrian) 0.578 Maleficent_father(Levantine) 0.580 Russian_Kirov 0.581 Tabasaran 0.582 Iraqi_Jew 0.586 Norka(Rus_Tatar) 0.587 Turkish 0.588 Buusra(Turk_Avar) 0.588 Sippola(Finn) 0.589 Darginian 0.594 Finnish_Northeast 0.596 Karelian 0.597 Russian_Krasnoborsky 0.600 Assyrian 0.602 Turkish_Adana 0.607 Vepsian 0.643 Pahli(Kurd) 0.648 Russian_Perm 0.649 Kerem_turc 0.670 Hapanuwa 0.682 Russian_Pinezhsky 0.691 Russian_Pinega 0.706 TheMaginificent(Turk) 0.752 Bakha 0.754 alnortedelsur(Venez) 0.761 Palestinian 0.769 Turkish_Balikesir 0.777 Turkish_Aydin 0.846 Yemenite_Mahra 0.852 Russian_Leshukonsky 0.872 Bedoiun 1.003 Volga_Tatar 1.003 Komi 1.055 Makrani 1.057 Mingle(Pashtun) 1.105 Balochi 1.115 Saami_Norway 1.133 Kalash 1.150 Brahui 1.159 Egyptian 1.268 Pashtun_Kurram 1.298 Chuvash 1.367 Sindhi 1.411 Saami 1.413 Udmurt 1.567 Kriptc06(Brazil) 1.613 Mari 1.701 Mozabite 1.819 Gujarati 1.833 Crimean_Tatar 1.857 Punjabi_Lahore 2.131 Bahun 2.138 Bashkir 2.225 Bengali_Bangladesh 2.311 Mala 2.487 Siberian_Tatar 2.500 Tatar_Siberian 2.633 Uygur 2.652 Hazara 3.190 hmaohma78(Mex) 3.258 Shor 3.776 Onge 3.868 Jarawa 3.893 Somali_Kenya 3.908 Psy-Sprite(Mex) 4.476 Todzin 4.860 Itelmen 4.922 Cambodian 4.987 Dusun 5.015 Ulchi 5.032 Tu 5.066 Nivkh 5.150 Hezhen 5.170 Ami 5.173 Tibetan_Chamdo 5.189 Atayal 5.213 Xibo 5.250 Lahu 5.278 Masai 5.306 Eskimo 5.307 Naxi 5.339 Yi 5.380 Li 5.388 Japanese 5.412 Miao 5.419 Hobosmurf(Chinese) 5.426 Tujia 5.463 She 6.660 Quechua 6.672 Ethiopian_Mursi 6.821 Mayan 7.276 Dinka 7.278 Luhya_Kenya 7.383 Bantu_Kenya 7.440 Pima 7.521 Gambian 7.561 Mandenka 7.607 Piapoco 7.675 Surui 7.676 Karitiana 7.722 Esan_Nigeria 7.726 Mende_Sierra_Leone 7.741 Yoruba
07-25-2022, 03:31 PM
gixajo

Quote:

Originally Posted by Ajeje Brazorf

Eurogenes K36 fst with modern populations and users. Run it on R.

Code:

t=read.csv("https://pastebin.com/raw/Eicw7SWf",row.names=1,check.names=F) # K36 updated t=t/100 fst=as.matrix(as.dist(read.csv(text=",Amerindian,Arabian,Armenian,Basque,Central_African,Central_Euro,East_African,East_Asian,East_Balkan,East_Central_Asian,East_Central_Euro,East_Med,Eastern_Euro,Fennoscandian,French,Iberian,Indo-Chinese,Italian,Malayan,Near_Eastern,North_African,North_Atlantic,North_Caucasian,North_Sea,Northeast_African,Oceanian,Omotic,Pygmy,Siberian,South_Asian,South_Central_Asian,South_Chinese,Volga-Ural,West_African,West_Caucasian,West_Med Amerindian,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, Arabian,0.145,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, Armenian,0.142,0.024,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, Basque,0.152,0.041,0.037,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, Central_African,0.204,0.122,0.134,0.148,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, Central_Euro,0.138,0.032,0.026,0.028,0.138,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, East_African,0.173,0.079,0.092,0.107,0.024,0.098,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, East_Asian,0.105,0.101,0.100,0.112,0.155,0.100,0.124,,,,,,,,,,,,,,,,,,,,,,,,,,,,, East_Balkan,0.139,0.029,0.024,0.029,0.137,0.019,0.096,0.099,,,,,,,,,,,,,,,,,,,,,,,,,,,, East_Central_Asian,0.103,0.098,0.096,0.108,0.154,0.095,0.123,0.012,0.095,,,,,,,,,,,,,,,,,,,,,,,,,,, East_Central_Euro,0.136,0.035,0.029,0.030,0.139,0.016,0.099,0.099,0.019,0.094,,,,,,,,,,,,,,,,,,,,,,,,,, East_Med,0.140,0.015,0.014,0.030,0.126,0.021,0.084,0.097,0.018,0.092,0.024,,,,,,,,,,,,,,,,,,,,,,,,, Eastern_Euro,0.127,0.035,0.029,0.030,0.136,0.017,0.096,0.089,0.019,0.084,0.014,0.024,,,,,,,,,,,,,,,,,,,,,,,, Fennoscandian,0.129,0.037,0.030,0.030,0.138,0.017,0.098,0.091,0.020,0.086,0.015,0.026,0.013,,,,,,,,,,,,,,,,,,,,,,, French,0.140,0.032,0.027,0.027,0.139,0.018,0.098,0.102,0.019,0.097,0.019,0.021,0.019,0.019,,,,,,,,,,,,,,,,,,,,,, Iberian,0.137,0.024,0.020,0.019,0.132,0.013,0.090,0.097,0.014,0.093,0.015,0.013,0.016,0.015,0.012,,,,,,,,,,,,,,,,,,,,, Indo-Chinese,0.113,0.102,0.101,0.113,0.155,0.101,0.125,0.013,0.100,0.023,0.100,0.097,0.091,0.093,0.103,0.098,,,,,,,,,,,,,,,,,,,, Italian,0.138,0.021,0.016,0.022,0.132,0.013,0.090,0.097,0.013,0.093,0.015,0.010,0.016,0.017,0.013,0.006,0.098,,,,,,,,,,,,,,,,,,, Malayan,0.110,0.089,0.088,0.101,0.145,0.089,0.114,0.020,0.088,0.028,0.088,0.085,0.079,0.081,0.090,0.086,0.012,0.085,,,,,,,,,,,,,,,,,, Near_Eastern,0.136,0.013,0.014,0.031,0.115,0.021,0.074,0.092,0.019,0.088,0.024,0.007,0.024,0.026,0.021,0.014,0.093,0.011,0.081,,,,,,,,,,,,,,,,, North_African,0.151,0.033,0.040,0.050,0.103,0.042,0.065,0.105,0.041,0.102,0.045,0.031,0.045,0.046,0.042,0.033,0.106,0.032,0.094,0.027,,,,,,,,,,,,,,,, North_Atlantic,0.138,0.032,0.026,0.025,0.138,0.015,0.098,0.101,0.018,0.096,0.016,0.021,0.016,0.015,0.015,0.011,0.101,0.012,0.089,0.021,0.042,,,,,,,,,,,,,,, North_Caucasian,0.127,0.023,0.015,0.030,0.128,0.018,0.088,0.086,0.017,0.082,0.019,0.012,0.018,0.019,0.019,0.014,0.088,0.011,0.075,0.012,0.037,0.017,,,,,,,,,,,,,, North_Sea,0.137,0.031,0.025,0.025,0.138,0.014,0.097,0.099,0.017,0.094,0.015,0.020,0.015,0.014,0.014,0.010,0.100,0.011,0.088,0.020,0.041,0.011,0.016,,,,,,,,,,,,, Northeast_African,0.151,0.040,0.054,0.069,0.049,0.060,0.021,0.103,0.058,0.100,0.063,0.044,0.061,0.062,0.060,0.052,0.103,0.051,0.092,0.037,0.036,0.060,0.051,0.060,,,,,,,,,,,, Oceanian,0.194,0.151,0.152,0.164,0.197,0.153,0.168,0.132,0.152,0.134,0.152,0.147,0.146,0.148,0.154,0.149,0.132,0.149,0.119,0.143,0.154,0.152,0.142,0.151,0.149,,,,,,,,,,, Omotic,0.186,0.094,0.106,0.121,0.049,0.111,0.033,0.137,0.110,0.136,0.113,0.098,0.110,0.112,0.112,0.104,0.138,0.104,0.127,0.089,0.081,0.111,0.101,0.111,0.036,0.180,,,,,,,,,, Pygmy,0.230,0.151,0.162,0.177,0.061,0.167,0.057,0.183,0.166,0.181,0.168,0.155,0.165,0.166,0.167,0.160,0.183,0.161,0.172,0.145,0.132,0.167,0.157,0.166,0.085,0.221,0.078,,,,,,,,, Siberian,0.094,0.094,0.091,0.102,0.154,0.089,0.122,0.027,0.089,0.019,0.087,0.088,0.076,0.078,0.091,0.087,0.039,0.087,0.040,0.084,0.099,0.089,0.076,0.088,0.098,0.137,0.135,0.181,,,,,,,, South_Asian,0.117,0.049,0.045,0.061,0.124,0.049,0.089,0.065,0.048,0.064,0.048,0.042,0.044,0.045,0.050,0.046,0.065,0.044,0.052,0.039,0.059,0.048,0.035,0.047,0.061,0.119,0.102,0.152,0.062,,,,,,, South_Central_Asian,0.117,0.030,0.024,0.041,0.120,0.028,0.083,0.073,0.027,0.069,0.028,0.021,0.025,0.026,0.029,0.024,0.074,0.022,0.061,0.019,0.043,0.027,0.014,0.026,0.050,0.128,0.096,0.149,0.065,0.017,,,,,, South_Chinese,0.110,0.104,0.103,0.115,0.157,0.103,0.126,0.008,0.102,0.017,0.101,0.099,0.092,0.094,0.104,0.100,0.009,0.100,0.016,0.095,0.108,0.103,0.089,0.102,0.105,0.134,0.139,0.184,0.034,0.067,0.075,,,,, Volga-Ural,0.123,0.049,0.044,0.048,0.141,0.035,0.103,0.080,0.037,0.075,0.033,0.040,0.028,0.029,0.037,0.034,0.084,0.034,0.074,0.039,0.058,0.034,0.032,0.033,0.070,0.146,0.116,0.169,0.066,0.049,0.034,0.084,,,, West_African,0.205,0.123,0.134,0.149,0.031,0.140,0.027,0.156,0.138,0.155,0.140,0.127,0.137,0.139,0.140,0.132,0.156,0.133,0.146,0.116,0.101,0.139,0.129,0.139,0.056,0.197,0.057,0.047,0.155,0.125,0.122,0.158,0.142,,, West_Caucasian,0.141,0.028,0.020,0.038,0.135,0.027,0.095,0.100,0.025,0.095,0.029,0.017,0.029,0.030,0.028,0.022,0.100,0.018,0.088,0.017,0.043,0.027,0.013,0.026,0.057,0.152,0.108,0.164,0.090,0.045,0.023,0.102,0.043,0.136,, West_Med,0.156,0.035,0.033,0.034,0.146,0.029,0.104,0.114,0.028,0.109,0.032,0.025,0.034,0.034,0.028,0.019,0.114,0.019,0.102,0.026,0.044,0.028,0.030,0.027,0.065,0.165,0.118,0.174,0.105,0.063,0.042,0.116,0.052,0.147,0.036,",header=T,r=1,check=F))) fst=fst/mean(fst) t=as.matrix(t)%*%fst d=as.matrix(dist(t)) s=sort(d["_____choose a population name from the pastebin file above_____",]) cat(paste(sprintf("%.3f",s),names(s)),sep="\n")

Your distances

Code:

0.000 Gixajo(ES) 0.027 drewcastle(ES) 0.035 Polaciones(ES) 0.036 Spanish_Valencia1 0.044 Spanish_Terres_de_l'Ebre 0.044 Spanish_Pirineu 0.045 Spanish_Cantabria 0.055 Spanish_Aragon 0.058 Spanish_Lleida 0.059 Spanish_Barcelones 0.060 gixajo_mom(ES) 0.061 Spanish_Valencia2 0.061 drewcastle_gmother(ES) 0.066 Cernunnos(PT) 0.066 Spanish_Camp_de_Tarragona 0.066 Spanish_Girona 0.067 Spanish 0.068 Spanish_Andalusia 0.068 Spanish_Alacant 0.068 Spanish_Galicia 0.069 Spanish_Peri-Barcelona 0.072 gixajo_dad(ES) 0.073 Helen(ES) 0.076 dududud_mother(Fra/Sard) 0.080 Spanish_Mallorca 0.084 Spanish_Catalunya_Central 0.085 Helen_dad(ES) 0.089 Spanish_Castello 0.093 Spanish_Penedes 0.095 Enflamme 0.098 dududud(Fra+Sard) 0.100 French_South 0.101 Gallop(ES) 0.103 Spaniard_2.0 0.103 Spanish_Eivissa 0.105 Spaniard2.0_mom(ES) 0.110 papa_diddy_pop(Fra) 0.116 Noff(ES) 0.117 Viriato(PT) 0.121 gabobbler(PT) 0.122 Atlantic_Islander(PT) 0.123 Damiao_de_Gois(PT) 0.125 Spaniard2.0_dad(ES) 0.125 French_Provence 0.125 alnortedelsur_mom(Venez) 0.125 Spanish_Baleares 0.126 Gallop_father(ES) 0.131 Italian_Veneto 0.135 rafael_bro(Brazil) 0.139 Portuguese 0.140 Italian_Aosta 0.140 VidFlumina(N_Ita) 0.142 French 0.142 French_Central 0.143 French_Corsican 0.147 French_East 0.150 ViriatoGF(PT) 0.153 Portuguese_Azores 0.155 Pedro_Ruben_Mom(PT) 0.155 Swiss_Italian 0.156 Ruderico(PT) 0.157 Defcon2(ES) 0.159 Lek(Alb) 0.161 Luso(PT) 0.161 TheOldNorth(US) 0.162 Italian_Friuli 0.164 vbnetkhio(Srb) 0.166 Austrian_Tyrol 0.166 French_Northeast 0.168 Lawalye(Belg) 0.168 rafael_dad(Brazil) 0.169 Vojnik(N_Mak) 0.169 Italian_Val_Borbera 0.171 Italian_North 0.171 Basque_Spanish 0.173 noricum_sisinlaw(Aut) 0.173 rafael_mom(Brazil) 0.175 MagnusDark(Alb) 0.175 FilhoV(PT) 0.176 Ljubic(Cro) 0.177 German_Hesse_South 0.177 Laly_husband(Walloon) 0.178 German_Rhineland-Palatinate 0.178 German_Saarland 0.180 Sizzo(IT_Lombard) 0.180 Swiss_German 0.180 French_Normandy 0.181 Bained(Bul) 0.182 French_Hauts-de-France 0.182 Kouros(GR) 0.183 French_Southwest 0.185 Walloon 0.185 Albanian_Montenegro 0.185 Albanian_Kosovo 0.186 German_North_Rhine 0.187 North_Macedonian-2 0.187 dududud_father(Fra) 0.189 Tchek(Belgian) 0.189 Xila(Fra) 0.189 de_Burgh_II(US) 0.189 Nyx(French_Canadian) 0.190 North_Macedonian 0.190 Austrian_Salzburg-Upper_Austria 0.191 Austrian_Styria 0.192 PLogan(US) 0.192 Bosniensis(BH) 0.192 PT_Tagus 0.193 andre(Rou) 0.193 Albanian_North 0.194 French_Brittany 0.194 Shuffle(S_German) 0.194 WeirdLookingFellow(Rou) 0.195 sonofthedutch(NL+1/4Eng) 0.195 TheOldNorth_Mom(US) 0.195 German_Bavarian_Swabia 0.196 Jackson_mother(Eng) 0.197 Italian_Marche 0.197 PAGANE_cousin(Bul) 0.197 German_Baden-WÃ¼rttemberg 0.198 German_South 0.199 Grundig(German-American) 0.199 ljubic_uncle(Cro) 0.199 wisteria(US) 0.199 Bulgarian 0.199 Greek_Central 0.200 DacoCeltic(US) 0.200 Romanian 0.200 Rafael_Passoni(Brazil) 0.200 Montenegrin2 0.201 Eleonor(Norman) 0.201 Italian_Tuscany 0.201 Serb 0.202 Kyp_Snow_mother(DE) 0.203 German_Rhineland-Palatinate_East_of_Rhine 0.203 Romanian_Southwest 0.203 Flemish 0.203 Enr1989(N_Ita) 0.204 Norb(Eng) 0.204 German_Bavaria_proper 0.204 Moldovan 0.205 karen1300(US) 0.205 Decius(Srb) 0.206 17571imre(Hun+NL) 0.206 German_West_Bohemia 0.206 drb234(Eng) 0.207 Atlantean_Muller(IE) 0.207 Dutch_South 0.208 SwampThing26(US) 0.208 Freeroostah(GR) 0.211 Afrikaner 0.211 Romanian_Southeast 0.211 UltimatePagan(Srb) 0.211 German_North_Moravia 0.212 Albanian 0.212 Ylla(Alb) 0.212 Allenson(British-American) 0.213 Patches(Can) 0.213 Montenegrin1 0.213 Skeleton_father(US) 0.213 WhatsGoingOnBigGuy(US) 0.213 Ford(Srb) 0.213 Moldova_South 0.214 Romanian_Northwest 0.214 English_East 0.214 Gooding(US) 0.214 Bulgarian_2 0.215 DuÅ¡an(Srb) 0.215 German_Bavaria_Lower/Middle_Franconia 0.217 Jackson_gmother(Eng) 0.217 Albanian_North_Macedonia 0.217 English_Southwest 0.217 Greek_Thrace 0.217 Cornish 0.217 xripkan(GR) 0.218 English_East-Midlands 0.218 Chris596(Hun) 0.219 Corvo(IT) 0.219 Albanian_South 0.219 firemonkey(GB) 0.219 Greek_Northeast 0.220 Austrian_LowerAustria 0.220 English_Southeast 0.220 Dandelion(Flemish) 0.220 English 0.221 Greek_Central-Macedonia 0.222 knez01(Cro) 0.222 JB007(US) 0.222 German_Bavaria_Oberpfalz 0.222 German_Thuringia_Central 0.222 Stearsolina_Mom(Cro/Ger/Srb/Gre) 0.222 English_West-Midlands 0.222 German_County_Glatz 0.222 English_Lancashire 0.223 CommonSense(Srb) 0.223 Scottish_Highlands 0.224 Stearsolina(Cro) 0.224 Scottish_East 0.224 Pauline(Eng) 0.225 Stearsolina_stepdad(Cro) 0.225 Teutone(DE) 0.225 British_Ulster 0.225 DacoCeltic_mom(Irish-American) 0.225 Scottish 0.225 Moldova_Centre 0.226 English_Northeast 0.226 Irish_Ulster 0.226 someonenotyou(Hun) 0.226 Blanka_husband(Hun) 0.226 Irish 0.226 Welsh 0.226 Irish_Leinster 0.226 Romanian_Northeast 0.226 Mr.G_mother(German-American) 0.227 flooos(IE) 0.227 Austrian_Carinthia 0.227 Irish_Munster 0.227 English_Yorkshire 0.228 Greek_Euboea 0.228 Yesno(NZ) 0.228 Hrvoje(Cro/Sln) 0.228 wvwvw(GR) 0.228 Dutch 0.229 German_Saxony 0.229 Dick(Srb) 0.229 German 0.230 Dutch_Central 0.230 Croatian 0.230 Irish_Connacht 0.230 Oszkar(Hun/GB) 0.231 Austrian_Burgenland 0.231 Scottish_Orkney 0.231 noricum(Aut) 0.231 Croat_Gorski_Kotar 0.231 Sylvanas(Cro) 0.232 Scottish_Southwest 0.232 Gagauz 0.232 CommonSense_mother(Srb) 0.232 Stearsolina_Dad(Cro) 0.232 Graham(Sco) 0.232 Oneeye(US) 0.233 IceQueen(Eng) 0.233 Sharpshooter(Ire) 0.233 Jackson_gfather(Eng) 0.233 CDG(IE) 0.233 Albannach(Sco/IE) 0.234 MagnusDarkFather(Alb) 0.234 David(Cro) 0.235 EpirusDNA(GR) 0.235 Toddy_Frent(US) 0.236 Black_Wolf_mother(British-Canadian) 0.236 joannadi38(GR+EastSlav) 0.236 IonBasescul_dad(MD) 0.236 Caismeachd(Sco) 0.236 Bunalim(WestAsian+GB) 0.237 PAGANE_brother(Bul) 0.237 VlatkoVukoviÄ‡(BH) 0.238 Dick_dad(Srb) 0.238 German_Lower_Saxony_South 0.238 IonBasescul_brother(MD) 0.238 CreodaDad(IE) 0.238 noricum_mom(AUT) 0.238 GraceO'Malley(IE) 0.239 Bessarion(Cro) 0.239 Ayetooey(Srb-GB) 0.239 Catkin_mum(GB) 0.239 Slovenian 0.240 Wulf_Talented(Eng) 0.241 PAGANE(Bul) 0.241 Daki(Cro) 0.241 CreodaMum(Eng) 0.241 German_Northwest 0.241 rothaer_gchild2-1(DE) 0.242 Bosnian 0.242 Dutch_North 0.242 Creoda(IE/Eng) 0.242 German_Schleswig-Holstein 0.242 German_Westphalia 0.242 slavic_italian(US) 0.242 galychanyn(Ukr_Boyko) 0.243 GergÅ‘Grandma(Hun) 0.243 German_North_Bohemia 0.243 IonBasescul_mom(MD) 0.243 Oneeye_mother(US) 0.243 Maleficent_mother(US) 0.243 Catkin(GB) 0.244 rothaer_father(DE) 0.244 Greek_Peloponnese 0.245 manu1515(C_Ita) 0.247 Moldova_North 0.247 Gaditanian(ES) 0.247 rothaer_child2(DE) 0.248 aynora(DE) 0.248 Grace_mother(IE) 0.248 German_Saxony-Anhalt_South 0.248 Mr.G(US) 0.248 Romanian_Central 0.250 Dr.Robbotnik(US) 0.250 PAGANE_Moter(Bul) 0.250 Hungarian 0.251 Italian_Lazio 0.251 farke1(Brit.Isles+Nor) 0.252 German_Frisian 0.252 Oneeye_wife(US) 0.252 German_Thuringia_East 0.253 ph2ter_son(Cro) 0.254 ph2ter_dad(Cro) 0.254 Greek 0.254 Folcwalding(NL) 0.254 Czech_Moravia 0.254 GergÅ‘(Hun) 0.254 rothaer_brother_in_law(DE) 0.255 Tyrone_Slothrop(Anglo-Celtic_US) 0.255 Catkin_dad(GB) 0.255 German_Lower_Silesia 0.255 calxpal(Can) 0.255 Icelandic 0.255 ph2ter(Cro) 0.257 rothaer_sibling4(DE) 0.257 German_Lower_Saxony_North 0.258 Manda(Cro) 0.259 Czech 0.259 Spanish_Canarias 0.260 rothaer_mother(DE) 0.260 German_Brandenburg_Northwest 0.260 Benyzero(Hun) 0.260 Blanka(Hun) 0.260 German_Mecklenburg_Center/East 0.261 Safinator 0.261 German_Hither_Pomerania 0.261 Danish 0.261 Universe(Hun) 0.262 IonBasescul(MD) 0.262 Alessio_mother(NL) 0.262 Raedwald(Can) 0.262 Faroese 0.262 German_East 0.263 IrisSelene(Rom/Hun) 0.263 Greek_Istanbul 0.264 noricum_halfbro(Aut/Sln) 0.264 Carpathian_Rusyns 0.264 rothaer_mother_in_law(DE) 0.265 evon_granny(Nor) 0.265 Czech_Bohemia 0.266 Stears(Hun) 0.267 Loki(Boer) 0.267 Natalie(Cze) 0.268 kokeny_mom(Hun) 0.268 Norwegian 0.269 ph2ter_wife(Cro) 0.269 German_East_Prussia_Central 0.269 Nurzat(Rou/Ukr) 0.269 Slovak_2 0.269 cakmir7y_wife(Cze) 0.270 pajkosbalna(Hun) 0.270 cakmiry7(Cze) 0.271 rothaer_child6(DE) 0.271 Snkves(Swe) 0.271 rothaer_sibling3(DE) 0.272 German_Mecklenburg_West 0.272 rothaer_mat_gmother_in_law(DE) 0.272 Swedish_2 0.272 rothaer_child8(DE) 0.272 17571imremother(Hun) 0.273 rothaer_child4(DE) 0.274 evon(Nor) 0.274 Mr.G_father(Hun) 0.274 rothaer_child5(DE) 0.275 Journeyman26(IT+GR) 0.275 rothaer_mat_gfather_in_law(DE) 0.277 Ukrainian_Zakarpattia 0.278 KarolK_father(Slk) 0.278 rothaer(DE) 0.279 German_Brandenburg_outlier(Beeskow) 0.279 Italian_Apulia 0.280 Slovak 0.280 rothaer_wife2(DE) 0.281 Sikeliot(US) 0.281 German_West_Prussia 0.283 German_Farther_Pomerania 0.284 Karol_Klacansky(Slk+US) 0.284 Ukrainian_Lviv 0.286 Peterski_dad(PL) 0.286 Randomguy20(Aus) 0.286 rothaer_child1(DE) 0.288 Serb_Dalmatia 0.288 Black_Wolf(Can) 0.289 rothaer_child3(DE) 0.290 crazyladybutterfly(S_Italian) 0.290 Peterski(PL) 0.291 Swedish 0.293 Polish_Upper_Silesia 0.293 Polish_South 0.296 rothaer_child7(DE) 0.297 Greek_Andros 0.299 Abriekman 0.301 Dragoon(PL) 0.301 Polish_SE_Carpathia 0.302 Swedish_North 0.302 Pedro_Ruben_Dad(PT) 0.302 Sardinian 0.307 Polish 0.308 Pallantides(Nor) 0.308 Ajeje_Brazorf(S_Italian) 0.308 Peterski_mom(PL) 0.309 Polish_Wielkopolska 0.310 Polish_Kashubian 0.310 Greek_Cyclades 0.310 Italian_South 0.311 Ukrainian 0.311 Polish_North 0.313 Daos777 0.314 Thracian(Balkan_Turk) 0.314 Upper_Silesia 0.317 Black_Wolf_father(Ita/Fin) 0.317 Kokeny(Hun) 0.318 Polish_2 0.319 Greek_Crete 0.320 Lukasz(PL) 0.320 German_East_Prussia_Masuria 0.321 Polak(PL) 0.322 Ukrainian_Zhitomir 0.324 Polish_Mazovia 0.324 Italian_Campania 0.324 Greek_Chios 0.325 Maleficent(Levant+NWEuro) 0.327 Ukrainian_Sumi 0.328 Calcifer(Saf) 0.328 Greek_Ikaria 0.329 Italian_Sicily 0.329 Greek_Kythira 0.332 Roy(PL) 0.333 Russian_Belgorod 0.334 Ukrainian_Chernihiv 0.336 Russian_Smolensk 0.336 Ukrainian_Rivne 0.337 Italian_Calabria 0.338 Impaler(Rou) 0.340 Polish_Podlasie_East_Mazovia 0.341 Belarusian 0.341 Supreeeme(Jew) 0.341 Celestia(US) 0.342 Black_Wolf_gfather(IT_Calabrian) 0.343 Ukrainian_Cossack 0.343 michal3141(PL) 0.346 Lemgrant_Mother(Ukr) 0.346 SSlava(Rus) 0.348 Deniz(Turk) 0.348 Greek_Kalymnos 0.349 Russian_Voronezh 0.349 War_Chief 0.349 Maltese 0.349 Russian_Bryansk 0.350 Ukrainian_Dnipro 0.351 Russian_Orel 0.351 everlyse(Rus) 0.353 German_East_Prussia_Memelland 0.354 Lemgrant(Ukr) 0.356 Kyp_Snow(Aze+DE) 0.356 Deniz_mother(Turk) 0.356 Russian_Kaluga 0.360 rurov0(Rus) 0.360 Russian_Kursk 0.361 Mazik(N_Swede) 0.362 Jewish_Ashkenazi 0.362 rein 0.363 ModernMaskil(Jew) 0.365 Sicilianu101(S_Italian) 0.366 Greek_Azov 0.367 Polish_Sudovia 0.369 Lithuanian 0.370 Greek_Dodecanese 0.371 Russian_Tambov 0.371 Russian_Don_Cossack 0.372 Deniz_father(Turk) 0.375 Leto_Dad(Rus) 0.377 Russian_Pskov 0.380 Russian_Ryazan 0.381 InfamousAngel99_GM(US) 0.381 Russian_Novgorod_Pskov 0.383 AlexRus(Rus) 0.383 silentkiller(Rus) 0.383 Lithuanian_2 0.384 Ritz_6(Irn+Nor) 0.385 v27(Rus) 0.385 Stanislav(Rus/PL) 0.385 Dauga(LV) 0.387 Polischuk(Rus) 0.389 Pine(Jew) 0.390 Latvian 0.393 Humanophage(Rus) 0.393 Latvian_2 0.395 Norwegian_North 0.397 Russian_Tver 0.402 Erronkari(Arg/Uru) 0.413 Vyacheslav(Rus) 0.414 Estonian 0.415 Russian_Yaroslavl 0.418 TheOldNorth_Grandma(US) 0.420 Estonian-2 0.422 Vari(Est) 0.424 Russian_Nizhny_Novgorod_Yaroslavl 0.425 Russian_Meshchera_Lowlands 0.429 Russian 0.442 Cyprus 0.442 Leto(Rus) 0.452 Maintenance 0.454 Greek_Pontic 0.468 Sp_loa_grandmother(Jew) 0.470 Blemoir(Brazil) 0.477 Rius(Turk) 0.488 Finnish_Southwest 0.495 Turkish_Trabzon 0.496 Arhat(Rus+Afg) 0.504 Armenian_Hemsheni 0.505 Mazik_grandpa(N_Swede) 0.506 Moksha 0.508 oszkar07_wife(Arm) 0.510 Mortimer(Srb+Gyp) 0.514 Turkish_Istanbul 0.516 Russian_Kostroma 0.517 Pedro_Ruben(PT) 0.522 Russian_North 0.528 Kaspias(Balkan_Turk) 0.529 Sp_loa(Jew) 0.533 Erzya 0.534 Leto_Mom(Rus) 0.545 Finnish 0.552 PaterPatota(WestAsian) 0.560 Finnish_Southeast_Ingria 0.564 Druze 0.567 Turkish_Kayseri 0.573 Nazarene(Assyrian) 0.578 Maleficent_father(Levantine) 0.580 Russian_Kirov 0.581 Tabasaran 0.582 Iraqi_Jew 0.586 Norka(Rus_Tatar) 0.587 Turkish 0.588 Buusra(Turk_Avar) 0.588 Sippola(Finn) 0.589 Darginian 0.594 Finnish_Northeast 0.596 Karelian 0.597 Russian_Krasnoborsky 0.600 Assyrian 0.602 Turkish_Adana 0.607 Vepsian 0.643 Pahli(Kurd) 0.648 Russian_Perm 0.649 Kerem_turc 0.670 Hapanuwa 0.682 Russian_Pinezhsky 0.691 Russian_Pinega 0.706 TheMaginificent(Turk) 0.752 Bakha 0.754 alnortedelsur(Venez) 0.761 Palestinian 0.769 Turkish_Balikesir 0.777 Turkish_Aydin 0.846 Yemenite_Mahra 0.852 Russian_Leshukonsky 0.872 Bedoiun 1.003 Volga_Tatar 1.003 Komi 1.055 Makrani 1.057 Mingle(Pashtun) 1.105 Balochi 1.115 Saami_Norway 1.133 Kalash 1.150 Brahui 1.159 Egyptian 1.268 Pashtun_Kurram 1.298 Chuvash 1.367 Sindhi 1.411 Saami 1.413 Udmurt 1.567 Kriptc06(Brazil) 1.613 Mari 1.701 Mozabite 1.819 Gujarati 1.833 Crimean_Tatar 1.857 Punjabi_Lahore 2.131 Bahun 2.138 Bashkir 2.225 Bengali_Bangladesh 2.311 Mala 2.487 Siberian_Tatar 2.500 Tatar_Siberian 2.633 Uygur 2.652 Hazara 3.190 hmaohma78(Mex) 3.258 Shor 3.776 Onge 3.868 Jarawa 3.893 Somali_Kenya 3.908 Psy-Sprite(Mex) 4.476 Todzin 4.860 Itelmen 4.922 Cambodian 4.987 Dusun 5.015 Ulchi 5.032 Tu 5.066 Nivkh 5.150 Hezhen 5.170 Ami 5.173 Tibetan_Chamdo 5.189 Atayal 5.213 Xibo 5.250 Lahu 5.278 Masai 5.306 Eskimo 5.307 Naxi 5.339 Yi 5.380 Li 5.388 Japanese 5.412 Miao 5.419 Hobosmurf(Chinese) 5.426 Tujia 5.463 She 6.660 Quechua 6.672 Ethiopian_Mursi 6.821 Mayan 7.276 Dinka 7.278 Luhya_Kenya 7.383 Bantu_Kenya 7.440 Pima 7.521 Gambian 7.561 Mandenka 7.607 Piapoco 7.675 Surui 7.676 Karitiana 7.722 Esan_Nigeria 7.726 Mende_Sierra_Leone 7.741 Yoruba

Ok sorry.... I just saw 35....:picard1:

Quote:

Originally Posted by gixajo

Ok sorry.... I just saw 35....:picard1:

These are the fst distances displayed on a table.

https://i.imgur.com/O0bQIYp.png

Spoiler!

pop Amerindian Arabian Armenian Basque Central_African Central_Euro East_African East_Asian East_Balkan East_Central_Asian East_Central_Euro East_Med Eastern_Euro Fennoscandian French Iberian Indo-Chinese Italian Malayan Near_Eastern North_African North_Atlantic North_Caucasian North_Sea Northeast_African Oceanian Omotic Pygmy Siberian South_Asian South_Central_Asian South_Chinese Volga-Ural West_African West_Caucasian West_Med

Amerindian 0 0,145 0,142 0,152 0,204 0,138 0,173 0,105 0,139 0,103 0,136 0,14 0,127 0,129 0,14 0,137 0,113 0,138 0,11 0,136 0,151 0,138 0,127 0,137 0,151 0,194 0,186 0,23 0,094 0,117 0,117 0,11 0,123 0,205 0,141 0,156

Arabian 0,145 0 0,024 0,041 0,122 0,032 0,079 0,101 0,029 0,098 0,035 0,015 0,035 0,037 0,032 0,024 0,102 0,021 0,089 0,013 0,033 0,032 0,023 0,031 0,04 0,151 0,094 0,151 0,094 0,049 0,03 0,104 0,049 0,123 0,028 0,035

Armenian 0,142 0,024 0 0,037 0,134 0,026 0,092 0,1 0,024 0,096 0,029 0,014 0,029 0,03 0,027 0,02 0,101 0,016 0,088 0,014 0,04 0,026 0,015 0,025 0,054 0,152 0,106 0,162 0,091 0,045 0,024 0,103 0,044 0,134 0,02 0,033

Basque 0,152 0,041 0,037 0 0,148 0,028 0,107 0,112 0,029 0,108 0,03 0,03 0,03 0,03 0,027 0,019 0,113 0,022 0,101 0,031 0,05 0,025 0,03 0,025 0,069 0,164 0,121 0,177 0,102 0,061 0,041 0,115 0,048 0,149 0,038 0,034

Central_African 0,204 0,122 0,134 0,148 0 0,138 0,024 0,155 0,137 0,154 0,139 0,126 0,136 0,138 0,139 0,132 0,155 0,132 0,145 0,115 0,103 0,138 0,128 0,138 0,049 0,197 0,049 0,061 0,154 0,124 0,12 0,157 0,141 0,031 0,135 0,146

Central_Euro 0,138 0,032 0,026 0,028 0,138 0 0,098 0,1 0,019 0,095 0,016 0,021 0,017 0,017 0,018 0,013 0,101 0,013 0,089 0,021 0,042 0,015 0,018 0,014 0,06 0,153 0,111 0,167 0,089 0,049 0,028 0,103 0,035 0,14 0,027 0,029

East_African 0,173 0,079 0,092 0,107 0,024 0,098 0 0,124 0,096 0,123 0,099 0,084 0,096 0,098 0,098 0,09 0,125 0,09 0,114 0,074 0,065 0,098 0,088 0,097 0,021 0,168 0,033 0,057 0,122 0,089 0,083 0,126 0,103 0,027 0,095 0,104

East_Asian 0,105 0,101 0,1 0,112 0,155 0,1 0,124 0 0,099 0,012 0,099 0,097 0,089 0,091 0,102 0,097 0,013 0,097 0,02 0,092 0,105 0,101 0,086 0,099 0,103 0,132 0,137 0,183 0,027 0,065 0,073 0,008 0,08 0,156 0,1 0,114

East_Balkan 0,139 0,029 0,024 0,029 0,137 0,019 0,096 0,099 0 0,095 0,019 0,018 0,019 0,02 0,019 0,014 0,1 0,013 0,088 0,019 0,041 0,018 0,017 0,017 0,058 0,152 0,11 0,166 0,089 0,048 0,027 0,102 0,037 0,138 0,025 0,028

East_Central_Asian 0,103 0,098 0,096 0,108 0,154 0,095 0,123 0,012 0,095 0 0,094 0,092 0,084 0,086 0,097 0,093 0,023 0,093 0,028 0,088 0,102 0,096 0,082 0,094 0,1 0,134 0,136 0,181 0,019 0,064 0,069 0,017 0,075 0,155 0,095 0,109

East_Central_Euro 0,136 0,035 0,029 0,03 0,139 0,016 0,099 0,099 0,019 0,094 0 0,024 0,014 0,015 0,019 0,015 0,1 0,015 0,088 0,024 0,045 0,016 0,019 0,015 0,063 0,152 0,113 0,168 0,087 0,048 0,028 0,101 0,033 0,14 0,029 0,032

East_Med 0,14 0,015 0,014 0,03 0,126 0,021 0,084 0,097 0,018 0,092 0,024 0 0,024 0,026 0,021 0,013 0,097 0,01 0,085 0,007 0,031 0,021 0,012 0,02 0,044 0,147 0,098 0,155 0,088 0,042 0,021 0,099 0,04 0,127 0,017 0,025

Eastern_Euro 0,127 0,035 0,029 0,03 0,136 0,017 0,096 0,089 0,019 0,084 0,014 0,024 0 0,013 0,019 0,016 0,091 0,016 0,079 0,024 0,045 0,016 0,018 0,015 0,061 0,146 0,11 0,165 0,076 0,044 0,025 0,092 0,028 0,137 0,029 0,034

Fennoscandian 0,129 0,037 0,03 0,03 0,138 0,017 0,098 0,091 0,02 0,086 0,015 0,026 0,013 0 0,019 0,015 0,093 0,017 0,081 0,026 0,046 0,015 0,019 0,014 0,062 0,148 0,112 0,166 0,078 0,045 0,026 0,094 0,029 0,139 0,03 0,034

French 0,14 0,032 0,027 0,027 0,139 0,018 0,098 0,102 0,019 0,097 0,019 0,021 0,019 0,019 0 0,012 0,103 0,013 0,09 0,021 0,042 0,015 0,019 0,014 0,06 0,154 0,112 0,167 0,091 0,05 0,029 0,104 0,037 0,14 0,028 0,028

Iberian 0,137 0,024 0,02 0,019 0,132 0,013 0,09 0,097 0,014 0,093 0,015 0,013 0,016 0,015 0,012 0 0,098 0,006 0,086 0,014 0,033 0,011 0,014 0,01 0,052 0,149 0,104 0,16 0,087 0,046 0,024 0,1 0,034 0,132 0,022 0,019

Indo-Chinese 0,113 0,102 0,101 0,113 0,155 0,101 0,125 0,013 0,1 0,023 0,1 0,097 0,091 0,093 0,103 0,098 0 0,098 0,012 0,093 0,106 0,101 0,088 0,1 0,103 0,132 0,138 0,183 0,039 0,065 0,074 0,009 0,084 0,156 0,1 0,114

Italian 0,138 0,021 0,016 0,022 0,132 0,013 0,09 0,097 0,013 0,093 0,015 0,01 0,016 0,017 0,013 0,006 0,098 0 0,085 0,011 0,032 0,012 0,011 0,011 0,051 0,149 0,104 0,161 0,087 0,044 0,022 0,1 0,034 0,133 0,018 0,019

Malayan 0,11 0,089 0,088 0,101 0,145 0,089 0,114 0,02 0,088 0,028 0,088 0,085 0,079 0,081 0,09 0,086 0,012 0,085 0 0,081 0,094 0,089 0,075 0,088 0,092 0,119 0,127 0,172 0,04 0,052 0,061 0,016 0,074 0,146 0,088 0,102

Near_Eastern 0,136 0,013 0,014 0,031 0,115 0,021 0,074 0,092 0,019 0,088 0,024 0,007 0,024 0,026 0,021 0,014 0,093 0,011 0,081 0 0,027 0,021 0,012 0,02 0,037 0,143 0,089 0,145 0,084 0,039 0,019 0,095 0,039 0,116 0,017 0,026

North_African 0,151 0,033 0,04 0,05 0,103 0,042 0,065 0,105 0,041 0,102 0,045 0,031 0,045 0,046 0,042 0,033 0,106 0,032 0,094 0,027 0 0,042 0,037 0,041 0,036 0,154 0,081 0,132 0,099 0,059 0,043 0,108 0,058 0,101 0,043 0,044

North_Atlantic 0,138 0,032 0,026 0,025 0,138 0,015 0,098 0,101 0,018 0,096 0,016 0,021 0,016 0,015 0,015 0,011 0,101 0,012 0,089 0,021 0,042 0 0,017 0,011 0,06 0,152 0,111 0,167 0,089 0,048 0,027 0,103 0,034 0,139 0,027 0,028

North_Caucasian 0,127 0,023 0,015 0,03 0,128 0,018 0,088 0,086 0,017 0,082 0,019 0,012 0,018 0,019 0,019 0,014 0,088 0,011 0,075 0,012 0,037 0,017 0 0,016 0,051 0,142 0,101 0,157 0,076 0,035 0,014 0,089 0,032 0,129 0,013 0,03

North_Sea 0,137 0,031 0,025 0,025 0,138 0,014 0,097 0,099 0,017 0,094 0,015 0,02 0,015 0,014 0,014 0,01 0,1 0,011 0,088 0,02 0,041 0,011 0,016 0 0,06 0,151 0,111 0,166 0,088 0,047 0,026 0,102 0,033 0,139 0,026 0,027

Northeast_African 0,151 0,04 0,054 0,069 0,049 0,06 0,021 0,103 0,058 0,1 0,063 0,044 0,061 0,062 0,06 0,052 0,103 0,051 0,092 0,037 0,036 0,06 0,051 0,06 0 0,149 0,036 0,085 0,098 0,061 0,05 0,105 0,07 0,056 0,057 0,065

Oceanian 0,194 0,151 0,152 0,164 0,197 0,153 0,168 0,132 0,152 0,134 0,152 0,147 0,146 0,148 0,154 0,149 0,132 0,149 0,119 0,143 0,154 0,152 0,142 0,151 0,149 0 0,18 0,221 0,137 0,119 0,128 0,134 0,146 0,197 0,152 0,165

Omotic 0,186 0,094 0,106 0,121 0,049 0,111 0,033 0,137 0,11 0,136 0,113 0,098 0,11 0,112 0,112 0,104 0,138 0,104 0,127 0,089 0,081 0,111 0,101 0,111 0,036 0,18 0 0,078 0,135 0,102 0,096 0,139 0,116 0,057 0,108 0,118

Pygmy 0,23 0,151 0,162 0,177 0,061 0,167 0,057 0,183 0,166 0,181 0,168 0,155 0,165 0,166 0,167 0,16 0,183 0,161 0,172 0,145 0,132 0,167 0,157 0,166 0,085 0,221 0,078 0 0,181 0,152 0,149 0,184 0,169 0,047 0,164 0,174

Siberian 0,094 0,094 0,091 0,102 0,154 0,089 0,122 0,027 0,089 0,019 0,087 0,088 0,076 0,078 0,091 0,087 0,039 0,087 0,04 0,084 0,099 0,089 0,076 0,088 0,098 0,137 0,135 0,181 0 0,062 0,065 0,034 0,066 0,155 0,09 0,105

South_Asian 0,117 0,049 0,045 0,061 0,124 0,049 0,089 0,065 0,048 0,064 0,048 0,042 0,044 0,045 0,05 0,046 0,065 0,044 0,052 0,039 0,059 0,048 0,035 0,047 0,061 0,119 0,102 0,152 0,062 0 0,017 0,067 0,049 0,125 0,045 0,063

South_Central_Asian 0,117 0,03 0,024 0,041 0,12 0,028 0,083 0,073 0,027 0,069 0,028 0,021 0,025 0,026 0,029 0,024 0,074 0,022 0,061 0,019 0,043 0,027 0,014 0,026 0,05 0,128 0,096 0,149 0,065 0,017 0 0,075 0,034 0,122 0,023 0,042

South_Chinese 0,11 0,104 0,103 0,115 0,157 0,103 0,126 0,008 0,102 0,017 0,101 0,099 0,092 0,094 0,104 0,1 0,009 0,1 0,016 0,095 0,108 0,103 0,089 0,102 0,105 0,134 0,139 0,184 0,034 0,067 0,075 0 0,084 0,158 0,102 0,116

Volga-Ural 0,123 0,049 0,044 0,048 0,141 0,035 0,103 0,08 0,037 0,075 0,033 0,04 0,028 0,029 0,037 0,034 0,084 0,034 0,074 0,039 0,058 0,034 0,032 0,033 0,07 0,146 0,116 0,169 0,066 0,049 0,034 0,084 0 0,142 0,043 0,052

West_African 0,205 0,123 0,134 0,149 0,031 0,14 0,027 0,156 0,138 0,155 0,14 0,127 0,137 0,139 0,14 0,132 0,156 0,133 0,146 0,116 0,101 0,139 0,129 0,139 0,056 0,197 0,057 0,047 0,155 0,125 0,122 0,158 0,142 0 0,136 0,147

West_Caucasian 0,141 0,028 0,02 0,038 0,135 0,027 0,095 0,1 0,025 0,095 0,029 0,017 0,029 0,03 0,028 0,022 0,1 0,018 0,088 0,017 0,043 0,027 0,013 0,026 0,057 0,152 0,108 0,164 0,09 0,045 0,023 0,102 0,043 0,136 0 0,036

West_Med 0,156 0,035 0,033 0,034 0,146 0,029 0,104 0,114 0,028 0,109 0,032 0,025 0,034 0,034 0,028 0,019 0,114 0,019 0,102 0,026 0,044 0,028 0,03 0,027 0,065 0,165 0,118 0,174 0,105 0,063 0,042 0,116 0,052 0,147 0,036 0

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pop	Amerindian	Arabian	Armenian	Basque	Central_African	Central_Euro	East_African	East_Asian	East_Balkan	East_Central_Asian	East_Central_Euro	East_Med	Eastern_Euro	Fennoscandian	French	Iberian	Indo-Chinese	Italian	Malayan	Near_Eastern	North_African	North_Atlantic	North_Caucasian	North_Sea	Northeast_African	Oceanian	Omotic	Pygmy	Siberian	South_Asian	South_Central_Asian	South_Chinese	Volga-Ural	West_African	West_Caucasian	West_Med
Amerindian	0	0,145	0,142	0,152	0,204	0,138	0,173	0,105	0,139	0,103	0,136	0,14	0,127	0,129	0,14	0,137	0,113	0,138	0,11	0,136	0,151	0,138	0,127	0,137	0,151	0,194	0,186	0,23	0,094	0,117	0,117	0,11	0,123	0,205	0,141	0,156
Arabian	0,145	0	0,024	0,041	0,122	0,032	0,079	0,101	0,029	0,098	0,035	0,015	0,035	0,037	0,032	0,024	0,102	0,021	0,089	0,013	0,033	0,032	0,023	0,031	0,04	0,151	0,094	0,151	0,094	0,049	0,03	0,104	0,049	0,123	0,028	0,035
Armenian	0,142	0,024	0	0,037	0,134	0,026	0,092	0,1	0,024	0,096	0,029	0,014	0,029	0,03	0,027	0,02	0,101	0,016	0,088	0,014	0,04	0,026	0,015	0,025	0,054	0,152	0,106	0,162	0,091	0,045	0,024	0,103	0,044	0,134	0,02	0,033
Basque	0,152	0,041	0,037	0	0,148	0,028	0,107	0,112	0,029	0,108	0,03	0,03	0,03	0,03	0,027	0,019	0,113	0,022	0,101	0,031	0,05	0,025	0,03	0,025	0,069	0,164	0,121	0,177	0,102	0,061	0,041	0,115	0,048	0,149	0,038	0,034
Central_African	0,204	0,122	0,134	0,148	0	0,138	0,024	0,155	0,137	0,154	0,139	0,126	0,136	0,138	0,139	0,132	0,155	0,132	0,145	0,115	0,103	0,138	0,128	0,138	0,049	0,197	0,049	0,061	0,154	0,124	0,12	0,157	0,141	0,031	0,135	0,146
Central_Euro	0,138	0,032	0,026	0,028	0,138	0	0,098	0,1	0,019	0,095	0,016	0,021	0,017	0,017	0,018	0,013	0,101	0,013	0,089	0,021	0,042	0,015	0,018	0,014	0,06	0,153	0,111	0,167	0,089	0,049	0,028	0,103	0,035	0,14	0,027	0,029
East_African	0,173	0,079	0,092	0,107	0,024	0,098	0	0,124	0,096	0,123	0,099	0,084	0,096	0,098	0,098	0,09	0,125	0,09	0,114	0,074	0,065	0,098	0,088	0,097	0,021	0,168	0,033	0,057	0,122	0,089	0,083	0,126	0,103	0,027	0,095	0,104
East_Asian	0,105	0,101	0,1	0,112	0,155	0,1	0,124	0	0,099	0,012	0,099	0,097	0,089	0,091	0,102	0,097	0,013	0,097	0,02	0,092	0,105	0,101	0,086	0,099	0,103	0,132	0,137	0,183	0,027	0,065	0,073	0,008	0,08	0,156	0,1	0,114
East_Balkan	0,139	0,029	0,024	0,029	0,137	0,019	0,096	0,099	0	0,095	0,019	0,018	0,019	0,02	0,019	0,014	0,1	0,013	0,088	0,019	0,041	0,018	0,017	0,017	0,058	0,152	0,11	0,166	0,089	0,048	0,027	0,102	0,037	0,138	0,025	0,028
East_Central_Asian	0,103	0,098	0,096	0,108	0,154	0,095	0,123	0,012	0,095	0	0,094	0,092	0,084	0,086	0,097	0,093	0,023	0,093	0,028	0,088	0,102	0,096	0,082	0,094	0,1	0,134	0,136	0,181	0,019	0,064	0,069	0,017	0,075	0,155	0,095	0,109
East_Central_Euro	0,136	0,035	0,029	0,03	0,139	0,016	0,099	0,099	0,019	0,094	0	0,024	0,014	0,015	0,019	0,015	0,1	0,015	0,088	0,024	0,045	0,016	0,019	0,015	0,063	0,152	0,113	0,168	0,087	0,048	0,028	0,101	0,033	0,14	0,029	0,032
East_Med	0,14	0,015	0,014	0,03	0,126	0,021	0,084	0,097	0,018	0,092	0,024	0	0,024	0,026	0,021	0,013	0,097	0,01	0,085	0,007	0,031	0,021	0,012	0,02	0,044	0,147	0,098	0,155	0,088	0,042	0,021	0,099	0,04	0,127	0,017	0,025
Eastern_Euro	0,127	0,035	0,029	0,03	0,136	0,017	0,096	0,089	0,019	0,084	0,014	0,024	0	0,013	0,019	0,016	0,091	0,016	0,079	0,024	0,045	0,016	0,018	0,015	0,061	0,146	0,11	0,165	0,076	0,044	0,025	0,092	0,028	0,137	0,029	0,034
Fennoscandian	0,129	0,037	0,03	0,03	0,138	0,017	0,098	0,091	0,02	0,086	0,015	0,026	0,013	0	0,019	0,015	0,093	0,017	0,081	0,026	0,046	0,015	0,019	0,014	0,062	0,148	0,112	0,166	0,078	0,045	0,026	0,094	0,029	0,139	0,03	0,034
French	0,14	0,032	0,027	0,027	0,139	0,018	0,098	0,102	0,019	0,097	0,019	0,021	0,019	0,019	0	0,012	0,103	0,013	0,09	0,021	0,042	0,015	0,019	0,014	0,06	0,154	0,112	0,167	0,091	0,05	0,029	0,104	0,037	0,14	0,028	0,028
Iberian	0,137	0,024	0,02	0,019	0,132	0,013	0,09	0,097	0,014	0,093	0,015	0,013	0,016	0,015	0,012	0	0,098	0,006	0,086	0,014	0,033	0,011	0,014	0,01	0,052	0,149	0,104	0,16	0,087	0,046	0,024	0,1	0,034	0,132	0,022	0,019
Indo-Chinese	0,113	0,102	0,101	0,113	0,155	0,101	0,125	0,013	0,1	0,023	0,1	0,097	0,091	0,093	0,103	0,098	0	0,098	0,012	0,093	0,106	0,101	0,088	0,1	0,103	0,132	0,138	0,183	0,039	0,065	0,074	0,009	0,084	0,156	0,1	0,114
Italian	0,138	0,021	0,016	0,022	0,132	0,013	0,09	0,097	0,013	0,093	0,015	0,01	0,016	0,017	0,013	0,006	0,098	0	0,085	0,011	0,032	0,012	0,011	0,011	0,051	0,149	0,104	0,161	0,087	0,044	0,022	0,1	0,034	0,133	0,018	0,019
Malayan	0,11	0,089	0,088	0,101	0,145	0,089	0,114	0,02	0,088	0,028	0,088	0,085	0,079	0,081	0,09	0,086	0,012	0,085	0	0,081	0,094	0,089	0,075	0,088	0,092	0,119	0,127	0,172	0,04	0,052	0,061	0,016	0,074	0,146	0,088	0,102
Near_Eastern	0,136	0,013	0,014	0,031	0,115	0,021	0,074	0,092	0,019	0,088	0,024	0,007	0,024	0,026	0,021	0,014	0,093	0,011	0,081	0	0,027	0,021	0,012	0,02	0,037	0,143	0,089	0,145	0,084	0,039	0,019	0,095	0,039	0,116	0,017	0,026
North_African	0,151	0,033	0,04	0,05	0,103	0,042	0,065	0,105	0,041	0,102	0,045	0,031	0,045	0,046	0,042	0,033	0,106	0,032	0,094	0,027	0	0,042	0,037	0,041	0,036	0,154	0,081	0,132	0,099	0,059	0,043	0,108	0,058	0,101	0,043	0,044
North_Atlantic	0,138	0,032	0,026	0,025	0,138	0,015	0,098	0,101	0,018	0,096	0,016	0,021	0,016	0,015	0,015	0,011	0,101	0,012	0,089	0,021	0,042	0	0,017	0,011	0,06	0,152	0,111	0,167	0,089	0,048	0,027	0,103	0,034	0,139	0,027	0,028
North_Caucasian	0,127	0,023	0,015	0,03	0,128	0,018	0,088	0,086	0,017	0,082	0,019	0,012	0,018	0,019	0,019	0,014	0,088	0,011	0,075	0,012	0,037	0,017	0	0,016	0,051	0,142	0,101	0,157	0,076	0,035	0,014	0,089	0,032	0,129	0,013	0,03
North_Sea	0,137	0,031	0,025	0,025	0,138	0,014	0,097	0,099	0,017	0,094	0,015	0,02	0,015	0,014	0,014	0,01	0,1	0,011	0,088	0,02	0,041	0,011	0,016	0	0,06	0,151	0,111	0,166	0,088	0,047	0,026	0,102	0,033	0,139	0,026	0,027
Northeast_African	0,151	0,04	0,054	0,069	0,049	0,06	0,021	0,103	0,058	0,1	0,063	0,044	0,061	0,062	0,06	0,052	0,103	0,051	0,092	0,037	0,036	0,06	0,051	0,06	0	0,149	0,036	0,085	0,098	0,061	0,05	0,105	0,07	0,056	0,057	0,065
Oceanian	0,194	0,151	0,152	0,164	0,197	0,153	0,168	0,132	0,152	0,134	0,152	0,147	0,146	0,148	0,154	0,149	0,132	0,149	0,119	0,143	0,154	0,152	0,142	0,151	0,149	0	0,18	0,221	0,137	0,119	0,128	0,134	0,146	0,197	0,152	0,165
Omotic	0,186	0,094	0,106	0,121	0,049	0,111	0,033	0,137	0,11	0,136	0,113	0,098	0,11	0,112	0,112	0,104	0,138	0,104	0,127	0,089	0,081	0,111	0,101	0,111	0,036	0,18	0	0,078	0,135	0,102	0,096	0,139	0,116	0,057	0,108	0,118
Pygmy	0,23	0,151	0,162	0,177	0,061	0,167	0,057	0,183	0,166	0,181	0,168	0,155	0,165	0,166	0,167	0,16	0,183	0,161	0,172	0,145	0,132	0,167	0,157	0,166	0,085	0,221	0,078	0	0,181	0,152	0,149	0,184	0,169	0,047	0,164	0,174
Siberian	0,094	0,094	0,091	0,102	0,154	0,089	0,122	0,027	0,089	0,019	0,087	0,088	0,076	0,078	0,091	0,087	0,039	0,087	0,04	0,084	0,099	0,089	0,076	0,088	0,098	0,137	0,135	0,181	0	0,062	0,065	0,034	0,066	0,155	0,09	0,105
South_Asian	0,117	0,049	0,045	0,061	0,124	0,049	0,089	0,065	0,048	0,064	0,048	0,042	0,044	0,045	0,05	0,046	0,065	0,044	0,052	0,039	0,059	0,048	0,035	0,047	0,061	0,119	0,102	0,152	0,062	0	0,017	0,067	0,049	0,125	0,045	0,063
South_Central_Asian	0,117	0,03	0,024	0,041	0,12	0,028	0,083	0,073	0,027	0,069	0,028	0,021	0,025	0,026	0,029	0,024	0,074	0,022	0,061	0,019	0,043	0,027	0,014	0,026	0,05	0,128	0,096	0,149	0,065	0,017	0	0,075	0,034	0,122	0,023	0,042
South_Chinese	0,11	0,104	0,103	0,115	0,157	0,103	0,126	0,008	0,102	0,017	0,101	0,099	0,092	0,094	0,104	0,1	0,009	0,1	0,016	0,095	0,108	0,103	0,089	0,102	0,105	0,134	0,139	0,184	0,034	0,067	0,075	0	0,084	0,158	0,102	0,116
Volga-Ural	0,123	0,049	0,044	0,048	0,141	0,035	0,103	0,08	0,037	0,075	0,033	0,04	0,028	0,029	0,037	0,034	0,084	0,034	0,074	0,039	0,058	0,034	0,032	0,033	0,07	0,146	0,116	0,169	0,066	0,049	0,034	0,084	0	0,142	0,043	0,052
West_African	0,205	0,123	0,134	0,149	0,031	0,14	0,027	0,156	0,138	0,155	0,14	0,127	0,137	0,139	0,14	0,132	0,156	0,133	0,146	0,116	0,101	0,139	0,129	0,139	0,056	0,197	0,057	0,047	0,155	0,125	0,122	0,158	0,142	0	0,136	0,147
West_Caucasian	0,141	0,028	0,02	0,038	0,135	0,027	0,095	0,1	0,025	0,095	0,029	0,017	0,029	0,03	0,028	0,022	0,1	0,018	0,088	0,017	0,043	0,027	0,013	0,026	0,057	0,152	0,108	0,164	0,09	0,045	0,023	0,102	0,043	0,136	0	0,036
West_Med	0,156	0,035	0,033	0,034	0,146	0,029	0,104	0,114	0,028	0,109	0,032	0,025	0,034	0,034	0,028	0,019	0,114	0,019	0,102	0,026	0,044	0,028	0,03	0,027	0,065	0,165	0,118	0,174	0,105	0,063	0,042	0,116	0,052	0,147	0,036	0