European populations ranked by Ancient Admixture

[J. Ketch]

From Global 25 data.

Barcin Neolithic (Anatolian Farmers)

Sardinian - 81.4%
Italian Bergamo - 60.6%
Albanian - 56.6%
Spanish Castilla La Mancha - 56.6%
Basque Spanish - 56.4%
Spanish Andalusian - 56.2%
Spanish Aragon - 56.2%
Spanish Valencia - 56.2%
Spanish Murcia - 56%
Basque French - 55.6%
French South - 55.4%
Italian Tuscan - 54.4%
Spanish Catalonia - 54.4%
Portuguese - 54.2%
Spanish Canarias - 53.4%
Spanish Galician - 52.2%
Greek - 52%
Macedonian - 52%
Italian Abruzzo - 50%
Romanian - 50%
Bulgarian - 49.6%
Serbian - 49.4%
Montenegrin - 49.2%
Maltese - 48.6%
French - 48.4%
French East - 46.8%
Sicilian East - 46%
Italian South - 46%
Sicilian West - 45.6%
Bosnian - 45.4%
Belgian - 44.8%
Moldovan - 43.6%
Austrian - 42.8%
Croatian - 42.8%
Slovenian - 42.8%
Sephardic Jewish - 42.6%
Hungarian - 41.2%
Ashkenazi Jewish - 40.8%
German - 40.6%
Cornish - 39.8%
English - 38.8%
Greek Cretan - 38.6%
Czech - 37.6%
Dutch - 37.6%
Scottish - 37.4%
Orcadian - 37%
Welsh - 37%
Irish - 36.8%
Shetlandic - 36.6%
Slovakian - 36.2%
Norwegian - 34%
Icelandic - 33.8%
Cypriot - 33.6%
Swedish - 33.6%
Polish - 33.4%
Ukrainian - 33.2%
Russian Voronez - 31.4%
Russian Orel - 30.4%
Russian Smolensk - 30.2%
Roma - 29.8%
Belarusian - 29.6%
Russian Kursk - 29.4%
Turkish Istanbul - 29.2%
Russian Tver - 26.6%
Lithuanian - 26.4%
Mordovian - 24.2%
Russian Kostroma - 24.2%
Estonian - 24%
Finnish - 23%
Latvian - 21.8%
Karelian - 18.2%
Tatar - 18%
Finnish East - 16%
Saami - 5.4%

Yamnaya Samara (Proto Indo-European)

Finnish East - 56.4%
Latvian - 56.4%
Karelian - 55.6%
Mordovian - 55.6%
Russian Kostroma - 55.6%
Estonian - 55.4%
Russian Tver - 55.4%
Finnish - 55%
Russian Kursk - 54.6%
Russian Orel - 54.2%
Belarusian - 52.8%
Russian Smolensk - 52.6%
Russian Voronez - 52.6%
Lithuanian - 52.4%
Ukrainian - 52%
Tatar - 51.8%
Saami - 51.6%
Shetlandic - 51%
Mari - 50.8%
Norwegian - 50.8%
Polish - 50.6%
Icelandic - 50.2%
Swedish - 50%
Irish - 49.6%
Slovakian - 49.6%
Dutch - 48.8%
Scottish - 48.8%
Czech - 48.6%
Orcadian - 48.4%
Welsh - 48.4%
English - 47%
Hungarian - 46.8%
Bosnian - 46.2%
Moldovan - 46.2%
Cornish - 46%
Croatian - 46%
German - 46%
Austrian - 45.4%
Slovenian - 45.2%
Belgian - 43.4%
Serbian - 43.4%
Montenegrin - 43.2%
Macedonian - 42.6%
Romanian - 42.4%
East French - 41%
Bulgarian - 40%
French - 39.6%
Italian Bergamo - 33.2%
Albanian - 33%
Greek - 31.6%
Spanish Valencia - 30.4%
Italian Tuscan - 30.2%
Spanish Galician - 30.2%
Spanish Andalusian - 30%
Portuguese - 29.6%
Spanish Catalonia - 29.6%
Spanish Aragon - 28.8%
Spanish Castilla La Mancha - 28.8%
Spanish Murcia - 28%
French South - 27.8%
Spanish Canarias - 25.8%
Basque French - 25.2%
Italian Abruzzo - 25.2%
Basque Spanish - 24%
Maltese - 22.8%
Italian South - 22.4%
Turkish Istanbul - 21.8%
Ashkenazi Jewish - 21.4%
Sicilian East - 19.4%
Sicilian West - 19.4%
Roma - 17%
Greek Cretan - 14.6%
Sephardic Jewish - 14.4%
Cypriot - 4.8%
Sardinian - 3.8%

Western Hunter Gatherer

Latvian - 21.8%
Lithuanian - 21.2%
Estonian - 20.4%
Basque Spanish - 19.6%
Finnish East - 19.4%
Karelian - 19.4%
Basque French - 19.2%
Finnish - 18.4%
Belarusian - 17.6%
Russian Smolensk - 17.2%
Saami - 17.2%
French South - 16.6%
Swedish - 16.4%
Icelandic - 16%
Polish - 16%
Russian Tver - 16%
Russian Voronez - 16%
Russian Kostroma - 15.4%
Norwegian - 15.2%
Russian Kursk - 15.2%
Russian Orel - 15%
Ukrainian - 14.8%
Orcadian - 14.6%
Welsh - 14.6%
Cornish - 14.2%
English - 14.2%
Slovakian - 14.2%
Mordovian - 14%
Czech - 13.8
Scottish - 13.8%
Dutch - 13.6%
Irish - 13.6%
German - 13.4%
Spanish Catalonia - 13.4%
Sardinian - 13.2%
Spanish Aragon - 12.8%
Shetlandic - 12.4%
East French - 12.2%
French - 12%
Slovenian - 12%
Spanish Castilla La Mancha - 12%
Spanish Galician - 12%
Austrian - 11.8%
Belgian - 11.8%
Hungarian - 11.8%
Spanish Valencia - 11.8%
Spanish Murcia - 11.6%
Croatian - 11%
Portuguese - 10.8%
Spanish Andalusian - 10%
Spanish Canarias - 9.8%
Moldovan - 8.8%
Bosnian - 8.4%
Mari - 8%
Montenegrin - 7.4%
Tatar - 6.6%
Serbian - 6.4%
Italian Bergamo - 6.2%
Romanian - 5.8%
Bulgarian - 5.4%
Sicilian West - 5%
Macedonian - 4.6%
Italian Tuscan - 3.8%
Greek - 3%
Roma - 2.8%
Albanian - 2.6%
Sicilian East - 2.2%
Italian Abruzzo - 2%
Greek Cretan - 1.8%
Italian South - 1.6%
Ashkenazi Jewish - 0.8%
Maltese - 0.8%
Turkish Istanbul - 0.2%

Armenia Early Bronze Age

Cypriot - 40.8%
Greek Cretan - 35.4%
Turkish Istanbul - 33%
Sicilian East - 21%
Italian South - 20.4%
Sephardic Jewish - 19.4%
Sicilian West - 16%
Italian Abruzzo - 15.4%
Ashkenazi Jewish - 14.2%
Roma - 11%
Greek - 10.8%
Maltese - 10%
Italian Tuscan - 9%
Albanian - 6.8%
Bulgarian - 3.4%

Natufian

Ashkenazi Jewish - 15.4%
Cypriot - 15.2%
Sephardic Jewish - 13.4%
Maltese - 10.2%
Sicilian East - 9.6%
Sicilian West - 9.6%
Greek Cretan - 8.2%
South Italian - 7.6%
Italian Abruzzo - 6%
Roma - 5%
Turkish Istanbul - 4.6%
Saami - 3.2%
Italian Tuscan - 2.6%
Finnish East - 2.6%
Greek - 2.4%
Mari - 1.4%
Bulgarian - 1%
Karelian - 1%
Macedonian - 0.8%
Serbian - 0.8%
Tatar - 0.6%
Romanian - 0.4%
Albanian - 0.2%
Croatian - 0.2%
Moldovan - 0.2%
Mordovian - 0.2%
Russian Kostroma - 0.2%

Yoruba (Sub Saharan African)

Maltese - 1%
Spanish Canarias - 0.8%
Sicilian West - 0.8%
Sicilian East - 0.6%
Ashkenazi Jewish - 0.2%
Sephardic Jewish - 0.2%
South Italian - 0.2%

Iran Neolithic

Sephardic Jewish - 7.8%
Ashkenazi Jewish - 6.2%
Cypriot - 5.6%
Maltese - 4.6%
Turkish Istanbul - 3.2%
Sicilian West - 2.6%
Italian South - 1.8%
Greek Cretan - 1.4%
Italian Abruzzo - 1.4%
Sicilian East - 0.4%

Han (Mongoloid)

Mari - 18%
Saami - 16.2%
Tatar - 15%
Mordovian - 6%
East Finnish - 5.6%
Karelian - 5.6%
Turkish Istanbul - 5.4%
Russian Kostroma - 4.6%
Finnish - 3.6%
Russian Tver - 2%
Moldovan - 1.2%
Ashkenazi Jewish - 1%
Albanian - 0.8%
Romanian - 0.8%
Russian Kursk - 0.8%
Roma - 0.6%
Bulgarian - 0.6%
Russian Orel - 0.4%
Estonian - 0.2%
Greek - 0.2%
Hungarian - 0.2%
Montenegrin - 0.2%
Spanish Murcia - 0.2%

Iberomaurusian

Spanish Canarias - 10%
Spanish Galician - 5.6%
Portuguese - 5.4%
Spanish Murcia - 4%
Spanish Andalusian - 3.6%
Spanish Castilla La Mancha - 2.6%
Spanish Catalonia - 2.6%
Sephardic Jewish - 2.2%
Spanish Aragon - 2.2%
Maltese - 2%
Spanish Valencia - 1.6%
Sardinian - 0.8%
Sicilian West - 0.4%
South French - 0.2%

[Aren]

Not really informative unless you are getting the same fit for all populations.
I'm 100% sure you are getting really bad fits for Eastern Euros with a simple Steppe-Anatolian-WHG run. The population ancestral to modern Balto-Slavs hasn't been sampled yet which is why their Yamnaya is inflated, it should be much lower.

[J. Ketch]

Not really informative unless you are getting the same fit for all populations.
I'm 100% sure you are getting really bad fits for Eastern Euros with a simple Steppe-Anatolian-WHG run. The population ancestral to modern Balto-Slavs hasn't been sampled yet which is why their Yamnaya is inflated, it should be much lower.
Granted. I think people will find it interesting anyway and it is broadly informative, the high Yamnaya of Balto-Slavs denotes some degree of similarity with their ancestral population. It's not to be taken too literally.

[Mopi The Dire Wolf]

nice thread :thumb001:

[Aren]

Granted. I think people will find it interesting anyway and it is broadly informative, the high Yamnaya of Balto-Slavs denotes some degree of similarity with their ancestral population. It's not to be taken too literally.

Why are you only using WHG? Why not Baltic-HG and EHG? Surely you don't think HG found in Luxembourg and France are ancestral to modern Eastern Euros. That's one of the reason Yamnaya is too high. Or maybe you think Saami are 50%+ Yamnaya.

[J. Ketch]

Why are you only using WHG? Why not Baltic-HG and EHG? Surely you don't think HG found in Luxembourg and France are ancestral to modern Eastern Euros. That's one of the reason Yamnaya is too high. Or maybe you think Saami are 50%+ Yamnaya.
Because it's one size fits all comparison and more disparate populations are better for that. Obviously I don't think WHG are ancestral to Eastern Europeans, but they're a better fit for Balts than Baltic Hunter Gathers/SHG are for Western Europeans.

[J. Ketch]

Double post.

[Aren]

Because it's one size fits all comparison and more disparate populations are better for that. Obviously I don't think WHG are ancestral to Eastern Europeans, but they're a better fit for Balts than Baltic Hunter Gathers/SHG are for Western Europeans.

My point is you should be using both. Because WHG is not ancestral to Eastern Euros which is why Yamnaya is inflated, cause they want a more ANE-rich source without that much of CHG that Yamnaya gives. Either way I've experiented a lot with the PCA 25 spreadsheet on nMonte, there's no way to get even a decent fit for Eastern Euros using the samples we have so far. There's something off about the Hunter-Gatherer source for them. So it's a valid effort but rather useless since the fits vary a lot, with some being really awful(like for Lithuanians and Latvians).

[J. Ketch]

My point is you should be using both. Because WHG is not ancestral to Eastern Euros which is why Yamnaya is inflated, cause they want a more ANE-rich source without that much of CHG that Yamnaya gives. Either way I've experiented a lot with the PCA 25 spreadsheet on nMonte, there's no way to get even a decent fit for Eastern Euros using the samples we have so far. There's something off about the Hunter-Gatherer source for them. So it's a valid effort but rather useless since the fits vary a lot, with some being really awful(like for Lithuanians and Latvians).
Too late now, maybe another day.

[Grace O'Malley]

This is my result with those categories

Fit 4.2883

Armenia_EBA 0
Barcin_N 33.33
Han 0
Iberomaurusian 0
Iranian_Zorostrian 0
Natufian 0
WHG 15
Yamnaya_Samara 51.67
Yoruba 0

[Token]

Yamnaya is inflated in Eastern Europeans here, you need to add a outgroup to catch the extra EHG.

[Peterski]

Not really informative unless you are getting the same fit for all populations.
I'm 100% sure you are getting really bad fits for Eastern Euros with a simple Steppe-Anatolian-WHG run. The population ancestral to modern Balto-Slavs hasn't been sampled yet which is why their Yamnaya is inflated, it should be much lower.
Yamnaya is inflated in Eastern Europeans here, you need to add a outgroup to catch the extra EHG.

Steppe ancestors of Balto-Slavs were not Yamnaya but Sredni Stog II, people like I6561:

https://www.theapricity.com/forum/showthread.php?221794-R1a-M417-in-Copper-Age-Alexandria


Published yesterday, the oldest R1a-M417 so far (M417 is ancestral to all Indo-European R1a):

http://www.biorxiv.org/content/early/2017/09/19/135616

http://www.biorxiv.org/highwire/filestream/57903/field_highwire_adjunct_files/1/135616-2.xlsx

I6561, Alexandria, Ukraine, 3500 BC, Y DNA R1a1a1 M417, mtDNA H2a1a.

Alexandria (1 individual). An Eneolithic cemetery of the Sredny Stog II culture was excavated by D. Telegin in 1955-1957 near the village of Alexandria, Kupyansk district, Kharkov region on the left bank of the river Oskol.105 A total of 33 individuals were recovered.106 Based on craniometric analysis (I.Potekhina 1999) it was suggested that the Eneolithic inhabitants of Alexandria were not homogeneous and resulted from admixture of local Neolithic hunter-gatherers and early farmers, possibly Trypillian groups.107 We report genetic data from one individual: I6561.

Autosomally he could be similar to the later Central European Corded Ware culture individuals because it seems, that he already had Neolithic Farmer admixture (from Trypillian culture).

His mtDNA probably points also to the presence of CHG admixture.

https://i.imgur.com/8TbQ44f.png

[Peterski]

Corded Ware culture is equally old as Yamnaya. So Yamnaya cannot be ancestral to Corded Ware.

Instead, both cultures have a common ancestor culture in the Steppe.

[Token]

Steppe ancestors of Balto-Slavs were not Yamnaya but Sredni Stog II:

https://www.theapricity.com/forum/showthread.php?221794-R1a-M417-in-Copper-Age-Alexandria
It is very much possible that Corded Ware expanded from Sredny Stog and not from Yamnaya. They have R1a, corded pottery, stone Battle-Axes and a identical genetic profile. But there is a ~600 years gap from the replacement of Sredny Stog in the North Pontic steppes to the emergence of Corded Ware, what were they doing during all this time?

[michal3141]

michal3141

Yamnaya_Samara,48.4
WHG,19.6
Barcin_N,14.8
Armenia_EBA,7.8
Iranian_Zoroastrian,5.6
Natufian,3.2
Iberomaurusian,0.4
Han,0.2

[J. Ketch]

How accurate/useful would these combinations be for me? They're probably the best fits I can get for this timeframe.

Fit 3.8709
Poltavka 50.83
Ukraine_N_o 35.83
WHG 13.33

Fit 3.8778
Baltic HG 2.5
Poltavka 50.83
Ukraine N O 35.83
WHG 10.83

Fit 3.9187
Poltavka 47.5
SHG 9.17
Ukraine_N_o 36.67
WHG 6.67

Fit 3.8856
Baltic HG 4.17
Poltavka 49.17
SHG 2.5
Ukraine N O 36.67
WHG 7.5

My mother gets distances in the region of the 3.0-1 with these outgroups.

[kaltar]

Granted. I think people will find it interesting anyway and it is broadly informative, the high Yamnaya of Balto-Slavs denotes some degree of similarity with their ancestral population. It's not to be taken too literally.

The other problem is that you're using Global 25 spreadsheet and not all ethnic averages are accurate in the same way. So this also ends up influencing the results.

nice thread anyway

[FilhoV]

Barcin_N,57.6
Yamnaya_Samara,28.2
WHG,8.6
Iberomaurusian,3.8
Yoruba,1.8

[Grace O'Malley]

Surprised this combo isn't too bad.

Fit 3.309

Poltavka 52.5
Ukraine_N_o 34.17
WHG 13.33

Fit 3.2768

Baltic_HG 1.67
Poltavka 51.67
Ukraine_N_o 34.17
WHG 12.5

Fit 3.3628

Poltavka 48.33
SHG 8.33
Ukraine_N_o 35
WHG 8.33

Fit 3.3489

Baltic_HG 2.5
Poltavka 49.17
SHG 5.83
Ukraine_N_o 35
WHG 7.5

[JQP4545]

For my mom (1/2 German and the rest mostly Irish and distant French Canadian):

Yamnaya_Samara,43.6
Barcin_N,43.4
WHG,13

[FilhoV]

distance%=2.0901"

FilhoV_scaled

Italian_Tuscan,42.4
Iberia_BA,28.6
England_Roman,15.6
Mozabite,13.4

[Imperator Biff]

"distance%=5.8128"

Yamnaya_Samara,48.8
Barcin_N,38
WHG,13.2

[Imperator Biff]

Surprised this combo isn't too bad.

Fit 3.309

Poltavka 52.5
Ukraine_N_o 34.17
WHG 13.33

Fit 3.2768

Baltic_HG 1.67
Poltavka 51.67
Ukraine_N_o 34.17
WHG 12.5

Fit 3.3628

Poltavka 48.33
SHG 8.33
Ukraine_N_o 35
WHG 8.33

Fit 3.3489

Baltic_HG 2.5
Poltavka 49.17
SHG 5.83
Ukraine_N_o 35
WHG 7.5
Try this

“distance%=2.9739"


Ireland_EBA,88.8
Ireland_MN,8
Barcin_N,3.2

[Sikeliot]

I am confused why the Armenia component is 10% in Malta, 20% in Sicily and 30%+ in Crete, when all these populations are closely plotting.

[Warmian]

Yamnaya Samara (Proto Indo-European)

Finnish East - 56.4%

Coon was right, again as usual.

[J. Ketch]

Coon was right, again as usual.
As Aren said, don't take this literally, Yamnaya in this case is a stand in for Yamnaya-like NE European ancestry.

[J. Ketch]

"distance%=5.8128"

Yamnaya_Samara,48.8
Barcin_N,38
WHG,13.2
Same exact amount of Yamnaya as me, I have more WHG though.

[1] "distance%=5.8442"

Yamnaya_Samara,48.8
Barcin_N,36.4
WHG,14.8

[Warmian]

As Aren said, don't take this literally, Yamnaya in this case is a stand in for Yamnaya-like NE European ancestry.

And Coon said Finns were half descended of the same type of people that first developed PIE. So yes I will take this literal not withstanding.

[J. Ketch]

Same exact amount of Yamnaya as me, I have more WHG though.

[1] "distance%=5.8442"

Yamnaya_Samara,48.8
Barcin_N,36.4
WHG,14.8
My father's score from Ireland

[1] "distance%=6.1032"

Yamnaya_Samara,49.6
Barcin_N,35
WHG,15.4

[Grace O'Malley]

Try this

“distance%=2.9739"


Ireland_EBA,88.8
Ireland_MN,8
Barcin_N,3.2


Fit 2.7525

Barcin_N 2.5
Ireland_EBA 93.33
Ireland_MN 4.17


Fit 4.5468

Barcin_N 33.33
WHG 13.33
Yamnaya_Samara 53.33

[J. Ketch]

Fit 2.7525

Barcin_N 2.5
Ireland_EBA 93.33
Ireland_MN 4.17


Fit 4.5468

Barcin_N 33.33
WHG 13.33
Yamnaya_Samara 53.33
The webrunner produces slightly different scores and better fits than R, for whatever reason.

pen=0

Fit 4.9077
Barcin_N 34.17
WHG 15.83
Yamnaya_Samara 50

pen=0.001

Fit 5.4205
Barcin N 34.17
WHG 13.33
Yamnaya Samara 52.5

pen=0.001

Fit 3.2961
Barcin N 1.67
Ireland EBA 91.67
Ireland MN 6.67

[Imperator Biff]

The webrunner produces slightly different scores and better fits than R, for whatever reason.

pen=0

Fit 4.9077
Barcin_N 34.17
WHG 15.83
Yamnaya_Samara 50

pen=0.001

Fit 5.4205
Barcin N 34.17
WHG 13.33
Yamnaya Samara 52.5

pen=0.001

Fit 3.2961
Barcin N 1.67
Ireland EBA 91.67
Ireland MN 6.67

Interesting, I’ll have to tryout the web runner then so and see what kind of fit I come out with.

[FilhoV]

K25 results


Algerian Chaoui Result
[1] "distance%=2.8059"

Chaoui_scaled

Barcin_N,45.6
Iberomaurusian,27.6
Yamnaya_Samara,9.6
Armenia_EBA,7.8
Yoruba,5.4
WHG,2
Ethiopia_4500BP,1
Ganj_Dareh_N,1

[FilhoV]

Bump