Polako/Davidski Eurogenes plots

[Stanislav S]

EUtest V2 K15
1 Finnish + Lithuanian + South_Polish + Ukrainian_Lviv @ 3.314444

1       95.4%   Polish   +   4.6%   Dolgan   @   3.22
2       95.7%   Polish   +   4.3%   Evens   @   3.25
3       95.6%   Polish   +   4.4%   Evenki   @   3.25
4       95.5%   Polish   +   4.5%   Yakut   @   3.29
5       94.6%   Polish   +   5.4%   Saqqaq   @   3.44
6       95.7%   Polish   +   4.3%   Oroqen   @   3.53
7       95.5%   Polish   +   4.5%   Koryak   @   3.59
8       95.2%   Polish   +   4.8%   Buryat   @   3.65
9       94.7%   Polish   +   5.3%   Ket           @   3.68
10       95%           Polish   +      5%Tuvinian   @   3.71
11       94.4%   Polish   +   5.6%   Altaian   @   3.73
12       96.2%   South_Polish+3.8%   Dolgan   @   3.74

[FenriR]

ожидается новый калькулятор, основанный на образцах из Lazaridis et al. 2016
http://eurogenes.blogspot.de/2016/06/d-statsnmonte-open-thread-3.html?showComment=1466945702660#c4172359421239238961

Davidski said...
I'm still getting to know these samples. Once I figure out what they're about I'll be able to use them accordingly in a new test. The Eurogenes selection at GEDmatch does need updating, so yeah.
June 26, 2016 at 5:55 AM

[Humbaba]

Eurogenes K13

Мой папа (еврей; Y-ДНК: J1-ZS2434; мтДНК: U7a5)

Admix Results (sorted):

#   Population   Percent
1   East_Med   35.78
2   West_Med   19.04
3   North_Atlantic   16.71
4   West_Asian   10.89
5   Baltic   8.63
6   Red_Sea   5.33
7   South_Asian   1.95
8   East_Asian   1.13


Finished reading population data. 204 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Ashkenazi @ 3.101251
2 East_Sicilian @ 7.326695
3 Italian_Jewish @ 7.545469
4 South_Italian @ 7.575171
5 Sephardic_Jewish @ 8.415627
6 Algerian_Jewish @ 8.678719
7 Central_Greek @ 8.723615
8 West_Sicilian @ 9.429933
9 Italian_Abruzzo @ 11.075230
10 Tunisian_Jewish @ 12.082103
11 Libyan_Jewish @ 12.906342
12 Greek_Thessaly @ 13.430422
13 Tuscan @ 16.400160
14 Cyprian @ 16.886238
15 Lebanese_Muslim @ 20.668343
16 Syrian @ 21.793491
17 Bulgarian @ 22.947962
18 Samaritan @ 23.039751
19 Palestinian @ 23.238127
20 Jordanian @ 23.471920

Using 2 populations approximation:
1 50% Ashkenazi +50% Ashkenazi @ 3.101251


Using 3 populations approximation:
1 50% Ashkenazi +25% Lebanese_Druze +25% North_Italian @ 2.525128


Using 4 populations approximation:
1 Ashkenazi + Ashkenazi + Lebanese_Druze + North_Italian @ 2.525128
2 Ashkenazi + Ashkenazi + Ashkenazi + Italian_Jewish @ 2.525799
3 Ashkenazi + Ashkenazi + Ashkenazi + Sephardic_Jewish @ 2.711972
4 Ashkenazi + Ashkenazi + Ashkenazi + South_Italian @ 2.860894
5 Ashkenazi + Ashkenazi + Central_Greek + Italian_Jewish @ 2.903197
6 Ashkenazi + Greek_Thessaly + Italian_Jewish + Italian_Jewish @ 2.938966
7 Ashkenazi + Ashkenazi + East_Sicilian + Italian_Jewish @ 2.978379
8 Ashkenazi + Ashkenazi + Italian_Abruzzo + Italian_Jewish @ 3.034344
9 Ashkenazi + Ashkenazi + Italian_Jewish + West_Sicilian @ 3.048953
10 Ashkenazi + Ashkenazi + Lebanese_Druze + Tuscan @ 3.057564
11 Ashkenazi + Ashkenazi + Italian_Jewish + South_Italian @ 3.063796
12 Ashkenazi + Ashkenazi + Lebanese_Christian + North_Italian @ 3.100687
13 Ashkenazi + Ashkenazi + Ashkenazi + Ashkenazi @ 3.101251
14 Ashkenazi + Italian_Jewish + Lebanese_Druze + North_Italian @ 3.144769
15 Ashkenazi + Greek_Thessaly + Italian_Jewish + Sephardic_Jewish @ 3.182374
16 Algerian_Jewish + Ashkenazi + Ashkenazi + Ashkenazi @ 3.191588
17 Algerian_Jewish + Ashkenazi + Lebanese_Druze + North_Italian @ 3.219344
18 Ashkenazi + Ashkenazi + Sephardic_Jewish + West_Sicilian @ 3.296786
19 Ashkenazi + Ashkenazi + Central_Greek + Sephardic_Jewish @ 3.331463
20 Ashkenazi + Ashkenazi + Greek_Thessaly + Italian_Jewish @ 3.357651




Моя мама (британская; Y-ДНК: R1b-U152; мтДНК: J1c5)

Admix Results (sorted):

#   Population   Percent
1   North_Atlantic   53.05
2   Baltic   22.93
3   West_Med   13.76
4   West_Asian   3.46
5   East_Med   3.35
6   South_Asian   1.87
7   Red_Sea   1.16


Finished reading population data. 204 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Southwest_English @ 2.736439
2 West_Scottish @ 3.244327
3 Orcadian @ 3.517967
4 Southeast_English @ 3.574407
5 Irish @ 4.118265
6 North_Dutch @ 5.859630
7 Danish @ 6.299067
8 Norwegian @ 7.839629
9 North_German @ 8.975196
10 South_Dutch @ 10.000825
11 Swedish @ 10.858955
12 West_German @ 11.807209
13 French @ 15.035680
14 North_Swedish @ 17.596037
15 Austrian @ 18.409115
16 East_German @ 18.702501
17 Spanish_Cataluna @ 22.259493
18 Southwest_French @ 22.833946
19 Spanish_Castilla_Y_Leon @ 23.401331
20 Spanish_Cantabria @ 23.505598

Using 2 populations approximation:
1 50% Southwest_English +50% West_Scottish @ 2.389854


Using 3 populations approximation:
1 50% Southeast_English +25% Southwest_English +25% West_Scottish @ 2.381864


Using 4 populations approximation:
1 Southeast_English + Southwest_English + Southwest_English + West_Scottish @ 2.238837
2 Southeast_English + Southwest_English + West_Scottish + West_Scottish @ 2.261215
3 Southeast_English + Southeast_English + Southwest_English + West_Scottish @ 2.381864
4 Southwest_English + Southwest_English + West_Scottish + West_Scottish @ 2.389854
5 Orcadian + Southwest_English + Southwest_English + West_Scottish @ 2.399714
6 Orcadian + Southeast_English + Southwest_English + West_Scottish @ 2.405423
7 Southwest_English + Southwest_English + Southwest_English + West_Scottish @ 2.413008
8 Southeast_English + Southeast_English + West_Scottish + West_Scottish @ 2.420424
9 Orcadian + Southwest_English + Southwest_English + Southwest_English @ 2.476946
10 Orcadian + Southeast_English + Southwest_English + Southwest_English @ 2.478590
11 Irish + Southeast_English + Southwest_English + Southwest_English @ 2.511645
12 Danish + Southwest_English + Southwest_English + Southwest_English @ 2.516330
13 Irish + Southeast_English + Southwest_English + West_Scottish @ 2.522455
14 Orcadian + Orcadian + Southwest_English + Southwest_English @ 2.548872
15 Southeast_English + Southwest_English + Southwest_English + Southwest_English @ 2.584332
16 Danish + Southwest_English + Southwest_English + West_Scottish @ 2.597174
17 Southeast_English + West_Scottish + West_Scottish + West_Scottish @ 2.597390
18 Irish + Southwest_English + Southwest_English + West_Scottish @ 2.626618
19 North_Dutch + Southwest_English + Southwest_English + Southwest_English @ 2.629165
20 Irish + Southwest_English + Southwest_English + Southwest_English @ 2.633650



Mои результаты

Admix Results (sorted):

#   Population   Percent
1   North_Atlantic   33.82
2   East_Med   18.32
3   West_Med   16.89
4   Baltic   16.08
5   West_Asian   8.39
6   Red_Sea   3.46
7   South_Asian   2.53
8   Northeast_African   0.32
9   East_Asian   0.15
10   Oceanian   0.04

Single Population Sharing:

#   Population (source)   Distance
1   North_Italian   9.36
2   French   11.08
3   Romanian   11.61
4   Tuscan   11.62
5   Portuguese   11.82
6   Serbian   12.06
7   Spanish_Galicia   12.83
8   Spanish_Cataluna   12.95
9   Spanish_Extremadura   13.01
10   Bulgarian   13.39
11   West_German   13.47
12   Spanish_Murcia   13.5
13   Spanish_Castilla_Y_Leon   13.68
14   Spanish_Valencia   14.16
15   South_Dutch   14.68
16   Greek_Thessaly   14.88
17   Spanish_Andalucia   15.03
18   Spanish_Castilla_La_Mancha   15.49
19   Austrian   15.59
20   Italian_Abruzzo   15.95

Mixed Mode Population Sharing:

#       Primary Population (source)   Secondary Population (source)   Distance
1       56.4%   West_Sicilian   +   43.6%   Danish   @   1.78
2       50.5%   Southwest_English   +   49.5%   Ashkenazi   @   1.89
3       66.7%   West_German   +   33.3%   Sephardic_Jewish   @   2.05
4       55.8%   Danish   +   44.2%   Algerian_Jewish   @   2.12
5       50.1%   Southeast_English   +   49.9%   East_Sicilian   @   2.13
6       54.5%   West_Sicilian   +   45.5%   North_German   @   2.13
7       66.9%   West_German   +   33.1%   Italian_Jewish   @   2.18
8       64.7%   South_Dutch   +   35.3%   Sephardic_Jewish   @   2.19
9       64.9%   South_Dutch   +   35.1%   Italian_Jewish   @   2.2
10       56.7%   West_Sicilian   +   43.3%   North_Dutch   @   2.25
11       59.1%   West_Sicilian   +   40.9%   Norwegian   @   2.29
12       51.5%   Ashkenazi   +   48.5%   West_Scottish   @   2.29
13       67.7%   West_German   +   32.3%   Algerian_Jewish   @   2.31
14       60.4%   South_Dutch   +   39.6%   Ashkenazi   @   2.31
15       51.2%   Ashkenazi   +   48.8%   Irish   @   2.34
16       50.2%   Danish   +   49.8%   South_Italian   @   2.38
17       55.5%   North_Dutch   +   44.5%   Algerian_Jewish   @   2.38
18       52.4%   Southeast_English   +   47.6%   Ashkenazi   @   2.43
19       68%   South_Dutch   +   32%   Tunisian_Jewish   @   2.45
20       65.7%   South_Dutch   +   34.3%   Algerian_Jewish   @   2.46

[Stanislav S]

Eurogenes K13

Не могли бы Вы дать мне свой кит- номер на Гедматче, что бы я пополнил свою коллекцию по Eurogenes K-36, в плане евреев?

[valera27]

Eurogenes K13

Не могли бы Вы дать мне свой кит- номер на Гедматче, что бы я пополнил свою коллекцию по Eurogenes K-36, в плане евреев?

Если Вы имеете в виду ашкенази, то нет ничего проще, чем собрать такую коллекцию))) Для этого нужно всего лишь знать номер одного еврея, либо нееврея со значимой ашкеназской примесью. Дальше режим one-to-many выдаст бесчисленное количество совпаденцев.
Прежде чем внести номера в выборку, останется только проверить их на "чистокровность"; тут достаточно даже JTestа - поскольку количество "кандидатов" в выборку на Гедматче невероятно много, можно задать высокую планку - например от 28% Ашкенази (при этом ИстМед должен быть больше 20%, но меньше, чем Ашкенази, дабы исключить у человека примесь восточных евреев).

[andronn]

Мать:
Eurogenes EUtest V2 K15 Oracle results:
   Population   Percent
1    Baltic    27.39
2    North_Sea    21.85
3    Eastern_Euro    21.34
4    Atlantic    15.25
5    West_Med    5.13
6    West_Asian    3.19
7    East_Med    2.26
8    South_Asian    2.06
9    Siberian    1.11
10    Oceanian    0.35
11    Sub-Saharan    0.05
Single Population Sharing:

#   Population (source)   Distance
1    Polish    3.89
2    Ukrainian    3.91
3    South_Polish    4.2
4    Southwest_Russian    4.53
5    Russian_Smolensk    5.17
6    Ukrainian_Lviv    5.3
7    Ukrainian_Belgorod    5.31
8    Estonian_Polish    5.62
9    Belorussian    5.66
10    Estonian    6.57
11    Kargopol_Russian    7.68
12    Lithuanian    8.76
13    East_Finnish    9.66
14    Croatian    10.09
15    Erzya    10.36
16    Finnish    10.37
17    Southwest_Finnish    11.55
18    Moldavian    11.78
19    Hungarian    11.95
20    East_German    13.79
Mixed Mode Population Sharing:

#       Primary Population (source)    Secondary Population (source)    Distance
1        67.3%   South_Polish    +    32.7%   Kargopol_Russian    @    2.21
2        74.3%   South_Polish    +    25.7%   Erzya    @    2.31
3        70.2%   Ukrainian    +    29.8%   Kargopol_Russian    @    2.37
4        82.5%   Southwest_Russian    +    17.5%   North_Swedish    @    2.53
5        77.4%   Polish    +    22.6%   Erzya    @    2.56
6        85.7%   Southwest_Russian    +    14.3%   Norwegian    @    2.57
7        56%   Ukrainian    +    44%   Southwest_Russian    @    2.6
8        87.1%   Southwest_Russian    +    12.9%   West_Norwegian    @    2.64
9        85.1%   Southwest_Russian    +    14.9%   Swedish    @    2.65
10        72%   Polish    +    28%   Kargopol_Russian    @    2.7
11        61.3%   Ukrainian_Lviv    +    38.7%   Kargopol_Russian    @    2.75
12        64%   Ukrainian    +    36%   Estonian_Polish    @    2.78
13        68.9%   Ukrainian_Belgorod    +    31.1%   Finnish    @    2.79
14        73.7%   Southwest_Russian    +    26.3%   Finnish    @    2.79
15        86.6%   Southwest_Russian    +    13.4%   West_German    @    2.83
16        78.8%   Ukrainian    +    21.2%   Erzya    @    2.84
17        76%   Southwest_Russian    +    24%   Southwest_Finnish    @    2.84
18        91.3%   Polish    +    8.7%   Chuvash    @    2.86
19        64.9%   Ukrainian    +    35.1%   Belorussian    @    2.89
20        88.8%   Southwest_Russian    +    11.2%   Orcadian    @    2.91
Using 2 populations approximation:
1 50% Southwest_Russian +50% Ukrainian @ 2.973081


Using 3 populations approximation:
1 50% Estonian +25% Kargopol_Russian +25% Moldavian @ 2.492075


Using 4 populations approximation:
1 Estonian + Kargopol_Russian + South_Polish + Ukrainian @ 1.913462
2 Erzya + Estonian + South_Polish + South_Polish @ 1.998668
3 Kargopol_Russian + Polish + Ukrainian + Ukrainian @ 2.005858
4 Erzya + Estonian + Estonian_Polish + Hungarian @ 2.027054
5 Estonian + Kargopol_Russian + South_Polish + Ukrainian_Lviv @ 2.054441
6 Estonian + Kargopol_Russian + South_Polish + South_Polish @ 2.059529
7 East_German + Erzya + Lithuanian + Ukrainian @ 2.059978
8 Kargopol_Russian + Polish + South_Polish + Ukrainian @ 2.089689
9 Belorussian + Erzya + Estonian + Hungarian @ 2.108195
10 Belorussian + Kargopol_Russian + Ukrainian + Ukrainian @ 2.116959
11 Estonian + Kargopol_Russian + Ukrainian + Ukrainian @ 2.118279
12 Kargopol_Russian + Polish + Polish + Ukrainian @ 2.146194
13 East_Finnish + Polish + Ukrainian + Ukrainian_Belgorod @ 2.151618
14 Erzya + Estonian + South_Polish + Ukrainian @ 2.168406
15 Belorussian + Kargopol_Russian + South_Polish + Ukrainian @ 2.170345
16 Kargopol_Russian + Polish + Ukrainian + Ukrainian_Lviv @ 2.186461
17 Belorussian + East_Finnish + Ukrainian + Ukrainian @ 2.187537
18 Croatian + Erzya + Estonian + Polish @ 2.196012
19 Belorussian + East_Finnish + Ukrainian + Ukrainian_Belgorod @ 2.198585
20 Kargopol_Russian + Polish + Polish + Ukrainian_Lviv @ 2.204387
Отец:
Admix Results (sorted):

#   Population   Percent
1    Baltic    27.18
2    North_Sea    24.28
3    Eastern_Euro    23.84
4    Atlantic    10.24
5    West_Med    6.63
6    West_Asian    2.11
7    East_Med    1.62
8    South_Asian    1.28
9    Siberian    0.77
10    Oceanian    0.73
11    Sub-Saharan    0.73
12    Amerindian    0.59
Single Population Sharing:

#   Population (source)   Distance
1    Ukrainian    6.34
2    Ukrainian_Lviv    7.8
3    Southwest_Russian    8.12
4    Estonian    8.36
5    Polish    8.44
6    South_Polish    8.46
7    Kargopol_Russian    8.68
8    Ukrainian_Belgorod    8.74
9    Estonian_Polish    9.34
10    Belorussian    9.61
11    Erzya    9.95
12    Russian_Smolensk    9.96
13    East_Finnish    10.45
14    Lithuanian    11.01
15    Finnish    11.72
16    Croatian    13.3
17    Moldavian    13.6
18    Southwest_Finnish    13.88
19    Hungarian    14.33
20    East_German    16.34

Mixed Mode Population Sharing:

#       Primary Population (source)    Secondary Population (source)    Distance
1        68.3%   Ukrainian    +    31.7%   Erzya    @    4.91
2        66.2%   Ukrainian    +    33.8%   Kargopol_Russian    @    5.27
3        60%   Ukrainian_Lviv    +    40%   Erzya    @    5.51
4        89.5%   Ukrainian    +    10.5%   Chuvash    @    5.52
5        91.9%   Ukrainian    +    8.1%   Mari    @    5.6
6        75.5%   Ukrainian    +    24.5%   East_Finnish    @    5.66
7        55.3%   Ukrainian_Lviv    +    44.7%   Kargopol_Russian    @    5.79
8        71.3%   Ukrainian    +    28.7%   Estonian    @    5.86
9        95.4%   Ukrainian    +    4.6%   MA-1    @    5.94
10        57.4%   South_Polish    +    42.6%   Erzya    @    6.16
11        73.4%   Erzya    +    26.6%   Swedish    @    6.17
12        79.3%   Ukrainian    +    20.7%   Southwest_Russian    @    6.19
13        89%   Ukrainian    +    11%   Finnish    @    6.22
14        89.2%   Ukrainian    +    10.8%   Lithuanian    @    6.24
15        98.4%   Ukrainian    +    1.6%   Selkup    @    6.24
16        98.7%   Ukrainian    +    1.3%   Ket    @    6.28
17        98.5%   Ukrainian    +    1.5%   Shors    @    6.28
18        88.8%   Ukrainian    +    11.2%   Ukrainian_Belgorod    @    6.29
19        90.4%   Ukrainian    +    9.6%   Estonian_Polish    @    6.29
20        96.6%   Ukrainian    +    3.4%   Tatar    @    6.3
Using 2 populations approximation:
1 50% Erzya +50% Ukrainian @ 6.872363


Using 3 populations approximation:
1 50% Erzya +25% Estonian +25% Ukrainian @ 6.821650


Using 4 populations approximation:
1 Erzya + Estonian + Ukrainian + Ukrainian @ 6.068496
2 Erzya + Estonian + Ukrainian + Ukrainian_Lviv @ 6.360318
3 Erzya + Ukrainian + Ukrainian + Ukrainian @ 6.475700
4 Erzya + Estonian + Estonian + Ukrainian @ 6.555299
5 Estonian + Kargopol_Russian + Ukrainian + Ukrainian @ 6.607953
6 East_Finnish + Erzya + Ukrainian + Ukrainian @ 6.619910
7 Erzya + Estonian + South_Polish + Ukrainian @ 6.677702
8 Erzya + Finnish + Ukrainian + Ukrainian @ 6.692016
9 Erzya + Estonian + Ukrainian_Lviv + Ukrainian_Lviv @ 6.693431
10 Erzya + Estonian + Estonian + Ukrainian_Lviv @ 6.743602
11 Erzya + Estonian + Polish + Ukrainian @ 6.759071
12 Erzya + Erzya + Estonian + Ukrainian @ 6.821650
13 Erzya + Ukrainian + Ukrainian + Ukrainian_Lviv @ 6.822298
14 East_Finnish + Erzya + Ukrainian + Ukrainian_Lviv @ 6.836316
15 Erzya + Kargopol_Russian + Ukrainian + Ukrainian @ 6.846081
16 Erzya + Polish + Ukrainian + Ukrainian @ 6.851007
17 Erzya + Erzya + Lithuanian + Swedish @ 6.866217
18 Erzya + Erzya + Ukrainian + Ukrainian @ 6.872363
19 Erzya + Estonian + Kargopol_Russian + Ukrainian @ 6.875163
20 Erzya + Erzya + North_Swedish + Ukrainian @ 6.892734

[Eiport]

Кто будет такой отзывчивый, чтобы не осведомленным читателям объяснил, что обозначают отдельные группы данных и как читать результаты?
Спасибо,
мы благодарим!

[Eiport]

Кто будет такой отзывчивый, чтобы не осведомленным читателям объяснил, что обозначают отдельные группы данных и как читать результаты?
Спасибо,
мы благодарим!

Ах, я уже догадался наконец, что это результаты исследования частного, andronna", аuDNA

[MaximN88]

А чем сейчас занимается Веселовский (Davidsky)? Просмотрел его блог, но по английски не понимаю. Понял только, что у него явно много интересных идей и он не сидит сложа руки.

[valera27]

Судя по блогу, древними ДНК, извлечёнными из ископаемых останков

[VictorV.]

Admix Results (sorted):

EUtest V2 K15

#   Population   Percent
1    Baltic    26.92
2    Eastern_Euro    21.61
3    Atlantic    21.59
4    North_Sea    16.15
5    West_Med    4.98
6    East_Med    2.19


Least-squares method.

Using 1 population approximation:
1 Russian_Smolensk @ 5.961379
2 Estonian_Polish @ 6.600037
3 Polish @ 7.097251
4 Belorussian @ 7.608575
5 Southwest_Russian @ 8.126449
6 Ukrainian_Belgorod @ 8.944868
7 South_Polish @ 9.000604
8 Ukrainian @ 10.860920
9 Kargopol_Russian @ 10.964006
10 Ukrainian_Lviv @ 11.776840

1 Austrian + Estonian_Polish + Estonian_Polish + Estonian_Polish @ 4.653025
2 Austrian + Estonian_Polish + Estonian_Polish + Russian_Smolensk @ 4.904712
3 Austrian + Estonian_Polish + Estonian_Polish + Kargopol_Russian @ 4.934803
4 Austrian + Belorussian + Estonian_Polish + Estonian_Polish @ 5.004648
5 Austrian + Estonian_Polish + Kargopol_Russian + Russian_Smolensk @ 5.136020
6 Austrian + Belorussian + Estonian_Polish + Kargopol_Russian @ 5.161695
7 Austrian + Estonian_Polish + Estonian_Polish + Southwest_Russian @ 5.164592
8 Austrian + Belorussian + Estonian_Polish + Russian_Smolensk @ 5.273463
9 Austrian + Estonian_Polish + Russian_Smolensk + Russian_Smolensk @ 5.295599
10 Erzya + Estonian_Polish + Lithuanian + Southwest_French @ 5.328948

[VictorV.]

Для визуальной  привязки здесь даю мою этнокарту с K27...



Пик приходится на границу Курской и Сумской областей, т.е. на Слобожанщину.

[VictorV.]

Виктор большое спасибо! Может быть у нас с Вами большой процент Атлантики через Польшу? У Вас все логично,юг России,а поляки могли быть через Слободскую Украину

Не думаю что поляки... у меня генеалогия неплохо проработана и я вижу, что "Атлантика" у меня  идёт от предков из  Липецкого уезда, Курщины, Слобожанщины, но от наёмных  служилых из Западной Европы - таковых на русском Южном Порубежье, скажем, было  немало.

[Yaroslav]

На форуме давно уже мелькает программа по Уровню сходства с различными популяциями. Что-то вроде оракула к Eurogenes K36.

Я смотрю, всё-таки по-моему южных русских размазывает по карте от Польши до Дона (в этот раз не до Волги).

[Yaroslav]

У северных русских вроде как поплотнее. Хотя, вместе с Сибирью тоже территория немалая.