Dodecad Ancestry Project

[Centurion]

galychanyn

где вы загружаете данные для калькуляции?

Все здесь

http://ww2.gedmatch.com:8006/autosomal/ap_mix1_gen.php

да не могу я им пользоваться - закрыт доступ для загрузки данных

[Centurion]

где вы загружаете данные для калькуляции?

На сайте dodecad есть offline калькулятор.
http://dodecad.blogspot.com/2011/09/do-it-yourself-dodecad-v-21.html
Читаете readme и делаете тесты (в папке уже будут старые версии dodecad и mdlp). А потом в папку извлекаете файлы из каждого отдельного калькулятора (K12a, K12b, World9, Euro7) и снова делаете тесты.
К12b
https://docs.google.com/file/d/0B7AJcY18g2GaZWFhZTYxOTUtNDI2Yi00M2VlLWEzZGYtODIyNzUxNWJlZTdl/edit
Euro 7
https://docs.google.com/viewer?a=v&pid=explorer&chrome=true&srcid=0B7AJcY18g2GaM2ZlOGQ0NjMtYzRlMS00YjA5LWIzZmUtM2RkMDIyNDEzZWZm&hl=en_US

вчера загрузил но с ходу не смог получить результат - плюнул 

[Аббат Бузони]

да не могу я им пользоваться - закрыт доступ для загрузки данных

потерпи

[Centurion]

Dodecad K12b Oracle

#   Population   Percent
1   North_European   60.29
2   Atlantic_Med   22.95
3   Caucasus   8.22
4   Gedrosia   4.41
5   Siberian   3.36
6   East_African   0.4
7   East_Asian   0.37

Single Population Sharing:

#   Population (source)   Distance
1   Polish (Dodecad)   7.32
2   Mixed_Slav (Dodecad)   9.41
3   Russian (Dodecad)   10.87
4   Ukranians (Yunusbayev)   11.15
5   Belorussian (Behar)   11.84
6   Russian (HGDP)   12.37
7   Swedish (Dodecad)   12.4
8   Mordovians (Yunusbayev)   12.63
9   Russian_B (Behar)   12.8
10   Hungarians (Behar)   14.13
11   German (Dodecad)   15.35
12   Norwegian (Dodecad)   15.65
13   Lithuanian (Dodecad)   16.05
14   FIN30 (1000Genomes)   16.88
15   Lithuanians (Behar)   18.56
16   Finnish (Dodecad)   18.57
17   Dutch (Dodecad)   21.36
18   Mixed_Germanic (Dodecad)   21.85
19   CEU30 (1000Genomes)   23.77
20   British_Isles (Dodecad)   23.98

[VictorV.]

Для сравнения провожу свой D K12b:
Admix Results (sorted):

#   Population   Percent
1    North_European    62.53
2    Atlantic_Med    17.87
3    Caucasus    10.14
4    Southwest_Asian    4.47
5    Siberian    2.28
6    Gedrosia    1.07
7    South_Asian    0.89
8    Southeast_Asian    0.75

Single Population Sharing:

#   Population (source)   Distance
1    Mixed_Slav (Dodecad)    4.24
2    Polish (Dodecad)    4.67
3    Ukranians (Yunusbayev)    6.22
4    Russian (Dodecad)    6.24
5    Belorussian (Behar)    6.83
6    Russian_B (Behar)    7.94
7    Russian (HGDP)    8.54
8    Mordovians (Yunusbayev)    9.15
9    Lithuanian (Dodecad)    11.56
10    FIN30 (1000Genomes)    14.42
11    Lithuanians (Behar)    14.77
12    Finnish (Dodecad)    15.73
13    Hungarians (Behar)    16.81
14    Swedish (Dodecad)    18.45
15    German (Dodecad)    20.46
16    Norwegian (Dodecad)    21.92
17    Chuvashs (Behar)    24.32
18    Dutch (Dodecad)    27.23
19    Mixed_Germanic (Dodecad)    27.62
20    CEU30 (1000Genomes)    29.7

[grimsvotn]

World 9: 
Amerindian   0.62%
East_Asian   -     
African   -     
Atlantic_Baltic   73.49%
Australasian   1.22%
Siberian   2.60%
Caucasus_Gedrosia   16.02%
Southern   5.60%
South_Asian   0.45%

K12b
Gedrosia   4.45%
Siberian   2.13%
Northwest_African   0.11%
Southeast_Asian   -     
Atlantic_Med   18.82%
North_European   59.73%
South_Asian   0.88%
East_African   -     
Southwest_Asian   0.74%
East_Asian   -     
Caucasus   13.14%
Sub_Saharan   - 

[grimsvotn]

Dodecade V3:

Single Population Sharing:
#   Population (source)   Distance
1   Mixed_Slav (Dodecad)   8.15
2   Polish (Dodecad)   8.36
3   Hungarians (Behar)   12.88
4   Russian (Dodecad)   13.03
5   Slovenian (Xing)   15.31
6   Russian (HGDP)   16.69
7   Finnish (Dodecad)   17.99
8   Belorussian (Behar)   19.55
9   FIN (1000Genomes)   19.99
10   Balkans (Dodecad)   20.52
11   Lithuanians (Behar)   23.14
12   German (Dodecad)   23.28
13   Lithuanian (Dodecad)   25.66
14   Romanians_14 (Behar)   25.7
15   Chuvashs_16 (Behar)   27.28
16   N._European (Xing)   28.65
17   Argyll (1000 Genomes)   28.79
18   CEU (HapMap)   28.84
19   Orcadian (HGDP)   29.74
20   Orkney (1000 Genomes)   29.86


Mixed Mode Population Sharing:
#       Primary Population (source)   Secondary Population (source)   Distance
1       81.5%    Mixed_Slav (Dodecad)    +    18.5%    Mixed_Germanic (Dodecad)    @    1.61
2       78.3%    Mixed_Slav (Dodecad)    +    21.7%    Argyll (1000 Genomes)    @    1.73
3       82.2%    Mixed_Slav (Dodecad)    +    17.8%    Dutch (Dodecad)    @    1.75
4       83.8%    Mixed_Slav (Dodecad)    +    16.2%    Cornwall (1000 Genomes)    @    1.78
5       83%    Mixed_Slav (Dodecad)    +    17%    Kent (1000 Genomes)    @    1.78
6       78.3%    Mixed_Slav (Dodecad)    +    21.7%    N._European (Xing)    @    1.81
7       83.5%    Mixed_Slav (Dodecad)    +    16.5%    British (Dodecad)    @    1.84
8       83.4%    Mixed_Slav (Dodecad)    +    16.6%    British_Isles (Dodecad)    @    1.86
9       84.1%    Mixed_Slav (Dodecad)    +    15.9%    Irish (Dodecad)    @    1.89
10       79%    Mixed_Slav (Dodecad)    +    21%    Orkney (1000 Genomes)    @    1.95
11       79%    Mixed_Slav (Dodecad)    +    21%    Orcadian (HGDP)    @    1.98
12       74.6%    Mixed_Slav (Dodecad)    +    25.4%    German (Dodecad)    @    1.99
13       73.9%    Russian (Dodecad)    +    26.1%    French (HGDP)    @    2.05
14       69.1%    Russian (Dodecad)    +    30.9%    CEU (HapMap)    @    2.1
15       78.5%    Mixed_Slav (Dodecad)    +    21.5%    CEU (HapMap)    @    2.12
16       62.8%    Slovenian (Xing)    +    37.2%    Lithuanian (Dodecad)    @    2.45
17       54.2%    Russian (Dodecad)    +    45.8%    Slovenian (Xing)    @    2.49
18       60.4%    Slovenian (Xing)    +    39.6%    Lithuanians (Behar)    @    2.49
19       69.9%    Russian (Dodecad)    +    30.1%    Orcadian (HGDP)    @    2.49
20       69.2%    Russian (Dodecad)    +    30.8%    Argyll (1000 Genomes)    @    2.53

[Centurion]

у меня самые первые в списке FIN но дистанция 13.23

[kaa76]

Dodecade V3

Код: [Выделить]

Admix Results (sorted):

# Population Percent
1 West_European 37.53
2 East_European 34.67
3 Mediterranean 15.41
4 West_Asian 7.26
5 Northeast_Asian 2.38
6 South_Asian 1.68
7 Southeast_Asian 1.08


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

Least-squares method.

Using 1 population approximation:
1 Mixed_Slav @ 10.878
2 Polish @ 11.410
3 Hungarians @ 13.266
4 Slovenian @ 15.476
5 Russian @ 15.817
6 Russian @ 19.290
7 Finnish @ 19.840
8 FIN @ 21.621
9 Balkans @ 22.318
10 Belorussian @ 23.511
227 iterations.



Using 2 populations approximation:
1 50% Russian +50% Slovenian @ 3.078
2 50% Balkans +50% Finnish @ 3.112
3 50% Russian +50% Slovenian @ 3.203
4 50% Hungarians +50% Russian @ 5.035
5 50% Hungarians +50% Russian @ 5.070
6 50% Mixed_Slav +50% Slovenian @ 5.140
7 50% Finnish +50% Romanians_14 @ 5.468
8 50% German +50% Russian @ 5.831
9 50% Polish +50% Slovenian @ 5.902
10 50% German +50% Russian @ 5.920
25878 iterations.



Using 3 populations approximation:
1 50% Russian +25% Balkans +25% Swedish @ 2.601
2 50% Russian +25% CEU +25% Hungarians @ 2.662
3 50% Russian +25% Hungarians +25% Argyll @ 2.707
4 50% Russian +25% Romanians_14 +25% Swedish @ 2.715
5 50% Russian +25% Balkans +25% Argyll @ 2.724
6 50% Russian +25% Balkans +25% Orkney @ 2.743
7 50% Russian +25% German +25% Hungarians @ 2.816
8 50% Slovenian +25% Russian +25% Russian @ 2.822
9 50% Russian +25% Balkans +25% Orcadian @ 2.829
10 50% Russian +25% Hungarians +25% N._European @ 2.851
480319 iterations.



Using 4 populations approximation:
1 British_Isles + Lithuanian + Romanians_14 + Russian @ 2.461
2 Balkans + Russian + Russian + Swedish @ 2.466
3 German + Hungarians + Russian + Russian @ 2.490
4 Romanians_14 + Russian + Russian + Swedish @ 2.522
5 Kent + Lithuanian + Romanians_14 + Russian @ 2.535
6 Balkans + Finnish + Russian + Slovenian @ 2.537
7 British + Lithuanian + Romanians_14 + Russian @ 2.554
8 Irish + Lithuanian + Romanians_14 + Russian @ 2.559
9 Balkans + Lithuanians + Mixed_Germanic + Russian @ 2.590
10 FIN + Finnish + Greek + Lithuanians @ 2.595
11 Balkans + Russian + Russian + Swedish @ 2.601
12 Cornwall + Lithuanian + Romanians_14 + Russian @ 2.612
13 Dutch + Lithuanian + Romanians_14 + Russian @ 2.617
14 Lithuanian + Mixed_Germanic + Romanians_14 + Russian @ 2.634
15 Hungarians + Russian + Russian + Argyll @ 2.635
16 CEU + Hungarians + Russian + Russian @ 2.662
17 Balkans + Kent + Lithuanian + Russian @ 2.697
18 Hungarians + Russian + Russian + Argyll @ 2.707
19 FIN + Finnish + Greek + Lithuanian @ 2.709
20 German + Russian + Russian + Slovenian @ 2.712

1464992 iterations.


[galychanyn]

Admix Results (sorted):

#   Population   Percent
1   West_European   35.21
2   East_European   25.83
3   Mediterranean   25.51
4   West_Asian   11.39
5   Southwest_Asian   2.06


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

Least-squares method.

Using 1 population approximation:
1 Hungarians @ 3.775
2 Slovenian @ 6.392
3 Balkans @ 12.114
4 Romanians_14 @ 16.045
5 German @ 20.506
6 Mixed_Slav @ 21.938
7 Polish @ 22.017
8 CEU @ 24.130
9 N._European @ 24.676
10 Argyll @ 25.242
227 iterations.



Using 2 populations approximation:
1 50% Balkans +50% Slovenian @ 3.535
2 50% Hungarians +50% Hungarians @ 3.775
3 50% Polish +50% TSI @ 3.974
4 50% Polish +50% Tuscan @ 4.229
5 50% Polish +50% Tuscan @ 4.379
6 50% Hungarians +50% Slovenian @ 4.461
7 50% Mixed_Slav +50% TSI @ 4.570
8 50% N_Italian +50% Russian @ 4.788
9 50% Mixed_Slav +50% Tuscan @ 4.820
10 50% Mixed_Slav +50% Tuscan @ 4.922
25878 iterations.



Using 3 populations approximation:
1 50% Romanians_14 +25% Belorussian +25% Irish @ 1.453
2 50% Polish +25% Greek +25% Mixed_Germanic @ 1.488
3 50% Mixed_Slav +25% Dutch +25% Greek @ 1.494
4 50% Romanians_14 +25% Belorussian +25% Cornwall @ 1.504
5 50% Mixed_Slav +25% Greek +25% Kent @ 1.516
6 50% Romanians_14 +25% Belorussian +25% British_Isles @ 1.674
7 50% Romanians_14 +25% Belorussian +25% British @ 1.679
8 50% Balkans +25% Mixed_Germanic +25% Mixed_Slav @ 1.691
9 50% Mixed_Slav +25% Greek +25% Mixed_Germanic @ 1.773
10 50% Slovenian +25% Balkans +25% Hungarians @ 1.827
467246 iterations.



Using 4 populations approximation:
1 Balkans + Greek + Irish + Lithuanians @ 0.791
2 Balkans + Greek + Irish + Lithuanian @ 0.839
3 CEU + Greek + Lithuanians + Slovenian @ 1.068
4 Balkans + Mixed_Germanic + Mixed_Slav + Romanians_14 @ 1.119
5 Balkans + British_Isles + Greek + Lithuanians @ 1.240
6 Lithuanian + Romanians_14 + TSI + Argyll @ 1.260
7 Greek + Lithuanians + Orcadian + Slovenian @ 1.266
8 Balkans + Mixed_Germanic + Polish + Romanians_14 @ 1.280
9 Greek + Hungarians + Lithuanians + Mixed_Germanic @ 1.290
10 Lithuanian + Orcadian + Romanians_14 + TSI @ 1.299
11 Balkans + Cornwall + Greek + Lithuanian @ 1.343
12 CEU + Lithuanian + Romanians_14 + TSI @ 1.346
13 German + Lithuanians + Romanians_14 + TSI @ 1.349
14 Balkans + British + Greek + Lithuanians @ 1.384
15 Greek + Lithuanians + Orkney + Slovenian @ 1.385
16 Greek + Mixed_Germanic + Mixed_Slav + Polish @ 1.394
17 Balkans + British_Isles + Greek + Lithuanian @ 1.395
18 Lithuanian + Orkney + Romanians_14 + TSI @ 1.398
19 Balkans + Cornwall + Greek + Lithuanians @ 1.404
20 Lithuanian + Orcadian + Romanians_14 + Tuscan @ 1.406

[FenriR]

Код: [Выделить]

Dodecad V3
1 West_European 41.78
2 East_European 33.28
3 Mediterranean 15.44
4 West_Asian 6.10
5 Northeast_Asian 2.27
6 Southeast_Asian 1.14

Single Population Sharing:
1 Hungarians (Behar) 11.88
2 Polish (Dodecad) 12.73
3 Mixed_Slav (Dodecad) 12.79
4 Slovenian (Xing) 12.82
5 FIN (1000Genomes) 16.11
6 Finnish (Dodecad) 16.22
7 Russian (Dodecad) 16.96
8 German (Dodecad) 19.01
9 Russian (HGDP) 19.9
10 Balkans (Dodecad) 22.01

Mixed Mode Population Sharing:
1 58.9% Russian (Dodecad) + 41.1% N._European (Xing) @ 0.82 (Какие популяции входят в эти N._European?)
2 59.2% Russian (Dodecad) + 40.8% Argyll (1000 Genomes) @ 0.97
3 65.7% Russian (Dodecad) + 34.3% Dutch (Dodecad) @ 1.21
4 64.6% Russian (Dodecad) + 35.4% Mixed_Germanic (Dodecad) @ 1.21
5 60.2% Russian (Dodecad) + 39.8% Orkney (1000 Genomes) @ 1.27
6 60.1% Russian (Dodecad) + 39.9% Orcadian (HGDP) @ 1.32
7 52.9% Russian (Dodecad) + 47.1% German (Dodecad) @ 1.39
8 67% Russian (Dodecad) + 33% Kent (1000 Genomes) @ 1.58
9 68.4% Russian (Dodecad) + 31.6% Cornwall (1000 Genomes) @ 1.85
10 55.5% Russian (HGDP) + 44.5% CEU (HapMap) @ 1.87


Using 1 population approximation:
1 Hungarians @ 13.406
2 Polish @ 13.859
3 Mixed_Slav @ 14.135
4 Slovenian @ 14.509
5 FIN @ 17.437
6 Finnish @ 17.477
7 Russian @ 18.746
8 German @ 20.966
9 Russian @ 21.839
10 Balkans @ 24.866

Using 2 populations approximation:
1 50% German +50% Russian @ 2.047
2 50% German +50% Russian @ 2.653
3 50% Finnish +50% Hungarians @ 3.293
4 50% CEU +50% Russian @ 3.659
5 50% Russian +50% Argyll @ 3.867
6 50% Orcadian +50% Russian @ 4.102
7 50% Lithuanians +50% N._European @ 4.199
8 50% Orkney +50% Russian @ 4.275
9 50% CEU +50% Lithuanians @ 4.299
10 50% Russian +50% N._European @ 4.312

Using 3 populations approximation:
1 50% Russian +25% Hungarians +25% Norwegian @ 1.776
2 50% Russian +25% Hungarians +25% Swedish @ 1.818
3 50% Slovenian +25% FIN +25% Lithuanians @ 1.897
4 50% German +25% Russian +25% Russian @ 1.926
5 50% Slovenian +25% FIN +25% Lithuanian @ 2.030
6 50% German +25% Russian +25% Russian @ 2.047
7 50% Russian +25% German +25% German @ 2.047
8 50% Mixed_Slav +25% Irish +25% Russian @ 2.052
9 50% FIN +25% Balkans +25% Mixed_Slav @ 2.077
10 50% Russian +25% Swedish +25% Slovenian @ 2.109

Using 4 populations approximation:
1 Balkans + Finnish + Lithuanian + Mixed_Germanic @ 1.637
2 Hungarians + Mixed_Slav + Russian + Swedish @ 1.649
3 Balkans + Finnish + Lithuanians + Mixed_Germanic @ 1.677
4 Hungarians + Norwegian + Russian + Russian @ 1.776
5 Balkans + Dutch + Finnish + Lithuanian @ 1.790
6 Kent + Lithuanians + Russian + Slovenian @ 1.806
7 Hungarians + Russian + Russian + Swedish @ 1.818
8 Hungarians + Mixed_Slav + Russian + Swedish @ 1.873
9 FIN + Lithuanians + Slovenian + Slovenian @ 1.897
10 Dutch + Lithuanians + Russian + Slovenian @ 1.919
11 German + German + Russian + Russian @ 1.926
12 Balkans + Finnish + Kent + Lithuanian @ 1.929
13 Cornwall + Hungarians + Lithuanians + Russian @ 1.993
14 Hungarians + Polish + Russian + Swedish @ 2.005
15 Hungarians + Mixed_Slav + Norwegian + Russian @ 2.024
16 Balkans + Dutch + Finnish + Lithuanians @ 2.030
17 FIN + Lithuanian + Slovenian + Slovenian @ 2.030
18 Kent + Lithuanians + Russian + Slovenian @ 2.039
19 Kent + Lithuanian + Russian + Slovenian @ 2.040
20 Cornwall + Lithuanians + Russian + Slovenian @ 2.042

[Шад]

http://www.y-str.org/tools/diy-dodecad-wrapper/

Оболочка для калькулятора Диенека.

[VictorV.]

Admix Results (sorted):

#   Population   Percent
1   West_European   35.21
2   East_European   25.83
3   Mediterranean   25.51
4   West_Asian   11.39
5   Southwest_Asian   2.06

По какой причине у бойко компонента западной Азии может быть во много раз  больше чем у русских и восточных украинцев?

Для сравнения привожу свои результаты V3:

Код: [Выделить]

Admix Results (sorted):

#   Population   Percent
1    East_European    46.58
2    West_European    33.29
3    Mediterranean    13.37
4    West_Asian    2.62
5    Southwest_Asian    2.62
6    Northeast_Asian    1.52


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

Least-squares method.

Using 1 population approximation:
1 Mixed_Slav @ 4.758
2 Russian @ 5.048
3 Polish @ 5.174
4 Russian @ 9.817
5 Belorussian @ 10.511
6 Lithuanians @ 14.615
7 Lithuanian @ 17.325
8 Finnish @ 21.995
9 Hungarians @ 24.549
10 Chuvashs_16 @ 24.587
227 iterations.

Using 2 populations approximation:
1 50% Polish +50% Russian @ 2.394
2 50% Polish +50% Russian @ 3.352
3 50% Mixed_Slav +50% Russian @ 3.410
4 50% Mixed_Slav +50% Russian @ 4.657
5 50% Mixed_Slav +50% Polish @ 4.665
6 50% Hungarians +50% Lithuanian @ 4.694
7 50% Mixed_Slav +50% Mixed_Slav @ 4.758
8 50% Russian +50% Russian @ 5.048
9 50% Belorussian +50% Polish @ 5.080
10 50% Belorussian +50% Mixed_Slav @ 5.094
25878 iterations.



Using 3 populations approximation:
1 50% Polish +25% Russian +25% Russian @ 2.394
2 50% Russian +25% Polish +25% Polish @ 2.394
3 50% Polish +25% Polish +25% Russian @ 2.534
4 50% Polish +25% Russian +25% Russian @ 2.565
5 50% Polish +25% Mixed_Slav +25% Russian @ 2.654
6 50% Russian +25% Mixed_Slav +25% Polish @ 2.818
7 50% Russian +25% Hungarians +25% Lithuanian @ 2.842
8 50% Polish +25% Belorussian +25% Russian @ 2.862
9 50% Lithuanians +25% Hungarians +25% Mixed_Slav @ 2.869
10 50% Mixed_Slav +25% Lithuanians +25% Polish @ 2.918
473559 iterations.

Using 4 populations approximation:
1 Belorussian + Lithuanians + Russian + Slovenian @ 2.330
2 Balkans + Belorussian + Finnish + Lithuanian @ 2.377
3 Polish + Polish + Russian + Russian @ 2.394
4 Belorussian + Lithuanian + Russian + Slovenian @ 2.423
5 Belorussian + Lithuanians + Russian + Slovenian @ 2.454
6 Polish + Polish + Polish + Russian @ 2.534
7 Belorussian + Hungarians + Lithuanians + Russian @ 2.554
8 Belorussian + Lithuanian + Russian + Slovenian @ 2.562
9 Polish + Polish + Russian + Russian @ 2.565
10 Mixed_Slav + Polish + Polish + Russian @ 2.654
11 Balkans + Belorussian + Finnish + Lithuanians @ 2.698
12 Belorussian + Hungarians + Lithuanians + Russian @ 2.721
13 Hungarians + Lithuanian + Polish + Russian @ 2.744
14 Mixed_Slav + Polish + Russian + Russian @ 2.818
15 Hungarians + Lithuanian + Russian + Russian @ 2.842
16 Belorussian + Polish + Polish + Russian @ 2.862
17 Hungarians + Lithuanians + Lithuanians + Mixed_Slav @ 2.869
18 Belorussian + Hungarians + Lithuanian + Russian @ 2.895
19 Lithuanians + Mixed_Slav + Mixed_Slav + Polish @ 2.918
20 Belorussian + Hungarians + Lithuanian + Russian @ 2.964


[grimsvotn]

Хм... у меня West Asian 6.56

[eugene-march]

Dodecad V3 4-Ancestors Oracle

Мои данные:

   Population   Percent
1    West_European    40.26
2    East_European    34.36
3    Mediterranean    16.37
4    West_Asian    6.76
5    Northeast_Asian    2.25


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

Least-squares method.

Using 1 population approximation:
1 Polish @ 12.269
2 Mixed_Slav @ 12.451
3 Hungarians @ 12.751
4 Slovenian @ 14.570
5 Russian @ 17.513
6 Finnish @ 18.838
7 FIN @ 19.474
8 Russian @ 20.952
9 German @ 22.323
10 Balkans @ 23.340
227 iterations.



Using 2 populations approximation:
1 50% German +50% Russian @ 3.352
2 50% Balkans +50% Finnish @ 3.690
3 50% Belorussian +50% Argyll @ 4.166
4 50% German +50% Russian @ 4.176
5 50% Belorussian +50% N._European @ 4.200
6 50% Belorussian +50% German @ 4.321
7 50% Russian +50% Slovenian @ 4.915
8 50% CEU +50% Lithuanians @ 4.951
9 50% Belorussian +50% CEU @ 4.974
10 50% Belorussian +50% Orcadian @ 4.984

Жены:

   Population   Percent
1    West_European    34.02
2    East_European    29.92
3    Mediterranean    20.93
4    West_Asian    10.64
5    Northeast_Asian    2.26
6    Southwest_Asian    2.23


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

Least-squares method.

Using 1 population approximation:
1 Hungarians @ 7.125
2 Slovenian @ 10.136
3 Balkans @ 14.225
4 Mixed_Slav @ 16.258
5 Polish @ 16.928
6 Romanians_14 @ 19.207
7 Russian @ 22.139
8 German @ 23.255
9 Russian @ 26.048
10 FIN @ 27.473
227 iterations.



Using 2 populations approximation:
1 50% Lithuanians +50% TSI @ 4.031
2 50% Lithuanians +50% Tuscan @ 4.464
3 50% Finnish +50% Romanians_14 @ 4.573
4 50% Lithuanians +50% Tuscan @ 4.632
5 50% Lithuanian +50% TSI @ 4.714
6 50% Russian +50% TSI @ 5.023
7 50% Russian +50% Tuscan @ 5.181
8 50% Russian +50% Tuscan @ 5.212
9 50% Lithuanian +50% Tuscan @ 5.287
10 50% Lithuanian +50% Tuscan @ 5.318