Eurogenes K36 Oracle: my results

[Peterski]

Here is K36 Oracle for PL_N17 (Early Bronze Age Poland):

http://www.theapricity.com/forum/sho...=1#post4221379

36 components mode.
Population data has been read. 158 populations found.
Personal data has been read. 20 approximations mode.
Person: PolandEBA
Threshold of components set to 0,25%

Least-squares method:

Using 1 population approximation:
1 Pl_Kashubians @ 15,470824
2 Czechs_Moravians @ 16,976305
3 Ukrainian_West @ 17,023284
4 PL_mean_90_sample @ 17,570024
5 Slovak @ 17,867037
6 PL_Malopolska @ 18,59124
7 PL_Mazovia_Podlasie @ 18,612261
8 PL_Gorny_Slask @ 18,624428
9 Sweden-1 @ 18,7047
10 PL_mean_Verenich_smaple @ 18,889312
11 PL_Podkarpacie @ 19,559071
12 Orcadian @ 19,689059
13 Russian_Don_Cossack @ 19,839326
14 Sweden-2 @ 19,864385
15 Belarusian_Polesye @ 20,467653
16 Russian_Voronezh @ 20,68967
17 Russian_Oryol @ 20,750584
18 Russian_Kursk @ 20,964284
19 Belarusian_East @ 21,04517
20 German_Austria @ 21,167078
158 iterations.

Using 2 populations approximation:
1 Lithuanian+Orcadian @ 10,642959
2 Lithuanian+Scotland @ 10,959644
3 Lithuanian+Ireland @ 11,343268
4 Latvian+Orcadian @ 11,481999
5 Lithuanian+British_mixed @ 11,753396
6 PL_Mazovia_Podlasie+Orcadian @ 11,901195
7 Lithuanian+Wales @ 11,972936
8 Russian_Novgorod_Pskov+Orcadian @ 12,018312
9 Pl_Kashubians+Orcadian @ 12,109907
10 Latvian+Scotland @ 12,165113
11 Lithuanian+England @ 12,28637
12 Belarusian_East+Orcadian @ 12,337981
13 Russian_Bryansk+Orcadian @ 12,371598
14 PL_Mazovia_Podlasie+Scotland @ 12,421756
15 Russian_Novgorod_Pskov+Scotland @ 12,448751
16 Latvian+Ireland @ 12,496687
17 Lithuanian+Holland @ 12,503031
18 Russian_Kursk+Orcadian @ 12,521835
19 PL_mean_Verenich_smaple+Orcadian @ 12,609619
20 PL_Mazovia_Podlasie+Ireland @ 12,620417
12561 iterations.

Using 3 populations approximation:
1 50% Lithuanian +25% Orcadian +25% Orcadian @ 10,642959
2 50% Lithuanian +25% Orcadian +25% Scotland @ 10,674047
3 50% Orcadian +25% Lithuanian +25% Pl_Kashubians @ 10,770385
4 50% Lithuanian +25% Ireland +25% Orcadian @ 10,88557
5 50% Orcadian +25% Lithuanian +25% PL_Mazovia_Podlasie @ 10,886117
6 50% Lithuanian +25% Ireland +25% Scotland @ 10,91569
7 50% Lithuanian +25% Scotland +25% Scotland @ 10,959644
8 50% Orcadian +25% Latvian +25% Lithuanian @ 10,963177
9 50% Lithuanian +25% Orcadian +25% British_mixed @ 11,12819
10 50% Orcadian +25% Lithuanian +25% PL_mean_Verenich_smaple @ 11,137455
11 50% Orcadian +25% Lithuanian +25% PL_mean_90_sample @ 11,145014
12 50% Orcadian +25% Lithuanian +25% Russian_Kursk @ 11,145943
13 50% Orcadian +25% Lithuanian +25% Russian_Novgorod_Pskov @ 11,187608
14 50% Orcadian +25% Latvian +25% Pl_Kashubians @ 11,196163
15 50% Orcadian +25% Belarusian_East +25% Lithuanian @ 11,223025
16 50% Orcadian +25% Lithuanian +25% Russian_Bryansk @ 11,232435
17 50% Lithuanian +25% Orcadian +25% Wales @ 11,245296
18 50% Orcadian +25% Latvian +25% PL_Mazovia_Podlasie @ 11,296531
19 50% Orcadian +25% Belarusian_Polesye +25% Lithuanian @ 11,30809
20 50% Lithuanian +25% Scotland +25% British_mixed @ 11,318293
1791762 iterations.

Using 4 populations approximation:
1 Lithuanian+Lithuanian+Orcadian+Orcadian @ 10,642959
2 Lithuanian+Lithuanian+Orcadian+Scotland @ 10,674047
3 Lithuanian+Pl_Kashubians+Orcadian+Orcadian @ 10,770385
4 Lithuanian+Lithuanian+Ireland+Orcadian @ 10,88557
5 Lithuanian+PL_Mazovia_Podlasie+Orcadian+Orcadian @ 10,886117
6 Lithuanian+Lithuanian+Ireland+Scotland @ 10,91569
7 Lithuanian+Lithuanian+Scotland+Scotland @ 10,959644
8 Latvian+Lithuanian+Orcadian+Orcadian @ 10,963177
9 Lithuanian+Pl_Kashubians+Orcadian+Scotland @ 10,964653
10 Lithuanian+PL_Mazovia_Podlasie+Orcadian+Scotland @ 10,982957
11 Lithuanian+Pl_Kashubians+Ireland+Orcadian @ 11,067972
12 Latvian+Lithuanian+Orcadian+Scotland @ 11,098743
13 Lithuanian+Lithuanian+Orcadian+British_mixed @ 11,12819
14 Lithuanian+PL_mean_Verenich_smaple+Orcadian+Orcadi an @ 11,137455
15 Lithuanian+Orcadian+Orcadian+PL_mean_90_sample @ 11,145014
16 Lithuanian+Russian_Kursk+Orcadian+Orcadian @ 11,145943
17 Lithuanian+PL_Mazovia_Podlasie+Ireland+Orcadian @ 11,148562
18 Lithuanian+Russian_Novgorod_Pskov+Orcadian+Orcadia n @ 11,187608
19 Latvian+Pl_Kashubians+Orcadian+Orcadian @ 11,196163
20 Belarusian_East+Lithuanian+Orcadian+Orcadian @ 11,223025
21 Lithuanian+Russian_Bryansk+Orcadian+Orcadian @ 11,232435
22 Lithuanian+PL_Mazovia_Podlasie+Ireland+Scotland @ 11,242873
23 Lithuanian+Lithuanian+Orcadian+Wales @ 11,245296
24 Belarusian_East+Lithuanian+Orcadian+Scotland @ 11,25678
25 Lithuanian+Pl_Kashubians+Ireland+Scotland @ 11,256837
26 Lithuanian+Russian_Novgorod_Pskov+Orcadian+Scotlan d @ 11,258236
27 Lithuanian+PL_mean_Verenich_smaple+Orcadian+Scotla nd @ 11,271663
28 Lithuanian+Russian_Kursk+Orcadian+Scotland @ 11,275733
29 Lithuanian+Russian_Bryansk+Orcadian+Scotland @ 11,279597
30 Lithuanian+Orcadian+Scotland+PL_mean_90_sample @ 11,294529
31 Latvian+PL_Mazovia_Podlasie+Orcadian+Orcadian @ 11,296531
32 Latvian+Lithuanian+Ireland+Orcadian @ 11,29813
33 Belarusian_Polesye+Lithuanian+Orcadian+Orcadian @ 11,30809
34 Lithuanian+Lithuanian+Scotland+British_mixed @ 11,318293
35 Lithuanian+PL_Mazovia_Podlasie+Scotland+Scotland @ 11,325147
36 Lithuanian+Lithuanian+Ireland+Ireland @ 11,343268
37 Lithuanian+Lithuanian+Ireland+British_mixed @ 11,374379
38 Lithuanian+Lithuanian+Orcadian+England @ 11,38121
39 Lithuanian+Pl_Kashubians+Scotland+Scotland @ 11,40008
40 Lithuanian+Ukrainian_West+Orcadian+Orcadian @ 11,40096
21738437 iterations.

Gaussian method:
Noise dispersion set to 0,130062

Using 1 population approximation:
1 Czechs_Moravians @ 4,979503
2 PL_Malopolska @ 5,011805
3 PL_Gorny_Slask @ 5,196334
4 German_Austria @ 5,203417
5 Sweden-2 @ 5,20483
6 Russian_Kursk @ 5,283653
7 Orcadian @ 5,285578
8 PL_mean_Verenich_smaple @ 5,291113
9 Russian_Oryol @ 5,409341
10 PL_mean_90_sample @ 5,418695
11 Ireland @ 5,432586
12 Slovak @ 5,483264
13 Belarusian_East @ 5,500018
14 Russian_Tver @ 5,634301
15 Russian_Novgorod_Yaroslavl @ 5,674661
16 Russian_Bryansk @ 5,68169
17 Russian_Meshtchyora @ 5,758216
18 Pl_Kashubians @ 5,763634
19 PL_Mazovia_Podlasie @ 5,771659
20 Russian_Smolensk @ 5,797376
158 iterations.

Using 2 populations approximation:
1 Lithuanian+Ireland @ 3,836303
2 Lithuanian+Orcadian @ 4,017062
3 Latvian+Ireland @ 4,024805
4 Latvian+Orcadian @ 4,132125
5 Russian_Kursk+Ireland @ 4,133637
6 Pl_Kashubians+Ireland @ 4,148222
7 Belarusian_East+Ireland @ 4,158172
8 Russian_Bryansk+Ireland @ 4,186261
9 Russian_Kursk+Orcadian @ 4,189101
10 PL_Mazovia_Podlasie+Ireland @ 4,197521
11 PL_mean_Verenich_smaple+Ireland @ 4,226633
12 Russian_Oryol+Ireland @ 4,244061
13 Russian_Kursk+Sweden-2 @ 4,250368
14 Russian_Kursk+Frisian_DK @ 4,25329
15 Belarusian_East+Orcadian @ 4,253867
16 PL_Mazovia_Podlasie+Orcadian @ 4,261616
17 Pl_Kashubians+Orcadian @ 4,274298
18 Russian_Smolensk+Ireland @ 4,285874
19 PL_mean_Verenich_smaple+Orcadian @ 4,291118
20 Russian_Kursk+British_mixed @ 4,302294
12561 iterations.

Using 3 populations approximation:
1 50% Lithuanian +25% Ireland +25% Ireland @ 3,836303
2 50% Ireland +25% Lithuanian +25% Russian_Kursk @ 3,916527
3 50% Ireland +25% Latvian +25% Lithuanian @ 3,933361
4 50% Ireland +25% Lithuanian +25% Ireland @ 3,942993
5 50% Ireland +25% Lithuanian +25% Pl_Kashubians @ 3,96942
6 50% Ireland +25% Lithuanian +25% Russian_Oryol @ 3,989691
7 50% Ireland +25% Belarusian_East +25% Lithuanian @ 3,99295
8 50% Ireland +25% Latvian +25% Russian_Kursk @ 3,997958
9 50% Lithuanian +25% Ireland +25% Orcadian @ 4,000701
10 50% Orcadian +25% Lithuanian +25% Russian_Kursk @ 4,013605
11 50% Lithuanian +25% Orcadian +25% Orcadian @ 4,017062
12 50% Ireland +25% Lithuanian +25% PL_Mazovia_Podlasie @ 4,017497
13 50% Ireland +25% Lithuanian +25% PL_mean_Verenich_smaple @ 4,022921
14 50% Ireland +25% Lithuanian +25% Russian_Bryansk @ 4,023317
15 50% Latvian +25% Ireland +25% Ireland @ 4,024805
16 50% Ireland +25% Lithuanian +25% Sweden-2 @ 4,038759
17 50% Ireland +25% Lithuanian +25% Russian_Smolensk @ 4,060292
18 50% Ireland +25% Latvian +25% Russian_Oryol @ 4,062217
19 50% Ireland +25% Belarusian_East +25% Latvian @ 4,062423
20 50% Ireland +25% Latvian +25% Pl_Kashubians @ 4,063847
1442635 iterations.

Using 4 populations approximation:
1 Lithuanian+Lithuanian+Ireland+Ireland @ 3,836303
2 Lithuanian+Russian_Kursk+Ireland+Ireland @ 3,916527
3 Latvian+Lithuanian+Ireland+Ireland @ 3,933361
4 Lithuanian+Ireland+Ireland+Ireland @ 3,942993
5 Lithuanian+Pl_Kashubians+Ireland+Ireland @ 3,96942
6 Lithuanian+Russian_Oryol+Ireland+Ireland @ 3,989691
7 Belarusian_East+Lithuanian+Ireland+Ireland @ 3,99295
8 Latvian+Russian_Kursk+Ireland+Ireland @ 3,997958
9 Lithuanian+Lithuanian+Ireland+Orcadian @ 4,000701
10 Lithuanian+Russian_Kursk+Orcadian+Orcadian @ 4,013605
11 Lithuanian+Russian_Kursk+Ireland+Orcadian @ 4,015573
12 Lithuanian+Lithuanian+Orcadian+Orcadian @ 4,017062
13 Lithuanian+PL_Mazovia_Podlasie+Ireland+Ireland @ 4,017497
14 Lithuanian+PL_mean_Verenich_smaple+Ireland+Ireland @ 4,022921
15 Lithuanian+Russian_Bryansk+Ireland+Ireland @ 4,023317
16 Latvian+Latvian+Ireland+Ireland @ 4,024805
17 Lithuanian+Sweden-2+Ireland+Ireland @ 4,038759
18 Latvian+Lithuanian+Ireland+Orcadian @ 4,057462
19 Lithuanian+Russian_Smolensk+Ireland+Ireland @ 4,060292
20 Latvian+Russian_Oryol+Ireland+Ireland @ 4,062217
21 Belarusian_East+Latvian+Ireland+Ireland @ 4,062423
22 Latvian+Pl_Kashubians+Ireland+Ireland @ 4,063847
23 Latvian+Lithuanian+Orcadian+Orcadian @ 4,066817
24 Lithuanian+PL_Malopolska+Ireland+Ireland @ 4,066829
25 Lithuanian+Russian_Kursk+Sweden-2+Ireland @ 4,066868
26 Latvian+Ireland+Ireland+Ireland @ 4,076434
27 Lithuanian+Ireland+Ireland+Orcadian @ 4,076936
28 Lithuanian+Ireland+Ireland+PL_mean_90_sample @ 4,080307
29 Lithuanian+Russian_Oryol+Ireland+Orcadian @ 4,08298
30 Latvian+Russian_Kursk+Orcadian+Orcadian @ 4,083047
31 Lithuanian+Russian_Kursk+Frisian_DK+Ireland @ 4,083472
32 Latvian+Russian_Kursk+Ireland+Orcadian @ 4,084447
33 Lithuanian+Russian_Kursk+Ireland+British_mixed @ 4,085765
34 Lithuanian+Pl_Kashubians+Ireland+Orcadian @ 4,089733
35 Belarusian_East+Lithuanian+Ireland+Orcadian @ 4,090808
36 Latvian+Russian_Bryansk+Ireland+Ireland @ 4,091307
37 Russian_Kursk+Pl_Kashubians+Ireland+Ireland @ 4,0961
38 Lithuanian+Russian_Kursk+Orcadian+British_mixed @ 4,097425
39 Lithuanian+PL_Gorny_Slask+Ireland+Ireland @ 4,098793
40 Latvian+PL_Mazovia_Podlasie+Ireland+Ireland @ 4,098954
12100685 iterations.

[Lucas]

Looks Balto-Celtic ? Or more properly similar ot population ancestral to both maybe.

[Peterski]

In this new version, with 158 reference populations, I am scoring:

Gaussian method.
Noise dispersion set to 0,130062

Using 1 population approximation:
1 PL_Upper_Silesia @ 3,020955
2 PL_Lesser_Poland @ 3,069551
3 PL_mean_Verenich_sample @ 3,15337
4 PL_Mazovia_Podlachia @ 3,450262
5 PL_mean_90_sample @ 3,470163
6 Czechs_Moravians @ 3,838687
7 PL_Subcarpathia @ 3,853811
8 PL_Kashubians @ 3,859046
9 Belarusian_Polesye @ 3,870832
10 Belarusian_East @ 4,004563
11 Russian_Smolensk @ 4,007749
12 Slovak @ 4,157081
13 Russian_Kursk @ 4,163922
14 Ukrainian_East @ 4,281441
15 Russian_Voronezh @ 4,385035
16 Russian_Oryol @ 4,388567
17 Russian_Bryansk @ 4,477297
18 Slovenian @ 4,633957
19 Ukrainian_West @ 4,690073
20 Russian_Center @ 4,753604
158 iterations.

So it seems that Verenich's Polish sample is quite useful after all.

[Peterski]

Myth's mother (she is German from Hamburg and Saarland):

http://www.theapricity.com/forum/sho...=1#post4337937

[PunhetaDeBacalhau]

Nice work guys Want some help filling more populations? If you need Gedmatch IDs just ask.

It seems very accurate

[Ilma]

Thanks for what you sent to me, these are my oracle results :

36 components mode.
Population data has been read. 158 populations found.
Personal data has been read. 20 approximations mode.
Person: Ilma.txt
Threshold of components set to 0,25%

Least-squares method:

Using 1 population approximation:
1 France @ 8,91571
2 Portugal @ 9,855533
3 Spain @ 10,48765
4 IT_Veneto @ 14,974477
5 German @ 16,331106
6 North_Italy @ 17,47614
7 Austria @ 18,40972
8 Man_Isle @ 18,885629
9 England @ 21,036172
10 German_Austria @ 21,057952
11 Wales @ 21,464267
12 Holland @ 22,218115
13 German_Volga @ 22,551567
14 British_mixed @ 22,859116
15 Scotland @ 23,790435
16 Montenegrian @ 23,826086
17 Macedonian @ 24,52567
18 Hungarian_Slovenian @ 24,903241
19 Slovenian @ 24,995603
20 Serbian @ 25,138732
158 iterations.

Using 2 populations approximation:
1 Spain+France @ 7,684676
2 Portugal+France @ 7,696384
3 France+France @ 8,91571
4 German+Spain @ 9,277263
5 German+Portugal @ 9,81545
6 Portugal+Portugal @ 9,855533
7 Portugal+Spain @ 9,87466
8 Spain+Austria @ 10,187183
9 IT_Veneto+France @ 10,356472
10 Spain+IT_Veneto @ 10,357972
11 Spain+Man_Isle @ 10,425201
12 Spain+Spain @ 10,48765
13 Spain+England @ 10,590766
14 Portugal+IT_Veneto @ 10,628265
15 Portugal+Austria @ 10,660442
16 German_Austria+Spain @ 10,664467
17 Spain+Wales @ 10,803187
18 Spain+North_Italy @ 11,057019
19 Portugal+Man_Isle @ 11,086393
20 Spain+Holland @ 11,194
12561 iterations.

Using 3 populations approximation:
1 50% France +25% Portugal +25% Spain @ 7,591523
2 50% Spain +25% France +25% France @ 7,684676
3 50% Portugal +25% France +25% France @ 7,696384
4 50% France +25% Spain +25% France @ 7,768561
5 50% France +25% Portugal +25% France @ 7,879912
6 50% Spain +25% German +25% France @ 8,103479
7 50% France +25% Spain +25% IT_Veneto @ 8,258272
8 50% Spain +25% Austria +25% France @ 8,276789
9 50% Spain +25% Frisian_DK +25% Spain @ 8,29294
10 50% Spain +25% Portugal +25% England @ 8,294354
11 50% Portugal +25% Spain +25% France @ 8,333672
12 50% Spain +25% German_Austria +25% Portugal @ 8,334657
13 50% Spain +25% Portugal +25% Wales @ 8,356008
14 50% Spain +25% Portugal +25% British_mixed @ 8,369801
15 50% Spain +25% Spain +25% England @ 8,36987
16 50% Spain +25% Spain +25% British_mixed @ 8,373807
17 50% Spain +25% German +25% Portugal @ 8,390141
18 50% Spain +25% Frisian_DK +25% Portugal @ 8,399432
19 50% Portugal +25% Spain +25% England @ 8,40024
20 50% Spain +25% France +25% England @ 8,409245
1640076 iterations.

Using 4 populations approximation:
1 Portugal+Spain+France+France @ 7,591523
2 Spain+Spain+France+France @ 7,684676
3 Portugal+Portugal+France+France @ 7,696384
4 Spain+France+France+France @ 7,768561
5 Portugal+France+France+France @ 7,879912
6 German+Spain+Spain+France @ 8,103479
7 German+Portugal+Spain+France @ 8,171119
8 Spain+IT_Veneto+France+France @ 8,258272
9 Spain+Spain+Austria+France @ 8,276789
10 Frisian_DK+Spain+Spain+Spain @ 8,29294
11 Portugal+Spain+Spain+England @ 8,294354
12 Portugal+Portugal+Spain+France @ 8,333672
13 German_Austria+Portugal+Spain+Spain @ 8,334657
14 Portugal+Spain+Austria+France @ 8,336892
15 Portugal+Spain+Spain+Wales @ 8,356008
16 Portugal+Spain+Spain+British_mixed @ 8,369801
17 Spain+Spain+Spain+England @ 8,36987
18 Spain+Spain+Spain+British_mixed @ 8,373807
19 German+Portugal+Spain+Spain @ 8,390141
20 Frisian_DK+Portugal+Spain+Spain @ 8,399432
21 Portugal+Portugal+Spain+England @ 8,40024
22 Spain+Spain+France+England @ 8,409245
23 German_Austria+Portugal+Portugal+Spain @ 8,416894
24 German+Portugal+Portugal+France @ 8,419865
25 Portugal+Portugal+Portugal+France @ 8,421036
26 Portugal+Spain+Spain+France @ 8,42689
27 German_Austria+Spain+Spain+France @ 8,427166
28 German_Austria+Spain+Spain+Spain @ 8,432973
29 Spain+Spain+Spain+Wales @ 8,437348
30 Portugal+IT_Veneto+France+France @ 8,444798
31 German+Portugal+Portugal+Spain @ 8,447243
32 Portugal+Spain+Spain+Scotland @ 8,452573
33 Portugal+Portugal+Spain+Wales @ 8,454764
34 Spain+Spain+Spain+Scotland @ 8,465849
35 Spain+Spain+France+Wales @ 8,475744
36 Portugal+Spain+IT_Veneto+France @ 8,483484
37 Spain+Spain+IT_Veneto+France @ 8,486427
38 German+Spain+Spain+Spain @ 8,512293
39 German_Austria+Portugal+Spain+France @ 8,516695
40 Portugal+Spain+France+England @ 8,521882
14889897 iterations.

Gaussian method:
Noise dispersion set to 0,130062

Using 1 population approximation:
1 France @ 4,858591
2 Spain @ 5,376112
3 IT_Veneto @ 5,491824
4 Man_Isle @ 5,869142
5 Portugal @ 5,885745
6 North_Italy @ 6,017451
7 Austria @ 6,75905
8 German @ 6,931185
9 Wales @ 7,329148
10 Montenegrian @ 7,7809
11 Serbian @ 7,812972
12 Slovenian @ 7,823892
13 German_Volga @ 7,92432
14 Croatian @ 8,014183
15 Macedonian @ 8,076257
16 Holland @ 8,168775
17 Kosovar @ 8,205616
18 Bosnian @ 8,278669
19 England @ 8,281246
20 British_mixed @ 8,308278
158 iterations.

Using 2 populations approximation:
1 Spain+France @ 4,830352
2 France+France @ 4,858591
3 Portugal+France @ 4,986614
4 Spain+Wales @ 4,996975
5 Spain+England @ 5,006307
6 IT_Veneto+France @ 5,035018
7 Spain+British_mixed @ 5,060351
8 German_Austria+Spain @ 5,072564
9 Frisian_DK+Spain @ 5,107445
10 Spain+Holland @ 5,151042
11 France+Man_Isle @ 5,164765
12 Portugal+England @ 5,175888
13 Portugal+Wales @ 5,191802
14 German+Spain @ 5,199573
15 Frisian_DK+Portugal @ 5,20449
16 Spain+Austria @ 5,224731
17 Spain+Man_Isle @ 5,229925
18 German_Austria+Portugal @ 5,244877
19 Spain+Scotland @ 5,24968
20 Portugal+British_mixed @ 5,251335
12561 iterations.

Using 3 populations approximation:
1 50% France +25% Spain +25% France @ 4,67071
2 50% France +25% Spain +25% Wales @ 4,786666
3 50% France +25% Frisian_DK +25% Spain @ 4,787861
4 50% France +25% Spain +25% England @ 4,796369
5 50% France +25% Portugal +25% France @ 4,800964
6 50% France +25% Spain +25% British_mixed @ 4,819004
7 50% Spain +25% Frisian_DK +25% France @ 4,830061
8 50% Spain +25% France +25% France @ 4,830352
9 50% France +25% German_Austria +25% Spain @ 4,836074
10 50% Spain +25% France +25% Wales @ 4,856862
11 50% France +25% Spain +25% Holland @ 4,860264
12 50% Spain +25% France +25% England @ 4,870077
13 50% Spain +25% France +25% British_mixed @ 4,874989
14 50% Spain +25% German_Austria +25% France @ 4,889168
15 50% France +25% Spain +25% Man_Isle @ 4,889431
16 50% France +25% IT_Veneto +25% France @ 4,916653
17 50% France +25% German +25% Spain @ 4,918678
18 50% France +25% Portugal +25% Spain @ 4,922992
19 50% France +25% Frisian_DK +25% Portugal @ 4,927119
20 50% France +25% Spain +25% IT_Veneto @ 4,927312
1947561 iterations.

Using 4 populations approximation:
1 Spain+France+France+France @ 4,67071
2 Spain+France+France+Wales @ 4,786666
3 Frisian_DK+Spain+France+France @ 4,787861
4 Spain+France+France+England @ 4,796369
5 Portugal+France+France+France @ 4,800964
6 Spain+France+France+British_mixed @ 4,819004
7 Frisian_DK+Spain+Spain+France @ 4,830061
8 Spain+Spain+France+France @ 4,830352
9 German_Austria+Spain+France+France @ 4,836074
10 Spain+Spain+France+Wales @ 4,856862
11 France+France+France+France @ 4,858591
12 Spain+France+France+Holland @ 4,860264
13 Spain+Spain+France+England @ 4,870077
14 Spain+Spain+France+British_mixed @ 4,874989
15 German_Austria+Spain+Spain+France @ 4,889168
16 Spain+France+France+Man_Isle @ 4,889431
17 IT_Veneto+France+France+France @ 4,916653
18 German+Spain+France+France @ 4,918678
19 Portugal+Spain+France+France @ 4,922992
20 Frisian_DK+Portugal+France+France @ 4,927119
21 Spain+IT_Veneto+France+France @ 4,927312
22 Spain+France+France+Scotland @ 4,930549
23 Portugal+France+France+Wales @ 4,934367
24 Spain+Austria+France+France @ 4,935791
25 Spain+Spain+France+Holland @ 4,936501
26 Frisian_DK+Portugal+Spain+France @ 4,936956
27 Portugal+France+France+England @ 4,937806
28 Spain+France+France+Ireland @ 4,946655
29 Frisian_DK+Spain+Spain+Spain @ 4,956583
30 Portugal+Spain+France+Wales @ 4,961085
31 Portugal+France+France+British_mixed @ 4,966038
32 German_Volga+Spain+France+France @ 4,969107
33 France+France+France+Man_Isle @ 4,971486
34 Portugal+Spain+France+England @ 4,971509
35 German_Austria+Portugal+France+France @ 4,978085
36 Hungarian_Slovenian+Spain+France+France @ 4,982122
37 Portugal+Spain+France+British_mixed @ 4,983744
38 Frisian_DK+Spain+Spain+Wales @ 4,986377
39 German_Austria+Portugal+Spain+France @ 4,986596
40 Portugal+Portugal+France+France @ 4,986614
26105790 iterations.

As I am 2/4 Norman + 1/4 Septimanian (south west France) + 1/4 Spanish, as I told you the Gaussian method results fits very better to my background and ancestry than the first ones

The gaussian method results are pretty accurate with my ancestry ! specially these ones. Good job

I guess Wales and Frisian comes from Norman side which is pretty logical.

Using 4 populations approximation:
1 Spain+France+France+France @ 4,67071
2 Spain+France+France+Wales @ 4,786666
3 Frisian_DK+Spain+France+France @ 4,787861
4 Spain+France+France+England @ 4,796369

[Lucas]

Nice work guys Want some help filling more populations? If you need Gedmatch IDs just ask.

It seems very accurate

Yes. If somebody want to help model regionally some country, contact me or Litvin. We won't publish any kits on forum.

[Sikeliot]

I can't publish them. Can someone run it for these two Sicilians? First is from Agrigento, second from Trapani and they are part of the averages.


Population
Amerindian -
Arabian 7.36
Armenian 5.48
Basque 0.56
Central_African -
Central_Euro 0.56
East_African 0.58
East_Asian -
East_Balkan 3.63
East_Central_Asian -
East_Central_Euro 0.69
East_Med 16.68
Eastern_Euro 2.05
Fennoscandian -
French 1.31
Iberian 9.35
Indo-Chinese -
Italian 19.24
Malayan -
Near_Eastern 11.57
North_African 2.67
North_Atlantic -
North_Caucasian 5.37
North_Sea 4.48
Northeast_African -
Oceanian -
Omotic -
Pygmy -
Siberian -
South_Asian -
South_Central_Asian -
South_Chinese -
Volga-Ural -
West_African 0.16
West_Caucasian 2.65
West_Med 5.61



Population
Amerindian -
Arabian 1.80
Armenian 6.08
Basque 4.19
Central_African -
Central_Euro -
East_African -
East_Asian -
East_Balkan 3.43
East_Central_Asian -
East_Central_Euro -
East_Med 16.38
Eastern_Euro -
Fennoscandian -
French 2.47
Iberian 10.14
Indo-Chinese -
Italian 23.25
Malayan -
Near_Eastern 14.80
North_African 2.48
North_Atlantic 1.32
North_Caucasian -
North_Sea 5.96
Northeast_African 0.79
Oceanian -
Omotic -
Pygmy -
Siberian -
South_Asian -
South_Central_Asian -
South_Chinese -
Volga-Ural 0.49
West_African -
West_Caucasian 0.31
West_Med 6.11

[Ilma]

Yes. If somebody want to help model regionally some country, contact me or Litvin. We won't publish any kits on forum.

Yes find some 100% natives from Normandy I wanna score in oracle my Norman side for once and not see "france all the time

Seriously good job, thanks for it !

[Lucas]

I can't publish them. Can someone run it for these two Sicilians? First is from Agrigento, second from Trapani and they are part of the averages.

First one. For Sicilan regional level it's hard work.

Least-squares method.

Using 1 population approximation:
1 Askhenazi @ 5,92714
2 Sicily_Palermo @ 6,431769
3 Sicily_Agrigento @ 6,760688
4 IT_Calabria @ 6,796476
5 Sicily_Catania @ 6,866613
6 Sicily_Caltanisetta @ 7,042664
7 Sicily_Trapani @ 7,089282
8 GR_Crete @ 7,568572
9 Sicily_Messina @ 7,768494
10 Gr_Chios @ 7,884164
11 Sicily_Ragusa @ 7,989797
12 GR_Ikaria @ 8,173813
13 Gr_Andros @ 8,289911
14 Ashkenazi_Eastern_Euro @ 8,413059
15 GR_Kythera @ 8,699376
16 Gr_Kalymnos @ 8,93005
17 Greek_Peloponnes @ 10,728723
18 GR_Cyclades @ 10,734001
19 GR_Peloponese2 @ 11,810567
20 GR_Pontic @ 12,441458
164 iterations.

Using 2 populations approximation:
1 IT_Calabria+Askhenazi @ 5,359103
2 Sicily_Catania+Askhenazi @ 5,432503
3 Sicily_Palermo+Askhenazi @ 5,437898
4 Sicily_Trapani+Askhenazi @ 5,613596
5 Sicily_Agrigento+Askhenazi @ 5,761744
6 Gr_Andros+Askhenazi @ 5,841352
7 Sicily_Caltanisetta+Askhenazi @ 5,916498
8 Askhenazi+Askhenazi @ 5,92714
9 Sicily_Palermo+GR_Crete @ 5,928699
10 GR_Ikaria+Askhenazi @ 5,945421
11 GR_Crete+Askhenazi @ 5,961722
12 Gr_Chios+Askhenazi @ 6,026238
13 Sicily_Messina+Askhenazi @ 6,036611
14 Sicily_Ragusa+Askhenazi @ 6,038148
15 Sicily_Agrigento+GR_Crete @ 6,078739
16 Sicily_Agrigento+Gr_Andros @ 6,082425
17 Sicily_Trapani+GR_Crete @ 6,179262
18 GR_Kythera+Askhenazi @ 6,18931
19 Sicily_Agrigento+GR_Ikaria @ 6,194149
20 Sicily_Caltanisetta+GR_Crete @ 6,219695
13530 iterations.

Using 3 populations approximation:
1 50% Askhenazi +25% Sicily_Palermo +25% IT_Calabria @ 5,304583
2 50% Askhenazi +25% Sicily_Palermo +25% Gr_Andros @ 5,335525
3 50% Askhenazi +25% Sicily_Catania +25% IT_Calabria @ 5,339067
4 50% Askhenazi +25% IT_Calabria +25% Gr_Andros @ 5,345746
5 50% Askhenazi +25% Sicily_Catania +25% Gr_Andros @ 5,345925
6 50% Askhenazi +25% Sicily_Agrigento +25% Gr_Andros @ 5,348348
7 50% IT_Calabria +25% Askhenazi +25% Askhenazi @ 5,359103
8 50% Askhenazi +25% Sicily_Catania +25% Sicily_Palermo @ 5,367103
9 50% Askhenazi +25% IT_Calabria +25% Askhenazi @ 5,3796
10 50% Askhenazi +25% Sicily_Palermo +25% GR_Ikaria @ 5,381266
11 50% Askhenazi +25% Sicily_Trapani +25% IT_Calabria @ 5,383187
12 50% Askhenazi +25% Sicily_Palermo +25% GR_Crete @ 5,38632
13 50% IT_Calabria +25% IT_Veneto +25% Syria_Liban @ 5,396535
14 50% Askhenazi +25% Sicily_Trapani +25% GR_Ikaria @ 5,416163
15 50% Askhenazi +25% Sicily_Trapani +25% Gr_Andros @ 5,418406
16 50% Askhenazi +25% Sicily_Catania +25% Askhenazi @ 5,423503
17 50% Sicily_Catania +25% Askhenazi +25% Askhenazi @ 5,432503
18 50% Askhenazi +25% Sicily_Agrigento +25% IT_Calabria @ 5,433555
19 50% Askhenazi +25% Sicily_Catania +25% Sicily_Trapani @ 5,437012
20 50% Sicily_Palermo +25% Askhenazi +25% Askhenazi @ 5,437898
1094092 iterations.

Using 4 populations approximation:
1 Sicily_Palermo+IT_Calabria+Askhenazi+Askhenazi @ 5,304583
2 Sicily_Palermo+Gr_Andros+Askhenazi+Askhenazi @ 5,335525
3 Sicily_Catania+IT_Calabria+Askhenazi+Askhenazi @ 5,339067
4 IT_Calabria+Gr_Andros+Askhenazi+Askhenazi @ 5,345746
5 Sicily_Catania+Gr_Andros+Askhenazi+Askhenazi @ 5,345925
6 Sicily_Agrigento+Gr_Andros+Askhenazi+Askhenazi @ 5,348348