Printable View
Maybe 5 was too low, but under 10 anyway. For example my under 10's are relatively straight forward being North Sea/North Atlantic like.Quote:
Originally Posted by Alex Delarge
1 Orcadian 4.18
2 West_Norwegian 6.01
3 West_Scottish 6.03
4 North_Dutch 6.8
5 Danish 7.03
6 Irish 7.22
7 Southeast_English 7.51
8 Norwegian 7.61
9 Southwest_English 8.47
10 Swedish 9.59
Yep, under 10 is usually the closest things we have to home, even geographically speaking:Quote:
Originally Posted by Graham
http://oi44.tinypic.com/14a8qrq.jpg
Above 10 it starts to get more random. At least this is the impression i have from looking at my own results. Don't know if it applies to everyone.
So in the run of this thread, it starts already random.
Would someone be able to run my mother's results please? These are from GEDmatch over a month ago so they are accurate.
Population
North_Sea 37.52%
Atlantic 29.36%
Baltic 7.75%
Eastern_Euro 10.90%
West_Med 8.71%
West_Asian 4.01%
East_Med -
Red_Sea -
South_Asian 0.69%
Southeast_Asian -
Siberian 0.15%
Amerindian 0.42%
Oceanian 0.37%
Northeast_African -
Sub-Saharan 0.11%
My results:
Least-squares method.
Using 1 population approximation:
1 Ajvide58 @ 12,094903
2 Ajvide70 @ 15,778786
3 StoraFörvar11 @ 18,10863
4 La_Brana-1 @ 19,503223
5 Gokhem7 @ 50,158882
6 MA-1 @ 50,816299
7 Gokhem2 @ 52,35125
8 Lezgin @ 55,220915
9 Sardinian @ 64,473557
10 Yemenite_Jewish @ 76,9325
11 Australian_Aboriginal @ 84,35866
12 Evens @ 86,480503
13 Ethiopian_Ari_cultivator @ 91,599115
14 Sakilli @ 92,581492
15 Anzick-1 @ 100,728879
16 Dai @ 102,542501
17 Papuan @ 104,922607
18 Yoruban @ 106,82152
18 iterations.
Using 4 populations approximation:
1 Ajvide58+Ajvide58+Ajvide58+Ajvide58 @ 12,094903
2 Ajvide58+Ajvide58+Ajvide58+StoraFörvar11 @ 12,285158
3 Ajvide58+Ajvide58+Ajvide58+Ajvide70 @ 12,783553
4 Ajvide58+Ajvide58+Ajvide70+StoraFörvar11 @ 12,885955
5 Ajvide58+Ajvide58+Ajvide58+La_Brana-1 @ 13,163908
6 Ajvide58+Ajvide58+La_Brana-1+StoraFörvar11 @ 13,320444
7 Ajvide58+Ajvide58+StoraFörvar11+StoraFörvar11 @ 13,51828
8 Ajvide58+Ajvide58+Ajvide70+La_Brana-1 @ 13,620003
9 Ajvide58+Ajvide58+Ajvide70+Ajvide70 @ 13,647124
10 Ajvide58+Ajvide70+Ajvide70+StoraFörvar11 @ 13,669777
Gaussian method.
Noise dispersion set to 0,33296
Using 1 population approximation:
1 Ajvide58 @ 7,216912
2 Ajvide70 @ 9,463292
3 La_Brana-1 @ 9,504333
4 StoraFörvar11 @ 13,990646
5 Lezgin @ 18,750757
6 MA-1 @ 39,935188
7 Sardinian @ 52,815321
8 Evens @ 55,89655
9 Sakilli @ 59,311667
10 Gokhem7 @ 62,701385
11 Gokhem2 @ 63,389206
12 Ethiopian_Ari_cultivator @ 69,311442
13 Yemenite_Jewish @ 82,259839
14 Dai @ 86,105323
15 Anzick-1 @ 105,597119
16 Papuan @ 115,866244
17 Yoruban @ 116,686745
18 Australian_Aboriginal @ 117,883807
18 iterations.
Using 4 populations approximation:
1 Ajvide58+Ajvide58+Ajvide58+Ajvide58 @ 7,216912
2 Ajvide58+Ajvide58+Ajvide58+La_Brana-1 @ 7,604438
3 Ajvide58+Ajvide58+Ajvide58+Ajvide70 @ 7,811983
4 Ajvide58+Ajvide58+Ajvide58+StoraFörvar11 @ 8,060299
5 Ajvide58+Ajvide58+La_Brana-1+La_Brana-1 @ 8,087079
6 Ajvide58+Ajvide58+Ajvide70+La_Brana-1 @ 8,221254
7 Ajvide58+Ajvide58+Ajvide70+Ajvide70 @ 8,27217
8 Ajvide58+Ajvide58+Ajvide58+MA-1 @ 8,312023
9 Ajvide58+Ajvide58+Ajvide58+Evens @ 8,478332
10 Ajvide58+Ajvide58+Ajvide70+StoraFörvar11 @ 8,486774
Quite a big difference between the two methods. I wonder if the former emphasizes genealogical relatedness and the Gaussian one recognizes more fragmented admixture.
Here you go:Quote:
Originally Posted by Jaxman
Least-squares method.
Using 1 population approximation:
1 Ajvide58 @ 26,750941
2 Ajvide70 @ 27,080347
3 La_Brana-1 @ 27,33652
4 StoraFörvar11 @ 39,203963
5 Gokhem7 @ 42,297236
6 Gokhem2 @ 42,910475
7 Sardinian @ 55,906034
8 Lezgin @ 57,343033
9 MA-1 @ 63,155432
10 Yemenite_Jewish @ 78,328202
11 Australian_Aboriginal @ 87,224234
12 Ethiopian_Ari_cultivator @ 93,469691
13 Sakilli @ 93,672943
14 Evens @ 95,255601
15 Anzick-1 @ 103,592856
16 Dai @ 104,414416
17 Papuan @ 107,382624
18 Yoruban @ 108,457672
18 iterations.
Using 2 populations approximation:
1 Ajvide70+Gokhem2 @ 24,928838
2 Ajvide58+Gokhem2 @ 25,231866
3 Gokhem7+La_Brana-1 @ 25,335599
4 Ajvide58+Gokhem7 @ 25,65366
5 Ajvide70+La_Brana-1 @ 25,830939
6 Ajvide70+Gokhem7 @ 25,999207
7 Ajvide58+La_Brana-1 @ 26,256843
8 Ajvide58+Ajvide70 @ 26,703831
9 Ajvide58+Ajvide58 @ 26,750941
10 Gokhem2+La_Brana-1 @ 26,909873
11 Ajvide70+Ajvide70 @ 27,080347
12 La_Brana-1+La_Brana-1 @ 27,33652
13 Ajvide70+Sardinian @ 29,769759
14 Ajvide58+Sardinian @ 30,147648
15 Gokhem2+StoraFörvar11 @ 30,232175
16 Gokhem7+StoraFörvar11 @ 30,665583
17 La_Brana-1+Sardinian @ 31,652156
18 La_Brana-1+StoraFörvar11 @ 32,307263
171 iterations.
Using 3 populations approximation:
1 50% Ajvide70 +25% Gokhem2 +25% La_Brana-1 @ 22,400965
2 50% Ajvide70 +25% Ajvide58 +25% Gokhem2 @ 22,512604
3 50% La_Brana-1 +25% Ajvide70 +25% Gokhem7 @ 22,544501
4 50% Ajvide58 +25% Ajvide70 +25% Gokhem2 @ 22,547746
5 50% Ajvide70 +25% Ajvide70 +25% Gokhem2 @ 22,603673
6 50% Ajvide70 +25% Gokhem7 +25% La_Brana-1 @ 22,69424
7 50% Ajvide58 +25% Ajvide58 +25% Gokhem2 @ 22,708512
8 50% La_Brana-1 +25% Ajvide58 +25% Gokhem7 @ 22,739858
9 50% Ajvide58 +25% Gokhem7 +25% La_Brana-1 @ 22,741954
10 50% Ajvide58 +25% Gokhem2 +25% La_Brana-1 @ 22,81437
11 50% La_Brana-1 +25% Ajvide70 +25% Gokhem2 @ 23,004767
12 50% La_Brana-1 +25% Gokhem7 +25% La_Brana-1 @ 23,195245
13 50% Ajvide58 +25% Ajvide58 +25% Gokhem7 @ 23,201411
14 50% Ajvide58 +25% Ajvide70 +25% Gokhem7 @ 23,22266
15 50% Ajvide70 +25% La_Brana-1 +25% Sardinian @ 23,304645
16 50% Ajvide70 +25% Ajvide58 +25% Gokhem7 @ 23,366014
17 50% La_Brana-1 +25% Ajvide58 +25% Gokhem2 @ 23,373662
18 50% Ajvide70 +25% Ajvide58 +25% Sardinian @ 23,382676
2843 iterations.
Using 4 populations approximation:
1 Ajvide70+Ajvide70+Gokhem2+La_Brana-1 @ 22,400965
2 Ajvide58+Ajvide70+Ajvide70+Gokhem2 @ 22,512604
3 Ajvide70+Gokhem7+La_Brana-1+La_Brana-1 @ 22,544501
4 Ajvide58+Ajvide70+Gokhem2+La_Brana-1 @ 22,545582
5 Ajvide58+Ajvide58+Ajvide70+Gokhem2 @ 22,547746
6 Ajvide70+Ajvide70+Ajvide70+Gokhem2 @ 22,603673
7 Ajvide58+Ajvide70+Gokhem7+La_Brana-1 @ 22,655384
8 Ajvide70+Ajvide70+Gokhem7+La_Brana-1 @ 22,69424
9 Ajvide58+Ajvide58+Ajvide58+Gokhem2 @ 22,708512
10 Ajvide58+Gokhem7+La_Brana-1+La_Brana-1 @ 22,739858
11 Ajvide58+Ajvide58+Gokhem7+La_Brana-1 @ 22,741954
12 Ajvide58+Ajvide58+Gokhem2+La_Brana-1 @ 22,81437
13 Ajvide70+Gokhem2+La_Brana-1+La_Brana-1 @ 23,004767
14 Gokhem7+La_Brana-1+La_Brana-1+La_Brana-1 @ 23,195245
15 Ajvide58+Ajvide58+Ajvide58+Gokhem7 @ 23,201411
16 Ajvide58+Ajvide58+Ajvide70+Gokhem7 @ 23,22266
17 Ajvide70+Ajvide70+La_Brana-1+Sardinian @ 23,304645
18 Ajvide58+Ajvide70+Ajvide70+Gokhem7 @ 23,366014
19 Ajvide58+Gokhem2+La_Brana-1+La_Brana-1 @ 23,373662
20 Ajvide58+Ajvide70+Ajvide70+Sardinian @ 23,382676
21 Ajvide70+Ajvide70+Ajvide70+Sardinian @ 23,430701
22 Ajvide58+Ajvide58+Ajvide70+Sardinian @ 23,456205
23 Ajvide58+Ajvide70+La_Brana-1+Sardinian @ 23,483334
24 Ajvide70+Ajvide70+Ajvide70+Gokhem7 @ 23,629251
25 Ajvide58+Ajvide58+Ajvide58+Sardinian @ 23,650153
26 Ajvide58+Ajvide58+La_Brana-1+Sardinian @ 23,780659
27 Ajvide70+La_Brana-1+La_Brana-1+Sardinian @ 23,953164
28 Ajvide58+La_Brana-1+La_Brana-1+Sardinian @ 24,345911
29 Gokhem2+La_Brana-1+La_Brana-1+La_Brana-1 @ 24,355171
30 Ajvide58+Ajvide70+Gokhem2+Gokhem7 @ 24,779951
31 Ajvide58+Ajvide58+Gokhem2+Gokhem7 @ 24,823979
32 Ajvide70+Gokhem2+Gokhem7+La_Brana-1 @ 24,828245
33 Ajvide70+Ajvide70+Gokhem2+Gokhem7 @ 24,850637
34 Ajvide70+Ajvide70+Gokhem2+Gokhem2 @ 24,928838
35 Ajvide58+Gokhem2+Gokhem7+La_Brana-1 @ 24,970828
36 Ajvide58+Ajvide70+Gokhem2+Gokhem2 @ 25,024007
5985 iterations.
Gaussian method.
Noise dispersion set to 0,33296
Using 1 population approximation:
1 Ajvide58 @ 18,11027
2 Lezgin @ 22,6026
3 La_Brana-1 @ 25,402124
4 Ajvide70 @ 25,861603
5 Sardinian @ 27,421193
6 StoraFörvar11 @ 27,91489
7 Gokhem7 @ 28,512576
8 Gokhem2 @ 31,719241
9 Sakilli @ 63,028237
10 Evens @ 64,159658
11 Yemenite_Jewish @ 71,18355
12 Ethiopian_Ari_cultivator @ 73,093591
13 MA-1 @ 80,280304
14 Dai @ 95,333271
15 Yoruban @ 120,82774
16 Papuan @ 123,317428
17 Australian_Aboriginal @ 124,483016
18 Anzick-1 @ 124,883941
18 iterations.
Using 2 populations approximation:
1 Gokhem7+La_Brana-1 @ 9,512784
2 Ajvide58+Gokhem7 @ 10,281734
3 Ajvide70+Gokhem7 @ 10,824027
4 Ajvide58+Sardinian @ 11,653001
5 Ajvide70+Sardinian @ 11,715245
6 La_Brana-1+Sardinian @ 12,159516
7 Gokhem7+StoraFörvar11 @ 12,620055
8 Sardinian+StoraFörvar11 @ 13,093458
9 Ajvide58+Gokhem2 @ 14,117132
10 Ajvide70+Gokhem2 @ 14,269623
11 Gokhem2+La_Brana-1 @ 14,281975
12 Gokhem2+Lezgin @ 14,289546
13 Gokhem7+Lezgin @ 14,726853
14 Gokhem2+StoraFörvar11 @ 15,12914
15 La_Brana-1+Yemenite_Jewish @ 15,76725
16 Ajvide58+Yemenite_Jewish @ 16,123204
17 Lezgin+Sardinian @ 16,287449
18 Ajvide70+Yemenite_Jewish @ 16,698785
171 iterations.
Using 3 populations approximation:
1 50% La_Brana-1 +25% Gokhem7 +25% La_Brana-1 @ 8,969419
2 50% La_Brana-1 +25% Ajvide58 +25% Gokhem7 @ 9,145961
3 50% La_Brana-1 +25% Ajvide70 +25% Gokhem7 @ 9,243056
4 50% Ajvide58 +25% Gokhem7 +25% La_Brana-1 @ 9,395714
5 50% Gokhem7 +25% La_Brana-1 +25% La_Brana-1 @ 9,512784
6 50% Ajvide70 +25% Gokhem7 +25% La_Brana-1 @ 9,698668
7 50% Ajvide58 +25% Ajvide58 +25% Gokhem7 @ 9,776043
8 50% La_Brana-1 +25% Gokhem7 +25% StoraFörvar11 @ 9,830102
9 50% Gokhem7 +25% Ajvide58 +25% La_Brana-1 @ 9,836032
10 50% Ajvide58 +25% Ajvide70 +25% Gokhem7 @ 9,923673
11 50% La_Brana-1 +25% Gokhem2 +25% Gokhem7 @ 9,991041
12 50% Gokhem7 +25% Ajvide70 +25% La_Brana-1 @ 10,041993
13 50% Ajvide70 +25% Ajvide58 +25% Gokhem7 @ 10,145218
14 50% Ajvide58 +25% Gokhem2 +25% Gokhem7 @ 10,197509
15 50% Ajvide58 +25% Gokhem7 +25% Gokhem7 @ 10,281734
16 50% La_Brana-1 +25% Gokhem7 +25% Sardinian @ 10,307716
17 50% Ajvide70 +25% Ajvide70 +25% Gokhem7 @ 10,372562
18 50% Ajvide58 +25% Gokhem7 +25% Sardinian @ 10,41798
2907 iterations.
Using 4 populations approximation:
1 Gokhem7+La_Brana-1+La_Brana-1+La_Brana-1 @ 8,969419
2 Ajvide58+Gokhem7+La_Brana-1+La_Brana-1 @ 9,145961
3 Ajvide70+Gokhem7+La_Brana-1+La_Brana-1 @ 9,243056
4 Ajvide58+Ajvide58+Gokhem7+La_Brana-1 @ 9,395714
5 Ajvide58+Ajvide70+Gokhem7+La_Brana-1 @ 9,510979
6 Gokhem7+Gokhem7+La_Brana-1+La_Brana-1 @ 9,512784
7 Ajvide70+Ajvide70+Gokhem7+La_Brana-1 @ 9,698668
8 Ajvide58+Ajvide58+Ajvide58+Gokhem7 @ 9,776043
9 Gokhem7+La_Brana-1+La_Brana-1+StoraFörvar11 @ 9,830102
10 Ajvide58+Gokhem7+Gokhem7+La_Brana-1 @ 9,836032
11 Ajvide58+Ajvide58+Ajvide70+Gokhem7 @ 9,923673
12 Gokhem2+Gokhem7+La_Brana-1+La_Brana-1 @ 9,991041
13 Ajvide70+Gokhem7+Gokhem7+La_Brana-1 @ 10,041993
14 Ajvide58+Gokhem2+Gokhem7+La_Brana-1 @ 10,05476
15 Ajvide58+Ajvide70+Ajvide70+Gokhem7 @ 10,145218
16 Ajvide58+Gokhem7+La_Brana-1+StoraFörvar11 @ 10,176575
17 Ajvide70+Gokhem2+Gokhem7+La_Brana-1 @ 10,17679
18 Ajvide58+Ajvide58+Gokhem2+Gokhem7 @ 10,197509
19 Ajvide58+Ajvide58+Gokhem7+Gokhem7 @ 10,281734
20 Gokhem7+La_Brana-1+La_Brana-1+Sardinian @ 10,307716
21 Ajvide58+Gokhem7+La_Brana-1+Sardinian @ 10,322357
22 Ajvide58+Ajvide70+Gokhem2+Gokhem7 @ 10,329932
23 Ajvide70+Gokhem7+La_Brana-1+StoraFörvar11 @ 10,351691
24 Ajvide70+Ajvide70+Ajvide70+Gokhem7 @ 10,372562
25 Ajvide70+Gokhem7+La_Brana-1+Sardinian @ 10,417353
26 Ajvide58+Ajvide58+Gokhem7+Sardinian @ 10,41798
27 Gokhem7+La_Brana-1+La_Brana-1+Lezgin @ 10,435231
28 Ajvide58+Ajvide70+Gokhem7+Gokhem7 @ 10,509379
29 Ajvide58+Ajvide70+Gokhem7+Sardinian @ 10,525962
30 Ajvide70+Ajvide70+Gokhem2+Gokhem7 @ 10,549956
31 Gokhem7+Gokhem7+La_Brana-1+StoraFörvar11 @ 10,589786
32 Gokhem2+Gokhem7+La_Brana-1+StoraFörvar11 @ 10,641138
33 Ajvide58+Gokhem2+La_Brana-1+Lezgin @ 10,660727
34 Gokhem2+La_Brana-1+La_Brana-1+Lezgin @ 10,673551
35 Ajvide58+Ajvide58+Gokhem7+StoraFörvar11 @ 10,704561
36 Ajvide70+Ajvide70+Gokhem7+Sardinian @ 10,720102
5985 iterations.
GEDmatch is up but I can't get the programme to work. I enter the data and press 'go' and the programme crashes. Any help?
Change the dots into commas in the text file.Quote:
Originally Posted by Longbowman
I forgot not everyone is an Anglophone.Quote:
Originally Posted by Gaston
only 5 people can run a program at onceQuote:
Originally Posted by Longbowman
Still won't work :/Quote:
Originally Posted by Gaston