Post your Eurogenes EUtest V2 K15 results

**Graham** · 07-16-2014, 08:48 PM

Finns are True Europeans, the rest of us are migrant bastards.

**HellLander87** · 07-16-2014, 08:49 PM

Originally Posted by Ukko

Europe was once inhabited by reindeer riding mongols.

Lol no farmer blood in your vains.

**Black Wolf** · 07-16-2014, 09:53 PM

Originally Posted by HellLander87

Least-squares method.

Using 1 population approximation:
1 Ajvide58 @ 20.501122
2 Ajvide70 @ 21.26634
3 La_Brana-1 @ 22.35734
4 StoraFörvar11 @ 30.917754
5 Gokhem2 @ 39.287164
6 Gokhem7 @ 39.294147
7 Lezgin @ 48.71411
8 Sardinian @ 51.224121
9 MA-1 @ 55.369413
10 Yemenite_Jewish @ 66.716188
11 Australian_Aboriginal @ 81.761826
12 Sakilli @ 88.998504
13 Ethiopian_Ari_cultivator @ 89.10751
14 Evens @ 90.195134
15 Anzick-1 @ 99.253522
16 Dai @ 100.590102
17 Papuan @ 102.81513
18 Yoruban @ 104.816867
18 iterations.

Using 2 populations approximation:
1 Ajvide70+Gokhem2 @ 18.220571
2 Ajvide58+Gokhem2 @ 18.441119
3 Ajvide58+Gokhem7 @ 19.69616
4 Gokhem7+La_Brana-1 @ 19.891258
5 Ajvide70+La_Brana-1 @ 20.074265
6 Ajvide70+Gokhem7 @ 20.319983
7 Ajvide58+La_Brana-1 @ 20.446174
8 Ajvide58+Ajvide58 @ 20.501122
9 Ajvide58+Ajvide70 @ 20.612914
10 Gokhem2+La_Brana-1 @ 21.248768
11 Ajvide70+Ajvide70 @ 21.26634
12 Gokhem2+StoraFörvar11 @ 21.784147
13 Ajvide70+Sardinian @ 22.246517
14 La_Brana-1+La_Brana-1 @ 22.35734
15 Ajvide58+Sardinian @ 22.592813
16 Gokhem7+StoraFörvar11 @ 22.963956
17 La_Brana-1+Sardinian @ 25.047048
18 La_Brana-1+StoraFörvar11 @ 25.090244
171 iterations.

Using 3 populations approximation:
1 50% Ajvide58 +25% Ajvide70 +25% Sardinian @ 14.382963
2 50% Ajvide70 +25% Ajvide58 +25% Sardinian @ 14.386899
3 50% Ajvide58 +25% Ajvide58 +25% Sardinian @ 14.575616
4 50% Ajvide70 +25% Ajvide70 +25% Sardinian @ 14.587265
5 50% Ajvide70 +25% La_Brana-1 +25% Sardinian @ 14.673456
6 50% Ajvide58 +25% Ajvide70 +25% Gokhem2 @ 14.697399
7 50% Ajvide70 +25% Ajvide58 +25% Gokhem2 @ 14.764392
8 50% Ajvide58 +25% Ajvide58 +25% Gokhem2 @ 14.823359
9 50% Ajvide70 +25% Gokhem2 +25% La_Brana-1 @ 14.998123
10 50% Ajvide70 +25% Ajvide70 +25% Gokhem2 @ 15.021758
11 50% Ajvide58 +25% La_Brana-1 +25% Sardinian @ 15.18582
12 50% Ajvide70 +25% Gokhem2 +25% Lezgin @ 15.3354
13 50% Ajvide58 +25% Gokhem2 +25% La_Brana-1 @ 15.379256
14 50% Ajvide58 +25% Gokhem2 +25% Lezgin @ 15.470132
15 50% Ajvide58 +25% Gokhem7 +25% La_Brana-1 @ 15.697861
16 50% Ajvide70 +25% Gokhem7 +25% La_Brana-1 @ 15.854632
17 50% La_Brana-1 +25% Ajvide70 +25% Gokhem7 @ 15.906245
18 50% La_Brana-1 +25% Ajvide70 +25% Sardinian @ 15.949021
1598 iterations.

Using 4 populations approximation:
1 Ajvide58+Ajvide58+Ajvide70+Sardinian @ 14.382963
2 Ajvide58+Ajvide70+Ajvide70+Sardinian @ 14.386899
3 Ajvide58+Ajvide58+Ajvide58+Sardinian @ 14.575616
4 Ajvide70+Ajvide70+Ajvide70+Sardinian @ 14.587265
5 Ajvide70+Ajvide70+La_Brana-1+Sardinian @ 14.673456
6 Ajvide58+Ajvide58+Ajvide70+Gokhem2 @ 14.697399
7 Ajvide58+Ajvide70+Ajvide70+Gokhem2 @ 14.764392
8 Ajvide58+Ajvide58+Ajvide58+Gokhem2 @ 14.823359
9 Ajvide58+Ajvide70+La_Brana-1+Sardinian @ 14.836227
10 Ajvide70+Ajvide70+Gokhem2+La_Brana-1 @ 14.998123
11 Ajvide70+Ajvide70+Ajvide70+Gokhem2 @ 15.021758
12 Ajvide58+Ajvide70+Gokhem2+La_Brana-1 @ 15.09591
13 Ajvide58+Ajvide58+La_Brana-1+Sardinian @ 15.18582
14 Ajvide58+Ajvide70+Gokhem2+Lezgin @ 15.310246
15 Ajvide70+Ajvide70+Gokhem2+Lezgin @ 15.3354
16 Ajvide58+Ajvide58+Gokhem2+La_Brana-1 @ 15.379256
17 Ajvide58+Ajvide58+Gokhem2+Lezgin @ 15.470132
18 Ajvide58+Ajvide70+Gokhem7+La_Brana-1 @ 15.685981
19 Ajvide58+Ajvide58+Gokhem7+La_Brana-1 @ 15.697861
20 Ajvide70+Ajvide70+Gokhem7+La_Brana-1 @ 15.854632
21 Ajvide70+Gokhem7+La_Brana-1+La_Brana-1 @ 15.906245
22 Ajvide70+Gokhem2+La_Brana-1+Lezgin @ 15.926096
23 Ajvide70+La_Brana-1+La_Brana-1+Sardinian @ 15.949021
24 Ajvide58+Ajvide58+Ajvide58+Gokhem7 @ 15.986285
25 Ajvide58+Gokhem7+La_Brana-1+La_Brana-1 @ 16.071653
26 Ajvide58+Ajvide58+Ajvide70+Gokhem7 @ 16.127771
27 Ajvide70+Gokhem2+La_Brana-1+La_Brana-1 @ 16.148471
28 Ajvide58+Gokhem2+La_Brana-1+Lezgin @ 16.232018
29 Ajvide58+La_Brana-1+La_Brana-1+Sardinian @ 16.425082
30 Ajvide58+Ajvide70+Ajvide70+Gokhem7 @ 16.442047
31 Ajvide70+Ajvide70+Lezgin+Sardinian @ 16.489562
32 Ajvide70+Gokhem7+La_Brana-1+Lezgin @ 16.504377
33 Ajvide58+Ajvide70+Lezgin+Sardinian @ 16.52257
34 Ajvide58+Gokhem7+La_Brana-1+Lezgin @ 16.552045
35 Ajvide58+Gokhem2+La_Brana-1+La_Brana-1 @ 16.562749
36 Ajvide58+Ajvide58+Gokhem7+Lezgin @ 16.605563
1391 iterations.

Gaussian method.
Noise dispersion set to 0.33296

Using 1 population approximation:
1 Lezgin @ 24.413185
2 Ajvide58 @ 36.690153
3 Sardinian @ 39.520117
4 La_Brana-1 @ 42.81647
5 Ajvide70 @ 42.947106
6 StoraFörvar11 @ 44.204873
7 Gokhem7 @ 44.786459
8 Gokhem2 @ 49.360326
9 Sakilli @ 74.78189
10 Evens @ 75.919071
11 Ethiopian_Ari_cultivator @ 86.216008
12 Yemenite_Jewish @ 87.03137
13 MA-1 @ 87.586182
14 Dai @ 114.73267
15 Anzick-1 @ 146.993631
16 Australian_Aboriginal @ 147.775425
17 Yoruban @ 148.110232
18 Papuan @ 149.206022
18 iterations.

Using 2 populations approximation:
1 Ajvide70+Sardinian @ 12.936779
2 Ajvide58+Sardinian @ 12.976462
3 La_Brana-1+Sardinian @ 13.964847
4 Sardinian+StoraFörvar11 @ 14.086866
5 Gokhem7+Lezgin @ 14.856163
6 Gokhem2+Lezgin @ 14.965508
7 Gokhem7+La_Brana-1 @ 15.564311
8 Ajvide58+Gokhem7 @ 15.76452
9 Ajvide58+Yemenite_Jewish @ 16.022189
10 Ajvide70+Gokhem7 @ 16.093537
11 La_Brana-1+Yemenite_Jewish @ 16.290713
12 Ajvide70+Yemenite_Jewish @ 16.707712
13 Gokhem7+StoraFörvar11 @ 17.043193
14 Lezgin+Sardinian @ 17.684995
15 Ajvide58+Lezgin @ 18.007896
16 Ajvide58+Gokhem2 @ 19.670284
17 Ajvide70+Gokhem2 @ 19.735207
18 Gokhem2+La_Brana-1 @ 20.067892
171 iterations.

Using 3 populations approximation:
1 50% Ajvide58 +25% Lezgin +25% Sardinian @ 9.40638
2 50% Ajvide58 +25% Gokhem2 +25% Lezgin @ 9.453305
3 50% Ajvide70 +25% Lezgin +25% Sardinian @ 9.749995
4 50% La_Brana-1 +25% Gokhem2 +25% Lezgin @ 9.80806
5 50% Ajvide70 +25% Gokhem2 +25% Lezgin @ 9.882897
6 50% La_Brana-1 +25% Lezgin +25% Sardinian @ 10.023686
7 50% La_Brana-1 +25% Gokhem7 +25% Lezgin @ 10.214314
8 50% Ajvide58 +25% Gokhem7 +25% Lezgin @ 10.680328
9 50% Ajvide58 +25% Gokhem7 +25% Sardinian @ 10.714385
10 50% Ajvide70 +25% Gokhem7 +25% Sardinian @ 10.933953
11 50% La_Brana-1 +25% Gokhem7 +25% Sardinian @ 11.112129
12 50% Gokhem2 +25% Ajvide58 +25% Lezgin @ 11.166694
13 50% Ajvide70 +25% Gokhem7 +25% Lezgin @ 11.336162
14 50% Gokhem2 +25% Ajvide70 +25% Lezgin @ 11.388455
15 50% La_Brana-1 +25% Gokhem7 +25% Yemenite_Jewish @ 11.501444
16 50% Ajvide58 +25% Gokhem7 +25% Yemenite_Jewish @ 11.662854
17 50% Gokhem2 +25% La_Brana-1 +25% Lezgin @ 11.689123
18 50% Ajvide58 +25% Gokhem2 +25% Gokhem7 @ 11.732515
2907 iterations.

Using 4 populations approximation:
1 Ajvide58+Ajvide58+Lezgin+Sardinian @ 9.40638
2 Ajvide58+Ajvide58+Gokhem2+Lezgin @ 9.453305
3 Ajvide58+Gokhem2+La_Brana-1+Lezgin @ 9.532985
4 Ajvide58+Ajvide70+Lezgin+Sardinian @ 9.563875
5 Ajvide58+La_Brana-1+Lezgin+Sardinian @ 9.609901
6 Ajvide58+Ajvide70+Gokhem2+Lezgin @ 9.65735
7 Ajvide70+Gokhem2+La_Brana-1+Lezgin @ 9.700364
8 Ajvide70+La_Brana-1+Lezgin+Sardinian @ 9.721461
9 Ajvide70+Ajvide70+Lezgin+Sardinian @ 9.749995
10 Gokhem2+La_Brana-1+La_Brana-1+Lezgin @ 9.80806
11 Ajvide70+Ajvide70+Gokhem2+Lezgin @ 9.882897
12 La_Brana-1+La_Brana-1+Lezgin+Sardinian @ 10.023686
13 Gokhem7+La_Brana-1+La_Brana-1+Lezgin @ 10.214314
14 Ajvide58+Gokhem7+La_Brana-1+Lezgin @ 10.331284
15 Gokhem2+La_Brana-1+Lezgin+StoraFörvar11 @ 10.506251
16 Ajvide58+Gokhem2+Lezgin+StoraFörvar11 @ 10.516297
17 Ajvide58+Ajvide70+Gokhem7+Sardinian @ 10.555418
18 Ajvide58+Lezgin+Sardinian+StoraFörvar11 @ 10.581743
19 Ajvide70+Gokhem7+La_Brana-1+Lezgin @ 10.610607
20 Ajvide70+Gokhem2+Lezgin+StoraFörvar11 @ 10.6754
21 Ajvide58+Ajvide58+Gokhem7+Lezgin @ 10.680328
22 Ajvide70+Gokhem7+La_Brana-1+Sardinian @ 10.692907
23 Ajvide70+Lezgin+Sardinian+StoraFörvar11 @ 10.693593
24 La_Brana-1+Lezgin+Sardinian+StoraFörvar11 @ 10.710467
25 Ajvide58+Ajvide58+Gokhem7+Sardinian @ 10.714385
26 Ajvide58+Gokhem7+La_Brana-1+Sardinian @ 10.834555
27 Ajvide58+Gokhem7+Sardinian+StoraFörvar11 @ 10.896505
28 Gokhem7+La_Brana-1+Sardinian+StoraFörvar11 @ 10.929019
29 Ajvide70+Ajvide70+Gokhem7+Sardinian @ 10.933953
30 Ajvide58+Ajvide70+Gokhem7+Lezgin @ 10.99893
31 Ajvide58+Gokhem2+Gokhem7+Lezgin @ 11.088463
32 Gokhem7+La_Brana-1+La_Brana-1+Sardinian @ 11.112129
33 Ajvide70+Gokhem7+Sardinian+StoraFörvar11 @ 11.139852
34 Ajvide58+Gokhem2+Gokhem2+Lezgin @ 11.166694
35 Gokhem2+Gokhem7+La_Brana-1+Lezgin @ 11.210003
36 Ajvide58+Gokhem7+Lezgin+Sardinian @ 11.28143
5985 iterations.

Thank you very much for this. What is the difference between Least-squares method and Gaussian method?

**HellLander87** · 07-16-2014, 09:55 PM

Originally Posted by Jaxman

Thank you very much for this. What is the difference between Least-squares method and Gaussian method?

Polako said that the gaussian method is more sensitive to minor admixture.Other than that they calculate distance with different mathematic formulas.

**Black Wolf** · 07-16-2014, 10:04 PM

Originally Posted by HellLander87

Polako said that the gaussian method is more sensitive to minor admixture.Other than that they calculate distance with different mathematic formulas.

So Gaussian is more accurate then I take it.

**Graham** · 07-16-2014, 10:05 PM

Hey can someone run my results through please. Will need to find all the downloads etc.. in the mean time & will check parents.

I cant run gedmtach so don't have noise. But shouldn't make much difference.

42.98% -- North_Sea
28.72% -- Atlantic
10.07% -- Eastern_Euro
07.46% -- Baltic
06.63% -- West_Med
01.87% -- West_Asian
01.07% -- Oceanian

**HellLander87** · 07-16-2014, 10:08 PM

Originally Posted by Jaxman

So Gaussian is more accurate then I take it.

It depends on the ancestry.Sometimes you may want to focus at the big picture and omit the details.

**Graham** · 07-16-2014, 10:15 PM

Got it sorted.

Least-squares method.

Using 1 population approximation:
1 Ajvide70 @ 27.727098
2 Ajvide58 @ 28.028856
3 La_Brana-1 @ 29.857283
4 StoraFörvar11 @ 41.19571
5 Gokhem7 @ 45.3078
6 Gokhem2 @ 47.355673
7 Sardinian @ 60.4981
8 Lezgin @ 61.406494
9 MA-1 @ 66.598458
10 Yemenite_Jewish @ 80.926665
11 Australian_Aboriginal @ 88.625593
12 Ethiopian_Ari_cultivator @ 95.469412
13 Sakilli @ 96.336771
14 Evens @ 97.206414
15 Anzick-1 @ 105.772651
16 Dai @ 106.196084
17 Papuan @ 108.180399
18 Yoruban @ 110.170306
18 iterations.

Using 2 populations approximation:
1 Ajvide70+La_Brana-1 @ 27.514483
2 Ajvide58+Ajvide70 @ 27.673452
3 Ajvide70+Ajvide70 @ 27.727098
4 Ajvide58+Ajvide58 @ 28.028856
5 Ajvide58+La_Brana-1 @ 28.222505
6 Ajvide58+Gokhem7 @ 28.722508
7 Ajvide70+Gokhem7 @ 28.732428
8 Ajvide70+Gokhem2 @ 28.979231
9 Gokhem7+La_Brana-1 @ 29.083481
10 Ajvide58+Gokhem2 @ 29.534293
11 La_Brana-1+La_Brana-1 @ 29.857283
12 Gokhem2+La_Brana-1 @ 31.572975
13 Gokhem7+StoraFörvar11 @ 33.945783
14 Ajvide70+StoraFörvar11 @ 34.046364
15 Ajvide70+Sardinian @ 34.223232
16 Ajvide58+StoraFörvar11 @ 34.452735
17 Gokhem2+StoraFörvar11 @ 34.564112
18 La_Brana-1+StoraFörvar11 @ 34.581978
171 iterations.

Using 3 populations approximation:
1 50% Ajvide70 +25% Gokhem7 +25% La_Brana-1 @ 25.19385
2 50% Ajvide70 +25% Ajvide70 +25% Gokhem2 @ 25.255175
3 50% Ajvide70 +25% Ajvide58 +25% Gokhem2 @ 25.344712
4 50% Ajvide70 +25% Ajvide58 +25% Gokhem7 @ 25.438753
5 50% Ajvide58 +25% Ajvide70 +25% Gokhem7 @ 25.47726
6 50% Ajvide70 +25% Ajvide70 +25% Gokhem7 @ 25.511992
7 50% Ajvide58 +25% Ajvide70 +25% Gokhem2 @ 25.545591
8 50% Ajvide58 +25% Gokhem7 +25% La_Brana-1 @ 25.576876
9 50% La_Brana-1 +25% Ajvide70 +25% Gokhem7 @ 25.595651
10 50% Ajvide70 +25% Gokhem2 +25% La_Brana-1 @ 25.6102
11 50% Ajvide58 +25% Ajvide58 +25% Gokhem7 @ 25.627009
12 50% Ajvide58 +25% Ajvide58 +25% Gokhem2 @ 25.855216
13 50% La_Brana-1 +25% Ajvide58 +25% Gokhem7 @ 25.934981
14 50% Ajvide58 +25% Gokhem2 +25% La_Brana-1 @ 26.303102
15 50% Ajvide70 +25% Ajvide70 +25% Sardinian @ 26.631123
16 50% La_Brana-1 +25% Ajvide70 +25% Gokhem2 @ 26.654826
17 50% La_Brana-1 +25% Gokhem7 +25% La_Brana-1 @ 26.684894
18 50% Ajvide70 +25% Ajvide58 +25% Sardinian @ 26.750846
2907 iterations.

Using 4 populations approximation:
1 Ajvide70+Ajvide70+Gokhem7+La_Brana-1 @ 25.19385
2 Ajvide70+Ajvide70+Ajvide70+Gokhem2 @ 25.255175
3 Ajvide58+Ajvide70+Gokhem7+La_Brana-1 @ 25.329967
4 Ajvide58+Ajvide70+Ajvide70+Gokhem2 @ 25.344712
5 Ajvide58+Ajvide70+Ajvide70+Gokhem7 @ 25.438753
6 Ajvide58+Ajvide58+Ajvide70+Gokhem7 @ 25.47726
7 Ajvide70+Ajvide70+Ajvide70+Gokhem7 @ 25.511992
8 Ajvide58+Ajvide58+Ajvide70+Gokhem2 @ 25.545591
9 Ajvide58+Ajvide58+Gokhem7+La_Brana-1 @ 25.576876
10 Ajvide70+Gokhem7+La_Brana-1+La_Brana-1 @ 25.595651
11 Ajvide70+Ajvide70+Gokhem2+La_Brana-1 @ 25.6102
12 Ajvide58+Ajvide58+Ajvide58+Gokhem7 @ 25.627009
13 Ajvide58+Ajvide58+Ajvide58+Gokhem2 @ 25.855216
14 Ajvide58+Ajvide70+Gokhem2+La_Brana-1 @ 25.904086
15 Ajvide58+Gokhem7+La_Brana-1+La_Brana-1 @ 25.934981
16 Ajvide58+Ajvide58+Gokhem2+La_Brana-1 @ 26.303102
17 Ajvide70+Ajvide70+Ajvide70+Sardinian @ 26.631123
18 Ajvide70+Gokhem2+La_Brana-1+La_Brana-1 @ 26.654826
19 Gokhem7+La_Brana-1+La_Brana-1+La_Brana-1 @ 26.684894
20 Ajvide58+Ajvide70+Ajvide70+Sardinian @ 26.750846
21 Ajvide58+Ajvide58+Ajvide70+Sardinian @ 26.97575
22 Ajvide70+Ajvide70+La_Brana-1+Sardinian @ 27.027888
23 Ajvide58+Gokhem2+La_Brana-1+La_Brana-1 @ 27.133518
24 Ajvide70+Ajvide70+Ajvide70+La_Brana-1 @ 27.288274
25 Ajvide58+Ajvide58+Ajvide58+Sardinian @ 27.303233
26 Ajvide58+Ajvide70+La_Brana-1+Sardinian @ 27.340566
27 Ajvide58+Ajvide70+Ajvide70+La_Brana-1 @ 27.403039
28 Ajvide70+Ajvide70+La_Brana-1+La_Brana-1 @ 27.514483
29 Ajvide58+Ajvide58+Ajvide70+La_Brana-1 @ 27.620562
30 Ajvide58+Ajvide70+Ajvide70+Ajvide70 @ 27.648867
31 Ajvide58+Ajvide58+Ajvide70+Ajvide70 @ 27.673452
32 Ajvide70+Ajvide70+Ajvide70+Ajvide70 @ 27.727098
33 Ajvide58+Ajvide58+La_Brana-1+Sardinian @ 27.752452
34 Ajvide58+Ajvide58+Ajvide58+Ajvide70 @ 27.800581
35 Ajvide58+Ajvide70+La_Brana-1+La_Brana-1 @ 27.819637
36 Ajvide58+Ajvide58+Ajvide58+La_Brana-1 @ 27.938441
5985 iterations.

Gaussian method.
Noise dispersion set to 0.33296

Using 1 population approximation:
1 Ajvide58 @ 13.103827
2 La_Brana-1 @ 18.450139
3 Ajvide70 @ 18.924507
4 Lezgin @ 21.364164
5 StoraFörvar11 @ 21.487481
6 Gokhem7 @ 25.560742
7 Sardinian @ 26.331852
8 Gokhem2 @ 27.690204
9 Evens @ 63.955724
10 Sakilli @ 64.353423
11 Ethiopian_Ari_cultivator @ 73.01475
12 Yemenite_Jewish @ 73.651619
13 MA-1 @ 74.035762
14 Dai @ 95.452639
15 Yoruban @ 121.013781
16 Papuan @ 123.212413
17 Australian_Aboriginal @ 125.961678
18 Anzick-1 @ 126.699981
18 iterations.

Using 2 populations approximation:
1 Gokhem7+La_Brana-1 @ 9.560638
2 Ajvide58+Gokhem7 @ 10.121326
3 Ajvide70+Gokhem7 @ 10.704271
4 Ajvide58+Gokhem2 @ 11.016285
5 Ajvide58+Sardinian @ 11.219704
6 Ajvide70+Gokhem2 @ 11.263743
7 Ajvide70+Sardinian @ 11.346701
8 Gokhem2+La_Brana-1 @ 11.375262
9 La_Brana-1+Sardinian @ 11.919004
10 Gokhem7+StoraFörvar11 @ 12.480814
11 Gokhem2+StoraFörvar11 @ 12.504684
12 Sardinian+StoraFörvar11 @ 12.962451
13 Ajvide58+Ajvide58 @ 13.103827
14 Ajvide58+La_Brana-1 @ 14.454137
15 Gokhem7+Lezgin @ 14.737601
16 Ajvide58+Ajvide70 @ 14.892528
17 Gokhem2+Lezgin @ 14.956495
18 Ajvide58+Lezgin @ 15.190361
171 iterations.

Using 3 populations approximation:
1 50% La_Brana-1 +25% Gokhem7 +25% La_Brana-1 @ 8.863443
2 50% La_Brana-1 +25% Ajvide58 +25% Gokhem7 @ 8.953197
3 50% Ajvide58 +25% Gokhem7 +25% La_Brana-1 @ 9.103996
4 50% La_Brana-1 +25% Ajvide70 +25% Gokhem7 @ 9.190851
5 50% Ajvide58 +25% Ajvide58 +25% Gokhem7 @ 9.380569
6 50% Ajvide70 +25% Gokhem7 +25% La_Brana-1 @ 9.505975
7 50% Gokhem7 +25% La_Brana-1 +25% La_Brana-1 @ 9.560638
8 50% Ajvide58 +25% Ajvide70 +25% Gokhem7 @ 9.663266
9 50% Gokhem7 +25% Ajvide58 +25% La_Brana-1 @ 9.792736
10 50% La_Brana-1 +25% Gokhem7 +25% StoraFörvar11 @ 9.833686
11 50% Ajvide70 +25% Ajvide58 +25% Gokhem7 @ 9.84595
12 50% Ajvide58 +25% Ajvide58 +25% Sardinian @ 9.924944
13 50% Ajvide58 +25% La_Brana-1 +25% Sardinian @ 9.940639
14 50% La_Brana-1 +25% Gokhem2 +25% Gokhem7 @ 9.980971
15 50% Ajvide58 +25% Gokhem2 +25% Gokhem7 @ 10.020438
16 50% Ajvide70 +25% Ajvide70 +25% Gokhem7 @ 10.024741
17 50% La_Brana-1 +25% Ajvide58 +25% Sardinian @ 10.051074
18 50% Ajvide58 +25% Ajvide70 +25% Sardinian @ 10.100561
2907 iterations.

Using 4 populations approximation:
1 Gokhem7+La_Brana-1+La_Brana-1+La_Brana-1 @ 8.863443
2 Ajvide58+Gokhem7+La_Brana-1+La_Brana-1 @ 8.953197
3 Ajvide58+Ajvide58+Gokhem7+La_Brana-1 @ 9.103996
4 Ajvide70+Gokhem7+La_Brana-1+La_Brana-1 @ 9.190851
5 Ajvide58+Ajvide70+Gokhem7+La_Brana-1 @ 9.358741
6 Ajvide58+Ajvide58+Ajvide58+Gokhem7 @ 9.380569
7 Ajvide70+Ajvide70+Gokhem7+La_Brana-1 @ 9.505975
8 Gokhem7+Gokhem7+La_Brana-1+La_Brana-1 @ 9.560638
9 Ajvide58+Ajvide58+Ajvide70+Gokhem7 @ 9.663266
10 Ajvide58+Gokhem7+Gokhem7+La_Brana-1 @ 9.792736
11 Gokhem7+La_Brana-1+La_Brana-1+StoraFörvar11 @ 9.833686
12 Ajvide58+Ajvide70+Ajvide70+Gokhem7 @ 9.84595
13 Ajvide58+Ajvide58+Ajvide58+Sardinian @ 9.924944
14 Ajvide58+Ajvide58+La_Brana-1+Sardinian @ 9.940639
15 Ajvide58+Gokhem2+Gokhem7+La_Brana-1 @ 9.970682
16 Gokhem2+Gokhem7+La_Brana-1+La_Brana-1 @ 9.980971
17 Ajvide58+Ajvide58+Gokhem2+Gokhem7 @ 10.020438
18 Ajvide70+Ajvide70+Ajvide70+Gokhem7 @ 10.024741
19 Ajvide58+La_Brana-1+La_Brana-1+Sardinian @ 10.051074
20 Ajvide58+Gokhem7+La_Brana-1+StoraFörvar11 @ 10.062323
21 Ajvide58+Ajvide70+La_Brana-1+Sardinian @ 10.089543
22 Ajvide58+Ajvide58+Ajvide70+Sardinian @ 10.100561
23 Ajvide70+Gokhem7+Gokhem7+La_Brana-1 @ 10.104101
24 Ajvide58+Ajvide58+Gokhem7+Gokhem7 @ 10.121326
25 Ajvide70+Ajvide70+La_Brana-1+Sardinian @ 10.14394
26 Ajvide70+La_Brana-1+La_Brana-1+Sardinian @ 10.177182
27 Ajvide58+Ajvide70+Ajvide70+Sardinian @ 10.182825
28 Ajvide70+Gokhem7+La_Brana-1+StoraFörvar11 @ 10.194206
29 Ajvide70+Gokhem2+Gokhem7+La_Brana-1 @ 10.201178
30 La_Brana-1+La_Brana-1+La_Brana-1+Sardinian @ 10.217306
31 Ajvide58+Ajvide58+Gokhem2+La_Brana-1 @ 10.2272
32 Ajvide58+Ajvide58+Ajvide58+Gokhem2 @ 10.253347
33 Ajvide70+Ajvide70+Ajvide70+Sardinian @ 10.260956
34 Ajvide58+Ajvide70+Gokhem2+Gokhem7 @ 10.265102
35 Ajvide58+Gokhem2+La_Brana-1+La_Brana-1 @ 10.285913
36 Ajvide58+Ajvide58+Gokhem7+Sardinian @ 10.370391
5985 iterations.

**Äijä** · 07-16-2014, 10:15 PM

Can someone help Davidski?

By the way, I'm short on bandwidth this month, so here's a deal. If you guys can download the Bronze Age Dane and the two Thracians, then use the SRA Toolkit to turn the SRA files into bam files, zip these up and upload them somewhere, then I can download them.

http://www.ncbi.nlm.nih.gov/sites/books/NBK158900

The problem is that I don't want to use up several gigs just to get a couple of samples with a few thousand SNPs.
July 15, 2014 at 9:31 PM

http://eurogenes.blogspot.fi/2014/07...1-related.html