Post your Eurogenes EUtest V2 K15 results

My wife's 23andme results aren't all done yet, but here is her K15 score:


North_Sea 43.55%
Atlantic 20.58%
Baltic 10.41%
Eastern_Euro 10.06%
West_Med 8.59%
West_Asian 1.70%
East_Med 1.87%
Red_Sea -
South_Asian 1.62%
Southeast_Asian -
Siberian -
Amerindian 1.11%
Oceanian 0.51%
Northeast_African -
Sub-Saharan -



1 West_German + West_Norwegian + West_Norwegian + West_Norwegian @ 5.304
2 West_Norwegian + West_Norwegian + West_Norwegian + West_Norwegian @ 5.383
3 Norwegian + West_Norwegian + West_Norwegian + West_Norwegian @ 5.499
4 Norwegian + West_German + West_Norwegian + West_Norwegian @ 5.683
5 Norwegian + Norwegian + West_Norwegian + West_Norwegian @ 5.725
6 Swedish + West_Norwegian + West_Norwegian + West_Norwegian @ 5.781
7 Swedish + West_German + West_Norwegian + West_Norwegian @ 5.952
8 Norwegian + Swedish + West_Norwegian + West_Norwegian @ 6.029
9 Norwegian + Norwegian + Norwegian + West_Norwegian @ 6.047
10 Orcadian + West_Norwegian + West_Norwegian + West_Norwegian @ 6.082

My V2 K15 Oracle-4 results:
Using 4 populations approximation:
1 French + Orcadian + Orcadian + West_Norwegian @ 2.031
2 French + Norwegian + Orcadian + Orcadian @ 2.058
3 Orcadian + Orcadian + Southeast_English + West_German @ 2.087
4 Orcadian + Orcadian + Southwest_English + West_German @ 2.113
5 French + Orcadian + West_Norwegian + West_Scottish @ 2.150
6 French + Orcadian + Southeast_English + West_Norwegian @ 2.199
7 Orcadian + Spanish_Cataluna + West_Norwegian + West_Norwegian @ 2.210
8 Danish + French + Orcadian + West_Norwegian @ 2.238
9 Orcadian + Southwest_English + West_German + West_Scottish @ 2.250
10 Danish + Orcadian + Southwest_English + West_German @ 2.312

Oracle-X calculator 1:

Admix Results:
# Population Percent
1 North_Sea 20.88
2 Atlantic 18.16
3 Baltic 10.04
4 Eastern_Euro 3.72
5 West_Med 13.95
6 West_Asian 11.72
7 East_Med 17.46
8 Red_Sea 2.49
9 South_Asian 0.35
10 Southeast_Asian 0.00
11 Siberian 0.64
12 Amerindian 0.00
13 Oceanian 0.00
14 Northeast_African 0.60
15 Sub-Saharan 0.00
Pct. Calc. Option 1
1 West_German 38.01%
2 Tuscan 32.89%
3 Greek_Thessaly 11.88%
4 Lebanese_Druze 7.35%
5 North_Ossetian 5.54%
6 Bulgarian 4.33%
7 Greek 0.00%
8 Tabassaran 0.00%
9 Finnish 0.00%
10 Romanian 0.00%

First four 1/4 population estimations from Oracle-4, opt. 2:

1 North_German + South_Italian + South_Italian + West_German @ 2.940
2 Central_Greek + South_Italian + West_German + West_German @ 3.062
3 South_Italian + South_Italian + West_German + West_German @ 3.156
4 Greek_Thessaly + Greek_Thessaly + Italian_Abruzzo + Orcadian @ 3.189

North_Sea 16.57%
Atlantic 23.76%
Baltic 11.11%
Eastern_Euro 6.81%
West_Med 11.12%
West_Asian 11.76%
East_Med 11.45%
Red_Sea 4.45%
South_Asian 0.63%
Southeast_Asian 0.39%
Siberian 1.12%
Amerindian -
Oceanian 0.07%
Northeast_African 0.78%
Sub-Saharan


Admix Results (sorted):

# Population Percent
1 Atlantic 24.21
2 North_Sea 16.88
3 West_Asian 11.98
4 East_Med 11.66
5 West_Med 11.33
6 Baltic 11.32
7 Eastern_Euro 6.94
8 Red_Sea 4.54
9 Siberian 1.14


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

Least-squares method.

Using 1 population approximation:
1 Romanian @ 10.686
2 Serbian @ 10.878
3 Bulgarian @ 12.278
4 Austrian @ 13.253
5 North_Italian @ 13.404
6 Tuscan @ 14.955
7 French @ 15.583
8 Spanish_Cataluna @ 16.145
9 Spanish_Castilla_Y_Leon @ 16.416
10 Spanish_Extremadura @ 16.438

Using 2 populations approximation:
1 50% Austrian +50% Tuscan @ 6.529
2 50% Austrian +50% Italian_Abruzzo @ 6.718
3 50% East_German +50% Italian_Abruzzo @ 6.759
4 50% Greek +50% North_German @ 6.943
5 50% Greek +50% South_Dutch @ 6.970
6 50% Italian_Abruzzo +50% North_German @ 7.025
7 50% Central_Greek +50% North_German @ 7.356
8 50% Italian_Abruzzo +50% South_Dutch @ 7.388
9 50% East_Sicilian +50% North_German @ 7.440
10 50% Bulgarian +50% French @ 7.494
21528 iterations.



Using 3 populations approximation:
1 50% East_German +25% French_Basque +25% Georgian_Jewish @ 3.785
2 50% Austrian +25% French_Basque +25% Georgian_Jewish @ 3.858
3 50% Austrian +25% French_Basque +25% Turkish @ 4.054
4 50% Austrian +25% Armenian +25% French_Basque @ 4.138
5 50% East_German +25% Assyrian +25% French_Basque @ 4.163
6 50% Austrian +25% Spanish_Aragon +25% Turkish @ 4.203
7 50% Austrian +25% Azeri +25% French_Basque @ 4.329
8 50% Austrian +25% Spanish_Castilla_La_Mancha +25% Turkish @ 4.435
9 50% Austrian +25% Assyrian +25% French_Basque @ 4.442
Gedmatch.Com

Eurogenes EUtest V2 K15 4-Ancestors Oracle

This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.

Revised: Dec 6, 2012

15 components mode.
Component threshold auto-set to 0.810%. Admix results below that value will not be considered.


Kit Number:

Admix Results (sorted):

# Population Percent
1 Atlantic 24.21
2 North_Sea 16.88
3 West_Asian 11.98
4 East_Med 11.66
5 West_Med 11.33
6 Baltic 11.32
7 Eastern_Euro 6.94
8 Red_Sea 4.54
9 Siberian 1.14


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

Least-squares method.

Using 1 population approximation:
1 Romanian @ 10.686
2 Serbian @ 10.878
3 Bulgarian @ 12.278
4 Austrian @ 13.253
5 North_Italian @ 13.404
6 Tuscan @ 14.955
7 French @ 15.583
8 Spanish_Cataluna @ 16.145
9 Spanish_Castilla_Y_Leon @ 16.416
10 Spanish_Extremadura @ 16.438
207 iterations.



Using 2 populations approximation:
1 50% Austrian +50% Tuscan @ 6.529
2 50% Austrian +50% Italian_Abruzzo @ 6.718
3 50% East_German +50% Italian_Abruzzo @ 6.759
4 50% Greek +50% North_German @ 6.943
5 50% Greek +50% South_Dutch @ 6.970
6 50% Italian_Abruzzo +50% North_German @ 7.025
7 50% Central_Greek +50% North_German @ 7.356
8 50% Italian_Abruzzo +50% South_Dutch @ 7.388
9 50% East_Sicilian +50% North_German @ 7.440
10 50% Bulgarian +50% French @ 7.494
21528 iterations.



Using 3 populations approximation:
1 50% East_German +25% French_Basque +25% Georgian_Jewish @ 3.785
2 50% Austrian +25% French_Basque +25% Georgian_Jewish @ 3.858
3 50% Austrian +25% French_Basque +25% Turkish @ 4.054
4 50% Austrian +25% Armenian +25% French_Basque @ 4.138
5 50% East_German +25% Assyrian +25% French_Basque @ 4.163
6 50% Austrian +25% Spanish_Aragon +25% Turkish @ 4.203
7 50% Austrian +25% Azeri +25% French_Basque @ 4.329
8 50% Austrian +25% Spanish_Castilla_La_Mancha +25% Turkish @ 4.435
9 50% Austrian +25% Assyrian +25% French_Basque @ 4.442
10 50% East_German +25% French_Basque +25% Iranian_Jewish @ 4.466
1301911 iterations.



Using 4 populations approximation:
1 Croatian + French_Basque + Georgian_Jewish + North_German @ 3.024
2 French + French_Basque + Georgian_Jewish + Russian_Smolensk @ 3.278
3 Austrian + East_German + French_Basque + Georgian_Jewish @ 3.279
4 French_Basque + Georgian_Jewish + Russian_Smolensk + South_Dutch @ 3.282
5 French_Basque + Georgian_Jewish + South_Dutch + South_Polish @ 3.336
6 Croatian + French_Basque + Georgian_Jewish + Irish @ 3.343
7 Belorussian + French + French_Basque + Georgian_Jewish @ 3.364
8 Austrian + French_Basque + Georgian_Jewish + North_German @ 3.410
9 French_Basque + Georgian_Jewish + Polish + South_Dutch @ 3.446
10 French + French_Basque + Georgian_Jewish + Polish @ 3.489
11 Assyrian + Croatian + French_Basque + North_German @ 3.516
12 French_Basque + Georgian_Jewish + Russian_Smolensk + Southwest_English @ 3.531
13 Croatian + French_Basque + Georgian_Jewish + North_Dutch @ 3.540
14 Croatian + French_Basque + Georgian_Jewish + West_Scottish @ 3.542
15 French_Basque + Georgian_Jewish + Russian_Smolensk + Southeast_English @ 3.558
16 Croatian + Danish + French_Basque + Georgian_Jewish @ 3.584
17 French_Basque + Georgian_Jewish + South_Dutch + Ukrainian_Lviv @ 3.590
18 French_Basque + Georgian_Jewish + North_German + South_Polish @ 3.592
19 Belorussian + French_Basque + Georgian_Jewish + South_Dutch @ 3.604
20 Austrian + French_Basque + Georgian_Jewish + Southwest_Finnish @ 3.605

5476150 iterations.

Done.

Elapsed time 4.2190 seconds.

I am German on my moms side, dad's family paternal is Jewish from Romania and his mother was from some part of Russia likely now Lithuania.

Pct. Calc. Option 1

1 French_Basque 23.80%
2 Bulgarian 17.53%
3 Austrian 15.89%
4 Ossetian 13.63%
5 West_Scottish 12.34%
6 Saudi 10.04%
7 La_Brana-1 3.62%
8 Russian_Smolensk 2.76%
9 Romanian 0.31%
10 Ethiopian_Amhara 0.08%

Pct. Calc. Option 2

0 Unable to determine 0.01%
1 Romanian 47.51%
2 French_Basque 17.96%
3 West_Scottish 9.43%
4 Ossetian 8.76%
5 Irish 4.53%
6 Saudi 3.67%
7 Ethiopian_Amhara 2.92%
8 Nogay 2.07%
9 North_German 2.04%
10 Yemenite_Jewish 1.08%

Updated Eurogenes EUtest V2 K15 Oracle results:

Single Population Sharing:
# Population (source) Distance
1 Spanish_Murcia 3.72
2 Portuguese 3.96
3 Spanish_Extremadura 4.16
4 Spanish_Castilla_Y_Leon 5.22
5 Spanish_Cataluna 5.27
6 Spanish_Galicia 5.71
7 Spanish_Castilla_La_Mancha 7.1
8 Spanish_Valencia 7.23
9 Spanish_Cantabria 7.51
10 Spanish_Andalucia 7.87
11 Spanish_Aragon 8.26
12 North_Italian 9.83
13 Southwest_French 10.2
14 French 10.84
15 Tuscan 15.27
16 South_Dutch 15.73
17 West_German 17.63
18 French_Basque 18.06
19 Southwest_English 18.4
20 Southeast_English 19.61

Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 56.5% Spanish_Murcia + 43.5% Portuguese @ 3.34
2 74.6% Spanish_Murcia + 25.4% Spanish_Galicia @ 3.37
3 95.3% Spanish_Murcia + 4.7% West_Norwegian @ 3.49
4 93.3% Spanish_Murcia + 6.7% West_German @ 3.5
5 94.8% Spanish_Murcia + 5.2% Orcadian @ 3.51
6 95.9% Spanish_Murcia + 4.1% Norwegian @ 3.55
7 94.7% Spanish_Murcia + 5.3% Southwest_English @ 3.58
8 91.2% Spanish_Murcia + 8.8% French @ 3.58
9 96.6% Spanish_Murcia + 3.4% Swedish @ 3.6
10 95.5% Spanish_Murcia + 4.5% Southeast_English @ 3.6
11 96.1% Spanish_Murcia + 3.9% North_Dutch @ 3.6
12 96.1% Spanish_Murcia + 3.9% West_Scottish @ 3.61
13 96.5% Spanish_Murcia + 3.5% Danish @ 3.63
14 96.5% Spanish_Murcia + 3.5% Irish @ 3.64
15 97.5% Spanish_Murcia + 2.5% North_Swedish @ 3.65
16 96.9% Spanish_Murcia + 3.1% South_Dutch @ 3.68
17 79.9% Spanish_Murcia + 20.1% Spanish_Extremadura @ 3.68
18 99.4% Spanish_Murcia + 0.6% Ethiopian_Tigray @ 3.69
19 99.4% Spanish_Murcia + 0.6% Ethiopian_Amhara @ 3.69
20 99.5% Spanish_Murcia + 0.5% Ethiopian_Wolayta @ 3.7

Eurogenes EUtest V2 K15 4-Ancestors Oracle

Using 1 population approximation:
1 Spanish_Murcia @ 4.723
2 Portuguese @ 5.236
3 Spanish_Extremadura @ 5.293
4 Spanish_Cataluna @ 6.125
5 Spanish_Castilla_Y_Leon @ 6.350
6 Spanish_Galicia @ 7.088
7 Spanish_Castilla_La_Mancha @ 8.270
8 Spanish_Valencia @ 8.360
9 Spanish_Cantabria @ 8.719
10 Spanish_Andalucia @ 9.353

Using 2 populations approximation:
1 50% Portuguese +50% Spanish_Murcia @ 4.487
2 50% Spanish_Murcia +50% Spanish_Murcia @ 4.723
3 50% Spanish_Extremadura +50% Spanish_Murcia @ 4.837
4 50% Spanish_Galicia +50% Spanish_Murcia @ 4.838
5 50% Portuguese +50% Spanish_Extremadura @ 5.027
6 50% Spanish_Cataluna +50% Spanish_Murcia @ 5.088
7 50% Portuguese +50% Portuguese @ 5.236
8 50% Spanish_Cataluna +50% Spanish_Extremadura @ 5.253
9 50% Spanish_Extremadura +50% Spanish_Extremadura @ 5.293
10 50% Spanish_Castilla_Y_Leon +50% Spanish_Murcia @ 5.306

Using 3 populations approximation:
1 50% Spanish_Murcia +25% Spanish_Galicia +25% Spanish_Murcia @ 4.431
2 50% Spanish_Murcia +25% Portuguese +25% Spanish_Murcia @ 4.477
3 50% Portuguese +25% Spanish_Murcia +25% Spanish_Murcia @ 4.487
4 50% Spanish_Murcia +25% Portuguese +25% Portuguese @ 4.487
5 50% Spanish_Murcia +25% Portuguese +25% Spanish_Extremadura @ 4.599
6 50% Spanish_Murcia +25% Portuguese +25% Spanish_Galicia @ 4.601
7 50% Spanish_Murcia +25% Spanish_Extremadura +25% Spanish_Galicia @ 4.626
8 50% Spanish_Murcia +25% Portuguese +25% Spanish_Cataluna @ 4.684
9 50% Portuguese +25% Spanish_Extremadura +25% Spanish_Murcia @ 4.718
10 50% Spanish_Murcia +25% Spanish_Murcia +25% Spanish_Murcia @ 4.723

Using 4 populations approximation:
1 Spanish_Galicia + Spanish_Murcia + Spanish_Murcia + Spanish_Murcia @ 4.431
2 Portuguese + Spanish_Murcia + Spanish_Murcia + Spanish_Murcia @ 4.477
3 Portuguese + Portuguese + Spanish_Murcia + Spanish_Murcia @ 4.487
4 Portuguese + Spanish_Extremadura + Spanish_Murcia + Spanish_Murcia @ 4.599
5 Portuguese + Spanish_Galicia + Spanish_Murcia + Spanish_Murcia @ 4.601
6 Spanish_Extremadura + Spanish_Galicia + Spanish_Murcia + Spanish_Murcia @ 4.626
7 Portuguese + Spanish_Cataluna + Spanish_Murcia + Spanish_Murcia @ 4.684
8 Portuguese + Portuguese + Spanish_Extremadura + Spanish_Murcia @ 4.718
9 Spanish_Murcia + Spanish_Murcia + Spanish_Murcia + Spanish_Murcia @ 4.723
10 Spanish_Extremadura + Spanish_Murcia + Spanish_Murcia + Spanish_Murcia @ 4.734
11 Spanish_Cataluna + Spanish_Galicia + Spanish_Murcia + Spanish_Murcia @ 4.738
12 Portuguese + Portuguese + Portuguese + Spanish_Murcia @ 4.754
13 Portuguese + Spanish_Castilla_Y_Leon + Spanish_Murcia + Spanish_Murcia @ 4.803
14 Spanish_Cataluna + Spanish_Murcia + Spanish_Murcia + Spanish_Murcia @ 4.805
15 Portuguese + Portuguese + Spanish_Cataluna + Spanish_Murcia @ 4.811
16 Portuguese + Spanish_Extremadura + Spanish_Extremadura + Spanish_Murcia @ 4.812
17 Portuguese + Spanish_Cataluna + Spanish_Extremadura + Spanish_Murcia @ 4.817
18 Spanish_Cataluna + Spanish_Extremadura + Spanish_Murcia + Spanish_Murcia @ 4.832
19 Spanish_Extremadura + Spanish_Extremadura + Spanish_Murcia + Spanish_Murcia @ 4.837
20 Spanish_Galicia + Spanish_Galicia + Spanish_Murcia + Spanish_Murcia @ 4.838

Eurogenes EUtest V2 K15 Oracle-x Population Fitting

Pct. Calc. Option 1
1 Spanish_Murcia 64.81%
2 Portuguese 28.00%
3 Orcadian 5.08%
4 Libyan_Jewish 1.56%
5 Algerian 0.50%
6 Spanish_Galicia 0.03%
7 Mozabite_Berber 0.02%
8 Spanish_Extremadura 0.00%
9 West_German 0.00%
10 Moroccan 0.00%

Pct. Calc. Option 2
0 Unable to determine 0.01%
1 Spanish_Murcia 77.39%
2 Portuguese 17.73%
3 West_German 1.94%
4 Spanish_Galicia 1.52%
5 West_Norwegian 0.90%
6 Algerian 0.30%
7 Moroccan 0.11%
8 Spanish_Extremadura 0.11%
9 Spanish_Aragon 0.00%
10 Spanish_Castilla_La_Mancha 0.00%

Quote:

---

Originally Posted by Alex Delarge

Here's my K13 with the new populations. Not much change:

http://oi60.tinypic.com/3492s88.jpg

---

Could you post your new k15 please?

Quote:

---

Originally Posted by Atlantic Islander

Could you post your new k15 please?

---

Sure, here it is:

Quote:

---

1 Spanish_Castilla_Y_Leon 3.13
2 Spanish_Murcia 3.64
3 Spanish_Cataluna 3.72
4 Spanish_Extremadura 3.84
5 Portuguese 4.28
6 Spanish_Valencia 5.01
7 Spanish_Andalucia 5.27
8 Spanish_Castilla_La_Mancha 5.32
9 Spanish_Cantabria 6.3
10 Spanish_Galicia 6.33
11 Spanish_Aragon 7.23
12 Southwest_French 7.96
13 North_Italian 7.96
14 French 10.42
15 Tuscan 13.7
16 South_Dutch 14.69
17 French_Basque 16.88
18 Serbian 17.34
19 West_German 17.57
20 Austrian 18

# Primary Population (source) Secondary Population (source) Distance
1 95.9% Spanish_Castilla_Y_Leon + 4.1% Abhkasian @ 2.06
2 95.6% Spanish_Castilla_Y_Leon + 4.4% Georgian @ 2.07
3 95.3% Spanish_Castilla_Y_Leon + 4.7% Adygei @ 2.08
4 95.1% Spanish_Castilla_Y_Leon + 4.9% Lezgin @ 2.08
5 94.8% Spanish_Castilla_Y_Leon + 5.2% Kumyk @ 2.09
6 95.1% Spanish_Castilla_Y_Leon + 4.9% Kabardin @ 2.11
7 95.2% Spanish_Castilla_Y_Leon + 4.8% Balkar @ 2.12
8 95.3% Spanish_Castilla_Y_Leon + 4.7% Chechen @ 2.13
9 95.1% Spanish_Castilla_Y_Leon + 4.9% Kurdish @ 2.13
10 95.4% Spanish_Castilla_Y_Leon + 4.6% Ossetian @ 2.13
11 95.5% Spanish_Castilla_Y_Leon + 4.5% North_Ossetian @ 2.14
12 94.7% Spanish_Castilla_Y_Leon + 5.3% Azeri @ 2.15
13 95.2% Spanish_Castilla_Y_Leon + 4.8% Armenian @ 2.15
14 95.2% Spanish_Castilla_Y_Leon + 4.8% Tabassaran @ 2.16
15 94.3% Spanish_Castilla_Y_Leon + 5.7% Turkish @ 2.16
16 95.3% Spanish_Castilla_Y_Leon + 4.7% Iranian @ 2.19
17 95.4% Spanish_Castilla_Y_Leon + 4.6% Georgian_Jewish @ 2.22
18 95.5% Spanish_Castilla_Y_Leon + 4.5% Assyrian @ 2.3
19 95.1% Spanish_Castilla_Y_Leon + 4.9% Turkmen @ 2.32
20 90.5% Spanish_Castilla_Y_Leon + 9.5% Italian_Abruzzo @ 2.34


Least-squares method.

Using 1 population approximation:
1 Spanish_Castilla_Y_Leon @ 3.263
2 Spanish_Murcia @ 3.810
3 Spanish_Cataluna @ 3.853
4 Spanish_Extremadura @ 4.066
5 Portuguese @ 4.869
6 Spanish_Valencia @ 5.385
7 Spanish_Castilla_La_Mancha @ 5.709
8 Spanish_Andalucia @ 5.802
9 Spanish_Cantabria @ 6.979
10 Spanish_Galicia @ 7.220
207 iterations.



Using 2 populations approximation:
1 50% Spanish_Castilla_Y_Leon +50% Spanish_Murcia @ 3.069
2 50% Spanish_Castilla_Y_Leon +50% Spanish_Extremadura @ 3.181
3 50% Spanish_Castilla_Y_Leon +50% Spanish_Cataluna @ 3.214
4 50% Spanish_Cataluna +50% Spanish_Extremadura @ 3.242
5 50% Spanish_Castilla_Y_Leon +50% Spanish_Castilla_Y_Leon @ 3.263
6 50% Spanish_Cataluna +50% Spanish_Murcia @ 3.265
7 50% Spanish_Andalucia +50% Spanish_Cataluna @ 3.292
8 50% Portuguese +50% Spanish_Valencia @ 3.342
9 50% Spanish_Andalucia +50% Spanish_Castilla_Y_Leon @ 3.415
10 50% Portuguese +50% Spanish_Andalucia @ 3.476
21528 iterations.



Using 3 populations approximation:
1 50% Spanish_Andalucia +25% French +25% Spanish_Castilla_Y_Leon @ 2.346
2 50% Spanish_Andalucia +25% French +25% Spanish_Murcia @ 2.436
3 50% Spanish_Andalucia +25% Spanish_Andalucia +25% West_German @ 2.439
4 50% Spanish_Andalucia +25% French +25% Spanish_Extremadura @ 2.493
5 50% Spanish_Castilla_Y_Leon +25% North_Italian +25% Spanish_Castilla_La_Mancha @ 2.508
6 50% Spanish_Castilla_Y_Leon +25% North_Italian +25% Spanish_Castilla_Y_Leon @ 2.600
7 50% Spanish_Andalucia +25% French +25% Portuguese @ 2.614
8 50% Spanish_Castilla_Y_Leon +25% North_Italian +25% Spanish_Cataluna @ 2.617
9 50% Spanish_Andalucia +25% French +25% Spanish_Andalucia @ 2.627
10 50% Spanish_Castilla_Y_Leon +25% North_Italian +25% Spanish_Valencia @ 2.635
1037776 iterations.



Using 4 populations approximation:
1 French + Spanish_Andalucia + Spanish_Andalucia + Spanish_Castilla_Y_Leon @ 2.346
2 French + French_Basque + Spanish_Castilla_Y_Leon + West_Sicilian @ 2.422
3 French + Spanish_Andalucia + Spanish_Andalucia + Spanish_Murcia @ 2.436
4 Spanish_Andalucia + Spanish_Andalucia + Spanish_Andalucia + West_German @ 2.439
5 French + Spanish_Andalucia + Spanish_Andalucia + Spanish_Extremadura @ 2.493
6 East_Sicilian + French_Basque + Southwest_English + Spanish_Andalucia @ 2.506
7 North_Italian + Spanish_Castilla_La_Mancha + Spanish_Castilla_Y_Leon + Spanish_Castilla_Y_Leon @ 2.508
8 French + French_Basque + Spanish_Castilla_Y_Leon + Tuscan @ 2.515
9 French + French_Basque + Portuguese + Tuscan @ 2.518
10 North_Italian + Spanish_Castilla_La_Mancha + Spanish_Castilla_Y_Leon + Spanish_Cataluna @ 2.528
11 East_Sicilian + French + French_Basque + Spanish_Cantabria @ 2.552
12 Algerian_Jewish + French_Basque + Southwest_English + Spanish_Cantabria @ 2.577
13 French + French_Basque + Italian_Abruzzo + Spanish_Castilla_Y_Leon @ 2.597
14 North_Italian + Spanish_Castilla_Y_Leon + Spanish_Castilla_Y_Leon + Spanish_Castilla_Y_Leon @ 2.600
15 French + North_Italian + Spanish_Andalucia + Spanish_Castilla_La_Mancha @ 2.606
16 French + French_Basque + Portuguese + West_Sicilian @ 2.611
17 French + Portuguese + Spanish_Andalucia + Spanish_Andalucia @ 2.614
18 French_Basque + Spanish_Andalucia + Tuscan + West_German @ 2.617
19 North_Italian + Spanish_Castilla_Y_Leon + Spanish_Castilla_Y_Leon + Spanish_Cataluna @ 2.617
20 French + French_Basque + Spanish_Extremadura + Tuscan @ 2.621

---

I have English ancestry on both my maternal and paternal sides while my paternal great grandparents were from Croatia and I have a second great grandmother from Prussia (Poland) on that side also. Do I make the assumption that the Serbian is actually Croatian? I also don't know what to make of the West German (appears more on K13) or South Dutch as I have no known ancestors from Germany or the Netherlands. Considering my last name it does sound Danish but the Danish would be quite distant. Any help would be great.

Admix Results (sorted):

# Population Percent
1 North_Sea 30.84
2 Atlantic 25.2
3 Baltic 11.65
4 Eastern_Euro 10.5
5 West_Med 9.41
6 East_Med 6.02
7 West_Asian 4.54
8 Oceanian 1.11
9 South_Asian 0.51
10 Red_Sea 0.22

Single Population Sharing:

# Population (source) Distance
1 South_Dutch 3.7
2 West_German 5.05
3 North_German 5.48
4 Southwest_English 6.99
5 Southeast_English 6.99
6 Danish 7.25
7 North_Dutch 7.74
8 French 8.12
9 East_German 8.37
10 Irish 8.53
11 West_Scottish 8.96
12 Norwegian 9.75
13 Orcadian 10.19
14 Swedish 10.25
15 Austrian 11.16
16 North_Swedish 11.22
17 West_Norwegian 11.59
18 Hungarian 11.93
19 Southwest_Finnish 13.75
20 Serbian 14.59

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 68.2% Southeast_English + 31.8% Serbian @ 1.84
2 79.7% Danish + 20.3% Greek @ 1.99
3 59.2% Orcadian + 40.8% Serbian @ 2.16
4 62.4% West_Scottish + 37.6% Serbian @ 2.16
5 73.5% Southeast_English + 26.5% Romanian @ 2.41
6 78.9% Danish + 21.1% Greek_Thessaly @ 2.42
7 75.5% Danish + 24.5% Bulgarian @ 2.43
8 63.8% Irish + 36.2% Serbian @ 2.49
9 72.9% Southeast_English + 27.1% Moldavian @ 2.49
10 78.9% North_Dutch + 21.1% Greek @ 2.52
11 71.1% West_Scottish + 28.9% Bulgarian @ 2.58
12 76.4% Southeast_English + 23.6% Bulgarian @ 2.59
13 67.9% West_Scottish + 32.1% Romanian @ 2.6
14 77.7% Danish + 22.3% Tuscan @ 2.63
15 68% Danish + 32% Serbian @ 2.65
16 72.9% Danish + 27.1% Romanian @ 2.69
17 82% Danish + 18% Central_Greek @ 2.71
18 68.2% Orcadian + 31.8% Bulgarian @ 2.74
19 69% Southwest_English + 31% Serbian @ 2.75
20 81.4% South_Dutch + 18.6% North_Swedish @ 2.75

Least-squares method.

Using 1 population approximation:
1 South_Dutch @ 4.175
2 West_German @ 5.885
3 North_German @ 6.182
4 Southwest_English @ 7.995
5 Southeast_English @ 8.006
6 Danish @ 8.250
7 North_Dutch @ 8.855
8 French @ 9.246
9 East_German @ 9.739
10 Irish @ 9.775
207 iterations.



Using 2 populations approximation:
1 50% Austrian +50% Orcadian @ 3.628
2 50% Orcadian +50% Serbian @ 3.770
3 50% South_Dutch +50% West_German @ 3.774
4 50% North_German +50% South_Dutch @ 3.832
5 50% North_German +50% West_German @ 3.896
6 50% South_Dutch +50% South_Dutch @ 4.175
7 50% French +50% North_German @ 4.200
8 50% Serbian +50% West_Scottish @ 4.255
9 50% East_German +50% Southeast_English @ 4.329
10 50% French +50% North_Swedish @ 4.334
21528 iterations.



Using 3 populations approximation:
1 50% Southeast_English +25% Bulgarian +25% Norwegian @ 2.161
2 50% Southeast_English +25% Serbian +25% West_German @ 2.226
3 50% Southeast_English +25% Bulgarian +25% West_Norwegian @ 2.228
4 50% Danish +25% Bulgarian +25% Southwest_English @ 2.290
5 50% Danish +25% Bulgarian +25% Southeast_English @ 2.294
6 50% Danish +25% Serbian +25% South_Dutch @ 2.296
7 50% Danish +25% North_Italian +25% North_Swedish @ 2.300
8 50% Southeast_English +25% Danish +25% Serbian @ 2.312
9 50% Southeast_English +25% Danish +25% Romanian @ 2.317
10 50% Southeast_English +25% North_German +25% Serbian @ 2.335
643097 iterations.



Using 4 populations approximation:
1 Danish + Serbian + South_Dutch + Southeast_English @ 2.092
2 Danish + North_German + North_Italian + North_Swedish @ 2.129
3 Serbian + Southeast_English + West_German + West_Scottish @ 2.141
4 Danish + Serbian + Southeast_English + West_German @ 2.153
5 Bulgarian + Norwegian + Southeast_English + Southeast_English @ 2.161
6 North_Dutch + Serbian + South_Dutch + Southeast_English @ 2.200
7 Irish + Serbian + Southeast_English + West_German @ 2.212
8 Danish + Serbian + South_Dutch + West_Scottish @ 2.221
9 Serbian + Southeast_English + Southeast_English + West_German @ 2.226
10 Bulgarian + Southeast_English + Southeast_English + West_Norwegian @ 2.228
11 Serbian + South_Dutch + Southeast_English + West_Norwegian @ 2.231
12 Norwegian + Serbian + South_Dutch + Southeast_English @ 2.242
13 Danish + Orcadian + Serbian + South_Dutch @ 2.247
14 Danish + Serbian + Southeast_English + Southwest_English @ 2.287
15 Bulgarian + Danish + Danish + Southwest_English @ 2.290
16 Bulgarian + Danish + Danish + Southeast_English @ 2.294
17 Danish + Danish + Serbian + South_Dutch @ 2.296
18 Danish + Danish + North_Italian + North_Swedish @ 2.300
19 Danish + Serbian + Southeast_English + Southeast_English @ 2.312
20 Danish + Irish + Serbian + West_German @ 2.316

Mine updated:

1 North_Sea 38.17
2 Atlantic 23.84
3 Eastern_Euro 10.61
4 West_Med 8.99
5 Baltic 8.47
6 West_Asian 5.28
7 East_Med 3.20
8 Amerindian 1.44


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

Least-squares method.

Using 1 population approximation:
1 North_Dutch @ 6.337
2 Danish @ 6.673
3 West_German @ 7.028
4 Norwegian @ 7.055
5 Orcadian @ 7.078
6 Southwest_English @ 7.416
7 Southeast_English @ 7.503
8 West_Norwegian @ 7.591
9 West_Scottish @ 8.186
10 North_German @ 8.682

Using 2 populations approximation:
1 50% West_German +50% West_Norwegian @ 3.890
2 50% Orcadian +50% West_German @ 3.980
3 50% Norwegian +50% West_German @ 4.504
4 50% South_Dutch +50% West_Norwegian @ 4.647
5 50% Danish +50% West_German @ 4.728
6 50% North_Dutch +50% West_German @ 4.731
7 50% West_German +50% West_Scottish @ 4.908
8 50% Norwegian +50% Southwest_English @ 5.191
9 50% Southwest_English +50% West_Norwegian @ 5.194
10 50% French +50% West_Norwegian @ 5.259
21528 iterations.



Using 3 populations approximation:
1 50% West_German +25% Orcadian +25% West_Norwegian @ 3.464
2 50% West_German +25% Norwegian +25% Orcadian @ 3.722
3 50% West_German +25% West_Norwegian +25% West_Scottish @ 3.874
4 50% West_German +25% West_Norwegian +25% West_Norwegian @ 3.890
5 50% West_Norwegian +25% West_German +25% West_German @ 3.890
6 50% West_Norwegian +25% South_Dutch +25% West_German @ 3.927
7 50% West_German +25% Danish +25% West_Norwegian @ 3.940
8 50% Orcadian +25% West_German +25% West_German @ 3.980
9 50% West_German +25% Orcadian +25% Orcadian @ 3.980
10 50% West_German +25% Southeast_English +25% West_Norwegian @ 4.028
885765 iterations.



Using 4 populations approximation:
1 Orcadian + West_German + West_German + West_Norwegian @ 3.464
2 Norwegian + Orcadian + West_German + West_German @ 3.722
3 West_German + West_German + West_Norwegian + West_Scottish @ 3.874
4 West_German + West_German + West_Norwegian + West_Norwegian @ 3.890
5 South_Dutch + West_German + West_Norwegian + West_Norwegian @ 3.927
6 Danish + West_German + West_German + West_Norwegian @ 3.940
7 Orcadian + Orcadian + West_German + West_German @ 3.980
8 Southeast_English + West_German + West_German + West_Norwegian @ 4.028
9 French + West_German + West_Norwegian + West_Norwegian @ 4.035
10 Southwest_English + West_German + West_Norwegian + West_Norwegian @ 4.043
11 Orcadian + South_Dutch + West_German + West_Norwegian @ 4.050
12 North_Dutch + West_German + West_German + West_Norwegian @ 4.051
13 Southwest_English + West_German + West_German + West_Norwegian @ 4.112
14 Norwegian + Southwest_English + West_German + West_Norwegian @ 4.122
15 Norwegian + West_German + West_German + West_Norwegian @ 4.133
16 Orcadian + Southwest_English + West_German + West_Norwegian @ 4.136
17 Irish + West_German + West_German + West_Norwegian @ 4.138
18 Norwegian + Orcadian + Orcadian + West_German @ 4.140
19 Danish + Orcadian + West_German + West_German @ 4.142
20 Orcadian + Swedish + West_German + West_German @ 4.181

This seems very accurate as it has my closest population as Irish.

Admix Results (sorted):

# Population Percent
1 North_Sea 37.04
2 Atlantic 29.88
3 Baltic 11.89
4 Eastern_Euro 8.75
5 West_Asian 5.16
6 West_Med 4.95
7 Amerindian 1.15
8 Red_Sea 1.1
9 Siberian 0.07

Single Population Sharing:

# Population (source) Distance
1 Irish 3.03
2 West_Scottish 3.18
3 North_Dutch 3.71
4 Danish 3.92
5 Orcadian 4.92
6 Southeast_English 5.05
7 North_German 5.1
8 Southwest_English 6.72
9 Norwegian 7.23
10 West_Norwegian 7.49
11 Swedish 8.02
12 South_Dutch 9.76
13 West_German 10.83
14 North_Swedish 10.95
15 East_German 14.23
16 French 14.47
17 Southwest_Finnish 15.54
18 Austrian 18.1
19 Hungarian 18.79
20 Finnish 18.91

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 85.3% Irish + 14.7% Swedish @ 2.74
2 96.9% West_Scottish + 3.1% Chechen @ 2.76
3 97.1% West_Scottish + 2.9% North_Ossetian @ 2.77
4 97.4% Irish + 2.6% Tabassaran @ 2.78
5 89.9% Irish + 10.1% North_Swedish @ 2.79
6 97.7% Irish + 2.3% Chechen @ 2.8
7 67.9% Irish + 32.1% North_Dutch @ 2.81
8 74.3% West_Scottish + 25.7% North_German @ 2.82
9 97.7% Irish + 2.3% Lezgin @ 2.82
10 97.2% West_Scottish + 2.8% Kabardin @ 2.82
11 86.3% Irish + 13.7% West_Norwegian @ 2.83
12 97.3% West_Scottish + 2.7% Adygei @ 2.83
13 97% West_Scottish + 3% Tabassaran @ 2.83
14 98% Irish + 2% North_Ossetian @ 2.84
15 97.1% West_Scottish + 2.9% Lezgin @ 2.84
16 86.3% Irish + 13.7% Norwegian @ 2.84
17 97.3% West_Scottish + 2.7% Balkar @ 2.85
18 94.8% Irish + 5.2% Finnish @ 2.85
19 96% Irish + 4% Estonian @ 2.86
20 98% Irish + 2% Kabardin @ 2.86

Oracle 4

Using 1 population approximation:
1 Irish @ 3.432
2 West_Scottish @ 3.567
3 North_Dutch @ 4.197
4 Danish @ 4.472
5 Orcadian @ 5.508
6 Southeast_English @ 5.687
7 North_German @ 5.911
8 Southwest_English @ 7.480
9 Norwegian @ 8.427
10 West_Norwegian @ 8.739
207 iterations.



Using 2 populations approximation:
1 50% Irish +50% North_Dutch @ 3.222
2 50% North_Dutch +50% West_Scottish @ 3.340
3 50% Danish +50% Irish @ 3.391
4 50% Irish +50% West_Scottish @ 3.412
5 50% Irish +50% Irish @ 3.432
6 50% North_German +50% West_Scottish @ 3.563
7 50% North_German +50% Orcadian @ 3.564
8 50% West_Scottish +50% West_Scottish @ 3.567
9 50% Danish +50% West_Scottish @ 3.569
10 50% Irish +50% North_German @ 3.796
21528 iterations.

Oracle X

ct. Calc. Option 2

1 Irish 82.27%
2 Orcadian 5.29%
3 Swedish 4.82%
4 North_Swedish 2.28%
5 Tabassaran 1.97%
6 Estonian 1.80%
7 Finnish 0.63%
8 Chechen 0.45%
9 North_Ossetian 0.37%
10 Tatar 0.11%

They seem to have re-installed the old populations für K15 at gedmatch!:confused:

Quote:

---

Originally Posted by sonofthedutch

With New populations

1 North_Sea 35.75
2 Atlantic 31.57
3 Baltic 9.23
4 West_Med 8.19
5 West_Asian 6.31
6 Eastern_Euro 5.86
7 East_Med 1.26
8 Oceanian 0.68
9 Sub-Saharan 0.68
10 Northeast_African 0.3
11 Red_Sea 0.16

Single Population Sharing:

# Population (source) Distance
1 Southeast_English 4.02
2 Irish 4.16
3 West_Scottish 4.66
4 Southwest_English 4.82
5 Orcadian 5.17
6 North_Dutch 6.38
7 Danish 6.73
8 North_German 7.1
9 South_Dutch 8.36
10 West_German 10.22

I always wonder why i get Irish and Scottish with Eurogenes. I have no documented Scottish/Irish blood, always a possibility tho. Any ideas?

When i use 23andme, i don't score much British Isles only 20% speculative.

---

There must be some similarities in the populations. I'm fully Irish and I get North Dutch in a lot of these calculators.

Think I may have posted this before but they've updated the Oracle X results, so here goes:

North_Sea 29.74%
Atlantic 23.41%
West_Med 9.94%
Baltic 9.61%
East_Med 9.30%
Eastern_Euro 7.43%
West_Asian 6.45%
Red_Sea 2.18%
South_Asian 0.62%
Oceanian 0.56%
Northeast_African 0.48%
Siberian 0.17%
Sub-Saharan 0.09%
Amerindian -
Southeast_Asian -

1 French 6.51
2 German 7.15
3 Southwest_English 9.69
4 Southeast_English 9.99
5 Dutch 10.1

1 76.9% Dutch + 23.1% Sephardic_Jewish @ 1.48
2 69% West_Scottish + 31% Ashkenazi @ 1.75
3 73% Southeast_English + 27% Ashkenazi @ 1.78
4 80.5% Dutch + 19.5% Cyprian @ 1.92
5 65.8% Orcadian + 34.2% Greek @ 1.92

Oracle 4:

1 West_German @ 5.839
2 South_Dutch @ 6.565
3 French @ 7.374
4 North_German @ 10.441
5 Southwest_English @ 11.027

Using 2 populations approximation:
1 50% Tuscan +50% West_Norwegian @ 4.186

Using 3 populations approximation:
1 50% West_Scottish +25% Central_Greek +25% West_German @ 1.244
2 50% North_Dutch +25% Italian_Abruzzo +25% West_German @ 1.320

Using 4 populations approximation:
1 Central_Greek + West_German + West_Scottish + West_Scottish @ 1.244
2 Italian_Abruzzo + North_Dutch + West_German + West_Scottish @ 1.248

(Italian or AJ/Sephardic is more like it considering I have known Italian ancestry and possible jew, but no greek)


Oracle X:


Pct. Calc. Option 1

1 West_German 42.13%
2 North_German 25.03%
3 Orcadian 13.74%
4 Lebanese_Druze 7.71%
5 French_Basque 4.84%
6 Italian_Abruzzo 4.24%
7 Bedouin 2.11%

Pct. Calc. Option 2

1 West_German 44.76%
2 North_German 12.07%
3 Bedouin 7.17%
4 French_Basque 6.82%
5 Turkish 5.95%
6 Southeast_English 5.20%
7 West_Scottish 5.03%
8 Orcadian 4.59%
9 Austrian 4.44%
10 La_Brana-1 (Spanish) 3.95%

I'd guess you're 1/4 South (Central) Italian with some possible Jewish Sephardi in the mix and the rest British.

Quote:

---

Originally Posted by Siberia62

Think I may have posted this before but they've updated the Oracle X results, so here goes:

North_Sea 29.74%
Atlantic 23.41%
West_Med 9.94%
Baltic 9.61%
East_Med 9.30%
Eastern_Euro 7.43%
West_Asian 6.45%
Red_Sea 2.18%
South_Asian 0.62%
Oceanian 0.56%
Northeast_African 0.48%
Siberian 0.17%
Sub-Saharan 0.09%
Amerindian -
Southeast_Asian -

1 French 6.51
2 German 7.15
3 Southwest_English 9.69
4 Southeast_English 9.99
5 Dutch 10.1

1 76.9% Dutch + 23.1% Sephardic_Jewish @ 1.48
2 69% West_Scottish + 31% Ashkenazi @ 1.75
3 73% Southeast_English + 27% Ashkenazi @ 1.78
4 80.5% Dutch + 19.5% Cyprian @ 1.92
5 65.8% Orcadian + 34.2% Greek @ 1.92

Oracle 4:

1 West_German @ 5.839
2 South_Dutch @ 6.565
3 French @ 7.374
4 North_German @ 10.441
5 Southwest_English @ 11.027

Using 2 populations approximation:
1 50% Tuscan +50% West_Norwegian @ 4.186

Using 3 populations approximation:
1 50% West_Scottish +25% Central_Greek +25% West_German @ 1.244
2 50% North_Dutch +25% Italian_Abruzzo +25% West_German @ 1.320

Using 4 populations approximation:
1 Central_Greek + West_German + West_Scottish + West_Scottish @ 1.244
2 Italian_Abruzzo + North_Dutch + West_German + West_Scottish @ 1.248

(Italian or AJ/Sephardic is more like it considering I have known Italian ancestry and possible jew, but no greek)


Oracle X:


Pct. Calc. Option 1

1 West_German 42.13%
2 North_German 25.03%
3 Orcadian 13.74%
4 Lebanese_Druze 7.71%
5 French_Basque 4.84%
6 Italian_Abruzzo 4.24%
7 Bedouin 2.11%

Pct. Calc. Option 2

1 West_German 44.76%
2 North_German 12.07%
3 Bedouin 7.17%
4 French_Basque 6.82%
5 Turkish 5.95%
6 Southeast_English 5.20%
7 West_Scottish 5.03%
8 Orcadian 4.59%
9 Austrian 4.44%
10 La_Brana-1 (Spanish) 3.95%

---

North Sea 32.9%
Atlantic 28.2%
West Med 15.1%
Baltic 11.2%
East Europe 6.8%
West Asian 4.9%
South Asian .86%
Subsaharan .79%
NE Africa .25%

Closest match - Southwest English @ 5.604, followed by Dutch, SE English, French, and Irish

2 Population - Spanish Cantabrian + W. Norwegian @ 5.563
3 Population - 50% Southwest English + 25% Southwest French + 25% W. Norwegian @ 4.517
4 Population - Southwest English + Southwest English + Southwest French + W. Norwegian @ 4.517

Anyone tried this?

http://bga101.blogspot.com.au/2014/0...f-ancient.html

Basically uses a 4 ancestors oracle with eurogenes k15 components of a number of ancient and modern genomes (including yourself). Here are results for me, overall closest (on both calculators) to Ajvide58, a hunter-gatherer of the Pitted Ware Culture, 4900 to 4600 BP, although with a distance at 22 i'm quite far away from all of the samples, with the closest match being 50% Pitted Ware Culture Hunter-gatherer/forager, 25% Neolithic Farmer and 25% Iberian hunter-gatherer, although that's at a distance of 10.


Least-squares method.

Using 1 population approximation:
1 Ajvide58 @ 22.160058
2 Ajvide70 @ 22.26488
3 La_Brana-1 @ 22.828807
4 StoraFörvar11 @ 34.094471
5 Gokhem7 @ 39.360465
6 Gokhem2 @ 39.719112
7 Sardinian @ 52.47999
8 Lezgin @ 53.625408
9 MA-1 @ 60.584794
10 Yemenite_Jewish @ 71.707515
11 Australian_Aboriginal @ 84.230647
12 Ethiopian_Ari_cultivator @ 90.869727
13 Sakilli @ 91.053041
14 Evens @ 92.892635
15 Anzick-1 @ 101.832315
16 Dai @ 102.231241
17 Papuan @ 104.895006
18 Yoruban @ 105.852423
18 iterations.

Using 2 populations approximation:
1 Ajvide70+Gokhem2 @ 19.255813
2 Ajvide58+Gokhem2 @ 19.812224
3 Gokhem7+La_Brana-1 @ 20.221824
4 Ajvide58+Gokhem7 @ 20.638142
5 Ajvide70+La_Brana-1 @ 20.865326
6 Ajvide70+Gokhem7 @ 20.910372
7 Ajvide58+La_Brana-1 @ 21.542609
8 Gokhem2+La_Brana-1 @ 21.891216
9 Ajvide58+Ajvide70 @ 21.954775
10 Ajvide58+Ajvide58 @ 22.160058
11 Ajvide70+Ajvide70 @ 22.26488
12 La_Brana-1+La_Brana-1 @ 22.828807
13 Ajvide70+Sardinian @ 24.119717
14 Gokhem2+StoraFörvar11 @ 24.390061
15 Ajvide58+Sardinian @ 24.717214
16 Gokhem7+StoraFörvar11 @ 25.163746
17 La_Brana-1+Sardinian @ 26.516521
18 La_Brana-1+StoraFörvar11 @ 27.266003
171 iterations.

Using 3 populations approximation:
1 50% Ajvide70 +25% Gokhem2 +25% La_Brana-1 @ 16.1411
2 50% Ajvide70 +25% Ajvide58 +25% Gokhem2 @ 16.307844
3 50% Ajvide70 +25% Ajvide70 +25% Gokhem2 @ 16.333573
4 50% Ajvide58 +25% Ajvide70 +25% Gokhem2 @ 16.455946
5 50% Ajvide70 +25% La_Brana-1 +25% Sardinian @ 16.581007
6 50% La_Brana-1 +25% Ajvide70 +25% Gokhem7 @ 16.608176
7 50% Ajvide70 +25% Ajvide70 +25% Sardinian @ 16.671794
8 50% Ajvide70 +25% Ajvide58 +25% Sardinian @ 16.702378
9 50% Ajvide70 +25% Gokhem7 +25% La_Brana-1 @ 16.725226
10 50% Ajvide58 +25% Ajvide58 +25% Gokhem2 @ 16.773275
11 50% Ajvide58 +25% Ajvide70 +25% Sardinian @ 16.902139
12 50% Ajvide58 +25% Gokhem2 +25% La_Brana-1 @ 16.90459
13 50% La_Brana-1 +25% Ajvide58 +25% Gokhem7 @ 16.969002
14 50% Ajvide58 +25% Gokhem7 +25% La_Brana-1 @ 16.98349
15 50% La_Brana-1 +25% Ajvide70 +25% Gokhem2 @ 17.05355
16 50% Ajvide58 +25% Ajvide58 +25% Sardinian @ 17.265208
17 50% Ajvide58 +25% La_Brana-1 +25% Sardinian @ 17.432179
18 50% Ajvide58 +25% Ajvide70 +25% Gokhem7 @ 17.540298
1841 iterations.

Using 4 populations approximation:
1 Ajvide70+Ajvide70+Gokhem2+La_Brana-1 @ 16.1411
2 Ajvide58+Ajvide70+Ajvide70+Gokhem2 @ 16.307844
3 Ajvide70+Ajvide70+Ajvide70+Gokhem2 @ 16.333573
4 Ajvide58+Ajvide70+Gokhem2+La_Brana-1 @ 16.440926
5 Ajvide58+Ajvide58+Ajvide70+Gokhem2 @ 16.455946
6 Ajvide70+Ajvide70+La_Brana-1+Sardinian @ 16.581007
7 Ajvide70+Gokhem7+La_Brana-1+La_Brana-1 @ 16.608176
8 Ajvide70+Ajvide70+Ajvide70+Sardinian @ 16.671794
9 Ajvide58+Ajvide70+Ajvide70+Sardinian @ 16.702378
10 Ajvide70+Ajvide70+Gokhem7+La_Brana-1 @ 16.725226
11 Ajvide58+Ajvide70+Gokhem7+La_Brana-1 @ 16.770211
12 Ajvide58+Ajvide58+Ajvide58+Gokhem2 @ 16.773275
13 Ajvide58+Ajvide58+Ajvide70+Sardinian @ 16.902139
14 Ajvide58+Ajvide58+Gokhem2+La_Brana-1 @ 16.90459
15 Ajvide58+Ajvide70+La_Brana-1+Sardinian @ 16.92806
16 Ajvide58+Gokhem7+La_Brana-1+La_Brana-1 @ 16.969002
17 Ajvide58+Ajvide58+Gokhem7+La_Brana-1 @ 16.98349
18 Ajvide70+Gokhem2+La_Brana-1+La_Brana-1 @ 17.05355
19 Ajvide58+Ajvide58+Ajvide58+Sardinian @ 17.265208
20 Ajvide58+Ajvide58+La_Brana-1+Sardinian @ 17.432179
21 Ajvide58+Ajvide58+Ajvide70+Gokhem7 @ 17.540298
22 Ajvide70+La_Brana-1+La_Brana-1+Sardinian @ 17.562738
23 Gokhem7+La_Brana-1+La_Brana-1+La_Brana-1 @ 17.563278
24 Ajvide58+Ajvide58+Ajvide58+Gokhem7 @ 17.60524
25 Ajvide58+Ajvide70+Ajvide70+Gokhem7 @ 17.637228
26 Ajvide58+Gokhem2+La_Brana-1+La_Brana-1 @ 17.640897
27 Ajvide70+Ajvide70+Ajvide70+Gokhem7 @ 17.893401
28 Ajvide58+La_Brana-1+La_Brana-1+Sardinian @ 18.184827
29 Gokhem2+La_Brana-1+La_Brana-1+La_Brana-1 @ 18.911661
30 Ajvide70+Ajvide70+Gokhem2+StoraFörvar11 @ 19.215986
31 Ajvide70+Ajvide70+Gokhem2+Gokhem2 @ 19.255813
32 Ajvide58+Ajvide70+Gokhem2+Gokhem7 @ 19.303548
33 Ajvide70+Ajvide70+Gokhem2+Gokhem7 @ 19.309746
34 Ajvide70+Gokhem2+Gokhem7+La_Brana-1 @ 19.355263
35 Ajvide70+Gokhem2+La_Brana-1+StoraFörvar11 @ 19.36826
36 Ajvide58+Ajvide70+Gokhem2+StoraFörvar11 @ 19.393718
2290 iterations.


Gaussian method.
Noise dispersion set to 0.33296

Using 1 population approximation:
1 Ajvide58 @ 25.28208
2 Lezgin @ 25.402769
3 Sardinian @ 29.70786
4 Gokhem7 @ 29.971568
5 Gokhem2 @ 33.379109
6 La_Brana-1 @ 33.45137
7 Ajvide70 @ 33.766653
8 StoraFörvar11 @ 35.600159
9 Sakilli @ 72.633982
10 Evens @ 73.593752
11 Yemenite_Jewish @ 82.579868
12 Ethiopian_Ari_cultivator @ 83.697347
13 MA-1 @ 87.970171
14 Dai @ 110.002075
15 Yoruban @ 140.422075
16 Australian_Aboriginal @ 142.371542
17 Papuan @ 142.784358
18 Anzick-1 @ 144.341874
18 iterations.

Using 2 populations approximation:
1 Gokhem7+La_Brana-1 @ 11.725991
2 Ajvide70+Sardinian @ 11.742857
3 Ajvide58+Sardinian @ 11.901409
4 Ajvide58+Gokhem7 @ 12.487373
5 La_Brana-1+Sardinian @ 12.527233
6 Ajvide70+Gokhem7 @ 12.835804
7 Sardinian+StoraFörvar11 @ 13.406416
8 Gokhem7+StoraFörvar11 @ 14.53961
9 Ajvide58+Gokhem2 @ 15.182543
10 Ajvide70+Gokhem2 @ 15.184642
11 Gokhem2+La_Brana-1 @ 15.362351
12 Gokhem2+Lezgin @ 15.518085
13 Gokhem7+Lezgin @ 15.549355
14 Gokhem2+StoraFörvar11 @ 16.163784
15 La_Brana-1+Yemenite_Jewish @ 16.71166
16 Ajvide58+Yemenite_Jewish @ 16.949135
17 Ajvide70+Yemenite_Jewish @ 17.49012
18 Lezgin+Sardinian @ 18.01581
171 iterations.

Using 3 populations approximation:
1 50% La_Brana-1 +25% Gokhem2 +25% Gokhem7 @ 10.114928
2 50% La_Brana-1 +25% Gokhem7 +25% Sardinian @ 10.191172
3 50% Ajvide58 +25% Gokhem7 +25% Sardinian @ 10.333784
4 50% Ajvide58 +25% Gokhem2 +25% Gokhem7 @ 10.382152
5 50% Ajvide70 +25% Gokhem7 +25% Sardinian @ 10.465861
6 50% Ajvide70 +25% Gokhem2 +25% Gokhem7 @ 10.575196
7 50% La_Brana-1 +25% Gokhem7 +25% Lezgin @ 10.633507
8 50% La_Brana-1 +25% Gokhem2 +25% Lezgin @ 10.658031
9 50% Ajvide58 +25% Gokhem2 +25% Lezgin @ 10.723984
10 50% Ajvide58 +25% Lezgin +25% Sardinian @ 10.929367
11 50% Ajvide70 +25% Gokhem2 +25% Lezgin @ 10.937283
12 50% Ajvide70 +25% Lezgin +25% Sardinian @ 11.046578
13 50% La_Brana-1 +25% Lezgin +25% Sardinian @ 11.078395
14 50% Ajvide58 +25% Gokhem7 +25% Lezgin @ 11.506873
15 50% La_Brana-1 +25% Ajvide70 +25% Sardinian @ 11.513503
16 50% Ajvide58 +25% Ajvide70 +25% Sardinian @ 11.542266
17 50% Ajvide70 +25% La_Brana-1 +25% Sardinian @ 11.544596
18 50% Gokhem7 +25% Gokhem2 +25% La_Brana-1 @ 11.590459
2907 iterations.

Using 4 populations approximation:
1 Gokhem2+Gokhem7+La_Brana-1+La_Brana-1 @ 10.114928
2 Ajvide70+Gokhem7+La_Brana-1+Sardinian @ 10.16178
3 Ajvide70+Gokhem2+Gokhem7+La_Brana-1 @ 10.183212
4 Gokhem7+La_Brana-1+La_Brana-1+Sardinian @ 10.191172
5 Ajvide58+Gokhem2+Gokhem7+La_Brana-1 @ 10.230466
6 Ajvide58+Gokhem7+La_Brana-1+Sardinian @ 10.242587
7 Ajvide58+Ajvide70+Gokhem7+Sardinian @ 10.267127
8 Ajvide58+Ajvide58+Gokhem7+Sardinian @ 10.333784
9 Ajvide58+Ajvide70+Gokhem2+Gokhem7 @ 10.346831
10 Ajvide58+Ajvide58+Gokhem2+Gokhem7 @ 10.382152
11 Ajvide70+Ajvide70+Gokhem7+Sardinian @ 10.465861
12 Ajvide70+Ajvide70+Gokhem2+Gokhem7 @ 10.575196
13 Gokhem7+La_Brana-1+La_Brana-1+Lezgin @ 10.633507
14 Ajvide58+Gokhem2+La_Brana-1+Lezgin @ 10.633843
15 Gokhem2+La_Brana-1+La_Brana-1+Lezgin @ 10.658031
16 Ajvide70+Gokhem2+La_Brana-1+Lezgin @ 10.696442
17 Gokhem2+Gokhem7+La_Brana-1+StoraFörvar11 @ 10.71763
18 Ajvide58+Ajvide58+Gokhem2+Lezgin @ 10.723984
19 Gokhem7+La_Brana-1+Sardinian+StoraFörvar11 @ 10.764915
20 Ajvide58+Ajvide70+Gokhem2+Lezgin @ 10.826909
21 Ajvide58+Ajvide58+Lezgin+Sardinian @ 10.929367
22 Ajvide70+Ajvide70+Gokhem2+Lezgin @ 10.937283
23 Ajvide58+La_Brana-1+Lezgin+Sardinian @ 10.941202
24 Ajvide70+La_Brana-1+Lezgin+Sardinian @ 10.952699
25 Ajvide58+Gokhem7+Sardinian+StoraFörvar11 @ 10.9655
26 Ajvide58+Gokhem2+Gokhem7+StoraFörvar11 @ 10.975353
27 Ajvide58+Ajvide70+Lezgin+Sardinian @ 10.984669
28 Ajvide58+Gokhem7+La_Brana-1+Lezgin @ 10.989723
29 Ajvide70+Ajvide70+Lezgin+Sardinian @ 11.046578
30 La_Brana-1+La_Brana-1+Lezgin+Sardinian @ 11.078395
31 Ajvide70+Gokhem7+Sardinian+StoraFörvar11 @ 11.105568
32 Ajvide70+Gokhem2+Gokhem7+StoraFörvar11 @ 11.149004
33 Ajvide70+Gokhem7+La_Brana-1+Lezgin @ 11.178243
34 Gokhem2+Gokhem7+La_Brana-1+Lezgin @ 11.457302
35 Ajvide58+Ajvide70+La_Brana-1+Sardinian @ 11.480167
36 Ajvide58+Ajvide58+Gokhem7+Lezgin @ 11.506873
5985 iterations.

Here's the results for other family members, although i'll post only the total relatedness and the closest matches otherwise it'll just be a wall of text lol:

Father:
Least-squares method.

Using 1 population approximation:
1 Ajvide70 @ 23.043827
2 Ajvide58 @ 23.415984
3 La_Brana-1 @ 24.951744
4 StoraFörvar11 @ 35.87576
5 Gokhem7 @ 40.225762
6 Gokhem2 @ 41.151468
7 Sardinian @ 53.950669
8 Lezgin @ 58.581131
9 MA-1 @ 63.223299
10 Yemenite_Jewish @ 74.058449

Using 4 populations approximation:
1 Ajvide70+Ajvide70+Ajvide70+Gokhem2 @ 17.950328

Gaussian method.
Noise dispersion set to 0.33296

Using 1 population approximation:
1 Ajvide58 @ 19.829515
2 Lezgin @ 23.023021
3 Gokhem7 @ 24.18176
4 Sardinian @ 25.098008
5 Gokhem2 @ 25.444439
6 La_Brana-1 @ 28.207221
7 Ajvide70 @ 28.446888
8 StoraFörvar11 @ 30.067603
9 Sakilli @ 64.381041
10 Evens @ 64.401785

Using 4 populations approximation:
1 Ajvide58+Ajvide70+La_Brana-1+Sardinian @ 8.705328

Grandfather:

Least-squares method.

Using 1 population approximation:
1 Ajvide70 @ 21.837068
2 Ajvide58 @ 22.197802
3 La_Brana-1 @ 23.371385
4 StoraFörvar11 @ 34.859322
5 Gokhem7 @ 41.903298
6 Gokhem2 @ 42.888583
7 Sardinian @ 55.669268
8 Lezgin @ 56.890386
9 MA-1 @ 63.247446
10 Yemenite_Jewish @ 74.661066


Using 4 populations approximation:
1 Ajvide70+Ajvide70+Ajvide70+Gokhem2 @ 17.835099

Gaussian method.
Noise dispersion set to 0.33296

Using 1 population approximation:
1 Ajvide58 @ 18.183621
2 Lezgin @ 21.875808
3 Gokhem7 @ 23.773161
4 La_Brana-1 @ 23.938324
5 Ajvide70 @ 24.268824
6 Sardinian @ 25.374024
7 Gokhem2 @ 26.054762
8 StoraFörvar11 @ 26.21901
9 Sakilli @ 64.957082
10 Evens @ 65.031598



Using 4 populations approximation:
1 Ajvide58+Ajvide70+La_Brana-1+Sardinian @ 9.39031

Least-squares method.

Using 1 population approximation:
1 Gokhem2 @ 27.628391
2 Gokhem7 @ 32.977106
3 La_Brana-1 @ 33.087442
4 Ajvide58 @ 34.772586
5 Sardinian @ 35.40031
6 Ajvide70 @ 35.984449
7 StoraFörvar11 @ 38.975584
8 Lezgin @ 42.148239
9 Yemenite_Jewish @ 54.253505
10 MA-1 @ 56.886252
11 Australian_Aboriginal @ 80.393703
12 Ethiopian_Ari_cultivator @ 86.743766
13 Sakilli @ 87.378322
14 Evens @ 89.052555
15 Anzick-1 @ 98.301995
16 Dai @ 98.760388
17 Papuan @ 101.875808
18 Yoruban @ 102.973373
18 iterations.

Using 2 populations approximation:
1 Ajvide58+Sardinian @ 14.81517
2 Ajvide70+Sardinian @ 15.193909
3 La_Brana-1+Sardinian @ 15.474314
4 Sardinian+StoraFörvar11 @ 16.086559
5 Gokhem2+Lezgin @ 16.517223
6 Lezgin+Sardinian @ 18.407433
7 Ajvide58+Gokhem2 @ 18.558464
8 Gokhem2+La_Brana-1 @ 18.944593
9 Ajvide70+Gokhem2 @ 19.058443
10 Gokhem2+StoraFörvar11 @ 19.13287
11 Gokhem7+La_Brana-1 @ 21.56052
12 Gokhem7+Lezgin @ 22.019325
13 Ajvide58+Gokhem7 @ 23.53905
14 Gokhem7+Yemenite_Jewish @ 23.953643
15 Gokhem7+StoraFörvar11 @ 24.097041
16 Ajvide70+Gokhem7 @ 24.615912
17 La_Brana-1+Yemenite_Jewish @ 24.684346
18 Ajvide58+Yemenite_Jewish @ 25.358484
171 iterations.

Using 3 populations approximation:
1 50% Sardinian +25% Ajvide58 +25% Lezgin @ 9.448304
2 50% Sardinian +25% Ajvide70 +25% Lezgin @ 9.534373
3 50% Sardinian +25% La_Brana-1 +25% Lezgin @ 9.803576
4 50% Sardinian +25% Lezgin +25% StoraFörvar11 @ 10.497539
5 50% Gokhem2 +25% Ajvide58 +25% Lezgin @ 10.896175
6 50% Gokhem2 +25% La_Brana-1 +25% Lezgin @ 11.082609
7 50% Gokhem2 +25% Ajvide70 +25% Lezgin @ 11.139186
8 50% Gokhem2 +25% Lezgin +25% StoraFörvar11 @ 11.438335
9 50% La_Brana-1 +25% Sardinian +25% Yemenite_Jewish @ 12.271888
10 50% La_Brana-1 +25% Lezgin +25% Sardinian @ 12.548865
11 50% Ajvide58 +25% Sardinian +25% Yemenite_Jewish @ 12.549285
12 50% Gokhem2 +25% Ajvide58 +25% Yemenite_Jewish @ 12.886393
13 50% Gokhem7 +25% La_Brana-1 +25% Yemenite_Jewish @ 12.917741
14 50% Gokhem2 +25% StoraFörvar11 +25% Yemenite_Jewish @ 13.145143
15 50% Gokhem2 +25% Ajvide70 +25% Yemenite_Jewish @ 13.169858
16 50% La_Brana-1 +25% Gokhem7 +25% Yemenite_Jewish @ 13.291508
17 50% Gokhem2 +25% La_Brana-1 +25% Yemenite_Jewish @ 13.385064
18 50% Ajvide70 +25% Sardinian +25% Yemenite_Jewish @ 13.437588
1710 iterations.

Using 4 populations approximation:
1 Ajvide58+Gokhem2+Lezgin+Sardinian @ 9.288269
2 Ajvide58+Lezgin+Sardinian+Sardinian @ 9.448304
3 Ajvide70+Gokhem2+Lezgin+Sardinian @ 9.474506
4 Ajvide70+Lezgin+Sardinian+Sardinian @ 9.534373
5 Gokhem2+La_Brana-1+Lezgin+Sardinian @ 9.578129
6 La_Brana-1+Lezgin+Sardinian+Sardinian @ 9.803576
7 Gokhem2+Lezgin+Sardinian+StoraFörvar11 @ 10.138556
8 Lezgin+Sardinian+Sardinian+StoraFörvar11 @ 10.497539
9 Ajvide58+Gokhem2+Gokhem2+Lezgin @ 10.896175
10 Gokhem2+Gokhem2+La_Brana-1+Lezgin @ 11.082609
11 Ajvide70+Gokhem2+Gokhem2+Lezgin @ 11.139186
12 Gokhem7+La_Brana-1+Lezgin+Sardinian @ 11.274593
13 Gokhem2+Gokhem2+Lezgin+StoraFörvar11 @ 11.438335
14 Gokhem2+Gokhem7+La_Brana-1+Yemenite_Jewish @ 11.910721
15 Ajvide58+La_Brana-1+Sardinian+Yemenite_Jewish @ 11.980613
16 Ajvide70+La_Brana-1+Sardinian+Yemenite_Jewish @ 12.13732
17 Ajvide58+Gokhem7+Lezgin+Sardinian @ 12.148077
18 La_Brana-1+La_Brana-1+Sardinian+Yemenite_Jewish @ 12.271888
19 Gokhem2+La_Brana-1+Lezgin+Yemenite_Jewish @ 12.300963
20 La_Brana-1+Lezgin+Sardinian+Yemenite_Jewish @ 12.305964
21 Ajvide58+Gokhem2+Gokhem7+Yemenite_Jewish @ 12.437541
22 Gokhem7+La_Brana-1+Sardinian+Yemenite_Jewish @ 12.490665
23 La_Brana-1+La_Brana-1+Lezgin+Sardinian @ 12.548865
24 Ajvide58+Ajvide58+Sardinian+Yemenite_Jewish @ 12.549285
25 Gokhem7+La_Brana-1+Lezgin+Yemenite_Jewish @ 12.556097
26 Ajvide58+Lezgin+Sardinian+Yemenite_Jewish @ 12.570693
27 Ajvide58+Gokhem2+Lezgin+Yemenite_Jewish @ 12.620233
28 Ajvide70+Gokhem7+Lezgin+Sardinian @ 12.622689
29 Ajvide58+La_Brana-1+Lezgin+Sardinian @ 12.625889
30 Ajvide70+La_Brana-1+Lezgin+Sardinian @ 12.694933
31 Gokhem2+Gokhem7+StoraFörvar11+Yemenite_Jewish @ 12.75385
32 Gokhem7+Lezgin+Sardinian+StoraFörvar11 @ 12.857945
33 Ajvide70+Lezgin+Sardinian+Yemenite_Jewish @ 12.865281
34 Ajvide58+Gokhem2+Gokhem2+Yemenite_Jewish @ 12.886393
35 Ajvide58+Ajvide70+Sardinian+Yemenite_Jewish @ 12.891104
36 Gokhem7+Gokhem7+La_Brana-1+Yemenite_Jewish @ 12.917741
1781 iterations.


Gaussian method.
Noise dispersion set to 0.33296

Using 1 population approximation:
1 Sardinian @ 22.244915
2 Gokhem7 @ 28.976936
3 Lezgin @ 30.393628
4 Gokhem2 @ 38.499018
5 Yemenite_Jewish @ 47.989681
6 Sakilli @ 50.281896
7 Evens @ 59.450071
8 Ethiopian_Ari_cultivator @ 63.104426
9 Ajvide58 @ 64.305815
10 La_Brana-1 @ 77.578772
11 Ajvide70 @ 77.787414
12 StoraFörvar11 @ 78.037719
13 Dai @ 88.837354
14 MA-1 @ 92.797687
15 Australian_Aboriginal @ 101.99607
16 Anzick-1 @ 105.366234
17 Yoruban @ 110.453186
18 Papuan @ 113.481959
18 iterations.

Using 2 populations approximation:
1 Lezgin+Sardinian @ 9.473675
2 Gokhem2+Lezgin @ 9.744613
3 Gokhem7+Lezgin @ 12.286906
4 La_Brana-1+Sardinian @ 17.026205
5 Ajvide58+Sardinian @ 17.096112
6 Ajvide58+Yemenite_Jewish @ 17.137971
7 La_Brana-1+Yemenite_Jewish @ 17.144316
8 Ajvide70+Sardinian @ 17.376704
9 Sardinian+StoraFörvar11 @ 17.444257
10 Ajvide70+Yemenite_Jewish @ 17.989752
11 StoraFörvar11+Yemenite_Jewish @ 19.581312
12 Gokhem2+Sakilli @ 20.337652
13 Gokhem7+Sardinian @ 20.638284
14 MA-1+Sardinian @ 20.795779
15 Sakilli+Sardinian @ 20.948246
16 Lezgin+Yemenite_Jewish @ 21.138487
17 Gokhem7+Yemenite_Jewish @ 22.029585
18 Sardinian+Sardinian @ 22.244915
171 iterations.

Using 3 populations approximation:
1 50% Sardinian +25% La_Brana-1 +25% Lezgin @ 7.580059
2 50% Sardinian +25% Ajvide58 +25% Lezgin @ 7.618364
3 50% Sardinian +25% Ajvide70 +25% Lezgin @ 7.773327
4 50% Sardinian +25% Lezgin +25% StoraFörvar11 @ 7.89326
5 50% Gokhem2 +25% La_Brana-1 +25% Lezgin @ 8.987056
6 50% Gokhem2 +25% Ajvide58 +25% Lezgin @ 9.184008
7 50% Gokhem7 +25% La_Brana-1 +25% Yemenite_Jewish @ 9.22386
8 50% Sardinian +25% Gokhem7 +25% Lezgin @ 9.295485
9 50% Gokhem2 +25% Lezgin +25% StoraFörvar11 @ 9.384979
10 50% Lezgin +25% La_Brana-1 +25% Sardinian @ 9.38561
11 50% Gokhem2 +25% Ajvide70 +25% Lezgin @ 9.4073
12 50% Lezgin +25% Sardinian +25% Sardinian @ 9.473675
13 50% La_Brana-1 +25% Lezgin +25% Sardinian @ 9.5301
14 50% Lezgin +25% Gokhem2 +25% Sardinian @ 9.572194
15 50% Lezgin +25% Ajvide58 +25% Sardinian @ 9.600806
16 50% Gokhem2 +25% Lezgin +25% Sardinian @ 9.700672
17 50% Lezgin +25% Ajvide70 +25% Sardinian @ 9.73176
18 50% Gokhem2 +25% Lezgin +25% Lezgin @ 9.744613
2907 iterations.

Using 4 populations approximation:
1 La_Brana-1+Lezgin+Sardinian+Sardinian @ 7.580059
2 Ajvide58+Lezgin+Sardinian+Sardinian @ 7.618364
3 Ajvide70+Lezgin+Sardinian+Sardinian @ 7.773327
4 Lezgin+Sardinian+Sardinian+StoraFörvar11 @ 7.89326
5 Gokhem2+La_Brana-1+Lezgin+Sardinian @ 8.136631
6 Ajvide58+Gokhem2+Lezgin+Sardinian @ 8.293109
7 Ajvide70+Gokhem2+Lezgin+Sardinian @ 8.507239
8 Gokhem2+Lezgin+Sardinian+StoraFörvar11 @ 8.534384
9 La_Brana-1+Lezgin+Sardinian+Yemenite_Jewish @ 8.575127
10 Ajvide58+Lezgin+Sardinian+Yemenite_Jewish @ 8.741792
11 Ajvide70+Lezgin+Sardinian+Yemenite_Jewish @ 8.896612
12 Gokhem2+Gokhem2+La_Brana-1+Lezgin @ 8.987056
13 Gokhem7+La_Brana-1+Lezgin+Sardinian @ 9.002543
14 Gokhem2+La_Brana-1+Lezgin+Yemenite_Jewish @ 9.026255
15 Gokhem7+La_Brana-1+Lezgin+Yemenite_Jewish @ 9.181438
16 Ajvide58+Gokhem2+Gokhem2+Lezgin @ 9.184008
17 Gokhem7+Gokhem7+La_Brana-1+Yemenite_Jewish @ 9.22386
18 Gokhem7+Lezgin+Sardinian+Sardinian @ 9.295485
19 Ajvide58+Gokhem2+Lezgin+Yemenite_Jewish @ 9.302869
20 Ajvide58+Gokhem7+Lezgin+Sardinian @ 9.320153
21 Lezgin+Sardinian+StoraFörvar11+Yemenite_Jewish @ 9.370068
22 Gokhem2+Gokhem2+Lezgin+StoraFörvar11 @ 9.384979
23 La_Brana-1+Lezgin+Lezgin+Sardinian @ 9.38561
24 Ajvide70+Gokhem2+Gokhem2+Lezgin @ 9.4073
25 Gokhem7+La_Brana-1+Sardinian+Yemenite_Jewish @ 9.408869
26 Lezgin+Lezgin+Sardinian+Sardinian @ 9.473675
27 Ajvide70+Gokhem2+Lezgin+Yemenite_Jewish @ 9.523838
28 La_Brana-1+La_Brana-1+Lezgin+Sardinian @ 9.5301
29 Ajvide70+Gokhem7+Lezgin+Sardinian @ 9.558602
30 Gokhem2+Lezgin+Lezgin+Sardinian @ 9.572194
31 Ajvide58+Lezgin+Lezgin+Sardinian @ 9.600806
32 Gokhem7+Lezgin+Sardinian+StoraFörvar11 @ 9.616051
33 Ajvide58+Gokhem7+Sardinian+Yemenite_Jewish @ 9.621529
34 Gokhem2+Gokhem7+Lezgin+Sardinian @ 9.68494
35 Gokhem2+Gokhem2+Lezgin+Sardinian @ 9.700672
36 Ajvide58+La_Brana-1+Lezgin+Sardinian @ 9.707165
5985 iterations.

the exe file fails in my system showing a messange saying windows must to clese the aplication

An ancient genomes only run.

Using 1 population approximation:
1 Gokhem2 @ 27.628391
2 Gokhem7 @ 32.977106
3 La_Brana-1 @ 33.087442
4 Ajvide58 @ 34.772586
5 Ajvide70 @ 35.984449
6 StoraFörvar11 @ 38.975584
7 MA-1 @ 56.886252
7 iterations.

Using 2 populations approximation:
1 Ajvide58+Gokhem2 @ 18.558464
2 Gokhem2+La_Brana-1 @ 18.944593
3 Ajvide70+Gokhem2 @ 19.058443
4 Gokhem2+StoraFörvar11 @ 19.13287
5 Gokhem7+La_Brana-1 @ 21.56052
6 Ajvide58+Gokhem7 @ 23.53905
7 Gokhem7+StoraFörvar11 @ 24.097041
28 iterations.

Using 3 populations approximation:
1 50% Gokhem2 +25% La_Brana-1 +25% StoraFörvar11 @ 18.381852
2 50% Gokhem2 +25% Ajvide58 +25% La_Brana-1 @ 18.470254
3 50% Gokhem2 +25% Ajvide58 +25% StoraFörvar11 @ 18.483817
4 50% Gokhem2 +25% Ajvide70 +25% La_Brana-1 @ 18.514628
5 50% Ajvide58 +25% Gokhem2 +25% Gokhem2 @ 18.558464
6 50% Gokhem2 +25% Ajvide70 +25% StoraFörvar11 @ 18.606434
7 50% Gokhem2 +25% Ajvide58 +25% Ajvide70 @ 18.734309
168 iterations.

Using 4 populations approximation:
1 Gokhem2+Gokhem2+La_Brana-1+StoraFörvar11 @ 18.381852
2 Ajvide58+Gokhem2+Gokhem2+La_Brana-1 @ 18.470254
3 Ajvide58+Gokhem2+Gokhem2+StoraFörvar11 @ 18.483817
4 Ajvide70+Gokhem2+Gokhem2+La_Brana-1 @ 18.514628
5 Ajvide58+Ajvide58+Gokhem2+Gokhem2 @ 18.558464
6 Ajvide70+Gokhem2+Gokhem2+StoraFörvar11 @ 18.606434
7 Ajvide58+Ajvide70+Gokhem2+Gokhem2 @ 18.734309
8 Gokhem2+Gokhem2+La_Brana-1+La_Brana-1 @ 18.944593
9 Ajvide70+Ajvide70+Gokhem2+Gokhem2 @ 19.058443
10 Gokhem2+Gokhem2+StoraFörvar11+StoraFörvar11 @ 19.13287
11 Gokhem2+Gokhem2+Gokhem2+StoraFörvar11 @ 19.259051
12 Gokhem2+Gokhem7+La_Brana-1+La_Brana-1 @ 19.512255
13 Gokhem2+Gokhem7+La_Brana-1+StoraFörvar11 @ 19.669355
14 Ajvide58+Gokhem2+Gokhem7+La_Brana-1 @ 19.720769
210 iterations.


Gaussian method.
Noise dispersion set to 0.33296

Using 1 population approximation:
1 Gokhem7 @ 28.976936
2 Gokhem2 @ 38.499018
3 Ajvide58 @ 64.305815
4 La_Brana-1 @ 77.578772
5 Ajvide70 @ 77.787414
6 StoraFörvar11 @ 78.037719
7 MA-1 @ 92.797687
7 iterations.

Using 2 populations approximation:
1 Gokhem2+Gokhem7 @ 24.426227
2 Gokhem7+La_Brana-1 @ 24.609516
3 Ajvide58+Gokhem7 @ 24.894026
4 Ajvide70+Gokhem7 @ 25.185666
5 Gokhem7+StoraFörvar11 @ 25.347097
6 Gokhem7+MA-1 @ 26.94409
7 Gokhem7+Gokhem7 @ 28.976936
28 iterations.

Using 3 populations approximation:
1 50% Gokhem2 +25% Gokhem7 +25% La_Brana-1 @ 13.860573
2 50% Gokhem2 +25% Ajvide58 +25% Gokhem7 @ 13.977966
3 50% Gokhem2 +25% Gokhem7 +25% StoraFörvar11 @ 14.051108
4 50% Gokhem2 +25% Ajvide70 +25% Gokhem7 @ 14.396051
5 50% Gokhem7 +25% Gokhem2 +25% La_Brana-1 @ 14.474711
6 50% Gokhem7 +25% Ajvide58 +25% Gokhem2 @ 14.665514
7 50% Gokhem7 +25% Gokhem2 +25% StoraFörvar11 @ 14.792427
168 iterations.

Using 4 populations approximation:
1 Gokhem2+Gokhem2+Gokhem7+La_Brana-1 @ 13.860573
2 Ajvide58+Gokhem2+Gokhem2+Gokhem7 @ 13.977966
3 Gokhem2+Gokhem2+Gokhem7+StoraFörvar11 @ 14.051108
4 Ajvide70+Gokhem2+Gokhem2+Gokhem7 @ 14.396051
5 Gokhem2+Gokhem7+Gokhem7+La_Brana-1 @ 14.474711
6 Ajvide58+Gokhem2+Gokhem7+Gokhem7 @ 14.665514
7 Gokhem2+Gokhem7+Gokhem7+StoraFörvar11 @ 14.792427
8 Ajvide70+Gokhem2+Gokhem7+Gokhem7 @ 15.088401
9 Gokhem2+Gokhem2+Gokhem7+MA-1 @ 15.403647
10 Gokhem2+Gokhem7+Gokhem7+MA-1 @ 15.968362
11 Gokhem2+Gokhem7+La_Brana-1+La_Brana-1 @ 16.205385
12 Ajvide58+Gokhem2+Gokhem7+La_Brana-1 @ 16.357138
13 Ajvide58+Ajvide58+Gokhem2+Gokhem7 @ 16.479891
14 Gokhem2+Gokhem7+La_Brana-1+StoraFörvar11 @ 16.562252
210 iterations.

could someone exute the program with my k15?

Quote:

---

Originally Posted by gold_fenix

could someone exute the program with my k15?

---

yup.just post them or give a link.

Do i need install R to run this program?

my results thanks to HellLander

Using 1 population approximation:
1 Gokhem2 @ 25.615164
2 Gokhem7 @ 41.034364
3 La_Brana-1 @ 42.483908
4 Ajvide58 @ 47.661512
5 Ajvide70 @ 49.307309
6 StoraFörvar11 @ 55.506328
7 MA-1 @ 67.461461
7 iterations.

Using 2 populations approximation:
1 Gokhem2+Gokhem2 @ 25.615164
2 Gokhem2+La_Brana-1 @ 25.697349
3 Ajvide58+Gokhem2 @ 28.671665
4 Ajvide70+Gokhem2 @ 29.627582
5 Gokhem2+Gokhem7 @ 32.332383
6 Gokhem2+StoraFörvar11 @ 33.066587
7 Gokhem7+La_Brana-1 @ 33.437592
28 iterations.

Using 3 populations approximation:
1 50% Gokhem2 +25% Gokhem2 +25% La_Brana-1 @ 22.709166
2 50% Gokhem2 +25% Ajvide58 +25% Gokhem2 @ 24.055084
3 50% Gokhem2 +25% Ajvide70 +25% Gokhem2 @ 24.505002
4 50% Gokhem2 +25% La_Brana-1 +25% La_Brana-1 @ 25.697349
5 50% Gokhem2 +25% Gokhem2 +25% StoraFörvar11 @ 26.095624
6 50% Gokhem2 +25% Gokhem7 +25% La_Brana-1 @ 26.387475
7 50% Gokhem2 +25% Ajvide58 +25% La_Brana-1 @ 27.031505
168 iterations.

Using 4 populations approximation:
1 Gokhem2+Gokhem2+Gokhem2+La_Brana-1 @ 22.709166
2 Ajvide58+Gokhem2+Gokhem2+Gokhem2 @ 24.055084
3 Ajvide70+Gokhem2+Gokhem2+Gokhem2 @ 24.505002
4 Gokhem2+Gokhem2+Gokhem2+Gokhem2 @ 25.615164
5 Gokhem2+Gokhem2+La_Brana-1+La_Brana-1 @ 25.697349
6 Gokhem2+Gokhem2+Gokhem2+StoraFörvar11 @ 26.095624
7 Gokhem2+Gokhem2+Gokhem7+La_Brana-1 @ 26.387475
8 Ajvide58+Gokhem2+Gokhem2+La_Brana-1 @ 27.031505
9 Ajvide70+Gokhem2+Gokhem2+La_Brana-1 @ 27.400807
10 Gokhem2+Gokhem2+Gokhem2+MA-1 @ 27.72659
11 Ajvide58+Gokhem2+Gokhem2+Gokhem7 @ 28.020843
12 Ajvide70+Gokhem2+Gokhem2+Gokhem7 @ 28.553071
13 Gokhem2+Gokhem2+Gokhem2+Gokhem7 @ 28.628851
14 Ajvide58+Ajvide58+Gokhem2+Gokhem2 @ 28.671665
210 iterations.


Gaussian method.
Noise dispersion set to 0.33296

Using 1 population approximation:
1 Gokhem2 @ 14.836991
2 Gokhem7 @ 22.667426
3 Ajvide58 @ 50.093554
4 La_Brana-1 @ 71.328803
5 Ajvide70 @ 72.017615
6 StoraFörvar11 @ 73.366887
7 MA-1 @ 129.181999
7 iterations.

Using 2 populations approximation:
1 Gokhem2+La_Brana-1 @ 11.033536
2 Ajvide58+Gokhem2 @ 12.067385
3 Ajvide70+Gokhem2 @ 12.677083
4 Gokhem2+StoraFörvar11 @ 13.908572
5 Gokhem2+Gokhem2 @ 14.836991
6 Gokhem2+MA-1 @ 16.259468
7 Gokhem2+Gokhem7 @ 16.559394
28 iterations.

Using 3 populations approximation:
1 50% Gokhem2 +25% Gokhem2 +25% La_Brana-1 @ 9.706278
2 50% Gokhem2 +25% Ajvide58 +25% Gokhem2 @ 10.161772
3 50% Gokhem2 +25% Ajvide70 +25% Gokhem2 @ 10.598497
4 50% Gokhem2 +25% La_Brana-1 +25% La_Brana-1 @ 11.033536
5 50% Gokhem2 +25% Gokhem2 +25% StoraFörvar11 @ 11.075768
6 50% Gokhem2 +25% Gokhem7 +25% La_Brana-1 @ 11.252042
7 50% Gokhem2 +25% Ajvide58 +25% La_Brana-1 @ 11.510943
168 iterations.

Using 4 populations approximation:
1 Gokhem2+Gokhem2+Gokhem2+La_Brana-1 @ 9.706278
2 Ajvide58+Gokhem2+Gokhem2+Gokhem2 @ 10.161772
3 Ajvide70+Gokhem2+Gokhem2+Gokhem2 @ 10.598497
4 Gokhem2+Gokhem2+La_Brana-1+La_Brana-1 @ 11.033536
5 Gokhem2+Gokhem2+Gokhem2+StoraFörvar11 @ 11.075768
6 Gokhem2+Gokhem2+Gokhem7+La_Brana-1 @ 11.252042
7 Ajvide58+Gokhem2+Gokhem2+La_Brana-1 @ 11.510943
8 Ajvide58+Gokhem2+Gokhem2+Gokhem7 @ 11.850809
9 Ajvide70+Gokhem2+Gokhem2+La_Brana-1 @ 11.870491
10 Ajvide58+Ajvide58+Gokhem2+Gokhem2 @ 12.067385
11 Gokhem2+Gokhem2+Gokhem2+MA-1 @ 12.207272
12 Ajvide70+Gokhem2+Gokhem2+Gokhem7 @ 12.284675
13 Gokhem2+Gokhem2+La_Brana-1+StoraFörvar11 @ 12.352351
14 Ajvide58+Ajvide70+Gokhem2+Gokhem2 @ 12.430238

Noticed people are scoring 22,18, 25 distance. That is still quite a distance to any & you are all still far from the ancient populations in comparison to the modern.

Would be interesting to find anyone with a low score or who gets the lowest score for an Apricity member. Will give it a shot when I download it all again.

Quote:

---

Originally Posted by Graham

Noticed people are scoring 22,18, 25 distance. That is still quite a distance to any & you are all still far from the ancient populations in comparison to the modern.

Would be interesting to find anyone with a low score or who gets the lowest score for an Apricity member. Will give it a shot when I download it all again.

---

There was a Finn on ABF that got a distance (single population) of about 10 to one of the Pitted Ware hunter-foragers, so i guess he'd be atypical but still pretty close.

Would someone be able to run mine for me please? Here are my Eurogenes K15 results below.

Would someone be able to run my results please? Here are my Eurogenes K15 results.

Population
North_Sea 31.10%
Atlantic 20.43%
Baltic 10.15%
Eastern_Euro 12.53%
West_Med 7.55%
West_Asian 4.79%
East_Med 7.85%
Red_Sea 1.47%
South_Asian 1.06%
Southeast_Asian 0.21%
Siberian 1.01%
Amerindian 0.91%
Oceanian 0.96%
Northeast_African -
Sub-Saharan -

Quote:

---

Originally Posted by Jaxman

Would someone be able to run mine for me please? Here are my Eurogenes K15 results below.

Would someone be able to run my results please? Here are my Eurogenes K15 results.

Population
North_Sea 31.10%
Atlantic 20.43%
Baltic 10.15%
Eastern_Euro 12.53%
West_Med 7.55%
West_Asian 4.79%
East_Med 7.85%
Red_Sea 1.47%
South_Asian 1.06%
Southeast_Asian 0.21%
Siberian 1.01%
Amerindian 0.91%
Oceanian 0.96%
Northeast_African -
Sub-Saharan -

---

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.

3 Finnish results



1.

Least-squares method.

Using 1 population approximation:
1 Ajvide58 @ 8,417979
2 Ajvide70 @ 11,261266
3 La_Brana-1 @ 15,812488
4 StoraFörvar11 @ 18,066734
5 Gokhem7 @ 46,251162
6 Gokhem2 @ 48,738795
7 MA-1 @ 53,505292
8 Lezgin @ 55,055818
9 Sardinian @ 61,251891
10 Yemenite_Jewish @ 76,463982


Using 2 populations approximation:
1 Ajvide58+Ajvide58 @ 8,417979
2 Ajvide58+Ajvide70 @ 9,35173
3 Ajvide70+La_Brana-1 @ 10,740001
4 Ajvide58+La_Brana-1 @ 10,882155
5 Ajvide70+Ajvide70 @ 11,261266
6 Ajvide58+StoraFörvar11 @ 12,011408
7 Ajvide70+StoraFörvar11 @ 12,362328
8 La_Brana-1+StoraFörvar11 @ 13,779045
9 La_Brana-1+La_Brana-1 @ 15,812488

171 iterations.

Using 3 populations approximation:
1 50% Ajvide58 +25% Ajvide58 +25% Ajvide70 @ 8,735703
2 50% Ajvide58 +25% Ajvide58 +25% La_Brana-1 @ 9,172514
3 50% Ajvide58 +25% Ajvide70 +25% La_Brana-1 @ 9,201555
4 50% Ajvide58 +25% Ajvide70 +25% Ajvide70 @ 9,35173
5 50% Ajvide70 +25% Ajvide58 +25% La_Brana-1 @ 9,533856
6 50% Ajvide58 +25% Ajvide58 +25% StoraFörvar11 @ 9,694224
7 50% Ajvide58 +25% Ajvide70 +25% StoraFörvar11 @ 9,870071
8 50% Ajvide70 +25% Ajvide70 +25% La_Brana-1 @ 10,139645
9 50% Ajvide70 +25% Ajvide58 +25% Ajvide70 @ 10,212217
10 50% Ajvide70 +25% Ajvide58 +25% StoraFörvar11 @ 10,322346

1519 iterations.

Using 4 populations approximation:
1 Ajvide58+Ajvide58+Ajvide58+Ajvide58 @ 8,417979
2 Ajvide58+Ajvide58+Ajvide58+Ajvide70 @ 8,735703
3 Ajvide58+Ajvide58+Ajvide58+La_Brana-1 @ 9,172514
4 Ajvide58+Ajvide58+Ajvide70+La_Brana-1 @ 9,201555
5 Ajvide58+Ajvide58+Ajvide70+Ajvide70 @ 9,35173
6 Ajvide58+Ajvide70+Ajvide70+La_Brana-1 @ 9,533856
7 Ajvide58+Ajvide58+Ajvide58+StoraFörvar11 @ 9,694224
8 Ajvide58+Ajvide58+Ajvide70+StoraFörvar11 @ 9,870071
9 Ajvide70+Ajvide70+Ajvide70+La_Brana-1 @ 10,139645
10 Ajvide58+Ajvide70+Ajvide70+Ajvide70 @ 10,212217

1094 iterations.


Gaussian method.
Noise dispersion set to 0,33296

Using 1 population approximation:
1 Ajvide58 @ 8,613696
2 Ajvide70 @ 13,554646
3 La_Brana-1 @ 13,728098
4 StoraFörvar11 @ 15,245983
5 Lezgin @ 20,299007
6 Sardinian @ 47,338778
7 MA-1 @ 52,335722
8 Gokhem7 @ 54,532163
9 Gokhem2 @ 57,276393
10 Evens @ 64,653149

18 iterations.

Using 2 populations approximation:
1 Ajvide58+Ajvide58 @ 8,613696
2 Ajvide58+Ajvide70 @ 9,97702
3 Ajvide58+La_Brana-1 @ 10,161061
4 Ajvide58+StoraFörvar11 @ 10,396587
5 Ajvide58+Gokhem7 @ 10,636507
6 Gokhem2+StoraFörvar11 @ 10,792686
7 Ajvide58+Gokhem2 @ 11,143504
8 Gokhem7+La_Brana-1 @ 11,237122
9 Ajvide70+Gokhem7 @ 11,449984
10 Ajvide70+Gokhem2 @ 11,689646

171 iterations.

Using 3 populations approximation:
1 50% Ajvide58 +25% Gokhem7 +25% StoraFörvar11 @ 7,925534
2 50% Ajvide58 +25% Ajvide70 +25% Gokhem7 @ 7,956927
3 50% Ajvide58 +25% Ajvide58 +25% Gokhem7 @ 8,013966
4 50% Ajvide58 +25% Gokhem2 +25% StoraFörvar11 @ 8,108943
5 50% Ajvide58 +25% Gokhem7 +25% La_Brana-1 @ 8,140026
6 50% Ajvide58 +25% Ajvide70 +25% Gokhem2 @ 8,230184
7 50% La_Brana-1 +25% Gokhem7 +25% StoraFörvar11 @ 8,260476
8 50% Ajvide70 +25% Ajvide58 +25% Gokhem7 @ 8,331914
9 50% La_Brana-1 +25% Ajvide70 +25% Gokhem7 @ 8,34358
10 50% Ajvide58 +25% Ajvide58 +25% Gokhem2 @ 8,351778

2907 iterations.

Using 4 populations approximation:
1 Ajvide58+Ajvide58+Gokhem7+StoraFörvar11 @ 7,925534
2 Ajvide58+Ajvide58+Ajvide70+Gokhem7 @ 7,956927
3 Ajvide58+Ajvide58+Ajvide58+Gokhem7 @ 8,013966
4 Ajvide58+Gokhem7+La_Brana-1+StoraFörvar11 @ 8,014098
5 Ajvide58+Ajvide70+Gokhem7+La_Brana-1 @ 8,094134
6 Ajvide58+Ajvide58+Gokhem2+StoraFörvar11 @ 8,108943
7 Ajvide58+Ajvide58+Gokhem7+La_Brana-1 @ 8,140026
8 Ajvide58+Ajvide58+Ajvide70+Gokhem2 @ 8,230184
9 Ajvide58+Ajvide70+Gokhem7+StoraFörvar11 @ 8,243846
10 StoraFörvar11+StoraFörvar11 @ 18,066734

5985 iterations.



2.



Using 1 population approximation:
1 La_Brana-1 @ 11.139242
2 Ajvide58 @ 12.726616
3 Ajvide70 @ 17.059307
4 StoraFörvar11 @ 19.229642
5 Gokhem2 @ 47.188991
6 Gokhem7 @ 48.692226
7 MA-1 @ 52.43287
8 Lezgin @ 54.97107
9 Sardinian @ 59.455424
10 Yemenite_Jewish @ 75.49198

Using 2 populations approximation:
1 Ajvide58+La_Brana-1 @ 10.049749
2 La_Brana-1+La_Brana-1 @ 11.139242
3 Ajvide70+La_Brana-1 @ 11.596271
4 La_Brana-1+StoraFörvar11 @ 12.189019
5 Ajvide58+Ajvide58 @ 12.726616
6 Ajvide58+StoraFörvar11 @ 14.54346
7 Ajvide58+Ajvide70 @ 14.666593
8 Ajvide70+StoraFörvar11 @ 16.019213
9 Ajvide70+Ajvide70 @ 17.059307
10 StoraFörvar11+StoraFörvar11 @ 19.229642

Using 3 populations approximation:
1 50% Ajvide58 +25% La_Brana-1 +25% La_Brana-1 @ 10.049749
2 50% La_Brana-1 +25% Ajvide58 +25% La_Brana-1 @ 10.101152
3 50% La_Brana-1 +25% Ajvide70 +25% La_Brana-1 @ 10.536064
4 50% La_Brana-1 +25% Ajvide58 +25% StoraFörvar11 @ 10.544887
5 50% La_Brana-1 +25% La_Brana-1 +25% StoraFörvar11 @ 10.570609
6 50% La_Brana-1 +25% Ajvide58 +25% Ajvide70 @ 10.718646
7 50% Ajvide58 +25% Ajvide58 +25% La_Brana-1 @ 10.998877
8 50% La_Brana-1 +25% Ajvide70 +25% StoraFörvar11 @ 11.093996
9 50% Ajvide58 +25% La_Brana-1 +25% StoraFörvar11 @ 11.474544
10 50% Ajvide70 +25% La_Brana-1 +25% La_Brana-1 @ 11.596271


Using 4 populations approximation:
1 Ajvide58+Ajvide58+La_Brana-1+La_Brana-1 @ 10.049749
2 Ajvide58+La_Brana-1+La_Brana-1+La_Brana-1 @ 10.101152
3 Ajvide70+La_Brana-1+La_Brana-1+La_Brana-1 @ 10.536064
4 Ajvide58+La_Brana-1+La_Brana-1+StoraFörvar11 @ 10.544887
5 La_Brana-1+La_Brana-1+La_Brana-1+StoraFörvar11 @ 10.570609
6 Ajvide58+Ajvide70+La_Brana-1+La_Brana-1 @ 10.718646
7 Ajvide58+Ajvide58+Ajvide58+La_Brana-1 @ 10.998877
8 Ajvide70+La_Brana-1+La_Brana-1+StoraFörvar11 @ 11.093996
9 La_Brana-1+La_Brana-1+La_Brana-1+La_Brana-1 @ 11.139242
10 Ajvide58+Ajvide58+La_Brana-1+StoraFörvar11 @ 11.474544



3.



Least-squares method.

Using 1 population approximation:
1 La_Brana-1 @ 13,648682
2 Ajvide58 @ 15,46899
3 Ajvide70 @ 20,043609
4 StoraFörvar11 @ 20,35721
5 Gokhem2 @ 49,464316
6 MA-1 @ 50,078282
7 Gokhem7 @ 52,156668
8 Lezgin @ 54,882971
9 Sardinian @ 61,286043
10 Yemenite_Jewish @ 75,616984
11 Australian_Aboriginal @ 83,735325
12 Evens @ 86,066604
13 Ethiopian_Ari_cultivator @ 90,542037
14 Sakilli @ 90,685769
15 Anzick-1 @ 98,662145
16 Dai @ 101,19932
17 Papuan @ 104,750353
18 Yoruban @ 105,906888
18 iterations.

Using 2 populations approximation:
1 Ajvide58+La_Brana-1 @ 13,067549
2 La_Brana-1+La_Brana-1 @ 13,648682
3 La_Brana-1+StoraFörvar11 @ 14,212408
4 Ajvide70+La_Brana-1 @ 14,864002
5 Ajvide58+Ajvide58 @ 15,46899
6 Ajvide58+StoraFörvar11 @ 16,507336
7 Ajvide58+Ajvide70 @ 17,582195
8 Ajvide70+StoraFörvar11 @ 18,283785
9 Ajvide70+Ajvide70 @ 20,043609
10 StoraFörvar11+StoraFörvar11 @ 20,35721
11 La_Brana-1+MA-1 @ 24,243126
12 Gokhem2+StoraFörvar11 @ 25,601209
13 Ajvide58+MA-1 @ 26,303759
14 Ajvide58+Gokhem2 @ 26,479998
15 Gokhem2+La_Brana-1 @ 27,319347
16 Ajvide70+Gokhem2 @ 27,538198
17 Ajvide70+MA-1 @ 27,675788
18 Gokhem7+La_Brana-1 @ 28,758027
171 iterations.

Using 3 populations approximation:
1 50% La_Brana-1 +25% Ajvide58 +25% La_Brana-1 @ 12,962132
2 50% La_Brana-1 +25% La_Brana-1 +25% StoraFörvar11 @ 13,021131
3 50% Ajvide58 +25% La_Brana-1 +25% La_Brana-1 @ 13,067549
4 50% La_Brana-1 +25% Ajvide58 +25% StoraFörvar11 @ 13,144828
5 50% La_Brana-1 +25% Ajvide70 +25% La_Brana-1 @ 13,614077
6 50% La_Brana-1 +25% Ajvide58 +25% Ajvide70 @ 13,892573
7 50% La_Brana-1 +25% Ajvide70 +25% StoraFörvar11 @ 13,893144
8 50% Ajvide58 +25% Ajvide58 +25% La_Brana-1 @ 13,946986
9 50% Ajvide58 +25% La_Brana-1 +25% StoraFörvar11 @ 14,03698
10 50% La_Brana-1 +25% La_Brana-1 +25% MA-1 @ 14,041902
11 50% La_Brana-1 +25% StoraFörvar11 +25% StoraFörvar11 @ 14,212408
12 50% La_Brana-1 +25% Ajvide58 +25% MA-1 @ 14,450828
13 50% Ajvide70 +25% La_Brana-1 +25% La_Brana-1 @ 14,864002
14 50% Ajvide58 +25% Ajvide70 +25% La_Brana-1 @ 14,888846
15 50% StoraFörvar11 +25% Ajvide58 +25% La_Brana-1 @ 15,057739
16 50% La_Brana-1 +25% Ajvide70 +25% MA-1 @ 15,235603
17 50% Ajvide58 +25% La_Brana-1 +25% MA-1 @ 15,539996
18 50% Ajvide58 +25% Ajvide58 +25% StoraFörvar11 @ 15,566012
1889 iterations.

Using 4 populations approximation:
1 Ajvide58+La_Brana-1+La_Brana-1+La_Brana-1 @ 12,962132
2 La_Brana-1+La_Brana-1+La_Brana-1+StoraFörvar11 @ 13,021131
3 Ajvide58+Ajvide58+La_Brana-1+La_Brana-1 @ 13,067549
4 Ajvide58+La_Brana-1+La_Brana-1+StoraFörvar11 @ 13,144828
5 Ajvide70+La_Brana-1+La_Brana-1+La_Brana-1 @ 13,614077
6 La_Brana-1+La_Brana-1+La_Brana-1+La_Brana-1 @ 13,648682
7 Ajvide58+Ajvide70+La_Brana-1+La_Brana-1 @ 13,892573
8 Ajvide70+La_Brana-1+La_Brana-1+StoraFörvar11 @ 13,893144
9 Ajvide58+Ajvide58+Ajvide58+La_Brana-1 @ 13,946986
10 Ajvide58+Ajvide58+La_Brana-1+StoraFörvar11 @ 14,03698
11 La_Brana-1+La_Brana-1+La_Brana-1+MA-1 @ 14,041902
12 La_Brana-1+La_Brana-1+StoraFörvar11+StoraFörvar11 @ 14,212408
13 Ajvide58+La_Brana-1+La_Brana-1+MA-1 @ 14,450828
14 Ajvide70+Ajvide70+La_Brana-1+La_Brana-1 @ 14,864002
15 Ajvide58+Ajvide58+Ajvide70+La_Brana-1 @ 14,888846
16 Ajvide58+Ajvide70+La_Brana-1+StoraFörvar11 @ 14,905915
17 Ajvide58+La_Brana-1+StoraFörvar11+StoraFörvar11 @ 15,057739
18 Ajvide70+La_Brana-1+La_Brana-1+MA-1 @ 15,235603
19 Ajvide58+Ajvide58+Ajvide58+Ajvide58 @ 15,46899
20 Ajvide58+Ajvide58+La_Brana-1+MA-1 @ 15,539996
21 Ajvide58+Ajvide58+Ajvide58+StoraFörvar11 @ 15,566012
22 Ajvide70+La_Brana-1+StoraFörvar11+StoraFörvar11 @ 15,807441
23 Ajvide70+Ajvide70+La_Brana-1+StoraFörvar11 @ 15,906853
24 Ajvide58+Ajvide70+Ajvide70+La_Brana-1 @ 15,953973
25 La_Brana-1+La_Brana-1+MA-1+StoraFörvar11 @ 16,13379
26 Ajvide58+Ajvide70+La_Brana-1+MA-1 @ 16,422703
27 Ajvide58+Ajvide58+Ajvide58+Ajvide70 @ 16,473176
28 Ajvide58+Ajvide58+Ajvide70+StoraFörvar11 @ 16,503538
29 Ajvide58+Ajvide58+StoraFörvar11+StoraFörvar11 @ 16,507336
30 Ajvide58+Gokhem2+La_Brana-1+StoraFörvar11 @ 16,619635
31 Gokhem2+La_Brana-1+La_Brana-1+StoraFörvar11 @ 16,74465
32 La_Brana-1+StoraFörvar11+StoraFörvar11+StoraFörvar11 @ 16,84086
33 Gokhem2+La_Brana-1+StoraFörvar11+StoraFörvar11 @ 16,916509
34 Ajvide58+Ajvide58+Gokhem2+StoraFörvar11 @ 17,118846
35 Ajvide70+Ajvide70+Ajvide70+La_Brana-1 @ 17,119374
36 Ajvide58+Ajvide58+Gokhem2+La_Brana-1 @ 17,129992
2175 iterations.


Gaussian method.
Noise dispersion set to 0,33296

Using 1 population approximation:
1 Ajvide58 @ 7,7062
2 La_Brana-1 @ 8,221164
3 Ajvide70 @ 9,113234
4 StoraFörvar11 @ 14,451482
5 Lezgin @ 20,388293
6 Sardinian @ 49,899285
7 Evens @ 57,993785
8 Sakilli @ 58,164144
9 Gokhem7 @ 59,372337
10 Gokhem2 @ 59,651744
11 MA-1 @ 61,588664
12 Ethiopian_Ari_cultivator @ 71,201837
13 Yemenite_Jewish @ 78,846004
14 Dai @ 86,154954
15 Anzick-1 @ 108,262925
16 Yoruban @ 116,488316
17 Papuan @ 117,01384
18 Australian_Aboriginal @ 118,236813
18 iterations.

Using 2 populations approximation:
1 Ajvide58+La_Brana-1 @ 7,56194
2 Ajvide58+Ajvide58 @ 7,7062
3 Ajvide70+La_Brana-1 @ 8,157154
4 La_Brana-1+La_Brana-1 @ 8,221164
5 Ajvide58+Ajvide70 @ 8,226355
6 Ajvide70+Ajvide70 @ 9,113234
7 Ajvide58+StoraFörvar11 @ 9,334199
8 La_Brana-1+StoraFörvar11 @ 9,346446
9 Ajvide70+StoraFörvar11 @ 10,270674
10 La_Brana-1+MA-1 @ 10,29938
11 Ajvide58+MA-1 @ 11,346695
12 Ajvide58+Gokhem2 @ 11,671346
13 Gokhem2+StoraFörvar11 @ 11,691578
14 Ajvide70+MA-1 @ 12,096052
15 Ajvide58+Lezgin @ 12,379728
16 La_Brana-1+Lezgin @ 12,391513
17 Ajvide70+Gokhem2 @ 12,569682
18 Gokhem2+La_Brana-1 @ 12,584692
171 iterations.

Using 3 populations approximation:
1 50% Ajvide58 +25% La_Brana-1 +25% La_Brana-1 @ 7,56194
2 50% Ajvide58 +25% Ajvide58 +25% La_Brana-1 @ 7,562252
3 50% Ajvide58 +25% Ajvide70 +25% La_Brana-1 @ 7,673664
4 50% La_Brana-1 +25% Ajvide58 +25% Ajvide70 @ 7,691991
5 50% La_Brana-1 +25% Ajvide58 +25% La_Brana-1 @ 7,719852
6 50% Ajvide58 +25% Ajvide58 +25% Ajvide70 @ 7,815125
7 50% La_Brana-1 +25% Ajvide70 +25% La_Brana-1 @ 7,894188
8 50% Ajvide58 +25% La_Brana-1 +25% StoraFörvar11 @ 7,992379
9 50% La_Brana-1 +25% Ajvide58 +25% StoraFörvar11 @ 8,029902
10 50% La_Brana-1 +25% La_Brana-1 +25% MA-1 @ 8,090277
11 50% Ajvide70 +25% Ajvide58 +25% La_Brana-1 @ 8,098786
12 50% La_Brana-1 +25% Ajvide58 +25% MA-1 @ 8,098799
13 50% Ajvide70 +25% La_Brana-1 +25% La_Brana-1 @ 8,157154
14 50% Ajvide58 +25% Ajvide58 +25% StoraFörvar11 @ 8,165313
15 50% Ajvide58 +25% Ajvide70 +25% Ajvide70 @ 8,226355
16 50% Ajvide58 +25% La_Brana-1 +25% MA-1 @ 8,29816
17 50% La_Brana-1 +25% La_Brana-1 +25% StoraFörvar11 @ 8,311988
18 50% La_Brana-1 +25% Ajvide70 +25% MA-1 @ 8,39202
2907 iterations.

Using 4 populations approximation:
1 Ajvide58+Ajvide58+La_Brana-1+La_Brana-1 @ 7,56194
2 Ajvide58+Ajvide58+Ajvide58+La_Brana-1 @ 7,562252
3 Ajvide58+Ajvide58+Ajvide70+La_Brana-1 @ 7,673664
4 Ajvide58+Ajvide70+La_Brana-1+La_Brana-1 @ 7,691991
5 Ajvide58+Ajvide58+Ajvide58+Ajvide58 @ 7,7062
6 Ajvide58+La_Brana-1+La_Brana-1+La_Brana-1 @ 7,719852
7 Ajvide58+Ajvide58+Ajvide58+Ajvide70 @ 7,815125
8 Ajvide70+La_Brana-1+La_Brana-1+La_Brana-1 @ 7,894188
9 Ajvide58+Ajvide58+La_Brana-1+StoraFörvar11 @ 7,992379
10 Ajvide58+La_Brana-1+La_Brana-1+StoraFörvar11 @ 8,029902
11 La_Brana-1+La_Brana-1+La_Brana-1+MA-1 @ 8,090277
12 Ajvide58+Ajvide70+Ajvide70+La_Brana-1 @ 8,098786
13 Ajvide58+La_Brana-1+La_Brana-1+MA-1 @ 8,098799
14 Ajvide70+Ajvide70+La_Brana-1+La_Brana-1 @ 8,157154
15 Ajvide58+Ajvide58+Ajvide58+StoraFörvar11 @ 8,165313
16 La_Brana-1+La_Brana-1+La_Brana-1+La_Brana-1 @ 8,221164
17 Ajvide58+Ajvide58+Ajvide70+Ajvide70 @ 8,226355
18 Ajvide58+Ajvide58+La_Brana-1+MA-1 @ 8,29816
19 La_Brana-1+La_Brana-1+La_Brana-1+StoraFörvar11 @ 8,311988
20 Ajvide70+La_Brana-1+La_Brana-1+MA-1 @ 8,39202
21 Ajvide58+Ajvide70+La_Brana-1+StoraFörvar11 @ 8,406237
22 Ajvide70+La_Brana-1+La_Brana-1+StoraFörvar11 @ 8,481091
23 Ajvide70+Ajvide70+Ajvide70+La_Brana-1 @ 8,559228
24 Ajvide58+Ajvide58+Ajvide70+StoraFörvar11 @ 8,571768
25 Ajvide58+Ajvide70+La_Brana-1+MA-1 @ 8,579014
26 Ajvide58+Ajvide70+Ajvide70+Ajvide70 @ 8,650618
27 Ajvide58+Ajvide58+Ajvide58+MA-1 @ 8,696744
28 Ajvide58+Evens+La_Brana-1+La_Brana-1 @ 8,703459
29 Evens+La_Brana-1+La_Brana-1+La_Brana-1 @ 8,781444
30 Evens+La_Brana-1+La_Brana-1+StoraFörvar11 @ 8,787341
31 La_Brana-1+La_Brana-1+MA-1+StoraFörvar11 @ 8,828587
32 Ajvide70+Ajvide70+La_Brana-1+StoraFörvar11 @ 8,851605
33 Ajvide58+Ajvide58+Evens+La_Brana-1 @ 8,85379
34 Ajvide70+Ajvide70+La_Brana-1+MA-1 @ 8,900795
35 Ajvide58+Ajvide70+Ajvide70+StoraFörvar11 @ 8,989609
36 Ajvide58+Ajvide58+Ajvide70+MA-1 @ 8,999654
5985 iterations.

Europe was once inhabited by reindeer riding mongols.

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

Quote:

---

Originally Posted by Ukko

Europe was once inhabited by reindeer riding mongols.

---

Lol no farmer blood in your vains.

Quote:

---

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?

Quote:

---

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.

Quote:

---

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.

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

Quote:

---

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.

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.

Can someone help Davidski?

Quote:

---

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

Quote:

---

Originally Posted by HellLander87

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

---

Okay I just find it strange that on Least-squared method I get Ajvide58 as my top match and then on Gaussian method I get Lezgin as my top match.