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thank you
# Population Percent
1 Caucasus 39.46
2 Gedrosia 23.29
3 Southwest_Asian 14.58
4 Atlantic_Med 9.95
5 North_European 6.12
6 South_Asian 2.13
7 East_Asian 1.28
8 Siberian 0.97
9 Northwest_African 0.91
10 Sub_Saharan 0.7
11 Southeast_Asian 0.6
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Hello, Ibericus. I would appreciate it ( if you're still doing this) if you could put this into a cluster?
Kit Num: A009270
Threshold of components set to 1.000
Threshold of method set to 0.25%
Personal data has been read. 20 approximations mode.
Gedmatch.Com
Dodecad K12b 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: [email protected]
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.
The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.
Admix Results (sorted):
#
Population
Percent
1
North_European
43.85
2
Atlantic_Med
37.60
3
Caucasus
8.43
4
Gedrosia
8.04
5
Southwest_Asian
1.24
Finished reading population data. 223 populations found.
12 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Mixed_Germanic_Dodecad @ 3.683501
2 Dutch_Dodecad @ 4.804095
3 German_Dodecad @ 6.590741
4 Kent_1000Genomes @ 7.021341
5 CEU30_1000Genomes @ 7.091662
6 English_Dodecad @ 7.310202
7 British_Isles_Dodecad @ 8.395926
8 French_Dodecad @ 9.553480
9 Cornwall_1000Genomes @ 9.717855
10 British_Dodecad @ 9.893769
11 French_HGDP @ 10.132003
12 Argyll_1000Genomes @ 10.272372
13 Orkney_1000Genomes @ 10.564550
14 Irish_Dodecad @ 10.635317
15 Orcadian_HGDP @ 10.729045
16 Norwegian_Dodecad @ 13.890973
17 Hungarians_Behar @ 14.592116
18 Swedish_Dodecad @ 15.604038
19 Cataluna_1000Genomes @ 23.882904
20 Galicia_1000Genomes @ 24.318558
Using 2 populations approximation:
1 50% French_Dodecad +50% German_Dodecad @ 2.092093
Using 3 populations approximation:
1 50% British_Isles_Dodecad +25% Orkney_1000Genomes +25% Romanians_Behar @ 0.752500
Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++++++++
1 British_Isles_Dodecad + British_Isles_Dodecad + Orkney_1000Genomes + Romanians_Behar @ 0.752500
2 British_Isles_Dodecad + British_Isles_Dodecad + British_Isles_Dodecad + Romanians_Behar @ 0.877801
3 Dutch_Dodecad + Dutch_Dodecad + French_HGDP + Hungarians_Behar @ 0.888337
4 British_Isles_Dodecad + French_Dodecad + Hungarians_Behar + Mixed_Germanic_Dodecad @ 0.899458
5 CEU30_1000Genomes + Dutch_Dodecad + French_Dodecad + Hungarians_Behar @ 0.905275
6 British_Isles_Dodecad + French_HGDP + Hungarians_Behar + Mixed_Germanic_Dodecad @ 0.930921
7 CEU30_1000Genomes + French_Dodecad + Hungarians_Behar + Mixed_Germanic_Dodecad @ 0.938195
8 CEU30_1000Genomes + Dutch_Dodecad + French_HGDP + Hungarians_Behar @ 0.945935
9 British_Isles_Dodecad + British_Isles_Dodecad + Orcadian_HGDP + Romanians_Behar @ 0.952325
10 CEU30_1000Genomes + French_HGDP + Hungarians_Behar + Mixed_Germanic_Dodecad @ 0.958144
11 English_Dodecad + French_Dodecad + Hungarians_Behar + Mixed_Germanic_Dodecad @ 0.959017
12 Dutch_Dodecad + French_Dodecad + Hungarians_Behar + Kent_1000Genomes @ 0.960981
13 Cornwall_1000Genomes + Cornwall_1000Genomes + Norwegian_Dodecad + Romanians_Behar @ 0.964729
14 Dutch_Dodecad + English_Dodecad + French_Dodecad + Hungarians_Behar @ 0.976253
15 Dutch_Dodecad + French_HGDP + Hungarians_Behar + Kent_1000Genomes @ 0.982001
16 Dutch_Dodecad + English_Dodecad + French_HGDP + Hungarians_Behar @ 0.987174
17 Dutch_Dodecad + Dutch_Dodecad + French_Dodecad + Hungarians_Behar @ 0.990646
18 English_Dodecad + French_HGDP + Hungarians_Behar + Mixed_Germanic_Dodecad @ 1.012917
19 French_Dodecad + Hungarians_Behar + Kent_1000Genomes + Mixed_Germanic_Dodecad @ 1.041650
20 British_Isles_Dodecad + CEU30_1000Genomes + Orkney_1000Genomes + Romanians_Behar @ 1.041894
Done.
Elapsed time 0.2973 seconds.
Last edited by Gooding; 10-07-2018 at 10:38 PM. Reason: I'm just interested in being clustered. I already know I'm a clusterf** :D
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Received: 158/0 Given: 87/1 |
Hey Ibericus, this is Vasconcelos, long time no see!
Here are my results
1 Atlantic_Med 42.85
2 North_European 24.24
3 Caucasus 11.86
4 Northwest_African 6.7
5 Gedrosia 6.02
6 Southwest_Asian 5.56
7 East_African 1.63
8 Siberian 0.52
9 Sub_Saharan 0.33
10 Southeast_Asian 0.25
11 East_Asian 0.04
Hai, ne ls cunfines de la Ibéria, un pobo que nun se goberna nin se deixa gobernar.
23andme results
Global25 PCA West Eurasia dataset close up plot
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