World9 is only for individuals who are predominantly Native American, or have significant Native American ancestry.
Printable View
World9 is only for individuals who are predominantly Native American, or have significant Native American ancestry.
Oracle mix mode might be fun to look at but i wouldn't put much faith in it as far as ancestry goes. My ancestry is 100% from Portugal and my World9 mix-mode results are:Quote:
Originally Posted by lady
http://oi39.tinypic.com/mjpush.jpg
You say your ancestry is mostly Russian, but what is your other part of your ancestry ? the Oracle works based on the averages it has , so what this says is that you have more Med than the Russian average,Quote:
Originally Posted by lady
posted on wrong thread
Quote:
Originally Posted by Ibericus
My other ancestry is still unknown. Thats why I've posted a topic to classify my minor ancestry, given the Russian one. My mother has much darker eyes and looks more Med than me. My grandmother and her sister are even more Med, Dodecad World 9 is the only one test which showed Russian, other didn't even do that! I am sure I am not Ukrainian, Hungarian, Slovakian etc like other calculators say. All ancestors to 5 generations back lived in Russia and had very typical, classical Russian names.
Another guy on Gedmatch with silimar Dodecad results, similar matches, also mostly Russian ancestry, oracle shows the same Russian percentage as for me, but with Jews instead of Italians...
Thanks :)Quote:
Originally Posted by kamane
Still Dodecad is the only one who showed me my main ancestry, and you see Lithuanians in your results, too, which is your main one :)
My unknown ancestry could be for 5-10% if Middle-Eastern, or 10-15% if Greek/Balkans. My grandmother's parents came under political repressions and were departed to Siberia when she was little. All we know is that they were from rich families, well-educated. He (Gregory) could be fully Romanian/Bulgarian, 50% Greek or 25% Middle-Eastern. His wife, Cleopatra (we have only very bad quality photo) had dark curly hair and spoke French. Many calculators showed some French ancestry to me. My grandmother, Mariam (this name is also Christian!) could pass as Georgian/Chechen. My grandmother's sister was all her life taken for Jewess, she even married a 100% Jew.
I didn't expect Italy or Spain at all. There were no migration to Russia from these regions.
My father's side is northern Russians probably with Lithuanian/Polish/German influence.
Many people complain they couldn't find any "exotic" roots that are documeted, like Gypsy etc. To me better overrepresented, but learn something new about your ancestry. It is not worth paying money for test if it shows you boring results, and still incorrect.Quote:
Originally Posted by kamane
I have German blood for sure, certainly from Prussia. I have many matches from there, pretty many German last names. 2 of my top 5 matches are one fully German (Volga Germans- originally from Prussia) and one with Irish/Lithuanian/French roots. But enormous many Anglo-Saxons which are not so close.
Gedmatch results.
Dodecad K12b Oracle
Admix Results (sorted):
# Population Percent
1 Atlantic_Med 48.21
2 North_European 22.2
3 Caucasus 9.87
4 Gedrosia 5.74
5 Southwest_Asian 5.34
6 Northwest_African 5.1
7 East_African 1.69
8 South_Asian 1.11
9 Siberian 0.59
10 Sub_Saharan 0.17
Single Population Sharing:
# Population (source) Distance
1 Galicia (1000Genomes) 2
2 Extremadura (1000Genomes) 2.24
3 Portuguese (Dodecad) 3.19
4 Castilla_Y_Leon (1000Genomes) 3.56
5 Murcia (1000Genomes) 4.2
6 Baleares (1000Genomes) 4.8
7 Spanish (Dodecad) 4.89
8 Spaniards (Behar) 5.75
9 Cataluna (1000Genomes) 6.06
10 Castilla_La_Mancha (1000Genomes) 6.37
11 Andalucia (1000Genomes) 6.83
12 Cantabria (1000Genomes) 7.17
13 Valencia (1000Genomes) 7.94
14 Canarias (1000Genomes) 8.07
15 Aragon (1000Genomes) 8.23
16 North_Italian (HGDP) 13.1
17 N_Italian (Dodecad) 13.98
18 French (HGDP) 14.94
19 French (Dodecad) 15.25
20 TSI30 (Metspalu) 19.64
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 58% Galicia (1000Genomes) + 42% Extremadura (1000Genomes) @ 1.69
2 98.9% Galicia (1000Genomes) + 1.1% Somali (Dodecad) @ 1.7
3 98.9% Galicia (1000Genomes) + 1.1% MKK30 (Dodecad) @ 1.74
4 98.8% Galicia (1000Genomes) + 1.2% Ethiopian_Jews (Behar) @ 1.74
5 99% Galicia (1000Genomes) + 1% Sandawe_He (Henn) @ 1.75
6 98.8% Galicia (1000Genomes) + 1.2% Ethiopians (Behar) @ 1.75
7 98.8% Galicia (1000Genomes) + 1.2% Brahui (HGDP) @ 1.76
8 89.6% Galicia (1000Genomes) + 10.4% Canarias (1000Genomes) @ 1.77
9 98.8% Galicia (1000Genomes) + 1.2% Iyer (Dodecad) @ 1.78
10 98.9% Galicia (1000Genomes) + 1.1% Velamas (Metspalu) @ 1.79
11 98.7% Galicia (1000Genomes) + 1.3% Sindhi (HGDP) @ 1.8
12 98.9% Galicia (1000Genomes) + 1.1% GIH30 (Dodecad) @ 1.8
13 98.9% Galicia (1000Genomes) + 1.1% Tamil_Nadu_Scheduled_Caste (Metspalu) @ 1.8
14 99% Galicia (1000Genomes) + 1% Kurumba (Metspalu) @ 1.8
15 98.8% Galicia (1000Genomes) + 1.2% Balochi (HGDP) @ 1.8
16 98.9% Galicia (1000Genomes) + 1.1% INS30 (SGVP) @ 1.8
17 98.8% Galicia (1000Genomes) + 1.2% Makrani (HGDP) @ 1.8
18 98.8% Galicia (1000Genomes) + 1.2% Brahmins_from_Tamil_Nadu (Metspalu) @ 1.8
19 98.9% Galicia (1000Genomes) + 1.1% Iyengar (Dodecad) @ 1.8
20 99% Galicia (1000Genomes) + 1% Piramalai_Kallars (Metspalu) @ 1.8
Dodecad K12b 4-Ancestors Oracle
Least-squares method.
Using 1 population approximation:
1 Galicia @ 1.947
2 Extremadura @ 2.292
3 Portuguese @ 3.318
4 Castilla_Y_Leon @ 3.406
5 Murcia @ 4.297
6 Spanish @ 4.817
7 Baleares @ 5.069
8 Spaniards @ 5.756
9 Cataluna @ 6.156
10 Castilla_La_Mancha @ 6.542
223 iterations.
Using 2 populations approximation:
1 50% Extremadura +50% Galicia @ 1.633
2 50% Galicia +50% Galicia @ 1.947
3 50% Castilla_Y_Leon +50% Galicia @ 2.017
4 50% Galicia +50% Portuguese @ 2.051
5 50% Extremadura +50% Extremadura @ 2.292
6 50% Castilla_Y_Leon +50% Extremadura @ 2.332
7 50% Galicia +50% Murcia @ 2.341
8 50% Extremadura +50% Portuguese @ 2.526
9 50% Galicia +50% Spanish @ 2.529
10 50% Castilla_Y_Leon +50% Portuguese @ 2.591
24976 iterations.
Using 3 populations approximation:
1 50% Galicia +25% Castilla_Y_Leon +25% Extremadura @ 1.619
2 50% Extremadura +25% Galicia +25% Galicia @ 1.633
3 50% Galicia +25% Extremadura +25% Extremadura @ 1.633
4 50% Galicia +25% Extremadura +25% Galicia @ 1.663
5 50% Galicia +25% Castilla_La_Mancha +25% Portuguese @ 1.665
6 50% Galicia +25% Extremadura +25% Murcia @ 1.721
7 50% Galicia +25% Extremadura +25% Spanish @ 1.725
8 50% Galicia +25% Canarias +25% Cataluna @ 1.729
9 50% Galicia +25% Castilla_Y_Leon +25% Portuguese @ 1.729
10 50% Galicia +25% Extremadura +25% Portuguese @ 1.732
705033 iterations.
Using 4 populations approximation:
1 Castilla_Y_Leon + Extremadura + Galicia + Galicia @ 1.619
2 Extremadura + Extremadura + Galicia + Galicia @ 1.633
3 Extremadura + Galicia + Galicia + Galicia @ 1.663
4 Castilla_La_Mancha + Galicia + Galicia + Portuguese @ 1.665
5 Extremadura + Galicia + Galicia + Murcia @ 1.721
6 Extremadura + Galicia + Galicia + Spanish @ 1.725
7 Canarias + Cataluna + Galicia + Galicia @ 1.729
8 Castilla_Y_Leon + Galicia + Galicia + Portuguese @ 1.729
9 Extremadura + Galicia + Galicia + Portuguese @ 1.732
10 Castilla_Y_Leon + Galicia + Galicia + Galicia @ 1.739
11 Castilla_Y_Leon + Extremadura + Extremadura + Galicia @ 1.773
12 Galicia + Galicia + Portuguese + Spanish @ 1.774
13 Galicia + Galicia + Galicia + Portuguese @ 1.789
14 Galicia + Galicia + Galicia + Murcia @ 1.795
15 Castilla_La_Mancha + Extremadura + Galicia + Galicia @ 1.803
16 Galicia + Galicia + Galicia + Spanish @ 1.822
17 Galicia + Galicia + Murcia + Portuguese @ 1.825
18 Castilla_La_Mancha + Extremadura + Galicia + Portuguese @ 1.838
19 Castilla_Y_Leon + Extremadura + Galicia + Portuguese @ 1.847
20 Castilla_La_Mancha + Galicia + Galicia + Galicia @ 1.863
2485816 iterations.
Dodecad K12b Oracle-x Population Fitting
Pct. Calc. Option 1
0 Unable to determine 0.14%
1 Galicia 88.59%
2 French_Basque 7.36%
3 Somali 1.24%
4 Brahmins_from_Uttar_Pradesh 0.93%
5 Nganassan 0.56%
6 Mozabite 0.53%
7 Saudis 0.34%
8 Brahui 0.19%
9 Finnish 0.10%
10 Santhal 0.02%
Pct. Calc. Option 2
1 Galicia 77.50%
2 French_Basque 8.65%
3 Moroccan 5.17%
4 British_Isles 3.10%
5 Romanians 2.14%
6 Brahui 1.11%
7 North_Italian 1.11%
8 Somali 1.11%
9 Nganassan 0.11%
10 Dhurwa 0.00%
Dodecad K7b Oracle
Admix Results (sorted):
# Population Percent
1 Atlantic_Baltic 59.79
2 Southern 29.88
3 West_Asian 6.55
4 African 1.98
5 South_Asian 1.38
6 Siberian 0.43
Single Population Sharing:
# Population (source) Distance
1 Portuguese (Dodecad) 0.78
2 Galicia (1000Genomes) 1.41
3 Extremadura (1000Genomes) 1.62
4 Andalucia (1000Genomes) 2.07
5 Murcia (1000Genomes) 2.18
6 Castilla_Y_Leon (1000Genomes) 2.39
7 Baleares (1000Genomes) 2.88
8 Spanish (Dodecad) 3.25
9 Castilla_La_Mancha (1000Genomes) 3.26
10 Spaniards (Behar) 3.89
11 Valencia (1000Genomes) 5.09
12 Aragon (1000Genomes) 5.28
13 Canarias (1000Genomes) 6.07
14 Cataluna (1000Genomes) 6.09
15 Cantabria (1000Genomes) 6.13
16 North_Italian (HGDP) 8.28
17 N_Italian (Dodecad) 9.63
18 French (Dodecad) 13.62
19 Pais_Vasco (1000Genomes) 13.78
20 French (HGDP) 13.93
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 99.7% Portuguese (Dodecad) + 0.3% Nganassan (Rasmussen) @ 0.67
2 99.5% Portuguese (Dodecad) + 0.5% Ket (Rasmussen) @ 0.67
3 99.5% Portuguese (Dodecad) + 0.5% Selkup (Rasmussen) @ 0.67
4 99.6% Portuguese (Dodecad) + 0.4% Dolgan (Rasmussen) @ 0.67
5 87.5% Portuguese (Dodecad) + 12.5% Baleares (1000Genomes) @ 0.67
6 99.6% Portuguese (Dodecad) + 0.4% Yukagir (Rasmussen) @ 0.67
7 99.6% Portuguese (Dodecad) + 0.4% Evenk (Rasmussen) @ 0.67
8 99.6% Portuguese (Dodecad) + 0.4% Yakut (HGDP) @ 0.67
9 76.2% Portuguese (Dodecad) + 23.8% Galicia (1000Genomes) @ 0.68
10 83.6% Portuguese (Dodecad) + 16.4% Andalucia (1000Genomes) @ 0.68
11 99.6% Portuguese (Dodecad) + 0.4% Tuva (Rasmussen) @ 0.69
12 99.6% Portuguese (Dodecad) + 0.4% Buryat (Rasmussen) @ 0.7
13 99.5% Portuguese (Dodecad) + 0.5% Altai (Rasmussen) @ 0.7
14 99.6% Portuguese (Dodecad) + 0.4% Mongol (Rasmussen) @ 0.71
15 99.7% Portuguese (Dodecad) + 0.3% Oroqen (HGDP) @ 0.71
16 86.8% Portuguese (Dodecad) + 13.2% Murcia (1000Genomes) @ 0.72
17 88.3% Portuguese (Dodecad) + 11.7% Castilla_Y_Leon (1000Genomes) @ 0.72
18 99.2% Portuguese (Dodecad) + 0.8% Chuvashs (Behar) @ 0.72
19 91.4% Portuguese (Dodecad) + 8.6% Castilla_La_Mancha (1000Genomes) @ 0.72
20 96.7% Portuguese (Dodecad) + 3.3% North_Italian (HGDP) @ 0.73
Dodecad K7b 4-Ancestors Oracle
Least-squares method.
Using 1 population approximation:
1 Galicia @ 1.005
2 Andalucia @ 1.199
3 Extremadura @ 1.592
4 Castilla_Y_Leon @ 1.770
5 Portuguese @ 1.834
6 Murcia @ 1.974
7 Castilla_La_Mancha @ 2.387
8 Spanish @ 2.518
9 Baleares @ 2.563
10 Spaniards @ 3.362
223 iterations.
Using 2 populations approximation:
1 50% Murcia +50% Spanish @ 0.715
2 50% Canarias +50% Cataluna @ 0.800
3 50% Castilla_La_Mancha +50% Murcia @ 0.860
4 50% Andalucia +50% Castilla_Y_Leon @ 0.870
5 50% Castilla_Y_Leon +50% Murcia @ 0.905
6 50% Andalucia +50% Galicia @ 0.943
7 50% Galicia +50% Galicia @ 1.005
8 50% Andalucia +50% Portuguese @ 1.038
9 50% Castilla_Y_Leon +50% Galicia @ 1.072
10 50% Castilla_Y_Leon +50% Extremadura @ 1.104
24976 iterations.
Using 3 populations approximation:
1 50% Spaniards +25% Canarias +25% Castilla_Y_Leon @ 0.458
2 50% Castilla_La_Mancha +25% Canarias +25% Spaniards @ 0.483
3 50% Valencia +25% Canarias +25% Murcia @ 0.501
4 50% Spanish +25% Baleares +25% Canarias @ 0.571
5 50% Extremadura +25% Canarias +25% Cantabria @ 0.575
6 50% Galicia +25% Canarias +25% Valencia @ 0.581
7 50% Spanish +25% Canarias +25% Spaniards @ 0.588
8 50% Spaniards +25% Canarias +25% Castilla_La_Mancha @ 0.592
9 50% Spaniards +25% Canarias +25% Spanish @ 0.621
10 50% Galicia +25% Canarias +25% Cantabria @ 0.624
444638 iterations.
Using 4 populations approximation:
1 Andalucia + Canarias + Spaniards + Valencia @ 0.354
2 Canarias + Murcia + Spaniards + Valencia @ 0.366
3 Baleares + Canarias + Spanish + Valencia @ 0.371
4 Baleares + Canarias + Cantabria + Extremadura @ 0.394
5 Baleares + Canarias + Cantabria + Galicia @ 0.401
6 Canarias + Cantabria + Murcia + Spaniards @ 0.406
7 Baleares + Canarias + Castilla_La_Mancha + Valencia @ 0.433
8 Andalucia + Canarias + Spaniards + Spanish @ 0.440
9 Andalucia + Canarias + Cantabria + Extremadura @ 0.446
10 Canarias + Galicia + Spaniards + Spanish @ 0.447
11 Canarias + Castilla_La_Mancha + Galicia + Spaniards @ 0.448
12 Canarias + Castilla_Y_Leon + Spaniards + Spaniards @ 0.458
13 Aragon + Canarias + Extremadura + Spaniards @ 0.460
14 Andalucia + Aragon + Canarias + Spaniards @ 0.465
15 Canarias + Castilla_La_Mancha + Extremadura + Valencia @ 0.467
16 Andalucia + Canarias + Spanish + Valencia @ 0.474
17 Andalucia + Canarias + Castilla_La_Mancha + Valencia @ 0.479
18 Aragon + Baleares + Canarias + Spaniards @ 0.479
19 Canarias + Castilla_La_Mancha + Castilla_La_Mancha + Spaniards @ 0.483
20 Baleares + Canarias + Castilla_Y_Leon + Valencia @ 0.486
1231137 iterations.
Dodecad K7b Oracle-x Population Fitting
Pct. Calc. Option 1
1 Portuguese 99.38%
2 Selkup 0.45%
3 C_Italian 0.17%
4 Altai 0.00%
5 Uygur 0.00%
6 Hazara 0.00%
7 Ashkenazi 0.00%
8 Uzbeks 0.00%
9 Ashkenazy_Jews 0.00%
10 Greek 0.00%
Pct. Calc. Option 2
1 Portuguese 98.34%
2 Cataluna 0.41%
3 Chuvashs 0.30%
4 Sardinian 0.30%
5 C_Italian 0.20%
6 French_Basque 0.11%
7 Selkup 0.11%
8 Altai 0.11%
9 TSI30 0.11%
10 Uzbeks 0.01%
World9 Oracle
Admix Results (sorted):
# Population Percent
1 Atlantic_Baltic 60.69
2 Southern 28.37
3 Caucasus_Gedrosia 6.91
4 African 1.9
5 South_Asian 1.45
6 Amerindian 0.26
7 Australasian 0.25
8 Siberian 0.17
Single Population Sharing:
# Population (source) Distance
1 Portuguese (Dodecad) 1.06
2 Extremadura (1000 Genomes) 1.22
3 Galicia (1000 Genomes) 1.48
4 Andalucia (1000 Genomes) 1.72
5 Castilla_La_Mancha (1000 Genomes) 2.2
6 Castilla_Y_Leon (1000 Genomes) 2.43
7 Baleares (1000 Genomes) 3.06
8 Spaniards (Behar) 3.21
9 Murcia (1000 Genomes) 3.24
10 Spanish (Dodecad) 4.14
11 Valencia (1000 Genomes) 4.16
12 Cataluna (1000 Genomes) 5.74
13 Aragon (1000 Genomes) 5.86
14 Canarias (1000 Genomes) 6.01
15 Cantabria (1000 Genomes) 6.27
16 North_Italian (HGDP) 7.72
17 N_Italian (Dodecad) 8.56
18 Brazilian (Dodecad) 9.93
19 French (Dodecad) 12.16
20 French (HGDP) 12.96
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 97.8% Galicia (1000 Genomes) + 2.2% Egyptans (Behar) @ 0.68
2 97.9% Galicia (1000 Genomes) + 2.1% Yemenese (Behar) @ 0.68
3 97.5% Galicia (1000 Genomes) + 2.5% Mozabite @ 0.69
4 97.6% Galicia (1000 Genomes) + 2.4% Moroccans (Behar) @ 0.71
5 96.7% Castilla_La_Mancha (1000 Genomes) + 3.3% Yemenese (Behar) @ 0.71
6 99.1% Portuguese (Dodecad) + 0.9% Kurumba (Metspalu) @ 0.72
7 99.1% Portuguese (Dodecad) + 0.9% Kanjars (Metspalu) @ 0.73
8 99.1% Portuguese (Dodecad) + 0.9% Piramalai_Kallars (Metspalu) @ 0.73
9 99.2% Portuguese (Dodecad) + 0.8% SAKILLI @ 0.73
10 99.2% Portuguese (Dodecad) + 0.8% Sakilli (Chaubey) @ 0.73
11 99.1% Portuguese (Dodecad) + 0.9% Uttar_Pradesh_Scheduled_Caste (Metspalu) @ 0.73
12 99.1% Portuguese (Dodecad) + 0.9% Velamas (Metspalu) @ 0.73
13 99.1% Portuguese (Dodecad) + 0.9% INS30 (SGVP) @ 0.73
14 99.1% Portuguese (Dodecad) + 0.9% Tamil_Nadu_Scheduled_Caste (Metspalu) @ 0.73
15 99% Portuguese (Dodecad) + 1% Dharkars (Metspalu) @ 0.73
16 99% Portuguese (Dodecad) + 1% Cochin_Jews (Behar) @ 0.73
17 99% Portuguese (Dodecad) + 1% Brahmins_from_Tamil_Nadu (Metspalu) @ 0.73
18 99% Portuguese (Dodecad) + 1% GIH30 (Dodecad) @ 0.73
19 99% Portuguese (Dodecad) + 1% Muslim (Metspalu) @ 0.73
20 98.9% Portuguese (Dodecad) + 1.1% Bnei_Menashe_Jews @ 0.73
World9 4-Ancestors Oracle
Least-squares method.
Using 1 population approximation:
1 Portuguese @ 1.111
2 Galicia @ 1.381
3 Extremadura @ 1.385
4 Andalucia @ 1.837
5 Castilla_La_Mancha @ 2.108
6 Castilla_Y_Leon @ 2.387
7 Spaniards @ 3.247
8 Baleares @ 3.295
9 Murcia @ 3.698
10 Valencia @ 4.266
250 iterations.
Using 2 populations approximation:
1 50% Portuguese +50% Galicia @ 1.041
2 50% Portuguese +50% Extremadura @ 1.103
3 50% Canarias +50% Cataluna @ 1.105
4 50% Portuguese +50% Portuguese @ 1.111
5 50% Portuguese +50% Andalucia @ 1.186
6 50% Galicia +50% Extremadura @ 1.234
7 50% Galicia +50% Andalucia @ 1.261
8 50% Portuguese +50% Castilla_La_Mancha @ 1.334
9 50% Valencia +50% Murcia @ 1.367
10 50% Galicia +50% Galicia @ 1.381
31375 iterations.
Using 3 populations approximation:
1 50% Galicia +25% Galicia +25% Murcia @ 0.811
2 50% Galicia +25% Portuguese +25% Murcia @ 0.868
3 50% Galicia +25% Murcia +25% Extremadura @ 0.907
4 50% Galicia +25% Murcia +25% Castilla_La_Mancha @ 0.916
5 50% Galicia +25% Canarias +25% Valencia @ 0.947
6 50% Galicia +25% Murcia +25% Castilla_Y_Leon @ 0.948
7 50% Galicia +25% Spaniards +25% Canarias @ 0.959
8 50% Galicia +25% Canarias +25% Cataluna @ 0.978
9 50% Portuguese +25% Galicia +25% Andalucia @ 0.991
10 50% Galicia +25% Spanish +25% Canarias @ 1.002
521049 iterations.
Using 4 populations approximation:
1 Galicia + Galicia + Galicia + Murcia @ 0.811
2 Portuguese + Galicia + Galicia + Murcia @ 0.868
3 Galicia + Galicia + Murcia + Extremadura @ 0.907
4 Galicia + Galicia + Murcia + Castilla_La_Mancha @ 0.916
5 Portuguese + Galicia + Murcia + Castilla_La_Mancha @ 0.927
6 Galicia + Murcia + Extremadura + Castilla_Y_Leon @ 0.932
7 Galicia + Murcia + Extremadura + Castilla_La_Mancha @ 0.932
8 Canarias + Galicia + Galicia + Valencia @ 0.947
9 Galicia + Galicia + Murcia + Castilla_Y_Leon @ 0.948
10 Spaniards + Canarias + Galicia + Galicia @ 0.959
11 Portuguese + Canarias + Galicia + Cataluna @ 0.962
12 Canarias + Galicia + Galicia + Cataluna @ 0.978
13 Canarias + Galicia + Cataluna + Extremadura @ 0.986
14 Portuguese + Galicia + Murcia + Castilla_Y_Leon @ 0.990
15 Portuguese + Portuguese + Galicia + Andalucia @ 0.991
16 Spanish + Canarias + Galicia + Galicia @ 1.002
17 Canarias + Galicia + Valencia + Extremadura @ 1.006
18 Portuguese + Murcia + Extremadura + Castilla_La_Mancha @ 1.009
19 Spaniards + Canarias + Galicia + Castilla_La_Mancha @ 1.010
20 Murcia + Extremadura + Extremadura + Castilla_Y_Leon @ 1.016
1752496 iterations.
World9 Oracle-x Population Fitting
Pct. Calc. Option 1
1 Portuguese 97.88%
2 Sardinian 1.12%
3 Meghawal 0.71%
4 Bnei_Menashe_Jews 0.22%
5 WestGreenland 0.07%
6 S_Italian_Sicilian 0.00%
7 Ashkenazy_Jews 0.00%
8 S_Italian 0.00%
9 Ashkenazi 0.00%
10 Sephardic_Jews 0.00%
Pct. Calc. Option 2
1 Portuguese 97.87%
2 Meghawal 0.68%
3 TSI30 0.61%
4 Sardinian 0.31%
5 Aleut 0.20%
6 Bnei_Menashe_Jews 0.11%
7 Yemen_Jews 0.11%
8 Romanians 0.11%
9 WestGreenland 0.00%
10 Morocco_Jews 0.00%
Dodecad V3 Oracle
Admix Results (sorted):
# Population Percent
1 West_European 39.48
2 Mediterranean 34.51
3 West_Asian 7.89
4 Southwest_Asian 5.97
5 Northwest_African 4.99
6 East_European 4.25
7 East_African 1.29
8 Neo_African 0.78
9 Southeast_Asian 0.42
10 Palaeo_African 0.3
11 Northeast_Asian 0.14
Single Population Sharing:
# Population (source) Distance
1 Portuguese (Dodecad) 10.51
2 French (Dodecad) 12.51
3 French (HGDP) 12.68
4 N_Italian (Dodecad) 12.88
5 Tuscan (Henn) 12.94
6 TSI (HapMap) 13.49
7 Tuscan (Xing) 13.56
8 IBS (1000Genomes) 13.82
9 Spaniards (Behar) 13.92
10 Spanish (Dodecad) 14.24
11 North_Italian (HGDP) 16.48
12 O_Italian (Dodecad) 17.57
13 CEU (HapMap) 17.71
14 French_Basque (HGDP) 18.03
15 N._European (Xing) 18.8
16 Tuscan (HGDP) 19.63
17 Orcadian (HGDP) 19.74
18 Argyll (1000 Genomes) 20.02
19 Orkney (1000 Genomes) 20.05
20 Slovenian (Xing) 20.14
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 76.6% French (HGDP) + 23.4% North_African (Dodecad) @ 3.36
2 77.6% French (Dodecad) + 22.4% Egypt (Henn) @ 3.62
3 77.2% French (Dodecad) + 22.8% Libya (Henn) @ 3.64
4 70.4% French (Dodecad) + 29.6% Morocco_Jews (Behar) @ 3.93
5 77.1% French (HGDP) + 22.9% Libya (Henn) @ 3.99
6 75.1% French (HGDP) + 24.9% Morocco_N (Henn) @ 4.1
7 76.2% French (HGDP) + 23.8% Algeria (Henn) @ 4.24
8 77.6% French (HGDP) + 22.4% Egypt (Henn) @ 4.32
9 78.8% French (HGDP) + 21.2% TUNISIA (Henn) @ 4.63
10 80.3% French (HGDP) + 19.7% Sahara_OCC (Henn) @ 4.83
11 73.9% French (Dodecad) + 26.1% Sephardic_Jews (Behar) @ 4.83
12 70.6% French (HGDP) + 29.4% Morocco_Jews (Behar) @ 4.84
13 78.8% French (Dodecad) + 21.2% Palestinian (HGDP) @ 4.87
14 80.7% French (HGDP) + 19.3% Moroccans (Behar) @ 5.02
15 79.7% French (Dodecad) + 20.3% Jordanians_19 (Behar) @ 5.06
16 79.3% French (Dodecad) + 20.7% Lebanese (Behar) @ 5.18
17 80% French (HGDP) + 20% Egyptans (Behar) @ 5.18
18 73.8% French (HGDP) + 26.2% Sephardic_Jews (Behar) @ 5.22
19 80% French (Dodecad) + 20% Samaritians (Behar) @ 5.45
20 51% French (Dodecad) + 49% Tuscan (Henn) @ 5.71
Dodecad V3 4-Ancestors Oracle
Least-squares method.
Using 1 population approximation:
1 Portuguese @ 11.356
2 French @ 13.442
3 French @ 13.638
4 N_Italian @ 14.137
5 Tuscan @ 14.791
6 IBS @ 14.833
7 Spaniards @ 14.876
8 Spanish @ 15.298
9 TSI @ 15.424
10 Tuscan @ 15.578
227 iterations.
Using 2 populations approximation:
1 50% French +50% Tuscan @ 6.052
2 50% French +50% Tuscan @ 6.197
3 50% Sardinian +50% N._European @ 6.432
4 50% French +50% Tuscan @ 6.558
5 50% French +50% TSI @ 6.654
6 50% French +50% Tuscan @ 6.758
7 50% French +50% TSI @ 7.239
8 50% Sardinian +50% Argyll @ 7.343
9 50% French +50% O_Italian @ 7.544
10 50% German +50% Sardinian @ 7.565
25878 iterations.
Using 3 populations approximation:
1 50% Portuguese +25% Morocco_Jews +25% Norwegian @ 1.563
2 50% Portuguese +25% Morocco_Jews +25% Swedish @ 1.571
3 50% IBS +25% Morocco_Jews +25% Swedish @ 2.435
4 50% Portuguese +25% Norwegian +25% Sephardic_Jews @ 2.473
5 50% Spanish +25% Morocco_Jews +25% Swedish @ 2.503
6 50% Portuguese +25% Ashkenazi +25% Swedish @ 2.528
7 50% Portuguese +25% Ashkenazi +25% Norwegian @ 2.530
8 50% Portuguese +25% Sephardic_Jews +25% Swedish @ 2.613
9 50% IBS +25% Morocco_Jews +25% Norwegian @ 2.766
10 50% Portuguese +25% Ashkenazy_Jews +25% Norwegian @ 2.800
600299 iterations.
Using 4 populations approximation:
1 Morocco_Jews + Portuguese + Spanish + Swedish @ 1.452
2 IBS + Morocco_Jews + Portuguese + Swedish @ 1.517
3 Morocco_Jews + Norwegian + Portuguese + Portuguese @ 1.563
4 Morocco_Jews + Portuguese + Portuguese + Swedish @ 1.571
5 Morocco_Jews + Portuguese + Spaniards + Swedish @ 1.708
6 IBS + Morocco_Jews + Norwegian + Portuguese @ 1.774
7 Morocco_Jews + Norwegian + Portuguese + Spanish @ 1.806
8 Morocco_Jews + Norwegian + Portuguese + Spaniards @ 2.147
9 IBS + IBS + Morocco_Jews + Swedish @ 2.435
10 IBS + Morocco_Jews + Spanish + Swedish @ 2.448
11 Norwegian + Portuguese + Portuguese + Sephardic_Jews @ 2.473
12 Morocco_Jews + Spanish + Spanish + Swedish @ 2.503
13 Ashkenazi + Portuguese + Portuguese + Swedish @ 2.528
14 Ashkenazi + Norwegian + Portuguese + Portuguese @ 2.530
15 Portuguese + Portuguese + Sephardic_Jews + Swedish @ 2.613
16 IBS + Morocco_Jews + Spaniards + Swedish @ 2.649
17 Morocco_Jews + Spaniards + Spanish + Swedish @ 2.719
18 IBS + IBS + Morocco_Jews + Norwegian @ 2.766
19 French + Morocco_Jews + Orkney + Portuguese @ 2.778
20 CEU + French + Morocco_Jews + Portuguese @ 2.79
1441507 iterations.
Dodecad V3 Oracle-x Population Fitting
Pct. Calc. Option 1
1 French_Basque 68.88%
2 Adygei 8.95%
3 Saudis 6.43%
4 Mozabite 5.28%
5 Lithuanian 4.98%
6 Algeria 2.55%
7 Cypriots 1.51%
8 East_African 1.31%
9 Iban 0.11%
10 Morocco_S 0.00%
Pct. Calc. Option 2
0 Unable to determine 0.06%
1 French_Basque 34.49%
2 Spaniards 23.01%
3 Adygei 8.02%
4 Spanish 6.45%
5 Saudis 6.08%
6 Mozabite 5.66%
7 Norwegian 4.62%
8 Lithuanian 4.59%
9 Sardinian 4.19%
10 Ethiopian_Jews 2.85%
K7b is the most accurate.
My Dodecad V3
1 57.1% Ashkenazy_Jews (Behar) + 42.9% German (Dodecad) @ 2.21
2 54.6% Ashkenazi (Dodecad) + 45.4% German (Dodecad) @ 2.78
3 63.5% German (Dodecad) + 36.5% Cypriots (Behar) @ 3.46
4 52.5% German (Dodecad) + 47.5% Morocco_Jews (Behar) @ 3.53
5 79.3% Tuscan (Xing) + 20.7% Finnish (Dodecad) @ 3.56
6 64% German (Dodecad) + 36% Druze (HGDP) @ 3.78
7 52.9% Slovenian (Xing) + 47.1% Ashkenazy_Jews (Behar) @ 3.92
8 55.5% Slovenian (Xing) + 44.5% Ashkenazi (Dodecad) @ 3.93
9 58.5% Ashkenazy_Jews (Behar) + 41.5% Argyll (1000 Genomes) @ 3.97
10 67% Ashkenazi (Dodecad) + 33% FIN (1000Genomes) @ 3.98
11 78.2% TSI (HapMap) + 21.8% Finnish (Dodecad) @ 4.01
12 69.3% Ashkenazy_Jews (Behar) + 30.7% FIN (1000Genomes) @ 4.09
13 57.1% Ashkenazy_Jews (Behar) + 42.9% N._European (Xing) @ 4.15
14 78.8% Tuscan (Henn) + 21.2% Finnish (Dodecad) @ 4.34
15 56.9% Ashkenazy_Jews (Behar) + 43.1% CEU (HapMap) @ 4.35
16 64.4% German (Dodecad) + 35.6% Samaritians (Behar) @ 4.37
17 68.3% Ashkenazy_Jews (Behar) + 31.7% Swedish (Dodecad) @ 4.37
18 59.6% Ashkenazy_Jews (Behar) + 40.4% Orkney (1000 Genomes) @ 4.41
19 59.3% Ashkenazy_Jews (Behar) + 40.7% Orcadian (HGDP) @ 4.42
20 62.7% Slovenian (Xing) + 37.3% Morocco_Jews (Behar) @ 4.45
neat! I'll check mine out