I am wondering if there is a study done with the French being divided in North/South? Or if anyone got the specific French samples in some of the dodecad studies. Pallantides posted one but the link is broken.
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I am wondering if there is a study done with the French being divided in North/South? Or if anyone got the specific French samples in some of the dodecad studies. Pallantides posted one but the link is broken.
"French" is from Lyon. "French_D" are individual french people who submited their data to the Dodecad project, they could be from all over.Quote:
Originally Posted by WOOHP
So you don't know of a study which divided France in South/North or maybe even by region? And what about the individual samples from "French_D". Do you have anything like this but for the French?Quote:
Originally Posted by Alex Delarge
http://img593.imageshack.us/img593/3...inaviand10.png
No, the only ethnicity that is usually divided on genetic studies is the italians.Quote:
Originally Posted by WOOHP
Go here and download population portraits:
http://dodecad.blogspot.pt/2012/01/k...lculators.html
Thanks, but it seems like you can't download portraits from other Dodecad studies than just these two? I'm particularly interested in the K=10 and K=12a, just the portraits.Quote:
Originally Posted by Alex Delarge
If it isn't on the blog entry of each study then he didn't publish them.Quote:
Originally Posted by WOOHP
the MLDP project has a Provençal sampleQuote:
Originally Posted by WOOHP
Where can I find it?Quote:
Originally Posted by Ibericus
I would really appreciate it if someone could post the link of the MLDP study, with the Provençal sample.
Dodecad K7b Oracle
1 Atlantic_Baltic 77.31
2 West_Asian 10.51
3 Southern 8.52
4 Siberian 2.63
5 South_Asian 0.95
6 East_Asian 0.07
Single Population Sharing:
# Population (source) Distance
1 Argyll (1000Genomes) 2.88
2 Polish (Dodecad) 3.03
3 Orkney (1000Genomes) 3.46
4 Orcadian (HGDP) 3.66
5 Mixed_Slav (Dodecad) 3.68
6 Norwegian (Dodecad) 3.79
7 Irish (Dodecad) 3.79
8 British (Dodecad) 4.26
9 Swedish (Dodecad) 4.26
10 Dutch (Dodecad) 4.3
11 British_Isles (Dodecad) 4.32
12 Ukranians (Yunusbayev) 4.34
13 Belorussian (Behar) 4.52
14 CEU30 (1000Genomes) 4.79
15 Kent (1000Genomes) 5.15
16 German (Dodecad) 5.15
17 English (Dodecad) 5.32
18 Cornwall (1000Genomes) 5.65
19 Russian_B (Behar) 5.89
20 Mixed_Germanic (Dodecad) 5.92
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 72.5% Irish (Dodecad) + 27.5% Russian (HGDP) @ 0.2
2 73.2% Orcadian (HGDP) + 26.8% Russian (HGDP) @ 0.33
3 73.6% Dutch (Dodecad) + 26.4% FIN30 (1000Genomes) @ 0.38
4 74% Dutch (Dodecad) + 26% Finnish (Dodecad) @ 0.48
5 94.2% Norwegian (Dodecad) + 5.8% Tajiks (Yunusbayev) @ 0.49
6 58.4% British (Dodecad) + 41.6% Russian (Dodecad) @ 0.53
7 74.7% Orkney (1000Genomes) + 25.3% Mordovians (Yunusbayev) @ 0.58
8 70% German (Dodecad) + 30% FIN30 (1000Genomes) @ 0.59
9 70% British_Isles (Dodecad) + 30% Russian (HGDP) @ 0.6
10 70.4% German (Dodecad) + 29.6% Finnish (Dodecad) @ 0.62
11 78% Argyll (1000Genomes) + 22% Russian (HGDP) @ 0.63
12 70.4% British (Dodecad) + 29.6% Russian (HGDP) @ 0.73
13 67% Mixed_Germanic (Dodecad) + 33% FIN30 (1000Genomes) @ 0.75
14 74.7% Orkney (1000Genomes) + 25.3% Russian (HGDP) @ 0.76
15 67.4% Mixed_Germanic (Dodecad) + 32.6% Finnish (Dodecad) @ 0.77
16 58.3% British (Dodecad) + 41.7% Russian_B (Behar) @ 0.8
17 94.8% Norwegian (Dodecad) + 5.2% Turkmens (Yunusbayev) @ 0.81
18 52.9% English (Dodecad) + 47.1% Russian (Dodecad) @ 0.87
19 73.8% Orcadian (HGDP) + 26.2% Mordovians (Yunusbayev) @ 0.87
20 93.7% Norwegian (Dodecad) + 6.3% Nogais (Yunusbayev) @ 0.87
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
Admix Results (sorted):
# Population Percent
1 Atlantic_Baltic 60.89
2 Southern 30.43
3 West_Asian 6.67
4 African 2.02
--------------------------------
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
Dodecad K7b Oracle-x Population Fitting
Admix Results:
# Population Percent
1 South_Asian 1.38
2 West_Asian 6.55
3 Siberian 0.43
4 African 1.98
5 Southern 29.88
6 Atlantic_Baltic 59.79
7 East_Asian 0.00
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%
My Dodecad k7b
1 92.9% Romanians (Behar) + 7.1% Moroccan (Dodecad) @ 0.62
2 55.1% Sicilian (Dodecad) + 44.9% Mixed_Slav (Dodecad) @ 0.69
3 53.7% Mixed_Slav (Dodecad) + 46.3% Sephardic_Jews (Behar) @ 0.73
4 70.5% Ukranians (Yunusbayev) + 29.5% Yemen_Jews (Behar) @ 0.76
5 94% Romanians (Behar) + 6% Mozabite (HGDP) @ 0.76
6 50.3% Sephardic_Jews (Behar) + 49.7% Belorussian (Behar) @ 0.81
7 94% Romanians (Behar) + 6% Moroccans (Behar) @ 0.83
8 53.3% Sephardic_Jews (Behar) + 46.7% Lithuanian (Dodecad) @ 0.87
9 60.8% Ashkenazy_Jews (Behar) + 39.2% Lithuanian (Dodecad) @ 0.88
10 60.7% Ashkenazi (Dodecad) + 39.3% Lithuanian (Dodecad) @ 0.9
11 92.9% Romanians (Behar) + 7.1% Algerian (Dodecad) @ 0.92
12 52.7% Ashkenazi (Dodecad) + 47.3% Ukranians (Yunusbayev) @ 0.92
13 55.2% Ukranians (Yunusbayev) + 44.8% Morocco_Jews (Behar) @ 0.92
14 94.1% Bulgarians (Yunusbayev) + 5.9% Moroccan (Dodecad) @ 0.93
15 57.8% Ashkenazy_Jews (Behar) + 42.2% Belorussian (Behar) @ 0.96
16 54.9% Ukranians (Yunusbayev) + 45.1% Sephardic_Jews (Behar) @ 0.96
17 54% Sicilian (Dodecad) + 46% Ukranians (Yunusbayev) @ 0.97
18 56.3% S_Italian_Sicilian (Dodecad) + 43.7% Mixed_Slav (Dodecad) @ 0.99
19 56.1% Ashkenazy_Jews (Behar) + 43.9% Polish (Dodecad) @ 1
20 59% Sicilian (Dodecad) + 41% Belorussian (Behar) @ 1.02
1 50% Bulgarian +50% N_Italian @ 1.291
2 50% Greek +50% Hungarians @ 1.325
3 50% Ashkenazy_Jews +50% Dutch @ 1.659
4 50% Bulgarians +50% N_Italian @ 1.739
5 50% German +50% S_Italian_Sicilian @ 1.785
6 50% German +50% Sicilian @ 1.801
7 50% Dutch +50% Sicilian @ 1.832
8 50% Ashkenazy_Jews +50% German @ 1.841
9 50% Ashkenazi +50% Dutch @ 1.936
10 50% Dutch +50% S_Italian_Sicilian @ 1.993
24976 iterations.
Using 3 populations approximation:
1 50% German +25% Cypriots +25% Tuscan @ 0.365
2 50% French +25% French +25% Georgia_Jews @ 0.433
3 50% Greek +25% Lithuanians +25% Tuscan @ 0.472
4 50% French +25% French +25% Georgia_Jews @ 0.477
5 50% German +25% Cypriots +25% TSI30 @ 0.514
6 50% French +25% French +25% Georgia_Jews @ 0.593
7 50% French +25% Assyrian +25% French @ 0.605
8 50% Greek +25% Lithuanians +25% TSI30 @ 0.607
9 50% Mixed_Germanic +25% Cypriots +25% O_Italian @ 0.614
10 50% French +25% Assyrian +25% French @ 0.623
558912 iterations.
Using 4 populations approximation:
1 Argyll + Armenians + French_Basque + N_Italian @ 0.323
2 Cataluna + French + Georgians + Pais_Vasco @ 0.346
3 Argyll + Armenians + N_Italian + Pais_Vasco @ 0.360
4 Cypriots + German + German + Tuscan @ 0.365
5 Cataluna + French + French_Basque + Georgians @ 0.380
6 Cypriots + Dutch + German + Tuscan @ 0.404
7 French + French + French + Georgia_Jews @ 0.433
8 French + Georgia_Jews + German + Valencia @ 0.445
9 Cypriots + Dutch + Mixed_Germanic + Tuscan @ 0.445
10 Armenian + Castilla_La_Mancha + French + German @ 0.451
11 Cypriots + Dutch + German + TSI30 @ 0.453
12 Armenians + N_Italian + Orkney + Pais_Vasco @ 0.471
13 Greek + Greek + Lithuanians + Tuscan @ 0.472
14 French + French + French + Georgia_Jews @ 0.477
15 Armenian + Baleares + English + French @ 0.482
16 CEU30 + Cypriots + German + Tuscan @ 0.493
17 Bulgarians + Cypriots + French + Mixed_Germanic @ 0.500
18 French + Georgia_Jews + Mixed_Germanic + Valencia @ 0.500
19 Armenians + Irish + N_Italian + Pais_Vasco @ 0.507
20 Armenians + N_Italian + Orcadian + Pais_Vasco @ 0.507
http://oi42.tinypic.com/2n8v6eo.jpgQuote:
Originally Posted by Atlantic Islander
I like K12b better. On this one i get Romanians ahead of Basques which is kind of strange to me.
My Dodecad K12b:
Using 1 population approximation:
1 Romanians @ 10.168
2 Bulgarian @ 10.801
3 Bulgarians @ 11.532
4 O_Italian @ 12.040
5 N_Italian @ 14.376
6 TSI30 @ 16.565
7 Tuscan @ 17.435
8 North_Italian @ 17.762
9 C_Italian @ 18.000
10 Greek @ 19.068
223 iterations.
Using 2 populations approximation:
1 50% Ashkenazy_Jews +50% German @ 2.708
2 50% Ashkenazi +50% German @ 2.731
3 50% German +50% Sicilian @ 2.930
4 50% German +50% S_Italian_Sicilian @ 3.203
5 50% Sephardic_Jews +50% Swedish @ 3.540
6 50% Ashkenazy_Jews +50% Dutch @ 3.748
7 50% Ashkenazy_Jews +50% Mixed_Germanic @ 3.822
8 50% Cypriots +50% Norwegian @ 3.908
9 50% Ashkenazi +50% Mixed_Germanic @ 4.087
10 50% Ashkenazi +50% Dutch @ 4.140
24976 iterations.
Using 3 populations approximation:
1 50% Galicia +25% Armenians_15 +25% Lithuanian @ 1.537
2 50% Baleares +25% Georgia_Jews +25% Lithuanians @ 1.539
3 50% Baleares +25% Georgia_Jews +25% Lithuanian @ 1.574
4 50% Romanians +25% Argyll +25% Morocco_Jews @ 1.583
5 50% Galicia +25% Armenian +25% Lithuanian @ 1.615
6 50% Romanians +25% Morocco_Jews +25% Orkney @ 1.629
7 50% Romanians +25% Morocco_Jews +25% Orcadian @ 1.714
8 50% Bulgarian +25% Morocco_Jews +25% Orkney @ 1.768
9 50% Romanians +25% Irish +25% Morocco_Jews @ 1.800
10 50% Bulgarian +25% Morocco_Jews +25% Orcadian @ 1.879
1021950 iterations.
Using 4 populations approximation:
1 Castilla_Y_Leon + Georgia_Jews + Lithuanians + North_Italian @ 1.427
2 Cornwall + Mixed_Slav + Sephardic_Jews + Sicilian @ 1.480
3 Baleares + Galicia + Georgia_Jews + Lithuanian @ 1.523
4 Argyll + Sephardic_Jews + Sicilian + Ukranians @ 1.524
5 Armenians_15 + Galicia + Galicia + Lithuanian @ 1.537
6 Baleares + Baleares + Georgia_Jews + Lithuanians @ 1.539
7 Irish + Sephardic_Jews + Sicilian + Ukranians @ 1.563
8 Bulgarian + Morocco_Jews + Orkney + Romanians @ 1.571
9 Baleares + Baleares + Georgia_Jews + Lithuanian @ 1.574
10 Orcadian + Sephardic_Jews + Sicilian + Ukranians @ 1.582
11 Argyll + Morocco_Jews + Romanians + Romanians @ 1.583
12 Azerbaijan_Jews + Lithuanians + North_Italian + Portuguese @ 1.587
13 Georgia_Jews + Lithuanians + North_Italian + Portuguese @ 1.597
14 British + Mixed_Slav + Sephardic_Jews + Sicilian @ 1.598
15 Ashkenazy_Jews + German + Sephardic_Jews + Swedish @ 1.609
16 Georgia_Jews + Lithuanians + North_Italian + Spanish @ 1.609
17 Cornwall + Mixed_Slav + S_Italian_Sicilian + Sephardic_Jews @ 1.614
18 Armenian + Galicia + Galicia + Lithuanian @ 1.615
19 Assyrian + Lithuanians + North_Italian + Portuguese @ 1.623
20 Baleares + Extremadura + Georgia_Jews + Lithuanian @ 1.625
Dodecad K12b:
Single Population Sharing:
# Population (source) Distance
1 Mixed_Germanic (Dodecad) 3.2
2 Dutch (Dodecad) 4.48
3 Kent (1000Genomes) 5.85
4 CEU30 (1000Genomes) 5.98
5 English (Dodecad) 6.16
6 British_Isles (Dodecad) 7.35
7 German (Dodecad) 7.63
8 Cornwall (1000Genomes) 8.07
9 French (Dodecad) 8.25
10 British (Dodecad) 8.32
11 Argyll (1000Genomes) 8.63
12 French (HGDP) 8.88
13 Irish (Dodecad) 9.03
14 Orkney (1000Genomes) 9.09
15 Orcadian (HGDP) 9.14
16 Norwegian (Dodecad) 13.25
17 Hungarians (Behar) 14.77
18 Swedish (Dodecad) 15.13
19 Cataluna (1000Genomes) 21.16
20 Galicia (1000Genomes) 21.51
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 81.3% CEU30 (1000Genomes) + 18.7% Romanians (Behar) @ 2.17
2 82.4% CEU30 (1000Genomes) + 17.6% Bulgarian (Dodecad) @ 2.2
3 80.8% English (Dodecad) + 19.2% Romanians (Behar) @ 2.21
4 82.5% CEU30 (1000Genomes) + 17.5% Bulgarians (Yunusbayev) @ 2.22
5 96.3% Mixed_Germanic (Dodecad) + 3.7% Moroccan (Dodecad) @ 2.24
6 81.9% English (Dodecad) + 18.1% Bulgarian (Dodecad) @ 2.24
7 96% Mixed_Germanic (Dodecad) + 4% Algerian (Dodecad) @ 2.24
8 91.7% Dutch (Dodecad) + 8.3% Ashkenazy_Jews (Behar) @ 2.24
9 82% English (Dodecad) + 18% Bulgarians (Yunusbayev) @ 2.26
10 91.7% Dutch (Dodecad) + 8.3% Ashkenazi (Dodecad) @ 2.29
11 96.5% Mixed_Germanic (Dodecad) + 3.5% Moroccans (Behar) @ 2.29
12 91.3% Dutch (Dodecad) + 8.7% Sicilian (Dodecad) @ 2.3
13 89.6% British_Isles (Dodecad) + 10.4% Balkars (Yunusbayev) @ 2.32
14 81.8% Kent (1000Genomes) + 18.2% Romanians (Behar) @ 2.33
15 74.7% Orcadian (HGDP) + 25.3% Bulgarians (Yunusbayev) @ 2.34
16 75% Irish (Dodecad) + 25% Bulgarians (Yunusbayev) @ 2.35
17 89.7% British_Isles (Dodecad) + 10.3% North_Ossetians (Yunusbayev) @ 2.35
18 89.7% Dutch (Dodecad) + 10.3% C_Italian (Dodecad) @ 2.35
19 89.5% British_Isles (Dodecad) + 10.5% Adygei (HGDP) @ 2.36
20 98% Mixed_Germanic (Dodecad) + 2% Mozabite (HGDP) @ 2.36
Please help me understanding my results:
My ancestry is mostly Russian, with some admixture. Dodecad shows very good that I am Russian, unlike other calculators. It also shows the least distances.
The thing I don't understand is why Italy, Spain and why so much of it? Any idea what it can be in reality?
86.80% Russian (Dodecad) + 13.20% TSI30 (Metspalu) @ 0.96 Dodecad World9
87.10% Russian (Dodecad) + 12.90% Tuscan (HGDP) @ 1 Dodecad World9
88.70% Russian (Dodecad) + 11.30% C_Italian (Dodecad) @ 1.19 Dodecad World9
87.90% Russian (Dodecad) + 12.10% O_Italian (Dodecad) @ 1.2 Dodecad World9
92.20% Russian (Dodecad) + 7.80% Morocco_Jews (Behar) @ 1.39 Dodecad World9
90.60% Russian (Dodecad) + 9.40% Sicilian (Dodecad) @ 1.39 Dodecad World9
90.80% Russian (Dodecad) + 9.20% S_Italian_Sicilian (Dodecad) @ 1.45 Dodecad World9
90.90% Russian (Dodecad) + 9.10% Ashkenazi (Dodecad) @ 1.45 Dodecad World9
87.10% Russian (Dodecad) + 12.90% Sardinian (HGDP) @ 1.61 Dodecad K12b
80.50% Russian_B (Behar) + 19.50% Castilla_La_Mancha (1000Genomes) @ 1.85 Dodecad K12b
80.50% Russian_B (Behar) + 19.50% Valencia (1000Genomes) @ 2 Dodecad K12b
80.80% Russian_B (Behar) + 19.20% Aragon (1000Genomes) @ 2.03 Dodecad K12b
80.10% Russian_B (Behar) + 19.90% Cantabria (1000Genomes) @ 2.06 Dodecad K12b
79.90% Russian_B (Behar) + 20.10% Spanish (Dodecad) @ 2.08 Dodecad K12b
80.90% Russian_B (Behar) + 19.10% Andalucia (1000Genomes) @ 2.08 Dodecad K12b
80.20% Russian (Dodecad) + 19.80% Baleares (1000Genomes) @ 2.11 Dodecad K12b
79.10% Russian_B (Behar) + 20.90% Baleares (1000Genomes) @ 2.15 Dodecad K12b
80.20% Russian_B (Behar) + 19.80% Murcia (1000Genomes) @ 2.18 Dodecad K12b
78.70% Russian_B (Behar) + 21.30% Galicia (1000Genomes) @ 2.18 Dodecad K12b
78.50% Russian (Dodecad) + 21.50% N_Italian (Dodecad) @ 2.19 Dodecad K12b
79.70% Russian_B (Behar) + 20.30% Castilla_Y_Leon (1000Genomes) @ 2.19 Dodecad K12b
79.10% Russian_B (Behar) + 20.90% Extremadura (1000Genomes) @ 2.19 Dodecad K12b
82% Russian (Dodecad) + 18% Andalucia (1000Genomes) @ 2.27 Dodecad K12b
73.10% Russian_B (Behar) + 26.90% French (HGDP) @ 2.38 Dodecad K12b
Did you get these results from GEDmatch?Quote:
Originally Posted by lady
I get Galicia first on that one.Quote:
Originally Posted by Alex Delarge
yesQuote:
Originally Posted by Jaxman
World9 is quite rubbish. You seem to be mostly Russian with very little Iberian ancestry (about 10%).Quote:
Originally Posted by lady
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
My Dodecad V3 oracle 4 population approximations (by far the most accurate result I get on any test):
Using 1 population approximation:
1 Ashkenazy_Jews @ 7.772072
2 Ashkenazi @ 8.502169
3 Morocco_Jews @ 12.488474
4 Tuscan @ 17.692190
5 Tuscan @ 18.495729
6 Uzbekistan_Jews @ 18.604643
7 TSI @ 18.709333
8 S_Italian_Sicilian @ 19.215834
9 C_Italian @ 20.219650
10 O_Italian @ 20.326828
Using 2 populations approximation:
1 50% Uzbekistan_Jews +50% Tuscan @ 5.175465
Using 3 populations approximation:
1 50% Georgia_Jews +25% Sephardic_Jews +25% Swedish @ 1.812255
Using 4 populations approximation:
1 Georgia_Jews + Iranian_Jews + Sephardic_Jews + Swedish @ 1.511420
2 Georgia_Jews + Iraq_Jews + Sephardic_Jews + Swedish @ 1.566782
3 Ashkenazi + Iranian_Jews + Orkney + Syrians @ 1.708484
4 Azerbaijan_Jews + Sephardic_Jews + Swedish + Syrians @ 1.714049
5 Ashkenazy_Jews + Iranian_Jews + Orkney + Syrians @ 1.745081
6 Ashkenazy_Jews + Iranian_Jews + Orcadian + Syrians @ 1.748556
7 Ashkenazi + Iranian_Jews + Orcadian + Syrians @ 1.763204
8 Ashkenazi + Iranian_Jews + Syrians + Argyll @ 1.796421
9 Georgia_Jews + Georgia_Jews + Sephardic_Jews + Swedish @ 1.812255
10 Morocco_Jews + Orcadian + Syrians + Uzbekistan_Jews @ 1.821534
Dodecad V3 Oracle results:
The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.
Kit T753946
Admix Results (sorted):
# Population Percent
1 West_European 42.77
2 Mediterranean 38.38
3 West_Asian 6.97
4 Southwest_Asian 3.42
5 Northwest_African 2.55
6 East_European 1.91
7 Northeast_Asian 1.86
8 Southeast_Asian 1.22
9 South_Asian 0.66
10 East_African 0.23
11 Palaeo_African 0.04
Single Population Sharing:
# Population (source) Distance
1 Portuguese (Dodecad) 8.28
2 Spaniards (Behar) 9.4
3 French (Dodecad) 9.72
4 French (HGDP) 9.99
5 IBS (1000Genomes) 10.12
6 Spanish (Dodecad) 10.32
7 N_Italian (Dodecad) 12.33
8 French_Basque (HGDP) 12.71
9 North_Italian (HGDP) 14.69
10 Tuscan (Henn) 15.63
11 TSI (HapMap) 15.85
12 Tuscan (Xing) 16.35
13 CEU (HapMap) 17.85
14 O_Italian (Dodecad) 19.17
15 N._European (Xing) 19.5
16 Orcadian (HGDP) 19.6
17 Sardinian (HGDP) 19.72
18 Tuscan (HGDP) 19.94
19 Orkney (1000 Genomes) 19.94
20 Argyll (1000 Genomes) 20.25
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 53% Sardinian (HGDP) + 47% Mixed_Germanic (Dodecad) @ 3.35
2 52.9% Sardinian (HGDP) + 47.1% Dutch (Dodecad) @ 3.9
3 67.9% French (HGDP) + 32.1% Sardinian (HGDP) @ 4.06
4 69% French_Basque (HGDP) + 31% Ashkenazy_Jews (Behar) @ 4.09
5 50.3% N._European (Xing) + 49.7% Sardinian (HGDP) @ 4.12
6 81.9% French_Basque (HGDP) + 18.1% Iranians (Behar) @ 4.14
7 55.9% Portuguese (Dodecad) + 44.1% French (HGDP) @ 4.15
8 80.3% French_Basque (HGDP) + 19.7% Kurd (Dodecad) @ 4.18
9 79.3% French_Basque (HGDP) + 20.7% Uzbekistan_Jews (Behar) @ 4.31
10 80.3% French (Dodecad) + 19.7% Sephardic_Jews (Behar) @ 4.35
11 54.7% Sardinian (HGDP) + 45.3% Kent (1000 Genomes) @ 4.38
12 56.9% French_Basque (HGDP) + 43.1% Tuscan (Xing) @ 4.41
13 69.2% French (Dodecad) + 30.8% Tuscan (HGDP) @ 4.42
14 50.7% Sardinian (HGDP) + 49.3% Argyll (1000 Genomes) @ 4.43
15 82.1% French_Basque (HGDP) + 17.9% Iranian (Dodecad) @ 4.43
16 62.5% Sardinian (HGDP) + 37.5% Norwegian (Dodecad) @ 4.43
17 78.4% French (Dodecad) + 21.6% Sicilian (Dodecad) @ 4.43
18 67.6% IBS (1000Genomes) + 32.4% N._European (Xing) @ 4.47
19 77.2% French_Basque (HGDP) + 22.8% Stalskoe (Xing) @ 4.5
20 69.8% French_Basque (HGDP) + 30.2% Ashkenazi (Dodecad) @ 4.51
World9 Oracle
Admix Results (sorted):
# Population Percent
1 Atlantic_Baltic 51.92
2 Southern 26.66
3 Caucasus_Gedrosia 20.22
4 Siberian 0.86
5 East_Asian 0.19
6 Australasian 0.13
Single Population Sharing:
# Population (source) Distance
1 Bulgarian (Dodecad) 3.93
2 Bulgarians (Yunusbayev) 4.42
3 TSI30 (Metspalu) 5.14
4 Tuscan (HGDP) 5.66
5 Romanians (Behar) 5.86
6 N_Italian (Dodecad) 6.48
7 O_Italian (Dodecad) 7.35
8 North_Italian (HGDP) 7.37
9 C_Italian (Dodecad) 10.24
10 Baleares (1000 Genomes) 12.31
11 Murcia (1000 Genomes) 13.66
12 Andalucia (1000 Genomes) 13.92
13 Greek (Dodecad) 14.02
14 Extremadura (1000 Genomes) 14.29
15 Canarias (1000 Genomes) 14.85
16 Portuguese (Dodecad) 15.08
17 Galicia (1000 Genomes) 15.12
18 Spaniards (Behar) 15.53
19 Castilla_La_Mancha (1000 Genomes) 15.74
20 Brazilian (Dodecad) 15.86
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 56.2% Bulgarians (Yunusbayev) + 43.8% Tuscan (HGDP) @ 0.26
2 56.8% Bulgarian (Dodecad) + 43.2% TSI30 (Metspalu) @ 0.43
3 53.8% Bulgarians (Yunusbayev) + 46.2% TSI30 (Metspalu) @ 0.47
4 72.5% C_Italian (Dodecad) + 27.5% Ukranians (Yunusbayev) @ 0.56
5 86.1% N_Italian (Dodecad) + 13.9% North_Ossetians (Yunusbayev) @ 0.62
6 85.2% N_Italian (Dodecad) + 14.8% Adygei (HGDP) @ 0.64
7 85.2% N_Italian (Dodecad) + 14.8% Balkars (Yunusbayev) @ 0.67
8 59.2% Bulgarian (Dodecad) + 40.8% Tuscan (HGDP) @ 0.69
9 85.6% N_Italian (Dodecad) + 14.4% Kumyks (Yunusbayev) @ 0.69
10 84.1% North_Italian (HGDP) + 15.9% Chechens (Yunusbayev) @ 0.75
11 66.8% Greek (Dodecad) + 33.2% British_Isles (Dodecad) @ 0.77
12 85% North_Italian (HGDP) + 15% Lezgins (Behar) @ 0.78
13 65.9% Greek (Dodecad) + 34.1% Kent (1000 Genomes) @ 0.79
14 65.7% Greek (Dodecad) + 34.3% Cornwall (1000 Genomes) @ 0.8
15 66% Greek (Dodecad) + 34% British (Dodecad) @ 0.81
16 63% S_Italian (Dodecad) + 37% Norwegian (Dodecad) @ 0.83
17 75.7% C_Italian (Dodecad) + 24.3% Belorussian (Behar) @ 0.83
18 61.2% Norwegian (Dodecad) + 38.8% Samaritians (Behar) @ 0.88
19 88.5% N_Italian (Dodecad) + 11.5% Abhkasians (Yunusbayev) @ 0.88
20 63.7% Greek (Dodecad) + 36.3% Mixed_Germanic (Dodecad) @ 0.89
MDLP World Oracle
Admix Results (sorted):
# Population Percent
1 South_and_West_European 47.9
2 North_and_East_European 21.37
3 Caucaus_Parsia 14.83
4 Middle_East 14.36
5 North_Asian 0.93
6 Indian 0.26
7 Mesoamerican 0.24
8 East_Asian 0.09
9 Arctic_Amerind 0.02
Single Population Sharing:
# Population (source) Distance
1 Italian-North 4.6
2 Gagauz 6.31
3 Bulgarian 6.55
4 Italian_North 7.23
5 Greek_North 7.55
6 Romania 7.65
7 Greek_South 7.84
8 Macedonian 8.73
9 Provancal 8.96
10 Corsican 9
11 Ashkenazim_V 9.04
12 Montenegrin 9.12
13 Greek_Center 9.7
14 Swiss 9.97
15 Italian-Center 10.43
16 Portugese 10.78
17 Kosovar 10.81
18 Greek_East 11.29
19 Serbian 11.9
20 Italian-South 12.55
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 85.1% Italian_North + 14.9% Jew_Georgia @ 0.94
2 85.9% Italian_North + 14.1% Jew-Iraqi @ 0.95
3 86.2% Italian_North + 13.8% Jew_Iraqi @ 1.07
4 51.1% Italian_North + 48.9% Greek_North @ 1.11
5 86.7% Italian_North + 13.3% Jew-Iran @ 1.11
6 84.1% Italian_North + 15.9% Druze @ 1.11
7 64.6% Italian-South + 35.4% Welsh @ 1.15
8 59.5% Italian-Center + 40.5% German-South @ 1.19
9 66.6% French + 33.4% Cypriot @ 1.23
10 54.9% Italian-South + 45.1% German-South @ 1.25
11 83.9% Italian_North + 16.1% Lebanese @ 1.25
12 58% Montenegrin + 42% Italian-South @ 1.25
13 52.1% Italian_North + 47.9% Greek_South @ 1.26
14 76.7% Provancal + 23.3% Cypriot @ 1.3
15 68.4% Provancal + 31.6% Greek_Cretan @ 1.32
16 85.7% Italian_North + 14.3% Jew_Azerbaijan @ 1.32
17 64.3% Italian-South + 35.7% Orcadian @ 1.33
18 86.6% Italian_North + 13.4% Jew_Kurd @ 1.34
19 64% Italian-South + 36% CEU_V @ 1.34
20 63.5% Italian-South + 36.5% CEU @ 1.37
Dodecad V3 Oracle results:
Admix Results (sorted):
# Population Percent
1 West_European 38.11
2 East_European 34.38
3 Mediterranean 18.48
4 West_Asian 6.86
5 Southwest_Asian 0.98
6 South_Asian 0.94
7 Northwest_African 0.27
Single Population Sharing:
# Population (source) Distance
1 Hungarians (Behar) 9.78
2 Polish (Dodecad) 10.24
3 Mixed_Slav (Dodecad) 10.62
4 Slovenian (Xing) 12.29
5 Russian (Dodecad) 16.23
6 Balkans (Dodecad) 18.41
7 Russian (HGDP) 20.21
8 Finnish (Dodecad) 20.26
9 FIN (1000Genomes) 20.62
10 German (Dodecad) 20.82
11 Belorussian (Behar) 21.81
12 Romanians_14 (Behar) 23.52
13 Lithuanians (Behar) 25.88
14 N._European (Xing) 26.16
15 CEU (HapMap) 26.21
16 Argyll (1000 Genomes) 26.36
17 Orcadian (HGDP) 27.24
18 Orkney (1000 Genomes) 27.39
19 Lithuanian (Dodecad) 28.43
20 Chuvashs_16 (Behar) 30.54
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 67.9% Slovenian (Xing) + 32.1% Lithuanians (Behar) @ 0.94
2 69.9% Slovenian (Xing) + 30.1% Lithuanian (Dodecad) @ 1.05
3 71.4% Mixed_Slav (Dodecad) + 28.6% CEU (HapMap) @ 1.75
4 71.4% Mixed_Slav (Dodecad) + 28.6% N._European (Xing) @ 1.91
5 54.7% Polish (Dodecad) + 45.3% Slovenian (Xing) @ 1.94
6 71.6% Mixed_Slav (Dodecad) + 28.4% Argyll (1000 Genomes) @ 2.04
7 72.3% Mixed_Slav (Dodecad) + 27.7% Orcadian (HGDP) @ 2.08
8 72.4% Mixed_Slav (Dodecad) + 27.6% Orkney (1000 Genomes) @ 2.14
9 66.6% Mixed_Slav (Dodecad) + 33.4% German (Dodecad) @ 2.18
10 76.3% Mixed_Slav (Dodecad) + 23.7% French (HGDP) @ 2.2
11 76% Mixed_Slav (Dodecad) + 24% Mixed_Germanic (Dodecad) @ 2.26
12 76.9% Mixed_Slav (Dodecad) + 23.1% Dutch (Dodecad) @ 2.31
13 53.8% Mixed_Slav (Dodecad) + 46.2% Slovenian (Xing) @ 2.39
14 77.9% Mixed_Slav (Dodecad) + 22.1% Kent (1000 Genomes) @ 2.54
15 79% Mixed_Slav (Dodecad) + 21% Cornwall (1000 Genomes) @ 2.7
16 54.6% Belorussian (Behar) + 45.4% N._European (Xing) @ 2.75
17 78.7% Mixed_Slav (Dodecad) + 21.3% British (Dodecad) @ 2.76
18 72.5% Polish (Dodecad) + 27.5% N._European (Xing) @ 2.81
19 78.6% Mixed_Slav (Dodecad) + 21.4% British_Isles (Dodecad) @ 2.86
20 73.3% Hungarians (Behar) + 26.7% Lithuanians (Behar) @ 2.87
Least-squares method.
Using 1 population approximation:
1 Hungarians @ 10.755527
2 Polish @ 11.327818
3 Mixed_Slav @ 11.690148
4 Slovenian @ 13.534920
5 Russian @ 17.728363
6 Balkans @ 20.442562
7 Russian @ 21.845564
8 Finnish @ 22.044956
9 FIN @ 22.636923
10 German @ 23.048969
11 Belorussian @ 24.108944
12 Romanians_14 @ 26.131386
13 Lithuanians @ 28.537691
14 N._European @ 28.912584
15 CEU @ 28.968390
16 Argyll @ 29.157232
17 Orcadian @ 30.137230
18 Orkney @ 30.307390
19 Chuvashs_16 @ 31.315340
20 Lithuanian @ 31.340183
Using 2 populations approximation:
1 50% Polish +50% Slovenian @ 2.392772
Using 3 populations approximation:
1 50% Lithuanian +25% Orkney +25% TSI @ 1.170183
Using 4 populations approximation:
1 Balkans + Dutch + Lithuanian + Mixed_Slav @ 0.910543
2 Belorussian + Irish + Lithuanians + Romanians_14 @ 1.004835
3 Balkans + Kent + Lithuanian + Mixed_Slav @ 1.006900
4 Balkans + Lithuanian + Mixed_Germanic + Polish @ 1.029932
5 Lithuanian + Lithuanians + TSI + Argyll @ 1.153699
6 Balkans + Lithuanians + Mixed_Germanic + Mixed_Slav @ 1.154912
7 Lithuanian + Lithuanians + Orkney + Tuscan @ 1.162777
8 Lithuanian + Lithuanian + Orkney + TSI @ 1.170183
9 Lithuanian + Lithuanian + Orcadian + TSI @ 1.178840
10 Lithuanian + Lithuanians + Orcadian + Tuscan @ 1.181350
11 Balkans + Lithuanians + Mixed_Germanic + Polish @ 1.182451
12 Balkans + British_Isles + Lithuanian + Mixed_Slav @ 1.201760
13 Balkans + Lithuanian + Mixed_Germanic + Mixed_Slav @ 1.218817
14 Balkans + British + Lithuanian + Mixed_Slav @ 1.226513
15 Lithuanian + Lithuanians + Argyll + Tuscan @ 1.232351
16 Lithuanian + Lithuanians + Orkney + TSI @ 1.232370
17 Lithuanian + Lithuanians + Orcadian + TSI @ 1.235545
18 Balkans + Dutch + Lithuanian + Polish @ 1.236009
19 Balkans + Dutch + Lithuanians + Mixed_Slav @ 1.244841
20 Lithuanians + Lithuanians + Argyll + Tuscan @ 1.308403
My Dodecad V3
Admix Results (sorted):
# Population Percent
1 Mediterranean 38.16
2 West_European 25.04
3 West_Asian 20.54
4 East_European 8.96
5 Southwest_Asian 5.87
6 Northwest_African 1.28
Finished reading population data. 227 populations found.
12 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Tuscan @ 6.850284
2 O_Italian @ 7.254836
3 TSI @ 7.847047
4 Tuscan @ 7.909422
5 C_Italian @ 9.687190
6 Ashkenazy_Jews @ 11.203115
7 Tuscan @ 11.604971
8 Ashkenazi @ 12.027326
9 N_Italian @ 13.972623
10 Greek @ 14.335283
11 S_Italian_Sicilian @ 14.558950
12 Sicilian @ 16.107536
13 Romanians_14 @ 16.355957
14 S_Italian @ 17.814007
15 North_Italian @ 17.922583
16 Morocco_Jews @ 18.501110
17 Sephardic_Jews @ 21.115707
18 Balkans @ 21.960119
19 Portuguese @ 25.491079
20 Sardinian @ 25.871229
Using 2 populations approximation:
1 50% Greek +50% Tuscan @ 4.430469
Using 3 populations approximation:
1 50% Greek +25% Mixed_Germanic +25% Sicilian @ 1.273506
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++
1 Greek + Greek + Mixed_Germanic + Sicilian @ 1.273506
2 Greek + Greek + Mixed_Germanic + S_Italian_Sicilian @ 1.300155
3 Ashkenazy_Jews + French + Greek + Greek @ 1.312880
4 Romanians_14 + S_Italian_Sicilian + TSI + TSI @ 1.381657
5 Armenian + Balkans + IBS + N_Italian @ 1.392216
6 Armenian + Balkans + N_Italian + Spanish @ 1.415781
7 Assyrian + Balkans + IBS + N_Italian @ 1.420595
8 Cypriots + German + Greek + N_Italian @ 1.474613
9 Armenian + Hungarians + N_Italian + Sardinian @ 1.484990
10 Ashkenazy_Jews + French + Greek + Greek @ 1.485032
11 Assyrian + Balkans + N_Italian + Spanish @ 1.511808
12 Romanians_14 + S_Italian + TSI + TSI @ 1.524389
13 C_Italian + German + Greek + S_Italian_Sicilian @ 1.541608
14 Assyrian + Balkans + N_Italian + Spaniards @ 1.557757
15 Balkans + S_Italian + TSI + TSI @ 1.566572
16 Romanians_14 + S_Italian_Sicilian + TSI + Tuscan @ 1.567926
17 C_Italian + Greek + Greek + N._European @ 1.622190
18 Greek + S_Italian + S_Italian + Swedish @ 1.623266
19 C_Italian + German + Greek + S_Italian @ 1.633489
20 Greek + Greek + Orkney + S_Italian_Sicilian @ 1.639009
World9
Admix Results (sorted):
# Population Percent
1 Atlantic_Baltic 49.11
2 Southern 30.36
3 Caucasus_Gedrosia 20.08
Finished reading population data. 250 populations found.
9 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Tuscan @ 1.709317
2 TSI30 @ 1.882739
3 O_Italian @ 3.715472
4 C_Italian @ 6.711706
5 Bulgarian @ 8.610929
6 Bulgarians @ 9.357502
7 N_Italian @ 9.855529
8 North_Italian @ 9.918667
9 Romanians @ 9.927156
10 Greek @ 11.792435
11 Baleares @ 15.615083
12 Sicilian @ 15.857606
13 Murcia @ 15.869084
14 Ashkenazy_Jews @ 15.875590
15 Canarias @ 16.149975
16 S_Italian_Sicilian @ 16.511486
17 Andalucia @ 17.062424
18 S_Italian @ 17.390936
19 Ashkenazi @ 17.439335
20 Extremadura @ 17.699799
Using 2 populations approximation:
1 50% Greek +50% N_Italian @ 0.969665
Using 3 populations approximation:
1 50% N_Italian +25% Samaritians +25% Argyll @ 0.441611
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++
1 S_Italian + North_Italian + TSI30 + Bulgarians @ 0.000000
2 S_Italian_Sicilian + North_Italian + Tuscan + Bulgarians @ 0.260345
3 N_Italian + French + Tuscan + Cypriots @ 0.269451
4 N_Italian + French + TSI30 + Cypriots @ 0.269451
5 S_Italian_Sicilian + Bulgarian + North_Italian + TSI30 @ 0.323936
6 Dutch + Sardinian + Tuscan + Armenians @ 0.325300
7 S_Italian_Sicilian + North_Italian + TSI30 + Bulgarians @ 0.325956
8 Greek + C_Italian + C_Italian + French @ 0.326942
9 French + North_Italian + Sardinian + Georgians @ 0.327993
10 O_Italian + Sardinian + Armenians + Kent @ 0.361279
11 Norwegian + French_Basque + Cypriots + Cypriots @ 0.390236
12 C_Italian + Tuscan + Tuscan + Bulgarians @ 0.408176
13 German + Sardinian + Tuscan + Armenians @ 0.408206
14 N_Italian + N_Italian + Samaritians + Argyll @ 0.441611
15 S_Italian + North_Italian + Tuscan + Bulgarians @ 0.444016
16 Armenian + Norwegian + Sardinian + Tuscan @ 0.448007
17 Irish + N_Italian + N_Italian + Samaritians @ 0.448219
18 Mixed_Germanic + Sardinian + Tuscan + Armenians @ 0.454081
19 Greek + French + C_Italian + C_Italian @ 0.459133
20 Norwegian + Sardinian + Tuscan + Armenians @ 0.480522
Interestingly!
Oracles almost everywhere show steadily the British Isles, Germany, the majority they with us have the general site of DNA in the 15th chromosome. There are even Basques, correspond with one family, say that they are clean Basques, other families from the British Isles know the family trees till 13-15 centuries. :)
Dodecad K12b 4-Ancestors Oracle
https://b.radikal.ru/b37/1805/d3/3ea60ca1d5c4.png
https://a.radikal.ru/a20/1805/42/ddd9c5f86cd8.png