Dodecad Ancestry Project

[Atlantic Islander]

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%

[7eleven]

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

[Damião de Góis]

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

I like K12b better. On this one i get Romanians ahead of Basques which is kind of strange to me.

[7eleven]

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

[Patches]

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

[lady]

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

[Black Wolf]

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?

[Atlantic Islander]

I like K12b better. On this one i get Romanians ahead of Basques which is kind of strange to me.

I get Galicia first on that one.

[lady]

Did you get these results from GEDmatch?

yes

[Prince Carlo]

yes

World9 is quite rubbish. You seem to be mostly Russian with very little Iberian ancestry (about 10%).