Post Your Dodecad World9 Results

[Ritz06]

Southern Arabian?
Hum...
Let me see my score on the test and let us sort this out...

World9 Oracle results:
Kit YN7930495

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 46.51
2 Southern 29.78
3 Caucasus_Gedrosia 15.16
4 Siberian 4.78
5 African 2.44
6 Amerindian 1.34

Single Population Sharing:

# Population (source) Distance
1 Tuscan (HGDP) 7.05
2 TSI30 (Metspalu) 7.12
3 O_Italian (Dodecad) 7.58
4 C_Italian (Dodecad) 9.1
5 North_Italian (HGDP) 10.83
6 N_Italian (Dodecad) 11.15
7 Bulgarian (Dodecad) 11.54
8 Bulgarians (Yunusbayev) 11.93
9 Romanians (Behar) 11.97
10 Canarias (1000 Genomes) 12.94
11 Greek (Dodecad) 13.26
12 Murcia (1000 Genomes) 13.54
13 Brazilian (Dodecad) 14.41
14 Baleares (1000 Genomes) 14.44
15 Andalucia (1000 Genomes) 15.12
16 Ashkenazy_Jews 15.3
17 Sicilian (Dodecad) 15.42
18 Extremadura (1000 Genomes) 15.58
19 Portuguese (Dodecad) 15.95
20 S_Italian_Sicilian (Dodecad) 16.35

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 56.4% Finnish (Dodecad) + 43.6% Yemen_Jews (Behar) @ 3.09
2 63.7% Morocco_Jews (Behar) + 36.3% Finnish (Dodecad) @ 3.22
3 56.6% FIN30 (1000Genomes) + 43.4% Yemen_Jews (Behar) @ 3.33
4 63.6% Morocco_Jews (Behar) + 36.4% FIN30 (1000Genomes) @ 3.37
5 92.7% TSI30 (Metspalu) + 7.3% Chukchi @ 3.54
6 92.3% TSI30 (Metspalu) + 7.7% Koryak @ 3.66
7 92.9% Tuscan (HGDP) + 7.1% Chukchi @ 3.74
8 92.5% Tuscan (HGDP) + 7.5% Koryak @ 3.78
9 92.2% TSI30 (Metspalu) + 7.8% Yukagir @ 3.86
10 94% TSI30 (Metspalu) + 6% Nganassan @ 3.88
11 92.9% TSI30 (Metspalu) + 7.1% Dolgan @ 3.92
12 91.8% TSI30 (Metspalu) + 8.2% Ket @ 3.93
13 53.5% Finnish (Dodecad) + 46.5% Bedouin (HGDP) @ 3.94
14 93.5% TSI30 (Metspalu) + 6.5% Evenk @ 3.94
15 92.3% Tuscan (HGDP) + 7.7% Yukagir @ 3.95
16 92% Tuscan (HGDP) + 8% Ket @ 4
17 93.3% TSI30 (Metspalu) + 6.7% Yakut (HGDP) @ 4
18 92.5% TSI30 (Metspalu) + 7.5% EastGreenland @ 4
19 94.1% Tuscan (HGDP) + 5.9% Nganassan @ 4.01
20 93.1% Tuscan (HGDP) + 6.9% Dolgan @ 4.04

Maybe it is a mix of arabian and east med?

[firemonkey]

Mine


# Population Percent
1 Atlantic_Baltic 73.98
2 Southern 11.83
3 Caucasus_Gedrosia 11.18
4 Amerindian 1.26
5 South_Asian 0.81
6 Siberian 0.46
7 African 0.35
8 Australasian 0.13

Single Population Sharing:

# Population (source) Distance
1 German (Dodecad) 1.56
2 CEU30 (1000Genomes) 1.57
3 Dutch (Dodecad) 1.68
4 Mixed_Germanic (Dodecad) 1.89
5 Cornwall (1000 Genomes) 2.03
6 Kent (1000 Genomes) 2.11
7 British (Dodecad) 2.18
8 British_Isles (Dodecad) 2.98
9 Argyll (1000 Genomes) 3.79
10 Irish (Dodecad) 3.81
11 Orcadian (HGDP) 3.93
12 Orkney (1000 Genomes) 4.32
13 Polish (Dodecad) 6.12
14 Ukranians (Yunusbayev) 6.2
15 Hungarians (Behar) 6.56
16 French (HGDP) 7.66
17 Belorussian (Behar) 8.01
18 Norwegian (Dodecad) 8.02
19 Swedish (Dodecad) 8.42
20 French (Dodecad) 8.47

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 96.6% CEU30 (1000Genomes) + 3.4% CLM30 @ 0.54
2 97.3% CEU30 (1000Genomes) + 2.7% Colombian @ 0.61
3 97.7% CEU30 (1000Genomes) + 2.3% MEX30 @ 0.62
4 98% CEU30 (1000Genomes) + 2% Ecuadorian @ 0.67
5 85.9% Argyll (1000 Genomes) + 14.1% Brazilian (Dodecad) @ 0.78
6 98.7% CEU30 (1000Genomes) + 1.3% PEL30 @ 0.79
7 96.9% German (Dodecad) + 3.1% CLM30 @ 0.79
8 95.3% Orcadian (HGDP) + 4.7% Bedouin (HGDP) @ 0.79
9 98.5% CEU30 (1000Genomes) + 1.5% Athabask @ 0.8
10 96.4% CEU30 (1000Genomes) + 3.6% PUR30 @ 0.81
11 94.4% CEU30 (1000Genomes) + 5.6% Brazilian (Dodecad) @ 0.82
12 95.5% Orcadian (HGDP) + 4.5% Saudis (Behar) @ 0.82
13 98.9% CEU30 (1000Genomes) + 1.1% Maya @ 0.83
14 97.5% German (Dodecad) + 2.5% Colombian @ 0.83
15 98.9% CEU30 (1000Genomes) + 1.1% Pima @ 0.85
16 98.9% CEU30 (1000Genomes) + 1.1% Colombians @ 0.85
17 99% CEU30 (1000Genomes) + 1% Karitiana @ 0.86
18 99% CEU30 (1000Genomes) + 1% Surui @ 0.86
19 95.7% Orcadian (HGDP) + 4.3% Yemen_Jews (Behar) @ 0.87
20 96.6% German (Dodecad) + 3.4% PUR30 @ 0.88


Using 2 populations approximation:
1 50% Mixed_Germanic_Dodecad +50% CEU30_1000Genomes @ 1.202543


Using 3 populations approximation:
1 50% Polish_Dodecad +25% Argyll_1000 Genomes +25% Cataluna_1000 Genomes @ 1.050805


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++
1 Polish_Dodecad + Lithuanian_Dodecad + Argyll_1000 Genomes + Murcia_1000 Genomes @ 0.907595
2 Belorussian_Behar + Argyll_1000 Genomes + Argyll_1000 Genomes + Cataluna_1000 Genomes @ 1.002534
3 Lithuanian_Dodecad + Argyll_1000 Genomes + Argyll_1000 Genomes + Baleares_1000 Genomes @ 1.011164
4 French_Dodecad + Orcadian_HGDP + Cornwall_1000 Genomes + Ukranians_Yunusbayev @ 1.015279
5 German_Dodecad + Lithuanian_Dodecad + Argyll_1000 Genomes + Baleares_1000 Genomes @ 1.021202
6 German_Dodecad + Lithuanian_Dodecad + Belorussian_Behar + Murcia_1000 Genomes @ 1.022274
7 Polish_Dodecad + Lithuanians + Argyll_1000 Genomes + Murcia_1000 Genomes @ 1.023288
8 Lithuanian_Dodecad + CEU30_1000Genomes + Argyll_1000 Genomes + Baleares_1000 Genomes @ 1.026314
9 French_Dodecad + CEU30_1000Genomes + CEU30_1000Genomes + Belorussian_Behar @ 1.026743
10 French_Dodecad + Orcadian_HGDP + CEU30_1000Genomes + Ukranians_Yunusbayev @ 1.030571
11 British_Dodecad + French_Dodecad + Orcadian_HGDP + Ukranians_Yunusbayev @ 1.030693
12 Polish_Dodecad + German_Dodecad + Lithuanian_Dodecad + Extremadura_1000 Genomes @ 1.033013
13 Polish_Dodecad + Orcadian_HGDP + Belorussian_Behar + Spaniards_Behar @ 1.034442
14 Portuguese_Dodecad + Lithuanian_Dodecad + Orcadian_HGDP + Ukranians_Yunusbayev @ 1.036026
15 Orcadian_HGDP + Russian_B_Behar + Argyll_1000 Genomes + Cataluna_1000 Genomes @ 1.043725
16 Polish_Dodecad + Lithuanian_Dodecad + CEU30_1000Genomes + Baleares_1000 Genomes @ 1.044525
17 Polish_Dodecad + French_Dodecad + CEU30_1000Genomes + CEU30_1000Genomes @ 1.046318
18 German_Dodecad + French_Dodecad + CEU30_1000Genomes + Belorussian_Behar @ 1.046510
19 Polish_Dodecad + French_HGDP + CEU30_1000Genomes + CEU30_1000Genomes @ 1.047516
20 Irish_Dodecad + Polish_Dodecad + Lithuanian_Dodecad + Murcia_1000 Genomes @ 1.048110



My father


# Population Percent
1 Atlantic_Baltic 73.59
2 Southern 13.26
3 Caucasus_Gedrosia 11.88
4 Siberian 1
5 Australasian 0.24
6 Amerindian 0.04

Single Population Sharing:

# Population (source) Distance
1 Mixed_Germanic (Dodecad) 1.04
2 Dutch (Dodecad) 1.91
3 German (Dodecad) 2.27
4 CEU30 (1000Genomes) 2.77
5 Cornwall (1000 Genomes) 2.77
6 Kent (1000 Genomes) 2.8
7 British (Dodecad) 3.03
8 British_Isles (Dodecad) 3.98
9 Irish (Dodecad) 5.02
10 Argyll (1000 Genomes) 5.02
11 Orcadian (HGDP) 5.22
12 Orkney (1000 Genomes) 5.5
13 Hungarians (Behar) 5.53
14 French (HGDP) 6.35
15 Ukranians (Yunusbayev) 6.7
16 Polish (Dodecad) 7.16
17 French (Dodecad) 7.28
18 Belorussian (Behar) 9.1
19 Norwegian (Dodecad) 9.1
20 Swedish (Dodecad) 9.62

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 68.9% Norwegian (Dodecad) + 31.1% N_Italian (Dodecad) @ 0.74
2 88.6% Kent (1000 Genomes) + 11.4% Bulgarians (Yunusbayev) @ 0.76
3 75.6% Norwegian (Dodecad) + 24.4% TSI30 (Metspalu) @ 0.77
4 89.2% Kent (1000 Genomes) + 10.8% Bulgarian (Dodecad) @ 0.79
5 50.4% Polish (Dodecad) + 49.6% French (Dodecad) @ 0.8
6 99.4% Mixed_Germanic (Dodecad) + 0.6% Nganassan @ 0.81
7 76.1% Norwegian (Dodecad) + 23.9% Tuscan (HGDP) @ 0.84
8 74.9% German (Dodecad) + 25.1% French (HGDP) @ 0.84
9 99.3% Mixed_Germanic (Dodecad) + 0.7% Yukagir @ 0.84
10 99.1% Mixed_Germanic (Dodecad) + 0.9% Selkup @ 0.84
11 93.5% Kent (1000 Genomes) + 6.5% Greek (Dodecad) @ 0.84
12 99.3% Mixed_Germanic (Dodecad) + 0.7% Dolgan @ 0.84
13 99.3% Mixed_Germanic (Dodecad) + 0.7% Koryak @ 0.84
14 99.2% Mixed_Germanic (Dodecad) + 0.8% Ket @ 0.84
15 99.4% Mixed_Germanic (Dodecad) + 0.6% Evenk @ 0.85
16 95.7% Kent (1000 Genomes) + 4.3% Cypriots (Behar) @ 0.85
17 99.4% Mixed_Germanic (Dodecad) + 0.6% Yakut (HGDP) @ 0.86
18 96.3% Kent (1000 Genomes) + 3.7% Druze (HGDP) @ 0.86
19 59% French (HGDP) + 41% Belorussian (Behar) @ 0.86
20 94.1% Kent (1000 Genomes) + 5.9% Ashkenazy_Jews @ 0.87


Using 2 populations approximation:
1 50% Polish_Dodecad +50% French_HGDP @ 0.790649


Using 3 populations approximation:
1 50% Norwegian_Dodecad +25% Dutch_Dodecad +25% N_Italian_Dodecad @ 0.449192


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++
1 Norwegian_Dodecad + Norwegian_Dodecad + Dutch_Dodecad + N_Italian_Dodecad @ 0.449192
2 German_Dodecad + Norwegian_Dodecad + Norwegian_Dodecad + N_Italian_Dodecad @ 0.485703
3 Polish_Dodecad + Norwegian_Dodecad + North_Italian_HGDP + Orkney_1000 Genomes @ 0.587034
4 British_Dodecad + British_Isles_Dodecad + North_Italian_HGDP + Lithuanians @ 0.621457
5 Norwegian_Dodecad + Norwegian_Dodecad + N_Italian_Dodecad + Kent_1000 Genomes @ 0.633078
6 Swedish_Dodecad + Norwegian_Dodecad + Dutch_Dodecad + N_Italian_Dodecad @ 0.635324
7 Norwegian_Dodecad + Norwegian_Dodecad + N_Italian_Dodecad + CEU30_1000Genomes @ 0.638288
8 French_Dodecad + Norwegian_Dodecad + Dutch_Dodecad + Hungarians_Behar @ 0.650283
9 Norwegian_Dodecad + Norwegian_Dodecad + Mixed_Germanic_Dodecad + N_Italian_Dodecad @ 0.650836
10 British_Isles_Dodecad + North_Italian_HGDP + Lithuanians + Kent_1000 Genomes @ 0.651870
11 British_Dodecad + North_Italian_HGDP + Lithuanians + Kent_1000 Genomes @ 0.657495
12 German_Dodecad + Swedish_Dodecad + Norwegian_Dodecad + N_Italian_Dodecad @ 0.659373
13 Polish_Dodecad + Polish_Dodecad + French_Dodecad + French_HGDP @ 0.669361
14 Norwegian_Dodecad + Mixed_Germanic_Dodecad + French_HGDP + Hungarians_Behar @ 0.673235
15 Swedish_Dodecad + Norwegian_Dodecad + Mixed_Germanic_Dodecad + N_Italian_Dodecad @ 0.674368
16 Irish_Dodecad + Polish_Dodecad + Norwegian_Dodecad + North_Italian_HGDP @ 0.676438
17 Polish_Dodecad + Norwegian_Dodecad + North_Italian_HGDP + Orcadian_HGDP @ 0.680570
18 German_Dodecad + French_Dodecad + Norwegian_Dodecad + Hungarians_Behar @ 0.682909
19 British_Dodecad + Norwegian_Dodecad + Norwegian_Dodecad + N_Italian_Dodecad @ 0.685781
20 Norwegian_Dodecad + Norwegian_Dodecad + N_Italian_Dodecad + Cornwall_1000 Genomes @ 0.685781

[Sp_loa]

Maybe it is a mix of arabian and east med?

Its seems to be an East-Med like thing. Lebanese score it high too.

[AK-47]

Its seems to be an East-Med like thing. Lebanese score it high too.

These calculators can be pretty confusing.
Just putting "southern" is kind of derptarded.
My "Southern" score is 29.78, and I have tons of southern euro hits, so I just assumed it was that.
Southern Caucasus?
Go me?
Lebanese are relatively close to far southern euro populations, like the Maltese/Sicilians.

[Sp_loa]

These calculators can be pretty confusing.
Just putting "southern" is kind of derptarded.
My "Southern" score is Southern 29.78, and I have tons of southern euro hits, so I just assumed it was that.
Southern Caucasus?
Go me?
Lebanese are relatively close to far southern euro populations, like the Maltese/Sicilians.

I thought it was Southern Europe but I understood it is not possible for me to have 40% Southern Europe+more than 20% Northern. I'm not that European. The oracle is a bit wired too. Not all Gedmatch calculators are good, just some of them. I prefer PCA plots. You will probably plot way more north than Ashkenazim as you are 1/8 British and Irish.

[AK-47]

I thought it was Southern Europe but I understood it is not possible for me to have 40% Southern Europe+more than 20% Northern. I'm not that European. The oracle is a bit wired too. Not all Gedmatch calculators are good, just some of them. I prefer PCA plots. You will probably plot way more north than Ashkenazim as you are 1/8 British and Irish.

Got to be Southern Caucasus.
The Assyrians and Armenians are nearly at 50%.

[AK-47]

I thought it was Southern Europe but I understood it is not possible for me to have 40% Southern Europe+more than 20% Northern. I'm not that European. The oracle is a bit wired too. Not all Gedmatch calculators are good, just some of them. I prefer PCA plots. You will probably plot way more north than Ashkenazim as you are 1/8 British and Irish.

Southern Arabian.
After looking carefully, Saudis score nearly 60%.

[Sp_loa]

Southern Arabian.
After looking carefully, Saudis score nearly 60%.

Something is super off with this calculator. I don't see how Jews and Europeans will score that much of Arabian or how Armenians will. Conclusion- Bad calculator.

[AK-47]

Maybe it is a mix of arabian and east med?

Looks like it.
Southern Arabians score highest in the "southern" category.


Some of the calculator results can be confusing.
The Jtest one is totally garbage and gives pretty much all Euros and MENA gentiles 6% Ashkenazi as just noise.

[Ylla]

Maybe it is a mix of arabian and east med?

I think it's something like 'basal eurasian'