Post Your Dodecad World9 Results

[tekken999]

World9 4-Ancestors Oracle

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 46.04
2 Southern 21.89
3 Amerindian 13.44
4 African 9.86
5 Caucasus_Gedrosia 7.73


Finished reading population data. 250 populations found.
9 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 PUR30 @ 5.841728
2 Brazilian_Dodecad @ 12.826448
3 CLM30 @ 14.224500
4 Puerto_Rican @ 15.559238
5 Canarias_1000 Genomes @ 20.530493
6 Murcia_1000 Genomes @ 21.587284
7 N_Italian_Dodecad @ 21.914043
8 North_Italian_HGDP @ 21.916155
9 Romanians_Behar @ 22.234238
10 TSI30_Metspalu @ 22.270288
11 Extremadura_1000 Genomes @ 22.386656
12 Tuscan_HGDP @ 22.408121
13 Portuguese_Dodecad @ 22.534338
14 Bulgarian_Dodecad @ 22.689852
15 Baleares_1000 Genomes @ 22.746431
16 Bulgarians_Yunusbayev @ 22.783222
17 Andalucia_1000 Genomes @ 22.828945
18 O_Italian_Dodecad @ 23.032368
19 Galicia_1000 Genomes @ 23.225988
20 Castilla_La_Mancha_1000 Genomes @ 23.926085

Using 2 populations approximation:
1 50% Brazilian_Dodecad +50% CLM30 @ 5.073418


Using 3 populations approximation:
1 50% Brazilian_Dodecad +25% Puerto_Rican +25% CLM30 @ 2.625275


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++
1 Brazilian_Dodecad + N_Italian_Dodecad + Colombian + Puerto_Rican @ 1.084881
2 Brazilian_Dodecad + North_Italian_HGDP + Colombian + Puerto_Rican @ 1.383179
3 N_Italian_Dodecad + CLM30 + PUR30 + PUR30 @ 1.570772
4 Brazilian_Dodecad + Colombian + Puerto_Rican + Bulgarians_Yunusbayev @ 1.832798
5 CLM30 + PUR30 + PUR30 + Bulgarians_Yunusbayev @ 1.833736
6 North_Italian_HGDP + CLM30 + PUR30 + PUR30 @ 1.897997
7 French_Basque + MEX30 + TSI30_Metspalu + Dominican @ 1.978124
8 French_Basque + Tuscan_HGDP + MEX30 + Dominican @ 1.980958
9 MEX30 + TSI30_Metspalu + Dominican + Pais_Vasco_1000 Genomes @ 1.983921
10 Tuscan_HGDP + MEX30 + Dominican + Pais_Vasco_1000 Genomes @ 1.986783
11 N_Italian_Dodecad + MEX30 + Dominican + Aragon_1000 Genomes @ 2.000906
12 German_Dodecad + Hungarians_Behar + Moroccans_Behar + Ecuadorian @ 2.005559
13 CEU30_1000Genomes + Hungarians_Behar + Moroccans_Behar + Ecuadorian @ 2.032193
14 Brazilian_Dodecad + Colombian + Puerto_Rican + Baleares_1000 Genomes @ 2.042640
15 North_Italian_HGDP + MEX30 + Dominican + Cataluna_1000 Genomes @ 2.047095
16 French_HGDP + Moroccans_Behar + Ecuadorian + Ukranians_Yunusbayev @ 2.050707
17 Dutch_Dodecad + Hungarians_Behar + Moroccans_Behar + Ecuadorian @ 2.068616
18 Bulgarian_Dodecad + CLM30 + PUR30 + PUR30 @ 2.083974
19 North_Italian_HGDP + MEX30 + Dominican + Aragon_1000 Genomes @ 2.093061
20 Bulgarian_Dodecad + Brazilian_Dodecad + Colombian + Puerto_Rican @ 2.098265

Done.

[Tong]

# Population Percent
1 Atlantic_Baltic 67.89
2 Southern 15.78
3 Caucasus_Gedrosia 14.01
4 Amerindian 0.81
5 Siberian 0.65
6 South_Asian 0.52
7 Australasian 0.33

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 2.28
2 French (HGDP) 4.19
3 French (Dodecad) 5.62
4 Mixed_Germanic (Dodecad) 6.18
5 Dutch (Dodecad) 7.1
6 German (Dodecad) 7.68
7 CEU30 (1000Genomes) 8.28
8 Cornwall (1000 Genomes) 8.48
9 Kent (1000 Genomes) 8.61
10 British (Dodecad) 8.81
11 Ukranians (Yunusbayev) 9.69
12 British_Isles (Dodecad) 9.78
13 Argyll (1000 Genomes) 10.37
14 Irish (Dodecad) 10.64
15 Orcadian (HGDP) 10.85
16 Cataluna (1000 Genomes) 11.13
17 Orkney (1000 Genomes) 11.26
18 Polish (Dodecad) 12.11
19 Valencia (1000 Genomes) 12.9
20 Spaniards (Behar) 13.09

[Tong]

# Population Percent
1 Atlantic_Baltic 67.89
2 Southern 15.78
3 Caucasus_Gedrosia 14.01
4 Amerindian 0.81
5 Siberian 0.65
6 South_Asian 0.52
7 Australasian 0.33

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 2.28
2 French (HGDP) 4.19
3 French (Dodecad) 5.62
4 Mixed_Germanic (Dodecad) 6.18
5 Dutch (Dodecad) 7.1
6 German (Dodecad) 7.68
7 CEU30 (1000Genomes) 8.28
8 Cornwall (1000 Genomes) 8.48
9 Kent (1000 Genomes) 8.61
10 British (Dodecad) 8.81
11 Ukranians (Yunusbayev) 9.69
12 British_Isles (Dodecad) 9.78
13 Argyll (1000 Genomes) 10.37
14 Irish (Dodecad) 10.64
15 Orcadian (HGDP) 10.85
16 Cataluna (1000 Genomes) 11.13
17 Orkney (1000 Genomes) 11.26
18 Polish (Dodecad) 12.11
19 Valencia (1000 Genomes) 12.9
20 Spaniards (Behar) 13.09

how tf am i so close to hungarians?

[Böri]

I only started to analyse my boyfriend's results after he tested and it seems he could have part turkmen ancestry (or some other central asian) and not what he previously thought? East_Asian 4.96, Siberian 3.59

You can't find anything like that west of western Thrace/south Bulgaria. Nice trolling.

[Ylla]

You can't find anything like that west of western Thrace/south Bulgaria. Nice trolling.

Why would i troll ffs? He doesnt know some part of his ancestry. It could be from anywhere in the world. I didnt say its from 'west of thrace'.

[Senpai]

# Population Percent
1 Atlantic_Baltic 71.04
2 Caucasus_Gedrosia 12.89
3 Southern 12.47
4 Siberian 1.49


Finished reading population data. 250 populations found.
9 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Mixed_Germanic_Dodecad @ 3.285870
2 Dutch_Dodecad @ 3.773015
3 Hungarians_Behar @ 3.799203
4 German_Dodecad @ 4.286777
5 CEU30_1000Genomes @ 4.917268
6 Cornwall_1000 Genomes @ 5.554790
7 Kent_1000 Genomes @ 5.603454
8 British_Dodecad @ 5.634884
9 Ukranians_Yunusbayev @ 6.298033
10 French_HGDP @ 6.736024
11 British_Isles_Dodecad @ 6.740069
12 Argyll_1000 Genomes @ 6.947237
13 Irish_Dodecad @ 7.377390
14 Orcadian_HGDP @ 7.651121
15 French_Dodecad @ 8.049788
16 Orkney_1000 Genomes @ 8.106407
17 Polish_Dodecad @ 8.543901
18 Belorussian_Behar @ 10.359724
19 Russian_B_Behar @ 10.913960
20 Russian_Dodecad @ 11.164000

Using 2 populations approximation:
1 50% French_HGDP +50% Ukranians_Yunusbayev @ 0.999192


Using 3 populations approximation:
1 50% Belorussian_Behar +25% Hungarians_Behar +25% Baleares_1000 Genomes @ 0.853329


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++
1 Polish_Dodecad + Portuguese_Dodecad + Ukranians_Yunusbayev + Ukranians_Yunusbayev @ 0.397941
2 Belorussian_Behar + Murcia_1000 Genomes + Ukranians_Yunusbayev + Ukranians_Yunusbayev @ 0.496768
3 Polish_Dodecad + Extremadura_1000 Genomes + Ukranians_Yunusbayev + Ukranians_Yunusbayev @ 0.547450
4 Polish_Dodecad + Andalucia_1000 Genomes + Ukranians_Yunusbayev + Ukranians_Yunusbayev @ 0.590374
5 Argyll_1000 Genomes + Extremadura_1000 Genomes + Ukranians_Yunusbayev + Ukranians_Yunusbayev @ 0.679530
6 Polish_Dodecad + Galicia_1000 Genomes + Ukranians_Yunusbayev + Ukranians_Yunusbayev @ 0.689206
7 Spanish_Dodecad + Ukranians_Yunusbayev + Ukranians_Yunusbayev + Ukranians_Yunusbayev @ 0.720826
8 Castilla_Y_Leon_1000 Genomes + Ukranians_Yunusbayev + Ukranians_Yunusbayev + Ukranians_Yunusbayev @ 0.738646
9 Portuguese_Dodecad + Belorussian_Behar + Ukranians_Yunusbayev + Ukranians_Yunusbayev @ 0.741604
10 Dutch_Dodecad + Russian_B_Behar + Baleares_1000 Genomes + Ukranians_Yunusbayev @ 0.750063
11 Polish_Dodecad + Murcia_1000 Genomes + Ukranians_Yunusbayev + Ukranians_Yunusbayev @ 0.775626
12 Belorussian_Behar + Andalucia_1000 Genomes + Ukranians_Yunusbayev + Ukranians_Yunusbayev @ 0.780516
13 German_Dodecad + Russian_B_Behar + Baleares_1000 Genomes + Ukranians_Yunusbayev @ 0.780777
14 Dutch_Dodecad + Russian_B_Behar + Extremadura_1000 Genomes + Ukranians_Yunusbayev @ 0.792818
15 CEU30_1000Genomes + Russian_B_Behar + Baleares_1000 Genomes + Ukranians_Yunusbayev @ 0.803578
16 Russian_Dodecad + N_Italian_Dodecad + CEU30_1000Genomes + Argyll_1000 Genomes @ 0.823225
17 Valencia_1000 Genomes + Ukranians_Yunusbayev + Ukranians_Yunusbayev + Ukranians_Yunusbayev @ 0.846008
18 Polish_Dodecad + Baleares_1000 Genomes + Ukranians_Yunusbayev + Ukranians_Yunusbayev @ 0.851929
19 Belorussian_Behar + Belorussian_Behar + Hungarians_Behar + Baleares_1000 Genomes @ 0.853329
20 Galicia_1000 Genomes + Ukranians_Yunusbayev + Ukranians_Yunusbayev + Ukranians_Yunusbayev @ 0.853839

[Böri]

Why would i troll ffs? He doesnt know some part of his ancestry. It could be from anywhere in the world. I didnt say its from 'west of thrace'.

OMG what a tragedy His parents adopted him after finding him out abandoned near a mosque or church when small baby maybe? I believed you were a more original girl, you disappointing with this level.

[Thracian]

Admix Results (sorted):

# Population Percent
1 Atlantic_Baltic 41.42
2 Caucasus_Gedrosia 26.32
3 Southern 25.51
4 Siberian 2.93
5 South_Asian 2.66


Single Population Sharing:

# Population (source) Distance
1 Greek (Dodecad) 8.91
2 O_Italian (Dodecad) 9.38
3 C_Italian (Dodecad) 9.99
4 Romanians (Behar) 11.07
5 Tuscan (HGDP) 11.56
6 Bulgarian (Dodecad) 11.93
7 TSI30 (Metspalu) 12.1
8 Ashkenazy_Jews 12.53
9 Bulgarians (Yunusbayev) 13.07
10 S_Italian_Sicilian (Dodecad) 13.52
11 Sicilian (Dodecad) 13.62
12 S_Italian (Dodecad) 13.94
13 Ashkenazi (Dodecad) 14.22
14 N_Italian (Dodecad) 17.58
15 North_Italian (HGDP) 18.22
16 Sephardic_Jews (Behar) 21.01
17 Turkish (Dodecad) 22.48
18 Baleares (1000 Genomes) 23.04
19 Morocco_Jews (Behar) 23.09
20 Nogais (Yunusbayev) 23.46

[Ylla]

OMG what a tragedy His parents adopted him after finding him out abandoned near a mosque or church when small baby maybe? I believed you were a more original girl, you disappointing with this level.

What a disrespectful troll. Grow up.
We are suspecting some ancestry like that but it could be any source. Its minor anyway.

[Medcrown]

First ever post.

# Population Percent
1 Atlantic_Baltic 44.62
2 Southern 27.28
3 Caucasus_Gedrosia 27.06
4 Australasian 0.66
5 Siberian 0.38

Single Population Sharing:

# Population (source) Distance
1 O_Italian (Dodecad) 7.1
2 Greek (Dodecad) 7.9
3 C_Italian (Dodecad) 8.15
4 Tuscan (HGDP) 9.16
5 TSI30 (Metspalu) 9.67
6 Bulgarian (Dodecad) 10
7 Romanians (Behar) 10.38
8 Bulgarians (Yunusbayev) 11.21
9 Ashkenazy_Jews 12.55
10 S_Italian_Sicilian (Dodecad) 13.13
11 Sicilian (Dodecad) 13.27
12 S_Italian (Dodecad) 13.71
13 Ashkenazi (Dodecad) 14.24
14 N_Italian (Dodecad) 15.36
15 North_Italian (HGDP) 16.01
16 Baleares (1000 Genomes) 21.11
17 Sephardic_Jews (Behar) 21.29
18 Murcia (1000 Genomes) 21.87
19 Canarias (1000 Genomes) 22.31
20 Andalucia (1000 Genomes) 22.6