Which cluster you belong to ? Post your results

[Ibericus]

Post your Dodecad K12b results and I will tell which cluster you belong to. Ive created 100 clusters (Europeans and Jews only):

Spoiler!

Cluster 1 Spanish East
Cluster 4 French North, Swiss-German
Cluster 5 Finnish
Cluster 6 Austrian
Cluster 7 Greek South
Cluster 8 Steppe (Andronovo, Sintashta, Srubnaya)
Cluster 9 WHG
Cluster 10 European LNBA, German North
Cluster 11 Irish/Swedish Neolithic farmers
Cluster 12 German East
Cluster 13 Croatian, Slovenian, Austrian
Cluster 14 Belgian, German South/West
Cluster 15 Corded Ware, Unetice German
Cluster 16 German North, White American
Cluster 17 Serbian, Bosnian
Cluster 18 Belgium
Cluster 20 Spanish general (Aragon, Asturias, Galicia, Andalusia..)
Cluster 21 Belgium, German South
Cluster 22 Dutch
Cluster 23 Irish, English, Belgian
Cluster 24 Spanish North
Cluster 25 Sardinian, European farmer
Cluster 26 Swiss-German, Austria Tryol
Cluster 27 Armenia Chalcolithic / MBA
Cluster 28 Paleolithic European
Cluster 29 German West/South
Cluster 30 Norwegian, Swedish, Unetice
Cluster 31 Steppe, Scthytian
Cluster 32 Basque
Cluster 33 Middle-Neolithic / Chalcolithic farmers
Cluster 34 Finnish, Russian
Cluster 35 Romanian, Bulgarian
Cluster 36 Spanish Central-North (La Mancha, Aragon, Valencia, Cantabria)
Cluster 37 Sicilian, Maltese, North-African Jews
Cluster 38 Spanish general (Galician, Valencian)
Cluster 39 Italian Friuli
Cluster 42 German general
Cluster 43 Irish, British, Orcadian, White USA
Cluster 44 Czech, German East, Slovenian
Cluster 45 Veneto-Friul
Cluster 46 Ashkenazi, South Italian
Cluster 47 Steppe (Afanasievo, Yamnaya, Srubanya)
Cluster 48 European Neolithic farmers
Cluster 50 Norwegian
Cluster 51 North Italian broad (Swiss Italian, Aosta, Veneto-Friul)
Cluster 53 Northern French, Belgium
Cluster 54 German North
Cluster 55 Anatolian EF, Myceanean, Minoan
Cluster 56 Tyrol, Veneto, Friul
Cluster 57 Hungary Bronze Age
Cluster 58 Belgium, White American
Cluster 59 German EASt
Cluster 60 Mordovians, Chuvash
Cluster 61 Baltic-Finn
Cluster 62 Slovakian, Hungarian, Slovenian
Cluster 63 Austria, Slovenian
Cluster 64 Spanish South (Andalusian, Murcia, Canarias)
Cluster 65 Irish
Cluster 66 South Polish, Slovenian
Cluster 67 French general
Cluster 68 British, Cornwall
Cluster 69 Belgium, Dutch, French North
Cluster 70 Spanish general
Cluster 71 North Sardinian
Cluster 72 Karasuk
Cluster 74 Belorussian, Russian, Ukranian
Cluster 75 Central-South Italian
Cluster 76 Maros Hungary
Cluster 77 French SW, Northern Spanish (Catalan, Rioja, mixed Basque)
Cluster 78 Spanish Asturias
Cluster 80 French SW, Spanish Basque
Cluster 81 Unetice
Cluster 82 French SW, Spanish Basque
Cluster 83 Finnish
Cluster 84 French South, Spanish Catalan/Valencian
Cluster 85 Albanian, Kosovo
Cluster 86 Albanian, Greek North
Cluster 87 Austria Tyrol, German South
Cluster 88 Irish, British
Cluster 90 Aosta, French South, Spanish Balearic
Cluster 92 Albanian, Macedonian
Cluster 93 Western Iberian
Cluster 94 Sicilia, South Italian, Maltese, Greek Islander
Cluster 95 Greek North
Cluster 96 Swiss-German
Cluster 97 German North
Cluster 98 Corsican, Central Italian
Cluster 99 Spanish Canarias, White Caribbean

[Norb]

Admix Results (sorted):

# Population Percent
1 North_European 41.13
2 Atlantic_Med 40.73
3 Gedrosia 8.92
4 Caucasus 8.40


Finished reading population data. 223 populations found.
12 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Mixed_Germanic_Dodecad @ 4.723011
2 Kent_1000Genomes @ 5.872402
3 French_Dodecad @ 6.029714
4 Dutch_Dodecad @ 6.092485
5 French_HGDP @ 6.490587
6 CEU30_1000Genomes @ 6.501669
7 English_Dodecad @ 6.622340
8 Cornwall_1000Genomes @ 7.716799
9 British_Isles_Dodecad @ 7.938526
10 British_Dodecad @ 8.370847
11 Irish_Dodecad @ 9.827902
12 Argyll_1000Genomes @ 9.844515
13 Orcadian_HGDP @ 10.151115
14 Orkney_1000Genomes @ 10.392534
15 German_Dodecad @ 10.832445
16 Norwegian_Dodecad @ 16.617853
17 Hungarians_Behar @ 18.283863
18 Swedish_Dodecad @ 18.993563
19 Cataluna_1000Genomes @ 20.082327
20 Galicia_1000Genomes @ 21.136980

Using 2 populations approximation:
1 50% French_HGDP +50% Mixed_Germanic_Dodecad @ 2.172382


Using 3 populations approximation:
1 50% Kent_1000Genomes +25% North_Italian_HGDP +25% Norwegian_Dodecad @ 1.804984

[Rædwald]

Admix Results (sorted):

# Population Percent
1 North_European 40.83
2 Atlantic_Med 39.47
3 Gedrosia 9.23
4 Caucasus 4.82
5 South_Asian 2.22
6 East_Asian 1.17


Finished reading population data. 223 populations found.
12 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Mixed_Germanic_Dodecad @ 4.877781
2 Kent_1000Genomes @ 5.078285
3 CEU30_1000Genomes @ 5.564498
4 Dutch_Dodecad @ 5.564588
5 English_Dodecad @ 5.605412
6 Cornwall_1000Genomes @ 6.584918
7 British_Isles_Dodecad @ 6.891911
8 British_Dodecad @ 6.953726
9 French_Dodecad @ 7.504677
10 Argyll_1000Genomes @ 7.986934
11 Irish_Dodecad @ 8.120715
12 French_HGDP @ 8.277466
13 Orcadian_HGDP @ 8.385909
14 Orkney_1000Genomes @ 8.624114
15 German_Dodecad @ 11.549559
16 Norwegian_Dodecad @ 15.334586
17 Swedish_Dodecad @ 17.907183
18 Hungarians_Behar @ 19.469786
19 Cataluna_1000Genomes @ 21.054485
20 Galicia_1000Genomes @ 21.995531

Using 2 populations approximation:
1 50% Dutch_Dodecad +50% French_Dodecad @ 3.795885

[Ibericus]

Population
Western European 43.78
Siberian -
East African -
West Central Asian 2.73
South Asian 0.17
West African -
Caucasus 6.87
Finnish 7.14
Mediterranean 15.95
Southwest Asian -
North European 22.88
East Asian 0.42

Dodecad K12b, sorry I didn't put that.

[CommonSense]

It must have taken a lot of work coming up with all of that. Where would I fit among those?

Admix Results (sorted):

# Population Percent
1 North_European 39.13
2 Atlantic_Med 27.37
3 Caucasus 21.27
4 Gedrosia 6.96
5 Southwest_Asian 3.52
6 East_Asian 0.62
7 Southeast_Asian 0.42
8 Siberian 0.4
9 South_Asian 0.32

Single Population Sharing:

# Population (source) Distance
1 Romanians (Behar) 8.64
2 Hungarians (Behar) 10
3 Bulgarian (Dodecad) 10.38
4 Bulgarians (Yunusbayev) 10.94
5 German (Dodecad) 14.28
6 Mixed_Germanic (Dodecad) 17.97
7 O_Italian (Dodecad) 18.6
8 N_Italian (Dodecad) 19.35
9 French (Dodecad) 19.57
10 Dutch (Dodecad) 19.58
11 French (HGDP) 19.79
12 Kent (1000Genomes) 21.62
13 CEU30 (1000Genomes) 21.76
14 English (Dodecad) 21.96
15 North_Italian (HGDP) 22.38
16 TSI30 (Metspalu) 22.42
17 Tuscan (HGDP) 23.02
18 British_Isles (Dodecad) 23.19
19 Greek (Dodecad) 23.59
20 Cornwall (1000Genomes) 23.79

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 63.7% Bulgarian (Dodecad) + 36.3% Mixed_Germanic (Dodecad) @ 2.22
2 70.3% Bulgarian (Dodecad) + 29.7% Argyll (1000Genomes) @ 2.26
3 65.8% Bulgarian (Dodecad) + 34.2% Dutch (Dodecad) @ 2.32
4 70.9% Bulgarian (Dodecad) + 29.1% Orkney (1000Genomes) @ 2.35
5 78.2% German (Dodecad) + 21.8% Armenians (Behar) @ 2.36
6 74.2% Romanians (Behar) + 25.8% Argyll (1000Genomes) @ 2.37
7 68.2% Romanians (Behar) + 31.8% Mixed_Germanic (Dodecad) @ 2.39
8 58.2% Bulgarian (Dodecad) + 41.8% German (Dodecad) @ 2.46
9 71.1% Bulgarian (Dodecad) + 28.9% Orcadian (HGDP) @ 2.52
10 74.9% Romanians (Behar) + 25.1% Orkney (1000Genomes) @ 2.56
11 70.2% Romanians (Behar) + 29.8% Dutch (Dodecad) @ 2.58
12 71.1% Bulgarian (Dodecad) + 28.9% Irish (Dodecad) @ 2.65
13 75.1% Romanians (Behar) + 24.9% Orcadian (HGDP) @ 2.66
14 68.3% Bulgarian (Dodecad) + 31.7% CEU30 (1000Genomes) @ 2.68
15 71.4% Bulgarian (Dodecad) + 28.6% Norwegian (Dodecad) @ 2.71
16 68.5% Bulgarian (Dodecad) + 31.5% English (Dodecad) @ 2.73
17 73.3% German (Dodecad) + 26.7% Turkish (Dodecad) @ 2.74
18 75.1% Romanians (Behar) + 24.9% Irish (Dodecad) @ 2.74
19 72.5% Romanians (Behar) + 27.5% CEU30 (1000Genomes) @ 2.8
20 63.1% Romanians (Behar) + 36.9% German (Dodecad) @ 2.8

[Thracian]

1Caucasus27.95
2Atlantic_Med23.48
3North_European23.32
4Gedrosia10.2
5Southwest_Asian8.37
6Siberian2.36
7South_Asian2.22
8Southeast_Asian0.96
9Northwest_African0.77
10East_Asian0.21
11Sub_Saharan0.16

[Jana]

Mine:

Admix Results (sorted):

1 North_European 44.78
2 Atlantic_Med 27.52
3 Caucasus 17.97
4 Gedrosia 5.56
5 Southwest_Asian 3.18
6 Siberian 0.69
7 Southeast_Asian 0.26
8 East_African 0.04

Stears:

Admix Results (sorted):

1 North_European 44.41
2 Atlantic_Med 23.95
3 Caucasus 17.17
4 Gedrosia 6.14
5 Southwest_Asian 3.56
6 Siberian 2.02
7 South_Asian 1.42
8 Northwest_African 1.05
9 East_African 0.24
10 Sub_Saharan 0.02

[Ibericus]

Admix Results (sorted):

# Population Percent
1 North_European 40.83
2 Atlantic_Med 39.47
3 Gedrosia 9.23
4 Caucasus 4.82
5 South_Asian 2.22
6 East_Asian 1.17


Finished reading population data. 223 populations found.
12 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Mixed_Germanic_Dodecad @ 4.877781
2 Kent_1000Genomes @ 5.078285
3 CEU30_1000Genomes @ 5.564498
4 Dutch_Dodecad @ 5.564588
5 English_Dodecad @ 5.605412
6 Cornwall_1000Genomes @ 6.584918
7 British_Isles_Dodecad @ 6.891911
8 British_Dodecad @ 6.953726
9 French_Dodecad @ 7.504677
10 Argyll_1000Genomes @ 7.986934
11 Irish_Dodecad @ 8.120715
12 French_HGDP @ 8.277466
13 Orcadian_HGDP @ 8.385909
14 Orkney_1000Genomes @ 8.624114
15 German_Dodecad @ 11.549559
16 Norwegian_Dodecad @ 15.334586
17 Swedish_Dodecad @ 17.907183
18 Hungarians_Behar @ 19.469786
19 Cataluna_1000Genomes @ 21.054485
20 Galicia_1000Genomes @ 21.995531

Using 2 populations approximation:
1 50% Dutch_Dodecad +50% French_Dodecad @ 3.795885

cluster 53 : Northern French, Belgium

[Jana]

My mother:

1 North_European 42.51
2 Atlantic_Med 28.16
3 Caucasus 17.84
4 Gedrosia 5.17
5 Southwest_Asian 5.02
6 South_Asian 0.69
7 Siberian 0.29
8 Northwest_African 0.28
9 East_African 0.04

My father:

1 North_European 44.64
2 Atlantic_Med 26.29
3 Caucasus 17.87
4 Gedrosia 5.04
5 Southwest_Asian 4.18
6 Siberian 1.24
7 East_Asian 0.44
8 Southeast_Asian 0.23
9 Northwest_African 0.06

[RandomGuy20]

# Population Percent
1 North_European 49.94
2 Atlantic_Med 29.75
3 Caucasus 11.65
4 Gedrosia 4.96
5 Southwest_Asian 2.1
6 Siberian 1.13
7 Southeast_Asian 0.47