Post Dodecad v3 results

**de Burgh II** · 04-02-2017, 03:04 AM

Admix Results (sorted):

# Population Percent
1 West_European 52.72
2 Mediterranean 27.31
3 East_European 8.84
4 West_Asian 7.9
5 Southwest_Asian 1.68
6 Northeast_Asian 0.76
7 Northwest_African 0.44
8 South_Asian 0.17
9 Palaeo_African 0.12
10 Neo_African 0.06

Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 3.04
2 Orcadian (HGDP) 4.68
3 N._European (Xing) 4.76
4 Orkney (1000 Genomes) 5.01
5 Argyll (1000 Genomes) 5.2
6 French (HGDP) 7.55
7 French (Dodecad) 8.01
8 Mixed_Germanic (Dodecad) 8.81
9 German (Dodecad) 8.85
10 Dutch (Dodecad) 9.47
11 Kent (1000 Genomes) 11.55
12 British_Isles (Dodecad) 13.43
13 British (Dodecad) 13.45
14 Cornwall (1000 Genomes) 13.97
15 Irish (Dodecad) 16.46
16 Slovenian (Xing) 17.27
17 Swedish (Dodecad) 17.95
18 Norwegian (Dodecad) 18.33
19 French_Basque (HGDP) 19.26
20 Hungarians (Behar) 21.36

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 60.6% Swedish (Dodecad) + 39.4% North_Italian (HGDP) @ 1.11
2 61.8% N._European (Xing) + 38.2% French (HGDP) @ 1.24
3 56.7% Norwegian (Dodecad) + 43.3% N_Italian (Dodecad) @ 1.35
4 73.2% CEU (HapMap) + 26.8% French (HGDP) @ 1.37
5 83% N._European (Xing) + 17% Spaniards (Behar) @ 1.39
6 57.2% Swedish (Dodecad) + 42.8% N_Italian (Dodecad) @ 1.46
7 86.3% Orkney (1000 Genomes) + 13.7% O_Italian (Dodecad) @ 1.57
8 87.3% Argyll (1000 Genomes) + 12.7% Sardinian (HGDP) @ 1.58
9 83.9% N._European (Xing) + 16.1% Spanish (Dodecad) @ 1.6
10 84% N._European (Xing) + 16% IBS (1000Genomes) @ 1.6
11 87.1% Orkney (1000 Genomes) + 12.9% Tuscan (HGDP) @ 1.62
12 83.9% Orkney (1000 Genomes) + 16.1% TSI (HapMap) @ 1.66
13 85% Orcadian (HGDP) + 15% Tuscan (Henn) @ 1.66
14 87.3% Orcadian (HGDP) + 12.7% O_Italian (Dodecad) @ 1.68
15 59.9% Argyll (1000 Genomes) + 40.1% French (HGDP) @ 1.7
16 85% Orcadian (HGDP) + 15% TSI (HapMap) @ 1.71
17 83.6% Orkney (1000 Genomes) + 16.4% N_Italian (Dodecad) @ 1.73
18 88.3% Orkney (1000 Genomes) + 11.7% C_Italian (Dodecad) @ 1.74
19 81.9% Argyll (1000 Genomes) + 18.1% Spaniards (Behar) @ 1.76
20 88.1% Orcadian (HGDP) + 11.9% Tuscan (HGDP) @ 1.78

**Oneeye** · 04-02-2017, 03:08 AM

Population
East_European 10.26
West_European 52.04
Mediterranean 26.13
Neo_African -
West_Asian 9.12
South_Asian 0.54
Northeast_Asian 0.88
Southeast_Asian -
East_African -
Southwest_Asian 1.03
Northwest_African -
Palaeo_African -

1 CEU (HapMap) 2.62
2 N._European (Xing) 4.05
3 Argyll (1000 Genomes) 4.38
4 Orcadian (HGDP) 4.49
5 Orkney (1000 Genomes) 4.86
6 German (Dodecad) 7.51
7 Mixed_Germanic (Dodecad) 9.19
8 French (HGDP) 9.33
9 French (Dodecad) 9.82
10 Dutch (Dodecad) 10.32

**Kriptc06** · 04-02-2017, 03:46 AM

Admix Results (sorted):

# Population Percent
1 West_European 28.95
2 Mediterranean 23.41
3 West_Asian 9.87
4 East_European 8.50
5 Northeast_Asian 6.25
6 Neo_African 6.14
7 Southwest_Asian 4.95
8 Palaeo_African 3.66
9 Southeast_Asian 2.89
10 Northwest_African 2.46
11 South_Asian 1.77
12 East_African 1.14

Finished reading population data. 227 populations found.
12 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Tuscan @ 19.222881
2 Tuscan @ 19.827700
3 Slovenian @ 20.365723
4 TSI @ 20.487299
5 Hungarians @ 22.439756
6 Romanians_14 @ 22.459366
7 Ashkenazy_Jews @ 22.867897
8 Balkans @ 23.959633
9 O_Italian @ 24.079758
10 N_Italian @ 24.611769
11 Ashkenazi @ 24.627729
12 Portuguese @ 27.086010
13 N._European @ 27.423233
14 CEU @ 27.581028
15 German @ 27.634872
16 French @ 27.997999
17 Tuscan @ 28.012041
18 French @ 28.058434
19 C_Italian @ 28.204428
20 Argyll @ 29.061092

Using 2 populations approximation:
1 50% FIN +50% Sephardic_Jews @ 12.206638

Using 3 populations approximation:
1 50% French +25% Uzbeks +25% Morocco_S @ 6.946477

Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +++
1 French_Basque + German + Uzbeks + Morocco_S @ 6.569574
2 North_Italian + Swedish + Uzbeks + Morocco_S @ 6.584043
3 French_Basque + Uzbeks + Morocco_S + Slovenian @ 6.602346
4 North_Italian + Norwegian + Uzbeks + Morocco_S @ 6.691434
5 German + Spaniards + Uzbeks + Morocco_S @ 6.794062
6 French_Basque + Algeria + Uzbeks + Slovenian @ 6.917760
7 N_Italian + Norwegian + Uzbeks + Morocco_S @ 6.944901
8 French + French + Uzbeks + Morocco_S @ 6.946477
9 CEU + French + Uzbeks + Morocco_S @ 6.955517
10 Ashkenazi + FIN + IBS + Siddi @ 6.956600
11 N_Italian + Swedish + Uzbeks + Morocco_S @ 6.957281
12 French_Basque + German + Uzbeks + Libya @ 7.001312
13 CEU + French_Basque + Uzbeks + Morocco_S @ 7.006536
14 Ashkenazi + FIN + Spanish + Siddi @ 7.018594
15 French_Basque + Hungarians + Uzbeks + Morocco_S @ 7.021660
16 Ashkenazi + FIN + Spaniards + Siddi @ 7.022382
17 N_Italian + Orkney + Uzbeks + Morocco_S @ 7.040600
18 N_Italian + Orcadian + Uzbeks + Morocco_S @ 7.053648
19 Spaniards + Uzbeks + Argyll + Morocco_S @ 7.055343
20 Ashkenazi + FIN + Portuguese + Siddi @ 7.066617

Done.

**Coolguy1** · 04-02-2017, 03:54 AM

# Population Percent
1 Mediterranean 30.66
2 West_Asian 23.08
3 West_European 22.01
4 East_European 13.11
5 Southwest_Asian 8.13
6 Northwest_African 2.28
7 South_Asian 0.58
8 East_African 0.16

Single Population Sharing:

# Population (source) Distance
1 Ashkenazy_Jews (Behar) 9.06
2 Ashkenazi (Dodecad) 10.64
3 Tuscan (Xing) 12.35
4 Romanians_14 (Behar) 12.58
5 Tuscan (Henn) 13.37
6 TSI (HapMap) 13.57
7 Greek (Dodecad) 14.78
8 O_Italian (Dodecad) 14.92
9 C_Italian (Dodecad) 15.61
10 Morocco_Jews (Behar) 16.29
11 S_Italian_Sicilian (Dodecad) 17.06
12 Balkans (Dodecad) 17.31
13 Sicilian (Dodecad) 18.49
14 Tuscan (HGDP) 19.16
15 S_Italian (Dodecad) 19.67
16 N_Italian (Dodecad) 20.53
17 Sephardic_Jews (Behar) 20.65
18 Stalskoe (Xing) 22.11
19 Turkish (Dodecad) 22.2
20 Slovenian (Xing) 23.18

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 53.5% Slovenian (Xing) + 46.5% Cypriots (Behar) @ 2.87
2 78.5% Ashkenazi (Dodecad) + 21.5% Mixed_Slav (Dodecad) @ 3.36
3 66.9% Ashkenazy_Jews (Behar) + 33.1% Balkans (Dodecad) @ 3.37
4 54.5% Hungarians (Behar) + 45.5% Druze (HGDP) @ 3.43
5 81.5% Ashkenazy_Jews (Behar) + 18.5% Mixed_Slav (Dodecad) @ 3.49
6 83.9% Ashkenazi (Dodecad) + 16.1% Lithuanians (Behar) @ 3.51
7 79% Ashkenazi (Dodecad) + 21% Polish (Dodecad) @ 3.53
8 84.5% Ashkenazi (Dodecad) + 15.5% Lithuanian (Dodecad) @ 3.53
9 84.6% Ashkenazy_Jews (Behar) + 15.4% Belorussian (Behar) @ 3.55
10 86.3% Ashkenazy_Jews (Behar) + 13.7% Lithuanians (Behar) @ 3.58
11 63.1% Cypriots (Behar) + 36.9% FIN (1000Genomes) @ 3.59
12 86.8% Ashkenazy_Jews (Behar) + 13.2% Lithuanian (Dodecad) @ 3.59
13 81.9% Ashkenazy_Jews (Behar) + 18.1% Polish (Dodecad) @ 3.6
14 59.2% Ashkenazy_Jews (Behar) + 40.8% Romanians_14 (Behar) @ 3.61
15 82.1% Ashkenazi (Dodecad) + 17.9% Belorussian (Behar) @ 3.65
16 80.7% Ashkenazi (Dodecad) + 19.3% Russian (Dodecad) @ 3.69
17 62.9% Ashkenazi (Dodecad) + 37.1% Balkans (Dodecad) @ 3.74
18 83.5% Ashkenazy_Jews (Behar) + 16.5% Russian (Dodecad) @ 3.79
19 54.8% Ashkenazi (Dodecad) + 45.2% Romanians_14 (Behar) @ 4.12
20 82.1% Ashkenazi (Dodecad) + 17.9% Russian (HGDP) @ 4.14

**Grace O'Malley** · 04-02-2017, 04:42 AM

Irish at No 17?

# Population Percent
1 West_European 55.75
2 Mediterranean 22.70
3 East_European 12.84
4 West_Asian 7.79

Finished reading population data. 227 populations found.
12 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Argyll @ 1.570250
2 Orkney @ 2.823640
3 Orcadian @ 2.876477
4 N._European @ 3.216774
5 CEU @ 3.936560
6 German @ 5.403244
7 Mixed_Germanic @ 8.660667
8 Dutch @ 10.131947
9 Kent @ 12.218744
10 British_Isles @ 13.739274
11 British @ 14.188494
12 Swedish @ 14.228313
13 French @ 14.858309
14 Cornwall @ 14.961836
15 French @ 15.224509
16 Norwegian @ 15.717998
17 Irish @ 16.710432
18 Slovenian @ 18.720474
19 Hungarians @ 23.325674
20 FIN @ 24.165121

Using 2 populations approximation:
1 50% Argyll +50% Argyll @ 1.570250

Using 3 populations approximation:
1 50% German +25% Mixed_Germanic +25% Orcadian @ 0.880220

Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++++++
1 German + German + Mixed_Germanic + Orcadian @ 0.880220
2 German + German + Mixed_Germanic + Argyll @ 0.887177
3 German + German + Mixed_Germanic + Orkney @ 0.896190
4 Dutch + German + German + Argyll @ 1.087378
5 German + Argyll + Argyll + Argyll @ 1.119728
6 German + German + Kent + Argyll @ 1.162126
7 German + Orkney + Argyll + Argyll @ 1.176629
8 German + Hungarians + Irish + Kent @ 1.236427
9 German + Orcadian + Argyll + Argyll @ 1.245063
10 CEU + Hungarians + Kent + Norwegian @ 1.303219
11 British_Isles + British_Isles + German + Hungarians @ 1.324639
12 Dutch + German + German + Orcadian @ 1.326830
13 CEU + German + German + Mixed_Germanic @ 1.332659
14 German + Orkney + Orkney + Argyll @ 1.348879
15 Hungarians + Mixed_Germanic + Norwegian + Orcadian @ 1.350129
16 Dutch + German + German + Orkney @ 1.363977
17 British_Isles + German + Hungarians + Irish @ 1.366527
18 Dutch + Hungarians + Norwegian + Orcadian @ 1.404119
19 Hungarians + Mixed_Germanic + Norwegian + Orkney @ 1.404485
20 German + Orcadian + Orkney + Argyll @ 1.404889

**frankhammer** · 04-02-2017, 04:43 AM

Admix Results (sorted):

# Population Percent
1 West_European 52.3
2 Mediterranean 25.75
3 East_European 12.52
4 West_Asian 7.45
5 Southwest_Asian 1.06
6 South_Asian 0.92

Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 1.98
2 N._European (Xing) 3.76
3 Argyll (1000 Genomes) 3.8
4 Orcadian (HGDP) 3.91
5 Orkney (1000 Genomes) 4.26
6 German (Dodecad) 5.31
7 Mixed_Germanic (Dodecad) 10.14
8 French (HGDP) 10.81
9 French (Dodecad) 10.87
10 Dutch (Dodecad) 11.13
11 Kent (1000 Genomes) 13.22
12 Slovenian (Xing) 14.61
13 British_Isles (Dodecad) 14.88
14 British (Dodecad) 15.1
15 Cornwall (1000 Genomes) 15.75
16 Swedish (Dodecad) 16.82
17 Irish (Dodecad) 17.8
18 Norwegian (Dodecad) 17.94
19 Hungarians (Behar) 18.66
20 French_Basque (HGDP) 21.8

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 90.9% CEU (HapMap) + 9.1% Hungarians (Behar) @ 0.64
2 88.7% CEU (HapMap) + 11.3% Slovenian (Xing) @ 0.69
3 94.1% CEU (HapMap) + 5.9% Balkans (Dodecad) @ 0.76
4 87.9% Orkney (1000 Genomes) + 12.1% Romanians_14 (Behar) @ 0.78
5 88.9% Orcadian (HGDP) + 11.1% Romanians_14 (Behar) @ 0.92
6 94.6% CEU (HapMap) + 5.4% Romanians_14 (Behar) @ 0.97
7 87.6% Orkney (1000 Genomes) + 12.4% Balkans (Dodecad) @ 1
8 67.4% German (Dodecad) + 32.6% French (HGDP) @ 1.01
9 88.5% Orcadian (HGDP) + 11.5% Balkans (Dodecad) @ 1.02
10 95.4% CEU (HapMap) + 4.6% Mixed_Slav (Dodecad) @ 1.03
11 96.5% CEU (HapMap) + 3.5% Belorussian (Behar) @ 1.04
12 95.3% CEU (HapMap) + 4.7% Polish (Dodecad) @ 1.05
13 96.1% CEU (HapMap) + 3.9% Russian (Dodecad) @ 1.15
14 97% CEU (HapMap) + 3% Lithuanians (Behar) @ 1.27
15 97.2% CEU (HapMap) + 2.8% Lithuanian (Dodecad) @ 1.27
16 96.6% CEU (HapMap) + 3.4% Russian (HGDP) @ 1.27
17 97.3% CEU (HapMap) + 2.7% Chuvashs_16 (Behar) @ 1.41
18 97% CEU (HapMap) + 3% Greek (Dodecad) @ 1.47
19 62.8% Dutch (Dodecad) + 37.2% Hungarians (Behar) @ 1.53
20 80.5% CEU (HapMap) + 19.5% German (Dodecad) @ 1.55

**Grace O'Malley** · 04-02-2017, 04:50 AM

I wonder what sample Dodecad uses for Irish because I never get close on his calculators?

It is also interesting that Frank, Oneeye and De Burgh all get CEU as their no 1. I guess it is a good fit for people of mixed North European ancestry.

**de Burgh II** · 04-02-2017, 05:01 AM

Originally Posted by Grace O'Malley

I wonder what sample Dodecad uses for Irish because I never get close on his calculators?

It is also interesting that Frank, Oneeye and De Burgh all get CEU as their no 1. I guess it is a good fit for people of mixed North European ancestry.

Here ya go!

Irish_D Dodecad 20 2.5 67.9 20.8 0 6.7 0.5 0.1 0 0 1.5 0 0

https://docs.google.com/spreadsheets...COCa89AJ#gid=0

**~~Sikeliot~~** · 04-02-2017, 05:02 AM

# Population Percent
1 Mediterranean 36.33
2 West_European 29.82
3 East_European 12.67
4 West_Asian 12.08
5 Southwest_Asian 5.86
6 Northwest_African 1.51
7 East_African 1.25
8 Neo_African 0.37
9 Palaeo_African 0.12

Single Population Sharing:

# Population (source) Distance
1 Tuscan (Henn) 9.39
2 Tuscan (Xing) 9.4
3 TSI (HapMap) 10.29
4 N_Italian (Dodecad) 11.01
5 O_Italian (Dodecad) 12.28
6 Romanians_14 (Behar) 13.08
7 Tuscan (HGDP) 14.6
8 North_Italian (HGDP) 15.45
9 Balkans (Dodecad) 15.84
10 C_Italian (Dodecad) 16.26
11 Ashkenazy_Jews (Behar) 16.73
12 Slovenian (Xing) 17.68
13 Portuguese (Dodecad) 17.83
14 Ashkenazi (Dodecad) 17.93
15 Hungarians (Behar) 18.12
16 IBS (1000Genomes) 19.32
17 Spanish (Dodecad) 20.02
18 Greek (Dodecad) 20.09
19 Spaniards (Behar) 20.39
20 S_Italian_Sicilian (Dodecad) 20.98

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 60.1% O_Italian (Dodecad) + 39.9% Hungarians (Behar) @ 3.22
2 74.9% O_Italian (Dodecad) + 25.1% Polish (Dodecad) @ 3.57
3 75.9% Tuscan (HGDP) + 24.1% Finnish (Dodecad) @ 3.78
4 55.7% Tuscan (HGDP) + 44.3% Hungarians (Behar) @ 3.9
5 55.1% Tuscan (HGDP) + 44.9% Slovenian (Xing) @ 3.94
6 54% Sicilian (Dodecad) + 46% German (Dodecad) @ 4.01
7 84% Tuscan (Henn) + 16% Belorussian (Behar) @ 4.02
8 52.2% C_Italian (Dodecad) + 47.8% Slovenian (Xing) @ 4.07
9 75.2% O_Italian (Dodecad) + 24.8% Mixed_Slav (Dodecad) @ 4.11
10 59.8% O_Italian (Dodecad) + 40.2% Slovenian (Xing) @ 4.14
11 64.5% Tuscan (Henn) + 35.5% Balkans (Dodecad) @ 4.14
12 80.6% Tuscan (Henn) + 19.4% Polish (Dodecad) @ 4.15
13 52.9% C_Italian (Dodecad) + 47.1% Hungarians (Behar) @ 4.17
14 81.6% O_Italian (Dodecad) + 18.4% Lithuanians (Behar) @ 4.23
15 58.3% Romanians_14 (Behar) + 41.7% Portuguese (Dodecad) @ 4.23
16 79.5% O_Italian (Dodecad) + 20.5% Finnish (Dodecad) @ 4.37
17 82.4% O_Italian (Dodecad) + 17.6% Lithuanian (Dodecad) @ 4.43
18 71.8% C_Italian (Dodecad) + 28.2% FIN (1000Genomes) @ 4.43
19 78.1% O_Italian (Dodecad) + 21.9% Russian (Dodecad) @ 4.48
20 80.9% Tuscan (Henn) + 19.1% Mixed_Slav (Dodecad) @ 4.48

**~~Sikeliot~~** · 04-02-2017, 05:03 AM

The alternate version:

Using 1 population approximation:
1 Tuscan @ 10.439878
2 Tuscan @ 10.483774
3 TSI @ 11.486133
4 N_Italian @ 12.118563
5 O_Italian @ 13.650196
6 Romanians_14 @ 14.481263
7 Tuscan @ 16.129522
8 North_Italian @ 16.988232
9 Balkans @ 17.451427
10 C_Italian @ 18.148546
11 Ashkenazy_Jews @ 18.784306
12 Slovenian @ 19.529737
13 Portuguese @ 19.880548
14 Hungarians @ 19.995298
15 Ashkenazi @ 20.129622
16 IBS @ 21.466003
17 Spanish @ 22.271790
18 Greek @ 22.583429
19 Spaniards @ 22.668583
20 S_Italian_Sicilian @ 23.486015

Using 2 populations approximation:
1 50% C_Italian +50% Slovenian @ 4.636837

Using 3 populations approximation:
1 50% Hungarians +25% Morocco_Jews +25% Sardinian @ 1.962076

Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++
1 Druze + Polish + Spanish + Spanish @ 1.160456
2 C_Italian + French_Basque + Morocco_Jews + Polish @ 1.213673
3 Druze + Polish + Spaniards + Spanish @ 1.234654
4 Druze + IBS + Polish + Spanish @ 1.287314
5 Druze + IBS + Polish + Spaniards @ 1.335111
6 Polish + Sephardic_Jews + Spaniards + TSI @ 1.343173
7 French_Basque + Mixed_Slav + O_Italian + Sephardic_Jews @ 1.350411
8 Ashkenazi + French_Basque + Polish + Sicilian @ 1.411326
9 Druze + IBS + IBS + Polish @ 1.459146
10 Morocco_Jews + Polish + Spaniards + Tuscan @ 1.460306
11 IBS + Polish + S_Italian_Sicilian + Tuscan @ 1.462150
12 Mixed_Slav + S_Italian_Sicilian + Spanish + Tuscan @ 1.480100
13 Ashkenazi + O_Italian + Polish + Spanish @ 1.498627
14 Polish + Sephardic_Jews + Spaniards + Tuscan @ 1.517170
15 Polish + S_Italian_Sicilian + Spanish + Tuscan @ 1.542098
16 Mixed_Slav + S_Italian_Sicilian + Spaniards + Tuscan @ 1.554551
17 IBS + Mixed_Slav + S_Italian_Sicilian + Tuscan @ 1.562692
18 IBS + Polish + S_Italian_Sicilian + Tuscan @ 1.574229
19 Druze + Polish + Spaniards + Spaniards @ 1.574871
20 Sardinian + Sephardic_Jews + Slovenian + Slovenian @ 1.581996