Post Your GEDmatch Dodecad V3 Results

[Pallantides]

Mirror mirror on the wall who is the most western of them all?


My result from the original Spreadsheet:

67.9% West European
13.9% East European
12.9% Mediterranean
4.3% West Asian
1.1% Northeast Asian

My result on Gedmatch:
http://i911.photobucket.com/albums/ac316/Pallantides/v3_zpsddb0e6f4.png

67.46% West European
14.18% East European
12.94% Mediterranean
4.21% West Asian
1.20% Northeast Asian

[Jackson]

Think this is buggered for those not in the original run. Apparently Brits were meant to get like 60 odd western and 1-2 eastern but most people i know (who weren't included) get 50 something western and 10 something eastern. Calculator effect or whatever it's called.

[Pallantides]

Hmm I see...












maybe you just are not western enough.
http://i.imgur.com/rSkuNkb.png

[Jackson]

Hmm I see...












maybe you just are not western enough.
http://i.imgur.com/rSkuNkb.png

:D

Well i wouldn't be that western anyway, but the results are skewed as well - So i can only compare to others not included in the run. I'll post them on here at some point though.

[Pallantides]

:D

Well i wouldn't be that western anyway, but the results are skewed as well - So i can only compare to others not included in the run. I'll post them on here at some point though.

well you can compare with my Gedmatch results, they are separate from the spreadsheet run.

[Jackson]

well you can compare with my Gedmatch results, they are separate from the spreadsheet run.

Ok cool.

[Graham]

Gedmatch run.

West_European 72.58
Mediterranean 17.94
West_Asian 5.27
Southwest_Asian 4.09
Northwest_African 0.13

European 90.52%

Can't remember where to get the spreadsheet results

[Nurzat]

1 West_European 35.25
2 Mediterranean 26.84
3 East_European 20.73
4 West_Asian 14.55
5 Southwest_Asian 1.40
6 Northeast_Asian 1.23

[Pallantides]

Can't remember where to get the spreadsheet results


https://docs.google.com/spreadsheet/ccc?key=0ArAJcY18g2GadDUyeEtjNnBmY09EbnowN3M3UWRyN nc&authkey=COCa89AJ&hl=en_US&authkey=COCa89AJ#gid=0

[Mazik]

Me

East_European 20.62%
West_European 50.58%
Mediterranean 17.00%
Neo_African 0.09%
West_Asian 5.73%
South_Asian 1.41%
Northeast_Asian 3.31%
Southeast_Asian 0.78%
Northwest_African 0.48%

European: 88.2%


Grandfather

East_European 21.10%
West_European 49.74%
Mediterranean 16.49%
West_Asian 4.52%
South_Asian 0.77%
Northeast_Asian 6.29%
Southeast_Asian 0.93%
Palaeo_African 0.16%

European: 87.33%

A true Northerner should score more East european than Med :thumb001:

[Graham]

West_European 71.50
Mediterranean 18.10
West_Asian 6.20
Southwest_Asian 4.0
Northwest_African 0.10

European 89.6 A small difference.

[Jackson]

Here's mine, i'll post other's later or tommorow:

1 West_European 49.65
2 Mediterranean 25.84
3 East_European 11.64
4 West_Asian 9.2
5 Southwest_Asian 2.03
6 Northwest_African 0.81
7 South_Asian 0.31
8 Southeast_Asian 0.23
9 Palaeo_African 0.17
10 East_African 0.09
11 Northeast_Asian 0.03

Paternal Grandfather:

1 West_European 53.1
2 Mediterranean 25.18
3 East_European 12.78
4 West_Asian 6.86
5 Southwest_Asian 0.77
6 Northeast_Asian 0.76
7 South_Asian 0.55

Paternal Grandmother:

1 West_European 54.32
2 Mediterranean 27.69
3 East_European 9.2
4 West_Asian 7.42
5 Southeast_Asian 0.74
6 South_Asian 0.44
7 Palaeo_African 0.13
8 Southwest_Asian 0.05

Aunt (Mother's Sister):

1 West_European 50.67
2 Mediterranean 26.09
3 East_European 11.47
4 West_Asian 10.3
5 South_Asian 1.14
6 Northwest_African 0.32

Mother:

1 West_European 47.6
2 Mediterranean 26.58
3 West_Asian 12.52
4 East_European 11.61
5 South_Asian 1.04
6 Southwest_Asian 0.37
7 Northwest_African 0.19
8 Palaeo_African 0.07
9 Northeast_Asian 0.02

Father:

1 West_European 53.4
2 Mediterranean 26.58
3 East_European 11.1
4 West_Asian 6.97
5 South_Asian 1.07
6 Southwest_Asian 0.4
7 Southeast_Asian 0.39
8 Palaeo_African 0.09

Although i'm in the Dodecad project - I wasn't in it when this run was done, so my results aren't directly comparable with anyone who was included in that run unfortunately.

[ALL]

Which came first East/West/Med, is the question?

East Euro+West Euro+Med=%

Father92.34%E.European 21.29%W.European 48.27%Mediterranean 22.78%

Me 92%
junior#1 91.99%
junior#2 90.7%

[Patches]

Mine:
1 West_European 51.75
2 Mediterranean 25.1
3 East_European 10.87
4 West_Asian 7.79
5 Northwest_African 1.93
6 South_Asian 1.34
7 Southwest_Asian 0.77
8 Palaeo_African 0.25
9 Neo_African 0.14
10 Northeast_Asian 0.06

[evon]

Me:



# Population Percent
1 West_European 67.19
2 Mediterranean 19.67
3 East_European 8.84
4 West_Asian 3.09
5 Southeast_Asian 0.67
6 South_Asian 0.55

Paternal Aunt:

# Population Percent
1 West_European 59.11
2 Mediterranean 21.14
3 East_European 12.3
4 West_Asian 6.44
5 Northeast_Asian 1

Maternal Uncle:

# Population Percent
1 West_European 58.97
2 Mediterranean 21.29
3 East_European 12.4
4 West_Asian 5.42
5 Southeast_Asian 1.04
6 South_Asian 0.84
7 Northwest_African 0.04

Maternal Granny:


# Population Percent
1 West_European 59.08
2 Mediterranean 21.23
3 East_European 11.95
4 West_Asian 5.35
5 South_Asian 1.56
6 Southwest_Asian 0.51
7 Southeast_Asian 0.32

Same south/north divide in Asia as i see in all other runs..

[Albion]

Gedmatch seems to be down :(. Here are my results from DIY Dodecd V3:



----------------------------
FINAL ADMIXTURE PROPORTIONS:
----------------------------

12.05% East_European
54.70% West_European
23.49% Mediterranean
0.16% Neo_African
8.25% West_Asian
1.20% South_Asian
0.11% Northeast_Asian
0.00% Southeast_Asian
0.00% East_African
0.01% Southwest_Asian
0.04% Northwest_African
0.00% Palaeo_African

90.24% European (East + West Euro + Med), or 98.49% if you count West Asian as European (I do, since most of it in Europe is Neolithic).

[Black Wolf]

I am going back a few years in this topic to the Dodecad V3 results. I still find this analysis to be quite interesting and informative. Here are my family members results below from GEDmatch.

Mine:

Population
East_European 15.78%
West_European 42.57%
Mediterranean 22.96%
Neo_African -
West_Asian 10.99%
South_Asian 0.43%
Northeast_Asian 2.84%
Southeast_Asian 0.26%
East_African -
Southwest_Asian 3.38%
Northwest_African 0.63%
Palaeo_African 0.15%

Father:

Population
East_European 16.43%
West_European 32.25%
Mediterranean 23.67%
Neo_African -
West_Asian 15.12%
South_Asian 1.58%
Northeast_Asian 4.35%
Southeast_Asian 0.07%
East_African -
Southwest_Asian 5.74%
Northwest_African 0.56%
Palaeo_African 0.20%

Paternal Grandfather:

Population
East_European 2.31%
West_European 17.76%
Mediterranean 35.39%
Neo_African 0.22%
West_Asian 28.93%
South_Asian -
Northeast_Asian -
Southeast_Asian -
East_African -
Southwest_Asian 12.00%
Northwest_African 3.16%
Palaeo_African 0.23%


Mother:

Population
East_European 12.84%
West_European 52.98%
Mediterranean 24.66%
Neo_African -
West_Asian 8.82%
South_Asian -
Northeast_Asian 0.42%
Southeast_Asian -
East_African 0.19%
Southwest_Asian 0.08%
Northwest_African -
Palaeo_African -


Great Uncle:


Population
East_European 10.09%
West_European 52.33%
Mediterranean 26.59%
Neo_African -
West_Asian 7.86%
South_Asian 0.11%
Northeast_Asian 0.18%
Southeast_Asian -
East_African 0.17%
Southwest_Asian 2.06%
Northwest_African 0.63%
Palaeo_African -

[wvwvw]

http://i43.tinypic.com/67qttv.jpg

[MfA_]

43.59% West_Asian
23.83% Mediterranean
12.61% Southwest_Asian
8.36% South_Asian
6.40% West_European
3.30% East_European
1.63% Northeast_Asian
0.17% Palaeo_African
0.06% Neo_African
0.00% Southeast_Asian
0.00% Northwest_African
0.00% East_African


Using 2 populations approximation:
1 50% Iranians +50% Turkish @ 3.746
2 50% Turks +50% Kurd @ 3.871
3 50% Azerbaijan_Jews +50% Kurd @ 3.905
4 50% Kurd +50% Turks @ 3.950
5 50% Kurd +50% Kurd @ 4.097
6 50% Kurd +50% Turkish @ 4.248
7 50% Azerbaijan_Jews +50% Kurd @ 4.408
8 50% Turks +50% Uzbekistan_Jews @ 4.435
9 50% Turkish +50% Kurd @ 4.551
10 50% Kurd +50% Kurd @ 4.630

[Black Wolf]

http://i43.tinypic.com/67qttv.jpg

Where is your ancestry from again Raine?

[Atlantic Islander]

http://img822.imageshack.us/img822/9753/74872621.png

LOL at Oracle:

Using 2 populations approximation:
1 50% French +50% Tuscan @ 6.052
2 50% French +50% Tuscan @ 6.197
3 50% Sardinian +50% N._European @ 6.432
4 50% French +50% Tuscan @ 6.558
5 50% French +50% TSI @ 6.654
6 50% French +50% Tuscan @ 6.758
7 50% French +50% TSI @ 7.239
8 50% Sardinian +50% Argyll @ 7.343
9 50% French +50% O_Italian @ 7.544
10 50% German +50% Sardinian @ 7.565

[wvwvw]

Where is your ancestry from again Raine?

Greece

[Black Wolf]

http://img822.imageshack.us/img822/9753/74872621.png

LOL at Oracle:

Using 2 populations approximation:
1 50% French +50% Tuscan @ 6.052
2 50% French +50% Tuscan @ 6.197
3 50% Sardinian +50% N._European @ 6.432
4 50% French +50% Tuscan @ 6.558
5 50% French +50% TSI @ 6.654
6 50% French +50% Tuscan @ 6.758
7 50% French +50% TSI @ 7.239
8 50% Sardinian +50% Argyll @ 7.343
9 50% French +50% O_Italian @ 7.544
10 50% German +50% Sardinian @ 7.565

That is a bit strange that Iberian populations do not show up on your Oracle results. But I think those results still make some sense. Iberians basically look like a cross between French and Italians if you think about it.

[Black Wolf]

I find the West European component to be the most interesting as it is the largest component in my own results as well as many other people here. It seems to peak in Norway and is also very strong in Britain all the way down to the Basque country and Germany. I wonder where this component originated from then?

[Konpirike]

East_European 6.00%
West_European 9.36%
Mediterranean 22.23%
Neo_African -
West_Asian 39.08%
South_Asian 8.54%
Northeast_Asian 2.38%
Southeast_Asian 0.33%
East_African 0.57%
Southwest_Asian 11.35%
Northwest_African -
Palaeo_African 0.16%

[Patches]

Dodecad V3
West_European 52.38
Mediterranean 25.41
East_European 11.00
West_Asian 7.89
Northwest_African 1.95
South_Asian 1.36

Using 2 populations approximation:
1 50% CEU +50% CEU @ 2.732
2 50% CEU +50% N._European @ 3.161
3 50% CEU +50% Argyll @ 3.234
4 50% CEU +50% Orcadian @ 3.497
5 50% CEU +50% Orkney @ 3.603
6 50% Cornwall +50% Slovenian @ 3.684
7 50% British +50% Slovenian @ 3.747
8 50% French +50% German @ 3.853
9 50% Kent +50% Slovenian @ 3.864
10 50% Orcadian +50% N._European @ 3.986

[Maleficent]

East_European 6.00%
West_European 9.36%
Mediterranean 22.23%
Neo_African -
West_Asian 39.08%
South_Asian 8.54%
Northeast_Asian 2.38%
Southeast_Asian 0.33%
East_African 0.57%
Southwest_Asian 11.35%
Northwest_African -
Palaeo_African 0.16%
What's your ethnicity?! Armenian?! Turkish?! Georgian?!

[Konpirike]

What's your ethnicity?! Armenian?! Turkish?! Georgian?!

Kurdish, why?

[poiuytrewq0987]

http://i415.photobucket.com/albums/pp231/innocent456/thraexdodecadv3_zpsf3301651.png

[Maleficent]

Kurdish, why?
Just curious :)

[Thrax]

1 Mediterranean 32.34
2 West_Asian 26.26
3 West_European 23.23
4 East_European 10.98
5 Southwest_Asian 7.19

[Atlantic Islander]

From the spreadsheet:
East European 4.6%
West European 39.1%
Mediterranean 34.8%
Neo African 0.6%
West Asian 7.1%
South Asian 0.3%
Northeast Asian 0.2%
Southeast Asian 0.5%
East African 1.8%
Southwest Asian 5.9%
Northwest African 5.3%
Palaeo African 0%

From Gedmatch:
East_European 4.25%
West_European 39.48%
Mediterranean 34.51%
Neo_African 0.78%
West_Asian 7.89%
South_Asian -
Northeast_Asian 0.14%
Southeast_Asian 0.42%
East_African 1.29%
Southwest_Asian 5.97%
Northwest_African 4.99%
Palaeo_African 0.30%

[Jonik]

Dodecad V3

Population
East_European 39.52%
West_European 41.07%
Mediterranean 13.90%
West_Asian 4.08%
Northeast_Asian 1.27%
East_African 0.16%

'Oracle v1'

Single Population Sharing:

# Population (source) Distance
1 Polish (Dodecad) 8
2 Mixed_Slav (Dodecad) 8.72
3 Russian (Dodecad) 12.22
4 Finnish (Dodecad) 14.42
5 Russian (HGDP) 15.45
6 Hungarians (Behar) 16.77
7 FIN (1000Genomes) 17.62
8 Belorussian (Behar) 18.65
9 Slovenian (Xing) 18.73
10 Lithuanians (Behar) 20.51
11 Lithuanian (Dodecad) 23.09
12 German (Dodecad) 24.37
13 Balkans (Dodecad) 25.18
14 Chuvashs_16 (Behar) 28.37
15 N._European (Xing) 30.01
16 Argyll (1000 Genomes) 30.01
17 CEU (HapMap) 30.33
18 Romanians_14 (Behar) 30.5
19 Orcadian (HGDP) 30.92
20 Orkney (1000 Genomes) 30.99

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 56.8% Lithuanian (Dodecad) + 43.2% CEU (HapMap) @ 1.58
2 59.7% Lithuanians (Behar) + 40.3% CEU (HapMap) @ 1.73
3 59.5% Lithuanians (Behar) + 40.5% N._European (Xing) @ 1.77
4 59.5% Lithuanians (Behar) + 40.5% Argyll (1000 Genomes) @ 1.77
5 69.2% Polish (Dodecad) + 30.8% FIN (1000Genomes) @ 1.77
6 56.6% Lithuanian (Dodecad) + 43.4% Argyll (1000 Genomes) @ 1.85
7 54.3% Lithuanians (Behar) + 45.7% German (Dodecad) @ 1.92
8 56.6% Lithuanian (Dodecad) + 43.4% N._European (Xing) @ 1.93
9 51.4% Lithuanian (Dodecad) + 48.6% German (Dodecad) @ 1.94
10 57.3% Lithuanian (Dodecad) + 42.7% Orcadian (HGDP) @ 1.98
11 60.2% Lithuanians (Behar) + 39.8% Orcadian (HGDP) @ 2.02
12 64% Belorussian (Behar) + 36% Swedish (Dodecad) @ 2.04
13 67.4% Mixed_Slav (Dodecad) + 32.6% FIN (1000Genomes) @ 2.09
14 60.2% Lithuanians (Behar) + 39.8% Orkney (1000 Genomes) @ 2.1
15 57.4% Lithuanian (Dodecad) + 42.6% Orkney (1000 Genomes) @ 2.1
16 66.4% Belorussian (Behar) + 33.6% Norwegian (Dodecad) @ 2.13
17 64% Lithuanians (Behar) + 36% Mixed_Germanic (Dodecad) @ 2.62
18 79.9% Mixed_Slav (Dodecad) + 20.1% Swedish (Dodecad) @ 2.72
19 65% Lithuanians (Behar) + 35% Dutch (Dodecad) @ 2.78
20 69.6% Belorussian (Behar) + 30.4% Irish (Dodecad) @ 2.86

4-Ancestors Oracle

Using 1 population approximation:
1 Polish @ 8.848
2 Mixed_Slav @ 9.731
3 Russian @ 13.456
4 Finnish @ 15.600
5 Russian @ 16.725
6 Hungarians @ 18.535
7 FIN @ 19.339
8 Belorussian @ 20.643
9 Slovenian @ 20.700
10 Lithuanians @ 22.583
227 iterations.



Using 2 populations approximation:
1 50% German +50% Lithuanian @ 2.079
2 50% German +50% Lithuanians @ 2.895
3 50% Lithuanian +50% Argyll @ 4.291
4 50% CEU +50% Lithuanian @ 4.300
5 50% Lithuanian +50% N._European @ 4.348
6 50% Lithuanian +50% Orcadian @ 4.795
7 50% Lithuanian +50% Orkney @ 4.897
8 50% Lithuanians +50% Slovenian @ 5.268
9 50% FIN +50% Mixed_Slav @ 5.301
10 50% Belorussian +50% FIN @ 5.331
25878 iterations.



Using 3 populations approximation:
1 50% Mixed_Slav +25% Lithuanians +25% Norwegian @ 1.446
2 50% Mixed_Slav +25% Lithuanians +25% Swedish @ 1.538
3 50% Mixed_Slav +25% Lithuanian +25% Norwegian @ 1.588
4 50% Belorussian +25% Finnish +25% Mixed_Germanic @ 1.702
5 50% Belorussian +25% Finnish +25% Orcadian @ 1.741
6 50% Belorussian +25% Finnish +25% Argyll @ 1.746
7 50% Belorussian +25% Finnish +25% Orkney @ 1.765
8 50% Mixed_Slav +25% British_Isles +25% Lithuanian @ 1.869
9 50% Russian +25% Cornwall +25% Lithuanians @ 1.890
10 50% Lithuanian +25% Orkney +25% Slovenian @ 1.909
423899 iterations.



Using 4 populations approximation:
1 British_Isles + Lithuanian + Polish + Russian @ 1.038
2 Kent + Lithuanian + Polish + Russian @ 1.063
3 British + Lithuanian + Polish + Russian @ 1.136
4 Cornwall + Lithuanian + Polish + Russian @ 1.174
5 FIN + Lithuanian + Polish + Slovenian @ 1.240
6 FIN + Lithuanians + Polish + Slovenian @ 1.252
7 British_Isles + Lithuanian + Mixed_Slav + Russian @ 1.260
8 Kent + Lithuanians + Polish + Russian @ 1.274
9 Kent + Lithuanians + Polish + Russian @ 1.295
10 British_Isles + Lithuanians + Polish + Russian @ 1.313
11 British_Isles + Lithuanians + Mixed_Slav + Russian @ 1.328
12 British + Lithuanian + Mixed_Slav + Russian @ 1.343
13 Cornwall + Lithuanian + Mixed_Slav + Russian @ 1.416
14 Kent + Lithuanian + Mixed_Slav + Russian @ 1.425
15 Lithuanians + Mixed_Slav + Mixed_Slav + Norwegian @ 1.446
16 Kent + Lithuanians + Mixed_Slav + Russian @ 1.452
17 Irish + Lithuanian + Polish + Russian @ 1.463
18 British + Lithuanians + Polish + Russian @ 1.493
19 British + Lithuanians + Mixed_Slav + Russian @ 1.506
20 Dutch + Lithuanians + Polish + Russian @ 1.507
2412674 iterations.

[Sehnsucht]

Me

Population
East_European 10.89%
West_European 53.20%
Mediterranean 23.63%
Neo_African -
West_Asian 7.76%
South_Asian 0.73%
Northeast_Asian 1.08%
Southeast_Asian 0.53%
East_African -
Southwest_Asian 2.11%
Northwest_African -
Palaeo_African 0.07%


Single Population Sharing:

# Population (source) Distance
1 N._European (Xing) 1.52
2 CEU (HapMap) 2.62
3 Argyll (1000 Genomes) 2.95
4 Orcadian (HGDP) 3.59
5 Orkney (1000 Genomes) 3.69
6 German (Dodecad) 5.92
7 Mixed_Germanic (Dodecad) 8.25
8 Dutch (Dodecad) 9.49
9 French (HGDP) 11.41
10 Kent (1000 Genomes) 11.64
11 French (Dodecad) 11.76
12 British_Isles (Dodecad) 13.23
13 British (Dodecad) 13.44
14 Cornwall (1000 Genomes) 14.07
15 Swedish (Dodecad) 15.14
16 Slovenian (Xing) 15.97
17 Irish (Dodecad) 16.01
18 Norwegian (Dodecad) 16.13
19 Hungarians (Behar) 20.32
20 French_Basque (HGDP) 22.95

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 96% N._European (Xing) + 4% N_Italian (Dodecad) @ 1.02
2 96.9% N._European (Xing) + 3.1% Tuscan (HGDP) @ 1.04
3 96.6% N._European (Xing) + 3.4% North_Italian (HGDP) @ 1.04
4 97.5% N._European (Xing) + 2.5% Greek (Dodecad) @ 1.06
5 97.3% N._European (Xing) + 2.7% C_Italian (Dodecad) @ 1.08
6 96.8% N._European (Xing) + 3.2% O_Italian (Dodecad) @ 1.08
7 97.7% N._European (Xing) + 2.3% Sicilian (Dodecad) @ 1.09
8 96.8% N._European (Xing) + 3.2% Romanians_14 (Behar) @ 1.09
9 97.8% N._European (Xing) + 2.2% S_Italian (Dodecad) @ 1.1
10 97.7% N._European (Xing) + 2.3% S_Italian_Sicilian (Dodecad) @ 1.11
11 96.4% N._European (Xing) + 3.6% Tuscan (Xing) @ 1.12
12 97.3% N._European (Xing) + 2.7% Sardinian (HGDP) @ 1.12
13 96.4% N._European (Xing) + 3.6% TSI (HapMap) @ 1.13
14 98% N._European (Xing) + 2% Sephardic_Jews (Behar) @ 1.15
15 96.9% N._European (Xing) + 3.1% Balkans (Dodecad) @ 1.16
16 98.9% N._European (Xing) + 1.1% Yakut (HGDP) @ 1.16
17 98.8% N._European (Xing) + 1.2% Dolgan (Rasmussen) @ 1.16
18 99% N._European (Xing) + 1% Evenk_15 (Rasmussen) @ 1.17
19 98.3% N._European (Xing) + 1.7% Cypriots (Behar) @ 1.17
20 98.6% N._European (Xing) + 1.4% Yukagir (Rasmussen) @ 1.17

[Sehnsucht]

My Mother



Population
East_European 11.17%
West_European 50.45%
Mediterranean 24.34%
Neo_African -
West_Asian 9.93%
South_Asian 0.52%
Northeast_Asian 1.24%
Southeast_Asian -
East_African 0.08%
Southwest_Asian 2.18%
Northwest_African 0.09%
Palaeo_African -


Single Population Sharing:

# Population (source) Distance
1 N._European (Xing) 4.27
2 CEU (HapMap) 4.39
3 Argyll (1000 Genomes) 5.37
4 Orcadian (HGDP) 6.11
5 Orkney (1000 Genomes) 6.37
6 German (Dodecad) 6.78
7 Mixed_Germanic (Dodecad) 10.31
8 French (HGDP) 11.32
9 French (Dodecad) 11.79
10 Dutch (Dodecad) 11.85
11 Slovenian (Xing) 13.96
12 Kent (1000 Genomes) 14.03
13 British_Isles (Dodecad) 15.76
14 British (Dodecad) 15.91
15 Cornwall (1000 Genomes) 16.43
16 Swedish (Dodecad) 17.81
17 Hungarians (Behar) 18.46
18 Irish (Dodecad) 18.55
19 Norwegian (Dodecad) 18.98
20 French_Basque (HGDP) 23.1

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 91% Argyll (1000 Genomes) + 9% Lebanese (Behar) @ 1.15
2 86.3% Argyll (1000 Genomes) + 13.7% Ashkenazy_Jews (Behar) @ 1.25
3 91.3% Argyll (1000 Genomes) + 8.7% Samaritians (Behar) @ 1.25
4 90.8% N._European (Xing) + 9.2% Greek (Dodecad) @ 1.29
5 86.9% Argyll (1000 Genomes) + 13.1% Ashkenazi (Dodecad) @ 1.32
6 91.3% Argyll (1000 Genomes) + 8.7% Jordanians_19 (Behar) @ 1.39
7 91% Argyll (1000 Genomes) + 9% Palestinian (HGDP) @ 1.4
8 91.3% Argyll (1000 Genomes) + 8.7% Druze (HGDP) @ 1.42
9 91.3% Argyll (1000 Genomes) + 8.7% Cypriots (Behar) @ 1.45
10 90.1% CEU (HapMap) + 9.9% Stalskoe (Xing) @ 1.45
11 91.3% Argyll (1000 Genomes) + 8.7% Syrians (Behar) @ 1.45
12 93% CEU (HapMap) + 7% Iranians (Behar) @ 1.49
13 93% CEU (HapMap) + 7% Iranian (Dodecad) @ 1.5
14 91.5% Argyll (1000 Genomes) + 8.5% Iraq_Jews (Behar) @ 1.52
15 91% Argyll (1000 Genomes) + 9% Georgia_Jews (Behar) @ 1.53
16 92.4% CEU (HapMap) + 7.6% Kurd (Dodecad) @ 1.56
17 91.3% Argyll (1000 Genomes) + 8.7% Iranian_Jews (Behar) @ 1.57
18 88.6% Argyll (1000 Genomes) + 11.4% Morocco_Jews (Behar) @ 1.58
19 68% Norwegian (Dodecad) + 32% Greek (Dodecad) @ 1.61
20 93.2% N._European (Xing) + 6.8% Cypriots (Behar) @ 1.63

[Sehnsucht]

Maternal Aunt


Population
East_European 10.84%
West_European 49.12%
Mediterranean 27.00%
Neo_African -
West_Asian 9.00%
South_Asian 1.61%
Northeast_Asian 0.95%
Southeast_Asian -
East_African -
Southwest_Asian 1.43%
Northwest_African -
Palaeo_African -

Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 4.94
2 N._European (Xing) 6.19
3 Argyll (1000 Genomes) 6.87
4 Orcadian (HGDP) 7.06
5 Orkney (1000 Genomes) 7.41
6 German (Dodecad) 8.21
7 French (HGDP) 9.5
8 French (Dodecad) 9.73
9 Mixed_Germanic (Dodecad) 11.93
10 Dutch (Dodecad) 12.98
11 Slovenian (Xing) 13.8
12 Kent (1000 Genomes) 15.14
13 British_Isles (Dodecad) 16.99
14 British (Dodecad) 17.05
15 Cornwall (1000 Genomes) 17.56
16 Hungarians (Behar) 17.92
17 Irish (Dodecad) 19.93
18 Swedish (Dodecad) 20.03
19 French_Basque (HGDP) 20.8
20 Norwegian (Dodecad) 20.99

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 85.7% Argyll (1000 Genomes) + 14.3% Sicilian (Dodecad) @ 1.53
2 84.2% Orkney (1000 Genomes) + 15.8% Greek (Dodecad) @ 1.61
3 89.2% CEU (HapMap) + 10.8% Greek (Dodecad) @ 1.64
4 91.9% CEU (HapMap) + 8.1% Cypriots (Behar) @ 1.68
5 83.3% Argyll (1000 Genomes) + 16.7% C_Italian (Dodecad) @ 1.7
6 68.4% Dutch (Dodecad) + 31.6% Romanians_14 (Behar) @ 1.72
7 62.1% British (Dodecad) + 37.9% Romanians_14 (Behar) @ 1.72
8 90.5% CEU (HapMap) + 9.5% Sephardic_Jews (Behar) @ 1.73
9 89.7% CEU (HapMap) + 10.3% Sicilian (Dodecad) @ 1.74
10 89.3% CEU (HapMap) + 10.7% S_Italian_Sicilian (Dodecad) @ 1.76
11 90% CEU (HapMap) + 10% S_Italian (Dodecad) @ 1.76
12 62.2% British_Isles (Dodecad) + 37.8% Romanians_14 (Behar) @ 1.77
13 85.3% Argyll (1000 Genomes) + 14.7% S_Italian_Sicilian (Dodecad) @ 1.77
14 86.3% Argyll (1000 Genomes) + 13.7% S_Italian (Dodecad) @ 1.78
15 80.7% Argyll (1000 Genomes) + 19.3% O_Italian (Dodecad) @ 1.78
16 87.4% CEU (HapMap) + 12.6% Ashkenazy_Jews (Behar) @ 1.8
17 84.8% Orkney (1000 Genomes) + 15.2% Sicilian (Dodecad) @ 1.8
18 86.9% Argyll (1000 Genomes) + 13.1% Sephardic_Jews (Behar) @ 1.81
19 83.2% CEU (HapMap) + 16.8% Tuscan (Xing) @ 1.81
20 85% Orcadian (HGDP) + 15% Greek (Dodecad) @ 1.82

[Sehnsucht]

Maternal Grandmother


Population
East_European 9.68%
West_European 52.31%
Mediterranean 25.99%
Neo_African -
West_Asian 8.84%
South_Asian 1.58%
Northeast_Asian -
Southeast_Asian -
East_African -
Southwest_Asian 1.51%
Northwest_African -
Palaeo_African -









Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 2.74
2 N._European (Xing) 3.82
3 Argyll (1000 Genomes) 4.42
4 Orcadian (HGDP) 4.45
5 Orkney (1000 Genomes) 4.74
6 German (Dodecad) 7.82
7 Mixed_Germanic (Dodecad) 8.78
8 French (HGDP) 9.09
9 French (Dodecad) 9.59
10 Dutch (Dodecad) 9.8
11 Kent (1000 Genomes) 11.97
12 British_Isles (Dodecad) 13.8
13 British (Dodecad) 13.89
14 Cornwall (1000 Genomes) 14.41
15 Slovenian (Xing) 16.26
16 Irish (Dodecad) 16.74
17 Swedish (Dodecad) 17.45
18 Norwegian (Dodecad) 18.12
19 Hungarians (Behar) 20.51
20 French_Basque (HGDP) 20.87

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 84.5% Orkney (1000 Genomes) + 15.5% Tuscan (Xing) @ 1.1
2 84.4% Orkney (1000 Genomes) + 15.6% TSI (HapMap) @ 1.15
3 84.4% Orkney (1000 Genomes) + 15.6% Tuscan (Henn) @ 1.16
4 92.3% Orkney (1000 Genomes) + 7.7% Cypriots (Behar) @ 1.18
5 90% Orkney (1000 Genomes) + 10% S_Italian_Sicilian (Dodecad) @ 1.19
6 91% Orkney (1000 Genomes) + 9% Sephardic_Jews (Behar) @ 1.21
7 88.6% Orkney (1000 Genomes) + 11.4% Ashkenazi (Dodecad) @ 1.23
8 69.2% British_Isles (Dodecad) + 30.8% Romanians_14 (Behar) @ 1.26
9 76.1% Dutch (Dodecad) + 23.9% Romanians_14 (Behar) @ 1.26
10 75.7% Dutch (Dodecad) + 24.3% Balkans (Dodecad) @ 1.28
11 90.7% Orkney (1000 Genomes) + 9.3% S_Italian (Dodecad) @ 1.28
12 88.3% Orkney (1000 Genomes) + 11.7% Ashkenazy_Jews (Behar) @ 1.3
13 89.4% Orcadian (HGDP) + 10.6% Ashkenazi (Dodecad) @ 1.32
14 85.5% Orcadian (HGDP) + 14.5% Tuscan (Xing) @ 1.34
15 90.1% Orkney (1000 Genomes) + 9.9% Morocco_Jews (Behar) @ 1.34
16 90.7% Orcadian (HGDP) + 9.3% Morocco_Jews (Behar) @ 1.35
17 89% Orcadian (HGDP) + 11% Ashkenazy_Jews (Behar) @ 1.37
18 88.8% Orkney (1000 Genomes) + 11.2% C_Italian (Dodecad) @ 1.37
19 92.9% Orcadian (HGDP) + 7.1% Cypriots (Behar) @ 1.39
20 87% Orkney (1000 Genomes) + 13% O_Italian (Dodecad) @ 1.39

[JQP4545]

Population
East_European 10.67%
West_European 42.61%
Mediterranean 28.52%
Neo_African 0.90%
West_Asian 13.14%
South_Asian 0.10%
Southwest_Asian 2.36%
Northwest_African 1.27%
Palaeo_African 0.41%

European: 81.8% Mideast: 15.6% African: 2.58%

[Geni]

Geni Dodecad V3 results
.............................................
34.07% Mediterranean
24.82% West_European
21.44% West_Asian
10.80% East_European
7.39% Southwest_Asian

[HellLander87]

Uncle's
1 Mediterranean 32.6
2 West_European 29.98
3 West_Asian 17.97
4 East_European 11.5
5 Southwest_Asian 7.51
6 Northwest_African 0.44

Mine
1 Mediterranean 34.01
2 West_European 25.16
3 West_Asian 18.55
4 East_European 12.26
5 Southwest_Asian 7.19
6 Northwest_African 1.84
7 South_Asian 0.69
8 Southeast_Asian 0.28
9 East_African 0.01

[Anglojew]

East_European 7.52%
West_European 35.68%
Mediterranean 30.38%
Neo_African 0.27%
West_Asian 15.97%
South_Asian 1.91%
Northeast_Asian 0.34%
Southeast_Asian 0.35%
East_African 0.13%
Southwest_Asian 6.33%
Northwest_African 1.10%
Palaeo_African -

[Geni]

We have fast the same..(hell87)

[Wulf Talented]

Dodecad V3 Oracle results:

Admix Results (sorted):

# Population Percent
1 West_European 53.09
2 Mediterranean 24.85
3 East_European 10.75
4 West_Asian 8.09
5 Southwest_Asian 1.58
6 Northeast_Asian 0.74
7 Northwest_African 0.62
8 South_Asian 0.19
9 East_African 0.09

Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 1.68
2 N._European (Xing) 2.35
3 Argyll (1000 Genomes) 3.01
4 Orcadian (HGDP) 3.28
5 Orkney (1000 Genomes) 3.55
6 German (Dodecad) 6.35
7 Mixed_Germanic (Dodecad) 8.34
8 Dutch (Dodecad) 9.52
9 French (HGDP) 10.4
10 French (Dodecad) 10.78
11 Kent (1000 Genomes) 11.65
12 British_Isles (Dodecad) 13.35
13 British (Dodecad) 13.53
14 Cornwall (1000 Genomes) 14.14
15 Swedish (Dodecad) 15.95
16 Slovenian (Xing) 15.99
17 Irish (Dodecad) 16.25
18 Norwegian (Dodecad) 16.82
19 Hungarians (Behar) 20.26
20 French_Basque (HGDP) 21.94

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 94.6% Orcadian (HGDP) + 5.4% Palestinian (HGDP) @ 0.85
2 94.7% Orcadian (HGDP) + 5.3% Jordanians_19 (Behar) @ 0.85
3 94.6% Orcadian (HGDP) + 5.4% Lebanese (Behar) @ 0.86
4 91.2% Orkney (1000 Genomes) + 8.8% Ashkenazy_Jews (Behar) @ 0.89
5 94.2% Orkney (1000 Genomes) + 5.8% Lebanese (Behar) @ 0.9
6 94.4% Orkney (1000 Genomes) + 5.6% Samaritians (Behar) @ 0.93
7 94.8% Orcadian (HGDP) + 5.2% Syrians (Behar) @ 0.94
8 94.8% Orcadian (HGDP) + 5.2% Samaritians (Behar) @ 0.94
9 91.5% Orkney (1000 Genomes) + 8.5% Ashkenazi (Dodecad) @ 0.95
10 94.2% Orkney (1000 Genomes) + 5.8% Palestinian (HGDP) @ 0.96
11 92.5% Orkney (1000 Genomes) + 7.5% Morocco_Jews (Behar) @ 0.96
12 94.5% Orcadian (HGDP) + 5.5% Egypt (Henn) @ 0.99
13 94.4% Orkney (1000 Genomes) + 5.6% Jordanians_19 (Behar) @ 1
14 69.7% British_Isles (Dodecad) + 30.3% Balkans (Dodecad) @ 1.02
15 91.9% Orcadian (HGDP) + 8.1% Ashkenazy_Jews (Behar) @ 1.04
16 93.2% Orcadian (HGDP) + 6.8% Morocco_Jews (Behar) @ 1.04
17 94.6% Orcadian (HGDP) + 5.4% Georgia_Jews (Behar) @ 1.08
18 93.5% N._European (Xing) + 6.5% North_Italian (HGDP) @ 1.08
19 94.4% Orkney (1000 Genomes) + 5.6% Druze (HGDP) @ 1.09
20 94.5% Argyll (1000 Genomes) + 5.5% Sephardic_Jews (Behar) @ 1.09

[Sehnsucht]

Here's mine, i'll post other's later or tommorow:

1 West_European 49.65
2 Mediterranean 25.84
3 East_European 11.64
4 West_Asian 9.2
5 Southwest_Asian 2.03
6 Northwest_African 0.81
7 South_Asian 0.31
8 Southeast_Asian 0.23
9 Palaeo_African 0.17
10 East_African 0.09
11 Northeast_Asian 0.03

Paternal Grandfather:

1 West_European 53.1
2 Mediterranean 25.18
3 East_European 12.78
4 West_Asian 6.86
5 Southwest_Asian 0.77
6 Northeast_Asian 0.76
7 South_Asian 0.55

Paternal Grandmother:

1 West_European 54.32
2 Mediterranean 27.69
3 East_European 9.2
4 West_Asian 7.42
5 Southeast_Asian 0.74
6 South_Asian 0.44
7 Palaeo_African 0.13
8 Southwest_Asian 0.05

Aunt (Mother's Sister):

1 West_European 50.67
2 Mediterranean 26.09
3 East_European 11.47
4 West_Asian 10.3
5 South_Asian 1.14
6 Northwest_African 0.32

Mother:

1 West_European 47.6
2 Mediterranean 26.58
3 West_Asian 12.52
4 East_European 11.61
5 South_Asian 1.04
6 Southwest_Asian 0.37
7 Northwest_African 0.19
8 Palaeo_African 0.07
9 Northeast_Asian 0.02

Father:

1 West_European 53.4
2 Mediterranean 26.58
3 East_European 11.1
4 West_Asian 6.97
5 South_Asian 1.07
6 Southwest_Asian 0.4
7 Southeast_Asian 0.39
8 Palaeo_African 0.09


I find it rather interesting and coincidental that both your mother and father have the exact same Med%, 26.58. What is even more interesting and surprising is how high your SW Asian is compared to your parents, you came out with 2.03% coming from parents with 0.4% and 0.37% respectively. I'm not sure how that happens.

[Jackson]

I find it rather interesting and coincidental that both your mother and father have the exact same Med%, 26.58. What is even more interesting and surprising is how high your SW Asian is compared to your parents, you came out with 2.03% coming from parents with 0.4% and 0.37% respectively. I'm not sure how that happens.

Yeah that is true, it is quite a strange phenomenon that happens on pretty much every calculator. Most of the SW Asian seems to come from my Grandmother (although my Grandfather has a bit too), although she is low on West Asian. Maybe i just happened to inherit more of those and got more than average for my family, while my Dad got less than average. What is interesting is that my Mother and my Aunt seem to have a bit of ancestry from southern or central Europe, and they almost always get none of that component, but increased Mediterranean and West Asian scores.

It could be something fairly distant on my father's side that pops up now and again perhaps?

[Sehnsucht]

The Hesselink clan as you know consists of four members: myself, my mom, my aunt, and my grandmother: Today I proudly introduce to y'all a fifth member of the clan: my paternal grandfather

I'm so excited to have received his initial results at 23andme yesterday. No ancestry composition yet, but that didn't stop me from uploading the raw data to GEDMATCH. I emailed Dr Mcdonald as well, still waiting to hear back from him, hopefully he will respond soon but I hear he is backlogged at the moment.

Here are the Dodecad V3 results of my paternal grandfather


Herr Hesselink's paternal grandfather

Population
East_European 16.58%
West_European 48.77%
Mediterranean 25.50%
Neo_African -
West_Asian 4.53%
South_Asian 2.77%
Northeast_Asian 0.16%
Southeast_Asian 0.07%
East_African 0.75%
Southwest_Asian -
Northwest_African 0.86%
Palaeo_African -

90.85% European



Single Population Sharing:


# Population (source) Distance
1 German (Dodecad) 5.73
2 CEU (HapMap) 7.55
3 N._European (Xing) 8.52
4 Argyll (1000 Genomes) 8.6
5 Orcadian (HGDP) 8.91
6 Orkney (1000 Genomes) 9.11
7 Slovenian (Xing) 11.12
8 French (Dodecad) 14.03
9 Hungarians (Behar) 14.42
10 French (HGDP) 14.59
11 Mixed_Germanic (Dodecad) 15.49
12 Dutch (Dodecad) 16.3
13 Kent (1000 Genomes) 18.3
14 Swedish (Dodecad) 19.47
15 British_Isles (Dodecad) 19.75
16 British (Dodecad) 20.03
17 Cornwall (1000 Genomes) 20.79
18 Norwegian (Dodecad) 21.24
19 FIN (1000Genomes) 22.12
20 Irish (Dodecad) 22.55

Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 62.5% Orkney (1000 Genomes) + 37.5% Hungarians (Behar) @ 3.48
2 76.9% French (HGDP) + 23.1% Lithuanian (Dodecad) @ 3.53
3 75.9% French (HGDP) + 24.1% Lithuanians (Behar) @ 3.56
4 63.1% Orcadian (HGDP) + 36.9% Hungarians (Behar) @ 3.58
5 86.1% CEU (HapMap) + 13.9% Belorussian (Behar) @ 3.61
6 81.5% CEU (HapMap) + 18.5% Polish (Dodecad) @ 3.64
7 67.9% CEU (HapMap) + 32.1% Hungarians (Behar) @ 3.71
8 82.2% CEU (HapMap) + 17.8% Mixed_Slav (Dodecad) @ 3.8
9 58.6% Hungarians (Behar) + 41.4% British (Dodecad) @ 3.88
10 84.9% German (Dodecad) + 15.1% Portuguese (Dodecad) @ 3.89
11 89.5% German (Dodecad) + 10.5% Sardinian (HGDP) @ 3.91
12 86.1% German (Dodecad) + 13.9% IBS (1000Genomes) @ 3.92
13 58.2% Hungarians (Behar) + 41.8% British_Isles (Dodecad) @ 3.93
14 86.1% German (Dodecad) + 13.9% Spanish (Dodecad) @ 3.96
15 64.5% Argyll (1000 Genomes) + 35.5% Hungarians (Behar) @ 4.01
16 56.3% Hungarians (Behar) + 43.7% Kent (1000 Genomes) @ 4.03
17 87.8% German (Dodecad) + 12.2% North_Italian (HGDP) @ 4.04
18 53.3% Hungarians (Behar) + 46.7% Dutch (Dodecad) @ 4.07
19 59.6% Hungarians (Behar) + 40.4% Cornwall (1000 Genomes) @ 4.08
20 84.8% CEU (HapMap) + 15.2% Russian (Dodecad) @ 4.1


90.85% total European, which is the highest so far among the profiles in my group. 4.53% West Asian and 0 Southwest Asian, which is very low even for Europeans. So far, I'm quite impressed. There is however, a dark side, 2.77% South Asian and .75% East African are very high. Almost all Europeans have 10-20% non-European on this particular calculator depending on what part of Europe you are from, but it's usually some form of Middle Eastern, not South Asian and African.

I'm going to have to send this data file to Dr Mcdonald to see what he says about it.

[Caismeachd]

# Population Percent
1 West_European 51.55
2 Mediterranean 25.22
3 East_European 13.89
4 West_Asian 8.34
5 South_Asian 0.66
6 Southeast_Asian 0.19
7 Northeast_Asian 0.1
8 Neo_African 0.05

# Primary Population (source) Secondary Population (source) Distance
1 84.1% Orkney (1000 Genomes) + 15.9% Balkans (Dodecad) @ 0.79
2 85% Orcadian (HGDP) + 15% Balkans (Dodecad) @ 0.85
3 86.4% Argyll (1000 Genomes) + 13.6% Balkans (Dodecad) @ 0.9
4 73.1% Orcadian (HGDP) + 26.9% Slovenian (Xing) @ 1.13
5 87.2% Argyll (1000 Genomes) + 12.8% Romanians_14 (Behar) @ 1.2
6 78.1% Orcadian (HGDP) + 21.9% Hungarians (Behar) @ 1.22
7 85% Orkney (1000 Genomes) + 15% Romanians_14 (Behar) @ 1.25
8 84.2% CEU (HapMap) + 15.8% Hungarians (Behar) @ 1.26
9 80.3% CEU (HapMap) + 19.7% Slovenian (Xing) @ 1.26
10 54.5% Kent (1000 Genomes) + 45.5% Hungarians (Behar) @ 1.34

[Sehnsucht]

Herr Hesselink's paternal grandfather

Population
East_European 16.58%
West_European 48.77%
Mediterranean 25.50%
Neo_African -
West_Asian 4.53%
South_Asian 2.77%
Northeast_Asian 0.16%
Southeast_Asian 0.07%
East_African 0.75%
Southwest_Asian -
Northwest_African 0.86%
Palaeo_African -


The first thing you will probably notice when looking at my paternal grandfather's results, the South Asian 2.77% jumps out at you immediately. I know that is a very sky high percentage compared to other people with his ancestry. Most don't go over 2%. But he also has less West Asian and Southwest Asian than average and his total combined European score (E Euro+W Euro+Med) of 90.85% is not too low by any means. I don't know what to say whether these percentages give me the green light to accept my grandfather as German/French. Does this mean that he has recent gypsy or some other form of South Asian ancestry? Or is 10% of any kind of non-Euro ancestry normal for Europeans? At least now I know that he isn't Jewish given that there is no SW Asian and very low West Asian

[Yehiel]

# Population Percent
1 West_European 45.67
2 Mediterranean 22.1
3 East_European 16.67
4 West_Asian 10.38
5 Southwest_Asian 3.15
6 Northwest_African 1.43
7 Neo_African 0.31
8 Northeast_Asian 0.14
9 Palaeo_African 0.08
10 East_African 0.07

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 54.2% Swedish (Dodecad) + 45.8% Romanians_14 (Behar) @ 2.05
2 68.9% Slovenian (Xing) + 31.1% Mixed_Germanic (Dodecad) @ 2.06
3 86.7% German (Dodecad) + 13.3% Turkish (Dodecad) @ 2.33
4 87.8% German (Dodecad) + 12.2% Lebanese (Behar) @ 2.36
5 87.6% German (Dodecad) + 12.4% Georgia_Jews (Behar) @ 2.36
6 56.5% Slovenian (Xing) + 43.5% N._European (Xing) @ 2.4
7 86.9% German (Dodecad) + 13.1% Uzbekistan_Jews (Behar) @ 2.42
8 87.3% German (Dodecad) + 12.7% Kurd (Xing) @ 2.43
9 77.1% Slovenian (Xing) + 22.9% Irish (Dodecad) @ 2.43
10 75.8% Slovenian (Xing) + 24.2% Cornwall (1000 Genomes) @ 2.44
11 87.5% German (Dodecad) + 12.5% Turks (Behar) @ 2.45
12 51.7% Norwegian (Dodecad) + 48.3% Romanians_14 (Behar) @ 2.45
13 88.1% German (Dodecad) + 11.9% Iranian_Jews (Behar) @ 2.47
14 88.2% German (Dodecad) + 11.8% Druze (HGDP) @ 2.47
15 88.4% German (Dodecad) + 11.6% Iraq_Jews (Behar) @ 2.5
16 71.4% Slovenian (Xing) + 28.6% Dutch (Dodecad) @ 2.51
17 89.2% German (Dodecad) + 10.8% Assyrian (Dodecad) @ 2.52
18 75.3% Slovenian (Xing) + 24.7% British (Dodecad) @ 2.53
19 88% German (Dodecad) + 12% Azerbaijan_Jews (Behar) @ 2.54
20 87.8% German (Dodecad) + 12.2% Palestinian (HGDP) @ 2.57

Using 2 populations approximation:
1 50% Norwegian +50% Romanians_14 @ 2.787
2 50% N._European +50% Slovenian @ 2.856
3 50% Romanians_14 +50% Swedish @ 3.113
4 50% Balkans +50% Norwegian @ 3.504
5 50% Argyll +50% Slovenian @ 3.707
6 50% CEU +50% Slovenian @ 3.909
7 50% Hungarians +50% Mixed_Germanic @ 4.090
8 50% Hungarians +50% N._European @ 4.132
9 50% FIN +50% TSI @ 4.190
10 50% German +50% Slovenian @ 4.236
25878 iterations.



Using 3 populations approximation:
1 50% Cornwall +25% Ashkenazi +25% Lithuanians @ 1.308
2 50% Cornwall +25% Ashkenazy_Jews +25% Lithuanians @ 1.455
3 50% British +25% Ashkenazi +25% Lithuanians @ 1.495
4 50% Cornwall +25% Ashkenazi +25% Lithuanian @ 1.569
5 50% Irish +25% Lithuanian +25% S_Italian_Sicilian @ 1.609
6 50% Irish +25% Ashkenazy_Jews +25% Belorussian @ 1.616
7 50% British_Isles +25% Ashkenazi +25% Lithuanians @ 1.631
8 50% Kent +25% Ashkenazi +25% Lithuanians @ 1.679
9 50% British +25% Ashkenazy_Jews +25% Lithuanians @ 1.721
10 50% Norwegian +25% Mixed_Slav +25% S_Italian @ 1.723
486919 iterations.



Using 4 populations approximation:
1 Ashkenazi + Cornwall + Cornwall + Lithuanians @ 1.308
2 Ashkenazi + Cornwall + Kent + Lithuanians @ 1.325
3 Ashkenazi + British + Cornwall + Lithuanians @ 1.376
4 Ashkenazi + British_Isles + Cornwall + Lithuanians @ 1.404
5 Ashkenazy_Jews + Kent + Polish + Swedish @ 1.416
6 Ashkenazy_Jews + Mixed_Germanic + Norwegian + Polish @ 1.447
7 Ashkenazy_Jews + Cornwall + Cornwall + Lithuanians @ 1.455
8 Ashkenazy_Jews + Cornwall + Kent + Lithuanians @ 1.464
9 Ashkenazi + Kent + Polish + Swedish @ 1.468
10 Ashkenazi + British + Kent + Lithuanians @ 1.482
11 Ashkenazi + British + British + Lithuanians @ 1.495
12 Ashkenazy_Jews + Dutch + Polish + Swedish @ 1.508
13 Ashkenazi + British + British_Isles + Lithuanians @ 1.546
14 Ashkenazi + British_Isles + Kent + Lithuanians @ 1.549
15 Ashkenazy_Jews + Belorussian + British_Isles + Irish @ 1.555
16 Ashkenazy_Jews + British + Cornwall + Lithuanians @ 1.568
17 Ashkenazi + Cornwall + Cornwall + Lithuanian @ 1.569
18 Ashkenazi + Irish + Kent + Lithuanians @ 1.586
19 Ashkenazi + Dutch + Polish + Swedish @ 1.601
20 Irish + Irish + Lithuanian + S_Italian_Sicilian @ 1.609

Pct. Calc. Option 2

0 Unable to determine 0.02%
1 German 43.78%
2 Swedish 17.00%
3 Hungarians 6.99%
4 Assyrian 6.11%
5 Moroccans 5.92%
6 Spanish 5.19%
7 Adygei 4.96%
8 Chuvashs_16 4.41%
9 Belorussian 3.68%
10 Sicilian 1.93%

[7eleven]

# Population Percent
1 West_European 33.12
2 Mediterranean 27.3
3 West_Asian 17.02
4 East_European 11.08
5 Southwest_Asian 6.3
6 Northwest_African 2.67
7 Southeast_Asian 0.72
8 East_African 0.51
9 Northeast_Asian 0.41
10 South_Asian 0.4
11 Neo_African 0.28
12 Palaeo_African 0.19

Single Population Sharing:

# Population (source) Distance
1 Tuscan (Xing) 11.08
2 Tuscan (Henn) 11.6
3 TSI (HapMap) 11.88
4 Slovenian (Xing) 14.61
5 Romanians_14 (Behar) 16.27
6 Ashkenazy_Jews (Behar) 16.3
7 O_Italian (Dodecad) 16.94
8 Hungarians (Behar) 17.11
9 N_Italian (Dodecad) 17.48
10 Ashkenazi (Dodecad) 17.98
11 Balkans (Dodecad) 18.29
12 Tuscan (HGDP) 21.06
13 C_Italian (Dodecad) 21.09
14 CEU (HapMap) 21.21
15 N._European (Xing) 21.38
16 French (HGDP) 21.45
17 German (Dodecad) 21.58
18 French (Dodecad) 21.77
19 North_Italian (HGDP) 22.5
20 Portuguese (Dodecad) 22.59

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 57.1% Ashkenazy_Jews (Behar) + 42.9% German (Dodecad) @ 2.21
2 54.6% Ashkenazi (Dodecad) + 45.4% German (Dodecad) @ 2.78
3 63.5% German (Dodecad) + 36.5% Cypriots (Behar) @ 3.46
4 52.5% German (Dodecad) + 47.5% Morocco_Jews (Behar) @ 3.54
5 79.3% Tuscan (Xing) + 20.7% Finnish (Dodecad) @ 3.57
6 64% German (Dodecad) + 36% Druze (HGDP) @ 3.78
7 52.9% Slovenian (Xing) + 47.1% Ashkenazy_Jews (Behar) @ 3.92
8 55.5% Slovenian (Xing) + 44.5% Ashkenazi (Dodecad) @ 3.93
9 58.6% Ashkenazy_Jews (Behar) + 41.4% Argyll (1000 Genomes) @ 3.97
10 67% Ashkenazi (Dodecad) + 33% FIN (1000Genomes) @ 3.98
11 78.2% TSI (HapMap) + 21.8% Finnish (Dodecad) @ 4.01
12 69.3% Ashkenazy_Jews (Behar) + 30.7% FIN (1000Genomes) @ 4.09
13 57.1% Ashkenazy_Jews (Behar) + 42.9% N._European (Xing) @ 4.15
14 56.9% Ashkenazy_Jews (Behar) + 43.1% CEU (HapMap) @ 4.35
15 78.8% Tuscan (Henn) + 21.2% Finnish (Dodecad) @ 4.35
16 64.4% German (Dodecad) + 35.6% Samaritians (Behar) @ 4.37
17 68.3% Ashkenazy_Jews (Behar) + 31.7% Swedish (Dodecad) @ 4.37
18 59.7% Ashkenazy_Jews (Behar) + 40.3% Orkney (1000 Genomes) @ 4.41
19 59.3% Ashkenazy_Jews (Behar) + 40.7% Orcadian (HGDP) @ 4.42
20 62.7% Slovenian (Xing) + 37.3% Morocco_Jews (Behar) @ 4.46

[Sehnsucht]

Just got my maternal uncle tested and received his 23andme data yesterday, now here are his results from the calculators, starting with Dodecad V3


Population
East_European 11.81%
West_European 50.77%
Mediterranean 26.56%
Neo_African -
West_Asian 8.47%
South_Asian 0.27%
Northeast_Asian 0.60%
Southeast_Asian 0.41%
East_African -
Southwest_Asian 1.11%
Northwest_African -
Palaeo_African -


Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 3.2
2 N._European (Xing) 4.89
3 Argyll (1000 Genomes) 5.24
4 Orcadian (HGDP) 5.36
5 Orkney (1000 Genomes) 5.76
6 German (Dodecad) 6.66
7 French (HGDP) 9.97
8 French (Dodecad) 10.14
9 Mixed_Germanic (Dodecad) 10.91
10 Dutch (Dodecad) 12.01
11 Slovenian (Xing) 14.04
12 Kent (1000 Genomes) 14.12
13 British_Isles (Dodecad) 15.9
14 British (Dodecad) 16.04
15 Cornwall (1000 Genomes) 16.62
16 Hungarians (Behar) 18.14
17 Swedish (Dodecad) 18.46
18 Irish (Dodecad) 18.87
19 Norwegian (Dodecad) 19.5
20 French_Basque (HGDP) 21.18

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 90.4% CEU (HapMap) + 9.6% Romanians_14 (Behar) @ 0.82
2 92.9% CEU (HapMap) + 7.1% Greek (Dodecad) @ 0.9
3 66.6% Kent (1000 Genomes) + 33.4% Balkans (Dodecad) @ 1.06
4 63.7% British (Dodecad) + 36.3% Balkans (Dodecad) @ 1.07
5 87.6% Orkney (1000 Genomes) + 12.4% Greek (Dodecad) @ 1.09
6 88.5% Orcadian (HGDP) + 11.5% Greek (Dodecad) @ 1.13
7 70.1% Dutch (Dodecad) + 29.9% Balkans (Dodecad) @ 1.26
8 94.9% CEU (HapMap) + 5.1% Cypriots (Behar) @ 1.26
9 90.5% CEU (HapMap) + 9.5% Balkans (Dodecad) @ 1.29
10 62.9% Cornwall (1000 Genomes) + 37.1% Balkans (Dodecad) @ 1.29
11 63.9% British_Isles (Dodecad) + 36.1% Balkans (Dodecad) @ 1.3
12 84.8% Orcadian (HGDP) + 15.2% Romanians_14 (Behar) @ 1.33
13 93.5% CEU (HapMap) + 6.5% Sicilian (Dodecad) @ 1.33
14 93.8% CEU (HapMap) + 6.2% S_Italian (Dodecad) @ 1.36
15 94.5% CEU (HapMap) + 5.5% Turkish (Dodecad) @ 1.39
16 92.1% CEU (HapMap) + 7.9% Ashkenazy_Jews (Behar) @ 1.39
17 93.3% CEU (HapMap) + 6.7% S_Italian_Sicilian (Dodecad) @ 1.4
18 94.1% CEU (HapMap) + 5.9% Sephardic_Jews (Behar) @ 1.42
19 83.8% Orkney (1000 Genomes) + 16.2% Romanians_14 (Behar) @ 1.43
20 92.4% CEU (HapMap) + 7.6% Ashkenazi (Dodecad) @ 1.43

[Sikeliot]

I couldn't find a thread with these. This is on GEDmatch.

Me:

# 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


In other words, 42.49% European, 36.33% Mediterranean, 19.45% MENA, and 1.74% SSA.

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




Mom:

# Population Percent
1 West_European 40.96
2 Mediterranean 27.32
3 East_European 22.06
4 West_Asian 4.32
5 Southwest_Asian 1.6
6 East_African 1.27
7 South_Asian 0.92
8 Northwest_African 0.63
9 Neo_African 0.53
10 Palaeo_African 0.4

In other words, 63.02% European, 27.32% Mediterranean, 6.55% MENA, 2.2% SSA, and 0.92% South Asian.

Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 6.11
2 Hungarians (Behar) 6.85
3 German (Dodecad) 12.68
4 CEU (HapMap) 15.6
5 N._European (Xing) 16.51
6 Argyll (1000 Genomes) 16.94
7 Orcadian (HGDP) 17.29
8 Orkney (1000 Genomes) 17.57
9 Balkans (Dodecad) 17.6
10 French (Dodecad) 19.51
11 French (HGDP) 20.37
12 Romanians_14 (Behar) 20.48
13 Polish (Dodecad) 23.15
14 Mixed_Germanic (Dodecad) 23.72
15 Mixed_Slav (Dodecad) 24.01
16 N_Italian (Dodecad) 24.02
17 FIN (1000Genomes) 24.15
18 Portuguese (Dodecad) 24.56
19 Tuscan (Henn) 24.64
20 Tuscan (Xing) 24.71





Sicilian cousin:

# Population Percent
1 Mediterranean 34.53
2 West_Asian 24.5
3 West_European 20.17
4 Southwest_Asian 12.78
5 Northwest_African 3.83
6 East_European 1.13
7 East_African 0.93
8 South_Asian 0.67
9 Neo_African 0.54
10 Northeast_Asian 0.51
11 Palaeo_African 0.4

In other words, 34.53% Mediterranean, 41.11% MENA, 21.3% European, 1.87% SSA, 0.67% South Asian, and 0.51% NE Asian.

Single Population Sharing:

# Population (source) Distance
1 Ashkenazi (Dodecad) 3.04
2 Ashkenazy_Jews (Behar) 4
3 Morocco_Jews (Behar) 6.95
4 S_Italian_Sicilian (Dodecad) 10.98
5 C_Italian (Dodecad) 11.61
6 Tuscan (Xing) 11.93
7 O_Italian (Dodecad) 12.24
8 Tuscan (Henn) 12.6
9 TSI (HapMap) 12.69
10 Sephardic_Jews (Behar) 13.64
11 Sicilian (Dodecad) 13.78
12 S_Italian (Dodecad) 14.2
13 Greek (Dodecad) 16.19
14 Tuscan (HGDP) 16.88
15 Uzbekistan_Jews (Behar) 20.74
16 Turkish (Dodecad) 20.85
17 N_Italian (Dodecad) 21.04
18 Cypriots (Behar) 21.25
19 Palestinian (HGDP) 21.64
20 Lebanese (Behar) 21.82

[Jana]

Is the West Asian Caucasus component ?

# Population Percent
1 West_European 36.88
2 Mediterranean 25.48
3 East_European 23.13
4 West_Asian 12.53
5 Southwest_Asian 0.94
6 Southeast_Asian 0.5
7 East_African 0.31
8 Northeast_Asian 0.22

Single Population Sharing:
# Population (source) Distance
1 Slovenian (Xing) 4.23
2 Hungarians (Behar) 4.74
3 Balkans (Dodecad) 12.77
4 Romanians_14 (Behar) 15.28
5 German (Dodecad) 16.42
6 CEU (HapMap) 19.26
7 N._European (Xing) 19.79
8 Argyll (1000 Genomes) 20.25
9 Orcadian (HGDP) 21.01
10 Orkney (1000 Genomes) 21.34
11 Tuscan (Xing) 22.18
12 Mixed_Slav (Dodecad) 22.37
13 Polish (Dodecad) 22.41
14 Tuscan (Henn) 22.5
15 TSI (HapMap) 22.79
16 French (Dodecad) 23.61
17 N_Italian (Dodecad) 23.89
18 French (HGDP) 23.89
19 Mixed_Germanic (Dodecad) 26.44
20 O_Italian (Dodecad) 26.65

Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 80.1% Slovenian (Xing) + 19.9% Romanians_14 (Behar) @ 1.94
2 70.8% Balkans (Dodecad) + 29.2% Swedish (Dodecad) @ 2.1
3 77.6% Slovenian (Xing) + 22.4% Balkans (Dodecad) @ 2.19
4 72.4% Balkans (Dodecad) + 27.6% Norwegian (Dodecad) @ 2.31
5 90% Slovenian (Xing) + 10% Greek (Dodecad) @ 2.44
6 93.2% Hungarians (Behar) + 6.8% Lezgins (Behar) @ 2.53
7 90.4% Hungarians (Behar) + 9.6% Urkarah (Xing) @ 2.54
8 89.1% Hungarians (Behar) + 10.9% Stalskoe (Xing) @ 2.57
9 94% Hungarians (Behar) + 6% Georgians (Behar) @ 2.58
10 93% Hungarians (Behar) + 7% Adygei (HGDP) @ 2.58
11 56.5% Balkans (Dodecad) + 43.5% German (Dodecad) @ 2.72
12 93.4% Hungarians (Behar) + 6.6% Armenians_16 (Behar) @ 2.78
13 94.6% Slovenian (Xing) + 5.4% Armenians_16 (Behar) @ 2.85
14 93.3% Hungarians (Behar) + 6.7% Armenian (Dodecad) @ 2.86
15 92.9% Slovenian (Xing) + 7.1% Turkish (Dodecad) @ 2.89
16 93.7% Slovenian (Xing) + 6.3% Cypriots (Behar) @ 2.89
17 93.5% Slovenian (Xing) + 6.5% Turks (Behar) @ 2.92
18 94.6% Slovenian (Xing) + 5.4% Armenian (Dodecad) @ 2.95
19 92.6% Slovenian (Xing) + 7.4% S_Italian (Dodecad) @ 3
20 95.4% Slovenian (Xing) + 4.6% Georgians (Behar) @ 3

Using 2 populations approximation:
1 50% Balkans +50% German @ 3.710332


Using 3 populations approximation:
1 50% German +25% Greek +25% Mixed_Slav @ 2.487981


Using 4 populations approximation:
1 Irish + Mixed_Slav + Romanians_14 + Romanians_14 @ 1.946779
2 Greek + Hungarians + Kent + Russian @ 2.111862
3 Cornwall + Mixed_Slav + Romanians_14 + Romanians_14 @ 2.172507
4 British_Isles + Greek + Hungarians + Russian @ 2.217325
5 Greek + Hungarians + Mixed_Germanic + Russian @ 2.224846
6 Belorussian + Cornwall + Greek + Slovenian @ 2.251168
7 British_Isles + Mixed_Slav + Romanians_14 + Romanians_14 @ 2.265575
8 Lithuanians + Mixed_Germanic + Romanians_14 + TSI @ 2.274448
9 Greek + Mixed_Germanic + Russian + Slovenian @ 2.286758
10 Belorussian + British_Isles + Greek + Slovenian @ 2.296003
11 Belorussian + Greek + Kent + Slovenian @ 2.305358
12 Cornwall + Greek + Hungarians + Russian @ 2.313459
13 Dutch + Greek + Hungarians + Russian @ 2.314723
14 British + Mixed_Slav + Romanians_14 + Romanians_14 @ 2.317631
15 British + Greek + Hungarians + Russian @ 2.328580
16 Belorussian + Greek + Irish + Slovenian @ 2.345403
17 Irish + Polish + Romanians_14 + Romanians_14 @ 2.352686

[Petalpusher]

Is the West Asian Caucasus component ?

It usually is, caucasus/fertile crescent



Admix Results (sorted):

West_European 45.79%
Mediterranean 33.87%
East_European 9.50%
West_Asian 8.39%
Southwest_Asian 1.64%
Northwest_African 0.61%
Southeast_Asian 0.10%
Neo_African 0.10%
South_Asian -
Northeast_Asian -
East_African -
Palaeo_African -


Least-squares method.

Using 1 population approximation:
1 French @ 8.051027
2 French @ 8.490770
3 CEU @ 11.727421
4 Orcadian @ 14.009427
5 N._European @ 14.018791
6 Orkney @ 14.493748
7 Argyll @ 14.510611
8 German @ 15.637795
9 Portuguese @ 16.508904
10 Spaniards @ 17.327362
11 N_Italian @ 17.467691
12 Slovenian @ 17.587505
13 French_Basque @ 17.717216
14 IBS @ 18.324879
15 Spanish @ 18.359514
16 Mixed_Germanic @ 18.956839
17 Dutch @ 19.481306
18 Tuscan @ 20.208084
19 TSI @ 20.393299
20 Tuscan @ 20.766748

Using 2 populations approximation:
1 50% N_Italian +50% Orkney @ 2.247058


Using 3 populations approximation:
1 50% German +25% N_Italian +25% Spaniards @ 1.414786


Using 4 populations approximation:
1 German + North_Italian + North_Italian + Swedish @ 0.586430
2 French_Basque + Hungarians + Mixed_Germanic + N_Italian @ 0.792522
3 Balkans + French + Kent + Spaniards @ 0.823087
4 French + French_Basque + Romanians_14 + Argyll @ 0.935468
5 Dutch + French + Hungarians + North_Italian @ 0.954670
6 Balkans + Dutch + French + Spaniards @ 0.956182
7 French + French_Basque + Romanians_14 + N._European @ 0.957623
8 French + Hungarians + Kent + North_Italian @ 0.960887
9 French_Basque + German + German + Tuscan @ 0.962954
10 Balkans + French + Mixed_Germanic + Spaniards @ 0.986705
11 Dutch + French + Hungarians + North_Italian @ 1.002399
12 French + French_Basque + Orkney + Romanians_14 @ 1.069658
13 French + French_Basque + Orcadian + Romanians_14 @ 1.089846
14 Balkans + French + French + French @ 1.100819
15 Balkans + British_Isles + French + IBS @ 1.102186
16 Balkans + British_Isles + French + Spaniards @ 1.108965
17 Balkans + French + IBS + Kent @ 1.134383
18 Balkans + French + Kent + Spanish @ 1.142908
19 French_Basque + German + German + O_Italian @ 1.149560
20 French + Hungarians + Kent + North_Italian @ 1.153366


This CEU is still an American sample from Utah?

[DRUM]

# Population Percent
1 Mediterranean 35.16
2 West_European 25.53
3 West_Asian 20.47
4 East_European 10.78
5 Southwest_Asian 6.66
6 Northwest_African 1.15
7 Neo_African 0.16
8 Southeast_Asian 0.09

Single Population Sharing:


# Population (source) Distance
1 Tuscan (Xing) 7.04
2 Tuscan (Henn) 7.99
3 TSI (HapMap) 8.16
4 O_Italian (Dodecad) 9.53
5 Ashkenazy_Jews (Behar) 9.86
6 Ashkenazi (Dodecad) 11.05
7 C_Italian (Dodecad) 11.77
8 Romanians_14 (Behar) 13.03
9 Tuscan (HGDP) 13.64
10 Greek (Dodecad) 14.31
11 N_Italian (Dodecad) 14.33
12 S_Italian_Sicilian (Dodecad) 15.35
13 Sicilian (Dodecad) 16.82
14 Morocco_Jews (Behar) 17.23
15 Balkans (Dodecad) 17.83
16 S_Italian (Dodecad) 18.3
17 North_Italian (HGDP) 18.46
18 Sephardic_Jews (Behar) 20.55
19 Slovenian (Xing) 22.21
20 Hungarians (Behar) 22.88

Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 59.3% S_Italian_Sicilian (Dodecad) + 40.7% Slovenian (Xing) @ 2.19
2 54.9% S_Italian (Dodecad) + 45.1% Slovenian (Xing) @ 2.59
3 76.2% Greek (Dodecad) + 23.8% Norwegian (Dodecad) @ 2.69
4 75.7% Greek (Dodecad) + 24.3% Swedish (Dodecad) @ 2.7
5 71.2% S_Italian (Dodecad) + 28.8% FIN (1000Genomes) @ 2.77
6 74.8% S_Italian_Sicilian (Dodecad) + 25.2% FIN (1000Genomes) @ 2.93
7 68.4% Greek (Dodecad) + 31.6% N._European (Xing) @ 3.03
8 66.6% Tuscan (Xing) + 33.4% Romanians_14 (Behar) @ 3.06
9 62.8% TSI (HapMap) + 37.2% Romanians_14 (Behar) @ 3.26
10 52% Cypriots (Behar) + 48% German (Dodecad) @ 3.3
11 71.5% Greek (Dodecad) + 28.5% Mixed_Germanic (Dodecad) @ 3.3
12 81.1% C_Italian (Dodecad) + 18.9% Finnish (Dodecad) @ 3.33
13 76.4% S_Italian_Sicilian (Dodecad) + 23.6% Finnish (Dodecad) @ 3.43
14 63.7% Tuscan (Henn) + 36.3% Romanians_14 (Behar) @ 3.56
15 60.2% S_Italian_Sicilian (Dodecad) + 39.8% Hungarians (Behar) @ 3.57
16 69.3% Greek (Dodecad) + 30.7% Argyll (1000 Genomes) @ 3.64
17 75.7% Greek (Dodecad) + 24.3% Irish (Dodecad) @ 3.67
18 72.4% Greek (Dodecad) + 27.6% Dutch (Dodecad) @ 3.71
19 57.2% Sicilian (Dodecad) + 42.8% Slovenian (Xing) @ 3.8
20 74.5% Greek (Dodecad) + 25.5% British_Isles (Dodecad) @ 3.8

Least-squares method.

Using 1 population approximation:
1 Tuscan @ 7.782906
2 Tuscan @ 8.859587
3 TSI @ 9.030184
4 O_Italian @ 10.473781
5 Ashkenazy_Jews @ 10.936502
6 Ashkenazi @ 12.271040
7 C_Italian @ 12.968548
8 Romanians_14 @ 14.394963
9 Tuscan @ 15.019642
10 Greek @ 15.932975
11 N_Italian @ 15.967498
12 S_Italian_Sicilian @ 17.008593
13 Sicilian @ 18.629091
14 Morocco_Jews @ 19.132071
15 Balkans @ 19.736807
16 S_Italian @ 20.320072
17 North_Italian @ 20.494141
18 Sephardic_Jews @ 22.836365
19 Slovenian @ 24.740356
20 Hungarians @ 25.479189

Using 2 populations approximation:
1 50% S_Italian +50% Slovenian @ 3.627084


Using 3 populations approximation:
1 50% Greek +25% Sephardic_Jews +25% Swedish @ 1.814954


Using 4 populations approximation:
1 Ashkenazi + Greek + TSI + Slovenian @ 1.105684
2 Balkans + Cypriots + Mixed_Germanic + S_Italian_Sicilian @ 1.235552
3 Balkans + Cypriots + Mixed_Germanic + Sicilian @ 1.245883
4 British_Isles + Cypriots + Greek + Romanians_14 @ 1.251182
5 Ashkenazi + Greek + Slovenian + Tuscan @ 1.324580
6 British + Cypriots + Greek + Romanians_14 @ 1.345268
7 Ashkenazy_Jews + Greek + TSI + Slovenian @ 1.411731
8 Balkans + Cornwall + Cypriots + Greek @ 1.419128
9 Ashkenazi + Greek + Tuscan + Slovenian @ 1.435927
10 Cypriots + Romanians_14 + S_Italian + Swedish @ 1.439973
11 Ashkenazy_Jews + German + Greek + Greek @ 1.467781
12 Cypriots + Greek + Kent + Romanians_14 @ 1.482966
13 Cypriots + Greek + Irish + Romanians_14 @ 1.486190
14 Ashkenazy_Jews + Greek + Greek + N._European @ 1.487156
15 Cornwall + Cypriots + Greek + Romanians_14 @ 1.490749
16 Balkans + British + Cypriots + Greek @ 1.498196
17 Balkans + Cypriots + Greek + Kent @ 1.508069
18 Ashkenazi + German + Greek + Greek @ 1.527030
19 Cypriots + O_Italian + Romanians_14 + N._European @ 1.544040
20 C_Italian + Cypriots + Romanians_14 + Argyll @ 1.544883


What is TSI in oracle?

[Journeyman26]

DodecadV2.1 using RGui software
FINAL ADMIXTURE PROPORTIONS:
----------------------------

8.71% East_European
24.21% West_European
36.42% Mediterranean
22.09% West_Asian
0.17% Southeast_Asian
7.90% Southwest_Asian
0.50% Northwest_African
0.00% South_Asian
0.00% Northeast_Asian
0.00% Neo_African
0.00% East_African
0.00% Palaeo_African

[Journeyman26]

# Population Percent
1 Mediterranean 36.42
2 West_European 24.22
3 West_Asian 22.1
4 East_European 8.71
5 Southwest_Asian 7.91
6 Northwest_African 0.48
7 Southeast_Asian 0.17


Single Population Sharing:

# Population (source) Distance
1 Tuscan (Xing) 6.89
2 Tuscan (Henn) 7.8
3 TSI (HapMap) 7.83
4 Ashkenazy_Jews (Behar) 7.85
5 O_Italian (Dodecad) 8.11
6 Ashkenazi (Dodecad) 8.66
7 C_Italian (Dodecad) 9.5
8 Tuscan (HGDP) 12.55
9 S_Italian_Sicilian (Dodecad) 12.68
10 Greek (Dodecad) 12.82
11 Sicilian (Dodecad) 14.57
12 N_Italian (Dodecad) 14.83
13 Morocco_Jews (Behar) 15.08
14 Romanians_14 (Behar) 15.39
15 S_Italian (Dodecad) 15.78
16 Sephardic_Jews (Behar) 18.14
17 North_Italian (HGDP) 18.5
18 Balkans (Dodecad) 20.49
19 Turkish (Dodecad) 24.26
20 Portuguese (Dodecad) 24.75

[Journeyman26]

# Population Percent
1 Mediterranean 35.16
2 West_European 25.53
3 West_Asian 20.47
4 East_European 10.78
5 Southwest_Asian 6.66
6 Northwest_African 1.15
7 Neo_African 0.16
8 Southeast_Asian 0.09

Single Population Sharing:


# Population (source) Distance
1 Tuscan (Xing) 7.04
2 Tuscan (Henn) 7.99
3 TSI (HapMap) 8.16
4 O_Italian (Dodecad) 9.53
5 Ashkenazy_Jews (Behar) 9.86
6 Ashkenazi (Dodecad) 11.05
7 C_Italian (Dodecad) 11.77
8 Romanians_14 (Behar) 13.03
9 Tuscan (HGDP) 13.64
10 Greek (Dodecad) 14.31
11 N_Italian (Dodecad) 14.33
12 S_Italian_Sicilian (Dodecad) 15.35
13 Sicilian (Dodecad) 16.82
14 Morocco_Jews (Behar) 17.23
15 Balkans (Dodecad) 17.83
16 S_Italian (Dodecad) 18.3
17 North_Italian (HGDP) 18.46
18 Sephardic_Jews (Behar) 20.55
19 Slovenian (Xing) 22.21
20 Hungarians (Behar) 22.88

Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 59.3% S_Italian_Sicilian (Dodecad) + 40.7% Slovenian (Xing) @ 2.19
2 54.9% S_Italian (Dodecad) + 45.1% Slovenian (Xing) @ 2.59
3 76.2% Greek (Dodecad) + 23.8% Norwegian (Dodecad) @ 2.69
4 75.7% Greek (Dodecad) + 24.3% Swedish (Dodecad) @ 2.7
5 71.2% S_Italian (Dodecad) + 28.8% FIN (1000Genomes) @ 2.77
6 74.8% S_Italian_Sicilian (Dodecad) + 25.2% FIN (1000Genomes) @ 2.93
7 68.4% Greek (Dodecad) + 31.6% N._European (Xing) @ 3.03
8 66.6% Tuscan (Xing) + 33.4% Romanians_14 (Behar) @ 3.06
9 62.8% TSI (HapMap) + 37.2% Romanians_14 (Behar) @ 3.26
10 52% Cypriots (Behar) + 48% German (Dodecad) @ 3.3
11 71.5% Greek (Dodecad) + 28.5% Mixed_Germanic (Dodecad) @ 3.3
12 81.1% C_Italian (Dodecad) + 18.9% Finnish (Dodecad) @ 3.33
13 76.4% S_Italian_Sicilian (Dodecad) + 23.6% Finnish (Dodecad) @ 3.43
14 63.7% Tuscan (Henn) + 36.3% Romanians_14 (Behar) @ 3.56
15 60.2% S_Italian_Sicilian (Dodecad) + 39.8% Hungarians (Behar) @ 3.57
16 69.3% Greek (Dodecad) + 30.7% Argyll (1000 Genomes) @ 3.64
17 75.7% Greek (Dodecad) + 24.3% Irish (Dodecad) @ 3.67
18 72.4% Greek (Dodecad) + 27.6% Dutch (Dodecad) @ 3.71
19 57.2% Sicilian (Dodecad) + 42.8% Slovenian (Xing) @ 3.8
20 74.5% Greek (Dodecad) + 25.5% British_Isles (Dodecad) @ 3.8

Least-squares method.

Using 1 population approximation:
1 Tuscan @ 7.782906
2 Tuscan @ 8.859587
3 TSI @ 9.030184
4 O_Italian @ 10.473781
5 Ashkenazy_Jews @ 10.936502
6 Ashkenazi @ 12.271040
7 C_Italian @ 12.968548
8 Romanians_14 @ 14.394963
9 Tuscan @ 15.019642
10 Greek @ 15.932975
11 N_Italian @ 15.967498
12 S_Italian_Sicilian @ 17.008593
13 Sicilian @ 18.629091
14 Morocco_Jews @ 19.132071
15 Balkans @ 19.736807
16 S_Italian @ 20.320072
17 North_Italian @ 20.494141
18 Sephardic_Jews @ 22.836365
19 Slovenian @ 24.740356
20 Hungarians @ 25.479189

Using 2 populations approximation:
1 50% S_Italian +50% Slovenian @ 3.627084


Using 3 populations approximation:
1 50% Greek +25% Sephardic_Jews +25% Swedish @ 1.814954


Using 4 populations approximation:
1 Ashkenazi + Greek + TSI + Slovenian @ 1.105684
2 Balkans + Cypriots + Mixed_Germanic + S_Italian_Sicilian @ 1.235552
3 Balkans + Cypriots + Mixed_Germanic + Sicilian @ 1.245883
4 British_Isles + Cypriots + Greek + Romanians_14 @ 1.251182
5 Ashkenazi + Greek + Slovenian + Tuscan @ 1.324580
6 British + Cypriots + Greek + Romanians_14 @ 1.345268
7 Ashkenazy_Jews + Greek + TSI + Slovenian @ 1.411731
8 Balkans + Cornwall + Cypriots + Greek @ 1.419128
9 Ashkenazi + Greek + Tuscan + Slovenian @ 1.435927
10 Cypriots + Romanians_14 + S_Italian + Swedish @ 1.439973
11 Ashkenazy_Jews + German + Greek + Greek @ 1.467781
12 Cypriots + Greek + Kent + Romanians_14 @ 1.482966
13 Cypriots + Greek + Irish + Romanians_14 @ 1.486190
14 Ashkenazy_Jews + Greek + Greek + N._European @ 1.487156
15 Cornwall + Cypriots + Greek + Romanians_14 @ 1.490749
16 Balkans + British + Cypriots + Greek @ 1.498196
17 Balkans + Cypriots + Greek + Kent @ 1.508069
18 Ashkenazi + German + Greek + Greek @ 1.527030
19 Cypriots + O_Italian + Romanians_14 + N._European @ 1.544040
20 C_Italian + Cypriots + Romanians_14 + Argyll @ 1.544883


What is TSI in oracle?

TSI is Tuscany in some calculators. Just out of curiosity do you have any Jewish ancestry? Because Ashkenazi shows up high on mine as well and I certainly don't have any Jewish background, for at least the 5 generations I know.

[Graham]

http://s11.postimg.org/aiyv6z083/image.jpghttp://s11.postimg.org/5vst57cv7/image.jpghttp://s28.postimg.org/ewa89xrod/image.jpg

[Charles Bronson]

wrong thread.

[DRUM]

TSI is Tuscany in some calculators. Just out of curiosity do you have any Jewish ancestry? Because Ashkenazi shows up high on mine as well and I certainly don't have any Jewish background, for at least the 5 generations I know.

I'm sure I don't have any Jewish ancestry for at least 250 years ago. On 23andMe I get only 0,2 Ashkenazi on standard. But it often shows up on oracles...

[Catkin]

http://s11.postimg.org/aiyv6z083/image.jpg

My results are nothing like yours!

My results:

Population
West_European 53.58%
Mediterranean 25.44%
East_European 10.95%
West_Asian 9.33%
Northeast_Asian 0.45%
Palaeo_African 0.14%
Neo_African 0.12%
South_Asian -
Southeast_Asian -
East_African -
Southwest_Asian -
Northwest_African -

# Population (source) Distance
1 CEU (HapMap) 2.02
2 Argyll (1000 Genomes) 2.95
3 Orcadian (HGDP) 3.17
4 Orkney (1000 Genomes) 3.58
5 N._European (Xing) 3.58
6 German (Dodecad) 6.88
7 Mixed_Germanic (Dodecad) 8.25
8 Dutch (Dodecad) 9.54
9 French (HGDP) 10.4
10 French (Dodecad) 10.93
11 Kent (1000 Genomes) 11.57
12 British_Isles (Dodecad) 13.35
13 British (Dodecad) 13.55
14 Cornwall (1000 Genomes) 14.1
15 Slovenian (Xing) 16.28
16 Irish (Dodecad) 16.28
17 Swedish (Dodecad) 16.3
18 Norwegian (Dodecad) 17.13
19 Hungarians (Behar) 20.48
20 French_Basque (HGDP) 21.87


# Primary Population (source) Secondary Population (source) Distance
1 95.5% Orcadian (HGDP) + 4.5% Armenians_16 (Behar) @ 0.92
2 94.4% Orcadian (HGDP) + 5.6% Turkish (Dodecad) @ 1.01
3 95.4% Orcadian (HGDP) + 4.6% Armenian (Dodecad) @ 1.01
4 94.8% Orcadian (HGDP) + 5.2% Turks (Behar) @ 1.01
5 92.5% Argyll (1000 Genomes) + 7.5% Tuscan (HGDP) @ 1.08
6 97.3% CEU (HapMap) + 2.7% Lezgins (Behar) @ 1.14
7 96% Orcadian (HGDP) + 4% Georgians (Behar) @ 1.15
8 90.5% Argyll (1000 Genomes) + 9.5% N_Italian (Dodecad) @ 1.15
9 92.1% Argyll (1000 Genomes) + 7.9% O_Italian (Dodecad) @ 1.17
10 97.3% CEU (HapMap) + 2.7% Adygei (HGDP) @ 1.18
11 93.2% Argyll (1000 Genomes) + 6.8% C_Italian (Dodecad) @ 1.19
12 97.8% CEU (HapMap) + 2.2% Georgians (Behar) @ 1.22
13 94.5% Argyll (1000 Genomes) + 5.5% S_Italian (Dodecad) @ 1.25
14 91.7% Argyll (1000 Genomes) + 8.3% North_Italian (HGDP) @ 1.25
15 90.8% Argyll (1000 Genomes) + 9.2% TSI (HapMap) @ 1.26
16 95% Orkney (1000 Genomes) + 5% Armenians_16 (Behar) @ 1.29
17 95.6% Orcadian (HGDP) + 4.4% Assyrian (Dodecad) @ 1.3
18 94.4% Argyll (1000 Genomes) + 5.6% Sicilian (Dodecad) @ 1.32
19 94.2% Argyll (1000 Genomes) + 5.8% S_Italian_Sicilian (Dodecad) @ 1.33
20 96.7% CEU (HapMap) + 3.3% Urkarah (Xing) @ 1.33

[Graham]

My results are nothing like yours!



As the Eurogenes owner(Davidski/Polako) pointed out the 'calulator effect' flaw 3 years ago, which was denied and never fixed. Yet it does suffer from it & Polako was correct.. That is why imo Eurogenes K13 & K15 work best.

The AC calculator on 23andme even suffers from it, most likely.


Davidski said...
Here are Oracle results for two West English, part-Irish brothers, using the Dodecad V3. The first one is in the project, and the second one isn't.

1 Irish (Dodecad) 2.4907
2 Cornwall (1000 Genomes) 2.8394
3 British (Dodecad) 3.0751
4 British_Isles (Dodecad) 3.1513
5 Kent (1000 Genomes) 4.7677

1 Dutch (Dodecad) 2.0374
2 Mixed_Germanic (Dodecad) 3.5816
3 Kent (1000 Genomes) 3.6721
4 British (Dodecad) 5.5162
5 British_Isles (Dodecad) 5.6044

All the Brits that I've seen results for, who aren't in Dodecad, and use the Calculator or Gedmatch algorithm, get Dutch or Mixed-Germanic at the top. They never get any sort of British. That's because they receive a larger share of Eastern European components than they would if they were run in the original ADMIXTURE analysis.

It's not a difficult thing to prove and measure.

[Petalpusher]

0.00% East Euro in Scotland ? :eek:


edit : ok got it

[Catkin]

As the Eurogenes owner(Davidski/Polako) pointed out the 'calulator effect' flaw 3 years ago, which was denied and never fixed. Yet it does suffer from it & Polako was correct.. That is why imo Eurogenes K13 & K15 work best.

The AC calculator on 23andme even suffers from it, most likely.

Ah ok, you're in the original run? It really seems to affect this test. Also the fact that you are so far from the Scottish results, yet relatively close to Irish, like they are completely different populations.

[Graham]

Ah ok, you're in the original run? It really seems to affect this test. Also the fact that you are so far from the Scottish results, yet relatively close to Irish, like they are completely different populations.

Yeah it's out of sink. Had my 23andme done 4 years ago & Dodecad hasn't updated in a while now.

[noricum]

Population Percent
1 West_European 41.86
2 Mediterranean 24.14
3 East_European 21.82
4 West_Asian 8.66
5 Southwest_Asian 2.01
6 South_Asian 1.17
7 Palaeo_African 0.1
8 Northeast_Asian 0.08
9 East_African 0.08
10 Northwest_African 0.04
11 Southeast_Asian 0.03

Single Population Sharing:


# Population (source) Distance
1 Slovenian (Xing) 2.34
2 Hungarians (Behar) 6.24
3 German (Dodecad) 11.02
4 CEU (HapMap) 14.65
5 N._European (Xing) 15
6 Argyll (1000 Genomes) 15.5
7 Orcadian (HGDP) 16.25
8 Orkney (1000 Genomes) 16.51
9 Balkans (Dodecad) 17.87
10 French (Dodecad) 20.3
11 Romanians_14 (Behar) 20.51
12 French (HGDP) 20.72
13 Mixed_Germanic (Dodecad) 22.07
14 FIN (1000Genomes) 22.62
15 Polish (Dodecad) 23
16 Mixed_Slav (Dodecad) 23.46
17 Dutch (Dodecad) 23.57
18 Tuscan (Xing) 24.4
19 Tuscan (Henn) 24.46
20 TSI (HapMap) 24.86

Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 70.9% Hungarians (Behar) + 29.1% N._European (Xing) @ 1.12
2 78.3% Hungarians (Behar) + 21.7% Mixed_Germanic (Dodecad) @ 1.24
3 84.8% Slovenian (Xing) + 15.2% German (Dodecad) @ 1.27
4 58.7% Balkans (Dodecad) + 41.3% Swedish (Dodecad) @ 1.3
5 89.6% Slovenian (Xing) + 10.4% Orkney (1000 Genomes) @ 1.36
6 83.1% Hungarians (Behar) + 16.9% Irish (Dodecad) @ 1.36
7 89.5% Slovenian (Xing) + 10.5% Orcadian (HGDP) @ 1.37
8 79.4% Hungarians (Behar) + 20.6% Dutch (Dodecad) @ 1.39
9 88.6% Slovenian (Xing) + 11.4% CEU (HapMap) @ 1.4
10 82.2% Hungarians (Behar) + 17.8% Cornwall (1000 Genomes) @ 1.42
11 89.4% Slovenian (Xing) + 10.6% Argyll (1000 Genomes) @ 1.44
12 81.9% Hungarians (Behar) + 18.1% British (Dodecad) @ 1.45
13 81.7% Hungarians (Behar) + 18.3% British_Isles (Dodecad) @ 1.46
14 93.8% Slovenian (Xing) + 6.2% British_Isles (Dodecad) @ 1.49
15 80.9% Hungarians (Behar) + 19.1% Kent (1000 Genomes) @ 1.5
16 93.9% Slovenian (Xing) + 6.1% British (Dodecad) @ 1.5
17 89.3% Slovenian (Xing) + 10.7% N._European (Xing) @ 1.51
18 93.5% Slovenian (Xing) + 6.5% Kent (1000 Genomes) @ 1.51
19 93% Slovenian (Xing) + 7% Dutch (Dodecad) @ 1.52
20 94.4% Slovenian (Xing) + 5.6% Irish (Dodecad) @ 1.52

1 Slovenian @ 2.571139
2 Hungarians @ 6.907999
3 German @ 12.276849
4 CEU @ 16.252377
5 N._European @ 16.638920
6 Argyll @ 17.222378
7 Orcadian @ 18.060289
8 Orkney @ 18.349369
9 Balkans @ 19.911499
10 French @ 22.405420
11 French @ 22.862059
12 Romanians_14 @ 22.904881
13 Mixed_Germanic @ 24.492224
14 FIN @ 24.807947
15 Polish @ 25.385614
16 Mixed_Slav @ 25.861372
17 Dutch @ 26.163574
18 Tuscan @ 27.074053
19 Tuscan @ 27.113169
20 TSI @ 27.572634

Using 2 populations approximation:
1 50% Slovenian +50% Slovenian @ 2.571139


Using 3 populations approximation:
1 50% Hungarians +25% N._European +25% Slovenian @ 0.873275


Using 4 populations approximation:
1 CEU + Lithuanian + O_Italian + Argyll @ 0.830504
2 Lithuanian + O_Italian + Orcadian + N._European @ 0.853406
3 Hungarians + Hungarians + N._European + Slovenian @ 0.873275
4 Lithuanian + O_Italian + Orkney + N._European @ 0.911431
5 Lithuanian + Tuscan + N._European + N._European @ 0.919571
6 Belorussian + German + TSI + Argyll @ 0.926123
7 Polish + Romanians_14 + N._European + N._European @ 0.927633
8 CEU + Lithuanian + O_Italian + N._European @ 0.949955
9 Lithuanian + O_Italian + Argyll + N._European @ 0.950992
10 Belorussian + German + Orkney + Tuscan @ 0.954775
11 Irish + Lithuanians + Tuscan + Slovenian @ 0.969466
12 CEU + Lithuanian + O_Italian + Orkney @ 0.971520
13 Irish + Lithuanian + Tuscan + Slovenian @ 0.992398
14 Belorussian + German + Argyll + Tuscan @ 1.008806
15 CEU + Lithuanian + O_Italian + Orcadian @ 1.011846
16 Lithuanian + O_Italian + Argyll + Argyll @ 1.016265
17 Belorussian + German + Orkney + TSI @ 1.019295
18 Lithuanians + O_Italian + Argyll + N._European @ 1.032802
19 Lithuanian + Tuscan + Argyll + N._European @ 1.040707
20 Belorussian + German + Orcadian + Tuscan @ 1.045036

[Damião de Góis]

http://oi62.tinypic.com/addvyc.jpg

[Journeyman26]

I'm sure I don't have any Jewish ancestry for at least 250 years ago. On 23andMe I get only 0,2 Ashkenazi on standard. But it often shows up on oracles...

Yea.. same thing here. I have 0% Ashkenazi on 23andMe, but it shows up on Oracles. I wonder why that is.

[Petalpusher]

I'm sure I don't have any Jewish ancestry for at least 250 years ago. On 23andMe I get only 0,2 Ashkenazi on standard. But it often shows up on oracles...

That's similarities, if you have a component close to a Jewish population (let's say some thing looking neolithic) it's gonna use it as a way to make admixtures of different populations. It doesn't mean you have ancestry from there, it just picks up single components from different population and make the better "recipe" to fit your particular genetic makeup. Of course you ll find more of theses similarties as you go South East.

[Gooding]

Gedmatch.Com

Dodecad V3 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.

The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.

Admix Results (sorted):


# Population Percent
1 West_European 49.61
2 Mediterranean 27.02
3 East_European 14.58
4 West_Asian 6.75
5 South_Asian 1.21


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

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

Least-squares method.

Using 1 population approximation:
1 CEU @ 5.718964
2 German @ 6.413199
3 N._European @ 7.600528
4 Argyll @ 7.653700
5 Orcadian @ 7.776720
6 Orkney @ 8.171578
7 French @ 12.663768
8 French @ 13.027877
9 Slovenian @ 13.407598
10 Mixed_Germanic @ 14.985452
11 Dutch @ 15.985805
12 Hungarians @ 17.470774
13 Kent @ 18.275934
14 British_Isles @ 20.118895
15 British @ 20.347883
16 Cornwall @ 21.084616
17 Swedish @ 21.521936
18 Norwegian @ 23.126490
19 Irish @ 23.398907
20 French_Basque @ 24.091248

Using 2 populations approximation:
1 50% Hungarians +50% Kent @ 3.164591


Using 3 populations approximation:
1 50% French +25% Mixed_Germanic +25% Polish @ 1.382747


Using 4 populations approximation:
1 French + German + Hungarians + Orkney @ 1.167658
2 French + German + Hungarians + Orcadian @ 1.184730
3 French + German + Hungarians + Orcadian @ 1.315040
4 French + German + Hungarians + Orkney @ 1.321522
5 French + French + Mixed_Germanic + Polish @ 1.382747
6 French + German + Hungarians + Argyll @ 1.395325
7 Dutch + French + French + Mixed_Slav @ 1.397800
8 French + French + Mixed_Germanic + Polish @ 1.418770
9 Dutch + French + French + Polish @ 1.432998
10 Dutch + French + French + Mixed_Slav @ 1.435208
11 French + Hungarians + Argyll + Argyll @ 1.472697
12 CEU + French + German + Hungarians @ 1.503970
13 French + French + Kent + Mixed_Slav @ 1.509762
14 French + Hungarians + Orcadian + Argyll @ 1.509981
15 Cornwall + Mixed_Slav + Spaniards + Argyll @ 1.514307
16 Irish + Mixed_Slav + Spaniards + Argyll @ 1.523337
17 CEU + French + Hungarians + Argyll @ 1.525988
18 French + Hungarians + Orkney + Argyll @ 1.527730
19 Mixed_Germanic + Mixed_Germanic + Polish + Spaniards @ 1.536902
20 CEU + French + German + Hungarians @ 1.546423

Done.

Elapsed time 1.7426 seconds.

[Gooding]

Yeah it's out of sink. Had my 23andme done 4 years ago & Dodecad hasn't updated in a while now.

Okay, I was wondering where all those Hungarian and Slavic readings were coming from.

[Gooding]

Compare that with my results from the Eurogenes K13 engine.




Eurogenes K13 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.

K13 Oracle ref data revised 21 Nov 2013

Admix Results (sorted):


# Population Percent
1 North_Atlantic 47.97
2 Baltic 24.33
3 West_Med 14.79
4 West_Asian 5.01
5 East_Med 4.12


Finished reading population data. 204 populations found.
13 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Southeast_English @ 3.296912
2 Orcadian @ 4.506057
3 Southwest_English @ 4.917368
4 North_Dutch @ 5.169475
5 South_Dutch @ 5.559696
6 Danish @ 5.706536
7 Irish @ 5.803369
8 North_German @ 6.000377
9 West_Scottish @ 6.416744
10 West_German @ 7.110640
11 Norwegian @ 7.726747
12 Swedish @ 9.248416
13 French @ 11.883265
14 Austrian @ 13.049087
15 East_German @ 13.538095
16 North_Swedish @ 15.265244
17 Hungarian @ 18.612736
18 Spanish_Cataluna @ 19.988382
19 Southwest_French @ 20.807871
20 Spanish_Castilla_Y_Leon @ 21.246466

Using 2 populations approximation:
1 50% Orcadian +50% South_Dutch @ 2.013047


Using 3 populations approximation:
1 50% North_Dutch +25% Spanish_Cantabria +25% Swedish @ 0.994333


Using 4 populations approximation:
1 North_Dutch + Norwegian + Spanish_Cantabria + Swedish @ 0.819407
2 North_German + Norwegian + Norwegian + Spanish_Cantabria @ 0.916236
3 Irish + Spanish_Cantabria + Swedish + Swedish @ 0.923874
4 Danish + Norwegian + Spanish_Cantabria + Swedish @ 0.978693
5 North_Dutch + North_Dutch + Spanish_Cantabria + Swedish @ 0.994333
6 North_German + Norwegian + Norwegian + Southwest_French @ 1.035776
7 Spanish_Cantabria + Swedish + Swedish + West_Scottish @ 1.040004
8 Irish + Norwegian + Spanish_Cataluna + Swedish @ 1.042969
9 Spanish_Cataluna + Swedish + Swedish + West_Scottish @ 1.083445
10 Irish + Spanish_Castilla_La_Mancha + Swedish + Swedish @ 1.083897
11 North_Dutch + Spanish_Aragon + Swedish + Swedish @ 1.086088
12 Norwegian + Norwegian + Spanish_Castilla_La_Mancha + Swedish @ 1.095790
13 Irish + Spanish_Cataluna + Swedish + Swedish @ 1.108024
14 Irish + Spanish_Valencia + Swedish + Swedish @ 1.111750
15 North_Dutch + North_Dutch + Southwest_French + Swedish @ 1.116421
16 Irish + Norwegian + Spanish_Cantabria + Swedish @ 1.152156
17 Danish + North_Dutch + Southwest_French + Swedish @ 1.153069
18 East_German + Southeast_English + Southwest_English + Southwest_English @ 1.156707
19 Danish + North_Dutch + Spanish_Cantabria + Swedish @ 1.157363
20 North_Dutch + Norwegian + Norwegian + Spanish_Cantabria @ 1.159144

Done.

Elapsed time 1.9581 seconds.

[firemonkey]

1 West_European 54.36
2 Mediterranean 24.91
3 East_European 11.97
4 West_Asian 6.37
5 South_Asian 1.63
6 Northwest_African 0.58
7 Northeast_Asian 0.13
8 Southeast_Asian 0.03
9 East_African 0.03

Dodecad V3

1 CEU (HapMap) 1.94
2 Orcadian (HGDP) 2.25
3 Argyll (1000 Genomes) 2.38
4 Orkney (1000 Genomes) 2.4
5 N._European (Xing) 3.31
6 German (Dodecad) 5.71
7 Mixed_Germanic (Dodecad) 8.82
8 Dutch (Dodecad) 9.54
9 French (HGDP) 11.36
10 French (Dodecad) 11.45
11 Kent (1000 Genomes) 11.53
12 British_Isles (Dodecad) 13.05
13 British (Dodecad) 13.33
14 Cornwall (1000 Genomes) 14.05
15 Swedish (Dodecad) 15.01
16 Irish (Dodecad) 15.94
17 Norwegian (Dodecad) 15.95
18 Slovenian (Xing) 16.51
19 Hungarians (Behar) 20.48
20 French_Basque (HGDP) 22.09


Dodecad v3:

Primary Population (source) Secondary Population (source) Distance
1 94% Orkney (1000 Genomes) + 6% Balkans (Dodecad) @ 1.34
2 91.2% Orkney (1000 Genomes) + 8.8% Hungarians (Behar) @ 1.36
3 94.4% Orkney (1000 Genomes) + 5.6% Romanians_14 (Behar) @ 1.42
4 98% Orcadian (HGDP) + 2% Mala (Reich) @ 1.44
5 97.9% Orcadian (HGDP) + 2.1% Bhil (Reich) @ 1.44
6 97.9% Orcadian (HGDP) + 2.1% AP_Madiga (Xing) @ 1.45
7 98% Orcadian (HGDP) + 2% TN_Dalit (Xing) @ 1.46
8 97.9% Orcadian (HGDP) + 2.1% Kurumba (Reich) @ 1.46
9 97.8% Orcadian (HGDP) + 2.2% Hallaki (Reich) @ 1.46
10 89.6% Orkney (1000 Genomes) + 10.4% Slovenian (Xing) @ 1.46
11 97.9% Orcadian (HGDP) + 2.1% Chenchu (Reich) @ 1.46
12 98.1% Orcadian (HGDP) + 1.9% North_Kannadi (Behar) @ 1.47
13 97.8% Orcadian (HGDP) + 2.2% Satnami (Reich) @ 1.47
14 92.3% Orcadian (HGDP) + 7.7% Hungarians (Behar) @ 1.47
15 98% Orcadian (HGDP) + 2% Vysya (Reich) @ 1.47
16 97.6% Orcadian (HGDP) + 2.4% Srivastava (Reich) @ 1.47
17 98% Orcadian (HGDP) + 2% AP_Mala (Xing) @ 1.48
18 97.8% Orcadian (HGDP) + 2.2% Lodi (Reich) @ 1.48
19 97.9% Orcadian (HGDP) + 2.1% Naidu (Reich) @ 1.48
20 97.8% Orcadian (HGDP) + 2.2% INS (SGVP) @ 1.49


Dodecad v3:

Using 1 population approximation:
1 Orcadian @ 2.199
2 CEU @ 2.222
3 Orkney @ 2.396
4 Argyll @ 2.596
5 N._European @ 3.857
6 German @ 6.406
7 Mixed_Germanic @ 9.669
8 Dutch @ 10.377
9 French @ 12.510
10 Kent @ 12.560
227 iterations.



Using 2 populations approximation:
1 50% CEU +50% Orkney @ 1.775
2 50% CEU +50% Orcadian @ 1.815
3 50% CEU +50% Argyll @ 1.916
4 50% Orcadian +50% Orcadian @ 2.199
5 50% CEU +50% CEU @ 2.222
6 50% Orcadian +50% Argyll @ 2.223
7 50% Orcadian +50% Orkney @ 2.280
8 50% Orkney +50% Argyll @ 2.326
9 50% Orkney +50% Orkney @ 2.396
10 50% Orcadian +50% N._European @ 2.571
25878 iterations.



Using 3 populations approximation:
1 50% CEU +25% Orkney +25% Orkney @ 1.775
2 50% Orkney +25% CEU +25% CEU @ 1.775
3 50% CEU +25% Orcadian +25% Orkney @ 1.789
4 50% CEU +25% Orkney +25% Argyll @ 1.790
5 50% Orcadian +25% CEU +25% German @ 1.791
6 50% Orkney +25% CEU +25% German @ 1.799
7 50% CEU +25% Orcadian +25% Argyll @ 1.809
8 50% CEU +25% Orcadian +25% Orcadian @ 1.815
9 50% Orcadian +25% CEU +25% CEU @ 1.815
10 50% CEU +25% CEU +25% Orkney @ 1.870
413312 iterations.



Using 4 populations approximation:
1 CEU + CEU + Orkney + Orkney @ 1.775
2 CEU + CEU + Orcadian + Orkney @ 1.789
3 CEU + German + Orcadian + Orkney @ 1.789
4 CEU + CEU + Orkney + Argyll @ 1.790
5 CEU + German + Orcadian + Orcadian @ 1.791
6 CEU + German + Orkney + Orkney @ 1.799
7 CEU + CEU + Orcadian + Argyll @ 1.809
8 CEU + CEU + Orcadian + Orcadian @ 1.815
9 CEU + CEU + CEU + Orkney @ 1.870
10 CEU + CEU + German + Orkney @ 1.879
11 German + Orcadian + Orcadian + Orcadian @ 1.883
12 CEU + Orcadian + Orcadian + Argyll @ 1.891
13 CEU + Orcadian + Orkney + Argyll @ 1.907
14 German + Orcadian + Orcadian + Orkney @ 1.914
15 CEU + CEU + German + Orcadian @ 1.915
16 CEU + Orcadian + Orcadian + Orcadian @ 1.915
17 CEU + CEU + Argyll + Argyll @ 1.916
18 CEU + Orcadian + Orcadian + Orkney @ 1.923
19 CEU + CEU + CEU + Orcadian @ 1.928
20 CEU + Orkney + Orkney + Argyll @ 1.934

[Eleonore]

# Population Percent
1 West_European 48.51
2 Mediterranean 26.03
3 East_European 14.23
4 West_Asian 9.13


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

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

Least-squares method.

Using 1 population approximation:
1 CEU @ 6.516209
2 German @ 6.955733
3 N._European @ 7.737276
4 Argyll @ 8.101078
5 Orcadian @ 8.681027
6 Orkney @ 9.094060
7 Slovenian @ 12.226835
8 French @ 13.651615
9 French @ 13.695391
10 Mixed_Germanic @ 14.976444
11 Dutch @ 16.496809
12 Hungarians @ 16.800240
13 Kent @ 18.836283
14 British_Isles @ 20.767460
15 British @ 20.986263
16 Cornwall @ 21.628948
17 Swedish @ 22.094446
18 Norwegian @ 23.823612
19 Irish @ 23.988302
20 Portuguese @ 25.300209

Using 2 populations approximation:
1 50% Balkans +50% Irish @ 2.660716


Using 3 populations approximation:
1 50% Orkney +25% Orkney +25% Romanians_14 @ 1.295948


Using 4 populations approximation:
1 Balkans + CEU + Mixed_Germanic + Orcadian @ 0.969785
2 Balkans + CEU + Mixed_Germanic + Orkney @ 1.008521
3 Balkans + CEU + CEU + Mixed_Germanic @ 1.037601
4 Balkans + CEU + Mixed_Germanic + Argyll @ 1.052403
5 Balkans + CEU + Dutch + Argyll @ 1.155509
6 Cornwall + Mixed_Germanic + Mixed_Slav + N_Italian @ 1.234821
7 German + Kent + Orcadian + Romanians_14 @ 1.235405
8 Balkans + Mixed_Germanic + Orcadian + Orcadian @ 1.252724
9 Dutch + German + Orkney + Romanians_14 @ 1.258104
10 Dutch + German + Orcadian + Romanians_14 @ 1.265702
11 Balkans + Cornwall + Cornwall + Hungarians @ 1.278372
12 Irish + Mixed_Germanic + Mixed_Slav + N_Italian @ 1.279172
13 German + Kent + Orkney + Romanians_14 @ 1.283620
14 German + Kent + Romanians_14 + Argyll @ 1.284037
15 Balkans + Mixed_Germanic + Orcadian + Argyll @ 1.290852
16 Orkney + Orkney + Orkney + Romanians_14 @ 1.295948
17 Balkans + CEU + CEU + Dutch @ 1.303734
18 CEU + German + Kent + Romanians_14 @ 1.304666
19 Orkney + Orkney + Romanians_14 + Argyll @ 1.334721
20 British_Isles + CEU + German + Romanians_14 @ 1.337312

[Highlands]

# Population Percent
1 Mediterranean 36.02
2 West_European 23
3 West_Asian 21.35
4 East_European 11.64
5 Southwest_Asian 7.03
6 Northwest_African 0.68
7 Southeast_Asian 0.28

# Population (source) Distance
1 Tuscan (Xing) 9.05
2 Ashkenazy_Jews (Behar) 9.29
3 Tuscan (Henn) 9.95
4 O_Italian (Dodecad) 10.09
5 TSI (HapMap) 10.13
6 Ashkenazi (Dodecad) 10.3
7 C_Italian (Dodecad) 10.95
8 Greek (Dodecad) 11.89
9 Romanians_14 (Behar) 12.49
10 S_Italian_Sicilian (Dodecad) 13.8
11 Tuscan (HGDP) 13.83
12 Sicilian (Dodecad) 15.09
13 N_Italian (Dodecad) 15.81
14 Morocco_Jews (Behar) 16.29
15 S_Italian (Dodecad) 16.55
16 Balkans (Dodecad) 17.75
17 Sephardic_Jews (Behar) 18.82
18 North_Italian (HGDP) 19.52
19 Slovenian (Xing) 23.98
20 Hungarians (Behar) 24.23

[Gooding]

Dodecad V3 Oracle results:
The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.

Kit M372705

Admix Results (sorted):


# Population Percent
1 West_European 49.61
2 Mediterranean 27.02
3 East_European 14.58
4 West_Asian 6.75
5 South_Asian 1.21
6 Southwest_Asian 0.42
7 Southeast_Asian 0.26
8 Northwest_African 0.14

Single Population Sharing:


# Population (source) Distance
1 CEU (HapMap) 5.16
2 German (Dodecad) 5.82
3 N._European (Xing) 6.87
4 Argyll (1000 Genomes) 6.9
5 Orcadian (HGDP) 7
6 Orkney (1000 Genomes) 7.36
7 French (Dodecad) 11.51
8 French (HGDP) 11.84
9 Slovenian (Xing) 12.08
10 Mixed_Germanic (Dodecad) 13.5
11 Dutch (Dodecad) 14.4
12 Hungarians (Behar) 15.75
13 Kent (1000 Genomes) 16.46
14 British_Isles (Dodecad) 18.11
15 British (Dodecad) 18.33
16 Cornwall (1000 Genomes) 18.99
17 Swedish (Dodecad) 19.4
18 Norwegian (Dodecad) 20.81
19 Irish (Dodecad) 21.07
20 French_Basque (HGDP) 21.87

Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 83.1% German (Dodecad) + 16.9% North_Italian (HGDP) @ 1.5
2 76.3% CEU (HapMap) + 23.7% Hungarians (Behar) @ 1.74
3 79.4% Orcadian (HGDP) + 20.6% Balkans (Dodecad) @ 1.76
4 81.6% German (Dodecad) + 18.4% IBS (1000Genomes) @ 1.76
5 78.5% Orkney (1000 Genomes) + 21.5% Balkans (Dodecad) @ 1.77
6 84.4% CEU (HapMap) + 15.6% Balkans (Dodecad) @ 1.8
7 81.6% German (Dodecad) + 18.4% Spanish (Dodecad) @ 1.86
8 81.2% German (Dodecad) + 18.8% N_Italian (Dodecad) @ 1.9
9 86.2% German (Dodecad) + 13.8% Sardinian (HGDP) @ 1.91
10 81.1% German (Dodecad) + 18.9% Spaniards (Behar) @ 1.93
11 80.6% German (Dodecad) + 19.4% Portuguese (Dodecad) @ 2.19
12 79.7% Orkney (1000 Genomes) + 20.3% Romanians_14 (Behar) @ 2.21
13 80.6% Orcadian (HGDP) + 19.4% Romanians_14 (Behar) @ 2.25
14 81.1% French (HGDP) + 18.9% Lithuanian (Dodecad) @ 2.3
15 72% CEU (HapMap) + 28% Slovenian (Xing) @ 2.34
16 80.2% French (HGDP) + 19.8% Lithuanians (Behar) @ 2.35
17 85.6% German (Dodecad) + 14.4% Tuscan (HGDP) @ 2.4
18 85.8% CEU (HapMap) + 14.2% Romanians_14 (Behar) @ 2.4
19 70.3% Orcadian (HGDP) + 29.7% Hungarians (Behar) @ 2.43
20 69.3% Orkney (1000 Genomes) + 30.7% Hungarians (Behar) @ 2.61

[Damião de Góis]

From the spreadsheet:

Population
Mediterranean 42.6%
West_European 37%
Northwest_African 7.2%
West_Asian 6.9%
East_European 3.7%
Neo_African 1%
East_African 0.9%
South_Asian 0.5%
Palaeo_African 0.3%
Northeast_Asian -
Southeast_Asian -
Southwest_Asian -

Oracle:

# Population (source) Distance
1 Portuguese (Dodecad) 3.69
2 IBS (1000Genomes) 6.7
3 Spanish (Dodecad) 7.43
4 Spaniards (Behar) 7.91
5 N_Italian (Dodecad) 10.81
6 North_Italian (HGDP) 11.56
7 French_Basque (HGDP) 14.98
8 Sardinian (HGDP) 15.47
9 French (Dodecad) 15.66
10 French (HGDP) 16.21
11 Tuscan (Henn) 16.61
12 TSI (HapMap) 16.8
13 Tuscan (Xing) 17.11
14 Tuscan (HGDP) 17.44
15 O_Italian (Dodecad) 17.94
16 C_Italian (Dodecad) 22.86
17 CEU (HapMap) 23.22
18 Orcadian (HGDP) 25.01
19 N._European (Xing) 25.16
20 Orkney (1000 Genomes) 25.36

Using 2 populations approximation:
1 50% Portuguese +50% Portuguese @ 4.128263


Using 3 populations approximation:
1 50% Portuguese +25% Portuguese +25% Portuguese @ 4.128263

[Grace O'Malley]

I don't know what is wrong with this calculator. Possibly calculator effect. I guess Argyll can be a stand in for Irish but that still doesn't explain how distant Irish is on this. It doesn't look very good unless you are in the original runs (I remember Graham explaining this in a previous post).

Also why is there Orcadian and then Orkney?

# Population Percent
1 West_European 55.91
2 Mediterranean 22.82
3 East_European 12.50
4 West_Asian 7.35
5 Southwest_Asian 1.09


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

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

Least-squares method.

Using 1 population approximation:
1 Argyll @ 1.724767
2 Orkney @ 2.525716
3 Orcadian @ 2.650655
4 N._European @ 2.840145
5 CEU @ 3.777774
6 German @ 5.598222
7 Mixed_Germanic @ 8.379529
8 Dutch @ 9.731529
9 Kent @ 11.847285
10 British_Isles @ 13.358769
11 British @ 13.789613
12 Swedish @ 14.053579
13 French @ 14.555214
14 Cornwall @ 14.584146
15 French @ 14.885574
16 Norwegian @ 15.435958
17 Irish @ 16.345211
18 Slovenian @ 19.029995
19 Hungarians @ 23.640451
20 FIN @ 24.355963

Using 2 populations approximation:
1 50% German +50% Mixed_Germanic @ 1.724341


Using 3 populations approximation:
1 50% German +25% Mixed_Germanic +25% Orcadian @ 0.493557


Using 4 populations approximation:
1 German + German + Mixed_Germanic + Orcadian @ 0.493557
2 German + German + Mixed_Germanic + Orkney @ 0.514904
3 German + German + Kent + Argyll @ 0.535818
4 Dutch + German + German + Argyll @ 0.581012
5 German + Hungarians + Irish + Kent @ 0.656649
6 Dutch + German + German + Orkney @ 0.669987
7 Dutch + German + German + Orcadian @ 0.682764
8 British_Isles + German + Hungarians + Irish @ 0.682910
9 CEU + Hungarians + Kent + Norwegian @ 0.794035
10 CEU + German + German + Kent @ 0.805965
11 German + German + Kent + N._European @ 0.821285
12 British + German + Hungarians + Irish @ 0.824801
13 German + German + Kent + Orcadian @ 0.844976
14 British_Isles + British_Isles + German + Hungarians @ 0.845692
15 British_Isles + CEU + German + German @ 0.862508
16 German + German + Kent + Orkney @ 0.890322
17 Cornwall + German + Hungarians + Irish @ 0.907929
18 German + German + Mixed_Germanic + Argyll @ 0.916127
19 British_Isles + Cornwall + German + Hungarians @ 0.932268
20 British + British_Isles + German + Hungarians @ 0.958176

[Grace O'Malley]

Just did my brother he comes out super Argyll on this. Argyll could be a proxy for Irish due to Dal Raida but it still doesn't explain the distance to Irish.

Admix Results (sorted):

# Population Percent
1 West_European 55.73
2 Mediterranean 23.88
3 East_European 11.53
4 West_Asian 7.99


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

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

Least-squares method.

Using 1 population approximation:
1 Argyll @ 0.565030
2 Orcadian @ 1.562483
3 Orkney @ 1.630533
4 CEU @ 2.852022
5 N._European @ 3.063333
6 German @ 6.794579
7 Mixed_Germanic @ 7.879172
8 Dutch @ 9.140138
9 Kent @ 11.320555
10 British_Isles @ 13.032257
11 French @ 13.265917
12 British @ 13.392177
13 French @ 13.728616
14 Cornwall @ 14.127272
15 Swedish @ 15.213319
16 Irish @ 16.168478
17 Norwegian @ 16.262777
18 Slovenian @ 19.410198
19 Hungarians @ 24.002855
20 French_Basque @ 25.524464

Using 2 populations approximation:
1 50% Argyll +50% Argyll @ 0.565030


Using 3 populations approximation:
1 50% Argyll +25% Argyll +25% Argyll @ 0.565030


Using 4 populations approximation:
1 Orcadian + Argyll + Argyll + Argyll @ 0.473673
2 Orkney + Argyll + Argyll + Argyll @ 0.508771
3 Argyll + Argyll + Argyll + Argyll @ 0.565030
4 Orcadian + Orkney + Argyll + Argyll @ 0.713675
5 Orcadian + Orcadian + Argyll + Argyll @ 0.746466
6 CEU + Argyll + Argyll + Argyll @ 0.777785
7 Orkney + Orkney + Argyll + Argyll @ 0.796454
8 CEU + Orkney + Argyll + Argyll @ 0.928478
9 Orcadian + Argyll + Argyll + N._European @ 0.977298
10 CEU + Orcadian + Argyll + Argyll @ 0.986916
11 Orkney + Argyll + Argyll + N._European @ 1.050506
12 Orcadian + Orcadian + Argyll + N._European @ 1.075658
13 British_Isles + Hungarians + Kent + Argyll @ 1.086185
14 Orcadian + Orkney + Argyll + N._European @ 1.090731
15 Argyll + Argyll + Argyll + N._European @ 1.117462
16 Orkney + Orkney + Argyll + N._European @ 1.146330
17 Orcadian + Orcadian + Orkney + Argyll @ 1.151862
18 Orcadian + Orcadian + Orcadian + Argyll @ 1.155426
19 Hungarians + Kent + Kent + Argyll @ 1.187149
20 Orcadian + Orkney + Orkney + Argyll @ 1.193199


This is my mother's results

Admix Results (sorted):

# Population Percent
1 West_European 54.55
2 Mediterranean 24.30
3 East_European 11.67
4 West_Asian 7.98
5 South_Asian 1.43


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

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

Least-squares method.

Using 1 population approximation:
1 Argyll @ 1.535461
2 CEU @ 2.164015
3 Orcadian @ 2.273614
4 Orkney @ 2.475574
5 N._European @ 2.935289
6 German @ 6.424292
7 Mixed_Germanic @ 8.854604
8 Dutch @ 10.073667
9 Kent @ 12.334026
10 French @ 12.772262
11 French @ 13.165826
12 British_Isles @ 14.107820
13 British @ 14.416919
14 Cornwall @ 15.137771
15 Swedish @ 16.331881
16 Irish @ 17.275829
17 Norwegian @ 17.459055
18 Slovenian @ 18.404331
19 Hungarians @ 22.990721
20 French_Basque @ 25.110489

Using 2 populations approximation:
1 50% CEU +50% Argyll @ 1.170297


Using 3 populations approximation:
1 50% CEU +25% Argyll +25% Argyll @ 1.170297


Using 4 populations approximation:
1 CEU + Argyll + Argyll + Argyll @ 1.125148
2 CEU + CEU + Argyll + Argyll @ 1.170297
3 Dutch + Hungarians + Kent + Argyll @ 1.308211
4 CEU + Argyll + Argyll + N._European @ 1.332748
5 CEU + Orcadian + Argyll + Argyll @ 1.337553
6 Dutch + Hungarians + Kent + Orkney @ 1.349539
7 Dutch + Hungarians + Kent + Orcadian @ 1.353246
8 CEU + Orkney + Argyll + Argyll @ 1.377786
9 Cornwall + Orcadian + Orcadian + Slovenian @ 1.392163
10 Cornwall + Orcadian + Orkney + Slovenian @ 1.395744
11 Dutch + Dutch + Hungarians + Orkney @ 1.419875
12 British + Orcadian + Orcadian + Slovenian @ 1.422038
13 Hungarians + Kent + Kent + Argyll @ 1.428832
14 Cornwall + Orkney + Orkney + Slovenian @ 1.435692
15 Kent + Orcadian + Orkney + Slovenian @ 1.435860
16 British + Orcadian + Orkney + Slovenian @ 1.440885
17 Dutch + Dutch + Hungarians + Orcadian @ 1.441843
18 CEU + CEU + Orkney + Argyll @ 1.442227
19 Kent + Orkney + Orkney + Slovenian @ 1.444221
20 British_Isles + Orcadian + Orcadian + Slovenian @ 1.452193

[Not a Cop]

No alarms and no surprises

1 Mixed_Germanic + Russian + Russian + Finnish @ 1.844955
2 Dutch + Russian + Russian + Finnish @ 2.118339

[Iloko]

Admix Results (sorted):

# Population Percent
1 Southeast_Asian 78.49
2 Northeast_Asian 8.78
3 South_Asian 5.93
4 East_European 3.78
5 Southwest_Asian 1.21
6 Mediterranean 0.6
7 East_African 0.57
8 West_European 0.29
9 Neo_African 0.21
10 Palaeo_African 0.08
11 West_Asian 0.05

[Petalpusher]

1 West_European 45.79
2 Mediterranean 33.87
3 East_European 9.50
4 West_Asian 8.39
5 Southwest_Asian 1.64

West_European----45.79%
Mediterranean------33.87%
East_European------9.50%
West_Asian---------8.39%
Southwest_Asian----1.64%
Northwest_African---0.61%
Neo_African ---------0.10%
East_African--------------
Palaeo_African------------
South_Asian--------------
Northeast_Asian----------


Least-squares method.

Using 1 population approximation:
1 French @ 8.051027
2 French @ 8.490770
3 CEU @ 11.727421
4 Orcadian @ 14.009427
5 N._European @ 14.018791
6 Orkney @ 14.493748
7 Argyll @ 14.510611
8 German @ 15.637795
9 Portuguese @ 16.508904
10 Spaniards @ 17.327362
11 N_Italian @ 17.467691
12 Slovenian @ 17.587505
13 French_Basque @ 17.717216
14 IBS @ 18.324879
15 Spanish @ 18.359514
16 Mixed_Germanic @ 18.956839
17 Dutch @ 19.481306
18 Tuscan @ 20.208084
19 TSI @ 20.393299
20 Tuscan @ 20.766748

Using 2 populations approximation:
1 50% N_Italian +50% Orkney @ 2.247058


Using 3 populations approximation:
1 50% German +25% N_Italian +25% Spaniards @ 1.414786


Using 4 populations approximation:
1 German + North_Italian + North_Italian + Swedish @ 0.586430
2 French_Basque + Hungarians + Mixed_Germanic + N_Italian @ 0.792522
3 Balkans + French + Kent + Spaniards @ 0.823087
4 French + French_Basque + Romanians_14 + Argyll @ 0.935468
5 Dutch + French + Hungarians + North_Italian @ 0.954670
6 Balkans + Dutch + French + Spaniards @ 0.956182
7 French + French_Basque + Romanians_14 + N._European @ 0.957623
8 French + Hungarians + Kent + North_Italian @ 0.960887
9 French_Basque + German + German + Tuscan @ 0.962954
10 Balkans + French + Mixed_Germanic + Spaniards @ 0.986705

[Gooding]

With all due respect.. this thing seems to be way off.. Where did all this Eastern European come from?? Is it maybe deep ancestry? We have no documentation for Hungarian or Polish or any of this..
Gedmatch.Com

Dodecad V3 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.

The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.

Admix Results (sorted):


# Population Percent
1 West_European 49.61
2 Mediterranean 27.02
3 East_European 14.58
4 West_Asian 6.75
5 South_Asian 1.21


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

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

Least-squares method.

Using 1 population approximation:
1 CEU @ 5.718964
2 German @ 6.413199
3 N._European @ 7.600528
4 Argyll @ 7.653700
5 Orcadian @ 7.776720
6 Orkney @ 8.171578
7 French @ 12.663768
8 French @ 13.027877
9 Slovenian @ 13.407598
10 Mixed_Germanic @ 14.985452
11 Dutch @ 15.985805
12 Hungarians @ 17.470774
13 Kent @ 18.275934
14 British_Isles @ 20.118895
15 British @ 20.347883
16 Cornwall @ 21.084616
17 Swedish @ 21.521936
18 Norwegian @ 23.126490
19 Irish @ 23.398907
20 French_Basque @ 24.091248

Using 2 populations approximation:
1 50% Hungarians +50% Kent @ 3.164591


Using 3 populations approximation:
1 50% French +25% Mixed_Germanic +25% Polish @ 1.382747


Using 4 populations approximation:
1 French + German + Hungarians + Orkney @ 1.167658
2 French + German + Hungarians + Orcadian @ 1.184730
3 French + German + Hungarians + Orcadian @ 1.315040
4 French + German + Hungarians + Orkney @ 1.321522
5 French + French + Mixed_Germanic + Polish @ 1.382747
6 French + German + Hungarians + Argyll @ 1.395325
7 Dutch + French + French + Mixed_Slav @ 1.397800
8 French + French + Mixed_Germanic + Polish @ 1.418770
9 Dutch + French + French + Polish @ 1.432998
10 Dutch + French + French + Mixed_Slav @ 1.435208
11 French + Hungarians + Argyll + Argyll @ 1.472697
12 CEU + French + German + Hungarians @ 1.503970
13 French + French + Kent + Mixed_Slav @ 1.509762
14 French + Hungarians + Orcadian + Argyll @ 1.509981
15 Cornwall + Mixed_Slav + Spaniards + Argyll @ 1.514307
16 Irish + Mixed_Slav + Spaniards + Argyll @ 1.523337
17 CEU + French + Hungarians + Argyll @ 1.525988
18 French + Hungarians + Orkney + Argyll @ 1.527730
19 Mixed_Germanic + Mixed_Germanic + Polish + Spaniards @ 1.536902
20 CEU + French + German + Hungarians @ 1.546423

Done.

Elapsed time 1.0636 seconds.

[Petalpusher]

The calculator is probably not the best but we all have some eastern Euro, like we all have west asian. Part of being European.

[Grace O'Malley]

With all due respect.. this thing seems to be way off.. Where did all this Eastern European come from?? Is it maybe deep ancestry? We have no documentation for Hungarian or Polish or any of this..
Gedmatch.Com

Dodecad V3 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.

The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.

Admix Results (sorted):


# Population Percent
1 West_European 49.61
2 Mediterranean 27.02
3 East_European 14.58
4 West_Asian 6.75
5 South_Asian 1.21


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

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

Least-squares method.

Using 1 population approximation:
1 CEU @ 5.718964
2 German @ 6.413199
3 N._European @ 7.600528
4 Argyll @ 7.653700
5 Orcadian @ 7.776720
6 Orkney @ 8.171578
7 French @ 12.663768
8 French @ 13.027877
9 Slovenian @ 13.407598
10 Mixed_Germanic @ 14.985452
11 Dutch @ 15.985805
12 Hungarians @ 17.470774
13 Kent @ 18.275934
14 British_Isles @ 20.118895
15 British @ 20.347883
16 Cornwall @ 21.084616
17 Swedish @ 21.521936
18 Norwegian @ 23.126490
19 Irish @ 23.398907
20 French_Basque @ 24.091248

Using 2 populations approximation:
1 50% Hungarians +50% Kent @ 3.164591


Using 3 populations approximation:
1 50% French +25% Mixed_Germanic +25% Polish @ 1.382747


Using 4 populations approximation:
1 French + German + Hungarians + Orkney @ 1.167658
2 French + German + Hungarians + Orcadian @ 1.184730
3 French + German + Hungarians + Orcadian @ 1.315040
4 French + German + Hungarians + Orkney @ 1.321522
5 French + French + Mixed_Germanic + Polish @ 1.382747
6 French + German + Hungarians + Argyll @ 1.395325
7 Dutch + French + French + Mixed_Slav @ 1.397800
8 French + French + Mixed_Germanic + Polish @ 1.418770
9 Dutch + French + French + Polish @ 1.432998
10 Dutch + French + French + Mixed_Slav @ 1.435208
11 French + Hungarians + Argyll + Argyll @ 1.472697
12 CEU + French + German + Hungarians @ 1.503970
13 French + French + Kent + Mixed_Slav @ 1.509762
14 French + Hungarians + Orcadian + Argyll @ 1.509981
15 Cornwall + Mixed_Slav + Spaniards + Argyll @ 1.514307
16 Irish + Mixed_Slav + Spaniards + Argyll @ 1.523337
17 CEU + French + Hungarians + Argyll @ 1.525988
18 French + Hungarians + Orkney + Argyll @ 1.527730
19 Mixed_Germanic + Mixed_Germanic + Polish + Spaniards @ 1.536902
20 CEU + French + German + Hungarians @ 1.546423

Done.

Elapsed time 1.0636 seconds.


It appears to not be accurate for people from Britain and Ireland. I think your result of CEU is quite good though as that is Utah Whites who are a British Isles/German mix usually.

[Eleonore]

I get the CEU thingie, how is that possible :dance nerd (love this smiley sorry)


Population
East_European 14.23%
West_European 48.51%
Mediterranean 26.03%
Neo_African -
West_Asian 9.13%
South_Asian -
Northeast_Asian 0.86%
Southeast_Asian -
East_African -
Southwest_Asian 0.69%
Northwest_African 0.56%
Palaeo_African


Using 1 population approximation:
1 CEU @ 6.516209
2 German @ 6.955733
3 N._European @ 7.737276
4 Argyll @ 8.101078
5 Orcadian @ 8.681027
6 Orkney @ 9.094060
7 Slovenian @ 12.226835
8 French @ 13.651615
9 French @ 13.695391
10 Mixed_Germanic @ 14.976444
11 Dutch @ 16.496809
12 Hungarians @ 16.800240
13 Kent @ 18.836283
14 British_Isles @ 20.767460
15 British @ 20.986263
16 Cornwall @ 21.628948
17 Swedish @ 22.094446
18 Norwegian @ 23.823612
19 Irish @ 23.988302
20 Portuguese @ 25.300209

Using 2 populations approximation:
1 50% Balkans +50% Irish @ 2.660716


Using 3 populations approximation:
1 50% Orkney +25% Orkney +25% Romanians_14 @ 1.295948


Using 4 populations approximation:
1 Balkans + CEU + Mixed_Germanic + Orcadian @ 0.969785
2 Balkans + CEU + Mixed_Germanic + Orkney @ 1.008521
3 Balkans + CEU + CEU + Mixed_Germanic @ 1.037601
4 Balkans + CEU + Mixed_Germanic + Argyll @ 1.052403
5 Balkans + CEU + Dutch + Argyll @ 1.155509
6 Cornwall + Mixed_Germanic + Mixed_Slav + N_Italian @ 1.234821
7 German + Kent + Orcadian + Romanians_14 @ 1.235405
8 Balkans + Mixed_Germanic + Orcadian + Orcadian @ 1.252724
9 Dutch + German + Orkney + Romanians_14 @ 1.258104
10 Dutch + German + Orcadian + Romanians_14 @ 1.265702
11 Balkans + Cornwall + Cornwall + Hungarians @ 1.278372
12 Irish + Mixed_Germanic + Mixed_Slav + N_Italian @ 1.279172
13 German + Kent + Orkney + Romanians_14 @ 1.283620
14 German + Kent + Romanians_14 + Argyll @ 1.284037
15 Balkans + Mixed_Germanic + Orcadian + Argyll @ 1.290852
16 Orkney + Orkney + Orkney + Romanians_14 @ 1.295948
17 Balkans + CEU + CEU + Dutch @ 1.303734
18 CEU + German + Kent + Romanians_14 @ 1.304666
19 Orkney + Orkney + Romanians_14 + Argyll @ 1.334721
20 British_Isles + CEU + German + Romanians_14 @ 1.337312

[Era]

The calculator is probably not the best but we all have some eastern Euro, like we all have west asian. Part of being European.

In my opinion that doesn't mean that we have origins from either of them rather than a part of our genome is similar to people in certain regions. It doesnt show provenance or origin for people who dont have mixed origins or their ancestors havent moved from their place.

[Gaston]

All dodecad tests were made until 2012. So obsolete to say the least.

You can still have fun with them, but anything prior to lazaridis et al. and the understanding of the calculator effect is bollocks.

[Petalpusher]

In my opinion that doesn't mean that we have origins from either of them rather than a part of our genome is similar to people in certain regions. It doesnt show provenance or origin for people who dont have mixed origins or their ancestors havent moved from their place.

Sure, i meant it's a component in the genesis of Europeans, it tries to pick up the eastern in broad terms with this particular test.

[Era]

^ My reply should have been to Gooding actually


With all due respect.. this thing seems to be way off.. Where did all this Eastern European come from?? Is it maybe deep ancestry? We have no documentation for Hungarian or Polish or any of this..
.

[Petalpusher]

^ My reply should have been to Gooding actually

I expected better from you benchmarkoid.

[Petalpusher]

I get the CEU thingie, how is that possible :dance nerd (love this smiley sorry)


We are all Americans as well after all. Can you pass in the US? Yes !

[Dr. Robotnik the Subbotnik]

With all due respect.. this thing seems to be way off.. Where did all this Eastern European come from?? Is it maybe deep ancestry? We have no documentation for Hungarian or Polish or any of this..
Gedmatch.Com

Dodecad V3 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.

The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.

Admix Results (sorted):


# Population Percent
1 West_European 49.61
2 Mediterranean 27.02
3 East_European 14.58
4 West_Asian 6.75
5 South_Asian 1.21


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

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

Least-squares method.

Using 1 population approximation:
1 CEU @ 5.718964
2 German @ 6.413199
3 N._European @ 7.600528
4 Argyll @ 7.653700
5 Orcadian @ 7.776720
6 Orkney @ 8.171578
7 French @ 12.663768
8 French @ 13.027877
9 Slovenian @ 13.407598
10 Mixed_Germanic @ 14.985452
11 Dutch @ 15.985805
12 Hungarians @ 17.470774
13 Kent @ 18.275934
14 British_Isles @ 20.118895
15 British @ 20.347883
16 Cornwall @ 21.084616
17 Swedish @ 21.521936
18 Norwegian @ 23.126490
19 Irish @ 23.398907
20 French_Basque @ 24.091248

Using 2 populations approximation:
1 50% Hungarians +50% Kent @ 3.164591


Using 3 populations approximation:
1 50% French +25% Mixed_Germanic +25% Polish @ 1.382747


Using 4 populations approximation:
1 French + German + Hungarians + Orkney @ 1.167658
2 French + German + Hungarians + Orcadian @ 1.184730
3 French + German + Hungarians + Orcadian @ 1.315040
4 French + German + Hungarians + Orkney @ 1.321522
5 French + French + Mixed_Germanic + Polish @ 1.382747
6 French + German + Hungarians + Argyll @ 1.395325
7 Dutch + French + French + Mixed_Slav @ 1.397800
8 French + French + Mixed_Germanic + Polish @ 1.418770
9 Dutch + French + French + Polish @ 1.432998
10 Dutch + French + French + Mixed_Slav @ 1.435208
11 French + Hungarians + Argyll + Argyll @ 1.472697
12 CEU + French + German + Hungarians @ 1.503970
13 French + French + Kent + Mixed_Slav @ 1.509762
14 French + Hungarians + Orcadian + Argyll @ 1.509981
15 Cornwall + Mixed_Slav + Spaniards + Argyll @ 1.514307
16 Irish + Mixed_Slav + Spaniards + Argyll @ 1.523337
17 CEU + French + Hungarians + Argyll @ 1.525988
18 French + Hungarians + Orkney + Argyll @ 1.527730
19 Mixed_Germanic + Mixed_Germanic + Polish + Spaniards @ 1.536902
20 CEU + French + German + Hungarians @ 1.546423

Done.

Elapsed time 1.0636 seconds.

Mate you have an ancestors with the fucking name Wisnowska.

[Neon Knight]

Dodecad V3
West European 55.22%
Mediterranean 23.73%
East European 11.61%
West Asian 8.58%
South Asian 0.67%
Southeast Asian 0.13%
Neo African 0.06%

1 Argyll (1000 Genomes) 0.88
2 Orcadian (HGDP) 1.98
3 Orkney (1000 Genomes) 2.11
4 CEU (HapMap) 2.58
5 N._European (Xing) 2.65
6 German (Dodecad) 5.99
7 Mixed_Germanic (Dodecad) 7.29
8 Dutch (Dodecad) 8.63
9 Kent (1000 Genomes) 10.61
10 French (HGDP) 12.11
11 British_Isles (Dodecad) 12.17
12 British (Dodecad) 12.49
13 French (Dodecad) 12.57
14 Cornwall (1000 Genomes) 13.13
15 Swedish (Dodecad) 14.05

I think those are my best results for any of the GEDmatch calculators.


My mum's results:

1 West_European 53.78
2 Mediterranean 23.4
3 East_European 11.61
4 West_Asian 10.35
5 Northwest_African 0.83
6 Neo_African 0.04

1 Argyll (1000 Genomes) 2.84
2 N._European (Xing) 3.36
3 CEU (HapMap) 3.55
4 Orcadian (HGDP) 3.96
5 Orkney (1000 Genomes) 4.16
6 German (Dodecad) 6.26
7 Mixed_Germanic (Dodecad) 8.02
8 Dutch (Dodecad) 9.82
9 Kent (1000 Genomes) 11.82
10 French (HGDP) 12.36
11 French (Dodecad) 12.99
12 British_Isles (Dodecad) 13.45
13 British (Dodecad) 13.75
14 Cornwall (1000 Genomes) 14.29
15 Swedish (Dodecad) 15.23

[Graham]

It's hard to compare like-for-like. The overfit & calc effect. have said before. 1000 genomes and Dodecad are out of sink on Oracle I think.

http://s29.postimg.org/5i2vgs29j/image.jpghttp://s23.postimg.org/gp0hzsfwr/image.jpghttp://s29.postimg.org/ftf89ftyv/v31.jpg

[Siginulfo]

Admix Results (sorted):

# Population Percent
1 Mediterranean 35.70
2 West_European 23.02
3 West_Asian 20.68
4 Southwest_Asian 10.41
5 East_European 6.93
6 Northwest_African 2.77


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

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

Least-squares method.

Using 1 population approximation:
1 Ashkenazy_Jews @ 6.041652
2 Ashkenazi @ 7.060810
3 Tuscan @ 8.107965
4 Tuscan @ 8.902706
5 TSI @ 9.439683
6 O_Italian @ 9.489076
7 C_Italian @ 10.679910
8 S_Italian_Sicilian @ 13.275015
9 Morocco_Jews @ 13.440388
10 Tuscan @ 14.786115
11 Sicilian @ 15.438376
12 Greek @ 15.460330
13 S_Italian @ 17.109985
14 N_Italian @ 17.867369
15 Sephardic_Jews @ 18.123594
16 Romanians_14 @ 19.084055
17 North_Italian @ 21.631311
18 Balkans @ 24.535576
19 Turkish @ 27.395041
20 Portuguese @ 27.628532

Using 2 populations approximation:
1 50% Ashkenazy_Jews +50% Tuscan @ 3.187739


Using 3 populations approximation:
1 50% O_Italian +25% Samaritians +25% Slovenian @ 1.723940


Using 4 populations approximation:
1 German + O_Italian + Samaritians + Sicilian @ 1.460840
2 Ashkenazy_Jews + Druze + Sardinian + Slovenian @ 1.467802
3 Cypriots + German + Morocco_Jews + O_Italian @ 1.481698
4 Ashkenazi + Druze + Sardinian + Slovenian @ 1.489110
5 Cypriots + German + Sephardic_Jews + Tuscan @ 1.680799
6 Druze + French_Basque + Morocco_Jews + Romanians_14 @ 1.682252
7 Morocco_Jews + North_Italian + Samaritians + Slovenian @ 1.721181
8 O_Italian + O_Italian + Samaritians + Slovenian @ 1.723940
9 Cypriots + German + Sephardic_Jews + Tuscan @ 1.725565
10 Ashkenazi + North_Italian + Samaritians + Slovenian @ 1.755064
11 Druze + Morocco_Jews + North_Italian + Slovenian @ 1.764470
12 French_Basque + Georgia_Jews + Morocco_Jews + Romanians_14 @ 1.770607
13 Balkans + Druze + French_Basque + Morocco_Jews @ 1.780563
14 Greek + Morocco_Jews + Sephardic_Jews + N._European @ 1.837899
15 Ashkenazy_Jews + German + Sephardic_Jews + Sephardic_Jews @ 1.851299
16 Ashkenazi + Iraq_Jews + Sardinian + Slovenian @ 1.859277
17 French_Basque + Iraq_Jews + Morocco_Jews + Romanians_14 @ 1.862784
18 Ashkenazy_Jews + German + S_Italian + Sephardic_Jews @ 1.895536
19 Ashkenazi + German + S_Italian_Sicilian + Sephardic_Jews @ 1.904512
20 Azerbaijan_Jews + Morocco_Jews + Sardinian + Slovenian @ 1.920581

[DRUM]

..

Hey just a question if you don't mind.. Wich company did you use to get a such accurate Y-DNA result?

[Sikeliot]

Here is mine. :)

4 way Druze-Polish-Spanish-Spanish makes sense. Druze + Spanish comes out Sicilian. Then Spanish is capturing the Portuguese part, and Polish ancestry is my remaining quarter. The African gets sucked up, and amounts to 1.25% East, 0.37% Neo-African and 0.12% PaleoAfrican = 1.74%.


# 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


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

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

Least-squares method.

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

[noricum]

1 West_European 41.86
2 Mediterranean 24.14
3 East_European 21.82
4 West_Asian 8.66
5 Southwest_Asian 2.01
6 South_Asian 1.17
7 Palaeo_African 0.1
8 Northeast_Asian 0.08
9 East_African 0.08
10 Northwest_African 0.04
11 Southeast_Asian 0.03

Single Population Sharing:


# Population (source) Distance
1 Slovenian (Xing) 2.34
2 Hungarians (Behar) 6.24
3 German (Dodecad) 11.02
4 CEU (HapMap) 14.65
5 N._European (Xing) 15
6 Argyll (1000 Genomes) 15.5
7 Orcadian (HGDP) 16.25
8 Orkney (1000 Genomes) 16.51
9 Balkans (Dodecad) 17.87
10 French (Dodecad) 20.3
11 Romanians_14 (Behar) 20.51
12 French (HGDP) 20.72
13 Mixed_Germanic (Dodecad) 22.07
14 FIN (1000Genomes) 22.62
15 Polish (Dodecad) 23
16 Mixed_Slav (Dodecad) 23.46
17 Dutch (Dodecad) 23.57
18 Tuscan (Xing) 24.4
19 Tuscan (Henn) 24.46
20 TSI (HapMap) 24.86

Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance
1 70.9% Hungarians (Behar) + 29.1% N._European (Xing) @ 1.12
2 78.3% Hungarians (Behar) + 21.7% Mixed_Germanic (Dodecad) @ 1.24
3 84.8% Slovenian (Xing) + 15.2% German (Dodecad) @ 1.27
4 58.7% Balkans (Dodecad) + 41.3% Swedish (Dodecad) @ 1.3
5 89.6% Slovenian (Xing) + 10.4% Orkney (1000 Genomes) @ 1.36
6 83.1% Hungarians (Behar) + 16.9% Irish (Dodecad) @ 1.36
7 89.5% Slovenian (Xing) + 10.5% Orcadian (HGDP) @ 1.37
8 79.4% Hungarians (Behar) + 20.6% Dutch (Dodecad) @ 1.39
9 88.6% Slovenian (Xing) + 11.4% CEU (HapMap) @ 1.4
10 82.2% Hungarians (Behar) + 17.8% Cornwall (1000 Genomes) @ 1.42
11 89.4% Slovenian (Xing) + 10.6% Argyll (1000 Genomes) @ 1.44
12 81.9% Hungarians (Behar) + 18.1% British (Dodecad) @ 1.45
13 81.7% Hungarians (Behar) + 18.3% British_Isles (Dodecad) @ 1.46
14 93.8% Slovenian (Xing) + 6.2% British_Isles (Dodecad) @ 1.49
15 80.9% Hungarians (Behar) + 19.1% Kent (1000 Genomes) @ 1.5
16 93.9% Slovenian (Xing) + 6.1% British (Dodecad) @ 1.5
17 89.3% Slovenian (Xing) + 10.7% N._European (Xing) @ 1.51
18 93.5% Slovenian (Xing) + 6.5% Kent (1000 Genomes) @ 1.51
19 93% Slovenian (Xing) + 7% Dutch (Dodecad) @ 1.52
20 94.4% Slovenian (Xing) + 5.6% Irish (Dodecad) @ 1.52

1 West_European 41.86
2 Mediterranean 24.14
3 East_European 21.82
4 West_Asian 8.66
5 Southwest_Asian 2.01
6 South_Asian 1.17


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

Least-squares method.

Using 1 population approximation:
1 Slovenian @ 2.571139
2 Hungarians @ 6.907999
3 German @ 12.276849
4 CEU @ 16.252377
5 N._European @ 16.638920
6 Argyll @ 17.222378
7 Orcadian @ 18.060289
8 Orkney @ 18.349369
9 Balkans @ 19.911499
10 French @ 22.405420
11 French @ 22.862059
12 Romanians_14 @ 22.904881
13 Mixed_Germanic @ 24.492224
14 FIN @ 24.807947
15 Polish @ 25.385614
16 Mixed_Slav @ 25.861372
17 Dutch @ 26.163574
18 Tuscan @ 27.074053
19 Tuscan @ 27.113169
20 TSI @ 27.572634

Using 2 populations approximation:
1 50% Slovenian +50% Slovenian @ 2.571139


Using 3 populations approximation:
1 50% Hungarians +25% N._European +25% Slovenian @ 0.873275


Using 4 populations approximation:
1 CEU + Lithuanian + O_Italian + Argyll @ 0.830504
2 Lithuanian + O_Italian + Orcadian + N._European @ 0.853406
3 Hungarians + Hungarians + N._European + Slovenian @ 0.873275
4 Lithuanian + O_Italian + Orkney + N._European @ 0.911431
5 Lithuanian + Tuscan + N._European + N._European @ 0.919571
6 Belorussian + German + TSI + Argyll @ 0.926123
7 Polish + Romanians_14 + N._European + N._European @ 0.927633
8 CEU + Lithuanian + O_Italian + N._European @ 0.949955
9 Lithuanian + O_Italian + Argyll + N._European @ 0.950992
10 Belorussian + German + Orkney + Tuscan @ 0.954775
11 Irish + Lithuanians + Tuscan + Slovenian @ 0.969466
12 CEU + Lithuanian + O_Italian + Orkney @ 0.971520
13 Irish + Lithuanian + Tuscan + Slovenian @ 0.992398
14 Belorussian + German + Argyll + Tuscan @ 1.008806
15 CEU + Lithuanian + O_Italian + Orcadian @ 1.011846
16 Lithuanian + O_Italian + Argyll + Argyll @ 1.016265
17 Belorussian + German + Orkney + TSI @ 1.019295
18 Lithuanians + O_Italian + Argyll + N._European @ 1.032802
19 Lithuanian + Tuscan + Argyll + N._European @ 1.040707
20 Belorussian + German + Orcadian + Tuscan @ 1.045036

[Siginulfo]

Hey just a question if you don't mind.. Wich company did you use to get a such accurate Y-DNA result?

I tested with both FTDNA (12 markers) and 23andMe. PF2272 is only another name for V65.

[Neon Knight]

Here is mine. :)

How good do you think this calculator is compared to the rest?

[Sikeliot]

How good do you think this calculator is compared to the rest?

I think it is good.

Btw here is my mother:

West_European 40.96%
Mediterranean 27.32%
East_European 22.06%
West_Asian 4.32%
Southwest_Asian 1.60%
East_African 1.27%
South_Asian 0.92%
Neo_African 0.53%
Northwest_African 0.63%
Palaeo_African 0.40%

Using 1 population approximation:
1 Slovenian @ 6.858879
2 Hungarians @ 7.609221
3 German @ 14.087211
4 CEU @ 17.315912
5 N._European @ 18.321093
6 Argyll @ 18.821180
7 Orcadian @ 19.206909
8 Orkney @ 19.516533
9 Balkans @ 19.702276
10 French @ 21.534697
11 French @ 22.493176
12 Romanians_14 @ 22.983387
13 Polish @ 25.484665
14 Mixed_Germanic @ 26.337946
15 FIN @ 26.412064
16 Mixed_Slav @ 26.428547
17 N_Italian @ 26.536055
18 Portuguese @ 27.032711
19 Tuscan @ 27.435541
20 Dutch @ 27.476168

Using 2 populations approximation:
1 50% French_Basque +50% Russian @ 3.987493


Using 3 populations approximation:
1 50% German +25% Lithuanians +25% Sardinian @ 2.550755


Using 4 populations approximation:
1 French + Lithuanian + Spanish + Slovenian @ 1.587675
2 French + IBS + Lithuanian + Slovenian @ 1.600052
3 French + Lithuanian + Spanish + Slovenian @ 1.604124
4 French + Lithuanian + Spaniards + Slovenian @ 1.616366
5 French + IBS + Lithuanian + Slovenian @ 1.647610
6 French + IBS + Lithuanians + Slovenian @ 1.713691
7 Belorussian + Orkney + Spanish + Slovenian @ 1.723513
8 French + Lithuanians + Portuguese + Slovenian @ 1.725164
9 French + Lithuanian + Spaniards + Slovenian @ 1.729045
10 Belorussian + Spanish + N._European + Slovenian @ 1.740449
11 Belorussian + Orcadian + Spanish + Slovenian @ 1.752413
12 French + Lithuanians + Spanish + Slovenian @ 1.760531
13 Belorussian + IBS + Orkney + Slovenian @ 1.789982
14 French + Lithuanians + Spanish + Slovenian @ 1.814691
15 French + IBS + Lithuanians + Slovenian @ 1.815909
16 Belorussian + Spaniards + N._European + Slovenian @ 1.827483
17 French + Lithuanians + Spaniards + Slovenian @ 1.834453
18 Belorussian + Dutch + Hungarians + Spanish @ 1.842977
19 Belorussian + Dutch + Hungarians + IBS @ 1.850129
20 German + Hungarians + Polish + Spanish @ 1.857520

[Petalpusher]

West_European........45.79
Mediterranean..........33.87
East_European..........9.50
West_Asian..............8.39
Southwest_Asian.......1.64
Northwest_African......0.61
Southeast_Asian.........0.10


Using 1 population approximation:
1 French @ 8.051027
2 French @ 8.490770
3 CEU @ 11.727421
4 Orcadian @ 14.009427
5 N._European @ 14.018791
6 Orkney @ 14.493748
7 Argyll @ 14.510611
8 German @ 15.637795
9 Portuguese @ 16.508904
10 Spaniards @ 17.327362
11 N_Italian @ 17.467691
12 Slovenian @ 17.587505
13 French_Basque @ 17.717216
14 IBS @ 18.324879
15 Spanish @ 18.359514
16 Mixed_Germanic @ 18.956839
17 Dutch @ 19.481306
18 Tuscan @ 20.208084
19 TSI @ 20.393299
20 Tuscan @ 20.766748

Using 2 populations approximation:
1 50% N_Italian +50% Orkney @ 2.247058


Using 3 populations approximation:
1 50% German +25% N_Italian +25% Spaniards @ 1.414786


Using 4 populations approximation:
1 German + North_Italian + North_Italian + Swedish @ 0.586430
2 French_Basque + Hungarians + Mixed_Germanic + N_Italian @ 0.792522
3 Balkans + French + Kent + Spaniards @ 0.823087
4 French + French_Basque + Romanians_14 + Argyll @ 0.935468
5 Dutch + French + Hungarians + North_Italian @ 0.954670

[DRUM]

1 Mediterranean 35.16
2 West_European 25.53
3 West_Asian 20.47
4 East_European 10.78
5 Southwest_Asian 6.66
6 Northwest_African 1.15
7 Neo_African 0.16
8 Southeast_Asian 0.09


Single Population Sharing:

# Population (source) Distance
1 Tuscan (Xing) 7.04
2 Tuscan (Henn) 7.99
3 TSI (HapMap) 8.16
4 O_Italian (Dodecad) 9.53
5 Ashkenazy_Jews (Behar) 9.86
6 Ashkenazi (Dodecad) 11.05
7 C_Italian (Dodecad) 11.77
8 Romanians_14 (Behar) 13.03
9 Tuscan (HGDP) 13.64
10 Greek (Dodecad) 14.31
11 N_Italian (Dodecad) 14.33
12 S_Italian_Sicilian (Dodecad) 15.35
13 Sicilian (Dodecad) 16.82
14 Morocco_Jews (Behar) 17.23
15 Balkans (Dodecad) 17.83
16 S_Italian (Dodecad) 18.3
17 North_Italian (HGDP) 18.46
18 Sephardic_Jews (Behar) 20.55
19 Slovenian (Xing) 22.21
20 Hungarians (Behar) 22.88


Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 59.3% S_Italian_Sicilian (Dodecad) + 40.7% Slovenian (Xing) @ 2.19
2 54.9% S_Italian (Dodecad) + 45.1% Slovenian (Xing) @ 2.59
3 76.2% Greek (Dodecad) + 23.8% Norwegian (Dodecad) @ 2.69
4 75.7% Greek (Dodecad) + 24.3% Swedish (Dodecad) @ 2.7
5 71.2% S_Italian (Dodecad) + 28.8% FIN (1000Genomes) @ 2.77
6 74.8% S_Italian_Sicilian (Dodecad) + 25.2% FIN (1000Genomes) @ 2.93
7 68.4% Greek (Dodecad) + 31.6% N._European (Xing) @ 3.03
8 66.6% Tuscan (Xing) + 33.4% Romanians_14 (Behar) @ 3.06
9 62.8% TSI (HapMap) + 37.2% Romanians_14 (Behar) @ 3.26
10 52% Cypriots (Behar) + 48% German (Dodecad) @ 3.3
11 71.5% Greek (Dodecad) + 28.5% Mixed_Germanic (Dodecad) @ 3.3
12 81.1% C_Italian (Dodecad) + 18.9% Finnish (Dodecad) @ 3.33
13 76.4% S_Italian_Sicilian (Dodecad) + 23.6% Finnish (Dodecad) @ 3.43
14 63.7% Tuscan (Henn) + 36.3% Romanians_14 (Behar) @ 3.56
15 60.2% S_Italian_Sicilian (Dodecad) + 39.8% Hungarians (Behar) @ 3.57
16 69.3% Greek (Dodecad) + 30.7% Argyll (1000 Genomes) @ 3.64
17 75.7% Greek (Dodecad) + 24.3% Irish (Dodecad) @ 3.67
18 72.4% Greek (Dodecad) + 27.6% Dutch (Dodecad) @ 3.71
19 57.2% Sicilian (Dodecad) + 42.8% Slovenian (Xing) @ 3.8
20 74.5% Greek (Dodecad) + 25.5% British_Isles (Dodecad) @ 3.8


Least-squares method.

Using 1 population approximation:
1 Tuscan @ 7.782906
2 Tuscan @ 8.859587
3 TSI @ 9.030184
4 O_Italian @ 10.473781
5 Ashkenazy_Jews @ 10.936502
6 Ashkenazi @ 12.271040
7 C_Italian @ 12.968548
8 Romanians_14 @ 14.394963
9 Tuscan @ 15.019642
10 Greek @ 15.932975
11 N_Italian @ 15.967498
12 S_Italian_Sicilian @ 17.008593
13 Sicilian @ 18.629091
14 Morocco_Jews @ 19.132071
15 Balkans @ 19.736807
16 S_Italian @ 20.320072
17 North_Italian @ 20.494141
18 Sephardic_Jews @ 22.836365
19 Slovenian @ 24.740356
20 Hungarians @ 25.479189

Using 2 populations approximation:
1 50% S_Italian +50% Slovenian @ 3.627084


Using 3 populations approximation:
1 50% Greek +25% Sephardic_Jews +25% Swedish @ 1.814954


Using 4 populations approximation:
1 Ashkenazi + Greek + TSI + Slovenian @ 1.105684
2 Balkans + Cypriots + Mixed_Germanic + S_Italian_Sicilian @ 1.235552
3 Balkans + Cypriots + Mixed_Germanic + Sicilian @ 1.245883
4 British_Isles + Cypriots + Greek + Romanians_14 @ 1.251182
5 Ashkenazi + Greek + Slovenian + Tuscan @ 1.324580
6 British + Cypriots + Greek + Romanians_14 @ 1.345268
7 Ashkenazy_Jews + Greek + TSI + Slovenian @ 1.411731
8 Balkans + Cornwall + Cypriots + Greek @ 1.419128
9 Ashkenazi + Greek + Tuscan + Slovenian @ 1.435927
10 Cypriots + Romanians_14 + S_Italian + Swedish @ 1.439973
11 Ashkenazy_Jews + German + Greek + Greek @ 1.467781
12 Cypriots + Greek + Kent + Romanians_14 @ 1.482966
13 Cypriots + Greek + Irish + Romanians_14 @ 1.486190
14 Ashkenazy_Jews + Greek + Greek + N._European @ 1.487156
15 Cornwall + Cypriots + Greek + Romanians_14 @ 1.490749
16 Balkans + British + Cypriots + Greek @ 1.498196
17 Balkans + Cypriots + Greek + Kent @ 1.508069
18 Ashkenazi + German + Greek + Greek @ 1.527030
19 Cypriots + O_Italian + Romanians_14 + N._European @ 1.544040
20 C_Italian + Cypriots + Romanians_14 + Argyll @ 1.544883

Dunno about this calc, the single population are pretty much the same as other calcs but the mixed ones are strange, I mean whats with so much Slovenian :D

[Graham]

Hope that it's clear enough, that this Calculator is 4 years old & the Oracles are out of sink.

So your oracle lists are not completely correct.

It bugs me that these things were not fixed and kept up to confuse people on this forum, 4 years later.

[Damião de Góis]

Population
East_European 2.94%
West_European 38.33%
Mediterranean 42.86%
Neo_African 1.07%
West_Asian 5.73%
South_Asian 0.76%
Northeast_Asian -
Southeast_Asian -
East_African 0.94%
Southwest_Asian -
Northwest_African 7.26%
Palaeo_African 0.11%

Single Population Sharing:

# Population (source) Distance
1 Portuguese (Dodecad) 3.69
2 IBS (1000Genomes) 6.7
3 Spanish (Dodecad) 7.43
4 Spaniards (Behar) 7.91
5 N_Italian (Dodecad) 10.81
6 North_Italian (HGDP) 11.56
7 French_Basque (HGDP) 14.98
8 Sardinian (HGDP) 15.47
9 French (Dodecad) 15.66
10 French (HGDP) 16.21
11 Tuscan (Henn) 16.61
12 TSI (HapMap) 16.8
13 Tuscan (Xing) 17.11
14 Tuscan (HGDP) 17.44
15 O_Italian (Dodecad) 17.94
16 C_Italian (Dodecad) 22.86
17 CEU (HapMap) 23.22
18 Orcadian (HGDP) 25.01
19 N._European (Xing) 25.16
20 Orkney (1000 Genomes) 25.36

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 96.1% Portuguese (Dodecad) + 3.9% Georgians (Behar) @ 2.39
2 95.8% Portuguese (Dodecad) + 4.2% Adygei (HGDP) @ 2.43
3 94.7% Portuguese (Dodecad) + 5.3% Urkarah (Xing) @ 2.46
4 96.1% Portuguese (Dodecad) + 3.9% Lezgins (Behar) @ 2.55
5 94.5% Portuguese (Dodecad) + 5.5% Stalskoe (Xing) @ 2.71
6 96% Portuguese (Dodecad) + 4% Armenians_16 (Behar) @ 2.76
7 95.3% Portuguese (Dodecad) + 4.7% Turks (Behar) @ 2.77
8 92% Portuguese (Dodecad) + 8% Romanians_14 (Behar) @ 2.81
9 95% Portuguese (Dodecad) + 5% Turkish (Dodecad) @ 2.83
10 96% Portuguese (Dodecad) + 4% Iranian (Dodecad) @ 2.85
11 96.6% Portuguese (Dodecad) + 3.4% Kalash (HGDP) @ 2.87
12 96.1% Portuguese (Dodecad) + 3.9% Armenian (Dodecad) @ 2.89
13 93.1% Portuguese (Dodecad) + 6.9% Greek (Dodecad) @ 2.92
14 93% Portuguese (Dodecad) + 7% Balkans (Dodecad) @ 2.96
15 95.8% Portuguese (Dodecad) + 4.2% Kurd (Dodecad) @ 2.98
16 82.8% Portuguese (Dodecad) + 17.2% N_Italian (Dodecad) @ 2.98
17 95.9% Portuguese (Dodecad) + 4.1% Kurd (Xing) @ 3
18 88.8% Portuguese (Dodecad) + 11.2% Tuscan (Xing) @ 3.02
19 88.7% Portuguese (Dodecad) + 11.3% TSI (HapMap) @ 3.02
20 96.4% Portuguese (Dodecad) + 3.6% Makrani (HGDP) @ 3.02

[Graham]

Quite right. So, which Dodecad calculator would you trust?

None in regards to the Oracles, unless you were in the original runs. But K12b is interesting because it has Gedrosia, Which is linked to the ANE movement & was ahead of everyone on that. Credit due.

The only Oracles I currently trust on modern population matches are Eurogenes K13,K15. MDLP K23b I'm swaying towards being half decent.

MDLP K27 which is not on Gedmtach but ran on R, Is ok. (http://www.theapricity.com/forum/showthread.php?171868-MDLP-K27)

Nothing is perfect yet though.

[Graham]

K13 is the one that is giving Brits & Irish better readings on Oracle. But don't know on other nations on K15. Perhaps Baltic split into East Europe helps out in East.

[Alessio]

Hope that it's clear enough, that this Calculator is 4 years old & the Oracles are out of sink.

So your oracle lists are not completely correct.

It bugs me that these things were not fixed and kept up to confuse people on this forum, 4 years later.

Is Dienekes still in the calculator making game ?

[Graham]

Is Dienekes still in the calculator making game ?

No, but he's still in the game & hope he does tweak V3 a little bit or make a new calculator. Dienekes was pretty good on Gedrosia, South West Asia & Caucasus(West Asia). Ahead at the time.

[Alessio]

Admix Results (sorted):

# Population Percent
1 West_European 37.69
2 Mediterranean 31.69
3 West_Asian 17.68
4 East_European 6.42
5 Southwest_Asian 5.91


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

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

Least-squares method.

Using 1 population approximation:
1 TSI @ 9.646211
2 Tuscan @ 9.878476
3 Tuscan @ 9.968612
4 N_Italian @ 14.855867
5 O_Italian @ 16.340919
6 French @ 18.562029
7 French @ 19.285748
8 Slovenian @ 20.086893
9 North_Italian @ 20.245268
10 Tuscan @ 20.257513
11 Ashkenazy_Jews @ 20.282925
12 Portuguese @ 21.298624
13 CEU @ 21.345005
14 Ashkenazi @ 21.574879
15 N._European @ 22.020084
16 C_Italian @ 22.155567
17 Spaniards @ 23.053400
18 IBS @ 23.113667
19 Romanians_14 @ 23.146341
20 Argyll @ 23.278252

Using 2 populations approximation:
1 50% Mixed_Germanic +50% S_Italian_Sicilian @ 2.869815


Using 3 populations approximation:
1 50% CEU +25% Druze +25% N_Italian @ 2.020190


Using 4 populations approximation:
1 Cypriots + Mixed_Germanic + Orkney + TSI @ 0.834895
2 Cypriots + Mixed_Germanic + Orcadian + TSI @ 0.849897
3 Cypriots + Dutch + TSI + Argyll @ 0.877394
4 Cornwall + Cypriots + Greek + Norwegian @ 0.904801
5 Cypriots + Kent + TSI + Argyll @ 0.937096
6 Cypriots + Kent + Argyll + Tuscan @ 0.949567
7 Cypriots + Mixed_Germanic + TSI + Argyll @ 0.973202
8 Cornwall + Cypriots + German + TSI @ 0.983702
9 Cypriots + Mixed_Germanic + Orkney + Tuscan @ 1.025896
10 Cypriots + Mixed_Germanic + Orcadian + Tuscan @ 1.032590
11 Cypriots + Mixed_Germanic + Orkney + Tuscan @ 1.071651
12 British + Cypriots + Greek + Norwegian @ 1.072257
13 Cypriots + Dutch + Orcadian + TSI @ 1.075047
14 Cypriots + Mixed_Germanic + Orcadian + Tuscan @ 1.079463
15 Druze + German + Mixed_Germanic + North_Italian @ 1.085015
16 Cypriots + Dutch + Orkney + TSI @ 1.094734
17 C_Italian + Cypriots + Dutch + Swedish @ 1.112696
18 C_Italian + Cypriots + Kent + Swedish @ 1.113351
19 Cypriots + Kent + Argyll + Tuscan @ 1.114095
20 CEU + Druze + Mixed_Germanic + N_Italian @ 1.118500

Admix Results (sorted):

# Population Percent
1 West_European 37.69
2 Mediterranean 31.69
3 West_Asian 17.68
4 East_European 6.42
5 Southwest_Asian 5.91
6 East_African 0.29
7 Northeast_Asian 0.2
8 South_Asian 0.12

Single Population Sharing:

# Population (source) Distance
1 TSI (HapMap) 8.7
2 Tuscan (Henn) 8.91
3 Tuscan (Xing) 8.98
4 N_Italian (Dodecad) 13.45
5 O_Italian (Dodecad) 14.76
6 French (HGDP) 16.5
7 French (Dodecad) 17.1
8 Ashkenazy_Jews (Behar) 18.14
9 Slovenian (Xing) 18.14
10 Tuscan (HGDP) 18.34
11 North_Italian (HGDP) 18.34
12 Portuguese (Dodecad) 18.97
13 CEU (HapMap) 19.04
14 Ashkenazi (Dodecad) 19.3
15 N._European (Xing) 19.68
16 C_Italian (Dodecad) 19.95
17 Spaniards (Behar) 20.63
18 IBS (1000Genomes) 20.68
19 Argyll (1000 Genomes) 20.81
20 Romanians_14 (Behar) 20.89

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 79.6% TSI (HapMap) + 20.4% Swedish (Dodecad) @ 1.87
2 54.7% S_Italian (Dodecad) + 45.3% Norwegian (Dodecad) @ 1.87
3 54.1% S_Italian (Dodecad) + 45.9% Swedish (Dodecad) @ 2.1
4 57.9% S_Italian_Sicilian (Dodecad) + 42.1% Norwegian (Dodecad) @ 2.13
5 79.1% Tuscan (Xing) + 20.9% Swedish (Dodecad) @ 2.15
6 64.7% Orcadian (HGDP) + 35.3% Cypriots (Behar) @ 2.15
7 64.3% Orkney (1000 Genomes) + 35.7% Cypriots (Behar) @ 2.15
8 57.3% S_Italian_Sicilian (Dodecad) + 42.7% Swedish (Dodecad) @ 2.21
9 79.6% Tuscan (Xing) + 20.4% Norwegian (Dodecad) @ 2.33
10 70% TSI (HapMap) + 30% N._European (Xing) @ 2.34
11 72.8% Tuscan (Xing) + 27.2% Mixed_Germanic (Dodecad) @ 2.38
12 80.2% TSI (HapMap) + 19.8% Norwegian (Dodecad) @ 2.38
13 71.3% TSI (HapMap) + 28.7% Argyll (1000 Genomes) @ 2.51
14 61.1% Dutch (Dodecad) + 38.9% Cypriots (Behar) @ 2.51
15 51.5% Mixed_Germanic (Dodecad) + 48.5% S_Italian_Sicilian (Dodecad) @ 2.52
16 67.1% CEU (HapMap) + 32.9% Cypriots (Behar) @ 2.54
17 69.4% Tuscan (Xing) + 30.6% N._European (Xing) @ 2.57
18 70.6% Tuscan (Xing) + 29.4% Argyll (1000 Genomes) @ 2.6
19 67.1% French (Dodecad) + 32.9% Turkish (Dodecad) @ 2.69
20 65.1% Argyll (1000 Genomes) + 34.9% Cypriots (Behar) @ 2.72

This seems fairly correct

[Alessio]

No, but he's still in the game & hope he does tweak V3 a little bit or make a new calculator. Dienekes was pretty good on Gedrosia, South West Asia & Caucasus(West Asia). Ahead at the time.

His blog was being perceived as being the most informative blog out there on population genetics and anthropology; hopefully he will make some new ''killer calculator'' in the near future !

[firemonkey]

FTDNA

Dodecad v3:

1 West_European 54.36
2 Mediterranean 24.91
3 East_European 11.97
4 West_Asian 6.37
5 South_Asian 1.63
6 Northwest_African 0.58
7 Northeast_Asian 0.13
8 Southeast_Asian 0.03
9 East_African 0.03

Using 1 population approximation:
1 Orcadian @ 2.199
2 CEU @ 2.222
3 Orkney @ 2.396
4 Argyll @ 2.596
5 N._European @ 3.857
6 German @ 6.406
7 Mixed_Germanic @ 9.669
8 Dutch @ 10.377
9 French @ 12.510
10 Kent @ 12.560
227 iterations.



Using 2 populations approximation:
1 50% CEU +50% Orkney @ 1.775
2 50% CEU +50% Orcadian @ 1.815
3 50% CEU +50% Argyll @ 1.916
4 50% Orcadian +50% Orcadian @ 2.199
5 50% CEU +50% CEU @ 2.222
6 50% Orcadian +50% Argyll @ 2.223
7 50% Orcadian +50% Orkney @ 2.280
8 50% Orkney +50% Argyll @ 2.326
9 50% Orkney +50% Orkney @ 2.396
10 50% Orcadian +50% N._European @ 2.571
25878 iterations.



Using 3 populations approximation:
1 50% CEU +25% Orkney +25% Orkney @ 1.775
2 50% Orkney +25% CEU +25% CEU @ 1.775
3 50% CEU +25% Orcadian +25% Orkney @ 1.789
4 50% CEU +25% Orkney +25% Argyll @ 1.790
5 50% Orcadian +25% CEU +25% German @ 1.791
6 50% Orkney +25% CEU +25% German @ 1.799
7 50% CEU +25% Orcadian +25% Argyll @ 1.809
8 50% CEU +25% Orcadian +25% Orcadian @ 1.815
9 50% Orcadian +25% CEU +25% CEU @ 1.815
10 50% CEU +25% CEU +25% Orkney @ 1.870
413312 iterations.



Using 4 populations approximation:
1 CEU + CEU + Orkney + Orkney @ 1.775
2 CEU + CEU + Orcadian + Orkney @ 1.789
3 CEU + German + Orcadian + Orkney @ 1.789
4 CEU + CEU + Orkney + Argyll @ 1.790
5 CEU + German + Orcadian + Orcadian @ 1.791
6 CEU + German + Orkney + Orkney @ 1.799
7 CEU + CEU + Orcadian + Argyll @ 1.809
8 CEU + CEU + Orcadian + Orcadian @ 1.815
9 CEU + CEU + CEU + Orkney @ 1.870
10 CEU + CEU + German + Orkney @ 1.879
11 German + Orcadian + Orcadian + Orcadian @ 1.883
12 CEU + Orcadian + Orcadian + Argyll @ 1.891
13 CEU + Orcadian + Orkney + Argyll @ 1.907
14 German + Orcadian + Orcadian + Orkney @ 1.914
15 CEU + CEU + German + Orcadian @ 1.915
16 CEU + Orcadian + Orcadian + Orcadian @ 1.915
17 CEU + CEU + Argyll + Argyll @ 1.916
18 CEU + Orcadian + Orcadian + Orkney @ 1.923
19 CEU + CEU + CEU + Orcadian @ 1.928
20 CEU + Orkney + Orkney + Argyll @ 1.934


23andme


1 West_European 54.14
2 Mediterranean 24.57
3 East_European 12.3
4 West_Asian 6.34
5 South_Asian 1.17
6 Northwest_African 0.75
7 East_African 0.36
8 Northeast_Asian 0.21
9 Palaeo_African 0.09
10 Southeast_Asian 0.07


Least-squares method.

Using 1 population approximation:
1 CEU @ 2.254731
2 Argyll @ 2.603151
3 Orcadian @ 2.702274
4 Orkney @ 2.871514
5 N._European @ 3.516806
6 German @ 5.752908
7 Mixed_Germanic @ 10.029557
8 Dutch @ 10.925960
9 French @ 12.890811
10 French @ 12.986576
11 Kent @ 13.124496
12 British_Isles @ 14.798017
13 British @ 15.117420
14 Cornwall @ 15.919745
15 Swedish @ 16.514938
16 Norwegian @ 17.728075
17 Slovenian @ 17.953983
18 Irish @ 17.985485
19 Hungarians @ 22.346720
20 French_Basque @ 24.719515

Using 2 populations approximation:
1 50% CEU +50% Argyll @ 1.956479


Using 3 populations approximation:
1 50% CEU +25% German +25% Orkney @ 1.508807


Using 4 populations approximation:
1 CEU + CEU + German + Orkney @ 1.508807
2 CEU + CEU + German + Orcadian @ 1.556911
3 CEU + German + Orcadian + Orkney @ 1.573588
4 CEU + German + Orcadian + Orcadian @ 1.578999
5 CEU + German + Orkney + Orkney @ 1.590560
6 British + Hungarians + Orkney + Orkney @ 1.593146
7 British + Hungarians + Orcadian + Orkney @ 1.630573
8 Cornwall + Hungarians + Orkney + Orkney @ 1.638386
9 British_Isles + Hungarians + Orkney + Orkney @ 1.643573
10 CEU + CEU + German + Argyll @ 1.673068
11 Cornwall + Hungarians + Orcadian + Orkney @ 1.690567
12 CEU + German + Orcadian + Argyll @ 1.693032
13 CEU + German + Orkney + Argyll @ 1.699893
14 British + Hungarians + Orcadian + Orcadian @ 1.702272
15 British_Isles + Hungarians + Orcadian + Orkney @ 1.706513
16 CEU + CEU + CEU + German @ 1.747320
17 British_Isles + Hungarians + Orcadian + Orcadian @ 1.749070
18 Cornwall + Hungarians + Orcadian + Orcadian @ 1.759408
19 CEU + Hungarians + Irish + Orkney @ 1.773290
20 Hungarians + Irish + Orcadian + Orcadian @ 1.781111

[Neon Knight]

Well, I think this is the most consistent set of results I've seen so far.

[poiuytrewq0987]

<tbody>
#
Population
Percent


1
Mediterranean
35.71


2
East_European
30.53


3
West_European
17.65


4
West_Asian
12.50


5
Southwest_Asian
1.81


6
Northeast_Asian
1.49

</tbody>


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

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

Least-squares method.

Using 1 population approximation:
1 Balkans @ 9.003244
2 Romanians_14 @ 9.782205
3 Hungarians @ 22.722092
4 Greek @ 24.599932
5 Slovenian @ 26.766201
6 Mixed_Slav @ 29.595383
7 Tuscan @ 29.692465
8 O_Italian @ 30.143867
9 Polish @ 30.260689
10 Tuscan @ 30.272358
11 C_Italian @ 30.280094
12 Ashkenazy_Jews @ 30.311787
13 N_Italian @ 30.877438
14 TSI @ 30.917290
15 Tuscan @ 31.018932
16 Sicilian @ 31.362553
17 Ashkenazi @ 31.561386
18 S_Italian_Sicilian @ 32.483757
19 S_Italian @ 33.773247
20 North_Italian @ 33.907696

Using 2 populations approximation:
1 50% Belorussian +50% S_Italian @ 6.828276


Using 3 populations approximation:
1 50% Belorussian +25% S_Italian +25% Sicilian @ 6.808814


Using 4 populations approximation:
1 Balkans + Belorussian + Greek + Greek @ 6.577053
2 Belorussian + Belorussian + S_Italian + Sicilian @ 6.808814
3 Belorussian + Belorussian + S_Italian + S_Italian @ 6.828276
4 Belorussian + Greek + Romanians_14 + Romanians_14 @ 6.857303
5 Belorussian + Belorussian + Sicilian + Sicilian @ 6.913524
6 Belorussian + Belorussian + Greek + S_Italian @ 7.092023
7 Balkans + Belorussian + Greek + Romanians_14 @ 7.118814
8 Balkans + Belorussian + Romanians_14 + Sicilian @ 7.154273
9 Belorussian + Belorussian + Greek + Sicilian @ 7.201889
10 Belorussian + Romanians_14 + Romanians_14 + Sicilian @ 7.215333
11 Balkans + Belorussian + Romanians_14 + S_Italian @ 7.279765
12 Balkans + Greek + Greek + Lithuanian @ 7.283914
13 Balkans + Greek + Greek + Lithuanians @ 7.325637
14 Balkans + Balkans + Belorussian + S_Italian @ 7.430201
15 Belorussian + Greek + Greek + Romanians_14 @ 7.462210
16 Balkans + Balkans + Belorussian + Sicilian @ 7.464777
17 Belorussian + Romanians_14 + Romanians_14 + S_Italian @ 7.497361
18 Belorussian + Greek + Polish + Sicilian @ 7.559793
19 Balkans + Belorussian + Greek + Sicilian @ 7.562089
20 Greek + Greek + Lithuanian + Romanians_14 @ 7.579189

[poiuytrewq0987]

Oracle mixed mode:

Mixed Mode Population Sharing:


<tbody>
#

Primary Population (source)
Secondary Population (source)
Distance


1

59.9%
Greek (Dodecad)
+
40.1%
Belorussian (Behar)
@
5.27


2

53.5%
Sicilian (Dodecad)
+
46.5%
Belorussian (Behar)
@
5.97


3

51.7%
S_Italian (Dodecad)
+
48.3%
Belorussian (Behar)
@
6.16


4

65.7%
Greek (Dodecad)
+
34.3%
Lithuanians (Behar)
@
6.71


5

66.8%
Greek (Dodecad)
+
33.2%
Lithuanian (Dodecad)
@
6.75


6

86.9%
Romanians_14 (Behar)
+
13.1%
Belorussian (Behar)
@
7.42


7

52.7%
S_Italian_Sicilian (Dodecad)
+
47.3%
Belorussian (Behar)
@
7.49


8

86.8%
Balkans (Dodecad)
+
13.2%
Greek (Dodecad)
@
7.51


9

55.8%
Greek (Dodecad)
+
44.2%
Polish (Dodecad)
@
7.55


10

60.7%
Sicilian (Dodecad)
+
39.3%
Lithuanian (Dodecad)
@
7.56


11

92.7%
Balkans (Dodecad)
+
7.3%
Cypriots (Behar)
@
7.61


12

59.5%
Sicilian (Dodecad)
+
40.5%
Lithuanians (Behar)
@
7.67


13

55.3%
Greek (Dodecad)
+
44.7%
Mixed_Slav (Dodecad)
@
7.77


14

91.7%
Balkans (Dodecad)
+
8.3%
Sicilian (Dodecad)
@
7.77


15

92.8%
Balkans (Dodecad)
+
7.2%
Sephardic_Jews (Behar)
@
7.78


16

92.7%
Balkans (Dodecad)
+
7.3%
S_Italian (Dodecad)
@
7.81


17

91.4%
Romanians_14 (Behar)
+
8.6%
Lithuanian (Dodecad)
@
7.89


18

59.8%
Greek (Dodecad)
+
40.2%
Russian (Dodecad)
@
7.9


19

66.3%
Balkans (Dodecad)
+
33.7%
Romanians_14 (Behar)
@
7.9


20

91.3%
Romanians_14 (Behar)
+
8.7%
Lithuanians (Behar)
@
7.95


</tbody>

[Thrax]

# Population Percent
1 Mediterranean 32
2 West_Asian 25.99
3 West_European 22.98
4 East_European 10.87
5 Southwest_Asian 7.12
6 Northwest_African 0.45
7 Southeast_Asian 0.25
8 South_Asian 0.17
9 East_African 0.17

# Population (source) Distance
1 Ashkenazy_Jews (Behar) 8.4
2 Ashkenazi (Dodecad) 9.63
3 Tuscan (Xing) 11.32
4 TSI (HapMap) 12.22
5 Tuscan (Henn) 12.46
6 O_Italian (Dodecad) 13.51
7 Greek (Dodecad) 14
8 C_Italian (Dodecad) 14.06
9 Romanians_14 (Behar) 14.84
10 S_Italian_Sicilian (Dodecad) 15.67
11 Morocco_Jews (Behar) 16.09
12 Sicilian (Dodecad) 17.56
13 Tuscan (HGDP) 17.85
14 S_Italian (Dodecad) 18.21
15 N_Italian (Dodecad) 19.78
16 Balkans (Dodecad) 19.83
17 Sephardic_Jews (Behar) 20.22
18 Turkish (Dodecad) 20.65
19 Stalskoe (Xing) 20.89
20 Uzbekistan_Jews (Behar) 23.29

# Primary Population (source) Secondary Population (source) Distance
1 57.1% Cypriots (Behar) + 42.9% German (Dodecad) @ 4.34
2 50.6% Slovenian (Xing) + 49.4% Cypriots (Behar) @ 4.65
3 68.1% Ashkenazy_Jews (Behar) + 31.9% Romanians_14 (Behar) @ 5.32
4 57.9% Cypriots (Behar) + 42.1% Argyll (1000 Genomes) @ 5.36
5 64.9% Cypriots (Behar) + 35.1% Swedish (Dodecad) @ 5.43
6 63.6% Ashkenazi (Dodecad) + 36.4% Romanians_14 (Behar) @ 5.49
7 65.2% Cypriots (Behar) + 34.8% FIN (1000Genomes) @ 5.5
8 75% Ashkenazy_Jews (Behar) + 25% Balkans (Dodecad) @ 5.51
9 70.8% Ashkenazi (Dodecad) + 29.2% Balkans (Dodecad) @ 5.6
10 52.1% Slovenian (Xing) + 47.9% Druze (HGDP) @ 5.63
11 57.1% Cypriots (Behar) + 42.9% N._European (Xing) @ 5.72
12 76.5% Ashkenazi (Dodecad) + 23.5% Hungarians (Behar) @ 5.82
13 83.7% Ashkenazi (Dodecad) + 16.3% Mixed_Slav (Dodecad) @ 5.83
14 80.7% Ashkenazy_Jews (Behar) + 19.3% Hungarians (Behar) @ 5.9
15 58.4% Cypriots (Behar) + 41.6% Orcadian (HGDP) @ 5.9
16 84.1% Ashkenazi (Dodecad) + 15.9% Polish (Dodecad) @ 5.9
17 58.6% Cypriots (Behar) + 41.4% Orkney (1000 Genomes) @ 5.91
18 71.6% Tuscan (Xing) + 28.4% Turks (Behar) @ 5.92
19 67.2% Tuscan (Xing) + 32.8% Turkish (Dodecad) @ 5.92
20 56.8% Cypriots (Behar) + 43.2% CEU (HapMap) @ 5.95# Primary Population (source) Secondary Population (source) Distance
1 57.1% Cypriots (Behar) + 42.9% German (Dodecad) @ 4.34
2 50.6% Slovenian (Xing) + 49.4% Cypriots (Behar) @ 4.65
3 68.1% Ashkenazy_Jews (Behar) + 31.9% Romanians_14 (Behar) @ 5.32
4 57.9% Cypriots (Behar) + 42.1% Argyll (1000 Genomes) @ 5.36
5 64.9% Cypriots (Behar) + 35.1% Swedish (Dodecad) @ 5.43
6 63.6% Ashkenazi (Dodecad) + 36.4% Romanians_14 (Behar) @ 5.49
7 65.2% Cypriots (Behar) + 34.8% FIN (1000Genomes) @ 5.5
8 75% Ashkenazy_Jews (Behar) + 25% Balkans (Dodecad) @ 5.51
9 70.8% Ashkenazi (Dodecad) + 29.2% Balkans (Dodecad) @ 5.6
10 52.1% Slovenian (Xing) + 47.9% Druze (HGDP) @ 5.63
11 57.1% Cypriots (Behar) + 42.9% N._European (Xing) @ 5.72
12 76.5% Ashkenazi (Dodecad) + 23.5% Hungarians (Behar) @ 5.82
13 83.7% Ashkenazi (Dodecad) + 16.3% Mixed_Slav (Dodecad) @ 5.83
14 80.7% Ashkenazy_Jews (Behar) + 19.3% Hungarians (Behar) @ 5.9
15 58.4% Cypriots (Behar) + 41.6% Orcadian (HGDP) @ 5.9
16 84.1% Ashkenazi (Dodecad) + 15.9% Polish (Dodecad) @ 5.9
17 58.6% Cypriots (Behar) + 41.4% Orkney (1000 Genomes) @ 5.91
18 71.6% Tuscan (Xing) + 28.4% Turks (Behar) @ 5.92
19 67.2% Tuscan (Xing) + 32.8% Turkish (Dodecad) @ 5.92
20 56.8% Cypriots (Behar) + 43.2% CEU (HapMap) @ 5.95

[Highlands]

Admix Results (sorted):

# Population Percent
1 Mediterranean 36.02
2 West_European 23
3 West_Asian 21.35
4 East_European 11.64
5 Southwest_Asian 7.03
6 Northwest_African 0.68
7 Southeast_Asian 0.28

Single Population Sharing:

# Population (source) Distance
1 Tuscan (Xing) 9.05
2 Ashkenazy_Jews (Behar) 9.29
3 Tuscan (Henn) 9.95
4 O_Italian (Dodecad) 10.09
5 TSI (HapMap) 10.13
6 Ashkenazi (Dodecad) 10.3
7 C_Italian (Dodecad) 10.95
8 Greek (Dodecad) 11.89
9 Romanians_14 (Behar) 12.49
10 S_Italian_Sicilian (Dodecad) 13.8
11 Tuscan (HGDP) 13.83
12 Sicilian (Dodecad) 15.09
13 N_Italian (Dodecad) 15.81
14 Morocco_Jews (Behar) 16.29
15 S_Italian (Dodecad) 16.55
16 Balkans (Dodecad) 17.75
17 Sephardic_Jews (Behar) 18.82
18 North_Italian (HGDP) 19.52
19 Slovenian (Xing) 23.98
20 Hungarians (Behar) 24.23

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 59.3% S_Italian (Dodecad) + 40.7% Slovenian (Xing) @ 2.6
2 80% Greek (Dodecad) + 20% Swedish (Dodecad) @ 2.69
3 75.4% S_Italian (Dodecad) + 24.6% Finnish (Dodecad) @ 2.82
4 80.5% Greek (Dodecad) + 19.5% Norwegian (Dodecad) @ 2.91
5 63.8% S_Italian_Sicilian (Dodecad) + 36.2% Slovenian (Xing) @ 2.93
6 78.7% S_Italian_Sicilian (Dodecad) + 21.3% Finnish (Dodecad) @ 2.93
7 64.1% S_Italian_Sicilian (Dodecad) + 35.9% Hungarians (Behar) @ 3
8 74.2% S_Italian (Dodecad) + 25.8% FIN (1000Genomes) @ 3.12
9 74.1% Greek (Dodecad) + 25.9% N._European (Xing) @ 3.17
10 55.3% Ashkenazi (Dodecad) + 44.7% Romanians_14 (Behar) @ 3.46
11 59.7% S_Italian (Dodecad) + 40.3% Hungarians (Behar) @ 3.48
12 74.2% Greek (Dodecad) + 25.8% German (Dodecad) @ 3.49
13 82.2% C_Italian (Dodecad) + 17.8% Russian (HGDP) @ 3.51
14 76.8% Greek (Dodecad) + 23.2% Mixed_Germanic (Dodecad) @ 3.6
15 74.9% Greek (Dodecad) + 25.1% Argyll (1000 Genomes) @ 3.65
16 58.4% Ashkenazy_Jews (Behar) + 41.6% Romanians_14 (Behar) @ 3.8
17 77.8% S_Italian_Sicilian (Dodecad) + 22.2% FIN (1000Genomes) @ 3.82
18 61.9% Sicilian (Dodecad) + 38.1% Slovenian (Xing) @ 3.83
19 75.4% Greek (Dodecad) + 24.6% Orkney (1000 Genomes) @ 3.83
20 74% Greek (Dodecad) + 26% CEU (HapMap) @ 3.85

[Mortimer]

Admix Results (sorted):

# Population Percent
1 Mediterranean 23.88
2 West_European 21.24
3 West_Asian 17.38
4 East_European 13.94
5 South_Asian 12.28
6 Southwest_Asian 6.53
7 Southeast_Asian 2.82

Using 1 population approximation:
1 Romanians_14 @ 18.318556
2 Ashkenazy_Jews @ 19.814116
3 Balkans @ 21.276314
4 Ashkenazi @ 21.539703
5 Tuscan @ 21.683718
6 Tuscan @ 22.703852
7 TSI @ 23.197826
8 O_Italian @ 25.173515
9 Slovenian @ 25.362617
10 Hungarians @ 25.677006
11 Stalskoe @ 25.916351
12 Morocco_Jews @ 25.951786
13 Greek @ 26.022352
14 C_Italian @ 26.704103
15 S_Italian_Sicilian @ 28.227383
16 N_Italian @ 29.035723
17 Tuscan @ 29.098083
18 Sicilian @ 29.279541
19 Uzbekistan_Jews @ 30.165428
20 Sephardic_Jews @ 30.719116

Using 2 populations approximation:
1 50% Hungarians +50% Makrani @ 9.334679


Using 3 populations approximation:
1 50% Ashkenazi +25% Polish +25% Vaish @ 2.489078


Using 4 populations approximation:
1 Georgia_Jews + Mixed_Slav + Spanish + Kashmiri_Pandit @ 1.440087
2 Georgia_Jews + IBS + Mixed_Slav + Kashmiri_Pandit @ 1.469919
3 Iranian_Jews + Mixed_Slav + Spanish + Kashmiri_Pandit @ 1.527790
4 IBS + Iranian_Jews + Polish + Kashmiri_Pandit @ 1.620353
5 Iranian_Jews + Polish + Spanish + Kashmiri_Pandit @ 1.638480
6 Georgia_Jews + IBS + Polish + Kashmiri_Pandit @ 1.642438
7 Georgia_Jews + Mixed_Slav + Spaniards + Kashmiri_Pandit @ 1.651319
8 Iraq_Jews + Mixed_Slav + Spanish + Kashmiri_Pandit @ 1.664616
9 IBS + Iranian_Jews + Mixed_Slav + Kashmiri_Pandit @ 1.664859
10 Iranian_Jews + Mixed_Slav + Spaniards + Kashmiri_Pandit @ 1.685735
11 Iraq_Jews + Polish + Portuguese + Kashmiri_Pandit @ 1.699658
12 Iraq_Jews + Polish + Spanish + Kashmiri_Pandit @ 1.738404
13 Iranian_Jews + Polish + Portuguese + Kashmiri_Pandit @ 1.764214
14 Georgia_Jews + Polish + Spanish + Kashmiri_Pandit @ 1.769117
15 IBS + Iraq_Jews + Polish + Kashmiri_Pandit @ 1.776000
16 Iranian_Jews + Polish + Spaniards + Kashmiri_Pandit @ 1.779133
17 Iraq_Jews + Mixed_Slav + Spaniards + Kashmiri_Pandit @ 1.783691
18 Burusho + IBS + Iranian_Jews + Polish @ 1.799028
19 Burusho + Iranian_Jews + Mixed_Slav + Spanish @ 1.823270
20 IBS + Iraq_Jews + Mixed_Slav + Kashmiri_Pandit @ 1.830294

edit: two modus oracle
Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 66.4% Romanians_14 (Behar) + 33.6% Pathan (HGDP) @ 6.17
2 67.8% Romanians_14 (Behar) + 32.2% Bnei_Menashe_Jews (Behar) @ 6.24
3 68.9% Romanians_14 (Behar) + 31.1% Burusho (HGDP) @ 6.35
4 70.5% Romanians_14 (Behar) + 29.5% Sindhi (HGDP) @ 6.49
5 69.9% Romanians_14 (Behar) + 30.1% Pakistani (Xing) @ 6.56
6 64.2% Balkans (Dodecad) + 35.8% Bnei_Menashe_Jews (Behar) @ 6.67
7 73.3% Romanians_14 (Behar) + 26.7% Cochin_Jews (Behar) @ 6.69
8 74.5% Romanians_14 (Behar) + 25.5% Meghawal (Reich) @ 6.93
9 69.6% Romanians_14 (Behar) + 30.4% Kashmiri_Pandit (Reich) @ 6.94
10 73.3% Romanians_14 (Behar) + 26.7% Vaish (Reich) @ 7.02
11 67.1% Romanians_14 (Behar) + 32.9% Balochi (HGDP) @ 7.15
12 75.9% Romanians_14 (Behar) + 24.1% AP_Brahmin (Xing) @ 7.24
13 67.6% Romanians_14 (Behar) + 32.4% Brahui (HGDP) @ 7.26
14 63.2% Balkans (Dodecad) + 36.8% Balochi (HGDP) @ 7.27
15 63.6% Balkans (Dodecad) + 36.4% Brahui (HGDP) @ 7.29
16 75.8% Romanians_14 (Behar) + 24.2% TN_Brahmin (Xing) @ 7.36
17 59.7% Hungarians (Behar) + 40.3% Bnei_Menashe_Jews (Behar) @ 7.39
18 58.2% Hungarians (Behar) + 41.8% Makrani (HGDP) @ 7.52
19 60.1% Slovenian (Xing) + 39.9% Bnei_Menashe_Jews (Behar) @ 7.56
20 63.1% Balkans (Dodecad) + 36.9% Pathan (HGDP)

[Eleonore]

# Population Percent
1 West_European 48.51
2 Mediterranean 26.03
3 East_European 14.23
4 West_Asian 9.13
5 Northeast_Asian 0.86
6 Southwest_Asian 0.69
7 Northwest_African 0.56


Using 1 population approximation:
1 CEU @ 6.516209
2 German @ 6.955733
3 N._European @ 7.737276
4 Argyll @ 8.101078
5 Orcadian @ 8.681027
6 Orkney @ 9.094060
7 Slovenian @ 12.226835
8 French @ 13.651615
9 French @ 13.695391
10 Mixed_Germanic @ 14.976444
11 Dutch @ 16.496809
12 Hungarians @ 16.800240
13 Kent @ 18.836283
14 British_Isles @ 20.767460
15 British @ 20.986263
16 Cornwall @ 21.628948
17 Swedish @ 22.094446
18 Norwegian @ 23.823612
19 Irish @ 23.988302
20 Portuguese @ 25.300209

Using 2 populations approximation:
1 50% Balkans +50% Irish @ 2.660716


Using 3 populations approximation:
1 50% Orkney +25% Orkney +25% Romanians_14 @ 1.295948


Using 4 populations approximation:
1 Balkans + CEU + Mixed_Germanic + Orcadian @ 0.969785
2 Balkans + CEU + Mixed_Germanic + Orkney @ 1.008521
3 Balkans + CEU + CEU + Mixed_Germanic @ 1.037601
4 Balkans + CEU + Mixed_Germanic + Argyll @ 1.052403
5 Balkans + CEU + Dutch + Argyll @ 1.155509
6 Cornwall + Mixed_Germanic + Mixed_Slav + N_Italian @ 1.234821
7 German + Kent + Orcadian + Romanians_14 @ 1.235405
8 Balkans + Mixed_Germanic + Orcadian + Orcadian @ 1.252724
9 Dutch + German + Orkney + Romanians_14 @ 1.258104
10 Dutch + German + Orcadian + Romanians_14 @ 1.265702
11 Balkans + Cornwall + Cornwall + Hungarians @ 1.278372
12 Irish + Mixed_Germanic + Mixed_Slav + N_Italian @ 1.279172
13 German + Kent + Orkney + Romanians_14 @ 1.283620
14 German + Kent + Romanians_14 + Argyll @ 1.284037
15 Balkans + Mixed_Germanic + Orcadian + Argyll @ 1.290852
16 Orkney + Orkney + Orkney + Romanians_14 @ 1.295948
17 Balkans + CEU + CEU + Dutch @ 1.303734
18 CEU + German + Kent + Romanians_14 @ 1.304666
19 Orkney + Orkney + Romanians_14 + Argyll @ 1.334721
20 British_Isles + CEU + German + Romanians_14 @ 1.337312

[Neon Knight]

# Population Percent
1 Mediterranean 32
2 West_Asian 25.99
3 West_European 22.98
4 East_European 10.87
5 Southwest_Asian 7.12
6 Northwest_African 0.45
7 Southeast_Asian 0.25
8 South_Asian 0.17
9 East_African 0.17

# Population (source) Distance
1 Ashkenazy_Jews (Behar) 8.4
2 Ashkenazi (Dodecad) 9.63
3 Tuscan (Xing) 11.32
4 TSI (HapMap) 12.22
5 Tuscan (Henn) 12.46
6 O_Italian (Dodecad) 13.51
7 Greek (Dodecad) 14
8 C_Italian (Dodecad) 14.06
9 Romanians_14 (Behar) 14.84
10 S_Italian_Sicilian (Dodecad) 15.67
11 Morocco_Jews (Behar) 16.09
12 Sicilian (Dodecad) 17.56
13 Tuscan (HGDP) 17.85
14 S_Italian (Dodecad) 18.21
15 N_Italian (Dodecad) 19.78
16 Balkans (Dodecad) 19.83
17 Sephardic_Jews (Behar) 20.22
18 Turkish (Dodecad) 20.65
19 Stalskoe (Xing) 20.89
20 Uzbekistan_Jews (Behar) 23.29

What do you think of those results? Do any other calculators give you more accurate matches?

[Neon Knight]

Admix Results (sorted):

# Population Percent
1 Mediterranean 36.02
2 West_European 23
3 West_Asian 21.35
4 East_European 11.64
5 Southwest_Asian 7.03
6 Northwest_African 0.68
7 Southeast_Asian 0.28

Single Population Sharing:

# Population (source) Distance
1 Tuscan (Xing) 9.05
2 Ashkenazy_Jews (Behar) 9.29
3 Tuscan (Henn) 9.95
4 O_Italian (Dodecad) 10.09
5 TSI (HapMap) 10.13
6 Ashkenazi (Dodecad) 10.3
7 C_Italian (Dodecad) 10.95
8 Greek (Dodecad) 11.89
9 Romanians_14 (Behar) 12.49
10 S_Italian_Sicilian (Dodecad) 13.8
11 Tuscan (HGDP) 13.83
12 Sicilian (Dodecad) 15.09
13 N_Italian (Dodecad) 15.81
14 Morocco_Jews (Behar) 16.29
15 S_Italian (Dodecad) 16.55
16 Balkans (Dodecad) 17.75
17 Sephardic_Jews (Behar) 18.82
18 North_Italian (HGDP) 19.52
19 Slovenian (Xing) 23.98
20 Hungarians (Behar) 24.23

Same question to you :)

[Thrax]

What do you think of those results? Do any other calculators give you more accurate matches?

From the ones found in gedmatch, I think Dodecad K12b, Eurogenes K13, MDLP World and MDLP K23b are more accurate.

[Highlands]

Same question to you :)

Yes I think it's accurate. All other calculators show Tuscan but with elevated Baltic & West Asian.

[Geni]

dmix Results (sorted):

# Population Percent
1 Mediterranean 34.07
2 West_European 24.83
3 West_Asian 21.46
4 East_European 10.8
5 Southwest_Asian 7.39
6 Southeast_Asian 0.71
7 Northwest_African 0.43
8 Northeast_Asian 0.16
9 East_African 0.15

Single Population Sharing:

# Population (source) Distance
1 Tuscan (Xing) 7.92
2 Tuscan (Henn) 8.89
3 Ashkenazy_Jews (Behar) 8.93
4 TSI (HapMap) 9.04
5 Ashkenazi (Dodecad) 10.2
6 O_Italian (Dodecad) 10.53
7 C_Italian (Dodecad) 12.32
8 Romanians_14 (Behar) 13.23
9 Greek (Dodecad) 14.24
10 Tuscan (HGDP) 14.8
11 S_Italian_Sicilian (Dodecad) 15.33
12 N_Italian (Dodecad) 15.81
13 Morocco_Jews (Behar) 16.69
14 Sicilian (Dodecad) 16.97
15 Balkans (Dodecad) 18.1
16 S_Italian (Dodecad) 18.29
17 North_Italian (HGDP) 19.92
18 Sephardic_Jews (Behar) 20.3
19 Slovenian (Xing) 22.62
20 Hungarians (Behar) 23.34

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 53.1% Cypriots (Behar) + 46.9% German (Dodecad) @ 2.26
2 60% S_Italian_Sicilian (Dodecad) + 40% Slovenian (Xing) @ 3.44
3 76.5% S_Italian_Sicilian (Dodecad) + 23.5% Finnish (Dodecad) @ 3.45
4 70.7% Ashkenazi (Dodecad) + 29.3% Hungarians (Behar) @ 3.52
5 71.5% S_Italian (Dodecad) + 28.5% FIN (1000Genomes) @ 3.68
6 75.1% S_Italian_Sicilian (Dodecad) + 24.9% FIN (1000Genomes) @ 3.68
7 55.5% S_Italian (Dodecad) + 44.5% Slovenian (Xing) @ 3.82
8 76.3% Greek (Dodecad) + 23.7% Swedish (Dodecad) @ 3.85
9 52.6% Cypriots (Behar) + 47.4% CEU (HapMap) @ 3.94
10 54% Cypriots (Behar) + 46% Argyll (1000 Genomes) @ 3.95
11 55% Slovenian (Xing) + 45% Cypriots (Behar) @ 3.98
12 76.9% Greek (Dodecad) + 23.1% Norwegian (Dodecad) @ 3.99
13 74.3% Ashkenazy_Jews (Behar) + 25.7% Hungarians (Behar) @ 4.03
14 70.4% Ashkenazi (Dodecad) + 29.6% Slovenian (Xing) @ 4.07
15 54.3% Cypriots (Behar) + 45.7% Orcadian (HGDP) @ 4.13
16 73.1% S_Italian (Dodecad) + 26.9% Finnish (Dodecad) @ 4.16
17 54.6% Cypriots (Behar) + 45.4% Orkney (1000 Genomes) @ 4.2
18 65.5% Ashkenazi (Dodecad) + 34.5% Balkans (Dodecad) @ 4.27
19 61.5% Ashkenazy_Jews (Behar) + 38.5% Romanians_14 (Behar) @ 4.27
20 69.2% Ashkenazy_Jews (Behar) + 30.8% Balkans (Dodecad)

[Thrax]

dmix Results (sorted):

# Population Percent
1 Mediterranean 34.07
2 West_European 24.83
3 West_Asian 21.46
4 East_European 10.8
5 Southwest_Asian 7.39
6 Southeast_Asian 0.71
7 Northwest_African 0.43
8 Northeast_Asian 0.16
9 East_African 0.15

Single Population Sharing:

# Population (source) Distance
1 Tuscan (Xing) 7.92
2 Tuscan (Henn) 8.89
3 Ashkenazy_Jews (Behar) 8.93
4 TSI (HapMap) 9.04
5 Ashkenazi (Dodecad) 10.2
6 O_Italian (Dodecad) 10.53
7 C_Italian (Dodecad) 12.32
8 Romanians_14 (Behar) 13.23
9 Greek (Dodecad) 14.24
10 Tuscan (HGDP) 14.8
11 S_Italian_Sicilian (Dodecad) 15.33
12 N_Italian (Dodecad) 15.81
13 Morocco_Jews (Behar) 16.69
14 Sicilian (Dodecad) 16.97
15 Balkans (Dodecad) 18.1
16 S_Italian (Dodecad) 18.29
17 North_Italian (HGDP) 19.92
18 Sephardic_Jews (Behar) 20.3
19 Slovenian (Xing) 22.62
20 Hungarians (Behar) 23.34

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 53.1% Cypriots (Behar) + 46.9% German (Dodecad) @ 2.26
2 60% S_Italian_Sicilian (Dodecad) + 40% Slovenian (Xing) @ 3.44
3 76.5% S_Italian_Sicilian (Dodecad) + 23.5% Finnish (Dodecad) @ 3.45
4 70.7% Ashkenazi (Dodecad) + 29.3% Hungarians (Behar) @ 3.52
5 71.5% S_Italian (Dodecad) + 28.5% FIN (1000Genomes) @ 3.68
6 75.1% S_Italian_Sicilian (Dodecad) + 24.9% FIN (1000Genomes) @ 3.68
7 55.5% S_Italian (Dodecad) + 44.5% Slovenian (Xing) @ 3.82
8 76.3% Greek (Dodecad) + 23.7% Swedish (Dodecad) @ 3.85
9 52.6% Cypriots (Behar) + 47.4% CEU (HapMap) @ 3.94
10 54% Cypriots (Behar) + 46% Argyll (1000 Genomes) @ 3.95
11 55% Slovenian (Xing) + 45% Cypriots (Behar) @ 3.98
12 76.9% Greek (Dodecad) + 23.1% Norwegian (Dodecad) @ 3.99
13 74.3% Ashkenazy_Jews (Behar) + 25.7% Hungarians (Behar) @ 4.03
14 70.4% Ashkenazi (Dodecad) + 29.6% Slovenian (Xing) @ 4.07
15 54.3% Cypriots (Behar) + 45.7% Orcadian (HGDP) @ 4.13
16 73.1% S_Italian (Dodecad) + 26.9% Finnish (Dodecad) @ 4.16
17 54.6% Cypriots (Behar) + 45.4% Orkney (1000 Genomes) @ 4.2
18 65.5% Ashkenazi (Dodecad) + 34.5% Balkans (Dodecad) @ 4.27
19 61.5% Ashkenazy_Jews (Behar) + 38.5% Romanians_14 (Behar) @ 4.27
20 69.2% Ashkenazy_Jews (Behar) + 30.8% Balkans (Dodecad)

Your results are always the most similar to mine.

[Enflamme]

Admix Results (sorted):

# Population Percent
1 West_European 40.74
2 Mediterranean 35.11
3 West_Asian 11.15
4 East_European 7.9
5 Southwest_Asian 3.21
6 Northwest_African 1.38
7 Neo_African 0.27
8 Palaeo_African 0.16
9 Southeast_Asian 0.07

Single Population Sharing:

# Population (source) Distance
1 N_Italian (Dodecad) 11.25
2 French (Dodecad) 11.4
3 French (HGDP) 11.47
4 Tuscan (Henn) 12.44
5 TSI (HapMap) 12.59
6 Tuscan (Xing) 12.9
7 Portuguese (Dodecad) 13.22
8 Spaniards (Behar) 14.8
9 IBS (1000Genomes) 15.04
10 Spanish (Dodecad) 15.42
11 CEU (HapMap) 15.45
12 North_Italian (HGDP) 15.61
13 Slovenian (Xing) 16.98
14 N._European (Xing) 17.01
15 O_Italian (Dodecad) 17.07
16 Orcadian (HGDP) 17.58
17 Argyll (1000 Genomes) 17.79
18 Orkney (1000 Genomes) 17.99
19 French_Basque (HGDP) 18.08
20 German (Dodecad) 18.49

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 55.1% CEU (HapMap) + 44.9% Tuscan (HGDP) @ 1.62
2 52.7% N._European (Xing) + 47.3% Tuscan (HGDP) @ 1.65
3 62.1% Tuscan (HGDP) + 37.9% Swedish (Dodecad) @ 1.81
4 60.4% N_Italian (Dodecad) + 39.6% N._European (Xing) @ 1.82
5 51.2% Orkney (1000 Genomes) + 48.8% Tuscan (HGDP) @ 1.94
6 51.5% Argyll (1000 Genomes) + 48.5% Tuscan (HGDP) @ 1.95
7 51.8% Orcadian (HGDP) + 48.2% Tuscan (HGDP) @ 2
8 52.5% CEU (HapMap) + 47.5% O_Italian (Dodecad) @ 2.14
9 73.7% N_Italian (Dodecad) + 26.3% Swedish (Dodecad) @ 2.28
10 50.8% O_Italian (Dodecad) + 49.2% Orcadian (HGDP) @ 2.3
11 51.3% O_Italian (Dodecad) + 48.7% Orkney (1000 Genomes) @ 2.35
12 72.2% French (Dodecad) + 27.8% Greek (Dodecad) @ 2.42
13 59.6% CEU (HapMap) + 40.4% C_Italian (Dodecad) @ 2.46
14 61.6% N_Italian (Dodecad) + 38.4% Argyll (1000 Genomes) @ 2.49
15 72.1% French (HGDP) + 27.9% Greek (Dodecad) @ 2.57
16 58.2% N_Italian (Dodecad) + 41.8% CEU (HapMap) @ 2.57
17 56.4% Orcadian (HGDP) + 43.6% C_Italian (Dodecad) @ 2.58
18 62.7% Tuscan (HGDP) + 37.3% Norwegian (Dodecad) @ 2.58
19 55.8% Orkney (1000 Genomes) + 44.2% C_Italian (Dodecad) @ 2.62
20 62.6% N_Italian (Dodecad) + 37.4% German (Dodecad) @ 2.63

[Dick]

# Population Percent
1 West_European 33.04
2 Mediterranean 27.99
3 East_European 18.58
4 West_Asian 13.3
5 Southwest_Asian 4.43
6 Northeast_Asian 2.05
7 Southeast_Asian 0.26
8 South_Asian 0.18
9 East_African 0.17

Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 9.11
2 Hungarians (Behar) 9.93
3 Balkans (Dodecad) 11.96
4 Romanians_14 (Behar) 12.06
5 Tuscan (Xing) 16.31
6 Tuscan (Henn) 16.66
7 TSI (HapMap) 17.15
8 N_Italian (Dodecad) 19.43
9 German (Dodecad) 19.65
10 O_Italian (Dodecad) 20.88
11 CEU (HapMap) 20.98
12 Ashkenazy_Jews (Behar) 21.49
13 N._European (Xing) 21.51
14 Argyll (1000 Genomes) 22.44
15 French (Dodecad) 22.89
16 Orcadian (HGDP) 23.05
17 French (HGDP) 23.12
18 Ashkenazi (Dodecad) 23.15
19 Orkney (1000 Genomes) 23.4
20 Tuscan (HGDP) 23.79

Using 2 populations approximation:
1 50% FIN +50% S_Italian @ 2.602530


Using 3 populations approximation:
1 50% C_Italian +25% Finnish +25% Slovenian @ 1.863871


Using 4 populations approximation:
1 Balkans + Finnish + O_Italian + TSI @ 0.928367
2 Balkans + Finnish + O_Italian + Tuscan @ 1.015398
3 Greek + Orcadian + Russian + Tuscan @ 1.035525
4 Greek + Orkney + Russian + Tuscan @ 1.050944
5 C_Italian + Greek + Norwegian + Russian @ 1.073364
6 Balkans + Finnish + O_Italian + Tuscan @ 1.094288
7 Finnish + Hungarians + S_Italian_Sicilian + TSI @ 1.142562
8 Finnish + Hungarians + S_Italian + TSI @ 1.196343
9 Finnish + Hungarians + Sicilian + TSI @ 1.202744
10 German + Russian + S_Italian_Sicilian + TSI @ 1.204795
11 Finnish + Romanians_14 + Tuscan + Tuscan @ 1.218558
12 Greek + Orkney + Russian + TSI @ 1.232554
13 Finnish + Hungarians + S_Italian + Tuscan @ 1.233791
14 CEU + Greek + Russian + Tuscan @ 1.262969
15 Finnish + Romanians_14 + TSI + Tuscan @ 1.269833
16 Greek + Orcadian + Russian + TSI @ 1.271801
17 Finnish + Romanians_14 + Tuscan + Tuscan @ 1.272974
18 Finnish + Romanians_14 + TSI + Tuscan @ 1.279691
19 Finnish + Hungarians + S_Italian_Sicilian + Tuscan @ 1.283477
20 Ashkenazi + Finnish + Hungarians + Tuscan @ 1.285733

[Norka]

# Population Percent
1 West_European 36.74
2 East_European 31.75
3 Mediterranean 14.36
4 Northeast_Asian 7.51
5 West_Asian 6.66
6 Southeast_Asian 1.70


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

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

Least-squares method.

Using 1 population approximation:
1 Hungarians @ 14.259812
2 Mixed_Slav @ 14.483909
3 Polish @ 15.506629
4 Slovenian @ 15.655993
5 Russian @ 18.108650
6 Finnish @ 19.957598
7 Russian @ 20.465481
8 FIN @ 21.144363
9 Balkans @ 23.086077
10 German @ 24.324638
11 Chuvashs_16 @ 25.419645
12 Belorussian @ 26.589977
13 Romanians_14 @ 27.966789
14 N._European @ 29.510189
15 Argyll @ 29.978247
16 CEU @ 30.028204
17 Lithuanians @ 30.299198
18 Orcadian @ 31.128681
19 Orkney @ 31.247517
20 Lithuanian @ 32.902634

Using 2 populations approximation:
1 50% Chuvashs_16 +50% German @ 3.695768


Using 3 populations approximation:
1 50% Chuvashs_16 +25% Hungarians +25% Orkney @ 3.525988


Using 4 populations approximation:
1 Chuvashs_16 + FIN + N_Italian + Russian @ 1.273284
2 Chuvashs_16 + Finnish + Finnish + Tuscan @ 1.446688
3 CEU + Chuvashs_16 + Russian + Slovenian @ 1.587884
4 Chuvashs_16 + Hungarians + Orkney + Russian @ 1.619743
5 Chuvashs_16 + Hungarians + Orcadian + Russian @ 1.621467
6 CEU + Chuvashs_16 + Hungarians + Russian @ 1.740250
7 Chuvashs_16 + Orcadian + Russian + Slovenian @ 1.760456
8 Balkans + Chuvashs_16 + Finnish + German @ 1.767289
9 Chuvashs_16 + Hungarians + Russian + Argyll @ 1.772984
10 Chuvashs_16 + Orkney + Russian + Slovenian @ 1.822141
11 Chuvashs_16 + Hungarians + Russian + N._European @ 1.831872
12 Chuvashs_16 + Russian + Argyll + Slovenian @ 1.894353
13 Chuvashs_16 + FIN + Hungarians + Hungarians @ 1.997974
14 Chuvashs_16 + Russian + N._European + Slovenian @ 2.002929
15 Balkans + Chuvashs_16 + Norwegian + Russian @ 2.105596
16 Chuvashs_16 + FIN + N_Italian + Russian @ 2.132275
17 Chuvashs_16 + Hungarians + Mixed_Germanic + Russian @ 2.151903
18 Chuvashs_16 + Finnish + Hungarians + Slovenian @ 2.152663
19 Chuvashs_16 + Norwegian + Romanians_14 + Russian @ 2.182841
20 Chuvashs_16 + Dutch + Hungarians + Russian @ 2.201769

[poiuytrewq0987]

Here's mine
<tbody>


#
Population
Percent


1
Mediterranean
35.71


2
East_European
30.53


3
West_European
17.65


4
West_Asian
12.5


5
Southwest_Asian
1.81


6
Northeast_Asian
1.49


7
Neo_African
0.19


8
Southeast_Asian
0.09


9
Northwest_African
0.03


10
South_Asian
0.01

</tbody>

Single Population Sharing:


<tbody>
#
Population (source)
Distance


1
Balkans (Dodecad)
8.15


2
Romanians_14 (Behar)
8.83


3
Hungarians (Behar)
20.42


4
Greek (Dodecad)
22.13


5
Slovenian (Xing)
24.08


6
Mixed_Slav (Dodecad)
26.75


7
Tuscan (Xing)
26.87


8
Polish (Dodecad)
27.3


9
O_Italian (Dodecad)
27.32


10
Ashkenazy_Jews (Behar)
27.37


11
Tuscan (Henn)
27.41


12
C_Italian (Dodecad)
27.42


13
N_Italian (Dodecad)
27.97


14
TSI (HapMap)
27.97


15
Tuscan (HGDP)
28.15


16
Sicilian (Dodecad)
28.38


17
Ashkenazi (Dodecad)
28.49


18
S_Italian_Sicilian (Dodecad)
29.36


19
S_Italian (Dodecad)
30.49


20
North_Italian (HGDP)
30.75

</tbody>

Mixed Mode Population Sharing:


<tbody>
#


Primary Population (source)
Secondary Population (source)
Distance


1


59.9%
Greek (Dodecad)
+
40.1%
Belorussian (Behar)
@
5.27


2


53.5%
Sicilian (Dodecad)
+
46.5%
Belorussian (Behar)
@
5.97


3


51.7%
S_Italian (Dodecad)
+
48.3%
Belorussian (Behar)
@
6.16


4


65.7%
Greek (Dodecad)
+
34.3%
Lithuanians (Behar)
@
6.71


5


66.8%
Greek (Dodecad)
+
33.2%
Lithuanian (Dodecad)
@
6.75


6


86.9%
Romanians_14 (Behar)
+
13.1%
Belorussian (Behar)
@
7.42


7


52.7%
S_Italian_Sicilian (Dodecad)
+
47.3%
Belorussian (Behar)
@
7.49


8


86.8%
Balkans (Dodecad)
+
13.2%
Greek (Dodecad)
@
7.51


9


55.8%
Greek (Dodecad)
+
44.2%
Polish (Dodecad)
@
7.55


10


60.7%
Sicilian (Dodecad)
+
39.3%
Lithuanian (Dodecad)
@
7.56


11


92.7%
Balkans (Dodecad)
+
7.3%
Cypriots (Behar)
@
7.61


12


59.5%
Sicilian (Dodecad)
+
40.5%
Lithuanians (Behar)
@
7.67


13


55.3%
Greek (Dodecad)
+
44.7%
Mixed_Slav (Dodecad)
@
7.77


14


91.7%
Balkans (Dodecad)
+
8.3%
Sicilian (Dodecad)
@
7.77


15


92.8%
Balkans (Dodecad)
+
7.2%
Sephardic_Jews (Behar)
@
7.78


16


92.7%
Balkans (Dodecad)
+
7.3%
S_Italian (Dodecad)
@
7.81


17


91.4%
Romanians_14 (Behar)
+
8.6%
Lithuanian (Dodecad)
@
7.89


18


59.8%
Greek (Dodecad)
+
40.2%
Russian (Dodecad)
@
7.9


19


66.3%
Balkans (Dodecad)
+
33.7%
Romanians_14 (Behar)
@
7.9


20


91.3%
Romanians_14 (Behar)
+
8.7%
Lithuanians (Behar)
@
7.95

</tbody>

[poiuytrewq0987]

# Population Percent
1 West_European 36.74
2 East_European 31.75
3 Mediterranean 14.36
4 Northeast_Asian 7.51
5 West_Asian 6.66
6 Southeast_Asian 1.70


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

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



Lol. Your results are like mine save for the Northeast Asian which I'm sure comes from your Tatar ancestry. Only that our Mediterranean and West European scores are reversed.

[poiuytrewq0987]

Here's mine
<tbody>


#
Population
Percent


1
Mediterranean
35.71


2
East_European
30.53


3
West_European
17.65


4
West_Asian
12.5


5
Southwest_Asian
1.81


6
Northeast_Asian
1.49


7
Neo_African
0.19


8
Southeast_Asian
0.09


9
Northwest_African
0.03


10
South_Asian
0.01

</tbody>




BTW, my Dodecad result corresponds with my AncestryDNA results. I get 48% Europe East and 45% Greece/Italy on there, basically equivalents of Dodecad's East_European and Mediterranean.

[firemonkey]

FTDNA

Admix Results (sorted):

# Population Percent
1 West_European 54.36
2 Mediterranean 24.91
3 East_European 11.97
4 West_Asian 6.37
5 South_Asian 1.63
6 Northwest_African 0.58
7 Northeast_Asian 0.13
8 Southeast_Asian 0.03
9 East_African 0.03

Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 1.94
2 Orcadian (HGDP) 2.25
3 Argyll (1000 Genomes) 2.38
4 Orkney (1000 Genomes) 2.4
5 N._European (Xing) 3.31
6 German (Dodecad) 5.71
7 Mixed_Germanic (Dodecad) 8.82
8 Dutch (Dodecad) 9.54
9 French (HGDP) 11.36
10 French (Dodecad) 11.45
11 Kent (1000 Genomes) 11.53
12 British_Isles (Dodecad) 13.05
13 British (Dodecad) 13.33
14 Cornwall (1000 Genomes) 14.05
15 Swedish (Dodecad) 15.01
16 Irish (Dodecad) 15.94
17 Norwegian (Dodecad) 15.95
18 Slovenian (Xing) 16.51
19 Hungarians (Behar) 20.48
20 French_Basque (HGDP) 22.09

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 94% Orkney (1000 Genomes) + 6% Balkans (Dodecad) @ 1.34
2 91.2% Orkney (1000 Genomes) + 8.8% Hungarians (Behar) @ 1.36
3 94.4% Orkney (1000 Genomes) + 5.6% Romanians_14 (Behar) @ 1.42
4 98% Orcadian (HGDP) + 2% Mala (Reich) @ 1.44
5 97.9% Orcadian (HGDP) + 2.1% Bhil (Reich) @ 1.44
6 97.9% Orcadian (HGDP) + 2.1% AP_Madiga (Xing) @ 1.45
7 98% Orcadian (HGDP) + 2% TN_Dalit (Xing) @ 1.46
8 97.9% Orcadian (HGDP) + 2.1% Kurumba (Reich) @ 1.46
9 97.8% Orcadian (HGDP) + 2.2% Hallaki (Reich) @ 1.46
10 89.6% Orkney (1000 Genomes) + 10.4% Slovenian (Xing) @ 1.46
11 97.9% Orcadian (HGDP) + 2.1% Chenchu (Reich) @ 1.46
12 98.1% Orcadian (HGDP) + 1.9% North_Kannadi (Behar) @ 1.47
13 97.8% Orcadian (HGDP) + 2.2% Satnami (Reich) @ 1.47
14 92.3% Orcadian (HGDP) + 7.7% Hungarians (Behar) @ 1.47
15 98% Orcadian (HGDP) + 2% Vysya (Reich) @ 1.47
16 97.6% Orcadian (HGDP) + 2.4% Srivastava (Reich) @ 1.47
17 98% Orcadian (HGDP) + 2% AP_Mala (Xing) @ 1.48
18 97.8% Orcadian (HGDP) + 2.2% Lodi (Reich) @ 1.48
19 97.9% Orcadian (HGDP) + 2.1% Naidu (Reich) @ 1.48
20 97.8% Orcadian (HGDP) + 2.2% INS (SGVP) @ 1.49


23andMe


Admix Results (sorted):

# Population Percent
1 West_European 54.14
2 Mediterranean 24.57
3 East_European 12.3
4 West_Asian 6.34
5 South_Asian 1.17
6 Northwest_African 0.75
7 East_African 0.36
8 Northeast_Asian 0.21
9 Palaeo_African 0.09
10 Southeast_Asian 0.07

Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 2.05
2 Argyll (1000 Genomes) 2.34
3 Orcadian (HGDP) 2.44
4 Orkney (1000 Genomes) 2.59
5 N._European (Xing) 3.18
6 German (Dodecad) 5.23
7 Mixed_Germanic (Dodecad) 9.03
8 Dutch (Dodecad) 9.85
9 French (HGDP) 11.72
10 French (Dodecad) 11.8
11 Kent (1000 Genomes) 11.83
12 British_Isles (Dodecad) 13.33
13 British (Dodecad) 13.62
14 Cornwall (1000 Genomes) 14.35
15 Swedish (Dodecad) 14.9
16 Norwegian (Dodecad) 15.96
17 Slovenian (Xing) 16.14
18 Irish (Dodecad) 16.2
19 Hungarians (Behar) 20.13
20 French_Basque (HGDP) 22.45

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 89.6% Orkney (1000 Genomes) + 10.4% Hungarians (Behar) @ 1.15
2 87.7% Orkney (1000 Genomes) + 12.3% Slovenian (Xing) @ 1.26
3 93.2% Orkney (1000 Genomes) + 6.8% Balkans (Dodecad) @ 1.28
4 93.7% CEU (HapMap) + 6.3% FIN (1000Genomes) @ 1.32
5 90.7% Orcadian (HGDP) + 9.3% Hungarians (Behar) @ 1.32
6 88.9% Orcadian (HGDP) + 11.1% Slovenian (Xing) @ 1.39
7 95.6% CEU (HapMap) + 4.4% Finnish (Dodecad) @ 1.42
8 93.8% Orkney (1000 Genomes) + 6.2% Romanians_14 (Behar) @ 1.47
9 94.8% Orcadian (HGDP) + 5.2% Mixed_Slav (Dodecad) @ 1.47
10 94.7% Orcadian (HGDP) + 5.3% Polish (Dodecad) @ 1.48
11 96% Orcadian (HGDP) + 4% Belorussian (Behar) @ 1.48
12 94.2% Orcadian (HGDP) + 5.8% Balkans (Dodecad) @ 1.53
13 94.5% Orkney (1000 Genomes) + 5.5% Mixed_Slav (Dodecad) @ 1.53
14 95.5% Orcadian (HGDP) + 4.5% Russian (Dodecad) @ 1.53
15 94.4% Orkney (1000 Genomes) + 5.6% Polish (Dodecad) @ 1.55
16 95.8% Orkney (1000 Genomes) + 4.2% Belorussian (Behar) @ 1.56
17 79% CEU (HapMap) + 21% German (Dodecad) @ 1.57
18 95.9% Orcadian (HGDP) + 4.1% Russian (HGDP) @ 1.6
19 97.7% CEU (HapMap) + 2.3% Lithuanian (Dodecad) @ 1.64
20 97.6% CEU (HapMap) + 2.4% Lithuanians (Behar) @ 1.64

[firemonkey]

Father FTDNA

Admix Results (sorted):

# Population Percent
1 West_European 54.75
2 Mediterranean 24.74
3 East_European 10.59
4 West_Asian 8.65
5 Southwest_Asian 1.19
6 Northeast_Asian 0.08

Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 1.84
2 Argyll (1000 Genomes) 2.11
3 Orcadian (HGDP) 2.2
4 N._European (Xing) 2.42
5 Orkney (1000 Genomes) 2.48
6 German (Dodecad) 6.77
7 Mixed_Germanic (Dodecad) 7.02
8 Dutch (Dodecad) 8.27
9 Kent (1000 Genomes) 10.35
10 French (HGDP) 10.68
11 French (Dodecad) 11.2
12 British_Isles (Dodecad) 12.05
13 British (Dodecad) 12.28
14 Cornwall (1000 Genomes) 12.87
15 Irish (Dodecad) 14.96
16 Swedish (Dodecad) 14.97
17 Norwegian (Dodecad) 15.71
18 Slovenian (Xing) 17.19
19 Hungarians (Behar) 21.45
20 French_Basque (HGDP) 22.18

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 72.6% British_Isles (Dodecad) + 27.4% Balkans (Dodecad) @ 0.71
2 96.8% Orcadian (HGDP) + 3.2% Assyrian (Dodecad) @ 0.72
3 96.4% Orkney (1000 Genomes) + 3.6% Assyrian (Dodecad) @ 0.78
4 96.4% Orkney (1000 Genomes) + 3.6% Armenian (Dodecad) @ 0.8
5 96.9% Orcadian (HGDP) + 3.1% Armenian (Dodecad) @ 0.81
6 96.5% Orcadian (HGDP) + 3.5% Georgia_Jews (Behar) @ 0.81
7 96.5% Orcadian (HGDP) + 3.5% Azerbaijan_Jews (Behar) @ 0.82
8 96.6% Orcadian (HGDP) + 3.4% Druze (HGDP) @ 0.83
9 96.7% Orcadian (HGDP) + 3.3% Iraq_Jews (Behar) @ 0.84
10 96.1% Orkney (1000 Genomes) + 3.9% Druze (HGDP) @ 0.84
11 96.5% Orkney (1000 Genomes) + 3.5% Armenians_16 (Behar) @ 0.86
12 97% Orcadian (HGDP) + 3% Armenians_16 (Behar) @ 0.87
13 96.6% Orcadian (HGDP) + 3.4% Iranian_Jews (Behar) @ 0.88
14 96.7% Orcadian (HGDP) + 3.3% Samaritians (Behar) @ 0.9
15 96.1% Orkney (1000 Genomes) + 3.9% Azerbaijan_Jews (Behar) @ 0.9
16 96.4% Orcadian (HGDP) + 3.6% Uzbekistan_Jews (Behar) @ 0.92
17 96.3% Orkney (1000 Genomes) + 3.7% Iraq_Jews (Behar) @ 0.92
18 96% Orkney (1000 Genomes) + 4% Georgia_Jews (Behar) @ 0.93
19 96.7% Orcadian (HGDP) + 3.3% Syrians (Behar) @ 0.93
20 96.3% Orkney (1000 Genomes) + 3.7% Samaritians (Behar) @ 0.95

[dddcc]

Admix Results (sorted):


# Population Percent
1 West_European 33.49
2 Mediterranean 24.32
3 Northwest_African 10.09
4 Southwest_Asian 8.66
5 West_Asian 8.18
6 East_European 6.84
7 East_African 3.8
8 Neo_African 2.53
9 Palaeo_African 1.22
10 South_Asian 0.47
11 Southeast_Asian 0.4

Single Population Sharing:


# Population (source) Distance
1 Tuscan (Xing) 17.64
2 Tuscan (Henn) 17.77
3 TSI (HapMap) 18.54
4 Slovenian (Xing) 19.2
5 Portuguese (Dodecad) 20.97

Using 2 populations approximation:
1 50% Algeria +50% Argyll @ 4.445340

Using 4 populations approximation:
1 CEU + Morocco_Jews + Swedish + Sahara_OCC @ 1.618438
2 German + Morocco_Jews + Norwegian + Sahara_OCC @ 1.750518
3 Morocco_Jews + Orcadian + Swedish + Sahara_OCC @ 1.782232
4 Morocco_Jews + Orkney + Swedish + Sahara_OCC @ 1.838384
5 Morocco_Jews + Swedish + Argyll + Sahara_OCC @ 1.931823

[Peterski]

This calculator is very Western-biased.

This is me (I'm Western Polish):

Admix Results (sorted):

# Population Percent
1 West_European 42.87
2 East_European 28.79
3 Mediterranean 18.88
4 West_Asian 8.71
5 South_Asian 0.41
6 Southwest_Asian 0.29
7 East_African 0.05

This is Eastern Pole from Kresy:

https://en.wikipedia.org/wiki/Kresy

Admix Results (sorted):

# Population Percent
1 West_European 39.91
2 East_European 36.54
3 Mediterranean 15.78
4 West_Asian 5.16
5 Southwest_Asian 1.67
6 Southeast_Asian 0.67
7 Northeast_Asian 0.21
8 South_Asian 0.05

===============

So I don't know where exactly does "Eastern Europe" start according to this calculator ???

Maybe someone from the Ural would score 45% East Europe... and 35% West Europe? :biggrin:

[Norka]

Very West Euro bias

# Population Percent
1 West_European 36.74
2 East_European 31.75
3 Mediterranean 14.36
4 Northeast_Asian 7.51
5 West_Asian 6.66
6 Southeast_Asian 1.70


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

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

Least-squares method.

Using 1 population approximation:
1 Hungarians @ 14.259812
2 Mixed_Slav @ 14.483909
3 Polish @ 15.506629
4 Slovenian @ 15.655993
5 Russian @ 18.108650
6 Finnish @ 19.957598
7 Russian @ 20.465481
8 FIN @ 21.144363
9 Balkans @ 23.086077
10 German @ 24.324638
11 Chuvashs_16 @ 25.419645
12 Belorussian @ 26.589977
13 Romanians_14 @ 27.966789
14 N._European @ 29.510189
15 Argyll @ 29.978247
16 CEU @ 30.028204
17 Lithuanians @ 30.299198
18 Orcadian @ 31.128681
19 Orkney @ 31.247517
20 Lithuanian @ 32.902634

Using 2 populations approximation:
1 50% Chuvashs_16 +50% German @ 3.695768


Using 3 populations approximation:
1 50% Chuvashs_16 +25% Hungarians +25% Orkney @ 3.525988


Using 4 populations approximation:
1 Chuvashs_16 + FIN + N_Italian + Russian @ 1.273284
2 Chuvashs_16 + Finnish + Finnish + Tuscan @ 1.446688
3 CEU + Chuvashs_16 + Russian + Slovenian @ 1.587884
4 Chuvashs_16 + Hungarians + Orkney + Russian @ 1.619743
5 Chuvashs_16 + Hungarians + Orcadian + Russian @ 1.621467
6 CEU + Chuvashs_16 + Hungarians + Russian @ 1.740250
7 Chuvashs_16 + Orcadian + Russian + Slovenian @ 1.760456
8 Balkans + Chuvashs_16 + Finnish + German @ 1.767289
9 Chuvashs_16 + Hungarians + Russian + Argyll @ 1.772984
10 Chuvashs_16 + Orkney + Russian + Slovenian @ 1.822141
11 Chuvashs_16 + Hungarians + Russian + N._European @ 1.831872
12 Chuvashs_16 + Russian + Argyll + Slovenian @ 1.894353
13 Chuvashs_16 + FIN + Hungarians + Hungarians @ 1.997974
14 Chuvashs_16 + Russian + N._European + Slovenian @ 2.002929
15 Balkans + Chuvashs_16 + Norwegian + Russian @ 2.105596
16 Chuvashs_16 + FIN + N_Italian + Russian @ 2.132275
17 Chuvashs_16 + Hungarians + Mixed_Germanic + Russian @ 2.151903
18 Chuvashs_16 + Finnish + Hungarians + Slovenian @ 2.152663
19 Chuvashs_16 + Norwegian + Romanians_14 + Russian @ 2.182841
20 Chuvashs_16 + Dutch + Hungarians + Russian @ 2.201769

[Hybrid99]

East_European 14.55
West_European 25.12
Mediterranean 3.76
Neo_African 30.35
West_Asian 0.34
South_Asian 1.21
Northeast_Asian 4.05
Southeast_Asian -
East_African 6.04
Southwest_Asian -
Northwest_African -
Palaeo_African 14.59

[Jesse1961]

East_European 2.39
West_European -
Mediterranean 0.11
Neo_African 0.21
West_Asian -
South_Asian 7.87
Northeast_Asian 9.40
Southeast_Asian 78.07
East_African 0.74
Southwest_Asian 0.26
Northwest_African -
Palaeo_African 0.93

[Enflamme]

Admix Results (sorted):

# Population Percent
1 West_European 40.74
2 Mediterranean 35.11
3 West_Asian 11.15
4 East_European 7.90
5 Southwest_Asian 3.21
6 Northwest_African 1.38


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

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

Least-squares method.

Using 1 population approximation:
1 N_Italian @ 12.428623
2 French @ 12.785280
3 French @ 12.819332
4 Tuscan @ 13.940812
5 TSI @ 14.150565
6 Tuscan @ 14.481821
7 Portuguese @ 14.741596
8 Spaniards @ 16.417828
9 IBS @ 16.687092
10 Spanish @ 17.129383
11 CEU @ 17.174227
12 North_Italian @ 17.201532
13 Slovenian @ 18.670065
14 N._European @ 18.869192
15 O_Italian @ 19.074692
16 Orcadian @ 19.551849
17 Argyll @ 19.750166
18 Orkney @ 20.010784
19 French_Basque @ 20.188038
20 German @ 20.474251

Using 2 populations approximation:
1 50% Tuscan +50% N._European @ 2.066659


Using 3 populations approximation:
1 50% Orcadian +25% Portuguese +25% S_Italian @ 1.618333


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++
1 Irish + Romanians_14 + Spanish + TSI @ 0.679274
2 German + S_Italian + Spaniards + Argyll @ 0.698202
3 IBS + Irish + Romanians_14 + TSI @ 0.744292
4 German + Orcadian + S_Italian + Spaniards @ 0.815538
5 British_Isles + Romanians_14 + Spaniards + TSI @ 0.840041
6 German + Orkney + S_Italian + Spaniards @ 0.858484
7 C_Italian + Mixed_Germanic + Spaniards + Slovenian @ 0.858754
8 C_Italian + IBS + Kent + Slovenian @ 0.861535
9 C_Italian + Dutch + IBS + Slovenian @ 0.878479
10 C_Italian + Mixed_Germanic + Spanish + Slovenian @ 0.884512
11 IBS + Irish + Romanians_14 + Tuscan @ 0.897590
12 British + Romanians_14 + Spaniards + TSI @ 0.912041
13 Irish + Romanians_14 + Spaniards + TSI @ 0.919799
14 Irish + Romanians_14 + Spanish + Tuscan @ 0.922316
15 British_Isles + Romanians_14 + Spaniards + Tuscan @ 0.932931
16 Irish + Romanians_14 + Spanish + Tuscan @ 0.949402
17 Irish + Romanians_14 + Spaniards + Tuscan @ 0.952050
18 German + IBS + Orkney + S_Italian @ 0.958229
19 Cornwall + Romanians_14 + Spaniards + Tuscan @ 0.972000
20 C_Italian + Dutch + Spaniards + Slovenian @ 0.976492

Done.

Elapsed time 0.2734 seconds.

[blondbeast]

# Population Percent
1 West_European 39.03
2 East_European 35.76
3 Mediterranean 13.95
4 West_Asian 7.15
5 Northeast_Asian 2.67
6 South_Asian 1.29
7 Northwest_African 0.16

Single Population Sharing:

# Population (source) Distance
1 Mixed_Slav (Dodecad) 9.82
2 Polish (Dodecad) 10.29
3 Russian (Dodecad) 13.68
4 Hungarians (Behar) 13.86
5 Slovenian (Xing) 15.5
6 Finnish (Dodecad) 16.03
7 Russian (HGDP) 16.68
8 FIN (1000Genomes) 18.07
9 Belorussian (Behar) 21.02
10 Balkans (Dodecad) 22.24
11 German (Dodecad) 22.55
12 Lithuanians (Behar) 23.77
13 Lithuanian (Dodecad) 26.22
14 Chuvashs_16 (Behar) 26.8
15 Romanians_14 (Behar) 27.14
16 N._European (Xing) 27.83
17 Argyll (1000 Genomes) 27.99
18 CEU (HapMap) 28.26
19 Orcadian (HGDP) 29.03
20 Orkney (1000 Genomes) 29.12

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 67.3% Russian (Dodecad) + 32.7% Argyll (1000 Genomes) @ 1.96
2 71.6% Russian (Dodecad) + 28.4% Mixed_Germanic (Dodecad) @ 1.97
3 67.3% Russian (Dodecad) + 32.7% N._European (Xing) @ 2.18
4 72.7% Russian (Dodecad) + 27.3% Dutch (Dodecad) @ 2.29
5 68.2% Russian (Dodecad) + 31.8% Orcadian (HGDP) @ 2.33
6 68.3% Russian (Dodecad) + 31.7% Orkney (1000 Genomes) @ 2.33
7 67.6% Russian (Dodecad) + 32.4% CEU (HapMap) @ 2.4
8 73.7% Russian (Dodecad) + 26.3% Kent (1000 Genomes) @ 2.45
9 62.5% Russian (Dodecad) + 37.5% German (Dodecad) @ 2.48
10 74.8% Russian (Dodecad) + 25.2% Cornwall (1000 Genomes) @ 2.61
11 74.5% Russian (Dodecad) + 25.5% British (Dodecad) @ 2.72
12 74.3% Russian (Dodecad) + 25.7% British_Isles (Dodecad) @ 2.79
13 58.3% Finnish (Dodecad) + 41.7% Balkans (Dodecad) @ 2.85
14 63.1% Russian (HGDP) + 36.9% CEU (HapMap) @ 2.97
15 75.3% Russian (Dodecad) + 24.7% Irish (Dodecad) @ 3.12
16 57.7% Russian (HGDP) + 42.3% German (Dodecad) @ 3.26
17 63% Russian (HGDP) + 37% Argyll (1000 Genomes) @ 3.27
18 63.8% Russian (HGDP) + 36.2% Orcadian (HGDP) @ 3.32
19 77.6% Mixed_Slav (Dodecad) + 22.4% Swedish (Dodecad) @ 3.37
20 79.4% Mixed_Slav (Dodecad) + 20.6% Norwegian (Dodecad) @ 3.38

[Kriptc06]

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

[Kelmendasi]

# Population Percent
1 Mediterranean 37.23
2 West_European 24.47
3 West_Asian 18.97
4 East_European 12.14
5 Southwest_Asian 6.68
6 Northwest_African 0.51

Single Population Sharing:

# Population (source) Distance
1 Tuscan (Xing) 8.28
2 Tuscan (Henn) 8.94
3 O_Italian (Dodecad) 9.33
4 TSI (HapMap) 9.34
5 C_Italian (Dodecad) 11.08
6 Ashkenazy_Jews (Behar) 11.21
7 Romanians_14 (Behar) 11.81
8 Ashkenazi (Dodecad) 12.18
9 Tuscan (HGDP) 12.61
10 Greek (Dodecad) 13.03
11 N_Italian (Dodecad) 13.68
12 S_Italian_Sicilian (Dodecad) 14.82
13 Sicilian (Dodecad) 15.85
14 Balkans (Dodecad) 16.79
15 North_Italian (HGDP) 17.48
16 S_Italian (Dodecad) 17.63
17 Morocco_Jews (Behar) 17.92
18 Sephardic_Jews (Behar) 20.02
19 Slovenian (Xing) 22.67
20 Hungarians (Behar) 22.82

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 60.7% S_Italian_Sicilian (Dodecad) + 39.3% Hungarians (Behar) @ 1.45
2 56.3% S_Italian (Dodecad) + 43.7% Slovenian (Xing) @ 1.55
3 60.6% S_Italian_Sicilian (Dodecad) + 39.4% Slovenian (Xing) @ 1.91
4 77.8% C_Italian (Dodecad) + 22.2% Mixed_Slav (Dodecad) @ 2.11
5 59% Sicilian (Dodecad) + 41% Slovenian (Xing) @ 2.19
6 80.1% C_Italian (Dodecad) + 19.9% Russian (Dodecad) @ 2.22
7 78.1% C_Italian (Dodecad) + 21.9% Polish (Dodecad) @ 2.3
8 77.8% Greek (Dodecad) + 22.2% Swedish (Dodecad) @ 2.36
9 81.4% C_Italian (Dodecad) + 18.6% Russian (HGDP) @ 2.37
10 56.5% S_Italian (Dodecad) + 43.5% Hungarians (Behar) @ 2.38
11 71.1% Greek (Dodecad) + 28.9% N._European (Xing) @ 2.38
12 83.4% C_Italian (Dodecad) + 16.6% Lithuanians (Behar) @ 2.45
13 78.4% Greek (Dodecad) + 21.6% Norwegian (Dodecad) @ 2.46
14 56.2% O_Italian (Dodecad) + 43.8% Romanians_14 (Behar) @ 2.52
15 84% C_Italian (Dodecad) + 16% Lithuanian (Dodecad) @ 2.55
16 71% Greek (Dodecad) + 29% German (Dodecad) @ 2.55
17 72.3% S_Italian (Dodecad) + 27.7% FIN (1000Genomes) @ 2.77
18 70.6% Greek (Dodecad) + 29.4% CEU (HapMap) @ 2.81
19 82.1% C_Italian (Dodecad) + 17.9% Finnish (Dodecad) @ 2.81
20 67.9% C_Italian (Dodecad) + 32.1% Hungarians (Behar) @ 2.83

[Hadouken]

# Population Percent

1 West_Asian 39.62
2 Mediterranean 23.68
3 Southwest_Asian 14.98
4 South_Asian 8.57
5 West_European 8.03
6 East_European 1.74
7 Southeast_Asian 1.38
8 Northeast_Asian 1.05
9 Neo_African 0.91
10 East_African 0.02

Single Population Sharing:

# Population (source) Distance

1 Uzbekistan_Jews (Behar) 3.84
2 Kurd (Xing) 4.42
3 Kurd (Dodecad) 5.42
4 Azerbaijan_Jews (Behar) 7.13
5 Iranian_Jews (Behar) 8.31
6 Georgia_Jews (Behar) 8.84
7 Turkish (Dodecad) 10.25
8 Iranians (Behar) 10.28
9 Iraq_Jews (Behar) 10.38
10 Turks (Behar) 11.34
11 Iranian (Dodecad) 12.13
12 Druze (HGDP) 12.59
13 Assyrian (Dodecad) 14.07
14 Lebanese (Behar) 14.92
15 Syrians (Behar) 15.38
16 Armenian (Dodecad) 16.11
17 Palestinian (HGDP) 16.58
18 Samaritians (Behar) 16.79
19 Jordanians_19 (Behar) 18.93
20 Stalskoe (Xing) 18.95

Mixed Mode Population Sharing:


# Primary Population (source) Secondary Population (source) Distance

1 71.7% Iranians (Behar) + 28.3% S_Italian_Sicilian (Dodecad) @ 1.9
2 72.3% Iranians (Behar) + 27.7% S_Italian (Dodecad) @ 2.2
3 74.5% Iranians (Behar) + 25.5% C_Italian (Dodecad) @ 2.3
4 73.3% Iranians (Behar) + 26.7% Sicilian (Dodecad) @ 2.3
5 83.7% Kurd (Dodecad) + 16.3% Sephardic_Jews (Behar) @ 2.62
6 78.2% Iranians (Behar) + 21.8% Tuscan (HGDP) @ 2.71
7 86% Azerbaijan_Jews (Behar) + 14% Burusho (HGDP) @ 2.73
8 82.9% Iranians (Behar) + 17.1% Sardinian (HGDP) @ 2.83
9 93.4% Kurd (Xing) + 6.6% Sardinian (HGDP) @ 2.85
10 84.6% Azerbaijan_Jews (Behar) + 15.4% Pathan (HGDP) @ 2.9
11 84.8% Kurd (Dodecad) + 15.2% S_Italian_Sicilian (Dodecad) @ 2.91
12 85.1% Kurd (Dodecad) + 14.9% S_Italian (Dodecad) @ 2.92
13 94% Kurd (Xing) + 6% Spaniards (Behar) @ 2.95
14 94% Kurd (Xing) + 6% Spanish (Dodecad) @ 2.98
15 93.9% Kurd (Xing) + 6.1% IBS (1000Genomes) @ 2.98
16 65.3% Uzbekistan_Jews (Behar) + 34.7% Kurd (Dodecad) @ 3
17 90.7% Kurd (Xing) + 9.3% O_Italian (Dodecad) @ 3
18 71.2% Iranians (Behar) + 28.8% Sephardic_Jews (Behar) @ 3
19 94.7% Kurd (Xing) + 5.3% French_Basque (HGDP) @ 3.01
20 86.5% Kurd (Xing) + 13.5% Ashkenazi (Dodecad) @ 3.01

https://personaltravelstories.files.wordpress.com/2014/03/20140329-183449.jpg

[Rius]

# Population Percent
1 West_Asian 32.29
2 Mediterranean 26.18
3 Southwest_Asian 10.9
4 East_European 10.45
5 West_European 9.04
6 South_Asian 3.81
7 Southeast_Asian 3.28
8 Northeast_Asian 2.11
9 East_African 1.19
10 Palaeo_African 0.75

Single Population Sharing:

# Population (source) Distance
1 Turkish (Dodecad) 9.52
2 Uzbekistan_Jews (Behar) 11.79
3 Kurd (Xing) 13.11
4 Turks (Behar) 13.28
5 Kurd (Dodecad) 14.12
6 Georgia_Jews (Behar) 14.87
7 Azerbaijan_Jews (Behar) 15.42
8 Ashkenazy_Jews (Behar) 15.54
9 Ashkenazi (Dodecad) 15.79
10 Iranian_Jews (Behar) 16.02
11 Lebanese (Behar) 16.41
12 Druze (HGDP) 17
13 Morocco_Jews (Behar) 17.35
14 Iraq_Jews (Behar) 17.46
15 Stalskoe (Xing) 17.93
16 Palestinian (HGDP) 18.38
17 Greek (Dodecad) 18.96
18 Syrians (Behar) 19.24
19 Cypriots (Behar) 19.37
20 Iranians (Behar) 19.61

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 66.3% Kurd (Xing) + 33.7% Romanians_14 (Behar) @ 4.87
2 87.1% Turkish (Dodecad) + 12.9% Belorussian (Behar) @ 5.26
3 85.8% Turkish (Dodecad) + 14.2% Polish (Dodecad) @ 5.28
4 66.4% Azerbaijan_Jews (Behar) + 33.6% Balkans (Dodecad) @ 5.29
5 70.4% Kurd (Xing) + 29.6% Balkans (Dodecad) @ 5.3
6 69.4% Uzbekistan_Jews (Behar) + 30.6% Romanians_14 (Behar) @ 5.32
7 86.3% Turkish (Dodecad) + 13.7% Russian (Dodecad) @ 5.32
8 85.4% Turkish (Dodecad) + 14.6% Mixed_Slav (Dodecad) @ 5.32
9 86.9% Turkish (Dodecad) + 13.1% Russian (HGDP) @ 5.42
10 73.2% Uzbekistan_Jews (Behar) + 26.8% Balkans (Dodecad) @ 5.43
11 88.5% Turkish (Dodecad) + 11.5% Lithuanians (Behar) @ 5.46
12 88.8% Turkish (Dodecad) + 11.2% Lithuanian (Dodecad) @ 5.52
13 65.5% Iranian_Jews (Behar) + 34.5% Balkans (Dodecad) @ 5.55
14 62.3% Azerbaijan_Jews (Behar) + 37.7% Romanians_14 (Behar) @ 5.61
15 78.8% Turkish (Dodecad) + 21.2% Balkans (Dodecad) @ 5.66
16 76.2% Azerbaijan_Jews (Behar) + 23.8% Mixed_Slav (Dodecad) @ 5.69
17 61.4% Iranian_Jews (Behar) + 38.6% Romanians_14 (Behar) @ 5.71
18 76.9% Azerbaijan_Jews (Behar) + 23.1% Polish (Dodecad) @ 5.81
19 64.9% Kurd (Dodecad) + 35.1% Romanians_14 (Behar) @ 5.87
20 83.1% Turkish (Dodecad) + 16.9% Hungarians (Behar) @ 5.91

[Lek]

Admix Results (sorted):

# Population Percent
1 Mediterranean 34.14
2 West_European 27.67
3 West_Asian 19.09
4 East_European 11.4
5 Southwest_Asian 6.79
6 Northwest_African 0.46
7 Northeast_Asian 0.29
8 Southeast_Asian 0.15
9 South_Asian 0.01

Single Population Sharing:

# Population (source) Distance
1 Tuscan (Xing) 6.88
2 Tuscan (Henn) 7.62
3 TSI (HapMap) 7.96
4 O_Italian (Dodecad) 10.62
5 Ashkenazy_Jews (Behar) 11.57
6 Romanians_14 (Behar) 12.7
7 Ashkenazi (Dodecad) 12.88
8 C_Italian (Dodecad) 13.7
9 N_Italian (Dodecad) 13.77
10 Tuscan (HGDP) 14.6
11 Greek (Dodecad) 16.63
12 Balkans (Dodecad) 16.93
13 S_Italian_Sicilian (Dodecad) 17.61
14 North_Italian (HGDP) 18.3
15 Sicilian (Dodecad) 19.11
16 Morocco_Jews (Behar) 19.15
17 Slovenian (Xing) 19.92
18 S_Italian (Dodecad) 20.68
19 Hungarians (Behar) 20.8
20 Portuguese (Dodecad) 22.74

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 53.1% S_Italian_Sicilian (Dodecad) + 46.9% Slovenian (Xing) @ 2.12
2 65.8% Tuscan (Xing) + 34.2% Romanians_14 (Behar) @ 2.25
3 62.1% TSI (HapMap) + 37.9% Romanians_14 (Behar) @ 2.33
4 72.2% Tuscan (Xing) + 27.8% Balkans (Dodecad) @ 2.39
5 63.3% Tuscan (Henn) + 36.7% Romanians_14 (Behar) @ 2.46
6 71.5% Greek (Dodecad) + 28.5% Swedish (Dodecad) @ 2.46
7 70.9% S_Italian_Sicilian (Dodecad) + 29.1% FIN (1000Genomes) @ 2.57
8 72.2% Greek (Dodecad) + 27.8% Norwegian (Dodecad) @ 2.61
9 69% TSI (HapMap) + 31% Balkans (Dodecad) @ 2.63
10 77.5% C_Italian (Dodecad) + 22.5% Finnish (Dodecad) @ 2.75
11 52.2% German (Dodecad) + 47.8% Cypriots (Behar) @ 2.8
12 67.4% S_Italian (Dodecad) + 32.6% FIN (1000Genomes) @ 2.83
13 51% Slovenian (Xing) + 49% S_Italian (Dodecad) @ 2.89
14 88.2% Tuscan (Xing) + 11.8% Belorussian (Behar) @ 2.89
15 70.3% Tuscan (Henn) + 29.7% Balkans (Dodecad) @ 2.93
16 63% Greek (Dodecad) + 37% N._European (Xing) @ 2.93
17 90% Tuscan (Xing) + 10% Lithuanian (Dodecad) @ 3.12
18 89.7% Tuscan (Xing) + 10.3% Lithuanians (Behar) @ 3.22
19 86.5% TSI (HapMap) + 13.5% Belorussian (Behar) @ 3.25
20 87.5% Tuscan (Xing) + 12.5% Russian (Dodecad) @ 3.27

[Freeroostah]

1 Mediterranean 31.69
2 West_European 25.48
3 West_Asian 20.89
4 East_European 11.32
5 Southwest_Asian 8.68
6 Northwest_African 1.23


1 Tuscan @ 9.708302
2 Ashkenazy_Jews @ 10.091282
3 Tuscan @ 10.688231
4 TSI @ 11.056102
5 Ashkenazi @ 11.841620
6 O_Italian @ 13.716779
7 Romanians_14 @ 14.759095
8 C_Italian @ 16.001949
9 Greek @ 18.115704
10 Tuscan @ 18.693789
11 Morocco_Jews @ 18.798719
12 S_Italian_Sicilian @ 19.017426
13 N_Italian @ 19.136654
14 Balkans @ 19.612663
15 Sicilian @ 20.901882
16 S_Italian @ 22.456530
17 Slovenian @ 23.769863
18 Sephardic_Jews @ 23.895178
19 North_Italian @ 23.933853
20 Hungarians @ 24.794701


???????

[RN97]

The oracles seem the most accurate for me compared to the other calcs

# Population Percent
1 West_European 42.49
2 Mediterranean 27.57
3 West_Asian 13.05
4 East_European 12.29
5 Southwest_Asian 1.82
6 South_Asian 1.3
7 Northeast_Asian 0.91
8 Northwest_African 0.4
9 Neo_African 0.11
10 Southeast_Asian 0.05

Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 10.58
2 CEU (HapMap) 11.64
3 N._European (Xing) 12.37
4 German (Dodecad) 12.64
5 Argyll (1000 Genomes) 13.19
6 Orcadian (HGDP) 13.73
7 French (HGDP) 13.84
8 Orkney (1000 Genomes) 14.09
9 French (Dodecad) 14.11
10 Hungarians (Behar) 14.49
11 Tuscan (Xing) 17.34
12 Tuscan (Henn) 17.39
13 TSI (HapMap) 17.41
14 Mixed_Germanic (Dodecad) 17.9
15 N_Italian (Dodecad) 18.64
16 Dutch (Dodecad) 19.4
17 Portuguese (Dodecad) 20.84
18 Romanians_14 (Behar) 21.46
19 Kent (1000 Genomes) 21.55
20 Balkans (Dodecad) 21.55

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 52.7% Romanians_14 (Behar) + 47.3% Cornwall (1000 Genomes) @ 1.76
2 54.6% Mixed_Germanic (Dodecad) + 45.4% Romanians_14 (Behar) @ 1.87
3 55.1% Romanians_14 (Behar) + 44.9% Irish (Dodecad) @ 1.97
4 52.5% Dutch (Dodecad) + 47.5% Romanians_14 (Behar) @ 2
5 52.3% Romanians_14 (Behar) + 47.7% British (Dodecad) @ 2.02
6 71.1% Argyll (1000 Genomes) + 28.9% Greek (Dodecad) @ 2.06
7 50.1% Romanians_14 (Behar) + 49.9% Kent (1000 Genomes) @ 2.06
8 72.5% N._European (Xing) + 27.5% Greek (Dodecad) @ 2.11
9 55.5% Swedish (Dodecad) + 44.5% Greek (Dodecad) @ 2.17
10 52.2% Romanians_14 (Behar) + 47.8% British_Isles (Dodecad) @ 2.2
11 54.2% Norwegian (Dodecad) + 45.8% Greek (Dodecad) @ 2.59
12 74.3% German (Dodecad) + 25.7% S_Italian (Dodecad) @ 2.63
13 58.1% German (Dodecad) + 41.9% Tuscan (Xing) @ 2.72
14 72.6% German (Dodecad) + 27.4% S_Italian_Sicilian (Dodecad) @ 2.82
15 69.2% German (Dodecad) + 30.8% C_Italian (Dodecad) @ 2.9
16 58.3% German (Dodecad) + 41.7% TSI (HapMap) @ 2.91
17 69.9% Orkney (1000 Genomes) + 30.1% Greek (Dodecad) @ 2.99
18 64.7% German (Dodecad) + 35.3% O_Italian (Dodecad) @ 3.13
19 78.5% CEU (HapMap) + 21.5% Turkish (Dodecad) @ 3.13
20 73.6% German (Dodecad) + 26.4% Sicilian (Dodecad) @ 3.14

[Karol Klačansky]

1West_European46.5
2East_European22.7
3Mediterranean20.96
4West_Asian6.66
5Southwest_Asian1.47
6Southeast_Asian0.68
7Northeast_Asian0.49
8East_African0.36
9Northwest_African0.19
Single Population Sharing:

#Population (source)Distance1Slovenian (Xing)72German (Dodecad)7.763Hungarians (Behar)10.154N._European (Xing)13.025CEU (HapMap)13.166Argyll (1000 Genomes)13.287Orcadian (HGDP)14.158Orkney (1000 Genomes)14.299FIN (1000Genomes)17.5910Mixed_Germanic (Dodecad)19.911Swedish (Dodecad)20.8412French (Dodecad)20.9713French (HGDP)21.3514Dutch (Dodecad)21.4115Balkans (Dodecad)22.7116Polish (Dodecad)22.9217Kent (1000 Genomes)23.3518Mixed_Slav (Dodecad)23.5819Norwegian (Dodecad)23.6920Finnish (Dodecad)23.74
Mixed Mode Population Sharing:

#Primary Population (source)Secondary Population (source)Distance164.5%N._European (Xing)+35.5%Mixed_Slav (Dodecad)@1.07267.4%Hungarians (Behar)+32.6%Swedish (Dodecad)@1.17363.8%N._European (Xing)+36.2%Polish (Dodecad)@1.18472.8%N._European (Xing)+27.2%Belorussian (Behar)@1.22568.5%CEU (HapMap)+31.5%Russian (Dodecad)@1.29664.3%CEU (HapMap)+35.7%Mixed_Slav (Dodecad)@1.4762.6%Orcadian (HGDP)+37.4%Mixed_Slav (Dodecad)@1.67864.1%Argyll (1000 Genomes)+35.9%Mixed_Slav (Dodecad)@1.67975.6%German (Dodecad)+24.4%Mixed_Slav (Dodecad)@1.691062.4%Orkney (1000 Genomes)+37.6%Mixed_Slav (Dodecad)@1.721170.3%Hungarians (Behar)+29.7%Norwegian (Dodecad)@1.891252.4%Dutch (Dodecad)+47.6%Mixed_Slav (Dodecad)@1.991372.7%CEU (HapMap)+27.3%Belorussian (Behar)@2.031463.7%CEU (HapMap)+36.3%Polish (Dodecad)@2.071563.5%Argyll (1000 Genomes)+36.5%Polish (Dodecad)@2.081672.5%Argyll (1000 Genomes)+27.5%Belorussian (Behar)@2.091775.4%German (Dodecad)+24.6%Polish (Dodecad)@2.171882.3%German (Dodecad)+17.7%Belorussian (Behar)@2.221970.9%CEU (HapMap)+29.1%Russian (HGDP)@2.32067.1%Orcadian (HGDP)+32.9%Russian (Dodecad)@2.3

[oszkar07]

Admix Results (sorted):

# Population Percent
1 West_European 44.41
2 Mediterranean 24.79
3 East_European 18.04
4 West_Asian 9.50
5 Southwest_Asian 2.07
6 Northeast_Asian 1.02


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

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

Least-squares method.

Using 1 population approximation:
1 Slovenian @ 6.444138
2 German @ 9.322181
3 Hungarians @ 11.309505
4 CEU @ 12.042738
5 N._European @ 12.521637
6 Argyll @ 13.204844
7 Orcadian @ 14.021929
8 Orkney @ 14.358415
9 French @ 18.416605
10 French @ 18.633238
11 Mixed_Germanic @ 20.188581
12 Dutch @ 21.906229
13 Balkans @ 23.120493
14 Kent @ 24.279341
15 Romanians_14 @ 25.146267
16 Swedish @ 25.408583
17 Tuscan @ 25.510590
18 FIN @ 25.530970
19 Tuscan @ 25.576693
20 TSI @ 25.837616

Using 2 populations approximation:
1 50% Romanians_14 +50% Swedish @ 1.721385


Using 3 populations approximation:
1 50% Balkans +25% Mixed_Germanic +25% Norwegian @ 0.886980


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++
1 FIN + German + Greek + Orcadian @ 0.821106
2 FIN + German + Greek + Orkney @ 0.856377
3 Balkans + Balkans + Mixed_Germanic + Norwegian @ 0.886980
4 Balkans + German + Mixed_Germanic + Slovenian @ 0.903854
5 Balkans + Balkans + Dutch + Swedish @ 0.919385
6 C_Italian + Mixed_Slav + Orkney + Swedish @ 0.927122
7 C_Italian + Mixed_Slav + Orcadian + Swedish @ 0.930080
8 Balkans + Balkans + Kent + Swedish @ 0.984346
9 C_Italian + Polish + Swedish + Argyll @ 0.992020
10 CEU + FIN + German + Greek @ 1.021948
11 Cornwall + German + O_Italian + Russian @ 1.024309
12 FIN + German + Greek + Argyll @ 1.028945
13 British_Isles + German + O_Italian + Russian @ 1.032829
14 Balkans + Dutch + German + Slovenian @ 1.045186
15 CEU + Mixed_Slav + O_Italian + Swedish @ 1.050522
16 Mixed_Slav + Swedish + Tuscan + N._European @ 1.061845
17 British + German + O_Italian + Russian @ 1.074460
18 C_Italian + Mixed_Slav + Norwegian + Argyll @ 1.079464
19 Greek + Kent + Polish + Swedish @ 1.099992
20 Dutch + Greek + Norwegian + Polish @ 1.101671

[alnortedelsur]

With my 23AndMe raw data:

Admix Results (sorted):

# Population Percent
1 West_European 31.17
2 Mediterranean 29.62
3 West_Asian 10.33
4 East_European 7.96
5 Southwest_Asian 4.88
6 Northwest_African 4.81
7 Neo_African 3.08
8 Northeast_Asian 2.65
9 Southeast_Asian 2.49
10 Palaeo_African 2.05
11 East_African 0.98

Single Population Sharing:

# Population (source) Distance
1 Tuscan (Xing) 12.26
2 Tuscan (Henn) 12.65
3 TSI (HapMap) 13.29
4 N_Italian (Dodecad) 16.16
5 O_Italian (Dodecad) 16.62
6 Slovenian (Xing) 17.74
7 Portuguese (Dodecad) 18.19
8 Ashkenazy_Jews (Behar) 18.19
9 Romanians_14 (Behar) 18.65
10 Hungarians (Behar) 19.65
11 Ashkenazi (Dodecad) 19.65
12 Tuscan (HGDP) 19.98
13 North_Italian (HGDP) 20.34
14 Balkans (Dodecad) 20.63
15 French (Dodecad) 21.02
16 C_Italian (Dodecad) 21.05
17 French (HGDP) 21.06
18 IBS (1000Genomes) 21.26
19 Spanish (Dodecad) 21.92
20 Spaniards (Behar) 22.09

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 50.5% German (Dodecad) + 49.5% Morocco_Jews (Behar) @ 8.09
2 55.7% German (Dodecad) + 44.3% Sephardic_Jews (Behar) @ 8.09
3 62% CEU (HapMap) + 38% Egypt (Henn) @ 8.1
4 56.5% N._European (Xing) + 43.5% Sephardic_Jews (Behar) @ 8.29
5 82.2% Tuscan (Xing) + 17.8% Finnish (Dodecad) @ 8.31
6 80.3% Tuscan (Xing) + 19.7% FIN (1000Genomes) @ 8.34
7 51.9% CEU (HapMap) + 48.1% Morocco_Jews (Behar) @ 8.35
8 71.8% O_Italian (Dodecad) + 28.2% FIN (1000Genomes) @ 8.39
9 72.5% Portuguese (Dodecad) + 27.5% Uzbeks (Behar) @ 8.46
10 54.9% Argyll (1000 Genomes) + 45.1% Sephardic_Jews (Behar) @ 8.5
11 74.5% O_Italian (Dodecad) + 25.5% Finnish (Dodecad) @ 8.53
12 59.7% Orcadian (HGDP) + 40.3% Egypt (Henn) @ 8.54
13 64% French (Dodecad) + 36% Egypt (Henn) @ 8.54
14 57.1% CEU (HapMap) + 42.9% Sephardic_Jews (Behar) @ 8.54
15 55.8% Sephardic_Jews (Behar) + 44.2% Swedish (Dodecad) @ 8.58
16 50.8% Morocco_Jews (Behar) + 49.2% Orcadian (HGDP) @ 8.6
17 51.1% Morocco_Jews (Behar) + 48.9% Orkney (1000 Genomes) @ 8.62
18 81.8% Tuscan (Henn) + 18.2% Finnish (Dodecad) @ 8.62
19 50.4% Morocco_Jews (Behar) + 49.6% Argyll (1000 Genomes) @ 8.63
20 54.2% Orkney (1000 Genomes) + 45.8% Sephardic_Jews (Behar) @ 8.66

[alnortedelsur]

With my Ancestry DNA raw data:

Admix Results (sorted):

# Population Percent
1 Mediterranean 30.65
2 West_European 30.43
3 West_Asian 10.81
4 East_European 7.37
5 Southwest_Asian 4.73
6 Northwest_African 4.22
7 Northeast_Asian 3.26
8 Neo_African 3.01
9 Southeast_Asian 2.27
10 Palaeo_African 1.89
11 East_African 1.36

Single Population Sharing:

# Population (source) Distance
1 Tuscan (Xing) 11.33
2 Tuscan (Henn) 11.77
3 TSI (HapMap) 12.39
4 N_Italian (Dodecad) 15.28
5 O_Italian (Dodecad) 15.45
6 Ashkenazy_Jews (Behar) 17.38
7 Portuguese (Dodecad) 17.91
8 Romanians_14 (Behar) 18.44
9 Slovenian (Xing) 18.67
10 Tuscan (HGDP) 18.77
11 Ashkenazi (Dodecad) 18.77
12 North_Italian (HGDP) 19.38
13 C_Italian (Dodecad) 19.84
14 Hungarians (Behar) 20.44
15 IBS (1000Genomes) 20.78
16 Balkans (Dodecad) 20.78
17 French (Dodecad) 21.38
18 French (HGDP) 21.41
19 Spanish (Dodecad) 21.48
20 Spaniards (Behar) 21.67

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 72.6% Portuguese (Dodecad) + 27.4% Uzbeks (Behar) @ 7.94
2 53.5% German (Dodecad) + 46.5% Sephardic_Jews (Behar) @ 8.02
3 54.3% N._European (Xing) + 45.7% Sephardic_Jews (Behar) @ 8.06
4 74.2% O_Italian (Dodecad) + 25.8% FIN (1000Genomes) @ 8.12
5 64.7% Portuguese (Dodecad) + 35.3% Stalskoe (Xing) @ 8.14
6 84.5% Tuscan (Xing) + 15.5% Finnish (Dodecad) @ 8.16
7 82.8% Tuscan (Xing) + 17.2% FIN (1000Genomes) @ 8.2
8 52.9% Argyll (1000 Genomes) + 47.1% Sephardic_Jews (Behar) @ 8.2
9 55% CEU (HapMap) + 45% Sephardic_Jews (Behar) @ 8.21
10 76.6% O_Italian (Dodecad) + 23.4% Finnish (Dodecad) @ 8.24
11 52.2% Orkney (1000 Genomes) + 47.8% Sephardic_Jews (Behar) @ 8.32
12 51.7% Morocco_Jews (Behar) + 48.3% German (Dodecad) @ 8.33
13 50.2% Morocco_Jews (Behar) + 49.8% CEU (HapMap) @ 8.33
14 52.6% Orcadian (HGDP) + 47.4% Sephardic_Jews (Behar) @ 8.36
15 84.7% Tuscan (Henn) + 15.3% Chuvashs_16 (Behar) @ 8.37
16 63.2% French (Dodecad) + 36.8% Egypt (Henn) @ 8.37
17 60.6% Sicilian (Dodecad) + 39.4% Swedish (Dodecad) @ 8.41
18 51.2% N._European (Xing) + 48.8% Sicilian (Dodecad) @ 8.48
19 57.5% Sephardic_Jews (Behar) + 42.5% Swedish (Dodecad) @ 8.5
20 84% Tuscan (Henn) + 16% Finnish (Dodecad) @ 8.53

[Hamlet]

Not sure if I've posted yet but I really like Dodecad V3 so will do anyway:

Admix Results (sorted):

# Population Percent
1 Mediterranean 31.67
2 West_Asian 22.97
3 West_European 18.45
4 Southwest_Asian 12.77
5 East_European 5.44
6 Northwest_African 4.49
7 East_African 1.43
8 Southeast_Asian 1.17


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

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

Least-squares method.

Using 1 population approximation:
1 Ashkenazy_Jews_Behar @ 2.798907
2 Ashkenazi_Dodecad @ 4.144061
3 Morocco_Jews_Behar @ 8.559156
4 S_Italian_Sicilian_Dodecad @ 14.379622
5 Tuscan_Xing @ 14.575018
6 C_Italian_Dodecad @ 15.175792
7 Tuscan_Henn @ 15.478760
8 O_Italian_Dodecad @ 15.856699
9 TSI_HapMap @ 15.877934
10 Sephardic_Jews_Behar @ 16.217377
11 Sicilian_Dodecad @ 16.616011
12 Greek_Dodecad @ 17.164944
13 S_Italian_Dodecad @ 17.693886
14 Tuscan_HGDP @ 20.982126
15 Uzbekistan_Jews_Behar @ 22.422798
16 Romanians_14_Behar @ 22.601534
17 Turkish_Dodecad @ 22.612209
18 Palestinian_HGDP @ 22.989201
19 Lebanese_Behar @ 23.207785
20 Georgia_Jews_Behar @ 24.061718

Using 2 populations approximation:
1 50% Ashkenazy_Jews_Behar +50% Ashkenazy_Jews_Behar @ 2.798907


Using 3 populations approximation:
1 50% Morocco_Jews_Behar +25% Samaritians_Behar +25% Slovenian_Xing @ 2.613215


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++
1 Druze_HGDP + Morocco_Jews_Behar + Morocco_Jews_Behar + Slovenian_Xing @ 2.403971
2 Georgia_Jews_Behar + German_Dodecad + Morocco_Jews_Behar + Sephardic_Jews_Behar @ 2.427428
3 Ashkenazi_Dodecad + Morocco_Jews_Behar + Samaritians_Behar + Slovenian_Xing @ 2.453931
4 Assyrian_Dodecad + French_Dodecad + Greek_Dodecad + Libya_Henn @ 2.486155
5 Ashkenazy_Jews_Behar + Morocco_Jews_Behar + Samaritians_Behar + Slovenian_Xing @ 2.535480
6 German_Dodecad + Lebanese_Behar + Morocco_Jews_Behar + Sephardic_Jews_Behar @ 2.543883
7 Assyrian_Dodecad + French_HGDP + Greek_Dodecad + Libya_Henn @ 2.576176
8 Morocco_Jews_Behar + Morocco_Jews_Behar + Samaritians_Behar + Slovenian_Xing @ 2.613215
9 Druze_HGDP + German_Dodecad + Morocco_Jews_Behar + Sephardic_Jews_Behar @ 2.657397
10 German_Dodecad + Iranian_Jews_Behar + Morocco_Jews_Behar + Sephardic_Jews_Behar @ 2.680864
11 German_Dodecad + Iraq_Jews_Behar + Morocco_Jews_Behar + Sephardic_Jews_Behar @ 2.701758
12 Lebanese_Behar + Morocco_Jews_Behar + Morocco_Jews_Behar + Slovenian_Xing @ 2.730644
13 Georgia_Jews_Behar + Morocco_Jews_Behar + Morocco_Jews_Behar + Slovenian_Xing @ 2.756754
14 Morocco_Jews_Behar + Palestinian_HGDP + S_Italian_Sicilian_Dodecad + Slovenian_Xing @ 2.766949
15 CEU_HapMap + Sephardic_Jews_Behar + Turkish_Dodecad + Egypt_Henn @ 2.789086
16 Georgia_Jews_Behar + Palestinian_HGDP + Portuguese_Dodecad + Romanians_14_Behar @ 2.797512
17 Ashkenazy_Jews_Behar + Ashkenazy_Jews_Behar + Ashkenazy_Jews_Behar + Ashkenazy_Jews_Behar @ 2.798907
18 Orcadian_HGDP + Sephardic_Jews_Behar + Turkish_Dodecad + Egypt_Henn @ 2.829742
19 Ashkenazy_Jews_Behar + Ashkenazy_Jews_Behar + Ashkenazy_Jews_Behar + Morocco_Jews_Behar @ 2.830058
20 TSI_HapMap + Turkish_Dodecad + Libya_Henn + Tuscan_Henn @ 2.846471

[MercifulServant]

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

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

Least-squares method.

Using 1 population approximation:
1 Hungarians_Behar @ 10.471856
2 Balkans_Dodecad @ 10.674083
3 Slovenian_Xing @ 10.747798
4 Romanians_14_Behar @ 11.943199
5 Tuscan_Xing @ 21.162283
6 Tuscan_Henn @ 21.670565
7 TSI_HapMap @ 22.141909
8 German_Dodecad @ 24.154131
9 Ashkenazy_Jews_Behar @ 25.051830
10 N_Italian_Dodecad @ 25.286247
11 O_Italian_Dodecad @ 25.897732
12 CEU_HapMap @ 26.593864
13 Mixed_Slav_Dodecad @ 26.604298
14 N._European_Xing @ 26.937225
15 Ashkenazi_Dodecad @ 26.962946
16 Polish_Dodecad @ 27.256023
17 Argyll_1000 Genomes @ 27.889559
18 Orcadian_HGDP @ 28.753887
19 Orkney_1000 Genomes @ 29.116516
20 Greek_Dodecad @ 29.205652

Using 2 populations approximation:
1 50% Mixed_Slav_Dodecad +50% TSI_HapMap @ 3.791969


Using 3 populations approximation:
1 50% Greek_Dodecad +25% Russian_HGDP +25% Swedish_Dodecad @ 2.278745


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++
1 Cypriots_Behar + Irish_Dodecad + Lithuanians_Behar + Romanians_14_Behar @ 0.997099
2 Balkans_Dodecad + Cypriots_Behar + Mixed_Slav_Dodecad + Swedish_Dodecad @ 1.155217
3 Cypriots_Behar + Irish_Dodecad + Lithuanian_Dodecad + Romanians_14_Behar @ 1.212362
4 Cornwall_1000 Genomes + Cypriots_Behar + Lithuanians_Behar + Romanians_14_Behar @ 1.266119
5 British_Isles_Dodecad + Cypriots_Behar + Lithuanians_Behar + Romanians_14_Behar @ 1.268040
6 Cornwall_1000 Genomes + Cypriots_Behar + Lithuanian_Dodecad + Romanians_14_Behar @ 1.295013
7 Assyrian_Dodecad + French_Basque_HGDP + Hungarians_Behar + Lithuanians_Behar @ 1.324533
8 British_Dodecad + Cypriots_Behar + Lithuanians_Behar + Romanians_14_Behar @ 1.363175
9 Assyrian_Dodecad + French_Basque_HGDP + Hungarians_Behar + Lithuanian_Dodecad @ 1.400691
10 British_Dodecad + Cypriots_Behar + Lithuanian_Dodecad + Romanians_14_Behar @ 1.492240
11 Cypriots_Behar + German_Dodecad + Mixed_Slav_Dodecad + Slovenian_Xing @ 1.506546
12 British_Isles_Dodecad + Cypriots_Behar + Lithuanian_Dodecad + Romanians_14_Behar @ 1.521488
13 Ashkenazy_Jews_Behar + Greek_Dodecad + Lithuanian_Dodecad + Mixed_Germanic_Dodecad @ 1.531545
14 Armenian_Dodecad + French_Basque_HGDP + Hungarians_Behar + Lithuanian_Dodecad @ 1.539485
15 Balkans_Dodecad + Cypriots_Behar + Polish_Dodecad + Swedish_Dodecad @ 1.540314
16 Cypriots_Behar + Kent_1000 Genomes + Lithuanians_Behar + Romanians_14_Behar @ 1.591037
17 Balkans_Dodecad + Cornwall_1000 Genomes + Cypriots_Behar + Lithuanians_Behar @ 1.645423
18 German_Dodecad + Lithuanians_Behar + N_Italian_Dodecad + Turkish_Dodecad @ 1.664885
19 Armenian_Dodecad + French_Basque_HGDP + Hungarians_Behar + Lithuanians_Behar @ 1.667070
20 Assyrian_Dodecad + French_Basque_HGDP + Polish_Dodecad + Polish_Dodecad @ 1.670253

Done.

[Bosniensis]

I descended from Attila


# Population Percent
1 West_European 31.2
2 Mediterranean 26.24
3 East_European 21.45
4 West_Asian 15.23
5 Southwest_Asian 3.37
6 Northwest_African 0.89
7 South_Asian 0.64
8 Northeast_Asian 0.56
9 Southeast_Asian 0.3
10 Neo_African 0.08
11 Palaeo_African 0.04

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 9.37
2 Slovenian (Xing) 9.57
3 Balkans (Dodecad) 9.65
4 Romanians_14 (Behar) 10.46
5 Tuscan (Xing) 18.64
6 Tuscan (Henn) 19.18
7 TSI (HapMap) 19.55
8 German (Dodecad) 21.5
9 Ashkenazy_Jews (Behar) 22.25
10 N_Italian (Dodecad) 22.32
11 O_Italian (Dodecad) 22.92
12 CEU (HapMap) 23.53
13 N._European (Xing) 23.91
14 Ashkenazi (Dodecad) 23.99
15 Mixed_Slav (Dodecad) 24.57
16 Argyll (1000 Genomes) 24.72
17 Polish (Dodecad) 25.1
18 Orcadian (HGDP) 25.48
19 Orkney (1000 Genomes) 25.81
20 Greek (Dodecad) 25.88

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 83.6% Hungarians (Behar) + 16.4% Armenian (Dodecad) @ 1.2
2 83.7% Hungarians (Behar) + 16.3% Assyrian (Dodecad) @ 1.31
3 81.6% Hungarians (Behar) + 18.4% Azerbaijan_Jews (Behar) @ 1.31
4 79% Hungarians (Behar) + 21% Turkish (Dodecad) @ 1.39
5 82% Hungarians (Behar) + 18% Druze (HGDP) @ 1.53
6 84.2% Hungarians (Behar) + 15.8% Armenians_16 (Behar) @ 1.73
7 82.4% Hungarians (Behar) + 17.6% Iraq_Jews (Behar) @ 1.84
8 82% Hungarians (Behar) + 18% Iranian_Jews (Behar) @ 1.87
9 80.7% Hungarians (Behar) + 19.3% Turks (Behar) @ 1.92
10 80% Hungarians (Behar) + 20% Uzbekistan_Jews (Behar) @ 1.98
11 81.2% Hungarians (Behar) + 18.8% Georgia_Jews (Behar) @ 1.98
12 60.7% TSI (HapMap) + 39.3% Russian (Dodecad) @ 2.35
13 55.8% TSI (HapMap) + 44.2% Mixed_Slav (Dodecad) @ 2.59
14 69% TSI (HapMap) + 31% Lithuanian (Dodecad) @ 2.59
15 80.9% Hungarians (Behar) + 19.1% Kurd (Dodecad) @ 2.61
16 57% Tuscan (Xing) + 43% Mixed_Slav (Dodecad) @ 2.63
17 61.8% Tuscan (Xing) + 38.2% Russian (Dodecad) @ 2.68
18 82.6% Hungarians (Behar) + 17.4% Samaritians (Behar) @ 2.73
19 70% Tuscan (Xing) + 30% Lithuanian (Dodecad) @ 2.75
20 67.8% TSI (HapMap) + 32.2% Lithuanians (Behar) @ 2.76

[Leto]

How about looking for existing topics? Why open a fourth one? :picard1:

https://www.theapricity.com/forum/showthread.php?233236-post-your-dodecad-V3-results
https://www.theapricity.com/forum/showthread.php?174319-Post-Your-Dodecad-V3-Results
https://www.theapricity.com/forum/showthread.php?206809-Post-Dodecad-v3-results

[Bobby Martnen]

Admix Results (sorted):

# Population Percent
1 West_European 43.4
2 Mediterranean 24.81
3 East_European 14.27
4 West_Asian 11.72
5 Southwest_Asian 4.71
6 South_Asian 0.75
7 Northwest_African 0.25
8 Palaeo_African 0.09

Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 8.66
2 German (Dodecad) 10.47
3 CEU (HapMap) 11.14
4 N._European (Xing) 11.16
5 Argyll (1000 Genomes) 12.38
6 Orcadian (HGDP) 13.12
7 Hungarians (Behar) 13.2
8 Orkney (1000 Genomes) 13.4
9 French (HGDP) 15.47
10 French (Dodecad) 15.59
11 Mixed_Germanic (Dodecad) 17.4
12 Dutch (Dodecad) 19.05
13 Tuscan (Henn) 19.68
14 Tuscan (Xing) 19.76
15 TSI (HapMap) 19.95
16 Kent (1000 Genomes) 21.26
17 Balkans (Dodecad) 21.72
18 N_Italian (Dodecad) 21.73
19 Romanians_14 (Behar) 22.41
20 British_Isles (Dodecad) 22.98

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 82.2% German (Dodecad) + 17.8% Cypriots (Behar) @ 1.18
2 72.3% German (Dodecad) + 27.7% Ashkenazy_Jews (Behar) @ 1.2
3 73.5% German (Dodecad) + 26.5% Ashkenazi (Dodecad) @ 1.32
4 82.4% German (Dodecad) + 17.6% Druze (HGDP) @ 1.38
5 82.5% German (Dodecad) + 17.5% Samaritians (Behar) @ 1.5
6 82.8% German (Dodecad) + 17.2% Iraq_Jews (Behar) @ 1.8
7 82% German (Dodecad) + 18% Lebanese (Behar) @ 1.82
8 82.5% German (Dodecad) + 17.5% Iranian_Jews (Behar) @ 1.98
9 77.1% German (Dodecad) + 22.9% Morocco_Jews (Behar) @ 2.02
10 81.8% German (Dodecad) + 18.2% Georgia_Jews (Behar) @ 2.12
11 82.3% German (Dodecad) + 17.7% Azerbaijan_Jews (Behar) @ 2.23
12 82% German (Dodecad) + 18% Palestinian (HGDP) @ 2.37
13 79.6% German (Dodecad) + 20.4% Sephardic_Jews (Behar) @ 2.38
14 80.9% German (Dodecad) + 19.1% Uzbekistan_Jews (Behar) @ 2.48
15 84.3% German (Dodecad) + 15.7% Assyrian (Dodecad) @ 2.63
16 82.7% German (Dodecad) + 17.3% Jordanians_19 (Behar) @ 2.66
17 59.2% Swedish (Dodecad) + 40.8% Greek (Dodecad) @ 2.69
18 82.7% German (Dodecad) + 17.3% Syrians (Behar) @ 2.71
19 80.7% German (Dodecad) + 19.3% Turkish (Dodecad) @ 2.72
20 77.6% German (Dodecad) + 22.4% S_Italian_Sicilian (Dodecad) @ 2.81

[MercifulServant]

Admix Results (sorted):

# Population Percent
1 West_European 31.35
2 Mediterranean 25.93
3 East_European 22.2
4 West_Asian 15.32
5 Southwest_Asian 4.47
6 Southeast_Asian 0.4
7 Northwest_African 0.23
8 Northeast_Asian 0.1

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 9.31
2 Slovenian (Xing) 9.58
3 Balkans (Dodecad) 9.63
4 Romanians_14 (Behar) 10.78
5 Tuscan (Xing) 19.22
6 Tuscan (Henn) 19.69
7 TSI (HapMap) 20.1
8 German (Dodecad) 21.58
9 Ashkenazy_Jews (Behar) 22.58
10 N_Italian (Dodecad) 22.99
11 O_Italian (Dodecad) 23.52
12 CEU (HapMap) 23.82
13 Mixed_Slav (Dodecad) 24.05
14 N._European (Xing) 24.14
15 Ashkenazi (Dodecad) 24.3
16 Polish (Dodecad) 24.57
17 Argyll (1000 Genomes) 24.98
18 Orcadian (HGDP) 25.75
19 Orkney (1000 Genomes) 26.07
20 Greek (Dodecad) 26.29

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 83.8% Hungarians (Behar) + 16.2% Assyrian (Dodecad) @ 1.07
2 82.1% Hungarians (Behar) + 17.9% Druze (HGDP) @ 1.51
3 81.8% Hungarians (Behar) + 18.2% Azerbaijan_Jews (Behar) @ 1.53
4 83.8% Hungarians (Behar) + 16.2% Armenian (Dodecad) @ 1.7
5 82.5% Hungarians (Behar) + 17.5% Iraq_Jews (Behar) @ 1.72
6 81.3% Hungarians (Behar) + 18.7% Georgia_Jews (Behar) @ 1.74
7 82.2% Hungarians (Behar) + 17.8% Iranian_Jews (Behar) @ 1.92
8 80.2% Hungarians (Behar) + 19.8% Uzbekistan_Jews (Behar) @ 2.19
9 79.5% Hungarians (Behar) + 20.5% Turkish (Dodecad) @ 2.21
10 84.5% Hungarians (Behar) + 15.5% Armenians_16 (Behar) @ 2.24
11 68% TSI (HapMap) + 32% Lithuanian (Dodecad) @ 2.3
12 82.6% Hungarians (Behar) + 17.4% Samaritians (Behar) @ 2.44
13 66.8% TSI (HapMap) + 33.2% Lithuanians (Behar) @ 2.53
14 59.6% TSI (HapMap) + 40.4% Russian (Dodecad) @ 2.55
15 81.1% Hungarians (Behar) + 18.9% Kurd (Xing) @ 2.58
16 81.2% Hungarians (Behar) + 18.8% Turks (Behar) @ 2.58
17 69% Tuscan (Xing) + 31% Lithuanian (Dodecad) @ 2.62
18 67.8% Tuscan (Xing) + 32.2% Lithuanians (Behar) @ 2.72
19 54.5% TSI (HapMap) + 45.5% Mixed_Slav (Dodecad) @ 2.73
20 81.8% Hungarians (Behar) + 18.2% Lebanese (Behar) @ 2.73

[Kouros]

Admix Results (sorted):

# Population Percent
1 Mediterranean 31.13
2 West_European 24.14
3 West_Asian 22.44
4 East_European 12.53
5 Southwest_Asian 7.00
6 Northwest_African 2.14


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

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

Least-squares method.

Using 1 population approximation:
1 Ashkenazy_Jews_Behar @ 10.647604
2 Tuscan_Xing @ 11.788392
3 Ashkenazi_Dodecad @ 12.415627
4 Tuscan_Henn @ 12.985078
5 TSI_HapMap @ 13.070590
6 Romanians_14_Behar @ 13.716702
7 O_Italian_Dodecad @ 15.127705
8 C_Italian_Dodecad @ 16.702595
9 Greek_Dodecad @ 17.149382
10 Balkans_Dodecad @ 18.854275
11 Morocco_Jews_Behar @ 19.145058
12 S_Italian_Sicilian_Dodecad @ 19.285480
13 Tuscan_HGDP @ 19.867828
14 N_Italian_Dodecad @ 20.808502
15 Sicilian_Dodecad @ 20.936989
16 S_Italian_Dodecad @ 22.331451
17 Sephardic_Jews_Behar @ 24.036369
18 Slovenian_Xing @ 24.305962
19 Stalskoe_Xing @ 25.024096
20 Hungarians_Behar @ 25.030119

Using 2 populations approximation:
1 50% Ashkenazy_Jews_Behar +50% Romanians_14_Behar @ 4.859839


Using 3 populations approximation:
1 50% Cypriots_Behar +25% Mixed_Germanic_Dodecad +25% Mixed_Slav_Dodecad @ 3.090215


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++
1 Armenian_Dodecad + French_HGDP + Polish_Dodecad + Sephardic_Jews_Behar @ 1.437178
2 Armenian_Dodecad + Ashkenazi_Dodecad + Mixed_Slav_Dodecad + Spaniards_Behar @ 1.438251
3 Armenians_16_Behar + Ashkenazi_Dodecad + Polish_Dodecad + Portuguese_Dodecad @ 1.456777
4 Armenian_Dodecad + French_HGDP + Mixed_Slav_Dodecad + Sephardic_Jews_Behar @ 1.471712
5 Armenian_Dodecad + Ashkenazy_Jews_Behar + Mixed_Slav_Dodecad + Spaniards_Behar @ 1.494345
6 Armenian_Dodecad + Ashkenazy_Jews_Behar + IBS_1000Genomes + Mixed_Slav_Dodecad @ 1.499342
7 Armenian_Dodecad + Ashkenazi_Dodecad + IBS_1000Genomes + Mixed_Slav_Dodecad @ 1.545521
8 Armenian_Dodecad + Ashkenazi_Dodecad + Mixed_Slav_Dodecad + Portuguese_Dodecad @ 1.553771
9 Armenian_Dodecad + Ashkenazi_Dodecad + Mixed_Slav_Dodecad + Spanish_Dodecad @ 1.593762
10 Armenians_16_Behar + Ashkenazi_Dodecad + Mixed_Slav_Dodecad + Spaniards_Behar @ 1.604450
11 Armenian_Dodecad + Ashkenazy_Jews_Behar + Mixed_Slav_Dodecad + Spanish_Dodecad @ 1.620397
12 Armenians_16_Behar + French_HGDP + Polish_Dodecad + Sephardic_Jews_Behar @ 1.627594
13 Armenian_Dodecad + French_Dodecad + Mixed_Slav_Dodecad + Sephardic_Jews_Behar @ 1.628017
14 Armenians_16_Behar + Ashkenazi_Dodecad + Mixed_Slav_Dodecad + Spanish_Dodecad @ 1.628930
15 Armenian_Dodecad + Ashkenazi_Dodecad + Polish_Dodecad + Portuguese_Dodecad @ 1.630718
16 Armenians_16_Behar + French_Dodecad + Polish_Dodecad + Sephardic_Jews_Behar @ 1.636911
17 Armenians_16_Behar + Ashkenazy_Jews_Behar + Mixed_Slav_Dodecad + Spanish_Dodecad @ 1.660464
18 Armenians_16_Behar + Ashkenazy_Jews_Behar + Mixed_Slav_Dodecad + Spaniards_Behar @ 1.690744
19 Armenians_16_Behar + Ashkenazi_Dodecad + Mixed_Slav_Dodecad + Portuguese_Dodecad @ 1.703671
20 Armenians_16_Behar + Ashkenazi_Dodecad + IBS_1000Genomes + Mixed_Slav_Dodecad @ 1.710147

[ovidiu]

Admix Results (sorted):

# Population Percent
1 Mediterranean 31.15
2 West_European 27.81
3 West_Asian 18.61
4 East_European 16.15
5 Southwest_Asian 5.2
6 Southeast_Asian 0.79
7 Northeast_Asian 0.16
8 Palaeo_African 0.14

Single Population Sharing:

# Population (source) Distance
1 Romanians_14 (Behar) 8.95
2 Tuscan (Xing) 12
3 Balkans (Dodecad) 12.37
4 Tuscan (Henn) 12.72
5 TSI (HapMap) 13
6 Ashkenazy_Jews (Behar) 15.2
7 O_Italian (Dodecad) 15.65
8 Slovenian (Xing) 16.25
9 Hungarians (Behar) 16.57
10 Ashkenazi (Dodecad) 16.75
11 N_Italian (Dodecad) 17.3
12 C_Italian (Dodecad) 18.3
13 Greek (Dodecad) 18.78
14 Tuscan (HGDP) 19.04
15 S_Italian_Sicilian (Dodecad) 21.78
16 North_Italian (HGDP) 21.93
17 Morocco_Jews (Behar) 22.86
18 Sicilian (Dodecad) 22.89
19 S_Italian (Dodecad) 24.49
20 Portuguese (Dodecad) 25.44

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 67.4% Slovenian (Xing) + 32.6% Cypriots (Behar) @ 2.13
2 53.7% Slovenian (Xing) + 46.3% Greek (Dodecad) @ 2.96
3 67.8% Greek (Dodecad) + 32.2% FIN (1000Genomes) @ 3.23
4 60.4% Slovenian (Xing) + 39.6% S_Italian (Dodecad) @ 3.28
5 50.3% Hungarians (Behar) + 49.7% Ashkenazi (Dodecad) @ 3.33
6 52.3% Ashkenazy_Jews (Behar) + 47.7% Hungarians (Behar) @ 3.57
7 63.4% S_Italian (Dodecad) + 36.6% Finnish (Dodecad) @ 3.61
8 57.6% Slovenian (Xing) + 42.4% S_Italian_Sicilian (Dodecad) @ 3.69
9 50.9% Tuscan (Xing) + 49.1% Balkans (Dodecad) @ 3.72
10 51.3% Balkans (Dodecad) + 48.7% TSI (HapMap) @ 3.76
11 67.3% Hungarians (Behar) + 32.7% Cypriots (Behar) @ 3.79
12 78.4% Tuscan (Xing) + 21.6% Belorussian (Behar) @ 3.85
13 57.1% Hungarians (Behar) + 42.9% S_Italian_Sicilian (Dodecad) @ 3.92
14 66.2% S_Italian_Sicilian (Dodecad) + 33.8% Finnish (Dodecad) @ 3.93
15 77% TSI (HapMap) + 23% Belorussian (Behar) @ 3.97
16 81.6% Tuscan (Xing) + 18.4% Lithuanian (Dodecad) @ 3.99
17 58.9% Slovenian (Xing) + 41.1% Sicilian (Dodecad) @ 4.02
18 73% O_Italian (Dodecad) + 27% Russian (HGDP) @ 4.04
19 50.8% Balkans (Dodecad) + 49.2% Tuscan (Henn) @ 4.11
20 76.7% Tuscan (Xing) + 23.3% Russian (Dodecad) @ 4.16

[Kelmendasi]

# Population Percent
1 Mediterranean 37.23
2 West_European 24.47
3 West_Asian 18.97
4 East_European 12.14
5 Southwest_Asian 6.68
6 Northwest_African 0.51

Single Population Sharing:

# Population (source) Distance
1 Tuscan (Xing) 8.28
2 Tuscan (Henn) 8.94
3 O_Italian (Dodecad) 9.33
4 TSI (HapMap) 9.34
5 C_Italian (Dodecad) 11.08
6 Ashkenazy_Jews (Behar) 11.21
7 Romanians_14 (Behar) 11.81
8 Ashkenazi (Dodecad) 12.18
9 Tuscan (HGDP) 12.61
10 Greek (Dodecad) 13.03
11 N_Italian (Dodecad) 13.68
12 S_Italian_Sicilian (Dodecad) 14.82
13 Sicilian (Dodecad) 15.85
14 Balkans (Dodecad) 16.79
15 North_Italian (HGDP) 17.48
16 S_Italian (Dodecad) 17.63
17 Morocco_Jews (Behar) 17.92
18 Sephardic_Jews (Behar) 20.02
19 Slovenian (Xing) 22.67
20 Hungarians (Behar) 22.82

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 60.7% S_Italian_Sicilian (Dodecad) + 39.3% Hungarians (Behar) @ 1.45
2 56.3% S_Italian (Dodecad) + 43.7% Slovenian (Xing) @ 1.55
3 60.6% S_Italian_Sicilian (Dodecad) + 39.4% Slovenian (Xing) @ 1.91
4 77.8% C_Italian (Dodecad) + 22.2% Mixed_Slav (Dodecad) @ 2.11
5 59% Sicilian (Dodecad) + 41% Slovenian (Xing) @ 2.19
6 80.1% C_Italian (Dodecad) + 19.9% Russian (Dodecad) @ 2.22
7 78.1% C_Italian (Dodecad) + 21.9% Polish (Dodecad) @ 2.3
8 77.8% Greek (Dodecad) + 22.2% Swedish (Dodecad) @ 2.36
9 81.4% C_Italian (Dodecad) + 18.6% Russian (HGDP) @ 2.37
10 56.5% S_Italian (Dodecad) + 43.5% Hungarians (Behar) @ 2.38
11 71.1% Greek (Dodecad) + 28.9% N._European (Xing) @ 2.38
12 83.4% C_Italian (Dodecad) + 16.6% Lithuanians (Behar) @ 2.45
13 78.4% Greek (Dodecad) + 21.6% Norwegian (Dodecad) @ 2.46
14 56.2% O_Italian (Dodecad) + 43.8% Romanians_14 (Behar) @ 2.52
15 84% C_Italian (Dodecad) + 16% Lithuanian (Dodecad) @ 2.55
16 71% Greek (Dodecad) + 29% German (Dodecad) @ 2.55
17 72.3% S_Italian (Dodecad) + 27.7% FIN (1000Genomes) @ 2.77
18 70.6% Greek (Dodecad) + 29.4% CEU (HapMap) @ 2.81
19 82.1% C_Italian (Dodecad) + 17.9% Finnish (Dodecad) @ 2.81
20 67.9% C_Italian (Dodecad) + 32.1% Hungarians (Behar) @ 2.83

[myouss]

Admix Results (sorted):

# Population Percent
1 Southeast_Asian 37.96
2 West_Asian 17.85
3 Mediterranean 14.93
4 Southwest_Asian 10.56
5 Northeast_Asian 9.81
6 South_Asian 4.47
7 East_European 3.23
8 West_European 0.31
9 Neo_African 0.3
10 East_African 0.24
11 Northwest_African 0.18
12 Palaeo_African 0.16

Single Population Sharing:

# Population (source) Distance
1 Hazara (HGDP) 22.02
2 Uygur (HGDP) 22.08
3 Uzbeks (Behar) 27.02
4 Kyrgyzstani (Xing) 28.78
5 Mongol (Rasmussen) 36.61
6 Altai (Rasmussen) 38.16
7 Nepalese (Xing) 38.2
8 Mongola (HGDP) 40.83
9 Xibo (HGDP) 40.94
10 Tu (HGDP) 42.07
11 Buryat (Xing) 42.65
12 Daur (HGDP) 44.01
13 Thai (Xing) 44.46
14 Nysha (Reich) 44.64
15 Tuva (Rasmussen) 45.49
16 Turkish (Dodecad) 45.62
17 Hezhen (HGDP) 45.75
18 Japanese (Dodecad) 45.84
19 Lebanese (Behar) 46.2
20 Turks (Behar) 46.21

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 52.4% Nysha (Reich) + 47.6% Iraq_Jews (Behar) @ 3.35
2 52% Nysha (Reich) + 48% Iranian_Jews (Behar) @ 3.59
3 52.6% Nysha (Reich) + 47.4% Druze (HGDP) @ 3.61
4 50.9% Nysha (Reich) + 49.1% Lebanese (Behar) @ 3.69
5 53.9% Tu (HGDP) + 46.1% Iraq_Jews (Behar) @ 3.7
6 50.6% Aonaga (Reich) + 49.4% Iranian_Jews (Behar) @ 3.81
7 53.5% Tu (HGDP) + 46.5% Iranian_Jews (Behar) @ 3.81
8 51.5% Nysha (Reich) + 48.5% Georgia_Jews (Behar) @ 3.83
9 52.4% Tu (HGDP) + 47.6% Lebanese (Behar) @ 3.91
10 51% Aonaga (Reich) + 49% Iraq_Jews (Behar) @ 3.91
11 52.6% Nysha (Reich) + 47.4% Samaritians (Behar) @ 4.02
12 51.6% Iranian_Jews (Behar) + 48.4% Chinese (Dodecad) @ 4.13
13 51.5% Iranian_Jews (Behar) + 48.5% Naxi (HGDP) @ 4.15
14 50.5% Lebanese (Behar) + 49.5% Aonaga (Reich) @ 4.17
15 54.1% Tu (HGDP) + 45.9% Samaritians (Behar) @ 4.23
16 50.1% Aonaga (Reich) + 49.9% Georgia_Jews (Behar) @ 4.25
17 54.1% Tu (HGDP) + 45.9% Druze (HGDP) @ 4.29
18 53% Tu (HGDP) + 47% Georgia_Jews (Behar) @ 4.32
19 51.7% Iranian_Jews (Behar) + 48.3% Yizu (HGDP) @ 4.32
20 52.6% Lebanese (Behar) + 47.4% Naxi (HGDP)

[Coastal Elite]

# Population Percent
1 West_European 42.76
2 Mediterranean 29.71
3 West_Asian 12.94
4 East_European 12.01
5 South_Asian 1.2
6 Southeast_Asian 0.89
7 Northeast_Asian 0.36
8 East_African 0.11
9 Southwest_Asian 0.02

Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 11.76
2 CEU (HapMap) 11.8
3 French (HGDP) 12.92
4 N._European (Xing) 13.08
5 French (Dodecad) 13.14
6 German (Dodecad) 13.46
7 Argyll (1000 Genomes) 13.56
8 Orcadian (HGDP) 13.87
9 Orkney (1000 Genomes) 14.28
10 Hungarians (Behar) 15.18
11 TSI (HapMap) 17.1
12 Tuscan (Xing) 17.16
13 Tuscan (Henn) 17.19
14 N_Italian (Dodecad) 17.22
15 Mixed_Germanic (Dodecad) 18.27
16 Portuguese (Dodecad) 19.56
17 Dutch (Dodecad) 19.58
18 Spaniards (Behar) 21.03
19 IBS (1000Genomes) 21.48
20 Romanians_14 (Behar) 21.51

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 70.3% Argyll (1000 Genomes) + 29.7% Greek (Dodecad) @ 1.93
2 69.2% Orkney (1000 Genomes) + 30.8% Greek (Dodecad) @ 2.22
3 69.8% Orcadian (HGDP) + 30.2% Greek (Dodecad) @ 2.22
4 73.3% CEU (HapMap) + 26.7% Greek (Dodecad) @ 2.47
5 52.8% Romanians_14 (Behar) + 47.2% Cornwall (1000 Genomes) @ 2.64
6 50.2% Romanians_14 (Behar) + 49.8% Kent (1000 Genomes) @ 2.74
7 52.4% Romanians_14 (Behar) + 47.6% British (Dodecad) @ 2.88
8 52.4% Dutch (Dodecad) + 47.6% Romanians_14 (Behar) @ 2.95
9 52.4% Romanians_14 (Behar) + 47.6% British_Isles (Dodecad) @ 3.1
10 71.3% N._European (Xing) + 28.7% Greek (Dodecad) @ 3.2
11 55.3% Romanians_14 (Behar) + 44.7% Irish (Dodecad) @ 3.35
12 54.2% Mixed_Germanic (Dodecad) + 45.8% Romanians_14 (Behar) @ 3.41
13 62.6% German (Dodecad) + 37.4% O_Italian (Dodecad) @ 3.6
14 72.1% Argyll (1000 Genomes) + 27.9% Sicilian (Dodecad) @ 3.61
15 67.5% German (Dodecad) + 32.5% C_Italian (Dodecad) @ 3.62
16 73% Argyll (1000 Genomes) + 27% S_Italian (Dodecad) @ 3.64
17 64.9% German (Dodecad) + 35.1% Tuscan (HGDP) @ 3.67
18 73.2% German (Dodecad) + 26.8% S_Italian (Dodecad) @ 3.87
19 53.3% Norwegian (Dodecad) + 46.7% Greek (Dodecad) @ 3.94
20 67.5% Argyll (1000 Genomes) + 32.5% C_Italian (Dodecad) @ 3.96

[Grace O'Malley]

I've most probably already posted my results further back in this thread. I've never found Dodecad very good but this one is not too bad as my no 1 is Argyle. The problem is that Irish is No 17. For whatever reason the samples Dodecad has for Irish doesn't match Irish people from results I've seen. Also there shouldn't be such a gap between places like Argyle, Orkney, British Isles, Cornwall, Irish etc. Who can explain that?

# Population Percent
1 West_European 55.74
2 Mediterranean 22.67
3 East_European 13.02
4 West_Asian 7.79
5 Southwest_Asian 0.41
6 South_Asian 0.37

Single Population Sharing:

# Population (source) Distance
1 Argyll (1000 Genomes) 1.62
2 Orkney (1000 Genomes) 2.67
3 Orcadian (HGDP) 2.75
4 N._European (Xing) 3.04
5 CEU (HapMap) 3.67
6 German (Dodecad) 4.74
7 Mixed_Germanic (Dodecad) 7.97
8 Dutch (Dodecad) 9.3
9 Kent (1000 Genomes) 11.17
10 British_Isles (Dodecad) 12.51
11 Swedish (Dodecad) 12.82
12 British (Dodecad) 12.93
13 French (HGDP) 13.62
14 Cornwall (1000 Genomes) 13.64
15 French (Dodecad) 13.92
16 Norwegian (Dodecad) 14.17
17 Irish (Dodecad) 15.17
18 Slovenian (Xing) 16.74
19 Hungarians (Behar) 20.9
20 FIN (1000Genomes) 22.1

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 96% Argyll (1000 Genomes) + 4% Finnish (Dodecad) @ 0.94
2 97.6% Argyll (1000 Genomes) + 2.4% Lithuanian (Dodecad) @ 0.98
3 94.5% Argyll (1000 Genomes) + 5.5% FIN (1000Genomes) @ 0.98
4 97.4% Argyll (1000 Genomes) + 2.6% Lithuanians (Behar) @ 0.99
5 78.7% Argyll (1000 Genomes) + 21.3% German (Dodecad) @ 1.03
6 97.4% Argyll (1000 Genomes) + 2.6% Russian (HGDP) @ 1.15
7 97.6% Argyll (1000 Genomes) + 2.4% Belorussian (Behar) @ 1.16
8 96.9% Argyll (1000 Genomes) + 3.1% Polish (Dodecad) @ 1.16
9 63.2% German (Dodecad) + 36.8% Mixed_Germanic (Dodecad) @ 1.18
10 97% Argyll (1000 Genomes) + 3% Mixed_Slav (Dodecad) @ 1.2
11 70.8% German (Dodecad) + 29.2% Kent (1000 Genomes) @ 1.24
12 66.8% German (Dodecad) + 33.2% Dutch (Dodecad) @ 1.28
13 79.4% Dutch (Dodecad) + 20.6% Mixed_Slav (Dodecad) @ 1.29
14 79.1% Dutch (Dodecad) + 20.9% Polish (Dodecad) @ 1.3
15 58% Irish (Dodecad) + 42% Hungarians (Behar) @ 1.34
16 93% Orcadian (HGDP) + 7% Finnish (Dodecad) @ 1.38
17 75% German (Dodecad) + 25% Cornwall (1000 Genomes) @ 1.4
18 94.2% Argyll (1000 Genomes) + 5.8% Swedish (Dodecad) @ 1.42
19 98.5% Argyll (1000 Genomes) + 1.5% Chuvashs_16 (Behar) @ 1.42
20 66.7% Orkney (1000 Genomes) + 33.3% German (Dodecad) @ 1.43

[Coastal Elite]

I've most probably already posted my results further back in this thread. I've never found Dodecad very good but this one is not too bad as my no 1 is Argyle. The problem is that Irish is No 17. For whatever reason the samples Dodecad has for Irish doesn't match Irish people from results I've seen. Also there shouldn't be such a gap between places like Argyle, Orkney, British Isles, Cornwall, Irish etc. Who can explain that?



Argyle was my #1 in mixed mode but you got it 1-9 and at 95% plus. I guess it's close to Ireland. This was a weird result for you: 15 58% Irish (Dodecad) + 42% Hungarians (Behar) @ 1.34.

[Grace O'Malley]

Argyle was my #1 in mixed mode but you got it 1-9 and at 95% plus. I guess it's close to Ireland. This was a weird result for you: 15 58% Irish (Dodecad) + 42% Hungarians (Behar) @ 1.34.

Argyle means border land of the Gael so not surprising that I would get that. A lot of Irish settled there i.e. Dalriada. It should be close to the Irish though and all my family members tested get either Orkney or Argyle as their no 1 on Dodecad V3 with Ireland very distant. I never come close to Ireland on Dodecad so I don't know what is going on there with that sample. I think the East European score I get is pulling me towards Eastern Europeans as my secondary population. Yours doesn't look too bad in mixed mode.

[Lemgrant]

Admix Results (sorted):

# Population Percent
1 West_European 40.76
2 East_European 31.44
3 Mediterranean 16.41
4 West_Asian 6.08
5 Northeast_Asian 1.53
6 Southwest_Asian 1.42
7 Southeast_Asian 1.31
8 South_Asian 1.06

Single Population Sharing:

# Population (source) Distance
1 Hungarians (Behar) 10.29
2 Slovenian (Xing) 11.17
3 Polish (Dodecad) 13.45
4 Mixed_Slav (Dodecad) 13.63
5 FIN (1000Genomes) 16.9
6 Finnish (Dodecad) 17.78
7 German (Dodecad) 17.88
8 Russian (Dodecad) 18.21
9 Balkans (Dodecad) 20.82
10 Russian (HGDP) 21.36
11 N._European (Xing) 23.15
12 Argyll (1000 Genomes) 23.43
13 CEU (HapMap) 23.53
14 Orcadian (HGDP) 24.41
15 Orkney (1000 Genomes) 24.51
16 Belorussian (Behar) 24.91
17 Romanians_14 (Behar) 25.4
18 Lithuanians (Behar) 28.04
19 Swedish (Dodecad) 28.42
20 Mixed_Germanic (Dodecad) 29.82

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 56% Russian (Dodecad) + 44% N._European (Xing) @ 1.47
2 56.4% Russian (Dodecad) + 43.6% CEU (HapMap) @ 1.55
3 56.3% Russian (Dodecad) + 43.7% Argyll (1000 Genomes) @ 1.94
4 50.5% German (Dodecad) + 49.5% Russian (Dodecad) @ 1.99
5 63.6% Hungarians (Behar) + 36.4% Finnish (Dodecad) @ 2.01
6 57.3% Russian (Dodecad) + 42.7% Orcadian (HGDP) @ 2.01
7 68.8% Mixed_Slav (Dodecad) + 31.2% Mixed_Germanic (Dodecad) @ 2.06
8 57.4% Russian (Dodecad) + 42.6% Orkney (1000 Genomes) @ 2.06
9 63.1% Mixed_Slav (Dodecad) + 36.9% N._European (Xing) @ 2.07
10 70% Mixed_Slav (Dodecad) + 30% Dutch (Dodecad) @ 2.16
11 72.5% Mixed_Slav (Dodecad) + 27.5% Cornwall (1000 Genomes) @ 2.18
12 72.1% Mixed_Slav (Dodecad) + 27.9% British (Dodecad) @ 2.24
13 71.2% Mixed_Slav (Dodecad) + 28.8% Kent (1000 Genomes) @ 2.3
14 71.8% Mixed_Slav (Dodecad) + 28.2% British_Isles (Dodecad) @ 2.33
15 73.1% Mixed_Slav (Dodecad) + 26.9% Irish (Dodecad) @ 2.36
16 63.5% Russian (Dodecad) + 36.5% Dutch (Dodecad) @ 2.49
17 63.5% Mixed_Slav (Dodecad) + 36.5% Argyll (1000 Genomes) @ 2.51
18 56.9% Mixed_Slav (Dodecad) + 43.1% German (Dodecad) @ 2.53
19 62.2% Russian (Dodecad) + 37.8% Mixed_Germanic (Dodecad) @ 2.54
20 64.6% Mixed_Slav (Dodecad) + 35.4% Orkney (1000 Genomes) @ 2.72


Using 2 populations approximation:
1 50% German_Dodecad +50% Russian_Dodecad @ 2.138973


Using 3 populations approximation:
1 50% Russian_Dodecad +25% Argyll_1000 Genomes +25% Slovenian_Xing @ 1.976746


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++
1 Finnish_Dodecad + Mixed_Slav_Dodecad + Slovenian_Xing + Slovenian_Xing @ 1.332134
2 Finnish_Dodecad + Polish_Dodecad + Slovenian_Xing + Slovenian_Xing @ 1.358435
3 British_Isles_Dodecad + Hungarians_Behar + Russian_Dodecad + Russian_Dodecad @ 1.430768
4 Dutch_Dodecad + Russian_Dodecad + Russian_Dodecad + Slovenian_Xing @ 1.436550
5 British_Dodecad + Hungarians_Behar + Russian_Dodecad + Russian_Dodecad @ 1.449420
6 Belorussian_Behar + Cornwall_1000 Genomes + Russian_HGDP + Slovenian_Xing @ 1.449847
7 Dutch_Dodecad + Hungarians_Behar + Russian_Dodecad + Russian_Dodecad @ 1.463923
8 Hungarians_Behar + Kent_1000 Genomes + Russian_Dodecad + Russian_Dodecad @ 1.472210
9 Mixed_Germanic_Dodecad + Russian_Dodecad + Russian_Dodecad + Slovenian_Xing @ 1.485601
10 Dutch_Dodecad + Finnish_Dodecad + Lithuanian_Dodecad + Romanians_14_Behar @ 1.517248
11 Hungarians_Behar + Kent_1000 Genomes + Russian_HGDP + Russian_Dodecad @ 1.538065
12 Dutch_Dodecad + Finnish_Dodecad + Lithuanians_Behar + Romanians_14_Behar @ 1.551127
13 Dutch_Dodecad + Hungarians_Behar + Russian_HGDP + Russian_Dodecad @ 1.558121
14 Cornwall_1000 Genomes + Hungarians_Behar + Russian_Dodecad + Russian_Dodecad @ 1.563373
15 Polish_Dodecad + Russian_HGDP + N._European_Xing + Slovenian_Xing @ 1.569450
16 Balkans_Dodecad + Finnish_Dodecad + Orkney_1000 Genomes + Russian_Dodecad @ 1.577269
17 Belorussian_Behar + British_Dodecad + Russian_HGDP + Slovenian_Xing @ 1.577796
18 Balkans_Dodecad + Finnish_Dodecad + Russian_Dodecad + N._European_Xing @ 1.594301
19 Mixed_Slav_Dodecad + Orkney_1000 Genomes + Russian_HGDP + Slovenian_Xing @ 1.612061
20 Balkans_Dodecad + Finnish_Dodecad + Russian_Dodecad + Argyll_1000 Genomes @ 1.616630

[Lemgrant]

# Population Percent
1 West_European 42.76
2 Mediterranean 29.71
3 West_Asian 12.94
4 East_European 12.01
5 South_Asian 1.2
6 Southeast_Asian 0.89
7 Northeast_Asian 0.36
8 East_African 0.11
9 Southwest_Asian 0.02

Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 11.76
2 CEU (HapMap) 11.8
3 French (HGDP) 12.92
4 N._European (Xing) 13.08
5 French (Dodecad) 13.14
6 German (Dodecad) 13.46
7 Argyll (1000 Genomes) 13.56
8 Orcadian (HGDP) 13.87
9 Orkney (1000 Genomes) 14.28
10 Hungarians (Behar) 15.18
11 TSI (HapMap) 17.1
12 Tuscan (Xing) 17.16
13 Tuscan (Henn) 17.19
14 N_Italian (Dodecad) 17.22
15 Mixed_Germanic (Dodecad) 18.27
16 Portuguese (Dodecad) 19.56
17 Dutch (Dodecad) 19.58
18 Spaniards (Behar) 21.03
19 IBS (1000Genomes) 21.48
20 Romanians_14 (Behar) 21.51

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 70.3% Argyll (1000 Genomes) + 29.7% Greek (Dodecad) @ 1.93
2 69.2% Orkney (1000 Genomes) + 30.8% Greek (Dodecad) @ 2.22
3 69.8% Orcadian (HGDP) + 30.2% Greek (Dodecad) @ 2.22
4 73.3% CEU (HapMap) + 26.7% Greek (Dodecad) @ 2.47
5 52.8% Romanians_14 (Behar) + 47.2% Cornwall (1000 Genomes) @ 2.64
6 50.2% Romanians_14 (Behar) + 49.8% Kent (1000 Genomes) @ 2.74
7 52.4% Romanians_14 (Behar) + 47.6% British (Dodecad) @ 2.88
8 52.4% Dutch (Dodecad) + 47.6% Romanians_14 (Behar) @ 2.95
9 52.4% Romanians_14 (Behar) + 47.6% British_Isles (Dodecad) @ 3.1
10 71.3% N._European (Xing) + 28.7% Greek (Dodecad) @ 3.2
11 55.3% Romanians_14 (Behar) + 44.7% Irish (Dodecad) @ 3.35
12 54.2% Mixed_Germanic (Dodecad) + 45.8% Romanians_14 (Behar) @ 3.41
13 62.6% German (Dodecad) + 37.4% O_Italian (Dodecad) @ 3.6
14 72.1% Argyll (1000 Genomes) + 27.9% Sicilian (Dodecad) @ 3.61
15 67.5% German (Dodecad) + 32.5% C_Italian (Dodecad) @ 3.62
16 73% Argyll (1000 Genomes) + 27% S_Italian (Dodecad) @ 3.64
17 64.9% German (Dodecad) + 35.1% Tuscan (HGDP) @ 3.67
18 73.2% German (Dodecad) + 26.8% S_Italian (Dodecad) @ 3.87
19 53.3% Norwegian (Dodecad) + 46.7% Greek (Dodecad) @ 3.94
20 67.5% Argyll (1000 Genomes) + 32.5% C_Italian (Dodecad) @ 3.96

pretty accurate

[Kaspias]

Trash

Admix Results (sorted):

# Population Percent
1 Mediterranean 23.53
2 West_European 21.07
3 West_Asian 20.84
4 East_European 13.65
5 Southwest_Asian 8.33
6 Northeast_Asian 5.82
7 Southeast_Asian 2.95
8 South_Asian 2.58
9 Northwest_African 1.11
10 Neo_African 0.1
11 East_African 0.01

Single Population Sharing:

# Population (source) Distance
1 Ashkenazy_Jews (Behar) 14.34
2 Romanians_14 (Behar) 15.66
3 Ashkenazi (Dodecad) 15.97
4 Tuscan (Xing) 17.97
5 Balkans (Dodecad) 18.86
6 Tuscan (Henn) 19.01
7 Stalskoe (Xing) 19.2
8 TSI (HapMap) 19.34
9 Morocco_Jews (Behar) 20.76
10 O_Italian (Dodecad) 21.52
11 Greek (Dodecad) 21.55
12 C_Italian (Dodecad) 22.64
13 Slovenian (Xing) 22.78
14 Hungarians (Behar) 23.36
15 Turkish (Dodecad) 23.36
16 S_Italian_Sicilian (Dodecad) 23.61
17 Uzbekistan_Jews (Behar) 24.61
18 Sicilian (Dodecad) 24.9
19 Tuscan (HGDP) 25.71
20 Sephardic_Jews (Behar) 25.88

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 73.5% Ashkenazy_Jews (Behar) + 26.5% Chuvashs_16 (Behar) @ 3.3
2 71.2% Ashkenazi (Dodecad) + 28.8% Chuvashs_16 (Behar) @ 3.41
3 66% Morocco_Jews (Behar) + 34% Chuvashs_16 (Behar) @ 6.41
4 76% Ashkenazy_Jews (Behar) + 24% Russian (HGDP) @ 6.61
5 73.6% Ashkenazi (Dodecad) + 26.4% Russian (HGDP) @ 6.69
6 58.7% Cypriots (Behar) + 41.3% Finnish (Dodecad) @ 7.01
7 51.4% Hungarians (Behar) + 48.6% Uzbekistan_Jews (Behar) @ 7.17
8 65% Turkish (Dodecad) + 35% FIN (1000Genomes) @ 7.29
9 56.6% Hungarians (Behar) + 43.4% Iranian_Jews (Behar) @ 7.45
10 57.8% Cypriots (Behar) + 42.2% FIN (1000Genomes) @ 7.48
11 54.7% Hungarians (Behar) + 45.3% Georgia_Jews (Behar) @ 7.51
12 53.3% Hungarians (Behar) + 46.7% Kurd (Xing) @ 7.56
13 63% S_Italian_Sicilian (Dodecad) + 37% Chuvashs_16 (Behar) @ 7.63
14 52.2% Slovenian (Xing) + 47.8% Uzbekistan_Jews (Behar) @ 7.63
15 58.2% Druze (HGDP) + 41.8% FIN (1000Genomes) @ 7.64
16 50.7% Slovenian (Xing) + 49.3% Turkish (Dodecad) @ 7.65
17 57.3% Slovenian (Xing) + 42.7% Iranian_Jews (Behar) @ 7.69
18 53.1% Hungarians (Behar) + 46.9% Kurd (Dodecad) @ 7.75
19 56.2% Hungarians (Behar) + 43.8% Azerbaijan_Jews (Behar) @ 7.76
20 57.8% Hungarians (Behar) + 42.2% Iraq_Jews (Behar) @ 7.77

[Lemgrant]

Trash

Admix Results (sorted):

# Population Percent
1 Mediterranean 23.53
2 West_European 21.07
3 West_Asian 20.84
4 East_European 13.65
5 Southwest_Asian 8.33
6 Northeast_Asian 5.82
7 Southeast_Asian 2.95
8 South_Asian 2.58
9 Northwest_African 1.11
10 Neo_African 0.1
11 East_African 0.01

Single Population Sharing:

# Population (source) Distance
1 Ashkenazy_Jews (Behar) 14.34
2 Romanians_14 (Behar) 15.66
3 Ashkenazi (Dodecad) 15.97
4 Tuscan (Xing) 17.97
5 Balkans (Dodecad) 18.86
6 Tuscan (Henn) 19.01
7 Stalskoe (Xing) 19.2
8 TSI (HapMap) 19.34
9 Morocco_Jews (Behar) 20.76
10 O_Italian (Dodecad) 21.52
11 Greek (Dodecad) 21.55
12 C_Italian (Dodecad) 22.64
13 Slovenian (Xing) 22.78
14 Hungarians (Behar) 23.36
15 Turkish (Dodecad) 23.36
16 S_Italian_Sicilian (Dodecad) 23.61
17 Uzbekistan_Jews (Behar) 24.61
18 Sicilian (Dodecad) 24.9
19 Tuscan (HGDP) 25.71
20 Sephardic_Jews (Behar) 25.88

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 73.5% Ashkenazy_Jews (Behar) + 26.5% Chuvashs_16 (Behar) @ 3.3
2 71.2% Ashkenazi (Dodecad) + 28.8% Chuvashs_16 (Behar) @ 3.41
3 66% Morocco_Jews (Behar) + 34% Chuvashs_16 (Behar) @ 6.41
4 76% Ashkenazy_Jews (Behar) + 24% Russian (HGDP) @ 6.61
5 73.6% Ashkenazi (Dodecad) + 26.4% Russian (HGDP) @ 6.69
6 58.7% Cypriots (Behar) + 41.3% Finnish (Dodecad) @ 7.01
7 51.4% Hungarians (Behar) + 48.6% Uzbekistan_Jews (Behar) @ 7.17
8 65% Turkish (Dodecad) + 35% FIN (1000Genomes) @ 7.29
9 56.6% Hungarians (Behar) + 43.4% Iranian_Jews (Behar) @ 7.45
10 57.8% Cypriots (Behar) + 42.2% FIN (1000Genomes) @ 7.48
11 54.7% Hungarians (Behar) + 45.3% Georgia_Jews (Behar) @ 7.51
12 53.3% Hungarians (Behar) + 46.7% Kurd (Xing) @ 7.56
13 63% S_Italian_Sicilian (Dodecad) + 37% Chuvashs_16 (Behar) @ 7.63
14 52.2% Slovenian (Xing) + 47.8% Uzbekistan_Jews (Behar) @ 7.63
15 58.2% Druze (HGDP) + 41.8% FIN (1000Genomes) @ 7.64
16 50.7% Slovenian (Xing) + 49.3% Turkish (Dodecad) @ 7.65
17 57.3% Slovenian (Xing) + 42.7% Iranian_Jews (Behar) @ 7.69
18 53.1% Hungarians (Behar) + 46.9% Kurd (Dodecad) @ 7.75
19 56.2% Hungarians (Behar) + 43.8% Azerbaijan_Jews (Behar) @ 7.76
20 57.8% Hungarians (Behar) + 42.2% Iraq_Jews (Behar) @ 7.77

every time you see Jews in your results, you call that calc trash :icon_lol:

[Kaspias]

every time you see Jews in your results, you call that calc trash :icon_lol:

http://www.quickmeme.com/img/21/214e33b8facc98f410126cd977bc44f54b47e775f008eae394 d5f934090072ee.jpg

[Luke35]

Can't copy and paste from phone well, do later.

[Lemgrant]

http://www.quickmeme.com/img/21/214e33b8facc98f410126cd977bc44f54b47e775f008eae394 d5f934090072ee.jpg

http://www.khazaria.com/images/khazaria.gif

[Erronkari]

# Population Percent
1 West_European 42.77
2 Mediterranean 38.38
3 West_Asian 6.97
4 Southwest_Asian 3.42
5 Northwest_African 2.55
6 East_European 1.91
7 Northeast_Asian 1.86
8 Southeast_Asian 1.22
9 South_Asian 0.66
10 East_African 0.23
11 Palaeo_African 0.04

Single Population Sharing:

# Population (source) Distance
1 Portuguese (Dodecad) 8.28
2 Spaniards (Behar) 9.4
3 French (Dodecad) 9.72
4 French (HGDP) 9.99
5 IBS (1000Genomes) 10.12
6 Spanish (Dodecad) 10.32
7 N_Italian (Dodecad) 12.33
8 French_Basque (HGDP) 12.71
9 North_Italian (HGDP) 14.69
10 Tuscan (Henn) 15.63
11 TSI (HapMap) 15.85
12 Tuscan (Xing) 16.35
13 CEU (HapMap) 17.85
14 O_Italian (Dodecad) 19.17
15 N._European (Xing) 19.5
16 Orcadian (HGDP) 19.6
17 Sardinian (HGDP) 19.72
18 Tuscan (HGDP) 19.94
19 Orkney (1000 Genomes) 19.94
20 Argyll (1000 Genomes) 20.25

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 53% Sardinian (HGDP) + 47% Mixed_Germanic (Dodecad) @ 3.35
2 52.9% Sardinian (HGDP) + 47.1% Dutch (Dodecad) @ 3.9
3 67.9% French (HGDP) + 32.1% Sardinian (HGDP) @ 4.06
4 69% French_Basque (HGDP) + 31% Ashkenazy_Jews (Behar) @ 4.09
5 50.3% N._European (Xing) + 49.7% Sardinian (HGDP) @ 4.12
6 81.9% French_Basque (HGDP) + 18.1% Iranians (Behar) @ 4.14
7 55.9% Portuguese (Dodecad) + 44.1% French (HGDP) @ 4.15
8 80.3% French_Basque (HGDP) + 19.7% Kurd (Dodecad) @ 4.18
9 79.3% French_Basque (HGDP) + 20.7% Uzbekistan_Jews (Behar) @ 4.31
10 80.3% French (Dodecad) + 19.7% Sephardic_Jews (Behar) @ 4.35
11 54.7% Sardinian (HGDP) + 45.3% Kent (1000 Genomes) @ 4.38
12 56.9% French_Basque (HGDP) + 43.1% Tuscan (Xing) @ 4.41
13 69.2% French (Dodecad) + 30.8% Tuscan (HGDP) @ 4.42
14 50.7% Sardinian (HGDP) + 49.3% Argyll (1000 Genomes) @ 4.43
15 82.1% French_Basque (HGDP) + 17.9% Iranian (Dodecad) @ 4.43
16 62.5% Sardinian (HGDP) + 37.5% Norwegian (Dodecad) @ 4.43
17 78.4% French (Dodecad) + 21.6% Sicilian (Dodecad) @ 4.43
18 67.6% IBS (1000Genomes) + 32.4% N._European (Xing) @ 4.47
19 77.2% French_Basque (HGDP) + 22.8% Stalskoe (Xing) @ 4.5
20 69.8% French_Basque (HGDP) + 30.2% Ashkenazi (Dodecad) @ 4.51

[Kaspias]

http://www.khazaria.com/images/khazaria.gif

Most probably my mother was with Bulghars and my father were chilling around Central Asia at that time. My all known ancestors Muslim btw.

[Luke35]

Me
# Population Percent
1 West_European 43.8
2 Mediterranean 26.11
3 East_European 15.62
4 West_Asian 8.27
5 Southwest_Asian 2.87
6 South_Asian 2.49
7 Northeast_Asian 0.82

Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 7.85
2 German (Dodecad) 9.28
3 CEU (HapMap) 10.32
4 N._European (Xing) 10.88
5 Argyll (1000 Genomes) 11.77
6 Hungarians (Behar) 11.8
7 Orcadian (HGDP) 12.31
8 Orkney (1000 Genomes) 12.6
9 French (Dodecad) 14.64
10 French (HGDP) 14.97
11 Mixed_Germanic (Dodecad) 17.81
12 Dutch (Dodecad) 19.04
13 Kent (1000 Genomes) 21.25
14 Tuscan (Henn) 21.27
15 Tuscan (Xing) 21.38
16 Balkans (Dodecad) 21.38
17 TSI (HapMap) 21.63
18 N_Italian (Dodecad) 21.8
19 Portuguese (Dodecad) 22.41
20 Romanians_14 (Behar) 22.59

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 66.4% Slovenian (Xing) + 33.6% French (HGDP) @ 2.45
2 66.7% N._European (Xing) + 33.3% Balkans (Dodecad) @ 2.49
3 68% N._European (Xing) + 32% Romanians_14 (Behar) @ 2.67
4 81% German (Dodecad) + 19% Sicilian (Dodecad) @ 2.93
5 54.7% Balkans (Dodecad) + 45.3% Irish (Dodecad) @ 2.93
6 80% German (Dodecad) + 20% Greek (Dodecad) @ 2.95
7 82.4% German (Dodecad) + 17.6% Sephardic_Jews (Behar) @ 2.96
8 51.9% Balkans (Dodecad) + 48.1% British (Dodecad) @ 2.99
9 53% Dutch (Dodecad) + 47% Balkans (Dodecad) @ 2.99
10 51.8% Balkans (Dodecad) + 48.2% British_Isles (Dodecad) @ 3.05
11 68.3% CEU (HapMap) + 31.7% Balkans (Dodecad) @ 3.16
12 52.6% Balkans (Dodecad) + 47.4% Cornwall (1000 Genomes) @ 3.2
13 81.9% German (Dodecad) + 18.1% S_Italian (Dodecad) @ 3.2
14 52.8% Romanians_14 (Behar) + 47.2% Norwegian (Dodecad) @ 3.2
15 80.7% German (Dodecad) + 19.3% S_Italian_Sicilian (Dodecad) @ 3.23
16 64.7% Orkney (1000 Genomes) + 35.3% Romanians_14 (Behar) @ 3.24
17 50.2% Kent (1000 Genomes) + 49.8% Balkans (Dodecad) @ 3.28
18 66.4% Argyll (1000 Genomes) + 33.6% Romanians_14 (Behar) @ 3.28
19 63.5% Orkney (1000 Genomes) + 36.5% Balkans (Dodecad) @ 3.32
20 65.2% Argyll (1000 Genomes) + 34.8% Balkans (Dodecad) @ 3.41

Mom
# Population Percent
1 West_European 49.26
2 Mediterranean 27.93
3 East_European 11.53
4 West_Asian 9.01
5 South_Asian 1.57
6 East_African 0.35
7 Southwest_Asian 0.35

Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 5.02
2 N._European (Xing) 6.84
3 Argyll (1000 Genomes) 7.07
4 Orcadian (HGDP) 7.12
5 Orkney (1000 Genomes) 7.52
6 German (Dodecad) 8.28
7 French (HGDP) 9.45
8 French (Dodecad) 9.57
9 Mixed_Germanic (Dodecad) 12.42
10 Dutch (Dodecad) 13.39
11 Slovenian (Xing) 13.69
12 Kent (1000 Genomes) 15.49
13 British_Isles (Dodecad) 17.35
14 British (Dodecad) 17.44
15 Hungarians (Behar) 17.62
16 Cornwall (1000 Genomes) 17.96
17 Irish (Dodecad) 20.35
18 French_Basque (HGDP) 20.36
19 Swedish (Dodecad) 20.45
20 Portuguese (Dodecad) 20.95

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 83.9% Orkney (1000 Genomes) + 16.1% Greek (Dodecad) @ 1.51
2 88.9% CEU (HapMap) + 11.1% Greek (Dodecad) @ 1.53
3 84.7% Orcadian (HGDP) + 15.3% Greek (Dodecad) @ 1.54
4 81.3% Argyll (1000 Genomes) + 18.7% Tuscan (HGDP) @ 1.92
5 89.6% CEU (HapMap) + 10.4% Sicilian (Dodecad) @ 1.95
6 90% CEU (HapMap) + 10% S_Italian (Dodecad) @ 1.98
7 76.3% Argyll (1000 Genomes) + 23.7% N_Italian (Dodecad) @ 1.99
8 87.9% CEU (HapMap) + 12.1% C_Italian (Dodecad) @ 2.05
9 85.5% Orcadian (HGDP) + 14.5% Sicilian (Dodecad) @ 2.06
10 89.4% CEU (HapMap) + 10.6% S_Italian_Sicilian (Dodecad) @ 2.12
11 85.8% CEU (HapMap) + 14.2% Romanians_14 (Behar) @ 2.13
12 84.7% Orkney (1000 Genomes) + 15.3% Sicilian (Dodecad) @ 2.13
13 86.7% CEU (HapMap) + 13.3% Tuscan (HGDP) @ 2.16
14 85.1% Argyll (1000 Genomes) + 14.9% Greek (Dodecad) @ 2.17
15 85.6% Argyll (1000 Genomes) + 14.4% Sicilian (Dodecad) @ 2.18
16 86% CEU (HapMap) + 14% O_Italian (Dodecad) @ 2.19
17 86% Orcadian (HGDP) + 14% S_Italian (Dodecad) @ 2.21
18 83.2% Argyll (1000 Genomes) + 16.8% C_Italian (Dodecad) @ 2.24
19 85.3% Orkney (1000 Genomes) + 14.7% S_Italian (Dodecad) @ 2.28
20 92.2% CEU (HapMap) + 7.8% Cypriots (Behar) @ 2.3

Dad phased
# Population Percent
1 West_European 36.93
2 Mediterranean 22.37
3 East_European 17.23
4 West_Asian 8.47
5 Southwest_Asian 4.94
6 South_Asian 4.07
7 Northeast_Asian 1.6
8 Neo_African 1.55
9 Southeast_Asian 1.29
10 Palaeo_African 1.06
11 East_African 0.49

Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 7.45
2 Hungarians (Behar) 10.34
3 German (Dodecad) 15.25
4 N._European (Xing) 17.22
5 CEU (HapMap) 17.46
6 Balkans (Dodecad) 17.86
7 Argyll (1000 Genomes) 18.49
8 Romanians_14 (Behar) 19.16
9 Orcadian (HGDP) 19.31
10 Orkney (1000 Genomes) 19.5
11 Tuscan (Xing) 21.15
12 Tuscan (Henn) 21.36
13 French (Dodecad) 21.39
14 French (HGDP) 21.67
15 TSI (HapMap) 21.96
16 N_Italian (Dodecad) 23.99
17 Mixed_Germanic (Dodecad) 24.02
18 Dutch (Dodecad) 25.46
19 Portuguese (Dodecad) 25.89
20 FIN (1000Genomes) 26.22

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 89.4% Slovenian (Xing) + 10.6% Bnei_Menashe_Jews (Behar) @ 4.77
2 90.8% Slovenian (Xing) + 9.2% Cochin_Jews (Behar) @ 4.87
3 89% Slovenian (Xing) + 11% Yemenese (Behar) @ 4.9
4 92.4% Slovenian (Xing) + 7.6% Naidu (Reich) @ 4.96
5 92.7% Slovenian (Xing) + 7.3% Kamsali (Reich) @ 4.99
6 90.2% Slovenian (Xing) + 9.8% Nepalese (Xing) @ 5.02
7 92.9% Slovenian (Xing) + 7.1% AP_Mala (Xing) @ 5.02
8 91.8% Slovenian (Xing) + 8.2% Tharu (Reich) @ 5.03
9 93% Slovenian (Xing) + 7% Santhal (Reich) @ 5.03
10 92.4% Slovenian (Xing) + 7.6% Sahariya (Reich) @ 5.04
11 92.9% Slovenian (Xing) + 7.1% Kurumba (Reich) @ 5.04
12 92.9% Slovenian (Xing) + 7.1% Madiga (Reich) @ 5.05
13 92.4% Slovenian (Xing) + 7.6% Satnami (Reich) @ 5.07
14 93% Slovenian (Xing) + 7% AP_Madiga (Xing) @ 5.09
15 92.8% Slovenian (Xing) + 7.2% Bhil (Reich) @ 5.1
16 92.6% Slovenian (Xing) + 7.4% Hallaki (Reich) @ 5.1
17 59.8% FIN (1000Genomes) + 40.2% Sephardic_Jews (Behar) @ 5.11
18 93% Slovenian (Xing) + 7% Kharia (Reich) @ 5.11
19 92.4% Slovenian (Xing) + 7.6% Velama (Reich) @ 5.11
20 93.1% Slovenian (Xing) + 6.9% Mala (Reich) @ 5.11

[Rgvgjhvv]

# Population Percent
1 Mediterranean 34.47
2 West_Asian 23.74
3 West_European 18.7
4 East_European 10.74
5 Southwest_Asian 8.91
6 South_Asian 1.98
7 Northwest_African 0.62
8 East_African 0.48
9 Neo_African 0.3
10 Northeast_Asian 0.06

# Population (source) Distance
1 Ashkenazy_Jews (Behar) 6.96
2 Ashkenazi (Dodecad) 7.8
3 Greek (Dodecad) 10.55
4 C_Italian (Dodecad) 11.83
5 S_Italian_Sicilian (Dodecad) 12.23
6 Tuscan (Xing) 12.43
7 O_Italian (Dodecad) 12.83
8 Morocco_Jews (Behar) 13.17
9 Tuscan (Henn) 13.4
10 TSI (HapMap) 13.59
11 Sicilian (Dodecad) 13.69
12 S_Italian (Dodecad) 14.74
13 Romanians_14 (Behar) 14.85
14 Sephardic_Jews (Behar) 15.92
15 Tuscan (HGDP) 16.68
16 Turkish (Dodecad) 20.06
17 N_Italian (Dodecad) 20.18
18 Balkans (Dodecad) 20.32
19 Cypriots (Behar) 22.05
20 Uzbekistan_Jews (Behar) 22.05

[Luke35]

My Wife
# Population Percent
1 Mediterranean 34.11
2 West_Asian 23.91
3 West_European 19.94
4 Southwest_Asian 9.74
5 East_European 7.34
6 Northwest_African 2.65
7 South_Asian 1.01
8 Northeast_Asian 0.66
9 East_African 0.63

Single Population Sharing:

# Population (source) Distance
1 Ashkenazy_Jews (Behar) 3.55
2 Ashkenazi (Dodecad) 4.57
3 Morocco_Jews (Behar) 10.61
4 Tuscan (Xing) 10.71
5 C_Italian (Dodecad) 10.91
6 S_Italian_Sicilian (Dodecad) 11.37
7 O_Italian (Dodecad) 11.49
8 Tuscan (Henn) 11.71
9 TSI (HapMap) 11.83
10 Greek (Dodecad) 12.37
11 Sicilian (Dodecad) 13.41
12 S_Italian (Dodecad) 14.32
13 Sephardic_Jews (Behar) 15.06
14 Tuscan (HGDP) 15.97
15 Romanians_14 (Behar) 17.57
16 N_Italian (Dodecad) 19.53
17 Turkish (Dodecad) 20.09
18 Uzbekistan_Jews (Behar) 21.58
19 Cypriots (Behar) 22.05
20 North_Italian (HGDP) 22.81

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 80.6% Ashkenazi (Dodecad) + 19.4% Romanians_14 (Behar) @ 1.76
2 84.7% Ashkenazi (Dodecad) + 15.3% Balkans (Dodecad) @ 2.01
3 85.7% Ashkenazy_Jews (Behar) + 14.3% Romanians_14 (Behar) @ 2.04
4 89.5% Ashkenazy_Jews (Behar) + 10.5% Balkans (Dodecad) @ 2.35
5 82.4% Ashkenazy_Jews (Behar) + 17.6% Greek (Dodecad) @ 2.44
6 92.2% Ashkenazi (Dodecad) + 7.8% Polish (Dodecad) @ 2.61
7 92% Ashkenazi (Dodecad) + 8% Mixed_Slav (Dodecad) @ 2.61
8 93.3% Ashkenazi (Dodecad) + 6.7% Belorussian (Behar) @ 2.64
9 88.7% Ashkenazi (Dodecad) + 11.3% Hungarians (Behar) @ 2.67
10 94.2% Ashkenazi (Dodecad) + 5.8% Lithuanians (Behar) @ 2.76
11 93% Ashkenazi (Dodecad) + 7% Russian (Dodecad) @ 2.77
12 94.4% Ashkenazi (Dodecad) + 5.6% Lithuanian (Dodecad) @ 2.78
13 96.1% Ashkenazy_Jews (Behar) + 3.9% Belorussian (Behar) @ 2.87
14 62.6% Cypriots (Behar) + 37.4% German (Dodecad) @ 2.89
15 95.6% Ashkenazy_Jews (Behar) + 4.4% Polish (Dodecad) @ 2.91
16 93.4% Ashkenazy_Jews (Behar) + 6.6% Hungarians (Behar) @ 2.92
17 93.6% Ashkenazi (Dodecad) + 6.4% Russian (HGDP) @ 2.92
18 95.5% Ashkenazy_Jews (Behar) + 4.5% Mixed_Slav (Dodecad) @ 2.92
19 96.8% Ashkenazy_Jews (Behar) + 3.2% Lithuanians (Behar) @ 2.99
20 96.9% Ashkenazy_Jews (Behar) + 3.1% Lithuanian (Dodecad) @ 2.99

[oszkar07]

# Population Percent
1 West_European 44.42
2 Mediterranean 24.79
3 East_European 18.04
4 West_Asian 9.48
5 Southwest_Asian 2.08
6 Northeast_Asian 1.02
7 Palaeo_African 0.12
8 Neo_African 0.06

Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 5.85
2 German (Dodecad) 8.34
3 Hungarians (Behar) 10.22
4 CEU (HapMap) 10.83
5 N._European (Xing) 11.26
6 Argyll (1000 Genomes) 11.86
7 Orcadian (HGDP) 12.59
8 Orkney (1000 Genomes) 12.89
9 French (Dodecad) 16.68
10 French (HGDP) 16.89
11 Mixed_Germanic (Dodecad) 18.18
12 Dutch (Dodecad) 19.72
13 Balkans (Dodecad) 20.79
14 Kent (1000 Genomes) 21.84
15 Romanians_14 (Behar) 22.55
16 Swedish (Dodecad) 22.8
17 Tuscan (Henn) 23
18 Tuscan (Xing) 23.03
19 FIN (1000Genomes) 23.2
20 TSI (HapMap) 23.27

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 73.2% German (Dodecad) + 26.8% Romanians_14 (Behar) @ 1.21
2 65.4% Slovenian (Xing) + 34.6% CEU (HapMap) @ 1.31
3 77.7% Slovenian (Xing) + 22.3% Dutch (Dodecad) @ 1.52
4 79.5% Slovenian (Xing) + 20.5% Kent (1000 Genomes) @ 1.56
5 52.5% Romanians_14 (Behar) + 47.5% Norwegian (Dodecad) @ 1.58
6 81.2% Slovenian (Xing) + 18.8% Cornwall (1000 Genomes) @ 1.61
7 50.3% Romanians_14 (Behar) + 49.7% Swedish (Dodecad) @ 1.62
8 69% Slovenian (Xing) + 31% Orcadian (HGDP) @ 1.65
9 80.9% Slovenian (Xing) + 19.1% British (Dodecad) @ 1.68
10 69.6% Slovenian (Xing) + 30.4% Orkney (1000 Genomes) @ 1.73
11 66.6% Slovenian (Xing) + 33.4% N._European (Xing) @ 1.75
12 76.4% Slovenian (Xing) + 23.6% Mixed_Germanic (Dodecad) @ 1.75
13 80.8% Slovenian (Xing) + 19.2% British_Isles (Dodecad) @ 1.79
14 65.1% N._European (Xing) + 34.9% Balkans (Dodecad) @ 1.8
15 64.3% Hungarians (Behar) + 35.7% Mixed_Germanic (Dodecad) @ 1.8
16 67.8% Slovenian (Xing) + 32.2% Argyll (1000 Genomes) @ 1.82
17 54.6% Balkans (Dodecad) + 45.4% Norwegian (Dodecad) @ 1.92
18 82.6% Slovenian (Xing) + 17.4% Irish (Dodecad) @ 2.01
19 52.5% Hungarians (Behar) + 47.5% N._European (Xing) @ 2.02
20 63.9% Argyll (1000 Genomes) + 36.1% Balkans (Dodecad) @ 2.03

[frankhammer]

Admix Results (sorted):

# Population Percent
1 West_European 52.64
2 Mediterranean 26.4
3 East_European 11.88
4 West_Asian 7.55
5 Southwest_Asian 0.77
6 South_Asian 0.69
7 East_African 0.07

Single Population Sharing:

# Population (source) Distance
1 CEU (HapMap) 1.51
2 Orcadian (HGDP) 3.61
3 Argyll (1000 Genomes) 3.8
4 N._European (Xing) 3.97
5 Orkney (1000 Genomes) 4.02
6 German (Dodecad) 6.13
7 Mixed_Germanic (Dodecad) 9.78
8 French (HGDP) 10.02
9 French (Dodecad) 10.12
10 Dutch (Dodecad) 10.67
11 Kent (1000 Genomes) 12.73
12 British_Isles (Dodecad) 14.45
13 British (Dodecad) 14.64
14 Cornwall (1000 Genomes) 15.27
15 Slovenian (Xing) 15.29
16 Swedish (Dodecad) 17.04
17 Irish (Dodecad) 17.43
18 Norwegian (Dodecad) 17.98
19 Hungarians (Behar) 19.3
20 French_Basque (HGDP) 21.04

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 95.7% CEU (HapMap) + 4.3% Romanians_14 (Behar) @ 0.6
2 95.5% CEU (HapMap) + 4.5% Balkans (Dodecad) @ 0.62
3 97% CEU (HapMap) + 3% Greek (Dodecad) @ 0.81
4 93.9% CEU (HapMap) + 6.1% Hungarians (Behar) @ 0.87
5 92.8% CEU (HapMap) + 7.2% Slovenian (Xing) @ 0.94
6 97.4% CEU (HapMap) + 2.6% Sicilian (Dodecad) @ 0.96
7 89.8% Orcadian (HGDP) + 10.2% Romanians_14 (Behar) @ 0.98
8 97.5% CEU (HapMap) + 2.5% S_Italian (Dodecad) @ 0.99
9 97% CEU (HapMap) + 3% C_Italian (Dodecad) @ 1
10 96.7% CEU (HapMap) + 3.3% Tuscan (HGDP) @ 1
11 95.7% CEU (HapMap) + 4.3% N_Italian (Dodecad) @ 1.01
12 97.4% CEU (HapMap) + 2.6% S_Italian_Sicilian (Dodecad) @ 1.01
13 98.1% CEU (HapMap) + 1.9% Cypriots (Behar) @ 1.03
14 96.6% CEU (HapMap) + 3.4% O_Italian (Dodecad) @ 1.04
15 97.7% CEU (HapMap) + 2.3% Sephardic_Jews (Behar) @ 1.04
16 92.4% Orcadian (HGDP) + 7.6% Greek (Dodecad) @ 1.08
17 96.4% CEU (HapMap) + 3.6% North_Italian (HGDP) @ 1.08
18 91.5% Orkney (1000 Genomes) + 8.5% Greek (Dodecad) @ 1.1
19 96.1% CEU (HapMap) + 3.9% TSI (HapMap) @ 1.1
20 88.8% Orkney (1000 Genomes) + 11.2% Romanians_14 (Behar) @ 1.1

[oszkar07]

Argyle means border land of the Gael so not surprising that I would get that. A lot of Irish settled there i.e. Dalriada. It should be close to the Irish though and all my family members tested get either Orkney or Argyle as their no 1 on Dodecad V3 with Ireland very distant. I never come close to Ireland on Dodecad so I don't know what is going on there with that sample. I think the East European score I get is pulling me towards Eastern Europeans as my secondary population. Yours doesn't look too bad in mixed mode.

Yeh I thought your East Euro score of East_European 13.02, was bit up for NW Euro, I get 18 East Euro as half Hungarian.
This calc is not too bad for me but I dont like my results on many the other Dodecad calcs.
Your results seem partially correct but your right about the Irish sample, dont make sense .

[Adamg]

Admix Results (sorted):

# Population Percent
1 West_European 44.24
2 East_European 24.08
3 Mediterranean 23.01
4 West_Asian 6.54
5 Southwest_Asian 1.84
6 Southeast_Asian 0.29

Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 5.16
2 Hungarians (Behar) 7.42
3 German (Dodecad) 10.02
4 CEU (HapMap) 14.81
5 N._European (Xing) 15.08
6 Argyll (1000 Genomes) 15.35
7 Orcadian (HGDP) 16.06
8 Orkney (1000 Genomes) 16.27
9 FIN (1000Genomes) 19.63
10 Balkans (Dodecad) 20.03
11 Polish (Dodecad) 21.32
12 French (Dodecad) 21.45
13 French (HGDP) 21.99
14 Mixed_Slav (Dodecad) 22.08
15 Mixed_Germanic (Dodecad) 22.11
16 Romanians_14 (Behar) 23.34
17 Dutch (Dodecad) 23.53
18 Swedish (Dodecad) 23.68
19 Finnish (Dodecad) 24.85
20 Kent (1000 Genomes) 25.52

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 76.5% Hungarians (Behar) + 23.5% Swedish (Dodecad) @ 1.53
2 78.6% Hungarians (Behar) + 21.4% Norwegian (Dodecad) @ 1.79
3 64.3% French (HGDP) + 35.7% Lithuanian (Dodecad) @ 1.92
4 62.7% French (HGDP) + 37.3% Lithuanians (Behar) @ 2.09
5 60% CEU (HapMap) + 40% Mixed_Slav (Dodecad) @ 2.14
6 69.3% CEU (HapMap) + 30.7% Belorussian (Behar) @ 2.22
7 58% Hungarians (Behar) + 42% German (Dodecad) @ 2.24
8 59.2% CEU (HapMap) + 40.8% Polish (Dodecad) @ 2.32
9 55.6% French (HGDP) + 44.4% Russian (Dodecad) @ 2.41
10 50.1% French (HGDP) + 49.9% Mixed_Slav (Dodecad) @ 2.51
11 50.8% Polish (Dodecad) + 49.2% French (HGDP) @ 2.74
12 58.8% N._European (Xing) + 41.2% Polish (Dodecad) @ 3.09
13 81.4% Hungarians (Behar) + 18.6% Irish (Dodecad) @ 3.2
14 58.1% Orcadian (HGDP) + 41.9% Mixed_Slav (Dodecad) @ 3.22
15 69.1% N._European (Xing) + 30.9% Belorussian (Behar) @ 3.24
16 82.8% Slovenian (Xing) + 17.2% FIN (1000Genomes) @ 3.25
17 59.7% N._European (Xing) + 40.3% Mixed_Slav (Dodecad) @ 3.32
18 80.2% Hungarians (Behar) + 19.8% British_Isles (Dodecad) @ 3.4
19 57.8% Orkney (1000 Genomes) + 42.2% Mixed_Slav (Dodecad) @ 3.43
20 57.3% Orcadian (HGDP) + 42.7% Polish (Dodecad) @ 3.46

[PT Tagus]

Admix Results (sorted):

# Population Percent
1 Mediterranean 36.17
2 West_European 35.42
3 West_Asian 9.37
4 Southwest_Asian 6.24
5 East_European 4.50
6 Northwest_African 3.98
7 Neo_African 2.49
8 East_African 1.20
9 Palaeo_African 0.64


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

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

Least-squares method.

Using 1 population approximation:
1 Tuscan_Henn @ 10.889604
2 N_Italian_Dodecad @ 11.223248
3 Tuscan_Xing @ 11.598850
4 TSI_HapMap @ 11.743995
5 Portuguese_Dodecad @ 12.335279
6 IBS_1000Genomes @ 15.219327
7 North_Italian_HGDP @ 15.388126
8 O_Italian_Dodecad @ 15.419410
9 Spaniards_Behar @ 15.963094
10 Spanish_Dodecad @ 15.977964
11 Tuscan_HGDP @ 17.769947
12 French_Dodecad @ 17.905985
13 French_HGDP @ 18.097197
14 Sardinian_HGDP @ 21.284826
15 C_Italian_Dodecad @ 21.499857
16 Ashkenazy_Jews_Behar @ 22.453026
17 French_Basque_HGDP @ 22.659351
18 Slovenian_Xing @ 23.166935
19 CEU_HapMap @ 23.491827
20 Ashkenazi_Dodecad @ 23.517159

Using 2 populations approximation:
1 50% Portuguese_Dodecad +50% Tuscan_Xing @ 5.361076


Using 3 populations approximation:
1 50% Spaniards_Behar +25% Argyll_1000 Genomes +25% Egypt_Henn @ 2.694793


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++
1 French_Basque_HGDP + Orcadian_HGDP + Tuscan_HGDP + Libya_Henn @ 2.311163
2 French_Basque_HGDP + Orkney_1000 Genomes + Tuscan_HGDP + Libya_Henn @ 2.384221
3 French_Basque_HGDP + Tuscan_HGDP + Argyll_1000 Genomes + Libya_Henn @ 2.483307
4 CEU_HapMap + French_Basque_HGDP + Tuscan_HGDP + Libya_Henn @ 2.543848
5 CEU_HapMap + French_Basque_HGDP + North_Italian_HGDP + Libya_Henn @ 2.546792
6 French_Basque_HGDP + North_Italian_HGDP + Argyll_1000 Genomes + Libya_Henn @ 2.609306
7 French_HGDP + French_Dodecad + North_Italian_HGDP + Libya_Henn @ 2.665497
8 Spaniards_Behar + Spaniards_Behar + Argyll_1000 Genomes + Egypt_Henn @ 2.694793
9 IBS_1000Genomes + Spaniards_Behar + Argyll_1000 Genomes + Egypt_Henn @ 2.715982
10 French_Dodecad + French_Dodecad + North_Italian_HGDP + Libya_Henn @ 2.716359
11 French_Basque_HGDP + North_Italian_HGDP + Argyll_1000 Genomes + Egypt_Henn @ 2.720223
12 German_Dodecad + Morocco_Jews_Behar + Portuguese_Dodecad + Portuguese_Dodecad @ 2.720252
13 French_Basque_HGDP + North_Italian_HGDP + Orkney_1000 Genomes + Egypt_Henn @ 2.725518
14 Spaniards_Behar + Spanish_Dodecad + Argyll_1000 Genomes + Egypt_Henn @ 2.733681
15 French_Basque_HGDP + North_Italian_HGDP + Orcadian_HGDP + Egypt_Henn @ 2.743827
16 Orkney_1000 Genomes + Palestinian_HGDP + Portuguese_Dodecad + Spanish_Dodecad @ 2.749159
17 French_HGDP + French_HGDP + North_Italian_HGDP + Libya_Henn @ 2.751935
18 French_Basque_HGDP + North_Italian_HGDP + Orcadian_HGDP + Libya_Henn @ 2.756428
19 Orcadian_HGDP + Palestinian_HGDP + Portuguese_Dodecad + Spanish_Dodecad @ 2.768932
20 CEU_HapMap + French_Basque_HGDP + N_Italian_Dodecad + Libya_Henn @ 2.781213

[Ritz06]

Admix Results (sorted):

# Population Percent
1 West_European 30.95
2 West_Asian 23.35
3 Mediterranean 22.61
4 East_European 10.28
5 South_Asian 4.7
6 Southwest_Asian 4.56
7 Southeast_Asian 2.09
8 Northeast_Asian 1.45

Single Population Sharing:

# Population (source) Distance
1 Tuscan (Xing) 15.47
2 TSI (HapMap) 16.2
3 Tuscan (Henn) 16.47
4 Ashkenazy_Jews (Behar) 16.98
5 Stalskoe (Xing) 17.82
6 Ashkenazi (Dodecad) 18.63
7 Slovenian (Xing) 18.74
8 Romanians_14 (Behar) 18.82
9 O_Italian (Dodecad) 20.71
10 Hungarians (Behar) 21.18
11 Balkans (Dodecad) 21.34
12 N_Italian (Dodecad) 23.21
13 C_Italian (Dodecad) 23.74
14 Urkarah (Xing) 24.37
15 Morocco_Jews (Behar) 24.66
16 Tuscan (HGDP) 25.11
17 N._European (Xing) 25.35
18 Greek (Dodecad) 25.56
19 CEU (HapMap) 25.69
20 German (Dodecad) 25.7

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 54.4% German (Dodecad) + 45.6% Turks (Behar) @ 3.56
2 53.1% German (Dodecad) + 46.9% Kurd (Dodecad) @ 3.81
3 54.8% N._European (Xing) + 45.2% Turks (Behar) @ 3.87
4 53% Argyll (1000 Genomes) + 47% Kurd (Xing) @ 3.88
5 53.1% CEU (HapMap) + 46.9% Kurd (Dodecad) @ 3.96
6 57% CEU (HapMap) + 43% Iranian (Dodecad) @ 4.04
7 52.2% Orcadian (HGDP) + 47.8% Kurd (Xing) @ 4.08
8 52.3% Argyll (1000 Genomes) + 47.7% Kurd (Dodecad) @ 4.14
9 51.9% Orkney (1000 Genomes) + 48.1% Kurd (Xing) @ 4.14
10 51.4% Orcadian (HGDP) + 48.6% Kurd (Dodecad) @ 4.17
11 51.7% German (Dodecad) + 48.3% Turkish (Dodecad) @ 4.18
12 53.7% Argyll (1000 Genomes) + 46.3% Turks (Behar) @ 4.18
13 57.4% Turkish (Dodecad) + 42.6% Swedish (Dodecad) @ 4.26
14 51.2% Orkney (1000 Genomes) + 48.8% Kurd (Dodecad) @ 4.29
15 57.1% German (Dodecad) + 42.9% Iranian (Dodecad) @ 4.32
16 52.6% Orkney (1000 Genomes) + 47.4% Turks (Behar) @ 4.4
17 52.1% N._European (Xing) + 47.9% Turkish (Dodecad) @ 4.45
18 54.2% N._European (Xing) + 45.8% Kurd (Xing) @ 4.49
19 54.5% CEU (HapMap) + 45.5% Turks (Behar) @ 4.54
20 52.8% Orcadian (HGDP) + 47.2% Turks (Behar) @ 4.54

Using 2 populations approximation:
1 50% German_Dodecad +50% Kurd_Dodecad @ 4.436324


Using 3 populations approximation:
1 50% German_Dodecad +25% Kurd_Dodecad +25% Turkish_Dodecad @ 3.075589


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++
1 French_Dodecad + Kurd_Dodecad + Slovenian_Xing + Stalskoe_Xing @ 2.191884
2 French_HGDP + Hungarians_Behar + Kurd_Dodecad + Stalskoe_Xing @ 2.309183
3 FIN_1000Genomes + Iranian_Dodecad + Spanish_Dodecad + Stalskoe_Xing @ 2.352227
4 French_Dodecad + Hungarians_Behar + Kurd_Dodecad + Stalskoe_Xing @ 2.357917
5 FIN_1000Genomes + Spaniards_Behar + Kurd_Xing + Urkarah_Xing @ 2.370683
6 FIN_1000Genomes + Iranian_Dodecad + Spaniards_Behar + Stalskoe_Xing @ 2.375215
7 FIN_1000Genomes + IBS_1000Genomes + Iranian_Dodecad + Stalskoe_Xing @ 2.377391
8 FIN_1000Genomes + Spanish_Dodecad + Kurd_Xing + Urkarah_Xing @ 2.382478
9 French_HGDP + Kurd_Dodecad + Slovenian_Xing + Stalskoe_Xing @ 2.385826
10 FIN_1000Genomes + IBS_1000Genomes + Kurd_Xing + Urkarah_Xing @ 2.398561
11 FIN_1000Genomes + IBS_1000Genomes + Kurd_Dodecad + Urkarah_Xing @ 2.431238
12 Dutch_Dodecad + Hungarians_Behar + Kurd_Xing + Stalskoe_Xing @ 2.453117
13 FIN_1000Genomes + Kurd_Dodecad + Spanish_Dodecad + Urkarah_Xing @ 2.454571
14 FIN_1000Genomes + Kurd_Dodecad + Spaniards_Behar + Urkarah_Xing @ 2.561367
15 FIN_1000Genomes + Kurd_Dodecad + North_Italian_HGDP + Stalskoe_Xing @ 2.612202
16 Hungarians_Behar + Kent_1000 Genomes + Kurd_Xing + Stalskoe_Xing @ 2.629427
17 Orcadian_HGDP + Kurd_Xing + Slovenian_Xing + Stalskoe_Xing @ 2.651906
18 Orkney_1000 Genomes + Kurd_Xing + Slovenian_Xing + Stalskoe_Xing @ 2.667950
19 French_Dodecad + Kurd_Xing + Slovenian_Xing + Stalskoe_Xing @ 2.672395
20 CEU_HapMap + Kurd_Xing + Slovenian_Xing + Stalskoe_Xing @ 2.699217

[Zuh]

Population Percent
1 West_European 26.98
2 Northeast_Asian 18.44
3 Mediterranean 17.75
4 West_Asian 10.29
5 Southeast_Asian 8.68
6 East_European 4.74
7 Northwest_African 4.29
8 South_Asian 3.32
9 Neo_African 2.01
10 Palaeo_African 1.81
11 Southwest_Asian 1.68

[Kökény]

Admix Results (sorted):

# Population Percent
1 West_European 34.97
2 Mediterranean 23.55
3 East_European 16.66
4 West_Asian 13.59
5 Southwest_Asian 4.66
6 Northeast_Asian 2.54
7 Southeast_Asian 1.57
8 South_Asian 1.49
9 Northwest_African 0.93
10 Neo_African 0.05


Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 8.46
2 Hungarians (Behar) 11.08
3 Balkans (Dodecad) 15.82
4 Romanians_14 (Behar) 16.09
5 German (Dodecad) 17.62
6 Tuscan (Xing) 17.9
7 Tuscan (Henn) 18.32
8 TSI (HapMap) 18.71
9 N._European (Xing) 19.1
10 CEU (HapMap) 19.19
11 Argyll (1000 Genomes) 20.26
12 Orcadian (HGDP) 21.13
13 Orkney (1000 Genomes) 21.39
14 N_Italian (Dodecad) 22.11
15 French (HGDP) 22.46
16 French (Dodecad) 22.48
17 Ashkenazy_Jews (Behar) 22.61
18 O_Italian (Dodecad) 23.28
19 Ashkenazi (Dodecad) 24.38
20 Mixed_Germanic (Dodecad) 25.3


Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 65.1% Tuscan (Xing) + 34.9% Finnish (Dodecad) @ 2.78
2 56.4% Ashkenazy_Jews (Behar) + 43.6% FIN (1000Genomes) @ 3.1
3 54.5% Ashkenazi (Dodecad) + 45.5% FIN (1000Genomes) @ 3.18
4 51.6% FIN (1000Genomes) + 48.4% S_Italian_Sicilian (Dodecad) @ 3.3
5 54% FIN (1000Genomes) + 46% S_Italian (Dodecad) @ 3.39
6 64.2% TSI (HapMap) + 35.8% Finnish (Dodecad) @ 3.45
7 64.7% Tuscan (Henn) + 35.3% Finnish (Dodecad) @ 3.64
8 83% Slovenian (Xing) + 17% Uzbekistan_Jews (Behar) @ 3.66
9 84.2% Slovenian (Xing) + 15.8% Georgia_Jews (Behar) @ 3.72
10 74.6% Slovenian (Xing) + 25.4% Ashkenazy_Jews (Behar) @ 3.72
11 58.9% O_Italian (Dodecad) + 41.1% Finnish (Dodecad) @ 3.73
12 84.9% Slovenian (Xing) + 15.1% Iranian_Jews (Behar) @ 3.73
13 85.3% Slovenian (Xing) + 14.7% Iraq_Jews (Behar) @ 3.8
14 84.7% Slovenian (Xing) + 15.3% Azerbaijan_Jews (Behar) @ 3.8
15 54.9% FIN (1000Genomes) + 45.1% Sephardic_Jews (Behar) @ 3.82
16 76.2% Slovenian (Xing) + 23.8% Ashkenazi (Dodecad) @ 3.84
17 83.7% Slovenian (Xing) + 16.3% Kurd (Dodecad) @ 3.94
18 85.2% Slovenian (Xing) + 14.8% Druze (HGDP) @ 3.95
19 84.6% Slovenian (Xing) + 15.4% Palestinian (HGDP) @ 3.97
20 84.6% Slovenian (Xing) + 15.4% Lebanese (Behar) @ 3.98

[altaic]

Admix Results (sorted):

# Population Percent
1 West_Asian 38.15
2 Mediterranean 25.20
3 Southwest_Asian 11.31
4 West_European 9.75
5 South_Asian 6.76
6 East_European 4.71
7 Northeast_Asian 2.24
8 Southeast_Asian 1.01

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

Least-squares method.

Using 1 population approximation:
1 Uzbekistan_Jews_Behar @ 7.162615
2 Turkish_Dodecad @ 7.455955
3 Kurd_Xing @ 7.782040
4 Kurd_Dodecad @ 8.644045
5 Turks_Behar @ 10.312534
6 Azerbaijan_Jews_Behar @ 10.892977
7 Georgia_Jews_Behar @ 12.697229
8 Iranian_Jews_Behar @ 12.853960
9 Iraq_Jews_Behar @ 14.888379
10 Iranians_Behar @ 15.333120

Using 2 populations approximation:
1 50% Turkish_Dodecad +50% Uzbekistan_Jews_Behar @ 3.068761

Using 3 populations approximation:
1 50% Iranians_Behar +25% Turks_Behar +25% Tuscan_HGDP @ 1.807129

Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++
1 C_Italian_Dodecad + Iranians_Behar + Kurd_Dodecad + Turks_Behar @ 1.705823

[InfamousAngel99]

Population:
East_European 11.47 Pct
West_European 50.08 Pct
Mediterranean 28.07 Pct
Neo_African -
West_Asian 8.14 Pct
South_Asian 0.60 Pct
Northeast_Asian -
Southeast_Asian -
East_African -
Southwest_Asian 1.17 Pct
Northwest_African 0.47 Pct
Palaeo_African -

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

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

Least-squares method.

Using 1 population approximation:
1 CEU_HapMap @ 4.605949
2 N._European_Xing @ 6.838074
3 Orcadian_HGDP @ 7.074247
4 Argyll_1000 Genomes @ 7.222872
5 Orkney_1000 Genomes @ 7.540275
6 German_Dodecad @ 8.656721
7 French_HGDP @ 9.804353
8 French_Dodecad @ 9.849468
9 Mixed_Germanic_Dodecad @ 13.128321
10 Dutch_Dodecad @ 14.108656
11 Slovenian_Xing @ 15.713837
12 Kent_1000 Genomes @ 16.438675
13 British_Isles_Dodecad @ 18.487661
14 British_Dodecad @ 18.577169
15 Cornwall_1000 Genomes @ 19.187393
16 Hungarians_Behar @ 20.040567
17 Irish_Dodecad @ 21.851727
18 French_Basque_HGDP @ 21.921942
19 Swedish_Dodecad @ 21.960106
20 Portuguese_Dodecad @ 23.001894

Using 2 populations approximation:
1 50% N_Italian_Dodecad +50% Swedish_Dodecad @ 2.831467


Using 3 populations approximation:
1 50% CEU_HapMap +25% French_HGDP +25% Slovenian_Xing @ 1.141238


Using 4 populations approximation:
+++++++++++++++++++++++++++++++++++++++++++
1 Balkans_Dodecad + British_Isles_Dodecad + French_HGDP + Orkney_1000 Genomes @ 0.518969
2 Balkans_Dodecad + French_Dodecad + Irish_Dodecad + Orcadian_HGDP @ 0.529811
3 Balkans_Dodecad + British_Dodecad + French_HGDP + Orkney_1000 Genomes @ 0.549191
4 Balkans_Dodecad + Cornwall_1000 Genomes + French_Dodecad + Orkney_1000 Genomes @ 0.581687
5 Balkans_Dodecad + French_Dodecad + Irish_Dodecad + Orkney_1000 Genomes @ 0.585463
6 Hungarians_Behar + Kent_1000 Genomes + North_Italian_HGDP + Swedish_Dodecad @ 0.602089
7 Balkans_Dodecad + British_Dodecad + French_Dodecad + Orkney_1000 Genomes @ 0.629780
8 Balkans_Dodecad + British_Isles_Dodecad + French_Dodecad + Orkney_1000 Genomes @ 0.638479
9 Balkans_Dodecad + British_Dodecad + French_HGDP + Orcadian_HGDP @ 0.640444
10 Balkans_Dodecad + British_Isles_Dodecad + French_HGDP + Orcadian_HGDP @ 0.659209
11 Balkans_Dodecad + French_HGDP + Irish_Dodecad + Orcadian_HGDP @ 0.666045
12 Balkans_Dodecad + CEU_HapMap + French_Dodecad + Irish_Dodecad @ 0.686719
13 Balkans_Dodecad + Cornwall_1000 Genomes + French_HGDP + Orkney_1000 Genomes @ 0.699377
14 Balkans_Dodecad + Cornwall_1000 Genomes + French_Dodecad + Orcadian_HGDP @ 0.714778
15 Balkans_Dodecad + British_Isles_Dodecad + French_Dodecad + Orcadian_HGDP @ 0.716234
16 Balkans_Dodecad + French_Dodecad + Irish_Dodecad + Argyll_1000 Genomes @ 0.734315
17 Cornwall_1000 Genomes + Hungarians_Behar + North_Italian_HGDP + Swedish_Dodecad @ 0.742177
18 Balkans_Dodecad + CEU_HapMap + French_HGDP + Irish_Dodecad @ 0.746074
19 Balkans_Dodecad + British_Dodecad + French_Dodecad + Orcadian_HGDP @ 0.753893
20 British_Dodecad + Hungarians_Behar + North_Italian_HGDP + Swedish_Dodecad @ 0.760396

[Scandal]

# Population Percent
1 West_European 39.22
2 East_European 25.9
3 Mediterranean 21.63
4 West_Asian 8.51
5 Southwest_Asian 3.14
6 Northwest_African 1.59

Single Population Sharing:

# Population (source) Distance
1 Slovenian (Xing) 4.27
2 Hungarians (Behar) 4.66
3 German (Dodecad) 14.81
4 Balkans (Dodecad) 16.21
5 Polish (Dodecad) 18.58
6 Mixed_Slav (Dodecad) 18.84
7 CEU (HapMap) 19.29
8 N._European (Xing) 19.3
9 Argyll (1000 Genomes) 19.88
10 Romanians_14 (Behar) 19.9
11 Orcadian (HGDP) 20.73
12 Orkney (1000 Genomes) 20.94
13 FIN (1000Genomes) 21.88
14 Russian (Dodecad) 24.31
15 Finnish (Dodecad) 24.94
16 French (Dodecad) 25.23
17 French (HGDP) 25.69
18 Mixed_Germanic (Dodecad) 26.29
19 Tuscan (Xing) 26.98
20 Tuscan (Henn) 27.14

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 90.6% Slovenian (Xing) + 9.4% Lithuanian (Dodecad) @ 1.93
2 90% Slovenian (Xing) + 10% Lithuanians (Behar) @ 1.93
3 83.2% Slovenian (Xing) + 16.8% Polish (Dodecad) @ 2.09
4 83.6% Slovenian (Xing) + 16.4% Mixed_Slav (Dodecad) @ 2.16
5 89% Slovenian (Xing) + 11% Belorussian (Behar) @ 2.16
6 88.6% Slovenian (Xing) + 11.4% Russian (HGDP) @ 2.3
7 89.5% Slovenian (Xing) + 10.5% Finnish (Dodecad) @ 3.12
8 87% Hungarians (Behar) + 13% FIN (1000Genomes) @ 3.36
9 93.3% Slovenian (Xing) + 6.7% Chuvashs_16 (Behar) @ 3.43
10 90% Hungarians (Behar) + 10% Swedish (Dodecad) @ 3.48
11 89% Hungarians (Behar) + 11% Finnish (Dodecad) @ 3.51
12 91.4% Hungarians (Behar) + 8.6% Norwegian (Dodecad) @ 3.66
13 57% Slovenian (Xing) + 43% Hungarians (Behar) @ 3.68
14 92.2% Slovenian (Xing) + 7.8% FIN (1000Genomes) @ 3.86
15 84.8% Hungarians (Behar) + 15.2% German (Dodecad) @ 3.9
16 58% Mixed_Slav (Dodecad) + 42% French (HGDP) @ 4.01
17 93.7% Hungarians (Behar) + 6.3% Irish (Dodecad) @ 4.07
18 89.4% Hungarians (Behar) + 10.6% N._European (Xing) @ 4.09
19 52.5% Romanians_14 (Behar) + 47.5% FIN (1000Genomes) @ 4.1
20 92.2% Hungarians (Behar) + 7.8% Mixed_Germanic (Dodecad) @ 4.11

Using 3 populations approximation:
1 50% Mixed_Slav_Dodecad +25% O_Italian_Dodecad +25% Swedish_Dodecad @ 1.733112


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++
1 Balkans_Dodecad + Lithuanian_Dodecad + Norwegian_Dodecad + Tuscan_Henn @ 1.497266
2 German_Dodecad + Lithuanian_Dodecad + Tuscan_Henn + Slovenian_Xing @ 1.504418
3 German_Dodecad + Lithuanians_Behar + Tuscan_Henn + Slovenian_Xing @ 1.543717
4 Balkans_Dodecad + Lithuanian_Dodecad + Norwegian_Dodecad + Tuscan_Xing @ 1.551348
5 German_Dodecad + Lithuanians_Behar + Slovenian_Xing + Tuscan_Xing @ 1.572014
6 Ashkenazi_Dodecad + Norwegian_Dodecad + Polish_Dodecad + Polish_Dodecad @ 1.591974
7 German_Dodecad + Lithuanian_Dodecad + Slovenian_Xing + Tuscan_Xing @ 1.594803
8 German_Dodecad + Lithuanian_Dodecad + TSI_HapMap + Slovenian_Xing @ 1.627763
9 Balkans_Dodecad + Lithuanians_Behar + Swedish_Dodecad + Tuscan_Henn @ 1.641569
10 Ashkenazy_Jews_Behar + Norwegian_Dodecad + Polish_Dodecad + Polish_Dodecad @ 1.648277
11 C_Italian_Dodecad + Hungarians_Behar + Lithuanian_Dodecad + Swedish_Dodecad @ 1.649675
12 Balkans_Dodecad + Lithuanian_Dodecad + Norwegian_Dodecad + TSI_HapMap @ 1.655210
13 Mixed_Germanic_Dodecad + Polish_Dodecad + Russian_Dodecad + Tuscan_Henn @ 1.656185
14 Balkans_Dodecad + Lithuanians_Behar + Norwegian_Dodecad + Tuscan_Xing @ 1.702406
15 C_Italian_Dodecad + Lithuanian_Dodecad + Swedish_Dodecad + Slovenian_Xing @ 1.706567
16 Belorussian_Behar + Irish_Dodecad + Mixed_Slav_Dodecad + Tuscan_Xing @ 1.710576
17 Mixed_Slav_Dodecad + Mixed_Slav_Dodecad + O_Italian_Dodecad + Swedish_Dodecad @ 1.733112
18 Balkans_Dodecad + Lithuanians_Behar + Swedish_Dodecad + Tuscan_Xing @ 1.734250
19 German_Dodecad + Lithuanians_Behar + TSI_HapMap + Slovenian_Xing @ 1.745746
20 Mixed_Germanic_Dodecad + Polish_Dodecad + Russian_Dodecad + Tuscan_Xing @ 1.756448