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 -
Printable View
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 -
We have fast the same..(hell87)
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
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.Quote:
Originally Posted by Jackson
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.Quote:
Originally Posted by Herr Hesselink
It could be something fairly distant on my father's side that pops up now and again perhaps?
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.
# 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
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 AsianQuote:
Originally Posted by Herr Hesselink
# 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%
# 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
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
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
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
It usually is, caucasus/fertile crescentQuote:
Originally Posted by Feiichy
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?
# 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?
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
# 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
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.Quote:
Originally Posted by leapfrogger
wrong thread.
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...Quote:
Originally Posted by Journeyman26
My results are nothing like yours!Quote:
Originally Posted by Graham
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
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.Quote:
Originally Posted by Catkin
The AC calculator on 23andme even suffers from it, most likely.
Quote:
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.
0.00% East Euro in Scotland ? :eek:
edit : ok got it
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.Quote:
Originally Posted by Graham
Yeah it's out of sink. Had my 23andme done 4 years ago & Dodecad hasn't updated in a while now.Quote:
Originally Posted by Catkin
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
Yea.. same thing here. I have 0% Ashkenazi on 23andMe, but it shows up on Oracles. I wonder why that is.Quote:
Originally Posted by leapfrogger
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.Quote:
Originally Posted by leapfrogger
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.
Okay, I was wondering where all those Hungarian and Slavic readings were coming from.Quote:
Originally Posted by Graham
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.
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
# 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
# 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
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
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
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
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