I tested with both FTDNA (12 markers) and 23andMe. PF2272 is only another name for V65.Quote:
Originally Posted by leapfrogger
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I tested with both FTDNA (12 markers) and 23andMe. PF2272 is only another name for V65.Quote:
Originally Posted by leapfrogger
How good do you think this calculator is compared to the rest?Quote:
Originally Posted by Sikeliot
I think it is good.Quote:
Originally Posted by Neon Knight
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
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
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
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.
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
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.Quote:
Originally Posted by Gooding
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.
Nothing is perfect yet though.
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.
Is Dienekes still in the calculator making game ?Quote:
Originally Posted by Graham