puntDNAL K10+Eurasia 4-Ancestors Oracle

[1798]

My results.
# Population Percent
1 Indo_European 84.34
2 Western_Semitic 9.27
3 Amerindian 2.71
4 Dravidian 2.11
5 Omotic 1.57
Using 4 populations approximation:
1 French + French + French + Utahn_Whites @ 1.768504

[Karim]

New and interesting calculotor
my result:

Population
Khoesan 0.58%
Indo_European 14.83%
Amerindian 0.05%
Sino_Tibetan -
Omotic 7.52%
Nilo_Saharan 13.78%
Ubangian_Congo 0.41%
Niger_Congo 36.19%
Western_Semitic 26.60%
Dravidian -

[gatty]

Population
Khoesan -
Indo_European 85.38%
Amerindian 1.85%
Sino_Tibetan 0.06%
Omotic 0.22%
Nilo_Saharan 0.15%
Ubangian_Congo -
Niger_Congo -
Western_Semitic 9.82%
Dravidian 2.51%

Using 1 population approximation:
1 North_European @ 2.309178
2 Belarussian @ 4.428931
3 Hungarian @ 4.815826
4 French @ 6.288888
5 Basque @ 6.479852
6 Lithuanian @ 6.712799
7 Northeast_European @ 11.001744
8 Russian @ 13.209719
9 Utahn_Whites @ 13.740136
10 Tuscan @ 15.583974
11 South_European @ 19.615479
12 Sardinian @ 22.235109
13 Georgian @ 30.961220
14 Caucasian @ 32.552341
15 Turkish @ 34.045807
16 Iranian @ 40.612339
17 Balochi @ 47.263081
18 Palestinian @ 48.681644
19 North_Indian @ 49.622879
20 North_Moroccan @ 50.437286

Using 2 populations approximation:
1 50% Basque +50% Lithuanian @ 1.713155


Using 3 populations approximation:
1 50% North_European +25% Tuscan +25% Utahn_Whites @ 1.096760


Using 4 populations approximation:
1 Lithuanian + North_European + Sardinian + Utahn_Whites @ 1.061220
2 Lithuanian + North_European + South_European + Utahn_Whites @ 1.092787
3 North_European + North_European + Tuscan + Utahn_Whites @ 1.096760
4 Hungarian + Lithuanian + Tuscan + Utahn_Whites @ 1.162771
5 Georgian + North_European + Utahn_Whites + Utahn_Whites @ 1.198041
6 Basque + Lithuanian + Tuscan + Utahn_Whites @ 1.208812
7 French + Lithuanian + Tuscan + Utahn_Whites @ 1.292714
8 Basque + North_European + North_European + North_European @ 1.306140
9 French + French + North_European + Utahn_Whites @ 1.316001
10 Belarussian + North_European + Tuscan + Utahn_Whites @ 1.353414
11 Basque + French + North_European + Utahn_Whites @ 1.402329
12 North_European + North_European + South_European + Utahn_Whites @ 1.478937
13 French + French + Hungarian + Utahn_Whites @ 1.481556
14 French + South_European + Utahn_Whites + Utahn_Whites @ 1.501491
15 French + North_European + North_European + North_European @ 1.504902
16 Basque + Belarussian + French + Utahn_Whites @ 1.516343
17 Basque + Lithuanian + North_European + North_European @ 1.520202
18 French + Sardinian + Utahn_Whites + Utahn_Whites @ 1.529938
19 Basque + French + French + Utahn_Whites @ 1.551028
20 Lithuanian + Lithuanian + Sardinian + Utahn_Whites @ 1.555110

[MMaddi]

I am truly perplexed by this thread and who the original poster is.

The original poster, 1798, is vehemently opposed to the idea that there's any correlation between DNA and languages. That's not such a controversial proposition and there have been several important population genetics studies recently published which report on such correlations. Or course, 1798 is very upset by these studies, especially one that makes a good case for a link between R1b and the origin of Indo-European languages.

Yet he's started a thread about a new gedmatch admixture calculator which does exactly what he denies - analyzes DNA results and then gives a percentage for the language groups that correlate with the results!

I wonder what his motivation for starting this thread is. Has he changed his mind and now believes that there is something to the correlation of DNA and language groups? Or is he just mindlessly trying all the calculators with no regard to how they actually relate to his or others' ancestry?

[MMaddi]

So I tried this calculator to see what it gives me.

Admix Results (sorted):

# Population Percent
1 Indo_European 66.40
2 Western_Semitic 25.46
3 Dravidian 4.90
4 Nilo_Saharan 1.61
5 Amerindian 1.05


Finished reading population data. 73 populations found.
10 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Sardinian @ 5.179973
2 South_European @ 6.710464
3 Georgian @ 8.559165
4 Caucasian @ 9.806931
5 Tuscan @ 9.845584
6 Turkish @ 12.241156
7 Iranian @ 18.151169
8 French @ 18.778086
9 Basque @ 19.197386
10 Hungarian @ 21.179174
11 Northeast_European @ 23.709425
12 Russian @ 24.082066
13 Palestinian @ 24.094612
14 Belarussian @ 26.180470
15 North_Moroccan @ 26.400095
16 North_European @ 26.510344
17 Tunisian @ 28.167694
18 Lithuanian @ 29.960966
19 Balochi @ 30.748907
20 Mozabite @ 33.118149

Using 2 populations approximation:
1 50% Georgian +50% South_European @ 2.653572


Using 3 populations approximation:
1 50% Palestinian +25% Tuscan +25% Utahn_Whites @ 2.075490


Using 4 populations approximation:
1 Georgian + Saudi + South_European + Utahn_Whites @ 1.500836
2 Georgian + Saudi + Sardinian + Utahn_Whites @ 1.610865
3 Georgian + Saudi + Tuscan + Utahn_Whites @ 1.724825
4 Basque + Georgian + North_European + Saudi @ 1.786317
5 Basque + Georgian + Palestinian + Tuscan @ 1.973965
6 Caucasian + Saudi + Tuscan + Utahn_Whites @ 2.063080
7 Georgian + North_European + Palestinian + Sardinian @ 2.063133
8 Palestinian + Palestinian + Tuscan + Utahn_Whites @ 2.075490
9 Caucasian + Saudi + South_European + Utahn_Whites @ 2.104484
10 Georgian + Hungarian + Palestinian + Tuscan @ 2.153438
11 Georgian + French + North_European + Saudi @ 2.200047
12 Basque + Georgian + Hungarian + Saudi @ 2.209640
13 Basque + Georgian + North_Moroccan + Tuscan @ 2.225808
14 Georgian + Egyptian + Tuscan + Utahn_Whites @ 2.226867
15 Lithuanian + Saudi + Sardinian + Tuscan @ 2.254656
16 French + Saudi + Tuscan + Tuscan @ 2.267147
17 Basque + Basque + Georgian + Saudi @ 2.271693
18 Basque + Caucasian + North_European + Saudi @ 2.277433
19 Georgian + Hungarian + Palestinian + South_European @ 2.293898
20 Lithuanian + Saudi + Sardinian + South_European @ 2.294832


Well, it at least got my general ancestry right at the one population estimate, although with not very good resolution. Sardinian is first, with 5.179973, and South European, with 6.710464, is second. Both numbers indicate a not very good probability though.

For the 4 population estimates, the results are not very satisfying or realistic, given my known ancestry: the first given is Georgian + Saudi + South_European + Utahn_Whites @ 1.500836. Unless this is talking about very deep ancestry, it's not even close to being a very plausible result for me.

I just noticed that gedmatch includes this note for the calculator, perhaps written by the developer: "Results are only meaningful for persons who have mostly African ancestry with some Eurasian admixture." Basically, this is not meant to be used for those with no African ancestry. So any results it gives to those with European and little or no African ancestry will be unreliable and probably not accurate, as in my case.

[hazel_ion]

puntDNAL K10+Eurasian Oracle

Admix Results (sorted):

# Population Percent
1 Indo_European 84.47
2 Western_Semitic 8.82
3 Dravidian 3.72
4 Amerindian 2.42


Finished reading population data. 73 populations found.
10 components mode.

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

Least-squares method.

Using 1 population approximation:
1 North_European @ 2.814487
2 Belarussian @ 3.685622
3 Hungarian @ 5.381840
4 Lithuanian @ 5.874786
5 French @ 6.242451
6 Basque @ 7.357381
7 Northeast_European @ 9.683413
8 Russian @ 11.999551
9 Utahn_Whites @ 14.170027
10 Tuscan @ 15.809031
11 South_European @ 19.841009
12 Sardinian @ 22.460316
13 Georgian @ 30.530596
14 Caucasian @ 32.146847
15 Turkish @ 33.598507
16 Iranian @ 40.006863
17 Balochi @ 46.105122
18 North_Indian @ 48.222752
19 Palestinian @ 48.495682
20 North_Moroccan @ 50.343334

Using 2 populations approximation:
1 50% French +50% Lithuanian @ 1.725254


Using 3 populations approximation:
1 50% Lithuanian +25% Sardinian +25% Utahn_Whites @ 1.629258


Using 4 populations approximation:
1 Iranian + Utahn_Whites + Utahn_Whites + Utahn_Whites @ 1.116567
2 Georgian + North_European + Utahn_Whites + Utahn_Whites @ 1.171378
3 Georgian + Lithuanian + Utahn_Whites + Utahn_Whites @ 1.201264
4 Caucasian + Lithuanian + Utahn_Whites + Utahn_Whites @ 1.317869
5 Belarussian + Georgian + Utahn_Whites + Utahn_Whites @ 1.365932
6 Caucasian + North_European + Utahn_Whites + Utahn_Whites @ 1.583418
7 Basque + French + Lithuanian + Lithuanian @ 1.593249
8 French + Lithuanian + North_European + North_European @ 1.619208
9 Lithuanian + Lithuanian + Sardinian + Utahn_Whites @ 1.629258
10 French + Hungarian + Lithuanian + Lithuanian @ 1.677942
11 French + French + Lithuanian + Lithuanian @ 1.725254
12 Lithuanian + Lithuanian + North_European + Tuscan @ 1.740643
13 Basque + Hungarian + Lithuanian + Lithuanian @ 1.772530
14 Belarussian + Caucasian + Utahn_Whites + Utahn_Whites @ 1.859944
15 Lithuanian + Lithuanian + South_European + Utahn_Whites @ 1.884604
16 French + French + Lithuanian + North_European @ 1.891577
17 Belarussian + French + Lithuanian + North_European @ 1.901893
18 French + Lithuanian + Tuscan + Utahn_Whites @ 1.921735
19 Basque + Basque + Lithuanian + Lithuanian @ 1.922024
20 French + Hungarian + Lithuanian + North_European @ 1.932509

[N21163]

These admixture calculators are fun, I am reluctant to take them seriously at this stage (might get close one day)...but Belarus is not even close....

Anyway, puntDNAL K10+Eurasia generates the following results for my kit:

# Population Percent
1 Indo_European 84.93
2 Western_Semitic 6.73
3 Dravidian 3.51
4 Sino_Tibetan 2.93
5 Amerindian 1.34

Using 1 population approximation:
1 Belarussian @ 0.775307
2 North_European @ 3.072026
3 Lithuanian @ 4.423440
4 Hungarian @ 6.649364
5 French @ 8.212326
6 Northeast_European @ 8.451662
7 Basque @ 9.259535
8 Russian @ 10.447889
9 Utahn_Whites @ 13.134509
10 Tuscan @ 17.695396
11 South_European @ 21.698174
12 Sardinian @ 24.341125
13 Georgian @ 32.161476
14 Caucasian @ 33.589520
15 Turkish @ 34.736897
16 Iranian @ 41.412739
17 Balochi @ 46.904778
18 North_Indian @ 48.457348
19 Palestinian @ 50.215759
20 North_Moroccan @ 52.024971

Using 2 populations approximation:
1 50% Belarussian +50% Belarussian @ 0.775307


Using 3 populations approximation:
1 50% Belarussian +25% Belarussian +25% Belarussian @ 0.775307


Using 4 populations approximation:
1 Belarussian + Belarussian + Belarussian + Belarussian @ 0.775307
2 Belarussian + Belarussian + Belarussian + North_European @ 0.818869
3 Belarussian + Belarussian + Hungarian + Lithuanian @ 1.141442
4 Belarussian + Belarussian + Belarussian + Lithuanian @ 1.149304
5 Basque + Lithuanian + Russian + Utahn_Whites @ 1.221832
6 Belarussian + French + Northeast_European + Utahn_Whites @ 1.241203
7 Basque + Belarussian + Russian + Utahn_Whites @ 1.243030
8 Belarussian + Belarussian + Lithuanian + North_European @ 1.250248
9 Belarussian + French + Russian + Utahn_Whites @ 1.301571
10 Belarussian + Hungarian + Lithuanian + Lithuanian @ 1.357281
11 Basque + Belarussian + Northeast_European + Utahn_Whites @ 1.373204
12 Lithuanian + North_European + North_European + Northeast_European @ 1.412326
13 Belarussian + Hungarian + Northeast_European + Utahn_Whites @ 1.413840
14 Belarussian + Hungarian + Russian + Utahn_Whites @ 1.445803
15 Belarussian + Belarussian + North_European + North_European @ 1.446556
16 French + Lithuanian + Russian + Utahn_Whites @ 1.481946
17 Lithuanian + North_European + North_European + Russian @ 1.482886
18 French + North_European + Russian + Utahn_Whites @ 1.511335
19 Basque + Lithuanian + Northeast_European + Utahn_Whites @ 1.629339
20 Belarussian + Lithuanian + North_European + Northeast_European @ 1.650013

[1798]

The K15 and dodecad V3 are the best for me. We need someone to create a west European calculator.

[1798]

Motala 12 7,500 ybp
# Population Percent
1 Indo_European 95.46
2 Amerindian 4.54

Using 1 population approximation:
1 Utahn_Whites @ 2.588857
2 Lithuanian @ 10.980042
3 North_European @ 12.862579
4 Belarussian @ 14.177192
5 Hungarian @ 18.374643
6 Northeast_European @ 20.326088
7 French @ 20.594271
8 Basque @ 20.633636
9 Russian @ 22.007721
10 Tuscan @ 30.023466
11 South_European @ 33.937862
12 Sardinian @ 36.551491
13 Georgian @ 45.229275
14 Caucasian @ 46.786278
15 Turkish @ 47.916416
16 Iranian @ 54.520828
17 Balochi @ 59.473267
18 North_Indian @ 60.162472
19 Palestinian @ 62.954056
20 Punjabi @ 64.119919

Using 2 populations approximation:
1 50% Utahn_Whites +50% Utahn_Whites @ 2.588857


Using 3 populations approximation:
1 50% Utahn_Whites +25% Utahn_Whites +25% Utahn_Whites @ 2.588857


Using 4 populations approximation:
1 Lithuanian + Utahn_Whites + Utahn_Whites + Utahn_Whites @ 3.768630
2 North_European + Utahn_Whites + Utahn_Whites + Utahn_Whites @ 4.313569
3 Belarussian + Utahn_Whites + Utahn_Whites + Utahn_Whites @ 4.514183
4 Northeast_European + Utahn_Whites + Utahn_Whites + Utahn_Whites @ 5.463090
5 Hungarian + Utahn_Whites + Utahn_Whites + Utahn_Whites @ 5.553356
6 Russian + Utahn_Whites + Utahn_Whites + Utahn_Whites @ 5.808041
7 Lithuanian + Lithuanian + Utahn_Whites + Utahn_Whites @ 5.971954
8 French + Utahn_Whites + Utahn_Whites + Utahn_Whites @ 6.061203
9 Basque + Utahn_Whites + Utahn_Whites + Utahn_Whites @ 6.259562
10 Lithuanian + North_European + Utahn_Whites + Utahn_Whites @ 6.369928
11 Belarussian + Lithuanian + Utahn_Whites + Utahn_Whites @ 6.718479
12 North_European + North_European + Utahn_Whites + Utahn_Whites @ 7.005288
13 Belarussian + North_European + Utahn_Whites + Utahn_Whites @ 7.241044
14 Belarussian + Belarussian + Utahn_Whites + Utahn_Whites @ 7.570876
15 Hungarian + Lithuanian + Utahn_Whites + Utahn_Whites @ 7.615905
16 Lithuanian + Northeast_European + Utahn_Whites + Utahn_Whites @ 7.928711
17 Basque + Lithuanian + Utahn_Whites + Utahn_Whites @ 8.222757
18 French + Lithuanian + Utahn_Whites + Utahn_Whites @ 8.225182
19 Lithuanian + Russian + Utahn_Whites + Utahn_Whites @ 8.266680
20 Hungarian + North_European + Utahn_Whites + Utahn_Whites @ 8.329771