Post your Dodecad Globe13.

[Voskos]

Calculator files: https://drive.google.com/file/d/0B7JDEoCgzRKeNV9VaW9KOU43NW8/view
Spreadsheet:https://docs.google.com/spreadsheets/d/1FTCC6UyauUeBhPrA9aHzr7DLEnVq5q-wnTsfpe2a9Jg/edit?pli=1&pli=1#gid=24


0.03% Siberian
0.42% Amerindian
0.06% West_African
0.01% Palaeo_African
18.69% Southwest_Asian
0.02% East_Asian
35.19% Mediterranean
1.17% Australasian
0.05% Arctic
25.86% West_Asian
17.65% North_European
0.00% South_Asian
0.85% East_African

[Sikeliot]

Calculator files: https://drive.google.com/file/d/0B7JDEoCgzRKeNV9VaW9KOU43NW8/view
Spreadsheet:https://docs.google.com/spreadsheets/d/1FTCC6UyauUeBhPrA9aHzr7DLEnVq5q-wnTsfpe2a9Jg/edit?pli=1&pli=1#gid=24


0.03% Siberian
0.42% Amerindian
0.06% West_African
0.01% Palaeo_African
18.69% Southwest_Asian
0.02% East_Asian
35.19% Mediterranean
1.17% Australasian
0.05% Arctic
25.86% West_Asian
17.65% North_European
0.00% South_Asian
0.85% East_African


You are close to the South Italian/Sicilian averages unsurprisingly.

[Iloko]

http://i.imgur.com/ofg9eoB.jpg

[Damião de Góis]

Mediterranean 41.6
North_European 36.5
West_Asian 10.1
Southwest_Asian 7.6
East_African 2.2
West_African 0.9
Australasian 0.7
Palaeo_African 0.3
Siberian 0
Amerindian 0
East_Asian 0
Arctic 0
South_Asian 0

Is there any Oracle for this?

[Voskos]

Is there any Oracle for this?

I don't think so but you can always convert the spreadsheet to a .txt and then use admix4. (it takes a lot of time though)

[Hadouken]

43.87% West_Asian
22.00% Mediterranean
18.92% Southwest_Asian
6.21% North_European
4.46% South_Asian
1.33% East_Asian
1.14% Amerindian
0.82% Siberian
0.66% West_African
0.33% Palaeo_African
0.25% Arctic
0.00% Australasian
0.00% East_African

[Brás Garcia de Mascarenhas]

How can I run this? Is there a tutorial?

[Dibran]

LivingDNA:

65702

[Voskos]

How can I run this? Is there a tutorial?
http://www.anthrogenica.com/archive/index.php/t-4879.html

[Rius]

34.30% West_Asian
24.85% Mediterranean
16.54% Southwest_Asian
14.50% North_European
4.47% East_Asian
1.84% Siberian
1.79% Arctic
1.10% South_Asian
0.57% Palaeo_African
0.02% East_African
0.00% Amerindian
0.00% West_African
0.00% Australasian

[Rius]

Oracle file :
https://drive.google.com/open?id=0B2pSTwEX9zWcYnQySGU5emtvdTg


Using 1 population approximation:
1 Turkish_Aydin_Ho @ 8,623716
2 Turks @ 9,483924
3 Turkish_Kayseri_Ho @ 9,568125
4 Turkish_D @ 9,964088
5 Turkish_Istanbul_Ho @ 10,544839
6 Turkish_Cypriot_D @ 14,563778
7 Lebanese @ 14,926775
8 Kumyks_Y @ 14,935487
9 Cypriots @ 17,587713
10 Uzbekistan_Jews @ 17,911316
285 iterations.

Using 2 populations approximation:
1 Ashkenazi_D+Turkmens_Y @ 5,144434
2 Ashkenazy_Jews+Turkmens_Y @ 5,198758
3 Ashkenazy_Jews+Kumyks_Y @ 5,336789
4 Ashkenazi_D+Kumyks_Y @ 5,485745
5 S_Italian_Sicilian_D+Turkmens_Y @ 5,782139
6 Sicilian_D+Turkmens_Y @ 5,915561
7 Greek_D+Iranian_D @ 6,253202
8 Kumyks_Y+Sephardic_Jews @ 6,312153
9 Greek_D+Iranians @ 6,344396
10 Kumyks_Y+Morocco_Jews @ 6,636275
40755 iterations.

Using 3 populations approximation:
1 50% Assyrian_D +25% Nogais_Y +25% Romanians @ 3,610973
2 50% Uzbekistan_Jews +25% Nogais_Y +25% O_Italian_D @ 3,640143
3 50% Georgia_Jews +25% Nogais_Y +25% Romanians @ 3,733157
4 50% Assyrian_D +25% Bulgarian_D +25% Nogais_Y @ 3,779133
5 50% Uzbekistan_Jews +25% N_Italian_D +25% Nogais_Y @ 3,787833
6 50% Georgia_Jews +25% Bulgarian_D +25% Nogais_Y @ 3,804357
7 50% Georgia_Jews +25% Bulgarians_Y +25% Nogais_Y @ 3,81935
8 50% Assyrian_D +25% Nogais_Y +25% Serb_D @ 3,822634
9 50% Assyrian_D +25% Bulgarians_Y +25% Nogais_Y @ 3,843974
10 50% Azerbaijan_Jews +25% Nogais_Y +25% Romanians @ 3,846866
4569231 iterations.

Using 4 populations approximation:
1 Bulgarian_D+Druze+Turkish_Istanbul_Ho+Turkmens_Y @ 3,033191
2 Bulgarians_Y+Druze+Turkish_Istanbul_Ho+Turkmens_Y @ 3,14022
3 Druze+Romanians+Turkish_Istanbul_Ho+Turkmens_Y @ 3,171115
4 Bulgarian_D+Georgia_Jews+Turkish_Cypriot_D+Turkmen s_Y @ 3,408875
5 Georgia_Jews+Romanians+Turkish_Cypriot_D+Turkmens_ Y @ 3,410377
6 Bulgarian_D+Turkish_Cypriot_D+Turkmens_Y+Uzbekista n_Jews @ 3,431262
7 Bulgarian_D+Druze+Turkish_Kayseri_Ho+Turkmens_Y @ 3,445071
8 Bulgarian_D+Druze+Turkmens_Y+Turks @ 3,449409
9 Druze+Serb_D+Turkish_Istanbul_Ho+Turkmens_Y @ 3,453706
10 Bulgarian_D+Druze+Turkish_D+Turkmens_Y @ 3,465774

Gaussian method.
Noise dispersion set to 0,384776

Using 1 population approximation:
1 Turkish_Istanbul_Ho @ 4,855839
2 Turkish_Kayseri_Ho @ 5,461998
3 Turkish_D @ 5,463748
4 Turks @ 5,472774
5 Turkish_Aydin_Ho @ 6,085647
6 Kumyks_Y @ 7,461049
7 Adygei @ 7,857383
8 Balkars_Y @ 8,112661
9 North_Ossetians_Y @ 8,382091
10 Turkish_Cypriot_D @ 9,193492
285 iterations.

Using 2 populations approximation:
1 Greek_D+Turkish_Istanbul_Ho @ 4,39035
2 Ashkenazi_D+Turkish_Istanbul_Ho @ 4,672956
3 Turkish_Aydin_Ho+Turkish_Istanbul_Ho @ 4,705477
4 Turkish_Aydin_Ho+Turks @ 4,851714
5 Turkish_Istanbul_Ho+Turkish_Istanbul_Ho @ 4,855839
6 Cypriots+Nogais_Y @ 4,864227
7 Ashkenazy_Jews+Turkish_Istanbul_Ho @ 4,896015
8 Turkish_Aydin_Ho+Turkish_Kayseri_Ho @ 4,94056
9 Georgia_Jews+Nogais_Y @ 4,944634
10 Turkish_D+Turkish_Istanbul_Ho @ 4,999006
40755 iterations.

Using 3 populations approximation:
1 50% Turkish_Istanbul_Ho +25% Bulgarian_D +25% Turkish_Istanbul_Ho @ 3,19726
2 50% Turkish_Istanbul_Ho +25% Bulgarians_Y +25% Turkish_Istanbul_Ho @ 3,226153
3 50% Turkish_Istanbul_Ho +25% Romanians +25% Turkish_Istanbul_Ho @ 3,417637
4 50% Turkish_Istanbul_Ho +25% Bulgarian_D +25% Turks @ 3,422741
5 50% Turkish_Istanbul_Ho +25% Serb_D +25% Turkish_Istanbul_Ho @ 3,428696
6 50% Turkish_Istanbul_Ho +25% Greek_D +25% Turkish_Istanbul_Ho @ 3,440512
7 50% Assyrian_D +25% Bulgarians_Y +25% Nogais_Y @ 3,443902
8 50% Turkish_Istanbul_Ho +25% Bulgarian_D +25% Turkish_Kayseri_Ho @ 3,458966
9 50% Assyrian_D +25% Bulgarian_D +25% Nogais_Y @ 3,464146
10 50% Turkish_Istanbul_Ho +25% Bulgarians_Y +25% Turks @ 3,478261
10131038 iterations.

Using 4 populations approximation:
1 Bulgarian_D+Turkish_Istanbul_Ho+Turkish_Istanbul_H o+Turkish_Istanbul_Ho @ 3,19726
2 Bulgarians_Y+Turkish_Istanbul_Ho+Turkish_Istanbul_ Ho+Turkish_Istanbul_Ho @ 3,226153
3 Romanians+Turkish_Istanbul_Ho+Turkish_Istanbul_Ho+ Turkish_Istanbul_Ho @ 3,417637
4 Bulgarian_D+Turkish_Istanbul_Ho+Turkish_Istanbul_H o+Turks @ 3,422741
5 Serb_D+Turkish_Istanbul_Ho+Turkish_Istanbul_Ho+Tur kish_Istanbul_Ho @ 3,428696
6 Assyrian_D+Bulgarians_Y+Georgia_Jews+Nogais_Y @ 3,437163
7 Greek_D+Turkish_Istanbul_Ho+Turkish_Istanbul_Ho+Tu rkish_Istanbul_Ho @ 3,440512
8 Assyrian_D+Assyrian_D+Bulgarians_Y+Nogais_Y @ 3,443902
9 Bulgarian_D+Turkish_Istanbul_Ho+Turkish_Istanbul_H o+Turkish_Kayseri_Ho @ 3,458966
10 Assyrian_D+Assyrian_D+Bulgarian_D+Nogais_Y @ 3,464146
11 Bulgarians_Y+Turkish_Istanbul_Ho+Turkish_Istanbul_ Ho+Turks @ 3,478261
12 Assyrian_D+Bulgarian_D+Georgia_Jews+Nogais_Y @ 3,483659
13 Bulgarian_D+Georgia_Jews+Turkish_Istanbul_Ho+Turki sh_Istanbul_Ho @ 3,493775
14 Bulgarians_Y+Turkish_Istanbul_Ho+Turkish_Istanbul_ Ho+Turkish_Kayseri_Ho @ 3,500147
15 Assyrian_D+Bulgarian_D+Turkish_Istanbul_Ho+Turkish _Istanbul_Ho @ 3,506278
16 Bulgarian_D+Turkish_D+Turkish_Istanbul_Ho+Turkish_ Istanbul_Ho @ 3,51163
17 Assyrian_D+Greek_D+Nogais_Y+Turkish_Istanbul_Ho @ 3,515501
18 Georgia_Jews+Greek_D+Nogais_Y+Turkish_Istanbul_Ho @ 3,516567
19 Bulgarians_Y+Georgia_Jews+Turkish_Istanbul_Ho+Turk ish_Istanbul_Ho @ 3,527305
20 Armenians_15_Y+Bulgarians_Y+Georgia_Jews+Nogais_Y @ 3,533082
184552088 iterations.

[Hadouken]

can you do mine too Rius :o

[Lek]

Mine too :)

[Rius]

can you do mine too Rius :o

Using 1 population approximation:
1 Kurds_Y @ 5,573689
2 Kurd_D @ 6,05476
3 Iranian_D @ 6,267026
4 Uzbekistan_Jews @ 6,569385
5 Iranians @ 7,033942
6 Turkish_Istanbul_Ho @ 8,584002
7 Turks @ 8,785787
8 Turkish_Kayseri_Ho @ 9,508209
9 Turkish_D @ 9,659085
10 Georgia_Jews @ 9,743276
285 iterations.

Using 2 populations approximation:
1 Iranians+Turkish_Kayseri_Ho @ 2,505354
2 Iranians+Turkish_D @ 2,583171
3 Iranians+Turks @ 2,632402
4 Iranians+Turkish_Istanbul_Ho @ 2,961073
5 Kurds_Y+Turks @ 3,360776
6 Kurds_Y+Turkish_Kayseri_Ho @ 3,586682
7 Kurd_D+Turks @ 3,68783
8 Iranian_D+Turkish_Kayseri_Ho @ 3,898318
9 Kurds_Y+Turkish_D @ 3,914499
10 Kurd_D+Turkish_Kayseri_Ho @ 3,917663
40755 iterations.

Using 3 populations approximation:
1 50% Iranians +25% Druze +25% Kumyks_Y @ 1,710511
2 50% Azerbaijan_Jews +25% Tajiks_Y +25% Uzbekistan_Jews @ 1,79039
3 50% Georgia_Jews +25% Azerbaijan_Jews +25% Tajiks_Y @ 2,02114
4 50% Iranians +25% Balkars_Y +25% Druze @ 2,034869
5 50% Kurds_Y +25% Druze +25% Turkmens_Y @ 2,039965
6 50% Assyrian_D +25% Tajiks_Y +25% Uzbekistan_Jews @ 2,042457
7 50% Azerbaijan_Jews +25% Georgia_Jews +25% Tajiks_Y @ 2,055973
8 50% Iranians +25% Balkars_Y +25% Syrians @ 2,083156
9 50% Iranians +25% Kurds_Y +25% Turkish_Cypriot_D @ 2,083317
10 50% Iranians +25% Georgia_Jews +25% Turkish_Aydin_Ho @ 2,099736
2463344 iterations.

Using 4 populations approximation:
1 Druze+Iranians+Iranians+Kumyks_Y @ 1,710511
2 Azerbaijan_Jews+Azerbaijan_Jews+Tajiks_Y+Uzbekista n_Jews @ 1,79039
3 Armenian_D+Assyrian_D+Tajiks_Y+Uzbekistan_Jews @ 1,845917
4 Armenian_D+Azerbaijan_Jews+Tajiks_Y+Uzbekistan_Jew s @ 1,8645
5 Georgians+Kurds_Y+Samaritan_All+Tajiks_Y @ 1,884701
6 Armenian_D+Georgia_Jews+Tajiks_Y+Uzbekistan_Jews @ 1,885334
7 Assyrian_D+Azerbaijan_Jews+Tajiks_Y+Uzbekistan_Jew s @ 1,89132
8 Azerbaijan_Jews+Georgia_Jews+Tajiks_Y+Uzbekistan_J ews @ 1,891356
9 Georgians+Kurd_D+Samaritan_All+Tajiks_Y @ 1,894423
10 Armenians_15_Y+Druze+Kurds_Y+Tajiks_Y @ 1,905242
11 Druze+Iranian_D+Iranians+Kumyks_Y @ 1,914289
12 Armenians_15_Y+Druze+Kurd_D+Tajiks_Y @ 1,919392
13 Armenians+Iraq_Jews+Tajiks_Y+Uzbekistan_Jews @ 1,922708
14 Armenians_15_Y+Assyrian_D+Tajiks_Y+Uzbekistan_Jews @ 1,929357
15 Armenians_15_Y+Azerbaijan_Jews+Tajiks_Y+Uzbekistan _Jews @ 1,947464
16 Azerbaijan_Jews+Georgian_D+Syrians+Tajiks_Y @ 1,9598
17 Armenian_D+Druze+Kurds_Y+Tajiks_Y @ 1,963788
18 Armenians_15_Y+Georgia_Jews+Tajiks_Y+Uzbekistan_Je ws @ 1,978303
19 Iranian_D+Iranians+Kurds_Y+Turkish_Cypriot_D @ 1,98205
20 Armenian_D+Druze+Kurd_D+Tajiks_Y @ 1,991958
2491355 iterations.


Gaussian method.
Noise dispersion set to 0,384776

Using 1 population approximation:
1 Kurds_Y @ 2,663338
2 Kurd_D @ 3,52312
3 Uzbekistan_Jews @ 4,128452
4 Iranians @ 4,537086
5 Iranian_D @ 4,762086
6 Turks @ 5,920215
7 Turkish_Kayseri_Ho @ 6,455657
8 Turkish_D @ 7,512674
9 Turkish_Istanbul_Ho @ 7,73324
10 Lebanese @ 7,760145
285 iterations.

Using 2 populations approximation:
1 Kurds_Y+Kurds_Y @ 2,663338
2 Georgia_Jews+Kurds_Y @ 2,884497
3 Kurds_Y+Uzbekistan_Jews @ 3,13043
4 Kurd_D+Kurds_Y @ 3,154159
5 Georgia_Jews+Iranians @ 3,450419
6 Georgia_Jews+Kurd_D @ 3,46847
7 Kurd_D+Uzbekistan_Jews @ 3,482939
8 Kurd_D+Kurd_D @ 3,52312
9 Iranians+Kurds_Y @ 3,554896
10 Kurds_Y+Turkish_D @ 3,715119
40755 iterations.

Using 3 populations approximation:
1 50% Kurds_Y +25% Georgia_Jews +25% Kurds_Y @ 2,204862
2 50% Kurds_Y +25% Georgia_Jews +25% Kurd_D @ 2,561588
3 50% Kurds_Y +25% Georgia_Jews +25% Iranians @ 2,569626
4 50% Georgia_Jews +25% Georgia_Jews +25% Pathan @ 2,642839
5 50% Azerbaijan_Jews +25% Iranians +25% Kumyks_Y @ 2,665219
6 50% Kurds_Y +25% Iranian_Jews +25% Kurds_Y @ 2,69087
7 50% Kurds_Y +25% Kurds_Y +25% Turkish_D @ 2,693073
8 50% Kurds_Y +25% Azerbaijan_Jews +25% Kumyks_Y @ 2,760619
9 50% Kurds_Y +25% Azerbaijan_Jews +25% Kurds_Y @ 2,768556
10 50% Kurds_Y +25% Kurds_Y +25% Turkish_Kayseri_Ho @ 2,773843
8513556 iterations.

Using 4 populations approximation:
1 Georgia_Jews+Kurds_Y+Kurds_Y+Kurds_Y @ 2,204862
2 Georgia_Jews+Kurd_D+Kurds_Y+Kurds_Y @ 2,561588
3 Georgia_Jews+Iranians+Kurds_Y+Kurds_Y @ 2,569626
4 Georgia_Jews+Georgia_Jews+Georgia_Jews+Pathan @ 2,642839
5 Kurds_Y+Kurds_Y+Kurds_Y+Kurds_Y @ 2,663338
6 Azerbaijan_Jews+Azerbaijan_Jews+Iranians+Kumyks_Y @ 2,665219
7 Iranian_Jews+Kurds_Y+Kurds_Y+Kurds_Y @ 2,69087
8 Kurds_Y+Kurds_Y+Kurds_Y+Turkish_D @ 2,693073
9 Azerbaijan_Jews+Kumyks_Y+Kurds_Y+Kurds_Y @ 2,760619
10 Azerbaijan_Jews+Kurds_Y+Kurds_Y+Kurds_Y @ 2,768556
11 Kurds_Y+Kurds_Y+Kurds_Y+Turkish_Kayseri_Ho @ 2,773843
12 Azerbaijan_Jews+Georgia_Jews+Iranians+Kumyks_Y @ 2,789282
13 Assyrian_D+Kurds_Y+Kurds_Y+Kurds_Y @ 2,792438
14 Azerbaijan_Jews+Kurds_Y+Kurds_Y+Turkish_D @ 2,795832
15 Georgia_Jews+Iranians+Kurd_D+Kurds_Y @ 2,823928
16 Kurds_Y+Kurds_Y+Kurds_Y+Uzbekistan_Jews @ 2,82536
17 Kurds_Y+Kurds_Y+Kurds_Y+Turkish_Istanbul_Ho @ 2,829559
18 Azerbaijan_Jews+Kurds_Y+Kurds_Y+Turkish_Kayseri_Ho @ 2,837292
19 Azerbaijan_Jews+Kurds_Y+Kurds_Y+Turkish_Istanbul_H o @ 2,850242
20 Georgia_Jews+Kurd_D+Kurd_D+Kurds_Y @ 2,853137
111208272 iterations.

[Rius]

Mine too :)

Where is your admixture results ? :)

[Hadouken]

thanks but wait a minute. ...this oracle seems familiar . it is possible that we already did this calculator but I couldnt find any thread . and I thought this might be a calculator we didnt contribute yet . :mad:

[Rius]

thanks but wait a minute. ...this oracle seems familiar . it is possible that we already did this calculator but I couldnt find any thread . and I thought this might be a calculator we didnt contribute yet . :mad:

maybe, I don't remember :confused:

[Lek]

Where is your admixture results ? :)

Which gedmatch dodecad calc you need? :)

[Rius]

Which gedmatch dodecad calc you need? :)

Oh, gedmatch don't include this calc. You need to do it by yourself, check the first entry.

[Lek]

Oh, gedmatch don't include this calc. You need to do it by yourself, check the first entry.

Ahh fuck that :P

[Hadouken]

Ahh fuck that :P

http://i0.kym-cdn.com/photos/images/newsfeed/000/415/945/55b.gif

[Damião de Góis]

Least-squares method.

Using 1 population approximation:
1 N_Italian_D @ 5,798167
2 Portuguese_D @ 6,964331
3 Galicia_1KG @ 7,242877
4 Baleares_1KG @ 7,399438
5 Extremadura_1KG @ 7,54124
6 Brazilian_D @ 7,833749
7 North_Italian @ 8,192995
8 Spaniards @ 8,283327
9 Murcia_1KG @ 8,915693
10 Cataluna_1KG @ 9,176125
11 Castilla_Y_Leon_1KG @ 9,54194
12 Castilla_La_Mancha_1KG @ 9,74635
13 Spanish_D @ 10,399237
14 Canarias_1KG @ 10,944098
15 Valencia_1KG @ 10,95784
16 O_Italian_D @ 11,253352
17 Cantabria_1KG @ 11,316561
18 Andalucia_1KG @ 11,618777
19 French_D @ 11,729194
20 French @ 12,279913
285 iterations.

Using 2 populations approximation:
1 Canarias_1KG+Serb_D @ 2,557746
2 Bulgarians_Y+Cantabria_1KG @ 2,576196
3 Bulgarians_Y+Spanish_D @ 2,646727
4 Bulgarians_Y+Castilla_La_Mancha_1KG @ 2,660458
5 Andalucia_1KG+Romanians @ 2,662463
6 Bulgarians_Y+Castilla_Y_Leon_1KG @ 2,723947
7 Aragon_1KG+Bulgarians_Y @ 2,743643
8 Aragon_1KG+Bulgarian_D @ 2,747232
9 Bulgarian_D+Cantabria_1KG @ 2,763717
10 Andalucia_1KG+Serb_D @ 2,858669
11 Bulgarians_Y+Valencia_1KG @ 2,892809
12 Castilla_La_Mancha_1KG+Romanians @ 2,907888
13 Bulgarian_D+Spanish_D @ 2,953248
14 Bulgarian_D+Castilla_La_Mancha_1KG @ 2,982444
15 Aragon_1KG+Romanians @ 3,043208
16 Castilla_Y_Leon_1KG+Romanians @ 3,063918
17 Bulgarian_D+Valencia_1KG @ 3,065259
18 Cantabria_1KG+Romanians @ 3,073779
19 Romanians+Spanish_D @ 3,123047
20 Bulgarian_D+Castilla_Y_Leon_1KG @ 3,145633
40755 iterations.

Using 3 populations approximation:
1 50% Canarias_1KG +25% German_D +25% O_Italian_D @ 1,300003
2 50% Canarias_1KG +25% Mixed_Germanic_D +25% O_Italian_D @ 1,324806
3 50% Canarias_1KG +25% Dutch_D +25% O_Italian_D @ 1,39394
4 50% Canarias_1KG +25% Bulgarian_D +25% French @ 1,414572
5 50% Canarias_1KG +25% Argyll_1KG +25% O_Italian_D @ 1,453411
6 50% Canarias_1KG +25% Greek_D +25% Orkney_1KG @ 1,456198
7 50% Canarias_1KG +25% Bulgarians_Y +25% French @ 1,490985
8 50% Canarias_1KG +25% Austrian_D +25% O_Italian_D @ 1,534974
9 50% Canarias_1KG +25% C_Italian_D +25% Norwegian_D @ 1,542126
10 50% Canarias_1KG +25% Greek_D +25% Norwegian_D @ 1,575505
11 50% Canarias_1KG +25% Greek_D +25% Irish_D @ 1,579082
12 50% Canarias_1KG +25% Hungarians +25% O_Italian_D @ 1,58191
13 50% Canarias_1KG +25% Greek_D +25% Orcadian @ 1,631355
14 50% Canarias_1KG +25% Bulgarian_D +25% French_D @ 1,656931
15 50% Canarias_1KG +25% CEU30 +25% O_Italian_D @ 1,662757
16 50% Canarias_1KG +25% French +25% Romanians @ 1,662797
17 50% Canarias_1KG +25% German_D +25% Tuscan @ 1,671792
18 50% Canarias_1KG +25% Hungarians +25% N_Italian_D @ 1,680882
19 50% Canarias_1KG +25% C_Italian_D +25% Swedish_D @ 1,68699
20 50% Canarias_1KG +25% Argyll_1KG +25% Greek_D @ 1,690184
3646679 iterations.

Using 4 populations approximation:
1 Canarias_1KG+Canarias_1KG+German_D+O_Italian_D @ 1,300003
2 Canarias_1KG+Castilla_La_Mancha_1KG+Norwegian_D+S_ Italian_Sicilian_D @ 1,311292
3 Canarias_1KG+Castilla_La_Mancha_1KG+Norwegian_D+Si cilian_D @ 1,312493
4 Canarias_1KG+Canarias_1KG+Mixed_Germanic_D+O_Itali an_D @ 1,324806
5 Canarias_1KG+Greek_D+Orcadian+Portuguese_D @ 1,341822
6 British_Isles_D+Canarias_1KG+Greek_D+Portuguese_D @ 1,341956
7 Canarias_1KG+Norwegian_D+S_Italian_Sicilian_D+Span iards @ 1,350076
8 British_D+Canarias_1KG+Greek_D+Portuguese_D @ 1,353838
9 Canarias_1KG+Norwegian_D+Sicilian_D+Spaniards @ 1,354155
10 Canarias_1KG+Greek_D+Irish_D+Portuguese_D @ 1,37037
11 Canarias_1KG+Canarias_1KG+Dutch_D+O_Italian_D @ 1,39394
12 Canarias_1KG+Extremadura_1KG+Norwegian_D+Sicilian_ D @ 1,397762
13 Canarias_1KG+Extremadura_1KG+Norwegian_D+S_Italian _Sicilian_D @ 1,402352
14 Canarias_1KG+Extremadura_1KG+Greek_D+Orcadian @ 1,40824
15 Andalucia_1KG+Canarias_1KG+Hungarians+O_Italian_D @ 1,409794
16 Bulgarian_D+Canarias_1KG+Canarias_1KG+French @ 1,414572
17 British_D+Canarias_1KG+Extremadura_1KG+Greek_D @ 1,419298
18 Canarias_1KG+Greek_D+Kent_1KG+Portuguese_D @ 1,42146
19 Canarias_1KG+Norwegian_D+S_Italian_Sicilian_D+Vale ncia_1KG @ 1,425958
20 Canarias_1KG+Extremadura_1KG+Greek_D+Irish_D @ 1,427642
21 Canarias_1KG+Greek_D+Orkney_1KG+Portuguese_D @ 1,42976
22 Argyll_1KG+Canarias_1KG+Greek_D+Portuguese_D @ 1,432601
23 Canarias_1KG+English_D+Greek_D+Portuguese_D @ 1,437343
24 British_Isles_D+Canarias_1KG+Extremadura_1KG+Greek _D @ 1,445675
25 Argyll_1KG+Canarias_1KG+Canarias_1KG+O_Italian_D @ 1,453411
26 British_D+Canarias_1KG+Galicia_1KG+Greek_D @ 1,454919
27 Canarias_1KG+Canarias_1KG+Greek_D+Orkney_1KG @ 1,456198
28 Canarias_1KG+Galicia_1KG+Greek_D+Kent_1KG @ 1,462357
29 Canarias_1KG+Cantabria_1KG+Norwegian_D+S_Italian_S icilian_D @ 1,464564
30 British_Isles_D+Canarias_1KG+Galicia_1KG+Greek_D @ 1,465434
31 Canarias_1KG+Extremadura_1KG+Greek_D+Orkney_1KG @ 1,46556
32 Austrian_D+Canarias_1KG+Extremadura_1KG+O_Italian_ D @ 1,465637
33 Austrian_D+Canarias_1KG+Murcia_1KG+O_Italian_D @ 1,471654
34 Canarias_1KG+Norwegian_D+Sicilian_D+Valencia_1KG @ 1,47402
35 Canarias_1KG+Greek_D+Murcia_1KG+Orkney_1KG @ 1,475739
36 Canarias_1KG+English_D+Galicia_1KG+Greek_D @ 1,47676
37 Argyll_1KG+Canarias_1KG+Extremadura_1KG+Greek_D @ 1,482334
38 Canarias_1KG+Norwegian_D+S_Italian_Sicilian_D+Span ish_D @ 1,482467
39 Canarias_1KG+Galicia_1KG+Greek_D+Orcadian @ 1,482686
40 Canarias_1KG+CEU30+Greek_D+Portuguese_D @ 1,487209
10009729 iterations.

Gaussian method.
Noise dispersion set to 0,384776

Using 1 population approximation:
1 Spaniards @ 2,997192
2 Murcia_1KG @ 3,399483
3 Portuguese_D @ 3,616287
4 Galicia_1KG @ 3,703159
5 Extremadura_1KG @ 3,796933
6 Castilla_Y_Leon_1KG @ 3,96504
7 Castilla_La_Mancha_1KG @ 3,999876
8 Andalucia_1KG @ 4,117759
9 Spanish_D @ 4,233752
10 Cantabria_1KG @ 4,592562
11 Valencia_1KG @ 4,706724
12 Canarias_1KG @ 5,096405
13 Aragon_1KG @ 5,471539
14 N_Italian_D @ 5,644135
15 Brazilian_D @ 5,744317
16 North_Italian @ 5,806047
17 Baleares_1KG @ 6,128537
18 O_Italian_D @ 6,253682
19 Cataluna_1KG @ 6,257378
20 TSI30 @ 6,518888
285 iterations.

Using 2 populations approximation:
1 Galicia_1KG+N_Italian_D @ 2,491704
2 N_Italian_D+Portuguese_D @ 2,496283
3 Murcia_1KG+Serb_D @ 2,598807
4 Murcia_1KG+N_Italian_D @ 2,634409
5 Portuguese_D+Serb_D @ 2,738027
6 N_Italian_D+Spaniards @ 2,792852
7 North_Italian+Portuguese_D @ 2,797764
8 Castilla_Y_Leon_1KG+N_Italian_D @ 2,831238
9 Galicia_1KG+North_Italian @ 2,834672
10 Galicia_1KG+Serb_D @ 2,835773
11 Castilla_Y_Leon_1KG+Serb_D @ 2,902013
12 Galicia_1KG+O_Italian_D @ 2,95099
13 Extremadura_1KG+N_Italian_D @ 2,952337
14 Murcia_1KG+North_Italian @ 2,977522
15 Spaniards+Spaniards @ 2,997192
16 Serb_D+Spaniards @ 3,004739
17 Canarias_1KG+Serb_D @ 3,026346
18 Murcia_1KG+Spaniards @ 3,027853
19 North_Italian+Spaniards @ 3,04694
20 Galicia_1KG+TSI30 @ 3,051426
40755 iterations.

Using 3 populations approximation:
1 50% North_Italian +25% Canarias_1KG +25% German_D @ 2,067547
2 50% N_Italian_D +25% Canarias_1KG +25% German_D @ 2,128506
3 50% Spaniards +25% German_D +25% Morocco_Jews @ 2,183655
4 50% Spaniards +25% German_D +25% Sephardic_Jews @ 2,191163
5 50% Spaniards +25% German_D +25% S_Italian_Sicilian_D @ 2,216526
6 50% Murcia_1KG +25% German_D +25% TSI30 @ 2,218025
7 50% N_Italian_D +25% Canarias_1KG +25% Kent_1KG @ 2,23492
8 50% N_Italian_D +25% Canarias_1KG +25% Mixed_Germanic_D @ 2,240144
9 50% North_Italian +25% Canarias_1KG +25% Mixed_Germanic_D @ 2,24079
10 50% Spaniards +25% Murcia_1KG +25% Serb_D @ 2,254628
11 50% Spaniards +25% Kent_1KG +25% Morocco_Jews @ 2,269302
12 50% N_Italian_D +25% Canarias_1KG +25% English_D @ 2,277515
13 50% Murcia_1KG +25% Serb_D +25% Spaniards @ 2,284313
14 50% North_Italian +25% Canarias_1KG +25% Kent_1KG @ 2,291181
15 50% Spaniards +25% Kent_1KG +25% Sephardic_Jews @ 2,292911
16 50% Murcia_1KG +25% German_D +25% Tuscan @ 2,297299
17 50% Spaniards +25% English_D +25% Morocco_Jews @ 2,297435
18 50% Murcia_1KG +25% C_Italian_D +25% German_D @ 2,309729
19 50% Murcia_1KG +25% German_D +25% N_Italian_D @ 2,315547
20 50% Portuguese_D +25% German_D +25% TSI30 @ 2,316342
6336883 iterations.

Using 4 populations approximation:
1 Canarias_1KG+German_D+N_Italian_D+North_Italian @ 2,063556
2 Canarias_1KG+German_D+North_Italian+North_Italian @ 2,067547
3 Canarias_1KG+German_D+Spaniards+TSI30 @ 2,118877
4 Canarias_1KG+German_D+North_Italian+TSI30 @ 2,125728
5 Canarias_1KG+German_D+N_Italian_D+N_Italian_D @ 2,128506
6 Canarias_1KG+German_D+N_Italian_D+TSI30 @ 2,16066
7 C_Italian_D+Canarias_1KG+German_D+Spaniards @ 2,17354
8 German_D+Morocco_Jews+Spaniards+Spaniards @ 2,183655
9 German_D+Sephardic_Jews+Spaniards+Spaniards @ 2,191163
10 Canarias_1KG+German_D+Spaniards+Tuscan @ 2,192478
11 Canarias_1KG+Mixed_Germanic_D+N_Italian_D+North_It alian @ 2,210556
12 German_D+S_Italian_Sicilian_D+Spaniards+Spaniards @ 2,216526
13 German_D+Murcia_1KG+Murcia_1KG+TSI30 @ 2,218025
14 Canarias_1KG+Kent_1KG+N_Italian_D+North_Italian @ 2,232074
15 German_D+Murcia_1KG+S_Italian_Sicilian_D+Spaniards @ 2,23228
16 Canarias_1KG+German_D+North_Italian+Tuscan @ 2,233608
17 Canarias_1KG+Kent_1KG+N_Italian_D+N_Italian_D @ 2,23492
18 Canarias_1KG+Mixed_Germanic_D+N_Italian_D+N_Italia n_D @ 2,240144
19 Canarias_1KG+Mixed_Germanic_D+North_Italian+North_ Italian @ 2,24079
20 Canarias_1KG+German_D+North_Italian+O_Italian_D @ 2,246143
21 Murcia_1KG+Serb_D+Spaniards+Spaniards @ 2,254628
22 Canarias_1KG+German_D+N_Italian_D+Tuscan @ 2,254704
23 Canarias_1KG+Kent_1KG+N_Italian_D+TSI30 @ 2,266198
24 Kent_1KG+Morocco_Jews+Spaniards+Spaniards @ 2,269302
25 Canarias_1KG+German_D+N_Italian_D+Spaniards @ 2,271607
26 Canarias_1KG+N_Italian_D+Serb_D+Spaniards @ 2,271671
27 German_D+Murcia_1KG+Portuguese_D+TSI30 @ 2,273363
28 Canarias_1KG+English_D+N_Italian_D+N_Italian_D @ 2,277515
29 Canarias_1KG+English_D+N_Italian_D+North_Italian @ 2,279978
30 Canarias_1KG+German_D+O_Italian_D+Spaniards @ 2,280307
31 Murcia_1KG+Murcia_1KG+Serb_D+Spaniards @ 2,284313
32 Canarias_1KG+Kent_1KG+North_Italian+TSI30 @ 2,288513
33 Canarias_1KG+Kent_1KG+North_Italian+North_Italian @ 2,291181
34 Canarias_1KG+Mixed_Germanic_D+Spaniards+TSI30 @ 2,292631
35 Kent_1KG+Sephardic_Jews+Spaniards+Spaniards @ 2,292911
36 German_D+Murcia_1KG+Murcia_1KG+Tuscan @ 2,297299
37 English_D+Morocco_Jews+Spaniards+Spaniards @ 2,297435
38 Canarias_1KG+German_D+Murcia_1KG+TSI30 @ 2,299701
39 Canarias_1KG+German_D+North_Italian+Spaniards @ 2,302069
40 German_D+Portuguese_D+S_Italian_Sicilian_D+Spaniar ds @ 2,303217
45401652 iterations.

[firemonkey]

North European 55.51
Mediterranean 32.66
West Asian 6.88
SouthWest Asian 1.84
Amerindian 1.13
East African 0.72
SouthAsian 0.70
Arctic 0.22
EastAsian 0.16
Siberian 0.09
PaleoAfrican 0.05
WestAfrican 0.02
Australasian 0.01

[Kriptc06]

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

0.07% Siberian
13.26% Amerindian
10.16% West_African
0.02% Palaeo_African
9.17% Southwest_Asian
0.00% East_Asian
29.35% Mediterranean
0.11% Australasian
0.25% Arctic
8.27% West_Asian
28.16% North_European
0.57% South_Asian
0.60% East_African

https://media.tenor.com/images/432ebaaed3a1edb68a41e3423c287979/tenor.gif

[Thambi]

0.00% Siberian
0.77% Amerindian
0.10% West_African
0.01% Palaeo_African
0.99% Southwest_Asian
2.78% East_Asian
0.02% Mediterranean
0.72% Australasian
0.14% Arctic
32.77% West_Asian
1.73% North_European
59.96% South_Asian
0.01% East_African

Least-squares method.

Using 1 population approximation:
1 GIH30 @ 3.842957
2 Kurmi_M @ 4.408212
3 Meghawal_M @ 4.724085
4 INS30 @ 4.752836
5 Lambadi_M @ 5.529756
6 Velamas_M @ 6.212994
7 Tharus_M @ 6.407483
8 Indian_D @ 6.68342
9 Iyer_D @ 7.363132
10 Brahmins_from_Tamil_Nadu_M @ 7.527764
11 Bengali_M @ 7.550397
12 Dharkars_M @ 7.728469
13 Iyengar_D @ 8.233529
14 Muslim_M @ 8.40577
15 Tamil_Nadu_Scheduled_Caste_M @ 8.865983
16 Kanjars_M @ 9.072357
17 Kurumba_M @ 10.957789
18 Dusadh_M @ 11.724149
19 Uttar_Pradesh_Scheduled_Caste_M @ 11.792343
20 Kshatriya_M @ 11.828915
285 iterations.

Using 2 populations approximation:
1 Indian_D+Velamas_M @ 2.925992
2 Indian_D+Tamil_Nadu_Scheduled_Caste_M @ 3.270328
3 Brahmins_from_Tamil_Nadu_M+Velamas_M @ 3.280133
4 GIH30+Lambadi_M @ 3.468899
5 Iyengar_D+Velamas_M @ 3.515204
6 Brahmins_from_Tamil_Nadu_M+Tamil_Nadu_Scheduled_Ca ste_M @ 3.55535
7 GIH30+Kurmi_M @ 3.596479
8 Iyer_D+Velamas_M @ 3.615039
9 Indian_D+INS30 @ 3.80383
10 GIH30+GIH30 @ 3.842957
11 GIH30+INS30 @ 3.865823
12 Meena_M+Tamil_Nadu_Scheduled_Caste_M @ 3.911334
13 GIH30+Meghawal_M @ 3.941148
14 Bengali_M+Velamas_M @ 3.94217
15 Lambadi_M+Velamas_M @ 3.957241
16 Bengali_M+GIH30 @ 4.090934
17 Kurmi_M+Velamas_M @ 4.108499
18 Brahmins_from_Tamil_Nadu_M+INS30 @ 4.259817
19 GIH30+Velamas_M @ 4.263779
20 INS30+Kurmi_M @ 4.274555
40755 iterations.

Using 3 populations approximation:
1 50% SAKILLI +25% Balochi +25% Velamas_M @ 2.009898
2 50% SAKILLI +25% Brahui +25% Velamas_M @ 2.065159
3 50% Velamas_M +25% Chenchus_M +25% Sindhi @ 2.118862
4 50% Tamil_Nadu_Scheduled_Caste_M +25% Sindhi +25% Velamas_M @ 2.152303
5 50% Piramalai_Kallars_M +25% Balochi +25% SAKILLI @ 2.321206
6 50% Tamil_Nadu_Scheduled_Caste_M +25% Sindhi +25% Tamil_Nadu_Scheduled_Caste_M @ 2.330186
7 50% Piramalai_Kallars_M +25% Brahui +25% SAKILLI @ 2.3587
8 50% Velamas_M +25% SAKILLI +25% Sindhi @ 2.386251
9 50% SAKILLI +25% Balochi +25% Tamil_Nadu_Scheduled_Caste_M @ 2.513234
10 50% Velamas_M +25% Dusadh_M +25% Sindhi @ 2.513828
11 50% SAKILLI +25% Brahui +25% Tamil_Nadu_Scheduled_Caste_M @ 2.515159
12 50% Tamil_Nadu_Scheduled_Caste_M +25% Kurumba_M +25% Sindhi @ 2.539454
13 50% SAKILLI +25% Brahui +25% Kurumba_M @ 2.544077
14 50% SAKILLI +25% Brahui +25% INS30 @ 2.575838
15 50% SAKILLI +25% Balochi +25% INS30 @ 2.577767
16 50% SAKILLI +25% Balochi +25% Kurumba_M @ 2.584414
17 50% SAKILLI +25% Kalash +25% Velamas_M @ 2.594653
18 50% Tamil_Nadu_Scheduled_Caste_M +25% Piramalai_Kallars_M +25% Sindhi @ 2.629863
19 50% SAKILLI +25% Brahui +25% Piramalai_Kallars_M @ 2.666493
20 50% SAKILLI +25% Brahui +25% Kurmi_M @ 2.676664
2838757 iterations.

Using 4 populations approximation:
1 Balochi+SAKILLI+SAKILLI+Velamas_M @ 2.009898
2 Brahui+SAKILLI+SAKILLI+Velamas_M @ 2.065159
3 Chenchus_M+Sindhi+Velamas_M+Velamas_M @ 2.118862
4 Sindhi+Tamil_Nadu_Scheduled_Caste_M+Tamil_Nadu_Sch eduled_Caste_M+Velamas_M @ 2.152303
5 Piramalai_Kallars_M+Sindhi+Tamil_Nadu_Scheduled_Ca ste_M+Velamas_M @ 2.305275
6 Dusadh_M+Sindhi+Tamil_Nadu_Scheduled_Caste_M+Velam as_M @ 2.315142
7 Balochi+Piramalai_Kallars_M+Piramalai_Kallars_M+SA KILLI @ 2.321206
8 Sindhi+Tamil_Nadu_Scheduled_Caste_M+Tamil_Nadu_Sch eduled_Caste_M+Tamil_Nadu_Scheduled_Caste_M @ 2.330186
9 Brahui+Piramalai_Kallars_M+Piramalai_Kallars_M+SAK ILLI @ 2.3587
10 SAKILLI+Sindhi+Velamas_M+Velamas_M @ 2.386251
11 Brahui+Chamar_M+SAKILLI+Velamas_M @ 2.386721
12 Balochi+Chamar_M+SAKILLI+Velamas_M @ 2.400591
13 Kurumba_M+Sindhi+Tamil_Nadu_Scheduled_Caste_M+Vela mas_M @ 2.405049
14 Kurmi_M+SAKILLI+Sindhi+Velamas_M @ 2.412721
15 Chenchus_M+Sindhi+Tamil_Nadu_Scheduled_Caste_M+Vel amas_M @ 2.460215
16 Brahui+Dusadh_M+Piramalai_Kallars_M+SAKILLI @ 2.479487
17 Lambadi_M+SAKILLI+Sindhi+Velamas_M @ 2.498993
18 Balochi+Kurumba_M+Piramalai_Kallars_M+SAKILLI @ 2.513121
19 Balochi+SAKILLI+SAKILLI+Tamil_Nadu_Scheduled_Caste _M @ 2.513234
20 Dusadh_M+Sindhi+Velamas_M+Velamas_M @ 2.513828
21 Balochi+Dusadh_M+Piramalai_Kallars_M+SAKILLI @ 2.514179
22 Brahui+SAKILLI+SAKILLI+Tamil_Nadu_Scheduled_Caste_ M @ 2.515159
23 INS30+SAKILLI+Sindhi+Velamas_M @ 2.532928
24 Kurumba_M+Sindhi+Tamil_Nadu_Scheduled_Caste_M+Tami l_Nadu_Scheduled_Caste_M @ 2.539454
25 Brahui+Kurumba_M+SAKILLI+SAKILLI @ 2.544077
26 GIH30+SAKILLI+Sindhi+Velamas_M @ 2.547925
27 Brahui+Kurumba_M+Piramalai_Kallars_M+SAKILLI @ 2.561926
28 Brahui+INS30+SAKILLI+SAKILLI @ 2.575838
29 Balochi+Piramalai_Kallars_M+SAKILLI+Tamil_Nadu_Sch eduled_Caste_M @ 2.576765
30 Brahui+North_Kannadi+SAKILLI+Velamas_M @ 2.577207
31 Balochi+INS30+SAKILLI+SAKILLI @ 2.577767
32 Balochi+Kurumba_M+SAKILLI+SAKILLI @ 2.584414
33 Kalash+SAKILLI+SAKILLI+Velamas_M @ 2.594653
34 Balochi+Hakkipikki_M+SAKILLI+Velamas_M @ 2.597365
35 Balochi+Chenchus_M+SAKILLI+Velamas_M @ 2.60239
36 Sindhi+Tamil_Nadu_Scheduled_Caste_M+Uttar_Pradesh_ Scheduled_Caste_M+Velamas_M @ 2.604275
37 Brahui+Hakkipikki_M+SAKILLI+Velamas_M @ 2.61687
38 Dusadh_M+Kurumba_M+Sindhi+Velamas_M @ 2.617254
39 Brahui+Chenchus_M+SAKILLI+Velamas_M @ 2.618925
40 Kurmi_M+Piramalai_Kallars_M+Sindhi+Tamil_Nadu_Sche duled_Caste_M @ 2.628608
4606587 iterations.