Gedmatch calculations using my Nebula raw data

[Slavic Italian]

Here's the oracles of my K13. If anyone wants to see specific calcs let me know.


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++
1 Danish + Danish + Greek_Thessaly + Moldavian @ 3.474034
2 Greek_Thessaly + Moldavian + North_German + Southeast_English @ 3.475488
3 Danish + Greek_Thessaly + Moldavian + Southeast_English @ 3.485149
4 Croatian + Danish + Greek_Thessaly + West_German @ 3.501608
5 Danish + Greek_Thessaly + Moldavian + North_German @ 3.537469
6 Danish + Greek_Thessaly + Moldavian + West_German @ 3.630763
7 North_German + South_Italian + Southeast_English + Ukrainian @ 3.633320
8 Greek_Thessaly + Hungarian + North_German + West_German @ 3.635470
9 Danish + Danish + South_Italian + Ukrainian @ 3.638009
10 Danish + Danish + South_Italian + Ukrainian_Lviv @ 3.648575
11 Croatian + Danish + Greek_Thessaly + South_Dutch @ 3.649541
12 Danish + South_Italian + Southeast_English + Southwest_Russian @ 3.651827
13 Danish + Greek_Thessaly + Romanian + Swedish @ 3.654924
14 Danish + North_German + South_Italian + Ukrainian @ 3.655092
15 Danish + Polish + South_Italian + West_German @ 3.661082
16 Greek_Thessaly + Moldavian + North_German + Orcadian @ 3.664174
17 Danish + Greek_Thessaly + Hungarian + West_German @ 3.668244
18 Danish + South_Italian + Southeast_English + Ukrainian @ 3.697066
19 Danish + Greek_Thessaly + Moldavian + South_Dutch @ 3.702691
20 Kargopol_Russian + South_Italian + Southeast_English + Southeast_English @ 3.704996

[Luke35]

Very cool.

How does your new component breakdown compare to your previous kit i.e. Nubula derived North Atlantic, Baltic, etc. vs Old data North Atlantic, Baltic, etc?

Do you think the Nebula results are an improvement?

Do you plot differently on say, the K15 PCA?

[Slavic Italian]

If there were some Italian in the oracles it would be spot on.


MDLP K23b Oracle Rev 2014 Sep 16

Admix Results (sorted):

# Population Percent
1 European_Hunters_Gatherers 31.31
2 Caucasian 24.64
3 European_Early_Farmers 22.91
4 South_Central_Asian 6.80
5 Ancestral_Altaic 3.72
6 North_African 3.39
7 Near_East 2.13
8 Amerindian 1.99
9 South_Indian 1.95
10 Melano_Polynesian 1.16


Finished reading population data. 620 populations found.
23 components mode.

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

Least-squares method.

Using 1 population approximation:
1 German-Volga_ @ 5.100186
2 South_German_ @ 8.289940
3 Dutch_ @ 9.224028
4 Irish_ @ 9.472188
5 Italian_North_ @ 9.625096
6 English_ @ 9.699018
7 Belgian_ @ 9.704137
8 Frisian_ @ 10.088589
9 German_East_ @ 10.444915
10 Serb_Serbia_ @ 10.783119
11 Austrian_ @ 10.886308
12 North_European_ @ 11.119963
13 English_Cornwall_GBR_ @ 11.765190
14 English_Kent_GBR_ @ 11.800955
15 Montenegrian_ @ 11.855734
16 CEU_ @ 12.218856
17 Welsh_ @ 12.288899
18 Bulgarian_ @ 12.498726
19 North_German_ @ 12.623630
20 British_ @ 13.025841

Using 2 populations approximation:
1 50% Romanian_ +50% Scottish_Argyll_Bute_GBR_ @ 3.847283


Using 3 populations approximation:
1 50% Irish_ +25% Maltese_ +25% Moksha_ @ 3.044619


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++
1 Balt_ + Orcadian_ + Spanish_Castilla_y_Leon_IBS_ + Turk_Istanbul_ @ 2.789877
2 Crimean_Tatar_Mountain_ + Portugese_ + Russian_Meshtchyora_ + Scottish_Argyll_Bute_GBR_ @ 2.793311
3 Balt_ + Scottish_Argyll_Bute_GBR_ + Spanish_Castilla_y_Leon_IBS_ + Turk_Istanbul_ @ 2.807223
4 Icelandic_ + Russian-North-West_ + Spanish_Castilla_y_Leon_IBS_ + Turk_Istanbul_ @ 2.858353
5 Finn_West_ + Icelandic_ + Portugese_ + Turk_Istanbul_ @ 2.871841
6 Finn_West_ + Norwegian_East_ + Portugese_ + Turk_Istanbul_ @ 2.872843
7 Crimean_Tatar_Mountain_ + Orcadian_ + Portugese_ + Russian_Meshtchyora_ @ 2.878872
8 Balt_ + Orcadian_ + Spanish_Extremadura_IBS_ + Turk_Istanbul_ @ 2.899868
9 French_Jew_ + Irish_ + Moksha_ + Orcadian_ @ 2.916559
10 Finn_West_ + French_Jew_ + Irish_ + Irish_ @ 2.918055
11 Orcadian_ + Portugese_ + Russian-North-West_ + Turk_Istanbul_ @ 2.927476
12 Balt_ + Orcadian_ + Spanish_Murcia_IBS_ + Turk_Istanbul_ @ 2.929695
13 Russian-North-West_ + Scottish_Argyll_Bute_GBR_ + Spanish_Castilla_y_Leon_IBS_ + Turk_Istanbul_ @ 2.931173
14 Finn_West_ + Norwegian_West_ + Portugese_ + Turk_Istanbul_ @ 2.933755
15 French_Jew_ + Irish_ + Moksha_ + Scottish_Argyll_Bute_GBR_ @ 2.950404
16 Icelandic_ + Russian-West_ + Spanish_Castilla_y_Leon_IBS_ + Turk_Istanbul_ @ 2.950619
17 Orcadian_ + Russian-North-West_ + Spanish_Castilla_y_Leon_IBS_ + Turk_Istanbul_ @ 2.952278
18 Azov_Greek_ + Finn_West_ + Icelandic_ + Portugese_ @ 2.956418
19 Icelandic_ + Russian_Meshtchyora_ + Spanish_Castilla_y_Leon_IBS_ + Turk_Istanbul_ @ 2.961549
20 Irish_ + Maltese_ + Moksha_ + Welsh_ @ 2.968418

[Slavic Italian]

Here's K15

Admix Results (sorted):

# Population Percent
1 North_Sea 22.35
2 Atlantic 22.17
3 Baltic 14.72
4 West_Med 10.34
5 Eastern_Euro 9.93
6 East_Med 8.36
7 West_Asian 6.39
8 South_Asian 3.50
9 Amerindian 1.64


Finished reading population data. 207 populations found.
15 components mode.

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

Least-squares method.

Using 1 population approximation:
1 Austrian @ 6.559654
2 Hungarian @ 8.710988
3 Serbian @ 9.163255
4 East_German @ 9.238798
5 South_Dutch @ 11.392007
6 Croatian @ 12.006701
7 French @ 12.447771
8 Romanian @ 12.725104
9 West_German @ 13.210207
10 Moldavian @ 13.238665
11 North_German @ 14.419765
12 Bulgarian @ 15.911630
13 Spanish_Cataluna @ 16.952246
14 Spanish_Galicia @ 17.020323
15 South_Polish @ 17.357046
16 Southwest_English @ 17.416019
17 Southwest_Finnish @ 17.537947
18 Portuguese @ 17.681952
19 Southeast_English @ 17.739645
20 Ukrainian_Lviv @ 17.897337

Using 2 populations approximation:
1 50% Bulgarian +50% North_German @ 4.361810


Using 3 populations approximation:
1 50% Austrian +25% Greek_Thessaly +25% Irish @ 3.711815


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++
1 Austrian + Austrian + Greek_Thessaly + Irish @ 3.711815
2 Austrian + East_German + Greek + Irish @ 3.753122
3 Austrian + Austrian + Greek_Thessaly + West_Scottish @ 3.760711
4 Austrian + Danish + East_German + Greek @ 3.768601
5 French + Greek + Irish + Russian_Smolensk @ 3.775407
6 French + Greek + Russian_Smolensk + Southeast_English @ 3.791226
7 Danish + French + Greek + Russian_Smolensk @ 3.804894
8 Austrian + Austrian + Greek + Orcadian @ 3.809607
9 Austrian + East_German + Greek + Southeast_English @ 3.811239
10 French + Greek + Orcadian + Russian_Smolensk @ 3.812169
11 Croatian + Greek + North_German + North_German @ 3.812529
12 French + Greek + Irish + Southwest_Russian @ 3.824938
13 French + Greek + Russian_Smolensk + West_Scottish @ 3.826373
14 Austrian + Austrian + Greek_Thessaly + Southeast_English @ 3.827401
15 Croatian + Greek + North_German + Southeast_English @ 3.829611
16 Austrian + Austrian + Danish + Greek_Thessaly @ 3.831846
17 Greek + Russian_Smolensk + South_Dutch + Southeast_English @ 3.832620
18 Austrian + East_German + Greek + West_Scottish @ 3.833174
19 Croatian + Greek + North_German + South_Dutch @ 3.835448
20 French + Greek + Irish + Ukrainian_Belgorod @ 3.844901

[Slavic Italian]

Very cool.

How does your new component breakdown compare to your previous kit i.e. Nubula derived North Atlantic, Baltic, etc. vs Old data North Atlantic, Baltic, etc?

Do you think the Nebula results are an improvement?

Do you plot differently on say, the K15 PCA?

Nebula results are a little better but the V3 23 chip was/is very good too.

[Impaler]

Distance to: Slavic_Italian_K15
6.58398815 Austrian
7.32166477 Szekely
7.39949998 Austria-Burgenland
7.77125472 Austria-Tyrol
8.72131297 Hungarian
9.06782774 FRA_Alsace
9.20052172 Serbian
9.21086900 Slovenian
9.23540470 German_Bavarian
9.23828989 East_German
9.45534769 Kaykavian_Croatian
9.76539298 Swiss_German
10.71658994 Czech
10.80956000 Croat_Bosnia
11.15975806 South_Serbian
11.40086400 South_Dutch
11.55398714 Serbian_Bosnia
11.62470215 Pennsylvania_Dutch
11.66709601 Bosnian
11.68103591 Italy_Trentino
11.69593519 FRA_Belgica
11.82693113 Romania_Nw
11.89260695 Romania_Ne
11.96036098 Montenegrin
11.97441439 Bosniak

Target: Slavic_Italian_K15
Distance: 1.6720% / 1.67198540 | ADC: 0.25x
41.6 Austrian
20.8 German_Bavarian
12.8 Szekely
11.4 Italy_Trentino
4.6 Austria-Burgenland
4.4 Pennsylvania_Dutch
2.6 Velamas
0.8 Karitiana
0.4 Kol
0.4 Swiss_German
0.2 Brahmin_UP

Target: Slavic_Italian_K15
Distance: 3.1034% / 3.10342885 | ADC: 0.5x
41.4 Austrian
29.4 Austria-Tyrol
16.4 Szekely
5.2 Austria-Burgenland
4.0 German_Bavarian
2.2 Swiss_German
1.4 Chamar

[Slavic Italian]

Looks central European.

[Slavic Italian]

Distance to: Slavic_Italian_K15
6.58398815 Austrian
7.32166477 Szekely
7.39949998 Austria-Burgenland
7.77125472 Austria-Tyrol
8.72131297 Hungarian
9.06782774 FRA_Alsace
9.20052172 Serbian
9.21086900 Slovenian
9.23540470 German_Bavarian
9.23828989 East_German
9.45534769 Kaykavian_Croatian
9.76539298 Swiss_German
10.71658994 Czech
10.80956000 Croat_Bosnia
11.15975806 South_Serbian
11.40086400 South_Dutch
11.55398714 Serbian_Bosnia
11.62470215 Pennsylvania_Dutch
11.66709601 Bosnian
11.68103591 Italy_Trentino
11.69593519 FRA_Belgica
11.82693113 Romania_Nw
11.89260695 Romania_Ne
11.96036098 Montenegrin
11.97441439 Bosniak

Target: Slavic_Italian_K15
Distance: 1.6720% / 1.67198540 | ADC: 0.25x
41.6 Austrian
20.8 German_Bavarian
12.8 Szekely
11.4 Italy_Trentino
4.6 Austria-Burgenland
4.4 Pennsylvania_Dutch
2.6 Velamas
0.8 Karitiana
0.4 Kol
0.4 Swiss_German
0.2 Brahmin_UP

Target: Slavic_Italian_K15
Distance: 3.1034% / 3.10342885 | ADC: 0.5x
41.4 Austrian
29.4 Austria-Tyrol
16.4 Szekely
5.2 Austria-Burgenland
4.0 German_Bavarian
2.2 Swiss_German
1.4 Chamar

Germanic, Slav, Italian blend.

[Slavic Italian]

Distance to: Slavic_Italian_K15
6.58398815 Austrian
7.32166477 Szekely
7.39949998 Austria-Burgenland
7.77125472 Austria-Tyrol
8.72131297 Hungarian
9.06782774 FRA_Alsace
9.20052172 Serbian
9.21086900 Slovenian
9.23540470 German_Bavarian
9.23828989 East_German
9.45534769 Kaykavian_Croatian
9.76539298 Swiss_German
10.71658994 Czech
10.80956000 Croat_Bosnia
11.15975806 South_Serbian
11.40086400 South_Dutch
11.55398714 Serbian_Bosnia
11.62470215 Pennsylvania_Dutch
11.66709601 Bosnian
11.68103591 Italy_Trentino
11.69593519 FRA_Belgica
11.82693113 Romania_Nw
11.89260695 Romania_Ne
11.96036098 Montenegrin
11.97441439 Bosniak

Target: Slavic_Italian_K15
Distance: 1.6720% / 1.67198540 | ADC: 0.25x
41.6 Austrian
20.8 German_Bavarian
12.8 Szekely
11.4 Italy_Trentino
4.6 Austria-Burgenland
4.4 Pennsylvania_Dutch
2.6 Velamas
0.8 Karitiana
0.4 Kol
0.4 Swiss_German
0.2 Brahmin_UP

Target: Slavic_Italian_K15
Distance: 3.1034% / 3.10342885 | ADC: 0.5x
41.4 Austrian
29.4 Austria-Tyrol
16.4 Szekely
5.2 Austria-Burgenland
4.0 German_Bavarian
2.2 Swiss_German
1.4 Chamar

Could you please run my numbers against some Roman samples?

[Kaspias]

May I ask the SNP numbers in Eurogenes K13 and Dodecad K12b?

[Slavic Italian]

Dodecad V3 calculator is money with this file. Best calculations by far.

Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++
1 French_HGDP + Irish_Dodecad + Russian_HGDP + Sicilian_Dodecad @ 3.204301
2 French_HGDP + Irish_Dodecad + Russian_HGDP + S_Italian_Dodecad @ 3.226606
3 French_Dodecad + Irish_Dodecad + Russian_HGDP + S_Italian_Dodecad @ 3.237424
4 British_Dodecad + French_HGDP + Russian_HGDP + S_Italian_Sicilian_Dodecad @ 3.260555
5 Cornwall_1000 Genomes + French_HGDP + Russian_HGDP + S_Italian_Sicilian_Dodecad @ 3.273693
6 Cornwall_1000 Genomes + French_HGDP + Russian_HGDP + Sicilian_Dodecad @ 3.291662
7 Cornwall_1000 Genomes + French_Dodecad + Russian_HGDP + S_Italian_Sicilian_Dodecad @ 3.309222
8 British_Isles_Dodecad + French_HGDP + Russian_HGDP + S_Italian_Sicilian_Dodecad @ 3.311987
9 British_Dodecad + French_Dodecad + Russian_HGDP + S_Italian_Sicilian_Dodecad @ 3.330406
10 French_HGDP + Irish_Dodecad + Russian_HGDP + S_Italian_Sicilian_Dodecad @ 3.339734
11 British_Dodecad + French_HGDP + Russian_HGDP + Sicilian_Dodecad @ 3.342781
12 French_Dodecad + Irish_Dodecad + Russian_HGDP + Sicilian_Dodecad @ 3.347511
13 Cornwall_1000 Genomes + Mixed_Slav_Dodecad + Orkney_1000 Genomes + Sephardic_Jews_Behar @ 3.349571
14 French_Dodecad + Irish_Dodecad + Russian_HGDP + S_Italian_Sicilian_Dodecad @ 3.352602
15 French_HGDP + Irish_Dodecad + Russian_Dodecad + Sicilian_Dodecad @ 3.355136
16 British_Dodecad + Mixed_Slav_Dodecad + Orkney_1000 Genomes + Sephardic_Jews_Behar @ 3.362144
17 British_Dodecad + Polish_Dodecad + Spanish_Dodecad + Stalskoe_Xing @ 3.372575
18 French_HGDP + Irish_Dodecad + Russian_Dodecad + S_Italian_Sicilian_Dodecad @ 3.372771
19 Dutch_Dodecad + Dutch_Dodecad + Mixed_Slav_Dodecad + Sephardic_Jews_Behar @ 3.383238
20 British_Isles_Dodecad + French_Dodecad + Russian_HGDP + S_Italian_Sicilian_Dodecad @ 3.385036

163128 SNPs used in this evaluation

[calxpal]

Could you share K36? Just curious :)

[Slavic Italian]

K36

Population
Amerindian 0.93 Pct
Arabian -
Armenian 1.52 Pct
Basque 1.08 Pct
Central_African -
Central_Euro 3.02 Pct
East_African -
East_Asian -
East_Balkan 4.45 Pct
East_Central_Asian -
East_Central_Euro 11.94 Pct
East_Med 4.10 Pct
Eastern_Euro 2.67 Pct
Fennoscandian 5.36 Pct
French 3.51 Pct
Iberian 11.28 Pct
Indo-Chinese -
Italian 15.88 Pct
Malayan -
Near_Eastern -
North_African -
North_Atlantic 8.25 Pct
North_Caucasian 2.71 Pct
North_Sea 17.75 Pct
Northeast_African -
Oceanian -
Omotic -
Pygmy -
Siberian -
South_Asian 3.79 Pct
South_Central_Asian -
South_Chinese -
Volga-Ural 1.53 Pct
West_African -
West_Caucasian -
West_Med 0.25 Pct

[Slavic Italian]

On some of these calcs 2,000 SNPs can make a big difference in the oracles.

[Slavic Italian]

Maybe related to John Wick with the Romani matches. :)

puntDNAL K13 Global 4-Ancestors Oracle
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++
1 English + English + English + Romani @ 2.589919
2 English + English + Orcadian + Romani @ 2.611328
3 English + English + Romani + Utahn_European @ 2.612465
4 English + English + Irish + Romani @ 2.642969
5 English + German_South + Romani + Utahn_European @ 2.646625
6 German_South + Orcadian + Romani + Utahn_European @ 2.653954
7 English + English + Romani + Scottish @ 2.655664
8 German_South + Romani + Utahn_European + Utahn_European @ 2.660148
9 German_South + Irish + Romani + Utahn_European @ 2.666777
10 English + Romani + Scottish + Utahn_European @ 2.685485
11 English + Orcadian + Romani + Utahn_European @ 2.700151
12 German_South + Romani + Scottish + Utahn_European @ 2.703375
13 English + Orcadian + Orcadian + Romani @ 2.704833
14 English + Orcadian + Romani + Scottish @ 2.734498
15 English + German_South + Irish + Romani @ 2.743431
16 English + Irish + Orcadian + Romani @ 2.752476
17 English + Irish + Romani + Utahn_European @ 2.753556
18 English + German_South + Orcadian + Romani @ 2.763673
19 Belgian + Romani + Scottish + Utahn_European @ 2.764783
20 German_South + Irish + Orcadian + Romani @ 2.773132