Post Dodecad K12b results

I don't know if it is real at all because the subclades of the haplogroups that 23andMe has given to my father is still much higher than the final that I got in FTDNA, I don't know if it has something to do....


Gallop´s father


Admix Results (sorted):

# Population Percent
1 Atlantic_Med 44.78
2 North_European 26.77
3 Caucasus 12.82
4 Northwest_African 4.84
5 Gedrosia 4.10
6 Southwest_Asian 3.51
7 East_African 1.86
8 Sub_Saharan 1.31

Mine

# Population Percent
1 Atlantic_Med 44.80
2 North_European 26.52
3 Caucasus 13.46
4 Northwest_African 5.10
5 Gedrosia 4.91
6 Southwest_Asian 3.16



Using 1 population approximation:
1 Galicia_1000Genomes @ 5.806474
2 Extremadura_1000Genomes @ 7.040957
3 Baleares_1000Genomes @ 7.099468
4 Portuguese_Dodecad @ 7.448611
5 Castilla_Y_Leon_1000Genomes @ 8.723048
6 Cataluna_1000Genomes @ 9.513169
7 Spaniards_Behar @ 9.991678
8 Murcia_1000Genomes @ 10.041350
9 Spanish_Dodecad @ 10.092018
10 Cantabria_1000Genomes @ 11.651123
11 Canarias_1000Genomes @ 11.928974
12 Andalucia_1000Genomes @ 12.169473
13 N_Italian_Dodecad @ 12.222724
14 Castilla_La_Mancha_1000Genomes @ 12.343677
15 North_Italian_HGDP @ 12.363621
16 French_HGDP @ 12.532718
17 Valencia_1000Genomes @ 12.634233
18 French_Dodecad @ 12.885018
19 Aragon_1000Genomes @ 13.505755
20 TSI30_Metspalu @ 19.464445

Using 2 populations approximation:
1 50% Canarias_1000Genomes +50% French_HGDP @ 4.314817


Using 3 populations approximation:
1 50% Baleares_1000Genomes +25% Canarias_1000Genomes +25% German_Dodecad @ 2.617538


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++
1 Canarias_1000Genomes + Extremadura_1000Genomes + Russian_Dodecad + Sardinian_HGDP @ 2.051998

Component %
Gedrosia 4.78%
Siberian 0.61%
Atlantic_Med 31.77%
North_European 33.49%
South_Asian 0.91%
Southwest_Asian 6.09%
East_Asian 0.06%
Caucasus 22.31%

Using 1 populations approximation
1 100% Macedonian @ 5.236
2 100% Italy_FriuliVG @ 5.585
3 100% Pomak @ 8.065
4 100% Italy_Trentino @ 8.256
5 100% Italy_Veneto @ 8.407
6 100% Albanian_North @ 8.638
7 100% Gagauz @ 9.414
8 100% Albanian_Kosovo @ 9.606
9 100% Swiss_Italian @ 9.800
10 100% Romanians @ 9.925

Me:

Admix Results (sorted):

# Population Percent
1 Atlantic_Med 38.60
2 Caucasus 24.07
3 North_European 22.15
4 Southwest_Asian 7.97
5 Gedrosia 4.59
6 Northwest_African 2.58


Finished reading population data. 223 populations found.
12 components mode.

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

Least-squares method.

Using 1 population approximation:
1 N_Italian_Dodecad @ 4.500470
2 TSI30_Metspalu @ 5.720617
3 North_Italian_HGDP @ 6.260986
4 O_Italian_Dodecad @ 7.147013
5 Tuscan_HGDP @ 7.829348
6 C_Italian_Dodecad @ 10.252892
7 Baleares_1000Genomes @ 15.133844
8 Galicia_1000Genomes @ 16.649010
9 Extremadura_1000Genomes @ 17.417032
10 Greek_Dodecad @ 17.437044
11 Portuguese_Dodecad @ 18.018301
12 Murcia_1000Genomes @ 18.261223
13 Sicilian_Dodecad @ 18.761366
14 S_Italian_Sicilian_Dodecad @ 18.956732
15 Canarias_1000Genomes @ 19.067423
16 Andalucia_1000Genomes @ 19.300043
17 Castilla_Y_Leon_1000Genomes @ 19.648651
18 Spaniards_Behar @ 20.177462
19 Bulgarians_Yunusbayev @ 20.328102
20 Romanians_Behar @ 20.553904

Using 2 populations approximation:
1 50% Galicia_1000Genomes +50% Greek_Dodecad @ 0.929739


Using 3 populations approximation:
1 50% Galicia_1000Genomes +25% Greek_Dodecad +25% Greek_Dodecad @ 0.929739


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++
1 Galicia_1000Genomes + Galicia_1000Genomes + Greek_Dodecad + Greek_Dodecad @ 0.929739
2 Bulgarian_Dodecad + German_Dodecad + Sardinian_HGDP + Sephardic_Jews_Behar @ 0.979462
3 Bulgarians_Yunusbayev + Cantabria_1000Genomes + Cypriots_Behar + Spanish_Dodecad @ 1.005953
4 Bulgarian_Dodecad + Cantabria_1000Genomes + Cantabria_1000Genomes + Cypriots_Behar @ 1.012947
5 Bulgarian_Dodecad + German_Dodecad + Morocco_Jews_Behar + Sardinian_HGDP @ 1.027103
6 Bulgarians_Yunusbayev + Cantabria_1000Genomes + Cantabria_1000Genomes + Cypriots_Behar @ 1.042489
7 Cataluna_1000Genomes + Galicia_1000Genomes + Greek_Dodecad + Greek_Dodecad @ 1.042944
8 Cantabria_1000Genomes + Cantabria_1000Genomes + Cypriots_Behar + Romanians_Behar @ 1.065164
9 Cantabria_1000Genomes + Cypriots_Behar + Romanians_Behar + Spanish_Dodecad @ 1.067443
10 Galicia_1000Genomes + Greek_Dodecad + Greek_Dodecad + Spanish_Dodecad @ 1.092305
11 French_HGDP + Greek_Dodecad + Murcia_1000Genomes + Sicilian_Dodecad @ 1.101288
12 Galicia_1000Genomes + Greek_Dodecad + Greek_Dodecad + Spaniards_Behar @ 1.117113
13 German_Dodecad + Romanians_Behar + Sardinian_HGDP + Sephardic_Jews_Behar @ 1.119167
14 Ashkenazi_Dodecad + Baleares_1000Genomes + C_Italian_Dodecad + French_HGDP @ 1.152942
15 Bulgarians_Yunusbayev + Cantabria_1000Genomes + Cataluna_1000Genomes + Cypriots_Behar @ 1.168808
16 Castilla_Y_Leon_1000Genomes + Galicia_1000Genomes + Greek_Dodecad + Greek_Dodecad @ 1.176080
17 Andalucia_1000Genomes + Ashkenazi_Dodecad + French_HGDP + Greek_Dodecad @ 1.186746
18 Cataluna_1000Genomes + Greek_Dodecad + Greek_Dodecad + Portuguese_Dodecad @ 1.187678
19 Druze_HGDP + Mixed_Slav_Dodecad + Sardinian_HGDP + Valencia_1000Genomes @ 1.200028
20 Extremadura_1000Genomes + Galicia_1000Genomes + Greek_Dodecad + Greek_Dodecad @ 1.207080

Mom:

Spoiler!

Admix Results (sorted):

# Population Percent
1 Atlantic_Med 36.22
2 North_European 25.87
3 Caucasus 24.22
4 Southwest_Asian 7.94
5 Gedrosia 2.77
6 Northwest_African 2.73


Finished reading population data. 223 populations found.
12 components mode.

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

Least-squares method.

Using 1 population approximation:
1 N_Italian_Dodecad @ 6.983238
2 O_Italian_Dodecad @ 7.571829
3 TSI30_Metspalu @ 8.838618
4 North_Italian_HGDP @ 9.459578
5 Tuscan_HGDP @ 10.303042
6 C_Italian_Dodecad @ 12.089135
7 Bulgarians_Yunusbayev @ 16.233339
8 Romanians_Behar @ 16.401817
9 Bulgarian_Dodecad @ 16.705259
10 Greek_Dodecad @ 16.823872
11 Baleares_1000Genomes @ 17.507076
12 Galicia_1000Genomes @ 18.487696
13 Extremadura_1000Genomes @ 19.586693
14 Portuguese_Dodecad @ 19.917019
15 Sicilian_Dodecad @ 20.152510
16 S_Italian_Sicilian_Dodecad @ 20.440825
17 Murcia_1000Genomes @ 20.942019
18 Canarias_1000Genomes @ 21.473154
19 Castilla_Y_Leon_1000Genomes @ 21.766193
20 French_HGDP @ 22.220774

Using 2 populations approximation:
1 50% Ashkenazi_Dodecad +50% French_HGDP @ 2.923853


Using 3 populations approximation:
1 50% Ashkenazi_Dodecad +25% French_Basque_HGDP +25% Ukranians_Yunusbayev @ 1.873976


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++
1 Lithuanians_Behar + O_Italian_Dodecad + Sardinian_HGDP + Sephardic_Jews_Behar @ 0.584088
2 Lithuanian_Dodecad + O_Italian_Dodecad + Sardinian_HGDP + Sephardic_Jews_Behar @ 0.615394
3 C_Italian_Dodecad + Lithuanians_Behar + Sardinian_HGDP + Sephardic_Jews_Behar @ 0.959010
4 Bulgarian_Dodecad + Morocco_Jews_Behar + Polish_Dodecad + Sardinian_HGDP @ 1.077294
5 Morocco_Jews_Behar + Polish_Dodecad + Romanians_Behar + Sardinian_HGDP @ 1.133803
6 Bulgarians_Yunusbayev + Morocco_Jews_Behar + Polish_Dodecad + Sardinian_HGDP @ 1.204905
7 Lithuanians_Behar + Sardinian_HGDP + Sephardic_Jews_Behar + Tuscan_HGDP @ 1.242551
8 Lithuanians_Behar + Sardinian_HGDP + Sephardic_Jews_Behar + TSI30_Metspalu @ 1.303080
9 Polish_Dodecad + Romanians_Behar + Sardinian_HGDP + Sephardic_Jews_Behar @ 1.468765
10 Lithuanian_Dodecad + Morocco_Jews_Behar + O_Italian_Dodecad + Sardinian_HGDP @ 1.489779
11 Lithuanians_Behar + Morocco_Jews_Behar + O_Italian_Dodecad + Sardinian_HGDP @ 1.551023
12 Lithuanians_Behar + S_Italian_Sicilian_Dodecad + Sardinian_HGDP + Sicilian_Dodecad @ 1.556241
13 Bulgarian_Dodecad + Polish_Dodecad + Sardinian_HGDP + Sephardic_Jews_Behar @ 1.558484
14 Lithuanians_Behar + Sardinian_HGDP + Sicilian_Dodecad + Sicilian_Dodecad @ 1.580200
15 Ashkenazi_Dodecad + Belorussian_Behar + O_Italian_Dodecad + Sardinian_HGDP @ 1.597149
16 Ashkenazi_Dodecad + O_Italian_Dodecad + Russian_Dodecad + Sardinian_HGDP @ 1.636115
17 C_Italian_Dodecad + Lithuanians_Behar + Morocco_Jews_Behar + Sardinian_HGDP @ 1.639855
18 Lithuanian_Dodecad + Sardinian_HGDP + Sephardic_Jews_Behar + TSI30_Metspalu @ 1.696966
19 Ashkenazi_Dodecad + C_Italian_Dodecad + Lithuanian_Dodecad + Sardinian_HGDP @ 1.700722
20 Ashkenazi_Dodecad + C_Italian_Dodecad + Lithuanians_Behar + Sardinian_HGDP @ 1.705989

Admix Results (sorted):

Father:

Spoiler!

# Population Percent
1 Atlantic_Med 40.75
2 North_European 21.72
3 Caucasus 20.51
4 Southwest_Asian 6.92
5 Gedrosia 6.32
6 Northwest_African 3.57


Finished reading population data. 223 populations found.
12 components mode.

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

Least-squares method.

Using 1 population approximation:
1 N_Italian_Dodecad @ 4.289222
2 North_Italian_HGDP @ 5.430612
3 TSI30_Metspalu @ 9.248075
4 Baleares_1000Genomes @ 11.051769
5 O_Italian_Dodecad @ 11.135486
6 Tuscan_HGDP @ 11.502622
7 Galicia_1000Genomes @ 12.442188
8 Extremadura_1000Genomes @ 12.909865
9 Portuguese_Dodecad @ 13.611973
10 Murcia_1000Genomes @ 14.000038
11 C_Italian_Dodecad @ 14.087899
12 Canarias_1000Genomes @ 15.069177
13 Andalucia_1000Genomes @ 15.092444
14 Castilla_Y_Leon_1000Genomes @ 15.366523
15 Spaniards_Behar @ 16.036152
16 Cataluna_1000Genomes @ 16.816353
17 Spanish_Dodecad @ 16.972630
18 Castilla_La_Mancha_1000Genomes @ 18.098253
19 Valencia_1000Genomes @ 18.698359
20 Cantabria_1000Genomes @ 18.745590

Using 2 populations approximation:
1 50% Extremadura_1000Genomes +50% O_Italian_Dodecad @ 1.500455


Using 3 populations approximation:
1 50% Ashkenazi_Dodecad +25% French_Basque_HGDP +25% Mixed_Germanic_Dodecad @ 1.325110


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++
1 Baleares_1000Genomes + Cypriots_Behar + French_HGDP + Portuguese_Dodecad @ 0.677532
2 Baleares_1000Genomes + Castilla_Y_Leon_1000Genomes + Cypriots_Behar + French_Dodecad @ 0.714242
3 Baleares_1000Genomes + Cypriots_Behar + Extremadura_1000Genomes + French_Dodecad @ 0.740559
4 French_HGDP + Murcia_1000Genomes + N_Italian_Dodecad + Sephardic_Jews_Behar @ 0.744240
5 Baleares_1000Genomes + Cypriots_Behar + French_Dodecad + Portuguese_Dodecad @ 0.754479
6 Baleares_1000Genomes + Cypriots_Behar + Extremadura_1000Genomes + French_HGDP @ 0.761629
7 Extremadura_1000Genomes + French_HGDP + North_Italian_HGDP + Sephardic_Jews_Behar @ 0.762748
8 C_Italian_Dodecad + French_Basque_HGDP + Hungarians_Behar + Morocco_Jews_Behar @ 0.782454
9 Extremadura_1000Genomes + French_Dodecad + North_Italian_HGDP + Sephardic_Jews_Behar @ 0.817027
10 Andalucia_1000Genomes + French_Dodecad + N_Italian_Dodecad + Sephardic_Jews_Behar @ 0.820689
11 Baleares_1000Genomes + French_HGDP + Morocco_Jews_Behar + N_Italian_Dodecad @ 0.847171
12 French_Dodecad + Murcia_1000Genomes + N_Italian_Dodecad + Sephardic_Jews_Behar @ 0.859012
13 Baleares_1000Genomes + Castilla_Y_Leon_1000Genomes + Cypriots_Behar + French_HGDP @ 0.878300
14 Castilla_Y_Leon_1000Genomes + French_HGDP + N_Italian_Dodecad + Sephardic_Jews_Behar @ 0.880545
15 Baleares_1000Genomes + French_Dodecad + North_Italian_HGDP + Sephardic_Jews_Behar @ 0.963342
16 French_HGDP + North_Italian_HGDP + Portuguese_Dodecad + Sephardic_Jews_Behar @ 0.968019
17 Cataluna_1000Genomes + French_HGDP + Morocco_Jews_Behar + TSI30_Metspalu @ 0.985266
18 Andalucia_1000Genomes + French_HGDP + N_Italian_Dodecad + Sephardic_Jews_Behar @ 0.987752
19 Baleares_1000Genomes + Cypriots_Behar + French_Dodecad + Galicia_1000Genomes @ 0.996403
20 French_Dodecad + Sephardic_Jews_Behar + Spanish_Dodecad + TSI30_Metspalu @ 1.013800

https://sun9-88.userapi.com/impg/7nq...ea4&type=album

This one seems pretty good for me:

2 Aragon_1000Genomes + British_Isles_Dodecad + Canarias_1000Genomes + Morocco_Jews_Behar @ 1.888537
3 O_Italian_Dodecad + Portuguese_Dodecad + Portuguese_Dodecad + Portuguese_Dodecad @ 2.016624
4 Canarias_1000Genomes + Castilla_La_Mancha_1000Genomes + Portuguese_Dodecad + Romanians_Behar @ 2.044279
5 Canarias_1000Genomes + Cantabria_1000Genomes + Irish_Dodecad + Morocco_Jews_Behar @ 2.049236
6 Canarias_1000Genomes + Cantabria_1000Genomes + Morocco_Jews_Behar + Orkney_1000Genomes @ 2.055694
7 Aragon_1000Genomes + Canarias_1000Genomes + Morocco_Jews_Behar + Orkney_1000Genomes @ 2.057703
8 Canarias_1000Genomes + Cantabria_1000Genomes + Morocco_Jews_Behar + Orcadian_HGDP @ 2.061092
9 British_Isles_Dodecad + Canarias_1000Genomes + Morocco_Jews_Behar + Valencia_1000Genomes @ 2.096937
10 Aragon_1000Genomes + Canarias_1000Genomes + Morocco_Jews_Behar + Orcadian_HGDP @ 2.130973
11 British_Dodecad + Canarias_1000Genomes + Cantabria_1000Genomes + Morocco_Jews_Behar @ 2.137562
12 British_Dodecad + C_Italian_Dodecad + Canarias_1000Genomes + Canarias_1000Genomes @ 2.149821
13 Canarias_1000Genomes + German_Dodecad + Morocco_Jews_Behar + Pais_Vasco_1000Genomes @ 2.151866
14 Aragon_1000Genomes + Canarias_1000Genomes + Irish_Dodecad + Morocco_Jews_Behar @ 2.153870
15 C_Italian_Dodecad + Canarias_1000Genomes + Canarias_1000Genomes + Cornwall_1000Genomes @ 2.163890
16 Canarias_1000Genomes + Canarias_1000Genomes + French_Dodecad + TSI30_Metspalu @ 2.167240
17 Bulgarian_Dodecad + Canarias_1000Genomes + Castilla_La_Mancha_1000Genomes + Portuguese_Dodecad @ 2.193600
18 British_Isles_Dodecad + Castilla_Y_Leon_1000Genomes + Castilla_Y_Leon_1000Genomes + Morocco_Jews_Behar @ 2.206862
19 Canarias_1000Genomes + Canarias_1000Genomes + French_Dodecad + O_Italian_Dodecad @ 2.215204
20 Canarias_1000Genomes + Cantabria_1000Genomes + English_Dodecad + Morocco_Jews_Behar @ 2.237003

Done.

Elapsed time 0.6238 seconds.

Population
Gedrosia 5.29 Pct
Siberian 1.33 Pct
Northwest_African 3.65 Pct
Southeast_Asian -
Atlantic_Med 22.28 Pct
North_European 9.52 Pct
South_Asian 0.29 Pct
East_African 3.94 Pct
Southwest_Asian 6.83 Pct
East_Asian 1.12 Pct
Caucasus 4.15 Pct
Sub_Saharan 41.6 Pct

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 52.1% Portuguese (Dodecad) + 47.9% Bantu_S.E._Tswana (HGDP) @ 6.25
2 53.5% Portuguese (Dodecad) + 46.5% Bantu_S.W._Herero (HGDP) @ 6.27
3 51.6% Murcia (1000Genomes) + 48.4% Bantu_S.E._Tswana (HGDP) @ 6.58

Using 2 populations approximation:
1 50% Bantu_S.E._Tswana_HGDP +50% Portuguese_Dodecad @ 6.651559


Using 3 populations approximation:
1 50% ASW30_HapMap3 +25% Egyptans_Behar +25% Pais_Vasco_1000Genomes @ 4.817528


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++
1 ASW30_HapMap3 + ASW30_HapMap3 + Egyptans_Behar + Pais_Vasco_1000Genomes @ 4.817528
2 ASW30_HapMap3 + ASW30_HapMap3 + Egyptans_Behar + French_Basque_HGDP @ 5.306351
3 ASW30_HapMap3 + ASW30_HapMap3 + French_Basque_HGDP + Yemenese_Behar @ 5.789483

2 mode worked well, 4 and 3 mode not that much . . .