Congolese Rice
01-14-2018, 02:20 PM
Because as some of ya'll know, my dad's family is mostly from america, and Germany/Britain/Scotland/France but it could've also been possible that the families born in France were Italian? I seem to get ALOT of italian results from Tuscany and i'll post some here.
Doug's results for me:
I tried more custom fits. I can only get Italian of any sort if I completely
exclude Ethiopian and force in some
American. Then
I get this:
USA_East 0.0230 Mozabite 0.0620 English 0.6704 Yoruba 0.2446 or
USA_East 0.0230 Mozabite 0.0681 Germany 0.6653 Yoruba 0.2436 or
USA_East 0.0230 Moroccan 0.0603 English 0.6715 Yoruba 0.2453 or
USA_East 0.0230 Spain 0.2004 English 0.5191 Yoruba 0.2575 or
USA_East 0.0230 Italian 0.1666 English 0.5508 Yoruba 0.2596 or
USA_East 0.0230 English 0.7037 Bantu_Kenya 0.1616 Mandenka 0.1118 or
USA_East 0.0230 Sicily 0.0936 English 0.6265 Yoruba 0.2569 or
USA_East 0.0230 Spain 0.3241 Irish 0.3986 Yoruba 0.2543 or
USA_East 0.0230 Cypriot 0.0700 English 0.6488 Yoruba 0.2581 or
USA_East 0.0230 Tuscan 0.1183 English 0.5995 Yoruba 0.2592 or
USA_East 0.0230 Moroccan 0.0614 Germany 0.6700 Yoruba 0.2457 or
USA_East 0.0230 Italian 0.2816 Irish 0.4379 Yoruba 0.2575
where Italian means NORTHERN Italy. These do fit nicely.
Once again ... all this means that NO DNA FIT can be considered as reliable
in an exact way.
In actual fact, I think your African part is mostly western with some of EITHER North
Africa or East Africa.
Doug
-------
he also recommended Dodecad for me and this is what Dodecad V3 said.
Dodecad V3 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.
The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.
Admix Results (sorted):
# Population Percent
1 West_European 37.44
2 Neo_African 15.68
3 Mediterranean 15.08
4 East_European 9.09
5 Palaeo_African 8.11
6 West_Asian 5.92
7 East_African 3.11
8 Southwest_Asian 1.90
9 Northeast_Asian 1.28
10 South_Asian 1.19
Finished reading population data. 227 populations found.
12 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Slovenian_Xing @ 24.081734
2 N._European_Xing @ 25.746498
3 German_Dodecad @ 25.804239
4 CEU_HapMap @ 26.651060
5 Argyll_1000 Genomes @ 27.100119
6 Hungarians_Behar @ 27.123388
7 Orcadian_HGDP @ 27.879148
8 Orkney_1000 Genomes @ 27.918325
9 French_HGDP @ 30.299143
10 Mixed_Germanic_Dodecad @ 30.326633
11 French_Dodecad @ 30.477335
12 Dutch_Dodecad @ 31.663853
13 Tuscan_Xing @ 32.544338
14 Tuscan_Henn @ 32.868088
15 TSI_HapMap @ 33.249676
16 Kent_1000 Genomes @ 33.501522
17 Balkans_Dodecad @ 33.844997
18 Swedish_Dodecad @ 34.124325
19 FIN_1000Genomes @ 34.409260
20 Romanians_14_Behar @ 34.549145
Using 2 populations approximation:
1 50% ASW_HapMap +50% Orkney_1000 Genomes @ 10.825508
Using 3 populations approximation:
1 50% Norwegian_Dodecad +25% Romanians_14_Behar +25% Brong_Henn @ 3.425532
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++
1 FIN_1000Genomes + Irish_Dodecad + Brong_Henn + Tuscan_Xing @ 2.336020
2 FIN_1000Genomes + Irish_Dodecad + Bambaran_Xing + Tuscan_Xing @ 2.359573
3 FIN_1000Genomes + Irish_Dodecad + Igbo_Henn + Tuscan_Xing @ 2.411515
4 FIN_1000Genomes + Irish_Dodecad + Hausa_Henn + Tuscan_Xing @ 2.417450
5 British_Isles_Dodecad + FIN_1000Genomes + Brong_Henn + Tuscan_Xing @ 2.483933
6 British_Isles_Dodecad + FIN_1000Genomes + Bambaran_Xing + Tuscan_Xing @ 2.505350
7 British_Dodecad + FIN_1000Genomes + Brong_Henn + Tuscan_Xing @ 2.509340
8 British_Dodecad + FIN_1000Genomes + Bambaran_Xing + Tuscan_Xing @ 2.538645
9 British_Isles_Dodecad + FIN_1000Genomes + Igbo_Henn + Tuscan_Xing @ 2.544745
10 British_Isles_Dodecad + FIN_1000Genomes + Hausa_Henn + Tuscan_Xing @ 2.575923
11 British_Dodecad + FIN_1000Genomes + Igbo_Henn + Tuscan_Xing @ 2.585017
12 Cornwall_1000 Genomes + FIN_1000Genomes + Brong_Henn + Tuscan_Xing @ 2.598593
13 British_Dodecad + FIN_1000Genomes + Hausa_Henn + Tuscan_Xing @ 2.599621
14 FIN_1000Genomes + Irish_Dodecad + Brong_Henn + Tuscan_Henn @ 2.603487
15 Cornwall_1000 Genomes + FIN_1000Genomes + Bambaran_Xing + Tuscan_Xing @ 2.619074
16 FIN_1000Genomes + Irish_Dodecad + Dogon_Xing + Tuscan_Xing @ 2.625790
17 FIN_1000Genomes + Irish_Dodecad + Tuscan_Henn + Bambaran_Xing @ 2.627121
18 FIN_1000Genomes + Irish_Dodecad + Igbo_Henn + Tuscan_Henn @ 2.655639
19 FIN_1000Genomes + Irish_Dodecad + Bamoun_Henn + Tuscan_Xing @ 2.665755
20 Cornwall_1000 Genomes + FIN_1000Genomes + Igbo_Henn + Tuscan_Xing @ 2.671687
------
Dodecad K7b 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.
The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.
Admix Results (sorted):
# Population Percent
1 Atlantic_Baltic 51.67
2 African 26.20
3 Southern 9.40
4 West_Asian 8.72
5 East_Asian 1.56
6 South_Asian 1.37
7 Siberian 1.08
Finished reading population data. 223 populations found.
7 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Romanians_Behar @ 31.669256
2 Bulgarians_Yunusbayev @ 32.200287
3 Portuguese_Dodecad @ 32.474613
4 Bulgarian_Dodecad @ 32.495956
5 Hungarians_Behar @ 32.503468
6 Extremadura_1000Genomes @ 32.741032
7 Canarias_1000Genomes @ 33.057869
8 N_Italian_Dodecad @ 33.381195
9 Galicia_1000Genomes @ 33.401508
10 Spaniards_Behar @ 33.482029
11 French_HGDP @ 33.617481
12 French_Dodecad @ 33.727570
13 Baleares_1000Genomes @ 33.824589
14 Murcia_1000Genomes @ 33.935936
15 Andalucia_1000Genomes @ 34.039829
16 North_Italian_HGDP @ 34.202591
17 Spanish_Dodecad @ 34.228382
18 Castilla_Y_Leon_1000Genomes @ 34.280285
19 Cataluna_1000Genomes @ 34.296623
20 O_Italian_Dodecad @ 34.394104
Using 2 populations approximation:
1 50% Lithuanians_Behar +50% MKK30_Dodecad @ 14.328816
Using 3 populations approximation:
1 50% Mixed_Slav_Dodecad +25% Portuguese_Dodecad +25% Yoruba_HGDP @ 2.481023
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++
1 Bantu_S.W._Herero_HGDP + Canarias_1000Genomes + Russian_B_Behar + Russian_B_Behar @ 2.121979
2 Bantu_S.E._Pedi_HGDP + Canarias_1000Genomes + Russian_B_Behar + Russian_B_Behar @ 2.156189
3 Bantu_S.E._S.Sotho_HGDP + Canarias_1000Genomes + Russian_B_Behar + Russian_B_Behar @ 2.156189
4 Bantu_S.W._Ovambo_HGDP + Canarias_1000Genomes + Russian_B_Behar + Russian_B_Behar @ 2.156189
5 Canarias_1000Genomes + Russian_B_Behar + Russian_B_Behar + Yoruba_HGDP @ 2.156189
6 Canarias_1000Genomes + Russian_B_Behar + Russian_B_Behar + YRI30_HGDP @ 2.156189
7 Bantu_S.E._Tswana_HGDP + Canarias_1000Genomes + Russian_B_Behar + Russian_B_Behar @ 2.185524
8 Bantu_S.E._Zulu_HGDP + Canarias_1000Genomes + Russian_B_Behar + Russian_B_Behar @ 2.198580
9 Canarias_1000Genomes + Mandenka_HGDP + Russian_B_Behar + Russian_B_Behar @ 2.255914
10 Bantu_S.E._Pedi_HGDP + Mixed_Slav_Dodecad + Mordovians_Yunusbayev + Portuguese_Dodecad @ 2.273334
11 Bantu_S.E._S.Sotho_HGDP + Mixed_Slav_Dodecad + Mordovians_Yunusbayev + Portuguese_Dodecad @ 2.273334
12 Bantu_S.W._Ovambo_HGDP + Mixed_Slav_Dodecad + Mordovians_Yunusbayev + Portuguese_Dodecad @ 2.273334
13 Mixed_Slav_Dodecad + Mordovians_Yunusbayev + Portuguese_Dodecad + Yoruba_HGDP @ 2.273334
14 Mixed_Slav_Dodecad + Mordovians_Yunusbayev + Portuguese_Dodecad + YRI30_HGDP @ 2.273334
15 Bantu_S.W._Herero_HGDP + Mixed_Slav_Dodecad + Mordovians_Yunusbayev + Portuguese_Dodecad @ 2.274146
16 Bantu_S.W._Herero_HGDP + Portuguese_Dodecad + Russian_B_Behar + Ukranians_Yunusbayev @ 2.306441
17 Bantu_S.E._Pedi_HGDP + Portuguese_Dodecad + Russian_B_Behar + Ukranians_Yunusbayev @ 2.306734
18 Bantu_S.E._S.Sotho_HGDP + Portuguese_Dodecad + Russian_B_Behar + Ukranians_Yunusbayev @ 2.306734
19 Bantu_S.W._Ovambo_HGDP + Portuguese_Dodecad + Russian_B_Behar + Ukranians_Yunusbayev @ 2.306734
20 Portuguese_Dodecad + Russian_B_Behar + Ukranians_Yunusbayev + Yoruba_HGDP @ 2.306734
-----
MDLP World-22 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.
Admix Results (sorted):
# Population Percent
1 North-East-European 31.26
2 Sub-Saharian 24.19
3 Atlantic_Mediterranean_Neolithic 21.82
4 West-Asian 5.50
5 Near_East 4.59
6 North-European-Mesolithic 4.06
7 Samoedic 1.83
8 Indo-Iranian 1.68
9 South-America_Amerind 1.33
10 South-African 1.06
Finished reading population data. 276 populations found.
22 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Lumbee_derived @ 8.078417
2 Puerto-Rican_derived @ 24.059776
3 Romania_derived @ 29.724625
4 Bulgarian_derived @ 30.110579
5 Macedonian_derived @ 30.202065
6 Colville_derived @ 30.484869
7 Swiss_derived @ 30.489511
8 Gagauz_derived @ 30.635420
9 Serbian_derived @ 30.708948
10 Montenegrin_derived @ 30.749956
11 Tatar_derived @ 31.583218
12 German-South_derived @ 31.661509
13 Bosnian_derived @ 32.331478
14 Ashkenazim_V_derived @ 32.430695
15 Hungarian_derived @ 32.470543
16 Tatar_Lithuania_derived @ 32.499420
17 Italian_North_derived @ 32.542992
18 Tatar_Kryashen_derived @ 32.708664
19 Austrian_derived @ 32.778095
20 Provancestralal_derived @ 32.819233
Using 2 populations approximation:
1 50% Lumbee_derived +50% Lumbee_derived @ 8.078417
Using 3 populations approximation:
1 50% German_derived +25% Lemba_derived +25% Puerto-Rican_derived @ 2.831340
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +
1 German-South_derived + Lemba_derived + Puerto-Rican_derived + Russian_North_derived @ 2.697762
2 German-South_derived + Lemba_derived + Mordovian_derived + Puerto-Rican_derived @ 2.787615
3 Italian-South_derived + Mandenka_derived + Orcadian_derived + Russian_North_derived @ 2.810784
4 Sub-Saharian_ancestral + Italian-South_derived + Orcadian_derived + Russian_North_derived @ 2.815367
5 Italian-South_derived + Orcadian_derived + Russian_North_derived + Yoruba_derived @ 2.815367
6 CEU_derived + Lemba_derived + Mordovian_derived + Puerto-Rican_derived @ 2.822053
7 German_derived + German_derived + Lemba_derived + Puerto-Rican_derived @ 2.831340
8 Bantu_derived + Montenegrin_derived + Puerto-Rican_derived + Russian_North_derived @ 2.835346
9 Mandenka_derived + Orcadian_derived + Russian_North_derived + Sicilian_derived @ 2.847622
10 Sub-Saharian_ancestral + Ashkenazim_V_derived + French_derived + Russian_North_derived @ 2.847806
11 Ashkenazim_V_derived + French_derived + Russian_North_derived + Yoruba_derived @ 2.847806
12 Ashkenazim_V_derived + French_derived + Mandenka_derived + Russian_North_derived @ 2.849118
13 Sub-Saharian_ancestral + Orcadian_derived + Russian_North_derived + Sicilian_derived @ 2.849255
14 Orcadian_derived + Russian_North_derived + Sicilian_derived + Yoruba_derived @ 2.849255
15 Latvian_V_derived + Lemba_derived + Norwegian_V_derived + Puerto-Rican_derived @ 2.859424
16 Italian-South_derived + Mandenka_derived + Norwegian_V_derived + Russian_North_derived @ 2.861637
17 Sub-Saharian_ancestral + Italian-South_derived + Norwegian_V_derived + Russian_North_derived @ 2.866139
18 Italian-South_derived + Norwegian_V_derived + Russian_North_derived + Yoruba_derived @ 2.866139
19 Bantu_derived + Orcadian_derived + Russian_North_derived + Sicilian_derived @ 2.870059
20 Bantu_derived + Italian-South_derived + Orcadian_derived + Russian_North_derived @ 2.906447
^ here is alot of south italian/sicilian results 2
------
DNA.LAND:
West Eurasian 75%
Northwest European 55%
Mediterranean Islander 13%
Finnish 3.2%
Balkan 2.2%
Ambiguous 1.4%
African 21%
West African 20%
Lower Niger Valley 16%
Mende/Akan 4.5%
Ambiguous 1.1%
East Asian 2.4% Taiwanese 1.3%
Northeast Asian 1.1% Ambiguous 1.1%
Amazonian 1.2%
And Gencove said i had 14% Eastern Mediterranean ancestry. (reference populations, Albania, Greece, Sicily, etc)
Geneplaza said this : 13.9% Eastern Mediterranean (same reference populations) and 1.9% southwestern europe (spain i assume)
so what does this all mean? Is my Italian more prominent than my Latino or not?
Doug's results for me:
I tried more custom fits. I can only get Italian of any sort if I completely
exclude Ethiopian and force in some
American. Then
I get this:
USA_East 0.0230 Mozabite 0.0620 English 0.6704 Yoruba 0.2446 or
USA_East 0.0230 Mozabite 0.0681 Germany 0.6653 Yoruba 0.2436 or
USA_East 0.0230 Moroccan 0.0603 English 0.6715 Yoruba 0.2453 or
USA_East 0.0230 Spain 0.2004 English 0.5191 Yoruba 0.2575 or
USA_East 0.0230 Italian 0.1666 English 0.5508 Yoruba 0.2596 or
USA_East 0.0230 English 0.7037 Bantu_Kenya 0.1616 Mandenka 0.1118 or
USA_East 0.0230 Sicily 0.0936 English 0.6265 Yoruba 0.2569 or
USA_East 0.0230 Spain 0.3241 Irish 0.3986 Yoruba 0.2543 or
USA_East 0.0230 Cypriot 0.0700 English 0.6488 Yoruba 0.2581 or
USA_East 0.0230 Tuscan 0.1183 English 0.5995 Yoruba 0.2592 or
USA_East 0.0230 Moroccan 0.0614 Germany 0.6700 Yoruba 0.2457 or
USA_East 0.0230 Italian 0.2816 Irish 0.4379 Yoruba 0.2575
where Italian means NORTHERN Italy. These do fit nicely.
Once again ... all this means that NO DNA FIT can be considered as reliable
in an exact way.
In actual fact, I think your African part is mostly western with some of EITHER North
Africa or East Africa.
Doug
-------
he also recommended Dodecad for me and this is what Dodecad V3 said.
Dodecad V3 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.
The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.
Admix Results (sorted):
# Population Percent
1 West_European 37.44
2 Neo_African 15.68
3 Mediterranean 15.08
4 East_European 9.09
5 Palaeo_African 8.11
6 West_Asian 5.92
7 East_African 3.11
8 Southwest_Asian 1.90
9 Northeast_Asian 1.28
10 South_Asian 1.19
Finished reading population data. 227 populations found.
12 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Slovenian_Xing @ 24.081734
2 N._European_Xing @ 25.746498
3 German_Dodecad @ 25.804239
4 CEU_HapMap @ 26.651060
5 Argyll_1000 Genomes @ 27.100119
6 Hungarians_Behar @ 27.123388
7 Orcadian_HGDP @ 27.879148
8 Orkney_1000 Genomes @ 27.918325
9 French_HGDP @ 30.299143
10 Mixed_Germanic_Dodecad @ 30.326633
11 French_Dodecad @ 30.477335
12 Dutch_Dodecad @ 31.663853
13 Tuscan_Xing @ 32.544338
14 Tuscan_Henn @ 32.868088
15 TSI_HapMap @ 33.249676
16 Kent_1000 Genomes @ 33.501522
17 Balkans_Dodecad @ 33.844997
18 Swedish_Dodecad @ 34.124325
19 FIN_1000Genomes @ 34.409260
20 Romanians_14_Behar @ 34.549145
Using 2 populations approximation:
1 50% ASW_HapMap +50% Orkney_1000 Genomes @ 10.825508
Using 3 populations approximation:
1 50% Norwegian_Dodecad +25% Romanians_14_Behar +25% Brong_Henn @ 3.425532
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++
1 FIN_1000Genomes + Irish_Dodecad + Brong_Henn + Tuscan_Xing @ 2.336020
2 FIN_1000Genomes + Irish_Dodecad + Bambaran_Xing + Tuscan_Xing @ 2.359573
3 FIN_1000Genomes + Irish_Dodecad + Igbo_Henn + Tuscan_Xing @ 2.411515
4 FIN_1000Genomes + Irish_Dodecad + Hausa_Henn + Tuscan_Xing @ 2.417450
5 British_Isles_Dodecad + FIN_1000Genomes + Brong_Henn + Tuscan_Xing @ 2.483933
6 British_Isles_Dodecad + FIN_1000Genomes + Bambaran_Xing + Tuscan_Xing @ 2.505350
7 British_Dodecad + FIN_1000Genomes + Brong_Henn + Tuscan_Xing @ 2.509340
8 British_Dodecad + FIN_1000Genomes + Bambaran_Xing + Tuscan_Xing @ 2.538645
9 British_Isles_Dodecad + FIN_1000Genomes + Igbo_Henn + Tuscan_Xing @ 2.544745
10 British_Isles_Dodecad + FIN_1000Genomes + Hausa_Henn + Tuscan_Xing @ 2.575923
11 British_Dodecad + FIN_1000Genomes + Igbo_Henn + Tuscan_Xing @ 2.585017
12 Cornwall_1000 Genomes + FIN_1000Genomes + Brong_Henn + Tuscan_Xing @ 2.598593
13 British_Dodecad + FIN_1000Genomes + Hausa_Henn + Tuscan_Xing @ 2.599621
14 FIN_1000Genomes + Irish_Dodecad + Brong_Henn + Tuscan_Henn @ 2.603487
15 Cornwall_1000 Genomes + FIN_1000Genomes + Bambaran_Xing + Tuscan_Xing @ 2.619074
16 FIN_1000Genomes + Irish_Dodecad + Dogon_Xing + Tuscan_Xing @ 2.625790
17 FIN_1000Genomes + Irish_Dodecad + Tuscan_Henn + Bambaran_Xing @ 2.627121
18 FIN_1000Genomes + Irish_Dodecad + Igbo_Henn + Tuscan_Henn @ 2.655639
19 FIN_1000Genomes + Irish_Dodecad + Bamoun_Henn + Tuscan_Xing @ 2.665755
20 Cornwall_1000 Genomes + FIN_1000Genomes + Igbo_Henn + Tuscan_Xing @ 2.671687
------
Dodecad K7b 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.
The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.
Admix Results (sorted):
# Population Percent
1 Atlantic_Baltic 51.67
2 African 26.20
3 Southern 9.40
4 West_Asian 8.72
5 East_Asian 1.56
6 South_Asian 1.37
7 Siberian 1.08
Finished reading population data. 223 populations found.
7 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Romanians_Behar @ 31.669256
2 Bulgarians_Yunusbayev @ 32.200287
3 Portuguese_Dodecad @ 32.474613
4 Bulgarian_Dodecad @ 32.495956
5 Hungarians_Behar @ 32.503468
6 Extremadura_1000Genomes @ 32.741032
7 Canarias_1000Genomes @ 33.057869
8 N_Italian_Dodecad @ 33.381195
9 Galicia_1000Genomes @ 33.401508
10 Spaniards_Behar @ 33.482029
11 French_HGDP @ 33.617481
12 French_Dodecad @ 33.727570
13 Baleares_1000Genomes @ 33.824589
14 Murcia_1000Genomes @ 33.935936
15 Andalucia_1000Genomes @ 34.039829
16 North_Italian_HGDP @ 34.202591
17 Spanish_Dodecad @ 34.228382
18 Castilla_Y_Leon_1000Genomes @ 34.280285
19 Cataluna_1000Genomes @ 34.296623
20 O_Italian_Dodecad @ 34.394104
Using 2 populations approximation:
1 50% Lithuanians_Behar +50% MKK30_Dodecad @ 14.328816
Using 3 populations approximation:
1 50% Mixed_Slav_Dodecad +25% Portuguese_Dodecad +25% Yoruba_HGDP @ 2.481023
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++
1 Bantu_S.W._Herero_HGDP + Canarias_1000Genomes + Russian_B_Behar + Russian_B_Behar @ 2.121979
2 Bantu_S.E._Pedi_HGDP + Canarias_1000Genomes + Russian_B_Behar + Russian_B_Behar @ 2.156189
3 Bantu_S.E._S.Sotho_HGDP + Canarias_1000Genomes + Russian_B_Behar + Russian_B_Behar @ 2.156189
4 Bantu_S.W._Ovambo_HGDP + Canarias_1000Genomes + Russian_B_Behar + Russian_B_Behar @ 2.156189
5 Canarias_1000Genomes + Russian_B_Behar + Russian_B_Behar + Yoruba_HGDP @ 2.156189
6 Canarias_1000Genomes + Russian_B_Behar + Russian_B_Behar + YRI30_HGDP @ 2.156189
7 Bantu_S.E._Tswana_HGDP + Canarias_1000Genomes + Russian_B_Behar + Russian_B_Behar @ 2.185524
8 Bantu_S.E._Zulu_HGDP + Canarias_1000Genomes + Russian_B_Behar + Russian_B_Behar @ 2.198580
9 Canarias_1000Genomes + Mandenka_HGDP + Russian_B_Behar + Russian_B_Behar @ 2.255914
10 Bantu_S.E._Pedi_HGDP + Mixed_Slav_Dodecad + Mordovians_Yunusbayev + Portuguese_Dodecad @ 2.273334
11 Bantu_S.E._S.Sotho_HGDP + Mixed_Slav_Dodecad + Mordovians_Yunusbayev + Portuguese_Dodecad @ 2.273334
12 Bantu_S.W._Ovambo_HGDP + Mixed_Slav_Dodecad + Mordovians_Yunusbayev + Portuguese_Dodecad @ 2.273334
13 Mixed_Slav_Dodecad + Mordovians_Yunusbayev + Portuguese_Dodecad + Yoruba_HGDP @ 2.273334
14 Mixed_Slav_Dodecad + Mordovians_Yunusbayev + Portuguese_Dodecad + YRI30_HGDP @ 2.273334
15 Bantu_S.W._Herero_HGDP + Mixed_Slav_Dodecad + Mordovians_Yunusbayev + Portuguese_Dodecad @ 2.274146
16 Bantu_S.W._Herero_HGDP + Portuguese_Dodecad + Russian_B_Behar + Ukranians_Yunusbayev @ 2.306441
17 Bantu_S.E._Pedi_HGDP + Portuguese_Dodecad + Russian_B_Behar + Ukranians_Yunusbayev @ 2.306734
18 Bantu_S.E._S.Sotho_HGDP + Portuguese_Dodecad + Russian_B_Behar + Ukranians_Yunusbayev @ 2.306734
19 Bantu_S.W._Ovambo_HGDP + Portuguese_Dodecad + Russian_B_Behar + Ukranians_Yunusbayev @ 2.306734
20 Portuguese_Dodecad + Russian_B_Behar + Ukranians_Yunusbayev + Yoruba_HGDP @ 2.306734
-----
MDLP World-22 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.
Admix Results (sorted):
# Population Percent
1 North-East-European 31.26
2 Sub-Saharian 24.19
3 Atlantic_Mediterranean_Neolithic 21.82
4 West-Asian 5.50
5 Near_East 4.59
6 North-European-Mesolithic 4.06
7 Samoedic 1.83
8 Indo-Iranian 1.68
9 South-America_Amerind 1.33
10 South-African 1.06
Finished reading population data. 276 populations found.
22 components mode.
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Least-squares method.
Using 1 population approximation:
1 Lumbee_derived @ 8.078417
2 Puerto-Rican_derived @ 24.059776
3 Romania_derived @ 29.724625
4 Bulgarian_derived @ 30.110579
5 Macedonian_derived @ 30.202065
6 Colville_derived @ 30.484869
7 Swiss_derived @ 30.489511
8 Gagauz_derived @ 30.635420
9 Serbian_derived @ 30.708948
10 Montenegrin_derived @ 30.749956
11 Tatar_derived @ 31.583218
12 German-South_derived @ 31.661509
13 Bosnian_derived @ 32.331478
14 Ashkenazim_V_derived @ 32.430695
15 Hungarian_derived @ 32.470543
16 Tatar_Lithuania_derived @ 32.499420
17 Italian_North_derived @ 32.542992
18 Tatar_Kryashen_derived @ 32.708664
19 Austrian_derived @ 32.778095
20 Provancestralal_derived @ 32.819233
Using 2 populations approximation:
1 50% Lumbee_derived +50% Lumbee_derived @ 8.078417
Using 3 populations approximation:
1 50% German_derived +25% Lemba_derived +25% Puerto-Rican_derived @ 2.831340
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +
1 German-South_derived + Lemba_derived + Puerto-Rican_derived + Russian_North_derived @ 2.697762
2 German-South_derived + Lemba_derived + Mordovian_derived + Puerto-Rican_derived @ 2.787615
3 Italian-South_derived + Mandenka_derived + Orcadian_derived + Russian_North_derived @ 2.810784
4 Sub-Saharian_ancestral + Italian-South_derived + Orcadian_derived + Russian_North_derived @ 2.815367
5 Italian-South_derived + Orcadian_derived + Russian_North_derived + Yoruba_derived @ 2.815367
6 CEU_derived + Lemba_derived + Mordovian_derived + Puerto-Rican_derived @ 2.822053
7 German_derived + German_derived + Lemba_derived + Puerto-Rican_derived @ 2.831340
8 Bantu_derived + Montenegrin_derived + Puerto-Rican_derived + Russian_North_derived @ 2.835346
9 Mandenka_derived + Orcadian_derived + Russian_North_derived + Sicilian_derived @ 2.847622
10 Sub-Saharian_ancestral + Ashkenazim_V_derived + French_derived + Russian_North_derived @ 2.847806
11 Ashkenazim_V_derived + French_derived + Russian_North_derived + Yoruba_derived @ 2.847806
12 Ashkenazim_V_derived + French_derived + Mandenka_derived + Russian_North_derived @ 2.849118
13 Sub-Saharian_ancestral + Orcadian_derived + Russian_North_derived + Sicilian_derived @ 2.849255
14 Orcadian_derived + Russian_North_derived + Sicilian_derived + Yoruba_derived @ 2.849255
15 Latvian_V_derived + Lemba_derived + Norwegian_V_derived + Puerto-Rican_derived @ 2.859424
16 Italian-South_derived + Mandenka_derived + Norwegian_V_derived + Russian_North_derived @ 2.861637
17 Sub-Saharian_ancestral + Italian-South_derived + Norwegian_V_derived + Russian_North_derived @ 2.866139
18 Italian-South_derived + Norwegian_V_derived + Russian_North_derived + Yoruba_derived @ 2.866139
19 Bantu_derived + Orcadian_derived + Russian_North_derived + Sicilian_derived @ 2.870059
20 Bantu_derived + Italian-South_derived + Orcadian_derived + Russian_North_derived @ 2.906447
^ here is alot of south italian/sicilian results 2
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DNA.LAND:
West Eurasian 75%
Northwest European 55%
Mediterranean Islander 13%
Finnish 3.2%
Balkan 2.2%
Ambiguous 1.4%
African 21%
West African 20%
Lower Niger Valley 16%
Mende/Akan 4.5%
Ambiguous 1.1%
East Asian 2.4% Taiwanese 1.3%
Northeast Asian 1.1% Ambiguous 1.1%
Amazonian 1.2%
And Gencove said i had 14% Eastern Mediterranean ancestry. (reference populations, Albania, Greece, Sicily, etc)
Geneplaza said this : 13.9% Eastern Mediterranean (same reference populations) and 1.9% southwestern europe (spain i assume)
so what does this all mean? Is my Italian more prominent than my Latino or not?