It is because the test is made especially for Europeans. So that is the maps priority.
Printable View
By this weekend. I'll cut out most populations except Europeans & areas around Europe & add us into a hopefully tidy plot map.
So of you want in add your results on this thread.
^^ Eurogenes plots become more and more ludicrous with the time. They started by copying Dough McDonald plots and soon they will show Africans in the European plot. Ludicrous.
West Asia overall
http://abload.de/img/westasia_mfa_xiuzx.png
Mine changed from:
1 50% Scottish +50% South_Italian_&_Sicilian @ 5.018
2 50% Cornish +50% South_Italian_&_Sicilian @ 5.297
3 50% IE +50% South_Italian_&_Sicilian @ 5.311
to:
Using 2 populations approximation:
1 50% Southeast_English +50% Tuscan @ 7.105
2 50% Southwest_English +50% Tuscan @ 7.438
3 50% Irish +50% Tuscan @ 7.448
And from:
Least-squares method.
Using 1 population approximation:
1 North_Italian @ 10.247
2 Tuscan @ 11.519
3 PT @ 13.627
4 FR @ 13.873
5 ES @ 15.133
6 Serbian @ 16.937
7 AT @ 17.357
8 RO @ 17.377
9 West_&_Central_German @ 18.880
10 NL @ 20.122
78 iterations.
to:
Using 1 population approximation:
1 North_Italian @ 11.432
2 Spanish_Cataluna @ 12.179
3 French @ 12.417
4 Spanish_Murcia @ 12.550
5 Spanish_Extremadura @ 12.700
6 Spanish_Castilla_Y_Leon @ 12.862
7 Portuguese @ 12.879
8 Spanish_Galicia @ 13.807
9 Tuscan @ 14.414
10 Spanish_Valencia @ 14.427
165 iterations.
You don't understand how it works. Sometimes you can't put them onto the map, because they overlap on a one dimensional plot, when they are different.
You take or put in populations, effects how the map works.
For example, I took out some here.
http://imageshack.us/a/img820/5880/uuhw.jpg
Some components are ridiculously close..
Some of the North Sea component you have has eaten by Atlantic hence elevated Atlantic results.. You also score 0 North Sea but 8% Atlantic.. I believe some components shouldn't be taken separately but as a whole (at least for non-Europeans).. North Sea+Atlantic and Baltic+East European e.g.
My family versus the average (i'll use South-east English):
Component Average (SE English)/Me/Father/Grandfather/Grandmother/Mother/Aunt
North_Sea35.52/34.34/37.92/37.7/36.95/31.18/34.67
Atlantic29.86/24.73/25.18/25.81/29.05/23.94/24.37
Baltic9.89/11.82/12.04/13.72/9.14/14.2/12.6
Eastern_Euro8.36/8.91/8.41/8.22/8.17/7.43/7.27
West_Med8.77/8.52/9.36/7.26/11.56/10.32/12
West_Asian3.35/3.67/0.25/2.22/2.63/8.25/4.34
East_Med2.5/4.31/4.38/4.19/0.05/2.42/2.01
Red_Sea0.33/1.7/1.35/0/1.27/0/0
South_Asian0.58/0.89/0.68/0.69/0/1.25/1.8
Southeast_Asian0.03/0/0/0/1.18/0/0
Siberian0.05/0/0/0.19/0/0/0
Amerindian0.35/0.13/0.44/0/0/0/0.64
Oceanian0.31/0.41/0/0 /0/0.48/0.31
Northeast_African0.06/0.01/0/0/0/0/0
Sub-Saharan0.03/0.56/0/0/0/0.54/0
Dendrogram based on Fst distances and Europe-West Asia MDS analyses respectively.
http://abload.de/img/k15_mfa_eutestjibre.png
Eastern Euro, Baltic, North Sea, Atlantic are actually same components from the beginning but different % of Neolithic influences.. While West Med is ended up clustering with West Asia..
http://abload.de/img/mds_mfa_eutest0gzcn.png
I would not worry about this very much to be honest. Sure in some cases it may happen a little bit but overall I don't think it is much of a problem. I actually asked Polako about this yesterday. Here is his reply to me below.
''No, the Atlantic won't be lumped into North Sea here, because it's a different methodology.''
Well, that's interesting, because I also speculated that North_Sea is lumped into Atlantic in my case. I always score 0% North_Sea which is strange.
That probably means we are enemies now, North Sea barbarian! :mad: Our Pontic Facade highlands constitue a invulnerable stronghold against raiding invaders from the north! :cool:
http://imageshack.us/a/img849/3987/3w1c.png
It probably varies among individual non-Europeans. There are probably a number of reasons why you could score more Atlantic than North Sea. Nothing to worry about really though I don't think.
Aye prepare yourself Southerner! The ravages that us Northmen will bring are just about to begin! :cool: :p
Mines taking forever to load and then it says it timed out. Is everyone trying to do it at this exact moment?
Admix Results (sorted):
# Population Percent
1 North_Sea 18.35
2 Atlantic 17.44
3 West_Med 16.68
4 Amerindian 16.11
5 Sub-Saharan 9.17
6 East_Med 6.96
7 Red_Sea 5.24
8 Eastern_Euro 2.56
9 West_Asian 2.43
10 Northeast_African 2.23
11 Siberian 1.41
12 Baltic 1.40
Only posted top 3 of each here :
Using 1 population approximation:
1 Spanish_Galicia @ 21.541
2 Portuguese @ 21.783
3 Spanish_Extremadura @ 22.214
Using 2 populations approximation:
1 50% Mozabite_Berber +50% Orcadian @ 18.549
2 50% Mozabite_Berber +50% Southwest_English @ 18.655
3 50% Irish +50% Mozabite_Berber @ 18.712
Using 3 populations approximation:
1 50% French +25% Mozabite_Berber +25% North_Amerindian @ 9.880
2 50% French +25% Mayan +25% Mozabite_Berber @ 10.004
3 50% Southwest_English +25% Mozabite_Berber +25% North_Amerindian @ 10.165
Using 4 populations approximation:
1 Mozabite_Berber + North_Amerindian + Southwest_English + Spanish_Galicia @ 9.283
2 Mozabite_Berber + North_Amerindian + Orcadian + Spanish_Cantabria @ 9.331
3 Mozabite_Berber + North_Amerindian + Southwest_English + Spanish_Cantabria @ 9.402
1 Atlantic 20.74
2 East_Med 18.31
3 West_Med 15.82
4 North_Sea 11.77
5 Baltic 11.1
6 West_Asian 11.07
7 Red_Sea 5.94
8 Eastern_Euro 5.03
9 Southeast_Asian 0.21
10 Oceanian 0.02
Single Population Sharing:
# Population (source) Distance
1 Tuscan 6.67
2 Greek 7.82
3 Bulgarian 8.54
4 North_Italian 9.55
5 Romanian 9.94
6 Ashkenazi 12.35
7 Serbian 12.5
8 Spanish_Extremadura 15.59
9 Spanish_Andalucia 15.84
10 Portuguese 16.01
11 Spanish_Murcia 16.07
12 Spanish_Castilla_Y_Leon 16.45
13 Spanish_Galicia 16.64
14 Spanish_Cataluna 16.67
15 Spanish_Valencia 16.85
16 Austrian 17.72
17 Spanish_Castilla_La_Mancha 17.79
18 Sephardic_Jewish 18.01
19 French 18.96
20 Spanish_Cantabria 19.56
Oneeye's Oracle X:
Pct. Calc. Option 1
1 Orcadian 78.75%
2 Norwegian 10.09%
3 Lezgin 5.43%
4 Sardinian 3.91%
5 Armenian 0.98%
6 Mayan 0.75%
7 Chuvash 0.07%
8 Dutch 0.02%
9 Ashkenazi 0.00%
10 North_Swedish 0.00%
Pct. Calc. Option 2
0 Unable to determine 0.01%
1 Orcadian 74.04%
2 Norwegian 8.63%
3 Armenian 5.88%
4 Sardinian 2.67%
5 Chuvash 2.40%
6 West_Scottish 1.87%
7 Southwest_English 1.83%
8 French 1.55%
9 Mayan 1.11%
10 Lezgin 0.00%
Oneeye's Mother's Oracle X:
Pct. Calc. Option 1
1 Dutch 55.09%
2 Norwegian 33.96%
3 North_Swedish 3.96%
4 Chechen 3.88%
5 Lezgin 1.20%
6 Chuvash 0.64%
7 Mayan 0.51%
8 Estonian 0.38%
9 Ethiopian_Ari_cultivator 0.37%
10 Serbian 0.01%
Pct. Calc. Option 2
1 Dutch 36.60%
2 Norwegian 34.38%
3 North_Swedish 9.37%
4 Orcadian 6.38%
5 Lezgin 6.28%
6 Erzya 4.79%
7 Spanish_Cantabria 2.09%
8 Portuguese 0.09%
9 Chuvash 0.01%
10 Abhkasian 0.00%
EDIT: North Swedish = Sami?
Admix Results (sorted):
# Population Percent
1 North_Sea 16.58
2 East_Med 14.08
3 South_Asian 13.51
4 West_Med 13.39
5 West_Asian 12.61
6 Baltic 10.91
7 Eastern_Euro 7.45
8 Atlantic 5.61
9 Red_Sea 2.93
10 Southeast_Asian 1.85
11 Oceanian 1.06
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Romanian @ 17.823
2 Bulgarian @ 18.383
3 Serbian @ 19.717
4 Ashkenazi @ 20.879
5 Greek @ 20.905
6 Tuscan @ 23.050
7 Hungarian @ 24.190
8 North_Italian @ 25.130
9 Austrian @ 26.318
10 Tadjik @ 26.836
165 iterations.
Using 2 populations approximation:
1 50% Hungarian +50% Makrani @ 12.759
2 50% Makrani +50% Spanish_Galicia @ 12.918
3 50% Balochi +50% Spanish_Galicia @ 13.268
4 50% Brahui +50% Spanish_Galicia @ 13.366
5 50% French +50% Makrani @ 13.581
6 50% Brahui +50% Hungarian @ 13.810
7 50% Balochi +50% Hungarian @ 13.917
8 50% Makrani +50% Portuguese @ 13.937
9 50% Makrani +50% Serbian @ 13.999
10 50% North_Italian +50% Tadjik @ 14.043
13695 iterations.
Using 3 populations approximation:
1 50% Ashkenazi +25% Punjabi_Jat +25% Ukrainian_West @ 8.001
2 50% Ashkenazi +25% Punjabi_Jat +25% Ukrainian @ 8.043
3 50% Ashkenazi +25% Hungarian +25% Punjabi_Jat @ 8.121
4 50% Hungarian +25% Cyprian +25% Gujarati @ 8.202
5 50% Hungarian +25% Punjabi_Jat +25% Samaritan @ 8.253
6 50% Ashkenazi +25% Gujarati +25% Ukrainian_West @ 8.267
7 50% Ashkenazi +25% Gujarati +25% Ukrainian @ 8.284
8 50% Hungarian +25% Gujarati +25% Samaritan @ 8.319
9 50% Hungarian +25% Cyprian +25% Punjabi_Jat @ 8.354
10 50% Ashkenazi +25% Gujarati +25% Hungarian @ 8.418
952762 iterations.
Using 4 populations approximation:
1 Lebanese_Christian + Punjabi_Jat + Spanish_Galicia + Ukrainian @ 7.808
2 Punjabi_Jat + Samaritan + Spanish_Galicia + Ukrainian_West @ 7.809
3 Lebanese_Christian + Punjabi_Jat + Spanish_Galicia + Ukrainian_West @ 7.809
4 Punjabi_Jat + Samaritan + Spanish_Galicia + Ukrainian @ 7.823
5 Cyprian + Punjabi_Jat + Spanish_Galicia + Ukrainian_West @ 7.931
6 Ashkenazi + Ashkenazi + Punjabi_Jat + Ukrainian_West @ 8.001
7 Cyprian + Punjabi_Jat + Spanish_Galicia + Ukrainian @ 8.022
8 Ashkenazi + Ashkenazi + Punjabi_Jat + Ukrainian @ 8.043
9 Assyrian + Estonian + Punjabi_Jat + Sardinian @ 8.075
10 Punjabi_Jat + Spanish_Galicia + Syrian + Ukrainian_West @ 8.105
11 Punjabi_Jat + Spanish_Galicia + Syrian + Ukrainian @ 8.117
12 Ashkenazi + Ashkenazi + Hungarian + Punjabi_Jat @ 8.121
13 Ashkenazi + Punjabi_Jat + Tuscan + Ukrainian_West @ 8.124
14 Cyprian + Estonian + Sindhi + Spanish_Galicia @ 8.137
15 Cyprian + Sindhi + Spanish_Galicia + Ukrainian @ 8.140
16 Cyprian + Sindhi + Spanish_Galicia + Ukrainian_West @ 8.143
17 Estonian + Lebanese_Christian + Punjabi_Jat + Spanish_Galicia @ 8.146
18 French + Punjabi_Jat + Samaritan + Ukrainian_West @ 8.148
19 Estonian + Samaritan + Sindhi + Spanish_Galicia @ 8.149
20 Estonian + Punjabi_Jat + Samaritan + Spanish_Galicia @ 8.178
Turkish Average--My results--My aunt--My grandmother
West_Asian 29.39--36.94--41.02--40.08
East_Med 28.8--30.83--31.22--29.41
West_Med 7.79--6.75--8.46--10.11
Atlantic 7.28--2.82--6.22--8.01
Red_Sea 5.62--3.5--4.48--4.23
South_Asian 4.36--2.29--4.07--0.74
Eastern_Euro 4.13--3.82--2.01--4.04
Siberian 3.28--3.81--0.39--2.31
North_Sea 3.25--5.04--0.00--0.00
Baltic 2.98--2.65--0.00--0.35
Southeast_Asian 2.02--1.21--0.00--0.00
Oceanian 0.42--0.11--0.21--0.71
Amerindian 0.32--0.00--0.37--0.00
Northeast_African 0.3--0.18--0.00--0.00
Sub-Saharan 0.03--0.07--0.00--0.00
EUtest V2 K15 Oracle-x Population Fitting
My results:
Pct. Calc. Option 1
1 Armenian 80.06%
2 Lezgin 9.68%
3 North_Ossetian 4.99%
4 Dolgan 4.30%
5 Ukrainian_Northeast 0.97%
6 Greek 0.00%
7 Romanian 0.00%
8 Bulgarian 0.00%
9 Shors 0.00%
10 Nogay 0.00%
Pct. Calc. Option 2
1 Armenian 63.98%
2 Assyrian 8.48%
3 Nogay 8.36%
4 Chechen 7.76%
5 North_Ossetian 5.67%
6 Turkish 2.37%
7 Lebanese_Muslim 2.20%
8 Shors 1.05%
9 Cyprian 0.12%
10 Kumyk 0.00%
My aunts results:
Pct. Calc. Option 1
1 Armenian 35.03%
2 Abhkasian 31.74%
3 Cyprian 18.80%
4 Kurdish 14.05%
5 French_Basque 0.38%
6 Lebanese_Muslim 0.00%
7 Mozabite_Berber 0.00%
8 North_Ossetian 0.00%
9 Sephardic_Jewish 0.00%
10 Turkish 0.00%
Pct. Calc. Option 2
0 Unable to determine 0.01%
1 Armenian 53.52%
2 North_Ossetian 14.04%
3 Abhkasian 8.29%
4 French_Basque 6.36%
5 Turkish 4.51%
6 Kurdish 4.47%
7 Iranian 3.75%
8 Lebanese_Muslim 2.96%
9 Assyrian 2.09%
10 Syrian 0.00%
My aunts husbands results:
Admix Results (sorted):
# Population Percent
1 North_Sea 30.65
2 Atlantic 30.39
3 Eastern_Euro 11.02
4 West_Med 9.4
5 Baltic 8.68
6 East_Med 4.17
7 West_Asian 2.78
8 Northeast_African 0.96
9 Oceanian 0.77
10 South_Asian 0.57
11 Sub-Saharan 0.33
12 Amerindian 0.19
13 Red_Sea 0.09
Single Population Sharing:
# Population (source) Distance
1 Southeast_English 5.26
2 Southwest_English 5.71
3 Danish 6.41
4 German 6.43
5 Irish 6.93
6 West_Scottish 7.23
7 Dutch 7.77
8 French 8.95
9 Orcadian 9.65
10 Norwegian 11.36
11 Swedish 12.56
12 North_Swedish 13.57
13 Austrian 14.3
14 Spanish_Cataluna 15.02
15 Southwest_Finnish 16.08
16 Spanish_Galicia 16.21
17 Spanish_Castilla_Y_Leon 16.4
18 Hungarian 16.56
19 Portuguese 16.6
20 Spanish_Murcia 17.28
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 76.2% Danish + 23.8% Spanish_Valencia @ 3
2 78.1% Danish + 21.9% Spanish_Andalucia @ 3.04
3 76.6% Danish + 23.4% Spanish_Castilla_La_Mancha @ 3.12
4 77.5% Danish + 22.5% Spanish_Aragon @ 3.29
5 76.1% Danish + 23.9% Southwest_French @ 3.34
6 75.6% Danish + 24.4% Spanish_Murcia @ 3.35
7 72.9% Danish + 27.1% Spanish_Cataluna @ 3.43
8 76.1% Danish + 23.9% Spanish_Cantabria @ 3.45
9 76.2% Danish + 23.8% Spanish_Extremadura @ 3.5
10 75.1% Danish + 24.9% Spanish_Castilla_Y_Leon @ 3.61
11 75.6% Danish + 24.4% Portuguese @ 3.72
12 74.5% West_Scottish + 25.5% Spanish_Valencia @ 3.83
13 76.6% West_Scottish + 23.4% Spanish_Andalucia @ 3.83
14 80.2% Danish + 19.8% North_Italian @ 3.85
15 83.5% Southeast_English + 16.5% Spanish_Valencia @ 3.88
16 85% Southeast_English + 15% Spanish_Andalucia @ 3.9
17 84% Southeast_English + 16% Spanish_Castilla_La_Mancha @ 3.96
18 82.4% Danish + 17.6% French_Basque @ 3.97
19 75.2% West_Scottish + 24.8% Spanish_Castilla_La_Mancha @ 4.02
20 89.9% Danish + 10.1% Sardinian @ 4.03
Admix Results (sorted):
# Population Percent 1 North_Sea 37.17 2 Atlantic 21.84 3 Baltic 13.38 4 West_Med 10.59 5 Eastern_Euro 9.86 6 West_Asian 4.16 7 East_Med 1.18 8 Northeast_African 0.7 9 South_Asian 0.6 10 Oceanian 0.53
Single Population Sharing:
# Population (source) Distance 1 Dutch 4.23 2 Norwegian 5.26 3 Swedish 5.89 4 German 6.12 5 Orcadian 6.93 6 Southwest_English 7.36 7 Danish 7.9 8 Southeast_English 8.07 9 North_Swedish 8.68 10 Irish 8.72 11 West_Scottish 8.76 12 French 12.24 13 Southwest_Finnish 14.02 14 Hungarian 14.48 15 Austrian 16.15 16 Finnish 16.37 17 Serbian 19.34 18 Spanish_Galicia 19.41 19 Polish 19.92 20 Ukrainian_West 20.16
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance 1 90.1% Swedish + 9.9% Sardinian @ 2.83 2 91.5% Norwegian + 8.5% Sardinian @ 2.87 3 79.7% Swedish + 20.3% Spanish_Galicia @ 3.3 4 82.5% Norwegian + 17.5% Spanish_Galicia @ 3.34 5 86% Norwegian + 14% North_Italian @ 3.42 6 71.1% Swedish + 28.9% French @ 3.44 7 81.3% Swedish + 18.7% Portuguese @ 3.49 8 84.1% Norwegian + 15.9% Portuguese @ 3.52 9 75% Norwegian + 25% French @ 3.53 10 83% Swedish + 17% Spanish_Cantabria @ 3.59 11 88.3% Norwegian + 11.7% Tuscan @ 3.63 12 81.3% Swedish + 18.7% Spanish_Cataluna @ 3.7 13 84.3% Norwegian + 15.7% Spanish_Cataluna @ 3.7 14 85.1% Norwegian + 14.9% Spanish_Castilla_Y_Leon @ 3.72 15 83.2% Swedish + 16.8% Spanish_Extremadura @ 3.74 16 86% Norwegian + 14% Spanish_Cantabria @ 3.74 17 85.9% Norwegian + 14.1% Spanish_Extremadura @ 3.75 18 87.6% Norwegian + 12.4% Spanish_Andalucia @ 3.76 19 84.4% Swedish + 15.6% North_Italian @ 3.77 20 89.9% Norwegian + 10.1% Greek @ 3.81
Using 2 populations approximation:
1 50% German +50% Norwegian @ 4.610
2 50% Dutch +50% Norwegian @ 4.667
3 50% Dutch +50% Swedish @ 4.701
4 50% Dutch +50% Dutch @ 4.771
5 50% Southwest_English +50% Swedish @ 4.796
6 50% German +50% Swedish @ 4.910
7 50% Norwegian +50% Southwest_English @ 5.231
8 50% North_Swedish +50% Southwest_English @ 5.505
9 50% Dutch +50% German @ 5.622
10 50% Norwegian +50% Norwegian @ 5.704
13695 iterations.
Using 3 populations approximation:
1 50% Norwegian +25% French +25% Swedish @ 3.963
2 50% Swedish +25% French +25% Norwegian @ 3.968
3 50% Norwegian +25% French +25% Norwegian @ 4.086
4 50% Swedish +25% French +25% Swedish @ 4.100
5 50% Swedish +25% Dutch +25% French @ 4.235
6 50% Swedish +25% Norwegian +25% Spanish_Galicia @ 4.395
7 50% Norwegian +25% Dutch +25% German @ 4.428
8 50% Swedish +25% Spanish_Galicia +25% Swedish @ 4.431
9 50% Swedish +25% French +25% Orcadian @ 4.441
10 50% Dutch +25% Dutch +25% Swedish @ 4.461
320289 iterations.
Using 4 populations approximation:
1 French + Norwegian + Norwegian + Swedish @ 3.963
2 French + Norwegian + Swedish + Swedish @ 3.968
3 French + Norwegian + Norwegian + Norwegian @ 4.086
4 French + Swedish + Swedish + Swedish @ 4.100
5 Dutch + French + Swedish + Swedish @ 4.235
6 Dutch + French + Norwegian + Swedish @ 4.294
7 Norwegian + Spanish_Galicia + Swedish + Swedish @ 4.395
8 Dutch + German + Norwegian + Norwegian @ 4.428
9 Spanish_Galicia + Swedish + Swedish + Swedish @ 4.431
10 French + Orcadian + Swedish + Swedish @ 4.441
11 Dutch + German + Norwegian + Swedish @ 4.459
12 Dutch + Dutch + Dutch + Swedish @ 4.461
13 Dutch + French + Norwegian + Norwegian @ 4.469
14 Norwegian + Norwegian + Spanish_Galicia + Swedish @ 4.475
15 French + North_Swedish + Norwegian + Norwegian @ 4.531
16 Dutch + Southwest_English + Swedish + Swedish @ 4.531
17 German + Norwegian + Southwest_English + Swedish @ 4.549
18 Dutch + Dutch + German + Swedish @ 4.550
19 French + North_Swedish + Norwegian + Swedish @ 4.553
20 Dutch + Dutch + Dutch + Norwegian @ 4.561
Oracle X
Pct. Calc. Option 1
1 Norwegian 57.87% 2 Swedish 31.97% 3 Sardinian 8.01% 4 Chechen 1.64% 5 Abhkasian 0.46% 6 Balkar 0.05% 7 Ukrainian 0.00% 8 Dutch 0.00% 9 Ukrainian_West 0.00% 10 Southwest_English 0.00%
Pct. Calc. Option 2
0 Unable to determine 0.10% 1 Norwegian 48.01% 2 Dutch 29.85% 3 Swedish 9.42% 4 Ukrainian_West 4.62% 5 Sardinian 3.03% 6 Orcadian 1.58% 7 Abhkasian 1.36% 8 Ukrainian 1.09% 9 Southwest_English 0.72% 10 North_Swedish 0.21%
It is only Admix, but I'm sure we would like to see the Oracle. It' the most accurate Oracle to date. :)
It benefits you New Worlders, to have a good Oracle. But it has to work with us over here first.
Looking forward to seeing this map. :)
Neanderthal (F999902)
81.44% -- Sub-Saharan
16.84% -- Northeast_African
01.68% -- Oceanian
Oracle
1 Biaka_Pygmy 2.88
2 Bantu_S.E. 6.75
3 Bantu_S.W. 9.28
4 Luhya 10.36
5 Bantu_N.E. 11.53
Denisovian (F999903)
83.61 -- Sub-Saharan
14.80 -- Northeast_African
01.59 -- Oceanian
Oracle
1 Bantu_S.E. 3.66
2 Biaka_Pygmy 5.38
3 Bantu_S.W. 5.98
4 Mandenka 11.94
5 Luhya 13.68