Altai Neanderthal Gedmatch results

[Sora]

Even though this neanderthal is from Altai, s/he still scores high SSA admixture

Kit number: F999902

Dodecad k12b

Admix Results (sorted):

# Population Percent
1 Sub_Saharan 74.85
2 East_African 18.33
3 North_European 2.8
4 Atlantic_Med 2.06
5 East_Asian 0.78
6 Southeast_Asian 0.77
7 Siberian 0.41

Single Population Sharing:

# Population (source) Distance
1 Bantu_N.E. (HGDP) 6.56
2 LWK30 (Behar) 7.4
3 Bantu_S.E._Tswana (HGDP) 17.1
4 ASW30 (HapMap3) 21.66
5 Bantu_S.W._Herero (HGDP) 22.82
6 Mandenka (HGDP) 34.22
7 Yoruba (HGDP) 36.85
8 YRI30 (HGDP) 36.85
9 MKK30 (Dodecad) 76.11
10 Sandawe_He (Henn) 77.72
11 Yemenese (Behar) 92.18
12 Algerian (Dodecad) 93.2
13 Moroccans (Behar) 95.01
14 Egyptans (Behar) 95.32
15 Moroccan (Dodecad) 99.49
16 Jordanians (Behar) 100.84
17 Uzbeks (Behar) 101.34
18 Palestinian (HGDP) 101.45
19 Turkmens (Yunusbayev) 101.68
20 Syrians (Behar) 101.79

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 77.2% LWK30 (Behar) + 22.8% ASW30 (HapMap3) @ 3.89
2 95.5% Bantu_N.E. (HGDP) + 4.5% Norwegian (Dodecad) @ 3.95
3 95.5% Bantu_N.E. (HGDP) + 4.5% Swedish (Dodecad) @ 3.96
4 95.4% Bantu_N.E. (HGDP) + 4.6% British_Isles (Dodecad) @ 3.98
5 95.4% Bantu_N.E. (HGDP) + 4.6% Orkney (1000Genomes) @ 3.99
6 95.4% Bantu_N.E. (HGDP) + 4.6% Orcadian (HGDP) @ 4
7 95.4% Bantu_N.E. (HGDP) + 4.6% Dutch (Dodecad) @ 4
8 95.4% Bantu_N.E. (HGDP) + 4.6% Irish (Dodecad) @ 4
9 95.4% Bantu_N.E. (HGDP) + 4.6% CEU30 (1000Genomes) @ 4
10 95.4% Bantu_N.E. (HGDP) + 4.6% English (Dodecad) @ 4
11 95.4% Bantu_N.E. (HGDP) + 4.6% Kent (1000Genomes) @ 4
12 95.4% Bantu_N.E. (HGDP) + 4.6% British (Dodecad) @ 4.01
13 95.4% Bantu_N.E. (HGDP) + 4.6% Argyll (1000Genomes) @ 4.01
14 95.4% Bantu_N.E. (HGDP) + 4.6% German (Dodecad) @ 4.01
15 95.4% Bantu_N.E. (HGDP) + 4.6% Cornwall (1000Genomes) @ 4.01
16 95.4% Bantu_N.E. (HGDP) + 4.6% Mixed_Germanic (Dodecad) @ 4.02
17 95.6% Bantu_N.E. (HGDP) + 4.4% Polish (Dodecad) @ 4.07
18 95.4% Bantu_N.E. (HGDP) + 4.6% French (HGDP) @ 4.07
19 95.4% Bantu_N.E. (HGDP) + 4.6% Hungarians (Behar) @ 4.07
20 95.6% Bantu_N.E. (HGDP) + 4.4% Mixed_Slav (Dodecad) @ 4.12

Eurogenes K13

Admix Results (sorted):

# Population Percent
1 Sub-Saharan 79.81
2 Northeast_African 17.87
3 Oceanian 2.27
4 Baltic 0.06

Single Population Sharing:

# Population (source) Distance
1 Biaka_Pygmy 4.45
2 Bantu_S.E. 6.43
3 Bantu_S.W. 8.87
4 Luhya 11.5
5 Bantu_N.E. 12.81
6 Mandenka 15.79
7 Mbuti_Pygmy 22.44
8 Yoruban 23.99
9 San 33.89
10 Sandawe 59.78
11 Sudanese 60.76
12 Ethiopian_Anuak 66.84
13 Maasai 68.71
14 Hadza 72.84
15 Ethiopian_Gumuz 85
16 Mozabite_Berber 85.89
17 Algerian 87.68
18 Tunisian 87.68
19 Moroccan 89.46
20 Egyptian 93.73

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 79.9% Bantu_S.W. + 20.1% San @ 2.5
2 89.5% Bantu_S.W. + 10.5% Hadza @ 2.51
3 58.6% Yoruban + 41.4% San @ 2.57
4 90.9% Bantu_S.W. + 9.1% Ethiopian_Gumuz @ 2.59
5 56.9% Bantu_S.W. + 43.1% Luhya @ 2.6
6 92.3% Bantu_S.W. + 7.7% Ethiopian_Ari_cultivator @ 2.64
7 81.4% Biaka_Pygmy + 18.6% Mandenka @ 2.68
8 88.8% Bantu_S.W. + 11.2% Ethiopian_Anuak @ 2.69
9 59.7% Bantu_S.W. + 40.3% Bantu_N.E. @ 2.69
10 85.3% Bantu_S.E. + 14.7% San @ 2.69
11 87.8% Bantu_S.W. + 12.2% Sudanese @ 2.7
12 92.6% Bantu_S.E. + 7.4% Hadza @ 2.71
13 65.7% Bantu_S.E. + 34.3% Luhya @ 2.72
14 94.6% Bantu_S.E. + 5.4% Ethiopian_Ari_cultivator @ 2.73
15 68.1% Luhya + 31.9% Yoruban @ 2.73
16 91.1% Bantu_S.E. + 8.9% Sandawe @ 2.75
17 72.5% Bantu_S.W. + 27.5% Mbuti_Pygmy @ 2.75
18 87.6% Bantu_S.W. + 12.4% Sandawe @ 2.76
19 70.7% Biaka_Pygmy + 29.3% Bantu_S.W. @ 2.76
20 93.6% Bantu_S.E. + 6.4% Ethiopian_Gumuz @ 2.77

MDLP K23b

Admix Results (sorted):

# Population Percent
1 Archaic_Human 64.47
2 Archaic_African 34.51
3 Khoisan 0.58
4 Ancestral_Altaic 0.27
5 European_Early_Farmers 0.08
6 Australoid 0.05
7 Caucasian 0.02
8 Melano_Polynesian 0.01

Single Population Sharing:

# Population (source) Distance
1 BiakaPygmy ( ) 70.7
2 Saami ( ) 71.13
3 Saami_Finland ( ) 71.98
4 Bashkir ( ) 73.58
5 Saami_Kola ( ) 73.59
6 Karelian ( ) 73.63
7 Finn ( ) 73.81
8 MbutiPygmy ( ) 73.95
9 Sandawe ( ) 74
10 Tatar-Siberian ( ) 74.02
11 Uygur-Han ( ) 74.07
12 Ayta_AE ( ) 74.32
13 Mari ( ) 74.56
14 Finn_East ( ) 74.65
15 Finnish-East ( ) 74.76
16 Pygmy ( ) 74.77
17 Kazahs ( ) 74.78
18 Vepsa ( ) 74.84
19 Finnish_FIN ( ) 74.87
20 Hema ( ) 75.11

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 54% Saami ( ) + 46% Pygmy ( ) @ 60.55
2 53.2% Saami ( ) + 46.8% MbutiPygmy ( ) @ 60.58
3 53% Saami_Finland ( ) + 47% Pygmy ( ) @ 60.83
4 52.2% Saami_Finland ( ) + 47.8% MbutiPygmy ( ) @ 60.85
5 51.3% Bashkir ( ) + 48.7% Pygmy ( ) @ 61.33
6 50.4% Bashkir ( ) + 49.6% MbutiPygmy ( ) @ 61.34
7 51.3% Saami_Kola ( ) + 48.7% Pygmy ( ) @ 61.35
8 50.4% Saami_Kola ( ) + 49.6% MbutiPygmy ( ) @ 61.35
9 51.2% Karelian ( ) + 48.8% Pygmy ( ) @ 61.37
10 50.3% Karelian ( ) + 49.7% MbutiPygmy ( ) @ 61.38
11 51% Finn ( ) + 49% Pygmy ( ) @ 61.43
12 50.1% Finn ( ) + 49.9% MbutiPygmy ( ) @ 61.43
13 50.1% MbutiPygmy ( ) + 49.9% Tatar-Siberian ( ) @ 61.44
14 50.8% Tatar-Siberian ( ) + 49.2% Pygmy ( ) @ 61.44
15 50.1% MbutiPygmy ( ) + 49.9% Uygur-Han ( ) @ 61.49
16 50.7% Uygur-Han ( ) + 49.3% Pygmy ( ) @ 61.5
17 50.7% MbutiPygmy ( ) + 49.3% Mari ( ) @ 61.65
18 50.2% Mari ( ) + 49.8% Pygmy ( ) @ 61.66
19 50.8% MbutiPygmy ( ) + 49.2% Finn_East ( ) @ 61.67
20 50.1% Finn_East ( ) + 49.9% Pygmy ( ) @ 61.68

[Universe]

This doesn't mean neandearthals were 75% ssa. Gedmatch is designed for modern human populations.

[Bellbeaking]

I would like to see a gorrila in Gedmatch, maybe even a fly or an apple

[Leto]

I would like to see a gorrila in Gedmatch, maybe even a fly or an apple

There were some monkeys on GM. It makes no sense.

[Bellbeaking]

There were some monkeys on GM. It makes no sense.

>Macaque (Monkey)

>kit number: NX1666301

Eurogenes K15

# Population Percent
1 Sub-Saharan 68.07
2 Northeast_African 22.94
3 Oceanian 3.38
4 North_Sea 2.44
5 Siberian 1.5
6 Southeast_Asian 1.36
7 Amerindian 0.3

Single Population Sharing:

# Population (source) Distance
1 Mbuti_Pygmy 9.17
2 Bantu_N.E. 9.25
3 Luhya 10.43
4 Biaka_Pygmy 17.31
5 San 20.59
6 Bantu_S.E. 24.23
7 Bantu_S.W. 26.7
8 Mandenka 32.21
9 Sudanese 34.97
10 Yoruban 39.97
11 Ethiopian_Anuak 42.12
12 Sandawe 48.08
13 Maasai 54.39
14 Hadza 58.32
15 Ethiopian_Gumuz 64.54
16 Mozabite_Berber 76.71
17 Algerian 78.03
18 Tunisian 78.29
19 Moroccan 80.01
20 Ethiopian_Oromo 84.04

[Dorian]

CHIMPANZEE

Kit UB9879533

Admix Results (sorted):

# Population Percent

1 Ancestor 84.7

2 Subsaharian 12.51

3 NorthEastEuropean 1.5

4 Neolithic 0.51

5 Arctic 0.25

6 SouthEastAsian 0.18

7 NearEast 0.17

8 Caucasian 0.14

9 Oceanic 0.06

Single Population Sharing:

# Population (source) Distance

1 Ju_hoan_North ((Botswana)) 6.14

2 Khomani (SouthAfrica) 23.6

3 Mbuti (Pygmy) 23.93

4 Biaka (Pygmy) 61.59

5 Congo (Pygmy) 70.57

6 Hadza (Tanzania) 90.66

7 Bantu (SA_Tswana) 93.79

8 Bantu (SA_Pedi) 97.39

9 Bantu (SA_S_Sotho) 98.04

10 Bantu (SA_Zulu) 105.7

11 Yemeni (Yemen) 106

12 Maasai (Ayodo) 106

13 Ethiopian (Ethiopia) 107.57

14 Moroccan (Morocco) 109.03

15 Lipka_Tatar (Belorus) 109.52

16 Turkmen (Afghanistan) 109.56

17 Bashkir (Bashkortostan) 109.57

18 Bashkir (Kildigulovo) 109.68

19 Hazara (Afghanistan) 109.88

20 Turkmen (Xojayli) 109.98

[Dorian]

Marmoset (Monkey)

kit numer JH4662226

Admix Results (sorted):

# Population Percent

1 Palaeo_African 58.12

2 Neo_African 20.05

3 West_European 6.16

4 Southeast_Asian 5.22

5 East_European 3.64

6 Mediterranean 3.12

7 South_Asian 1.79

8 East_African 1.28

9 Northeast_Asian 0.62

Single Population Sharing:

# Population (source) Distance

1 !Kung (Xing) 16.41

2 SAN_SA (Henn) 17.44

3 BiakaPygmy (Henn) 21.98

4 Biaka_Pygmies (HGDP) 22.22

5 Sotho_Tswana (Xing) 36.83

6 Alur (Xing) 41.61

7 HADZA (Henn) 42.11

8 Pedi (Xing) 43.28

9 Xhosa (Henn) 43.69

10 SAN_NB (Henn) 43.81

11 Pygmy (Xing) 44.1

12 Nguni (Xing) 45.12

13 SANDAWE (Henn) 48.82

14 Fang (Henn) 50.39

15 San (HGDP) 50.42

16 Siddi (Reich) 50.5

17 Luhya (Xing) 51.09

18 Hema (Xing) 51.53

19 Kongo (Henn) 52.44

20 LWK (HapMap) 52.77

..........

Orangutan DNA

Kit TK9050326

Admix Results (sorted):

# Population Percent

1 San 45.62

2 Pygmy 29.37

3 W-African 15.37

4 NE-Euro 3.72

5 Papuan 1.81

6 Mediterranean 1.69

7 SE-Asian 1.09

8 NE-Asian 0.82

9 Baloch 0.26

10 Beringian 0.18

11 American 0.07

Single Population Sharing:

# Population (source) Distance

1 !kung (xing) 45.72

2 san (henn2011) 52.69

3 xhosa (henn2012) 60.46

4 biakapygmy (hgdp) 61.16

5 sotho-tswana (xing) 62.11

6 sandawe (henn2011) 68.04

7 dominican (bryc) 70.75

8 siddi (reich) 71

9 san-nb (henn2011) 71.41

10 nguni (xing) 71.62

11 puerto-rican (bryc) 71.82

12 alur (xing) 71.99

13 pedi (xing) 72.87

14 hadza (henn2011) 72.9

15 bantusouthafrica (hgdp) 72.91

16 hema (xing) 74.11

17 uzbek (behar) 74.49

18 puerto-rican (1000genomes) 74.65

19 san (hgdp) 74.91

20 romanian-b (behar) 75.53

..........

GORILLA DNA

Kit LR4583033

Admix Results (sorted):

# Population Percent

1 South_Africa 71.6

2 West_Africa 24.96

3 Oceania 1.22

4 Siberia 1.13

5 SW_Europe 0.56

6 NE_Europe 0.43

7 South_Asia 0.1

Single Population Sharing:

# Population (source) Distance

1 Mbuti_Pygmy 18.69

2 Ju_Hoan 20.73

3 San 42.14

4 Biaka_Pygmy 42.66

5 Bantu_SE 70.72

6 Hadza 71.53

7 Sandawe 78.01

8 Kikuyu 86.59

9 Hema 88.3

10 Dominican 88.54

11 Fulani 89.87

12 Bantu_SW 89.91

13 Luo 90.45

14 Kaba 91.36

15 Bantu_NE 91.91

16 Wolayta 93.56

17 Algerian 94.26

18 Puerto_Rican 94.34

19 Tunisian 94.39

20 Moroccan 94.86

[loschbour_man]

Even though this neanderthal is from Altai, s/he still scores high SSA admixture

Kit number: F999902

Dodecad k12b

Admix Results (sorted):

# Population Percent
1 Sub_Saharan 74.85
2 East_African 18.33
3 North_European 2.8
4 Atlantic_Med 2.06
5 East_Asian 0.78
6 Southeast_Asian 0.77
7 Siberian 0.41

North_European, Atlantic_Med,East_Asian,Southeast_Asian,Siberian - this is the DNA he left to modern humans. those are regions of the world with high neanderthal admixture

sub saharan, east african - that's the DNA that died out with them. and for some reason, it gets assigned to ssa's, more specifically to pygmies, for reasons i still haven't understood.

check the neanderthals i tested here. they score the same.
https://www.theapricity.com/forum/sh...ough-tolan-k71

[Matxe92]

Don't think they have fully been able to sequence an entire neanderthal genome yet, so i doubt that kit tbh.

[Zoro]

Even though this neanderthal is from Altai, s/he still scores high SSA admixture

Kit number: F999902

Dodecad k12b

Admix Results (sorted):

# Population Percent
1 Sub_Saharan 74.85
2 East_African 18.33
3 North_European 2.8
4 Atlantic_Med 2.06
5 East_Asian 0.78
6 Southeast_Asian 0.77
7 Siberian 0.41

Single Population Sharing:

# Population (source) Distance
1 Bantu_N.E. (HGDP) 6.56
2 LWK30 (Behar) 7.4
3 Bantu_S.E._Tswana (HGDP) 17.1
4 ASW30 (HapMap3) 21.66
5 Bantu_S.W._Herero (HGDP) 22.82
6 Mandenka (HGDP) 34.22
7 Yoruba (HGDP) 36.85
8 YRI30 (HGDP) 36.85
9 MKK30 (Dodecad) 76.11
10 Sandawe_He (Henn) 77.72
11 Yemenese (Behar) 92.18
12 Algerian (Dodecad) 93.2
13 Moroccans (Behar) 95.01
14 Egyptans (Behar) 95.32
15 Moroccan (Dodecad) 99.49
16 Jordanians (Behar) 100.84
17 Uzbeks (Behar) 101.34
18 Palestinian (HGDP) 101.45
19 Turkmens (Yunusbayev) 101.68
20 Syrians (Behar) 101.79

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 77.2% LWK30 (Behar) + 22.8% ASW30 (HapMap3) @ 3.89
2 95.5% Bantu_N.E. (HGDP) + 4.5% Norwegian (Dodecad) @ 3.95
3 95.5% Bantu_N.E. (HGDP) + 4.5% Swedish (Dodecad) @ 3.96
4 95.4% Bantu_N.E. (HGDP) + 4.6% British_Isles (Dodecad) @ 3.98
5 95.4% Bantu_N.E. (HGDP) + 4.6% Orkney (1000Genomes) @ 3.99
6 95.4% Bantu_N.E. (HGDP) + 4.6% Orcadian (HGDP) @ 4
7 95.4% Bantu_N.E. (HGDP) + 4.6% Dutch (Dodecad) @ 4
8 95.4% Bantu_N.E. (HGDP) + 4.6% Irish (Dodecad) @ 4
9 95.4% Bantu_N.E. (HGDP) + 4.6% CEU30 (1000Genomes) @ 4
10 95.4% Bantu_N.E. (HGDP) + 4.6% English (Dodecad) @ 4
11 95.4% Bantu_N.E. (HGDP) + 4.6% Kent (1000Genomes) @ 4
12 95.4% Bantu_N.E. (HGDP) + 4.6% British (Dodecad) @ 4.01
13 95.4% Bantu_N.E. (HGDP) + 4.6% Argyll (1000Genomes) @ 4.01
14 95.4% Bantu_N.E. (HGDP) + 4.6% German (Dodecad) @ 4.01
15 95.4% Bantu_N.E. (HGDP) + 4.6% Cornwall (1000Genomes) @ 4.01
16 95.4% Bantu_N.E. (HGDP) + 4.6% Mixed_Germanic (Dodecad) @ 4.02
17 95.6% Bantu_N.E. (HGDP) + 4.4% Polish (Dodecad) @ 4.07
18 95.4% Bantu_N.E. (HGDP) + 4.6% French (HGDP) @ 4.07
19 95.4% Bantu_N.E. (HGDP) + 4.6% Hungarians (Behar) @ 4.07
20 95.6% Bantu_N.E. (HGDP) + 4.4% Mixed_Slav (Dodecad) @ 4.12

Eurogenes K13

Admix Results (sorted):

# Population Percent
1 Sub-Saharan 79.81
2 Northeast_African 17.87
3 Oceanian 2.27
4 Baltic 0.06

Single Population Sharing:

# Population (source) Distance
1 Biaka_Pygmy 4.45
2 Bantu_S.E. 6.43
3 Bantu_S.W. 8.87
4 Luhya 11.5
5 Bantu_N.E. 12.81
6 Mandenka 15.79
7 Mbuti_Pygmy 22.44
8 Yoruban 23.99
9 San 33.89
10 Sandawe 59.78
11 Sudanese 60.76
12 Ethiopian_Anuak 66.84
13 Maasai 68.71
14 Hadza 72.84
15 Ethiopian_Gumuz 85
16 Mozabite_Berber 85.89
17 Algerian 87.68
18 Tunisian 87.68
19 Moroccan 89.46
20 Egyptian 93.73

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 79.9% Bantu_S.W. + 20.1% San @ 2.5
2 89.5% Bantu_S.W. + 10.5% Hadza @ 2.51
3 58.6% Yoruban + 41.4% San @ 2.57
4 90.9% Bantu_S.W. + 9.1% Ethiopian_Gumuz @ 2.59
5 56.9% Bantu_S.W. + 43.1% Luhya @ 2.6
6 92.3% Bantu_S.W. + 7.7% Ethiopian_Ari_cultivator @ 2.64
7 81.4% Biaka_Pygmy + 18.6% Mandenka @ 2.68
8 88.8% Bantu_S.W. + 11.2% Ethiopian_Anuak @ 2.69
9 59.7% Bantu_S.W. + 40.3% Bantu_N.E. @ 2.69
10 85.3% Bantu_S.E. + 14.7% San @ 2.69
11 87.8% Bantu_S.W. + 12.2% Sudanese @ 2.7
12 92.6% Bantu_S.E. + 7.4% Hadza @ 2.71
13 65.7% Bantu_S.E. + 34.3% Luhya @ 2.72
14 94.6% Bantu_S.E. + 5.4% Ethiopian_Ari_cultivator @ 2.73
15 68.1% Luhya + 31.9% Yoruban @ 2.73
16 91.1% Bantu_S.E. + 8.9% Sandawe @ 2.75
17 72.5% Bantu_S.W. + 27.5% Mbuti_Pygmy @ 2.75
18 87.6% Bantu_S.W. + 12.4% Sandawe @ 2.76
19 70.7% Biaka_Pygmy + 29.3% Bantu_S.W. @ 2.76
20 93.6% Bantu_S.E. + 6.4% Ethiopian_Gumuz @ 2.77

MDLP K23b

Admix Results (sorted):

# Population Percent
1 Archaic_Human 64.47
2 Archaic_African 34.51
3 Khoisan 0.58
4 Ancestral_Altaic 0.27
5 European_Early_Farmers 0.08
6 Australoid 0.05
7 Caucasian 0.02
8 Melano_Polynesian 0.01

Single Population Sharing:

# Population (source) Distance
1 BiakaPygmy ( ) 70.7
2 Saami ( ) 71.13
3 Saami_Finland ( ) 71.98
4 Bashkir ( ) 73.58
5 Saami_Kola ( ) 73.59
6 Karelian ( ) 73.63
7 Finn ( ) 73.81
8 MbutiPygmy ( ) 73.95
9 Sandawe ( ) 74
10 Tatar-Siberian ( ) 74.02
11 Uygur-Han ( ) 74.07
12 Ayta_AE ( ) 74.32
13 Mari ( ) 74.56
14 Finn_East ( ) 74.65
15 Finnish-East ( ) 74.76
16 Pygmy ( ) 74.77
17 Kazahs ( ) 74.78
18 Vepsa ( ) 74.84
19 Finnish_FIN ( ) 74.87
20 Hema ( ) 75.11

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 54% Saami ( ) + 46% Pygmy ( ) @ 60.55
2 53.2% Saami ( ) + 46.8% MbutiPygmy ( ) @ 60.58
3 53% Saami_Finland ( ) + 47% Pygmy ( ) @ 60.83
4 52.2% Saami_Finland ( ) + 47.8% MbutiPygmy ( ) @ 60.85
5 51.3% Bashkir ( ) + 48.7% Pygmy ( ) @ 61.33
6 50.4% Bashkir ( ) + 49.6% MbutiPygmy ( ) @ 61.34
7 51.3% Saami_Kola ( ) + 48.7% Pygmy ( ) @ 61.35
8 50.4% Saami_Kola ( ) + 49.6% MbutiPygmy ( ) @ 61.35
9 51.2% Karelian ( ) + 48.8% Pygmy ( ) @ 61.37
10 50.3% Karelian ( ) + 49.7% MbutiPygmy ( ) @ 61.38
11 51% Finn ( ) + 49% Pygmy ( ) @ 61.43
12 50.1% Finn ( ) + 49.9% MbutiPygmy ( ) @ 61.43
13 50.1% MbutiPygmy ( ) + 49.9% Tatar-Siberian ( ) @ 61.44
14 50.8% Tatar-Siberian ( ) + 49.2% Pygmy ( ) @ 61.44
15 50.1% MbutiPygmy ( ) + 49.9% Uygur-Han ( ) @ 61.49
16 50.7% Uygur-Han ( ) + 49.3% Pygmy ( ) @ 61.5
17 50.7% MbutiPygmy ( ) + 49.3% Mari ( ) @ 61.65
18 50.2% Mari ( ) + 49.8% Pygmy ( ) @ 61.66
19 50.8% MbutiPygmy ( ) + 49.2% Finn_East ( ) @ 61.67
20 50.1% Finn_East ( ) + 49.9% Pygmy ( ) @ 61.68

There’s a recent article about this problem with Gedmatch calculators that’s why Dilawer at Eurasiandna.com created new software called SAPDA which doesn’t have this type of problem https://eurasiandna.com/sapda-admixt...tes-revisions/