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SWAHILLI_PRINCE16
04-17-2016, 04:10 PM
I just wanted to know which GEDmatch calculator is best for East African Kenyans who are a little mixed like me.

Here are my 23andme results for a starter

8908
8909
8910

MitchellSince1893
04-17-2016, 05:04 PM
Have you tried puntDNAL K8? It's specifically designed for Africans.

SWAHILLI_PRINCE16
04-17-2016, 05:19 PM
I had tried it but i was unsure of wether it best suited me but thanks for the help.

puntDNAL K8 African only Oracle results:

puntDNAL K8b Oracle

Kit M707191

Admix Results (sorted):

# Population Percent
1 E_Benue_Congo 36.08
2 W_Benue_Congo 35.4
3 Nilo_Saharan 10.28
4 Western_Semitic 6.66
5 Ubangian_Congo 6.02
6 Omotic 3.35
7 Eastern_HG 1.23
8 Southern_HG 0.97

Single Population Sharing:

# Population (source) Distance
1 Kenyan_Bantu 6
2 Cameroon_Fang 15.73
3 DRC_Kongo 16.06
4 SA_Pedi 16.79
5 SA_Nguni 17.74
6 Cameroon_Bamoun 18.36
7 Chad_Kaba 21.02
8 Kenyan_Luhya 21.24
9 Cameroon_Mada 22.95
10 Nigeria_Hausa 24.48
11 DRC_Hema 24.6
12 SA_Bantu 25.57
13 Mali_Mandinka 26.33
14 SA_Sotho/Tswana 26.53
15 SA_Xhosa 28.17
16 Alur 28.94
17 Nigeria_Igbo 31.73
18 Chad_Bulala 35.9
19 Nigeria_Yoruba 36.17
20 Nigeria_Fulani 36.69

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 60.8% DRC_Kongo + 39.2% DRC_Hema @ 3.34
2 57.5% Cameroon_Bamoun + 42.5% DRC_Hema @ 3.63
3 88.5% Kenyan_Bantu + 11.5% Nigeria_Fulani @ 3.7
4 78.4% Cameroon_Fang + 21.6% Kenyan_Maasai @ 3.9
5 94.8% Kenyan_Bantu + 5.2% S_Moroccan @ 4.18
6 50.1% Nigeria_Hausa + 49.9% DRC_Hema @ 4.46
7 95.6% Kenyan_Bantu + 4.4% Mozabite @ 4.5
8 95.7% Kenyan_Bantu + 4.3% Libyan @ 4.53
9 95.9% Kenyan_Bantu + 4.1% Tunisian @ 4.54
10 96.1% Kenyan_Bantu + 3.9% Egyptian @ 4.54
11 95.9% Kenyan_Bantu + 4.1% N_Moroccan @ 4.56
12 95.8% Kenyan_Bantu + 4.2% Algerian @ 4.65
13 59.8% DRC_Hema + 40.2% Nigeria_Yoruba @ 4.88
14 83.5% Kenyan_Bantu + 16.5% DRC_Kongo @ 5.2
15 90.5% Kenyan_Bantu + 9.5% Mali_Mandinka @ 5.36
16 56.6% DRC_Hema + 43.4% Nigeria_Igbo @ 5.37
17 92.1% Kenyan_Bantu + 7.9% Nigeria_Igbo @ 5.37
18 96.2% Kenyan_Bantu + 3.8% Ethiopian_Tygray @ 5.4
19 93.6% Kenyan_Bantu + 6.4% Ghana_Brong @ 5.4
20 51.8% DRC_Hema + 48.2% Mali_Mandinka @ 5.43

Using 1 population approximation:
1 Kenyan_Bantu @ 6.472989
2 Cameroon_Fang @ 17.098667
3 SA_Pedi @ 17.384415
4 DRC_Kongo @ 17.795349
5 SA_Nguni @ 18.353830
6 Cameroon_Bamoun @ 20.154379
7 Chad_Kaba @ 23.634150
8 Kenyan_Luhya @ 23.856556
9 Cameroon_Mada @ 25.768869
10 SA_Bantu @ 25.959427
11 SA_Sotho/Tswana @ 27.029034
12 Nigeria_Hausa @ 27.385267
13 DRC_Hema @ 27.594307
14 SA_Xhosa @ 28.556702
15 Mali_Mandinka @ 29.821926
16 Alur @ 32.179714
17 Nigeria_Igbo @ 35.834301
18 Nigeria_Fulani @ 37.149788
19 Chad_Bulala @ 40.405811
20 Nigeria_Yoruba @ 40.761002

Using 2 populations approximation:
1 50% Nigeria_Hausa +50% DRC_Hema @ 4.680458


Using 3 populations approximation:
1 50% DRC_Hema +25% DRC_Kongo +25% Nigeria_Yoruba @ 3.917109


Using 4 populations approximation:
1 DRC_Hema + Kenyan_Bantu + DRC_Kongo + DRC_Kongo @ 3.811159
2 Ghana_Brong + Cameroon_Fang + DRC_Hema + DRC_Hema @ 3.843547
3 Cameroon_Fang + DRC_Hema + DRC_Hema + Nigeria_Yoruba @ 3.862241
4 Cameroon_Fang + DRC_Hema + DRC_Hema + Nigeria_Yoruba @ 3.862241
5 DRC_Hema + DRC_Hema + DRC_Kongo + Nigeria_Yoruba @ 3.917109
6 DRC_Hema + DRC_Hema + DRC_Kongo + Nigeria_Yoruba @ 3.917109
7 Cameroon_Bamoun + DRC_Hema + DRC_Hema + Nigeria_Igbo @ 3.941259
8 Cameroon_Fang + DRC_Hema + Chad_Kaba + Kenyan_Bantu @ 3.944960
9 DRC_Hema + DRC_Hema + Nigeria_Igbo + DRC_Kongo @ 4.024543
10 Mali_Bambaran + Cameroon_Fang + DRC_Hema + DRC_Hema @ 4.031263
11 Cameroon_Bamoun + DRC_Hema + DRC_Hema + Nigeria_Yoruba @ 4.056542
12 Cameroon_Bamoun + DRC_Hema + DRC_Hema + Nigeria_Yoruba @ 4.056542
13 Cameroon_Bamoun + DRC_Hema + DRC_Hema + Mali_Mandinka @ 4.085709
14 DRC_Hema + DRC_Kongo + Kenyan_Luhya + Mali_Mandinka @ 4.160725
15 Cameroon_Fang + DRC_Hema + DRC_Hema + Nigeria_Igbo @ 4.160858
16 Cameroon_Bamoun + DRC_Hema + Kenyan_Bantu + DRC_Kongo @ 4.187285
17 DRC_Hema + Nigeria_Igbo + Kenyan_Bantu + Kenyan_Bantu @ 4.249865
18 Cameroon_Fang + Cameroon_Fang + DRC_Hema + Cameroon_Mada @ 4.382709
19 Ghana_Brong + DRC_Hema + DRC_Hema + DRC_Kongo @ 4.416461
20 Cameroon_Bamoun + Ghana_Brong + DRC_Hema + DRC_Hema @ 4.456687

Done.

MitchellSince1893
04-17-2016, 05:46 PM
From a single population perspective it seems to work for you as Kenyan_Bantu is your closest match.

In case you haven't seen it, here is a list of other gedmatch admixture tools that have kenyan in them


MDLP K13 Ultimate BantuKenya
MDLP K13 Ultimate Luhya_Kenya_LWK
MDLP K23b BantuKenya
MDLP K23b Luhya_Kenya_LWK
HarappaWorld bantukenya

SWAHILLI_PRINCE16
04-17-2016, 05:59 PM
MDLP K13 'Ultimate' Oracle
Kit M707191
Admix Results (sorted):

# Population Percent
1 Subsaharian 84.68
2 Paleo-African 6.55
3 NearEast 5.46
4 ENF 1.69
5 ANE 1.29
6 Arctic 0.34

Single Population Sharing:

# Population (source) Distance
1 Sudanese 2.18
2 Anuak 2.19
3 Luhya 5.36
4 Dinka 5.77
5 Luo 6.38
6 Luhya_Kenya_LWK 6.53
7 Bulala 6.76
8 Alur 6.81
9 Lemba 7.42
10 BantuKenya 7.72
11 Bantu 8.58
12 African-Caribbean-Barbados 8.63
13 African-Caribbean 8.86
14 Bantu_SA_Herero 9.53
15 Fang 9.58
16 Kongo 11.2
17 Himba 11.3
18 Bantu_SA_Zulu 11.36
19 Mada 11.72
20 Nguni 12.23

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 72.1% Kaba + 27.9% Ari @ 1.14
2 71% Bamoun + 29% Ari @ 1.2
3 68.5% Igbo + 31.5% Ari @ 1.24
4 60.3% Lemba + 39.7% Kongo @ 1.28
5 62.5% Lemba + 37.5% Damara @ 1.31
6 88.1% Sudanese + 11.9% Afro-American @ 1.31
7 63.5% Lemba + 36.5% Wambo @ 1.32
8 93.2% Sudanese + 6.8% Fulani @ 1.32
9 88.1% Anuak + 11.9% Afro-American @ 1.33
10 64.1% Lemba + 35.9% Bantu_SA_Ovambo @ 1.34
11 60.6% Lemba + 39.4% Himba @ 1.38
12 89.8% Luhya + 10.2% Somali @ 1.39
13 72.2% Bantu_SA_Ovambo + 27.8% Ari @ 1.39
14 91.7% Luhya + 8.3% Afar @ 1.4
15 65.4% Lemba + 34.6% Bamoun @ 1.4
16 64.8% Bambaran + 35.2% Sandawe @ 1.4
17 89.9% Luhya + 10.1% Esomali @ 1.42
18 89.9% Luhya + 10.1% Wolyata @ 1.43
19 84.1% Luhya_Kenya_LWK + 15.9% Ari @ 1.44
20 67.7% Brong + 32.3% Ari @ 1.44


MDLP K13 Ultimate BantuKenya
MDLP K13 Ultimate Luhya_Kenya_LWK
MDLP K23b BantuKenya
MDLP K23b Luhya_Kenya_LWK
HarappaWorld bantukenya[/QUOTE]

Least-squares method.

Using 1 population approximation:
1 Sudanese @ 2.241361
2 Anuak @ 2.257310
3 Luhya @ 5.186532
4 Dinka @ 5.480293
5 Luo @ 6.160235
6 Luhya_Kenya_LWK @ 6.259900
7 Alur @ 6.366951
8 Bulala @ 6.408862
9 Lemba @ 7.238662
10 BantuKenya @ 7.377996
11 Bantu @ 8.283682
12 African-Caribbean-Barbados @ 8.442576
13 African-Caribbean @ 8.605520
14 Bantu_SA_Herero @ 9.306437
15 Fang @ 9.361126
16 Bantu_SA_Zulu @ 10.580165
17 Kongo @ 10.817057
18 Himba @ 10.918878
19 Mada @ 10.943432
20 Nguni @ 11.309454

Using 2 populations approximation:
1 50% Bantu +50% Lemba @ 1.638198


Using 3 populations approximation:
1 50% Kaba +25% Masai_Kinyawa_MKK +25% Nguni @ 1.449552


Using 4 populations approximation:
MDLP K23b Oracle results:

MDLP K23b Oracle Rev 2014 Sep 16

Kit M707191

Admix Results (sorted):

# Population Percent
1 Subsaharian 57.12
2 Archaic_African 21.78
3 East_African 13.7
4 North_African 2.62
5 Near_East 2.45
6 Khoisan 0.87
7 Melano_Polynesian 0.52
8 East_Siberian 0.44
9 Archaic_Human 0.35
10 South_Central_Asian 0.17

Single Population Sharing:

# Population (source) Distance
1 Lemba ( ) 2.06
2 BantuKenya ( ) 4.11
3 Luo ( ) 4.55
4 Luhya_Kenya_LWK ( ) 4.93
5 Mada ( ) 8.79
6 AA_Denver ( ) 15.48
7 Afroamerican ( ) 15.97
8 Kaba ( ) 16.28
9 Nguni ( ) 17.25
10 Alur ( ) 17.38
11 Bantu_SA_Zulu ( ) 18.38
12 Bantu_SA_Herero ( ) 18.69
13 Bantu_SA_Ovambo ( ) 18.7
14 Fang ( ) 18.77
15 African_Caribbean ( ) 18.92
16 Damara ( ) 19.21
17 Pedi ( ) 19.23
18 Himba ( ) 19.37
19 Wambo ( ) 20.63
20 Bulala ( ) 21.24

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 92.4% Lemba ( ) + 7.6% Fang ( ) @ 1.36
2 92.4% Lemba ( ) + 7.6% Bantu_SA_Ovambo ( ) @ 1.38
3 93.1% Lemba ( ) + 6.9% Wambo ( ) @ 1.39
4 93.6% Lemba ( ) + 6.4% Bamoun ( ) @ 1.42
5 92.8% Lemba ( ) + 7.2% Damara ( ) @ 1.43
6 92.9% Lemba ( ) + 7.1% Himba ( ) @ 1.43
7 73.3% Wambo ( ) + 26.7% Datog ( ) @ 1.46
8 92.8% Lemba ( ) + 7.2% Bantu_SA_Herero ( ) @ 1.46
9 76.4% Lemba ( ) + 23.6% Luhya_Kenya_LWK ( ) @ 1.46
10 93.9% Lemba ( ) + 6.1% Mende_Sierra_Leone_MSL ( ) @ 1.47
11 94.2% Lemba ( ) + 5.8% Brong ( ) @ 1.48
12 92% Lemba ( ) + 8% Kaba ( ) @ 1.5
13 94.4% Lemba ( ) + 5.6% Hausa ( ) @ 1.5
14 94.5% Lemba ( ) + 5.5% Igbo ( ) @ 1.51
15 94.9% Lemba ( ) + 5.1% Esan_Nigeria_ESN ( ) @ 1.54
16 94.9% Lemba ( ) + 5.1% Yoruba ( ) @ 1.55
17 94.9% Lemba ( ) + 5.1% Bambaran ( ) @ 1.57
18 94.6% Lemba ( ) + 5.4% Gambian_GWD ( ) @ 1.58
19 75.2% Bantu_SA_Ovambo ( ) + 24.8% Datog ( ) @ 1.59
20 95% Lemba ( ) + 5% Mandenka ( ) @ 1.6
Using 1 population approximation:
1 Lemba @ 2.106832
2 BantuKenya @ 4.373527
3 Luo @ 4.866717
4 Luhya_Kenya_LWK @ 5.322548
5 Mada @ 9.508422
6 AA_Denver @ 16.979511
7 Afroamerican @ 17.518787
8 Kaba @ 17.524721
9 Nguni @ 18.166273
10 Alur @ 18.844027
11 Bantu_SA_Zulu @ 19.286228
12 Bantu_SA_Herero @ 20.018288
13 Pedi @ 20.026701
14 Bantu_SA_Ovambo @ 20.075127
15 Fang @ 20.153358
16 African_Caribbean @ 20.325352
17 Damara @ 20.592058
18 Himba @ 20.770550
19 Wambo @ 22.156723
20 Bantu_SA_S_Sotho @ 22.669447

Using 2 populations approximation:
1 50% Kikuyu +50% Wambo @ 2.105977


Using 3 populations approximation:
1 50% Lemba +25% Lemba +25% Luhya_Kenya_LWK @ 1.430511

SWAHILLI_PRINCE16
04-17-2016, 07:10 PM
Harappa world probably assigned the unassigned on my 23andme conservative estimate

Here are my Harappa world results
# Population Percent
1 W-African 59.81
2 E-African 25.56
3 Pygmy 6.97
4 SW-Asian 4.45
5 San 2.12
6 S-Indian 0.82
7 Mediterranean 0.23
8 Papuan 0.04

Single Population Sharing:

# Population (source) Distance
1 bantukenya (hgdp) 5.24
2 luhya (hapmap) 6.42
3 luhya (1000genomes) 6.49
4 mada (henn2012) 12.16
5 kaba (henn2012) 24.4
6 fulani (henn2012) 24.72
7 alur (xing) 24.89
8 siddi (reich) 26.6
9 nguni (xing) 27.17
10 hema (xing) 27.64
11 pedi (xing) 28.43
12 african-american (1000genomes) 29.14
13 bantusouthafrica (hgdp) 29.22
14 fang (henn2012) 30.44
15 kongo (henn2012) 33.19
16 xhosa (henn2012) 33.68
17 bulala (henn2012) 33.9
18 sotho-tswana (xing) 36.18
19 bamoun (henn2012) 36.39
20 african-caribbean (1000genomes) 36.74

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 54.6% hema (xing) + 45.4% kongo (henn2012) @ 1.04
2 56.8% hema (xing) + 43.2% bamoun (henn2012) @ 1.19
3 72.6% fang (henn2012) + 27.4% ariblacksmith (pagani) @ 1.36
4 69.5% fang (henn2012) + 30.5% maasai (1000genomes) @ 1.51
5 70.4% kongo (henn2012) + 29.6% aricultivator (pagani) @ 1.53
6 67.6% kongo (henn2012) + 32.4% maasai (1000genomes) @ 1.7
7 72.2% fang (henn2012) + 27.8% aricultivator (pagani) @ 1.75
8 70.8% kongo (henn2012) + 29.2% ariblacksmith (pagani) @ 1.76
9 52.4% hema (xing) + 47.6% fang (henn2012) @ 2.23
10 65.6% bamoun (henn2012) + 34.4% maasai (1000genomes) @ 2.75
11 94.6% bantukenya (hgdp) + 5.4% qatari (henn2012) @ 2.75
12 94.8% bantukenya (hgdp) + 5.2% bedouin (hgdp) @ 2.86
13 95.1% bantukenya (hgdp) + 4.9% saudi (behar) @ 2.88
14 53.2% kaba (henn2012) + 46.8% hema (xing) @ 2.96
15 61.6% hema (xing) + 38.4% igbo (henn2012) @ 2.99
16 95.3% bantukenya (hgdp) + 4.7% yemen-jew (behar) @ 3.2
17 67.9% kaba (henn2012) + 32.1% sandawe (henn2011) @ 3.25
18 94.4% bantukenya (hgdp) + 5.6% libya (henn2012) @ 3.27
19 68.5% bamoun (henn2012) + 31.5% aricultivator (pagani) @ 3.27
20 94.3% bantukenya (hgdp) + 5.7% yemenese (behar) @ 3.31
Least-squares method.

Using 1 population approximation:
1 bantukenya @ 5.327815
2 luhya @ 6.557997
3 luhya @ 6.668398
4 mada @ 11.862028
5 alur @ 24.153086
6 kaba @ 24.200359
7 nguni @ 25.464216
8 fulani @ 25.563835
9 pedi @ 27.015831
10 hema @ 27.621140
11 siddi @ 27.993675
12 bantusouthafrica @ 27.994102
13 african-american @ 29.859861
14 xhosa @ 30.018002
15 fang @ 30.524197
16 sotho-tswana @ 32.973595
17 kongo @ 33.200485
18 bulala @ 34.350426
19 bamoun @ 36.382263
20 african-caribbean @ 36.875900

Using 2 populations approximation:
1 50% fang +50% hema @ 2.572783


Using 3 populations approximation: