Line | Allele | Population | % of individuals that have the allele |
Allele Frequency |
Sample Size |
Location |
---|---|---|---|---|---|---|
1 | C*07:02 | Cameroon Baka Pygmy | 0.1500 | 10 | 8_30_N_14_0_E | |
2 | C*07:02 | Cameroon Bamileke | 0.0710 | 77 | 5_28_N_10_25_E | |
3 | C*07:02 | Cameroon Beti | 0.0660 | 174 | 2_55_N_11_9_E | |
4 | C*07:02 | Cameroon Sawa | 0.1150 | 13 | 4_50_N_10_0_E | |
5 | C*07:02 | Ghana Ga-Adangbe | 8.4 | 0.0420 | 131 | 5_45_N_0_12_E |
6 | C*07:02 | Kenya | 0.0440 | 144 | 1_28_S_36_8_E | |
7 | C*07:02 | Kenya Luo | 0.0380 | 265 | 0_0_S_34_6_E | |
8 | C*07:02 | Kenya Nandi | 0.0080 | 240 | 0_0_S_35_0_E | |
9 | C*07:02 | Kenya, Nyanza Province, Luo tribe | 6.0 | 0.0300 | 100 | 0_5_S_34_46_E |
10 | C*07:02 | Senegal Niokholo Mandenka | 0.0210 | 165 | 12_35_N_12_9_W | |
11 | C*07:02 | South Africa Natal Tamil | 0.0940 | 51 | 30_0_S_31_0_E | |
12 | C*07:02 | South Africa Worcester | 14.0 | 0.0690 | 159 | 33_39_S_19_27_E |
13 | C*07:02 | Tanzania Maasai | 6.6 | 0.0328 | 336 | 3_11_S_37_4_E |
14 | C*07:02 | Uganda Kampala | 0.0610 | 161 | 0_3_N_32_6_E | |
15 | C*07:02 | Uganda Kampala pop 2 | 0.0370 | 175 | 0_20_N_32_30_E | |
16 | C*07:02 | Zambia Lusaka | 0.0440 | 44 | 15_25_S_28_17_E | |
17 | C*07:02 | Zimbabwe Harare Shona | 0.0460 | 230 | 17_51_S_31_1_E | |
18 | C*07:02:01 | South Africa Caucasians | 0.1370 | 102 | 30_0_S_25_0_E | |
19 | C*07:02:01 | South African Black | 11.3 | 0.0599 | 142 | 29_9_S_24_39_E |
20 | C*07:02:01 | South African Indian population | 12.0 | 0.0600 | 50 | 29_22_S_24_31_E |
21 | C*07:02:01 | South African Mixed ancestry | 16.0 | 0.0900 | 50 | 29_22_S_24_31_E |