Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | B*15:10-C*03:04 | | Uganda Kampala pop 2 | 4.9000 | | 175 |
|
2 | A*68:02-B*15:10 | | South Africa Natal Zulu | 4.0000 | | 100 |
|
3 | B*15:10-C*03:04 | | Kenya Luo | 3.6000 | | 265 |
|
4 | B*15:10-C*03:04 | | Zambia Lusaka | 3.5000 | | 44 |
|
5 | A*68-B*15:10-DRB1*03:01-DQB1*02 | | Mexico Jalisco, Tlaquepaque | 2.5641 | | 39 |
|
6 | A*68:02:01-B*15:10:01-C*15:02:01-DRB1*08:04:01-DQB1*03:19:01-DPA1*01:03:01-DPB1*416:01:01 | | Brazil Barra Mansa Rio State Black | 2.3810 | | 73 |
|
7 | B*15:10-C*03:04 | | USA African American pop 4 | 2.3680 | | 2,411 |
|
8 | A*02:01-B*15:10 | | Zambia Lusaka | 2.3000 | | 44 |
|
9 | A*02:01-B*15:10-C*03:04 | | Zambia Lusaka | 2.3000 | | 44 |
|
10 | B*15:10-C*03:04 | | Uganda Kampala | 2.2000 | | 161 |
|
11 | A*68-B*15:10-DRB1*03:01-DQB1*02 | | Mexico Baja California, Tijuana | 2.0000 | | 25 |
|
12 | A*68:02-B*15:10-C*03:04-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01 | | South Africa Worcester | 1.9000 | | 159 |
|
13 | A*68-B*15:10-DRB1*10-DQB1*05 | | Mexico Veracruz, Coatzacoalcos | 1.7857 | | 55 |
|
14 | A*33:03-B*15:10-DRB1*10:01 | | Guinea Bissau | 1.5000 | | 65 |
|
15 | A*68:02-B*15:10 | | Kenya Nandi | 1.5000 | | 240 |
|
16 | A*68:02-B*15:10-C*03:04 | | Kenya Nandi | 1.5000 | | 240 |
|
17 | B*15:10-C*03:04 | | Kenya Nandi | 1.5000 | | 240 |
|
18 | A*03:01:01-B*15:10:01-C*17:03:01-DRB1*13:03:01-DQB1*03:19:01-DPA1*02:01:01-DPB1*10:01:01 | | Brazil Rio de Janeiro Black | 1.4706 | | 68 |
|
19 | B*15:10-C*03:04 | | USA African American | 1.4000 | | 252 |
|
20 | A*68:02-B*15:10 | | Kenya Luo | 1.3000 | | 265 |
|
21 | A*68:02-B*15:10-C*03:04 | | Kenya Luo | 1.3000 | | 265 |
|
22 | A*30:02-B*15:10-DRB1*03:01 | | Gaza | 1.2820 | | 42 |
|
23 | A*68:02-B*15:10 | | USA African American pop 4 | 1.2020 | | 2,411 |
|
24 | A*68:02-B*15:10-C*03:04 | | Uganda Kampala | 1.2000 | | 161 |
|
25 | B*15:10-C*03:04 | | Mali Bandiagara | 1.2000 | | 138 |
|
26 | A*23:01-B*15:10 | | Mali Bandiagara | 1.1000 | | 138 |
|
27 | A*68-B*15:10-DRB1*03:01-DQB1*02 | | Mexico Nayarit, Tepic | 1.0309 | | 97 |
|
28 | A*02:01:01-B*15:10:01-C*16:01:01 | | South African Mixed ancestry | 1.0000 | | 50 |
|
29 | A*03:01-B*15:10 | | South Africa Natal Zulu | 1.0000 | | 100 |
|
30 | A*23:01-B*15:10 | | South Africa Natal Zulu | 1.0000 | | 100 |
|
31 | A*29:02-B*15:10 | | South Africa Natal Zulu | 1.0000 | | 100 |
|
32 | A*30:02:01-B*15:10:01-C*04:01:01 | | South African Mixed ancestry | 1.0000 | | 50 |
|
33 | A*30:02:01-B*15:10:01-C*16:01:01 | | South African Indian population | 1.0000 | | 50 |
|
34 | A*30:02-B*15:10-C*03:04-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01 | | Kenya, Nyanza Province, Luo tribe | 1.0000 | | 100 |
|
35 | A*68:01:01-B*15:10:01-C*12:03:01 | | South African Indian population | 1.0000 | | 50 |
|
36 | A*68:02-B*15:10-C*03:04-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01 | | Kenya, Nyanza Province, Luo tribe | 1.0000 | | 100 |
|
37 | A*03:01:01-B*15:10:01-C*02:02:02-DRB1*07:01 | | Costa Rica African -Caribbean (G) | 0.9804 | | 102 |
|
38 | A*68:02-B*15:10-C*08:04-DRB1*13:01-DQB1*06:03-DPB1*105:01 | | Tanzania Maasai | 0.7987 | | 336 |
|
39 | A*29:01-B*15:10-C*08:01-DRB1*13:01-DQB1*03:02 | | Iran Gorgan | 0.7800 | | 64 |
|
40 | A*68:02-B*15:10-C*03:04-DRB1*03:01-DQB1*02:01 | | USA African American pop 4 | 0.7220 | | 2,411 |
|
41 | A*23:01:01-B*15:10:01-C*16:01:01-DRB1*11:01:02-DQB1*03:19:01-DPB1*13:01:01 | | South African Black | 0.7040 | | 142 |
|
42 | A*29:11-B*15:10:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*105:01:01 | | South African Black | 0.7040 | | 142 |
|
43 | A*03:01-B*15:10-C*03:04-DRB1*03:01 | | Brazil Vale do Ribeira Quilombos | 0.6944 | | 144 |
|
44 | A*30:02-B*15:10-C*03:04-DRB1*13:01 | | Brazil Vale do Ribeira Quilombos | 0.6944 | | 144 |
|
45 | A*30:04-B*15:10-C*03:04-DRB1*12:02 | | Brazil Vale do Ribeira Quilombos | 0.6944 | | 144 |
|
46 | A*29-B*15:10-DRB1*01-DQB1*05 | | Mexico Mexico City Center | 0.6494 | | 152 |
|
47 | A*33:01-B*15:10-C*03:04-DRB1*03:01-DQB1*02:01-DPB1*01:01 | | Tanzania Maasai | 0.6390 | | 336 |
|
48 | A*68:02:01-B*15:10:01-C*03:04:02-DRB1*11:01:02-DQB1*03:19:01-DPA1*03:01:01-DPB1*105:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.6250 | | 405 |
|
49 | A*02-B*15:10-DRB1*09-DQB1*02 | | Mexico Hidalgo Rural | 0.6173 | | 81 |
|
50 | A*43:01-B*15:10-C*04:01-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*04:02 | | South Africa Worcester | 0.6000 | | 159 |
|
51 | A*68:02-B*15:10-C*03:04-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*01:01 | | South Africa Worcester | 0.6000 | | 159 |
|
52 | A*68:02-B*15:10-C*08:04-DRB1*11:01-DQA1*01:02-DQB1*06:02-DPB1*03:01 | | South Africa Worcester | 0.6000 | | 159 |
|
53 | A*24-B*15:10-DRB1*12-DQB1*05 | | Mexico Jalisco, Zapopan | 0.5952 | | 168 |
|
54 | A*02:05:01-B*15:10:01-C*04:01:01-DRB1*07:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*11:01:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
55 | A*26:01:01-B*15:10:01-C*03:04:02-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:02:02-DPB1*01:01:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
56 | A*68:02:01-B*15:10:01-C*07:01:01-DRB1*15:03:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
57 | A*74:01:01-B*15:10:01-C*02:10:01-DRB1*13:02:01-DQB1*02:01:01-DPA1*03:01:01-DPB1*01:01:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
58 | A*68:03-B*15:10-DRB1*08:02 | | Mexico Oaxaca Jamiltepec Mixtec | 0.5200 | | 96 |
|
59 | A*29:01-B*15:10-DRB1*03:01-DQB1*02:01 | | Iran Tabriz Azeris | 0.5155 | | 97 |
|
60 | A*33-B*15:10-DRB1*01-DQB1*05 | | Mexico Sonora Rural | 0.5076 | | 197 |
|
61 | A*33-B*15:10-DRB1*13-DQB1*03:03 | | Mexico Sonora, Hermosillo | 0.5051 | | 99 |
|
62 | A*02:01-B*15:10-C*03:04-DRB1*12:01-DQA1*01:01-DQB1*06:02-DPB1*02:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
63 | A*23:01-B*15:10-C*16:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*39:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
64 | A*29-B*15:10-DRB1*12-DQB1*05 | | Mexico Baja Californa, Mexicali | 0.5000 | | 100 |
|
65 | A*30:02-B*15:10-C*03:04-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
66 | A*66:01-B*15:10-C*06:02-DRB1*13:01-DQA1*01:01-DQB1*03:03-DPB1*01:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
67 | A*68:02-B*15:10-C*02:02-DRB1*11:01-DQA1*02:01-DQB1*02:02-DPB1*02:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
68 | A*68-B*15:10-DRB1*11-DQB1*03:01 | | Mexico Baja Californa, Mexicali | 0.5000 | | 100 |
|
69 | A*02:02-B*15:10:01-C*03:04:02-DRB1*03:02:01 | | Costa Rica African -Caribbean (G) | 0.4902 | | 102 |
|
70 | A*02:02-B*15:10:01-C*03:04:02-DRB1*08:04:01 | | Costa Rica African -Caribbean (G) | 0.4902 | | 102 |
|
71 | A*03:01:01-B*15:10:01-C*03:04:02-DRB1*14:01 | | Costa Rica African -Caribbean (G) | 0.4902 | | 102 |
|
72 | A*03:01:01-B*15:10:01-C*04:01:01-DRB1*11:02:01 | | Costa Rica African -Caribbean (G) | 0.4902 | | 102 |
|
73 | A*23:01:01-B*15:10:01-C*03:02:01-DRB1*03:01 | | Costa Rica African -Caribbean (G) | 0.4902 | | 102 |
|
74 | A*23:01:01-B*15:10:01-C*03:04:02-DRB1*13:02:01 | | Costa Rica African -Caribbean (G) | 0.4902 | | 102 |
|
75 | A*68:02:01-B*15:10:01-C*16:01:01-DRB1*16:02:01 | | Costa Rica African -Caribbean (G) | 0.4902 | | 102 |
|
76 | A*80:01:01-B*15:10:01-C*03:04:02-DRB1*03:01 | | Costa Rica African -Caribbean (G) | 0.4902 | | 102 |
|
77 | A*01-B*15:10-DRB1*13-DQB1*05 | | Mexico Zacatecas, Fresnillo | 0.4762 | | 103 |
|
78 | A*68-B*15:10-DRB1*13-DQB1*05 | | Mexico Zacatecas, Fresnillo | 0.4762 | | 103 |
|
79 | A*29:02:01-B*15:10:01-C*03:04:01-DRB1*03:01 | | Costa Rica Guanacaste Mestizo (G) | 0.4545 | | 110 |
|
80 | A*33:03:01-B*15:10:01-C*18:01-DRB1*03:01 | | Costa Rica Guanacaste Mestizo (G) | 0.4545 | | 110 |
|
81 | A*68:02-B*15:10-C*03:04-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01 | | Nicaragua Managua | 0.4329 | | 339 |
|
82 | B*15:10-C*03:04 | | USA Hispanic pop 2 | 0.4260 | | 1,999 |
|
83 | A*68-B*15:10-DRB1*03:01-DQB1*02 | | Mexico Chihuahua Rural | 0.4184 | | 236 |
|
84 | A*30:01:01-B*15:10:01-C*03:04:02-DRB1*13:02:01-DQB1*06:04 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
85 | A*24:02:01-B*15:10:01-C*03:04:02-DRB1*11:01:02 | | Costa Rica Amerindians (G) | 0.4080 | | 125 |
|
86 | A*68:02:01-B*15:10:01-C*03:04:02-DRB1*11:01:02 | | Costa Rica Amerindians (G) | 0.4032 | | 125 |
|
87 | A*30:01-B*15:10-C*03:03-DRB1*13:01-DQA1*01:02-DQB1*06:04 | | Kosovo | 0.4030 | | 124 |
|
88 | A*30-B*15:10-DRB1*01-DQB1*05 | | Mexico Tamaulipas Rural | 0.3968 | | 125 |
|
89 | A*33-B*15:10-DRB1*15-DQB1*06 | | Mexico Tamaulipas Rural | 0.3968 | | 125 |
|
90 | A*02:01:01-B*15:10:01-C*03:04:02-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*01:01:01 | | Brazil Rio de Janeiro Caucasian | 0.3891 | | 521 |
|
91 | A*03:01-B*15:10 | | USA African American pop 4 | 0.3840 | | 2,411 |
|
92 | A*01:01:01-B*15:10:01-C*03:04:02-DRB1*04:01:01-DQB1*03:02:01-DPB1*01:01:01 | | South African Black | 0.3520 | | 142 |
|
93 | A*01:01:01-B*15:10:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*105:01:01 | | South African Black | 0.3520 | | 142 |
|
94 | A*02:01:01-B*15:10:01-C*06:02:01-DRB1*15:03:01-DQB1*03:01:01-DPB1*01:01:01 | | South African Black | 0.3520 | | 142 |
|
95 | A*02:02:01-B*15:10:01-C*03:04:02-DRB1*01:01:01-DQB1*05:01:01-DPB1*105:01:01 | | South African Black | 0.3520 | | 142 |
|
96 | A*02:05:01-B*15:10:01-C*08:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*01:01:01 | | South African Black | 0.3520 | | 142 |
|
97 | A*03:01:01-B*15:10:01-C*17:01:01-DRB1*04:01:01-DQB1*02:02:01-DPB1*17:01:01 | | South African Black | 0.3520 | | 142 |
|
98 | A*23:17-B*15:10:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*04:01:01 | | South African Black | 0.3520 | | 142 |
|
99 | A*24:02:01-B*15:10:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*55:01:01 | | South African Black | 0.3520 | | 142 |
|
100 | A*30:01:01-B*15:10:01-C*03:04:02-DRB1*13:02:01-DQB1*06:09:01-DPB1*105:01:01 | | South African Black | 0.3520 | | 142 |
|
* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).