Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*02-B*51-C*06-DRB1*13-DQB1*06 | | Sudan Khartoum | 4.5900 | | 98 |
|
2 | A*02-B*51-DRB1*13-DQB1*06 | | Mexico Tamaulipas, Ciudad Victoria | 4.3478 | | 23 |
|
3 | A*68-B*51-DRB1*13:02-DQB1*06:03 | | Colombia San Basilio de Palenque | 2.3810 | | 42 |
|
4 | A*02-B*51-DRB1*13-DQB1*06 | | Mexico Veracruz, Cordoba | 1.7857 | | 56 |
|
5 | A*02-B*51-DRB1*13:01-DQB1*06:03 | | Mexico Sinaloa Capomos Mayo Yoremes | 1.6667 | | 60 |
|
6 | A*02-B*51-DRB1*13-DQB1*06 | | Mexico Sinaloa, Culiacán | 1.4563 | | 103 |
|
7 | A*26-B*51-DRB1*13-DQB1*06 | | Mexico Jalisco, Tonala | 1.4286 | | 35 |
|
8 | A*02-B*51-DRB1*13-DQB1*06 | | Mexico Baja California, La Paz | 1.3333 | | 75 |
|
9 | A*02:01:01-B*51:01:01-C*14:02:01-DRB1*13:02:01-DQB1*06:04 | | Russia Bashkortostan, Bashkirs | 1.2500 | | 120 |
|
10 | A*68-B*51-C*06-DRB1*13-DQB1*06 | | Albanian Kosovo | 1.2500 | | 120 |
|
11 | A*02-B*51-DRB1*13-DQB1*06 | | Mexico Tabasco, Villahermosa | 1.2195 | | 82 |
|
12 | A*11-B*51-DRB1*13-DQB1*06 | | Mexico Tamaulipas Rural | 1.1905 | | 125 |
|
13 | A*02-B*51-C*07:02-DRB1*13-DQB1*06 | | Russia North Ossetian | 1.1800 | | 127 |
|
14 | A*24:02:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01 | | India Andhra Pradesh Telugu Speaking | 1.0753 | | 186 |
|
15 | A*02-B*51-C*01-DRB1*13-DQB1*06 | | Albania | 1.0000 | | 160 |
|
16 | A*02-B*51-DRB1*13:02-DQA1*01:02-DQB1*06:04 | | Morocco | 1.0000 | | 96 |
|
17 | A*11-B*51-DRB1*13-DQB1*06 | | Mexico Mexico City South | 0.9615 | | 52 |
|
18 | A*02:01:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Spain, Canary Islands, Gran canaria island | 0.9300 | | 215 |
|
19 | A*68:01-B*51:06-DRB1*13:01-DQB1*06:02 | | Iran Yazd | 0.8929 | | 56 |
|
20 | A*02:01-B*51:01-C*06:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*13:01-DQA1*02:01-DQB1*06:03 | | Portugal Azores Terceira Island | 0.8772 | | 130 |
|
21 | A*24:02:01-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01 | | India Karnataka Kannada Speaking | 0.8620 | | 174 |
|
22 | A*02-B*51-DRB1*13-DQA1*01:03-DQB1*06:03 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 0.8600 | | 112 |
|
23 | A*02:50-B*51:01-DRB1*13:01-DQB1*06:02 | | Iran Saqqez-Baneh Kurds | 0.8333 | | 60 |
|
24 | A*24-B*51-DRB1*13:47-DQB1*06:03 | | Mexico Sinaloa Capomos Mayo Yoremes | 0.8333 | | 60 |
|
25 | A*31:01:02-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01 | | India Andhra Pradesh Telugu Speaking | 0.8065 | | 186 |
|
26 | A*02-B*51-C*01-DRB1*13-DQB1*06 | | Albania pop 2 | 0.6800 | | 432 |
|
27 | A*02-B*51-C*06-DRB1*13-DQB1*06 | | Albania pop 2 | 0.6800 | | 432 |
|
28 | A*01-B*51-DRB1*13-DQB1*06 | | Mexico Oaxaca, Oaxaca city | 0.6623 | | 151 |
|
29 | A*02:01-B*51:01-C*16:01-DRB1*13:02-DQB1*06:09-DPB1*04:01 | | Tanzania Maasai | 0.6390 | | 336 |
|
30 | A*31:01:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*13:01:01 | | Saudi Arabia pop 6 (G) | 0.6294 | | 28,927 |
|
31 | A*02-B*51-DRB1*13-DQB1*06 | | Mexico Guanajuato Rural | 0.6135 | | 162 |
|
32 | A*11-B*51-DRB1*13-DQB1*06 | | Mexico Morelos, Cuernavaca | 0.6098 | | 82 |
|
33 | A*24-B*51-DRB1*13-DQB1*06 | | Mexico Tabasco, Villahermosa | 0.6098 | | 82 |
|
34 | A*32-B*51-DRB1*13-DQB1*06 | | Mexico Tabasco, Villahermosa | 0.6098 | | 82 |
|
35 | A*02-B*51-DRB1*13-DQB1*06 | | Mexico Jalisco, Zapopan | 0.5952 | | 168 |
|
36 | A*74:01-B*51:01-DRB1*13:01-DQB1*06:03 | | Mexico Veracruz Xalapa | 0.5952 | | 84 |
|
37 | A*33:03:01-B*51:01:01-C*15:02:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*104:01:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
38 | A*68:01:02-B*51:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*03:01:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
39 | A*02:01-B*51:01-DRB1*13:10-DQB1*06:03 | | Mexico Chihuahua Chihuahua City Pop 2 | 0.5682 | | 88 |
|
40 | A*02-B*51-DRB1*13-DQB1*06 | | Mexico Nuevo Leon Rural | 0.5682 | | 439 |
|
41 | A*24:02-B*51:01-DRB1*13:01-DQB1*06:03 | | Mexico Chihuahua Chihuahua City Pop 2 | 0.5682 | | 88 |
|
42 | A*11:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03 | | Malaysia Peninsular Indian | 0.5535 | | 271 |
|
43 | A*02-B*51-DRB1*13-DQB1*06 | | Mexico Aguascalientes state | 0.5263 | | 95 |
|
44 | A*31-B*51-DRB1*13-DQB1*06 | | Mexico Nayarit, Tepic | 0.5155 | | 97 |
|
45 | A*68:01-B*51:01-DRB1*13:01-DQB1*06:02 | | Iran Tabriz Azeris | 0.5155 | | 97 |
|
46 | A*25-B*51-DRB1*13-DQB1*06 | | Mexico Sonora Rural | 0.5076 | | 197 |
|
47 | A*33-B*51-DRB1*13-DQA1*01:03-DQB1*06:03 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 0.4400 | | 112 |
|
48 | A*68:01-B*51:01-C*15:02-E*01:01:01-F*01:01:02-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
49 | A*02:01:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01 | | India Kerala Malayalam speaking | 0.4210 | | 356 |
|
50 | A*02-B*51-DRB1*13-DQB1*06 | | Mexico Chihuahua Rural | 0.4184 | | 236 |
|
51 | A*02:01:01:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
52 | A*02:06:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
53 | A*02:01-B*51:01-C*01:02-DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Kosovo | 0.4030 | | 124 |
|
54 | A*25:01-B*51:01-C*02:02-DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Kosovo | 0.4030 | | 124 |
|
55 | A*68:01-B*51:01-C*05:01-DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Kosovo | 0.4030 | | 124 |
|
56 | A*68:01-B*51:01-C*12:03-DRB1*13:02-DQA1*01:02-DQB1*06:04 | | Kosovo | 0.4030 | | 124 |
|
57 | A*02-B*51-DRB1*13-DQB1*06 | | Mexico Tamaulipas Rural | 0.3968 | | 125 |
|
58 | A*01-B*51-C*16:02-DRB1*13-DQB1*06 | | Russia North Ossetian | 0.3900 | | 127 |
|
59 | A*31-B*51-DRB1*13-DQB1*06 | | Guatemala, Guatemala City Mixed Ancestry | 0.3900 | | 127 |
|
60 | A*02:01:01-B*51:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.3891 | | 521 |
|
61 | A*31:01:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*04:01:01 | | Saudi Arabia pop 6 (G) | 0.3771 | | 28,927 |
|
62 | A*02:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03 | | Malaysia Peninsular Indian | 0.3690 | | 271 |
|
63 | A*29-B*51-DRB1*13-DQB1*06 | | Mexico Tabasco Rural | 0.3521 | | 142 |
|
64 | A*02:01:01-B*51:01:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*04:01:01 | | South African Black | 0.3520 | | 142 |
|
65 | A*11:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
66 | B*51:01-C*14:02-DRB1*13:01-DQB1*06:03 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
67 | A*24-B*51-C*15-DRB1*13-DQB1*06 | | Albania pop 2 | 0.3400 | | 432 |
|
68 | A*30-B*51-C*07-DRB1*13-DQB1*06 | | Albania pop 2 | 0.3400 | | 432 |
|
69 | A*11-B*51-C*03:03-DRB1*13:02-DQB1*06 | | Russia Transbaikal Territory Buryats | 0.3340 | | 150 |
|
70 | A*68-B*51-DRB1*13-DQB1*06 | | Mexico Michoacan, Morelia | 0.3311 | | 150 |
|
71 | A*02:01:01-B*51:01:01-C*15:05:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*03:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
72 | A*11-B*51-DRB1*13-DQB1*06 | | Mexico Mexico City Center | 0.3247 | | 152 |
|
73 | A*03:01-B*51:01-C*14:02-DRB1*13:02-DQB1*06:09-DPB1*02:01 | | Tanzania Maasai | 0.3195 | | 336 |
|
74 | A*02:01:01-B*51:32-C*16:01:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*104:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
75 | A*31-B*51-DRB1*13-DQB1*06 | | Mexico Guanajuato Rural | 0.3067 | | 162 |
|
76 | A*30-B*51-DRB1*13-DQB1*06 | | Mexico Durango Rural | 0.3058 | | 326 |
|
77 | A*02-B*51-DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Brazil Paraná Caucasian | 0.2998 | | 641 |
|
78 | A*11-B*51-DRB1*13-DQB1*06 | | Mexico Jalisco, Zapopan | 0.2976 | | 168 |
|
79 | A*02-B*51-DRB1*13-DQB1*06 | | Mexico Michoacan Rural | 0.2865 | | 348 |
|
80 | A*11-B*51-DRB1*13-DQB1*06 | | Mexico Michoacan Rural | 0.2865 | | 348 |
|
81 | A*02:11:01-B*51:01:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01 | | India Kerala Malayalam speaking | 0.2810 | | 356 |
|
82 | A*11:01:01-B*51:01:01-C*16:02:01-DRB1*13:01:01-DQB1*06:110 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
83 | A*24:02:01-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
84 | A*68:01:02-B*51:01:01-C*16:02:01-DRB1*13:01:01-DQB1*06:03:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
85 | A*30:02-B*51:08-C*16:02-DRB1*13:02-DQB1*06:04 | | USA NMDP Caribean Indian | 0.2646 | | 14,339 |
|
86 | A*02:01:01:01-B*51:01:01-C*06:02:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
87 | A*02:01:01:01-B*51:01:01-C*15:02:01-DRB1*13:02:01-DQB1*06:04:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
88 | A*02:06:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
89 | A*24:02:01:01-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
90 | A*11-B*51-DRB1*13-DQB1*06 | | Mexico Jalisco Rural | 0.2560 | | 585 |
|
91 | A*24-B*51-DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Brazil Paraná Caucasian | 0.2542 | | 641 |
|
92 | A*29:02-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03 | | USA NMDP Caribean Indian | 0.2337 | | 14,339 |
|
93 | A*33:01:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
94 | A*03:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03 | | India Tamil Nadu | 0.2297 | | 2,492 |
|
95 | A*02-B*51-DRB1*13-DQB1*06 | | Mexico Nuevo Leon, Monterrey city | 0.2212 | | 226 |
|
96 | A*02:01-B*51:01-C*15:09-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:01 | | Nicaragua Managua | 0.2165 | | 339 |
|
97 | A*02-B*51-DRB1*13-DQB1*06 | | Ecuador Coast Mixed Ancestry | 0.2101 | | 238 |
|
98 | A*11-B*51-DRB1*13-DQB1*06 | | Ecuador Coast Mixed Ancestry | 0.2101 | | 238 |
|
99 | A*11:01-B*51:01-C*05:01-DRB1*13:01:01-DQB1*06:03:01 | | England North West | 0.2000 | | 298 |
|
100 | A*68:01-B*51:01-C*15:02-DRB1*13:02:01-DQB1*06:04 | | England North West | 0.2000 | | 298 |
|
* 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).