Allele Frequencies in World Populations

HLA » Haplotype Frequency Search

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Line Haplotype Population Frequency (%) Sample Size Location
1A*02:01:01-B*51:01:01-C*15:02:01-DRB1*11:01Costa Rica Guanacaste Mestizo (G)0.9111010_16_N_85_37_W
2A*02:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01Mexico Hidalgo Mezquital Valley/ Otomi0.697220_28_N_99_13_W
3A*24:02:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01India Kerala Malayalam speaking0.2835613_1_N_80_15_E
4A*24:02:13-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01India Andhra Pradesh Telugu Speaking0.2718613_4_N_80_14_E
5A*68:01:02-B*51:01:01-C*15:02:01-DRB1*11:01-DQB1*05:01Costa Rica Central Valley Mestizo (G)0.232219_55_N_84_5_W
6A*24:02:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02Brazil Rio de Janeiro Caucasian0.1952122_54_S_43_12_W
7A*03:02:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01-DPB1*04:01:01Saudi Arabia pop 6 (G)0.1328,92723_52_N_45_4_E
8A*02:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01Poland BMR0.0923,59552_0_N_19_22_E
9A*03:01:01:01-B*51:01:01-C*15:02:01:01-DRB1*11:01:01-DQB1*03:01Russia Nizhny Novgorod, Russians0.031,51056_19_N_43_59_E
10A*66:01:01-B*51:01:01-C*15:02:01:01-DRB1*11:01:01-DQB1*03:02Russia Nizhny Novgorod, Russians0.031,51056_19_N_43_59_E
11A*68:01:02:01-B*51:01:01-C*15:02:01:01-DRB1*11:01:01-DQB1*03:01Russia Nizhny Novgorod, Russians0.031,51056_19_N_43_59_E
12A*68:01:02:02-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01Russia Nizhny Novgorod, Russians0.031,51056_19_N_43_59_E
13A*11:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01Poland BMR0.0323,59552_0_N_19_22_E
14A*02:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01China Zhejiang Han0.031,73427_2_N_118_1_E
15A*68:01:02-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01Poland BMR0.0223,59552_0_N_19_22_E
16A*24:02:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01Poland BMR0.0123,59552_0_N_19_22_E
17A*29:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01Poland BMR0.0123,59552_0_N_19_22_E
18A*26:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01Poland BMR0.0123,59552_0_N_19_22_E
19A*03:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01Poland BMR0.0123,59552_0_N_19_22_E
20A*11:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DPB1*02:01:02Hong Kong Chinese HKBMDR HLA 11 loci0.015,26622_25_N_114_17_E
21A*02:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DPB1*14:01:01Hong Kong Chinese HKBMDR HLA 11 loci0.015,26622_25_N_114_17_E
22A*31:01:02-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01Poland BMR0.0123,59552_0_N_19_22_E
23A*31:01:02-B*51:01:01-C*15:02:01-DRB1*11:01:01-DPB1*05:01:01Hong Kong Chinese HKBMDR HLA 11 loci0.015,26622_25_N_114_17_E
24A*03:02:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01Poland BMR0.0123,59552_0_N_19_22_E
25A*25:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01Poland BMR0.0023,59552_0_N_19_22_E
26A*11:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*04:02:01Poland BMR0.0023,59552_0_N_19_22_E
27A*24:02:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*06:02:01Poland BMR0.0023,59552_0_N_19_22_E
28A*02:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*04:02:01Poland BMR0.0023,59552_0_N_19_22_E
29A*68:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01Poland BMR0.0023,59552_0_N_19_22_E
30A*31:01:02-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*02:01:01Poland BMR0.0023,59552_0_N_19_22_E
31A*03:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*05:02:01Poland BMR0.0023,59552_0_N_19_22_E
32A*03:02:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*06:02:01Poland BMR0.0023,59552_0_N_19_22_E
33A*31:01:02-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:03:02Poland BMR0.0023,59552_0_N_19_22_E
34A*01:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*05:02:01Poland BMR0.0023,59552_0_N_19_22_E
35A*02:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*06:04:01Poland BMR0.0023,59552_0_N_19_22_E
36A*02:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*05:03:01Poland BMR0.0023,59552_0_N_19_22_E
37A*03:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*05:03:01Poland BMR0.0023,59552_0_N_19_22_E



   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

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