Allele Frequencies in World Populations

HLA » Haplotype Frequency Search

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Line Haplotype Population Frequency (%) Sample Size Location
1A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01-DPA1*02:01:01-DPB1*30:01:01Brazil Rio de Janeiro Black1.476822_54_S_43_12_W
2A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01China Zhejiang Han1.351,73427_2_N_118_1_E
3A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01India Kerala Malayalam speaking1.1235613_1_N_80_15_E
4A*01:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01Vietnam Kinh0.5010114_5_N_108_27_E
5A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*02:01Russian Federation Vologda Region0.4211959_13_N_39_54_E
6A*68:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*02:01:02Brazil Rio de Janeiro Caucasian0.1952122_54_S_43_12_W
7A*11:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01China Zhejiang Han0.171,73427_2_N_118_1_E
8A*26:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01India Kerala Malayalam speaking0.1435613_1_N_80_15_E
9A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01Poland BMR0.1223,59552_0_N_19_22_E
10A*03:01:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01Russia Nizhny Novgorod, Russians0.101,51056_19_N_43_59_E
11A*25:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01Russia Nizhny Novgorod, Russians0.031,51056_19_N_43_59_E
12A*31:01:02:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01Russia Nizhny Novgorod, Russians0.031,51056_19_N_43_59_E
13A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01Russia Nizhny Novgorod, Russians0.031,51056_19_N_43_59_E
14A*68:13:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01Russia Nizhny Novgorod, Russians0.031,51056_19_N_43_59_E
15A*31:01:02-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01China Zhejiang Han0.031,73427_2_N_118_1_E
16A*02:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01China Zhejiang Han0.031,73427_2_N_118_1_E
17A*30:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01China Zhejiang Han0.031,73427_2_N_118_1_E
18A*01:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01China Zhejiang Han0.031,73427_2_N_118_1_E
19A*26:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01China Zhejiang Han0.031,73427_2_N_118_1_E
20A*68:01:02-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01China Zhejiang Han0.031,73427_2_N_118_1_E
21A*02:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01Poland BMR0.0323,59552_0_N_19_22_E
22A*25:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01Poland BMR0.0123,59552_0_N_19_22_E
23A*01:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01Poland BMR0.0123,59552_0_N_19_22_E
24A*11:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01Poland BMR0.0123,59552_0_N_19_22_E
25A*26:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01Poland BMR0.0123,59552_0_N_19_22_E
26A*30:04:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01Poland BMR0.0023,59552_0_N_19_22_E
27A*23:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01Poland BMR0.0023,59552_0_N_19_22_E
28A*66:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01Poland BMR0.0023,59552_0_N_19_22_E
29A*03:02:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01Poland BMR0.0023,59552_0_N_19_22_E
30A*30:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01Poland 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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