Allele Frequencies in World Populations

HLA » Haplotype Frequency Search

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Line Haplotype Population Frequency (%) Sample Size Location
1A*32:01-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02Kosovo0.4012442_34_N_21_0_E
2A*01:01-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*05:01USA San Diego0.2649632_50_N_117_15_W
3A*02:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01Russia Nizhny Novgorod, Russians0.231,51056_19_N_43_59_E
4A*02:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02USA NMDP American Indian South or Central America0.215,92638_45_N_76_6_W
5A*11:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01China Zhejiang Han0.201,73427_2_N_118_1_E
6A*29:02:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02:01England North West0.2029853_0_N_3_0_W
7A*31:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02:01England North West0.2029853_0_N_3_0_W
8A*03:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01Brazil Rio de Janeiro Caucasian0.1952122_54_S_43_12_W
9A*26:03-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*13:01Japan pop 170.163,07837_36_N_138_2_E
10A*24:02-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01Japan pop 170.103,07837_36_N_138_2_E
11A*32:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02USA Hispanic pop 20.091,99944_58_N_93_15_W
12A*26:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02USA Asian pop 20.091,77244_58_N_93_15_W
13A*26:03-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02USA Asian pop 20.091,77244_58_N_93_15_W
14A*31:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02USA Asian pop 20.091,77244_58_N_93_15_W
15A*02:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01China Zhejiang Han0.091,73427_2_N_118_1_E
16A*02:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02-DPB1*04:01Germany DKMS - German donors0.083,456,06648_31_N_9_3_E
17A*02:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria,0.074,33541_22_N_2_11_E
18A*32:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria,0.074,33541_22_N_2_11_E
19A*31:01:02-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01China Zhejiang Han0.061,73427_2_N_118_1_E
20A*02:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01Poland BMR0.0523,59552_0_N_19_22_E
21A*02:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02Germany DKMS - Italy minority0.041,15948_31_N_9_3_E
22A*11:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02USA Asian pop 20.041,77244_58_N_93_15_W
23A*03:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02Colombia Bogotá Cord Blood0.031,4634_39_N_73_52_W
24A*31:01:02:01-B*15:01:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01Russia Nizhny Novgorod, Russians0.031,51056_19_N_43_59_E
25A*32:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01Russia Nizhny Novgorod, Russians0.031,51056_19_N_43_59_E
26A*24:02:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01Poland BMR0.0323,59552_0_N_19_22_E
27A*02:01-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01Japan pop 170.033,07837_36_N_138_2_E
28A*02:01-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*04:02Japan pop 170.033,07837_36_N_138_2_E
29A*02:06-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01Japan pop 170.033,07837_36_N_138_2_E
30A*26:03-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01Japan pop 170.033,07837_36_N_138_2_E
31A*31:01-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01Japan pop 170.033,07837_36_N_138_2_E
32A*31:01-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*02:01Japan pop 170.033,07837_36_N_138_2_E
33A*31:01-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01Japan pop 170.033,07837_36_N_138_2_E
34A*33:03-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01Japan pop 170.033,07837_36_N_138_2_E
35A*01:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01China Zhejiang Han0.031,73427_2_N_118_1_E
36A*26:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01China Zhejiang Han0.031,73427_2_N_118_1_E
37A*24:02-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02-DPB1*04:01Germany DKMS - German donors0.033,456,06648_31_N_9_3_E
38A*32:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02-DPB1*04:01Germany DKMS - German donors0.023,456,06648_31_N_9_3_E
39A*03:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02-DPB1*04:01Germany DKMS - German donors0.023,456,06648_31_N_9_3_E
40A*01:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01Poland BMR0.0223,59552_0_N_19_22_E
41A*02:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02India West UCBB0.015,82919_11_N_73_3_E
42A*31:01:02-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01Poland BMR0.0023,59552_0_N_19_22_E
43A*25:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01Poland 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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