Allele Frequencies in World Populations

HLA » Haplotype Frequency Search

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Line Haplotype Population Frequency (%) Sample Size Location
1A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01India Karnataka Kannada Speaking1.1517412_57_N_77_36_E
2A*11:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01India Kerala Malayalam speaking0.9535613_1_N_80_15_E
3A*02:06:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01India Andhra Pradesh Telugu Speaking0.8118613_4_N_80_14_E
4A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01India Kerala Malayalam speaking0.6035613_1_N_80_15_E
5A*02:11:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01India Andhra Pradesh Telugu Speaking0.5418613_4_N_80_14_E
6A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01India Kerala Malayalam speaking0.4235613_1_N_80_15_E
7A*02:06:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01India Kerala Malayalam speaking0.4235613_1_N_80_15_E
8A*11:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01Brazil Barra Mansa Rio State Caucasian0.3140522_32_S_44_10_W
9A*33:03:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01India Kerala Malayalam speaking0.2835613_1_N_80_15_E
10A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01India Andhra Pradesh Telugu Speaking0.2718613_4_N_80_14_E
11A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02Brazil Rio de Janeiro Caucasian0.1952122_54_S_43_12_W
12A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02Brazil Rio de Janeiro Caucasian0.1952122_54_S_43_12_W
13A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*02:01:02-DPB1*01:01:01Brazil Rio de Janeiro Caucasian0.1952122_54_S_43_12_W
14A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01China Zhejiang Han0.171,73427_2_N_118_1_E
15A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01China Zhejiang Han0.111,73427_2_N_118_1_E
16A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*03:01:01Saudi Arabia pop 6 (G)0.1028,92723_52_N_45_4_E
17A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01Poland BMR0.0923,59552_0_N_19_22_E
18A*11:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01China Zhejiang Han0.081,73427_2_N_118_1_E
19A*11:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01China Zhejiang Han0.071,73427_2_N_118_1_E
20A*02:06:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01China Zhejiang Han0.061,73427_2_N_118_1_E
21A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01China Zhejiang Han0.031,73427_2_N_118_1_E
22A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01Poland BMR0.0223,59552_0_N_19_22_E
23A*26:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01Poland BMR0.0123,59552_0_N_19_22_E
24A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01Poland BMR0.0123,59552_0_N_19_22_E
25A*03:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01Poland BMR0.0123,59552_0_N_19_22_E
26A*33:03:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01Poland BMR0.0023,59552_0_N_19_22_E
27A*68:01:02-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01Poland BMR0.0023,59552_0_N_19_22_E
28A*32:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01Poland BMR0.0023,59552_0_N_19_22_E
29A*25:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01Poland 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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