Allele Frequencies in World Populations

HLA » Haplotype Frequency Search

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Line Haplotype Population Frequency (%) Sample Size Location
1A*31-B*40:02-DRB1*08-DQB1*04Mexico San Luis Potosi Rural1.158721_20_N_98_58_W
2A*31-B*40:02-DRB1*08-DQB1*04Mexico Quintana Roo Rural1.005020_12_N_87_25_W
3A*31:12-B*40:02-C*01:02-DRB1*08:02-DQB1*04:02Colombia North Wiwa El Encanto0.965210_10_N_73_53_W
4A*31-B*40:02-DRB1*08-DQB1*04Mexico Tamaulipas Rural0.7912522_23_N_97_56_W
5A*31:01-B*40:02-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*04:02Mexico Tixcacaltuyub Maya0.756720_29_N_88_54_W
6A*31-B*40:02-DRB1*08-DQB1*04Mexico Michoacan Rural0.7234819_38_N_101_38_W
7A*31:01:02-B*40:02:01-C*03:02:01-DRB1*08:02:01-DQB1*04:02Mexico Hidalgo Mezquital Valley/ Otomi0.697220_28_N_99_13_W
8A*31-B*40:02-DRB1*08-DQB1*04Mexico Chihuahua, Ciudad Juarez0.4610631_41_N_106_25_W
9A*31-B*40:02-DRB1*08-DQB1*04Mexico Tlaxcala Rural0.4283019_14_N_98_20_W
10A*31-B*40:02-DRB1*08-DQB1*04Mexico Chihuahua Rural0.4223627_18_N_107_53_W
11A*31-B*40:02-DRB1*08-DQB1*04Mexico Coahuila, Torreon0.3839625_32_N_103_24_W
12A*31-B*40:02-DRB1*08-DQB1*04Mexico Sonora, Ciudad Obregón0.3514327_28_N_109_55_W
13A*31-B*40:02-DRB1*08-DQB1*04Mexico Mexico City Center0.3215219_25_N_99_7_W
14A*31-B*40:02-DRB1*08-DQB1*04Mexico Puebla Rural0.3083319_57_N_97_38_W
15A*31-B*40:02-DRB1*08-DQB1*04Mexico Veracruz Rural0.2853918_26_N_95_12_W
16A*31-B*40:02-DRB1*08-DQB1*04Mexico Yucatan, Merida0.2619220_58_N_89_35_W
17A*31-B*40:02-DRB1*08-DQB1*04Mexico Puebla, Puebla city0.251,99419_2_N_98_12_W
18A*31:01-B*40:02-C*03:04-DRB1*08:01-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02Mexico Chiapas Lacandon Mayans0.2321816_54_N_92_5_W
19A*31:01-B*40:02-C*03:05-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02Mexico Chiapas Lacandon Mayans0.2321816_54_N_92_5_W
20A*31-B*40:02-DRB1*08-DQB1*04Mexico Coahuila Rural0.2321626_59_N_102_3_W
21A*31-B*40:02-DRB1*08-DQB1*04Mexico Jalisco, Guadalajara city0.171,18920_39_N_103_20_W
22A*31:01-B*40:02-DRB1*08:02-DQB1*04:02Mexico Mexico City Tlalpan0.1533019_25_N_99_8_W
23A*31-B*40:02-DRB1*08-DQB1*04Ecuador Andes Mixed Ancestry0.068241_28_S_78_49_W
24A*31:01-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02-DPB1*04:02Russia Karelia0.061,07563_9_N_32_59_E
25A*31:01-B*40:02-C*01:10-DRB1*08:02-DQB1*04:02USA Hispanic pop 20.051,99944_58_N_93_15_W
26A*31-B*40:02-DRB1*08-DQB1*04Ecuador Mixed Ancestry0.041,1730_10_S_78_28_W
27A*31:01-B*40:02-C*01:10-DRB1*08:02-DQB1*04:02Colombia Bogotá Cord Blood0.041,4634_39_N_73_52_W
28A*31:01-B*40:02-C*03:04-DRB1*08:04-DQB1*04:02Colombia Bogotá Cord Blood0.031,4634_39_N_73_52_W
29A*31:01-B*40:02-C*04:01-DRB1*08:02-DQB1*04:02Colombia Bogotá Cord Blood0.031,4634_39_N_73_52_W



   

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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