Allele Frequencies in World Populations

HLA » Haplotype Frequency Search

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Line Haplotype Population Frequency (%) Sample Size Location
1A*02-B*48-DRB1*08:02-DQB1*04:02Bolivia La Paz Aymaras5.198716_29_S_68_7_W
2A*24:02-B*48:01-DRB1*08:02-DQB1*04:02USA Alaska Yupik3.8025260_48_N_161_26_W
3A*24:02:01-B*48:01-C*08:01-DRB1*08:02:01-DQB1*04:02-DPB1*04:01Mexico Chihuahua Tarahumara3.404427_30_N_107_45_W
4A*02:01-B*48:01-DRB1*08:02-DQB1*04:02Peru Titikaka Lake Uros1.7910515_50_S_70_1_W
5B*48:01-C*08:01-DRB1*08:02-DQB1*04:02Mexico Mexico City Mestizo pop 21.7123419_26_N_99_8_W
6A*02-B*48-DRB1*08:02-DQB1*04:02Bolivia Quechua1.526916_30_S_68_9_W
7A*68-B*48-DRB1*08:02-DQB1*04:02Bolivia Quechua1.456916_30_S_68_9_W
8B*48:01-C*08:01-DRB1*08:02-DQB1*04:02Mexico Mexico City Mestizo population0.7014319_25_N_99_7_W
9A*02:01:01-B*48:01:01-C*08:01:01-DRB1*08:02:01-DQB1*04:02Mexico Hidalgo Mezquital Valley/ Otomi0.697220_28_N_99_13_W
10A*03:01:01-B*48:01:01-C*08:01:01-DRB1*08:02:01-DQB1*04:02Mexico Hidalgo Mezquital Valley/ Otomi0.697220_28_N_99_13_W
11A*68:01:01-B*48:01:01-C*07:01:01-DRB1*08:02:01-DQB1*04:02Mexico Hidalgo Mezquital Valley/ Otomi0.697220_28_N_99_13_W
12A*68:01:01-B*48:01:01-C*08:01:01-DRB1*08:02:01-DQB1*04:02Mexico Hidalgo Mezquital Valley/ Otomi0.697220_28_N_99_13_W
13A*68:03:01-B*48:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02Mexico Hidalgo Mezquital Valley/ Otomi0.697220_28_N_99_13_W
14A*02:01-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02Mexico Mexico City Mestizo pop 20.6423419_26_N_99_8_W
15A*02:06-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02Mexico Mexico City Mestizo pop 20.6423419_26_N_99_8_W
16A*68:01-B*48:01-DRB1*08:02-DQB1*04:02Mexico Veracruz Xalapa0.608419_32_N_96_55_W
17B*48:01-C*08:03-DRB1*08:02-DQB1*04:02Mexico Mexico City Mestizo pop 20.4323419_26_N_99_8_W
18A*02:01-B*48:01-C*08:03-DRB1*08:02-DQB1*04:02Mexico Mexico City Mestizo pop 20.4323419_26_N_99_8_W
19A*02:01-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02Mexico Mexico City Mestizo population0.3514319_25_N_99_7_W
20A*02:06-B*48:03-C*08:01-DRB1*08:02-DQB1*04:02Mexico Mexico City Mestizo population0.3514319_25_N_99_7_W
21A*31:01-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02Mexico Mexico City Mestizo population0.3514319_25_N_99_7_W
22B*48:01-C*08:03-DRB1*08:02-DQB1*04:02Mexico Mexico City Mestizo population0.3514319_25_N_99_7_W
23B*48:03-C*08:01-DRB1*08:02-DQB1*04:02Mexico Mexico City Mestizo population0.3514319_25_N_99_7_W
24A*11:03-B*48:04-C*08:01-DRB1*08:02-DQB1*04:02India Northeast UCBB0.1729626_16_N_91_48_E
25A*02:01-B*48:01-DRB1*08:02-DQB1*04:02Mexico Mexico City Tlalpan0.1533019_25_N_99_8_W
26A*24:02-B*48:01-DRB1*08:02-DQB1*04:02Mexico Mexico City Tlalpan0.1533019_25_N_99_8_W
27A*68:01-B*48:01-DRB1*08:02-DQB1*04:02Mexico Mexico City Tlalpan0.1533019_25_N_99_8_W
28A*68:03-B*48:01-DRB1*08:02-DQB1*04:02Mexico Mexico City Tlalpan0.1533019_25_N_99_8_W
29A*24:02-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02Colombia Bogotá Cord Blood0.151,4634_39_N_73_52_W
30A*68:01-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02USA Hispanic pop 20.141,99944_58_N_93_15_W
31A*02:01-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02USA Hispanic pop 20.091,99944_58_N_93_15_W
32A*02:01-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02Colombia Bogotá Cord Blood0.091,4634_39_N_73_52_W
33A*68:02-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02Colombia Bogotá Cord Blood0.071,4634_39_N_73_52_W
34A*30:02-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02USA Hispanic pop 20.051,99944_58_N_93_15_W
35A*24:02-B*48:01-C*01:02-DRB1*08:02-DQB1*04:02Colombia Bogotá Cord Blood0.031,4634_39_N_73_52_W
36A*02:01-B*48:01-C*03:03-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02Japan pop 170.033,07837_36_N_138_2_E
37A*02:01-B*48:01-C*08:03-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*02:01Japan pop 170.033,07837_36_N_138_2_E
38A*31:01-B*48:01-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02Japan pop 170.033,07837_36_N_138_2_E
39A*02:01:01-B*48:01:01-C*08:03:01-DRB1*08:02:01-DQB1*04:02:01China Zhejiang Han0.031,73427_2_N_118_1_E
40A*02:01-B*48:01-C*01:02-DRB1*08:02-DQB1*04:02USA Hispanic pop 20.021,99944_58_N_93_15_W
41A*02:06-B*48:01-C*01:02-DRB1*08:02-DQB1*04:02USA Hispanic pop 20.021,99944_58_N_93_15_W
42A*02:06-B*48:03-C*08:01-DRB1*08:02-DQB1*04:02USA Hispanic pop 20.011,99944_58_N_93_15_W
43A*31:01-B*48:03-C*08:01-DRB1*08:02-DQB1*04:02USA Hispanic pop 20.011,99944_58_N_93_15_W
44A*02:11-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02India Central UCBB0.014,20427_1_N_81_19_E
45A*03:01-B*48:01-C*04:01-DRB1*08:02-DQB1*04:02USA Asian pop 20.011,77244_58_N_93_15_W
46A*26:02-B*48:01-C*04:01-DRB1*08:02-DQB1*04:02USA Asian pop 20.011,77244_58_N_93_15_W
47A*02:11-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02India West UCBB0.015,82919_11_N_73_3_E
48A*01:01-B*48:04-C*01:02-DRB1*08:02-DQB1*04:02India South UCBB0.0011,44613_6_N_80_8_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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