Allele Frequencies in World Populations

HLA » Haplotype Frequency Search

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Line Haplotype Population Frequency (%) Sample Size Location
1A*24:02-B*35:01-DRB1*08:02-DQB1*04:02USA Alaska Yupik6.0025260_48_N_161_26_W
2A*02:01:01/02:01:09-B*35:01/35:02/35:03-C*03:04-DRB1*08:02:01-DQB1*04:02-DPB1*04:02Mexico Chihuahua Tarahumara3.404427_30_N_107_45_W
3A*02:01-B*35:01-DRB1*08:02-DQB1*04:02Peru Titikaka Lake Uro3.3010515_50_S_69_42_W
4A*02:01-B*35:01-DRB1*08:02-DQB1*04:02Peru Titikaka Lake Uros3.2710515_50_S_70_1_W
5A*02:06-B*35:01-DRB1*08:02-DQB1*04:02USA Alaska Yupik3.1025260_48_N_161_26_W
6A*31:01:02-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02Mexico Hidalgo Mezquital Valley/ Otomi2.787220_28_N_99_13_W
7A*02:01-B*35:01-DRB1*08:02-DQB1*04:02Mexico Veracruz Xalapa2.388419_32_N_96_55_W
8A*02:01-B*35:01-DRB1*08:02-DQB1*04:02Mexico Mexico City Tlalpan1.9733019_25_N_99_8_W
9B*35:01-C*04:01-DRB1*08:02-DQB1*04:02Mexico Mexico City Mestizo population1.4014319_25_N_99_7_W
10A*02:01:01-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02Mexico Hidalgo Mezquital Valley/ Otomi1.397220_28_N_99_13_W
11A*68:01:01-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02Mexico Hidalgo Mezquital Valley/ Otomi1.397220_28_N_99_13_W
12A*02:01-B*35:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02Mexico Chichen Itza Maya (prehispanic)1.064720_40_N_88_34_W
13A*02:06-B*35:01-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02Mexico Chichen Itza Maya (prehispanic)1.064720_40_N_88_34_W
14A*24:02:01-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02:01Costa Rica Central Valley Mestizo (G)0.902219_55_N_84_5_W
15A*24:02-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02Mexico Mexico City Mestizo population0.7014319_25_N_99_7_W
16A*02:01:01-B*35:01:01-C*03:02:01-DRB1*08:02:01-DQB1*04:02Mexico Hidalgo Mezquital Valley/ Otomi0.697220_28_N_99_13_W
17A*02:01:01-B*35:01:01-C*08:01:01-DRB1*08:02:01-DQB1*04:02Mexico Hidalgo Mezquital Valley/ Otomi0.697220_28_N_99_13_W
18A*24:02:01-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02Mexico Hidalgo Mezquital Valley/ Otomi0.697220_28_N_99_13_W
19A*68:03:01-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02Mexico Hidalgo Mezquital Valley/ Otomi0.697220_28_N_99_13_W
20B*35:01-C*04:01-DRB1*08:02-DQB1*04:02Mexico Mexico City Mestizo pop 20.6423419_26_N_99_8_W
21A*24:02-B*35:01-DRB1*08:02-DQB1*04:02Peru Titikaka Lake Uros0.6310515_50_S_70_1_W
22A*24:02-B*35:01-DRB1*08:02-DQB1*04:02Mexico Mexico City Tlalpan0.6133019_25_N_99_8_W
23A*24:02-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02USA NMDP Alaska Native or Aleut0.591,37638_45_N_76_6_W
24A*24:02-B*35:01-DRB1*08:02-DQB1*04:02Mexico Chihuahua Chihuahua City Pop 20.578828_48_N_106_26_W
25A*26:01-B*35:01-DRB1*08:02-DQB1*04:02Mexico Chihuahua Chihuahua City Pop 20.578828_48_N_106_26_W
26A*02:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02Mexico Mexico City Mestizo pop 20.4323419_26_N_99_8_W
27A*68:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02-DPB1*04:02Panama0.384628_59_N_79_37_W
28A*02:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02Mexico Mexico City Mestizo population0.3514319_25_N_99_7_W
29A*31:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02Mexico Mexico City Mestizo population0.3514319_25_N_99_7_W
30A*02:01-B*35:01-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02Mexico Chiapas Lacandon Mayans0.2321816_54_N_92_5_W
31A*24:02-B*35:01-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02Mexico Chiapas Lacandon Mayans0.2321816_54_N_92_5_W
32A*31:01-B*35:01-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02Mexico Chiapas Lacandon Mayans0.2321816_54_N_92_5_W
33A*31:01-B*35:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02Mexico Chiapas Lacandon Mayans0.2321816_54_N_92_5_W
34A*68:01-B*35:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02Mexico Chiapas Lacandon Mayans0.2321816_54_N_92_5_W
35A*02:06:01-B*35:01:01-C*07:02:01-DRB1*08:02:01-DQB1*04:02:01Costa Rica Central Valley Mestizo (G)0.232219_55_N_84_5_W
36A*02:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02USA NMDP American Indian South or Central America0.235,92638_45_N_76_6_W
37A*02:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02USA Hispanic pop 20.191,99944_58_N_93_15_W
38A*02:06-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02USA NMDP Alaska Native or Aleut0.171,37638_45_N_76_6_W
39A*11:01-B*35:01-C*03:04-DRB1*08:02-DQB1*04:02India Northeast UCBB0.1729626_16_N_91_48_E
40A*02:02-B*35:01-DRB1*08:02-DQB1*04:02Mexico Mexico City Tlalpan0.1533019_25_N_99_8_W
41A*23:01-B*35:01-DRB1*08:02-DQB1*04:02Mexico Mexico City Tlalpan0.1533019_25_N_99_8_W
42A*31:01-B*35:01-DRB1*08:02-DQB1*04:02Mexico Mexico City Tlalpan0.1533019_25_N_99_8_W
43A*68:01-B*35:01-C*03:04-DRB1*08:02-DQB1*04:02Colombia Bogotá Cord Blood0.141,4634_39_N_73_52_W
44A*31:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02Colombia Bogotá Cord Blood0.101,4634_39_N_73_52_W
45A*24:02-B*35:01-C*03:04-DRB1*08:02-DQB1*04:02USA Hispanic pop 20.091,99944_58_N_93_15_W
46A*24:14-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02Colombia Bogotá Cord Blood0.071,4634_39_N_73_52_W
47A*02:01-B*35:01-C*03:04-DRB1*08:02-DQB1*04:02USA Hispanic pop 20.051,99944_58_N_93_15_W
48A*25:01-B*35:01-C*03:04-DRB1*08:02-DQB1*04:02USA Hispanic pop 20.051,99944_58_N_93_15_W
49A*68:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02USA Hispanic pop 20.051,99944_58_N_93_15_W
50A*03:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02Colombia Bogotá Cord Blood0.031,4634_39_N_73_52_W
51A*02:01-B*35:01-C*03:03-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*02:01Japan pop 170.033,07837_36_N_138_2_E
52A*02:01-B*35:01-C*08:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02Japan pop 170.033,07837_36_N_138_2_E
53A*02:01-B*35:01-C*08:01-DRB1*08:02-DQA1*06:01-DQB1*04:02-DPA1*02:02-DPB1*05:01Japan pop 170.033,07837_36_N_138_2_E
54A*02:06-B*35:01-C*03:03-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01Japan pop 170.033,07837_36_N_138_2_E
55A*26:03-B*35:01-C*03:03-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:01-DPB1*13:01Japan pop 170.033,07837_36_N_138_2_E
56A*02:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02India South UCBB0.0211,44613_6_N_80_8_E
57A*02:06-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02India South UCBB0.0111,44613_6_N_80_8_E
58A*02:01-B*35:01-C*03:03-DRB1*08:02-DQB1*04:02USA Asian pop 20.011,77244_58_N_93_15_W
59A*26:01-B*35:01-C*03:03-DRB1*08:02-DQB1*04:02USA Asian pop 20.011,77244_58_N_93_15_W
60A*31:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02India West UCBB0.015,82919_11_N_73_3_E
61A*02:06-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02India North UCBB0.015,84928_36_N_77_11_E
62A*31:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02India North UCBB0.015,84928_36_N_77_11_E
63A*02:11-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02India South UCBB0.0111,44613_6_N_80_8_E
64A*11:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02India South UCBB0.0011,44613_6_N_80_8_E
65A*24:02-B*35:01-C*07:04-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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