Allele Frequencies in World Populations

HLA » Haplotype Frequency Search

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Line Haplotype Population Frequency (%) Sample Size Location
1A*02-B*07-DRB1*13:02-DQB1*03:01Colombia San Basilio de Palenque2.384210_6_N_75_11_W
2A*03:01:01-B*07:02:01-C*06:02:01-DRB1*13:02:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*01:01:01Brazil Barra Mansa Rio State Black2.387322_32_S_44_10_W
3A*02-B*07-DRB1*13-DQB1*03:01Mexico Hidalgo, Pachuca1.224120_6_N_98_45_W
4A*01-B*07-DRB1*13-DQB1*03:01Mexico Colima, Colima city0.826119_14_N_103_43_W
5A*26-B*07-DRB1*13-DQB1*03:01Mexico Yucatan Rural0.7513221_16_N_89_31_W
6A*33-B*07-DRB1*13-DQB1*03:01Mexico Baja California, La Paz0.677524_8_N_110_18_W
7A*24:02:01-B*07:02:01-C*02:02:02-DRB1*13:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01:01Brazil Rio de Janeiro Parda0.5917022_54_S_43_12_W
8A*68:01-B*07:02-DRB1*13:03-DQB1*03:01Mexico Chihuahua Chihuahua City Pop 20.578828_48_N_106_26_W
9A*02-B*07-DRB1*13-DQB1*03:01Mexico Tlaxcala, Tlaxcala city0.5518119_18_N_98_14_W
10A*29:01:01-B*07:05:01-C*15:05:02-DRB1*13:12:01-DQB1*03:01:01Vietnam Kinh0.5010114_5_N_108_27_E
11A*03:01:01-B*07:02:01-C*07:02:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*06:01Russian Federation Vologda Region0.4211959_13_N_39_54_E
12A*01-B*07-DRB1*13-DQB1*03:01Guatemala, Guatemala City Mixed Ancestry0.3912714_37_N_90_31_W
13A*03-B*07-DRB1*13-DQB1*03:01Guatemala, Guatemala City Mixed Ancestry0.3912714_37_N_90_31_W
14A*02:01:01-B*07:02:01-C*17:03:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01Russia Belgorod region0.3315350_46_N_37_27_E
15A*26-B*07-DRB1*13-DQB1*03:01Mexico Durango, Durango city0.3215324_1_N_104_39_W
16A*23:01-B*07:02-C*07:02-DRB1*13:03-DQA1*03:03-DQB1*03:01-DPB1*17:01South Africa Worcester0.3015933_39_S_19_27_E
17A*43:01-B*07:02-C*18:01-DRB1*13:02-DQA1*05:01-DQB1*03:01-DPB1*01:01South Africa Worcester0.3015933_39_S_19_27_E
18A*23-B*07-DRB1*13-DQB1*03:01Mexico Coahuila Rural0.2321626_59_N_102_3_W
19A*01:01-B*07:02-C*04:01-DRB1*13:14-DQB1*03:01Malaysia Peninsular Indian0.182713_9_N_101_57_E
20A*66-B*07-DRB1*13-DQB1*03:01Mexico Michoacan Rural0.1434819_38_N_101_38_W
21A*02:01-B*07:02-C*07:02-DRB1*13:02-DQB1*03:01Italy pop 50.1497545_28_N_9_11_E
22A*24:02:01-B*07:02:01-C*07:02:01-DRB1*13:01-DQB1*03:01Costa Rica Central Valley Mestizo (G)0.112219_55_N_84_5_W
23A*02-B*07-DRB1*13-DQB1*03:01Mexico Oaxaca Rural0.1048515_49_N_96_19_W
24A*03:01-B*07:02-C*07:02-DRB1*13:03-DQB1*03:01-DPB1*03:01Russia Karelia0.091,07563_9_N_32_59_E
25A*23-B*07-DRB1*13-DQB1*03:01Mexico Veracruz Rural0.0953918_26_N_95_12_W
26A*24-B*07-DRB1*13-DQB1*03:01Mexico Veracruz Rural0.0953918_26_N_95_12_W
27A*02-B*07-DRB1*13-DQB1*03:01Mexico Jalisco Rural0.0958520_52_N_103_50_W
28A*23-B*07-DRB1*13:03-DQA1*05:01-DQB1*03:01Brazil Paraná Caucasian0.0864123_25_S_51_55_W
29A*24:02-B*07:02-C*14:02-DRB1*13:01-DQA1*06:01-DQB1*03:01-DPB1*14:01Sri Lanka Colombo0.077146_56_N_79_50_E
30A*33:01-B*07:02-C*07:02-DRB1*13:02-DQB1*03:01Malaysia Peninsular Malay0.059513_9_N_101_57_E
31A*03:01-B*07:02-C*07:02-DRB1*13:05-DQB1*03:01Germany DKMS - Italy minority0.041,15948_31_N_9_3_E
32A*02-B*07-DRB1*13-DQB1*03:01Mexico Jalisco, Guadalajara city0.041,18920_39_N_103_20_W
33A*03-B*07-DRB1*13-DQB1*03:01Mexico Jalisco, Guadalajara city0.041,18920_39_N_103_20_W
34A*02:01-B*07:02-C*07:02-DRB1*13:03-DQB1*03:01Colombia Bogotá Cord Blood0.031,4634_39_N_73_52_W
35A*02:01-B*07:02-C*07:02-DRB1*13:03-DQB1*03:01Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria,0.034,33541_22_N_2_11_E
36A*24:02-B*07:02-C*07:02-DRB1*13:03-DQB1*03:01Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria,0.034,33541_22_N_2_11_E
37A*29:01:01:01-B*07:05:01-C*15:05:02-DRB1*13:03:01-DQB1*03:01Russia Nizhny Novgorod, Russians0.031,51056_19_N_43_59_E
38A*31:01:02:01-B*07:02:01-C*07:02:01:03-DRB1*13:03:01-DQB1*03:01Russia Nizhny Novgorod, Russians0.031,51056_19_N_43_59_E
39A*02:01:01-B*07:02:01-C*07:02:01-DRB1*13:03:01-DQB1*03:01:01Poland BMR0.0323,59552_0_N_19_22_E
40A*02-B*07-DRB1*13-DQB1*03:01Mexico Puebla, Puebla city0.031,99419_2_N_98_12_W
41A*03:01:01-B*07:02:01-C*07:02:01-DRB1*13:03:01-DQB1*03:01:01Poland BMR0.0223,59552_0_N_19_22_E
42A*01:02-B*07:02-C*07:02-DRB1*13:04-DQB1*03:01USA Hispanic pop 20.011,99944_58_N_93_15_W
43A*02:20-B*07:02-C*07:02-DRB1*13:04-DQB1*03:01USA Hispanic pop 20.011,99944_58_N_93_15_W
44A*29:02-B*07:02-C*07:02-DRB1*13:03-DQB1*03:01USA Hispanic pop 20.011,99944_58_N_93_15_W
45A*31:01-B*07:02-C*07:02-DRB1*13:03-DQB1*03:01USA Hispanic pop 20.011,99944_58_N_93_15_W
46A*29:01-B*07:05-C*15:05-DRB1*13:03-DQB1*03:01India West UCBB0.015,82919_11_N_73_3_E
47A*26:01:01-B*07:02:01-C*07:02:01-DRB1*13:03:01-DQB1*03:01:01Poland BMR0.0123,59552_0_N_19_22_E
48A*24:143-B*07:06-C*03:04-DRB1*13:03-DQB1*03:01India South UCBB0.0011,44613_6_N_80_8_E
49A*68:01-B*07:02-C*07:02-DRB1*13:49-DQB1*03:01India South UCBB0.0011,44613_6_N_80_8_E
50A*25:01:01-B*07:05:01-C*15:05:02-DRB1*13:05:01-DQB1*03:01:01Poland BMR0.0023,59552_0_N_19_22_E
51A*01:01:01-B*07:02:01-C*07:02:01-DRB1*13:05:01-DQB1*03:01:01Poland BMR0.0023,59552_0_N_19_22_E
52A*26:01:01-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*03:01:01Poland BMR0.0023,59552_0_N_19_22_E
53A*02:05:01-B*07:02:01-C*12:03:01-DRB1*13:19-DQB1*03:01:01Poland 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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