Allele Frequencies in World Populations

HLA » Haplotype Frequency Search

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Line Haplotype Population Frequency (%) Sample Size Location
1A*02:06-B*39:01-DRB1*14:54New Zealand Polynesians with Full Ancestry2.382142_0_S_174_0_E
2A*24:02-B*39:01-DRB1*14:54New Zealand Maori with Admixed History1.9010542_0_S_174_0_E
3A*02:06-B*39:01-DRB1*14:54New Zealand Polynesians with Admixed History1.852742_0_S_174_0_E
4A*01:01-B*39:01-DRB1*14:54New Zealand Maori with Full Ancestry1.104642_0_S_174_0_E
5A*24:02-B*39:01-DRB1*14:54New Zealand Maori with Full Ancestry1.104642_0_S_174_0_E
6A*11:01:01-B*39:01:01-C*07:02:01-DRB1*14:54:01-DQB1*03:01:01Vietnam Kinh0.9910114_5_N_108_27_E
7A*01:01-B*39:01-DRB1*14:54New Zealand Maori with Admixed History0.4810542_0_S_174_0_E
8A*02:01:01-B*39:01:01-C*07:02:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:02:01Brazil Barra Mansa Rio State Caucasian0.3140522_32_S_44_10_W
9A*68:01-B*39:01-C*07:02-DRB1*14:54-DQB1*05:03Italy pop 50.1497545_28_N_9_11_E
10A*24:02-B*39:01-DRB1*14:54Hong Kong Chinese cord blood registry0.073,89222_15_N_114_10_E
11A*11:01-B*39:01-DRB1*14:54Hong Kong Chinese cord blood registry0.063,89222_15_N_114_10_E
12A*11:01-B*39:01-C*07:02-DRB1*14:54Hong Kong Chinese BMDR0.067,59522_15_N_114_10_E
13A*24:02-B*39:01-C*07:02-DRB1*14:54Hong Kong Chinese BMDR0.067,59522_15_N_114_10_E
14A*02:06-B*39:01-C*07:02-DRB1*14:54Japan pop 160.0418,60435_41_N_139_46_E
15A*02:01-B*39:01-C*07:02-DRB1*14:54-DQB1*05:03Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria,0.034,33541_22_N_2_11_E
16A*03:01-B*39:01-C*07:02-DRB1*14:54-DQB1*05:03Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria,0.034,33541_22_N_2_11_E
17A*02:06-B*39:01-C*07:02-DRB1*14:54-DQA1*01:04-DQB1*05:02-DPA1*01:03-DPB1*06:01Japan pop 170.033,07837_36_N_138_2_E
18A*11:01:01-B*39:01:01-C*07:02:01-DRB1*14:54:01-DQB1*05:02:01China Zhejiang Han0.031,73427_2_N_118_1_E
19A*24:02:01-B*39:01:01-C*04:03:01-DRB1*14:54:01-DQB1*05:02:01China Zhejiang Han0.031,73427_2_N_118_1_E
20A*26:01-B*39:01-C*07:02-DRB1*14:54Japan pop 160.0218,60435_41_N_139_46_E
21A*24:02-B*39:01-C*12:03-DRB1*14:54-DQB1*05:03India East UCBB0.022,40322_25_N_88_18_E
22A*11:02-B*39:01-DRB1*14:54Hong Kong Chinese cord blood registry0.023,89222_15_N_114_10_E
23A*11:02-B*39:01-C*07:02-DRB1*14:54Hong Kong Chinese BMDR0.027,59522_15_N_114_10_E
24A*24:02-B*39:01-C*07:02-DRB1*14:54Japan pop 160.0218,60435_41_N_139_46_E
25A*31:01:02-B*39:01:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01Poland BMR0.0223,59552_0_N_19_22_E
26A*11:01-B*39:01-C*07:02-DRB1*14:54Japan pop 160.0118,60435_41_N_139_46_E
27A*11:01:01-B*39:01:01-C*07:02:01-DRB1*14:54:01-DPB1*05:01:01Hong Kong Chinese HKBMDR HLA 11 loci0.015,26622_25_N_114_17_E
28A*31:01:02-B*39:01:01-C*03:04:01-DRB1*14:54:01-DPB1*05:01:01Hong Kong Chinese HKBMDR HLA 11 loci0.015,26622_25_N_114_17_E
29A*02:03:01-B*39:01:01-C*07:02:01-DRB1*14:54:01-DPB1*135:01Hong Kong Chinese HKBMDR HLA 11 loci0.015,26622_25_N_114_17_E
30A*02:01-B*39:01-DRB1*14:54Hong Kong Chinese cord blood registry0.013,89222_15_N_114_10_E
31A*02:01-B*39:01-C*07:02-DRB1*14:54Hong Kong Chinese BMDR0.017,59522_15_N_114_10_E
32A*03:01-B*39:01-C*07:02-DRB1*14:54Hong Kong Chinese BMDR0.017,59522_15_N_114_10_E
33A*26:01-B*39:01-C*03:04-DRB1*14:54Japan pop 160.0118,60435_41_N_139_46_E
34A*26:02-B*39:01-C*07:02-DRB1*14:54Japan pop 160.0118,60435_41_N_139_46_E
35A*31:01-B*39:01-C*07:02-DRB1*14:54Japan pop 160.0118,60435_41_N_139_46_E
36A*11:01-B*39:01-C*12:03-DRB1*14:54-DQB1*05:03India South UCBB0.0011,44613_6_N_80_8_E
37A*02:01:01-B*39:01:01-C*07:02:01-DRB1*14:54:01-DQB1*05:03:01Poland BMR0.0023,59552_0_N_19_22_E
38A*02:01:01-B*39:01:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01Poland BMR0.0023,59552_0_N_19_22_E
39A*03:01:01-B*39:01:01-C*07:01:01-DRB1*14:54:01-DQB1*05:03:01Poland BMR0.0023,59552_0_N_19_22_E
40A*31:01:02-B*39:01:01-C*07:02:01-DRB1*14:54:01-DQB1*05:03:01Poland BMR0.0023,59552_0_N_19_22_E
41A*32:01:01-B*39:01:01-C*02:02:02-DRB1*14:54:01-DQB1*05:03:01Poland BMR0.0023,59552_0_N_19_22_E
42A*26:01:01-B*39:01:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01Poland 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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