Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 4,596) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 46  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*52:01-C*12:02  Japan pop 5 10.7000117
 2  B*52:01-C*12:02  Japan Central 10.5000371
 3  B*52:01:01-C*07:02:01  China Jingpo Minority 10.2940105
 4  B*52:01:01-DRB1*12:02:01  China Jingpo Minority 8.8540105
 5  B*52:01-C*16:01  Mali Bandiagara 8.5000138
 6  A*24:02-B*52:01-C*12:02-DRB1*15:02  Japan pop 16 8.377018,604
 7  A*11:01:01-B*52:01:01-C*07:02:01  China Jingpo Minority 8.1720105
 8  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Japanese 7.823424,582
 9  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 7.32003,078
 10  A*11:01-B*52:01-C*07:02-DRB1*14:04  China Yunnan Hani 7.3000150
 11  B*52:01:01-C*07:02:01-DRB1*12:02:01  China Jingpo Minority 7.2920105
 12  A*11:01:01-B*52:01:01  China Jingpo Minority 7.0360105
 13  A*02:03:01-B*52:01:01-C*07:02:01-DRB1*14:04-DQB1*05:03:01-DPB1*04:02  China Yunnan Province Lisu 6.7000111
 14  A*11:01:01-B*52:01:01-DRB1*12:02:01  China Jingpo Minority 6.4200105
 15  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*09:01  Japan Central 6.2000371
 16  A*11:01:01-B*52:01:01-C*07:02:01-DRB1*12:02:01  China Jingpo Minority 5.9890105
 17  A*02:04-B*52:01:02-C*15:03-DRB1*08:07-DQA1*04:01-DQB1*04:02-DPA1*02-DPB1*14:01  Venezuela Sierra de Perija Yucpa 5.800073
 18  A*31-B*52:01:02-C*15:03-DRB1*08:07-DQA1*04:01-DQB1*04:02-DPA1*02-DPB1*14:01  Venezuela Sierra de Perija Yucpa 5.800073
 19  A*23:01-B*52:01-C*16:01  Mali Bandiagara 5.0000138
 20  B*52:01-C*03:03  Mexico Oaxaca Zapotec 4.400090
 21  A*11:01-B*52:01-C*07:02-DRB1*12:02  China Yunnan Hani 4.0000150
 22  A*23:01-B*52:01  Mali Bandiagara 4.0000138
 23  B*52:01-C*03:03  Mexico Oaxaca Mixe 3.900055
 24  A*01:01-B*52:01-DRB1*13:03  Israel Iran Jews 3.53008,153
 25  B*52:01-C*12:02  USA Asian pop 2 3.35401,772
 26  A*02:01-B*52:01-C*07:02-DRB1*14:04  China Yunnan Hani 2.9000150
 27  A*01:01-B*52:01-C*12:02-DRB1*15:02  Russia Bering Island Aleuts 2.8846104
 28  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01  United Arab Emirates Abu Dhabi 2.880052
 29  A*02:01:01-B*52:01:01-DRB1*15:02:01  Bulgaria 2.700055
 30  A*11:01-B*52:01-DRB1*15:01-DQB1*06:01  Iran Yazd 2.678656
 31  A*31:01-B*52:01-C*15:02-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Puyanawa 2.6667150
 32  A*24:02-B*52:01-DRB1*15:02-DQB1*06:01  Tunisia Gabes 2.630095
 33  A*02:03:01-B*52:01:01-C*07:02:01-DRB1*14:04-DQB1*03:01:01-DPB1*04:02  China Yunnan Province Nu 2.6000107
 34  A*11:03-B*52:01:01-C*07:02:01-DRB1*11:06-DQB1*03:01:01-DPB1*02:01:02  China Yunnan Province Nu 2.6000107
 35  A*11:01:01-B*52:01:01:01-DRB1*15:02:01  Libya Cyrenaica 2.5400118
 36  A*24:02-B*52:01-DRB1*15:01-DQB1*06:01  Iran Kurd pop 2 2.500060
 37  A*24:02-B*52:01-DRB1*15:01-DQB1*06:01  Iran Saqqez-Baneh Kurds 2.500060
 38  B*52:01-C*03:03  Mexico Mexico City Mestizo population 2.4476143
 39  A*02:01-B*52:01  Mexico Mestizo 2.400041
 40  B*52:01-C*12:02-DRB1*15:02  South Korea pop 3 2.4000485
 41  B*52:01-DRB1*15:02-DQB1*06:01  South Korea pop 3 2.4000485
 42  A*24:02-B*52:01-C*12:02  South Korea pop 3 2.1000485
 43  A*24:02-B*52:01-DRB1*15:02  South Korea pop 10 2.10004,128
 44  A*03:01-B*52:01-DRB1*12:02  Malaysia Patani 2.000025
 45  A*24:02:01-B*52:01:01-C*12:02:02  South African Indian population 2.000050
 46  A*24:02-B*52:01-DRB1*15:01  Malaysia Patani 2.000025
 47  A*33:03-B*52:01-DRB1*07:01  Malaysia Patani 2.000025
 48  A*68:01-B*52:01-DRB1*15:01  Malaysia Patani 2.000025
 49  B*52:01-C*12:02  Tunisia 2.0000100
 50  A*03:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01  United Arab Emirates Abu Dhabi 1.920052
 51  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  South Korea pop 3 1.9000485
 52  A*24:02-B*52:01-DRB1*15:02  South Korea pop 3 1.9000485
 53  B*52:01-C*12:02  USA Hispanic 1.9000234
 54  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Korean 1.869677,584
 55  A*32:01-B*52:01-DRB1*15:02  Israel Morocco Jews 1.850036,718
 56  A*01:01-B*52:01  Mexico Mestizo 1.800041
 57  A*26:01-B*52:01-DRB1*15:02  Israel Druze 1.77005,914
 58  B*52:01-C*03:03-DRB1*14:06-DQB1*03:01  Mexico Mexico City Mestizo population 1.7483143
 59  A*02:02-B*52:01-DRB1*15:02  Israel Druze 1.74005,914
 60  A*33:03-B*52:01-DRB1*08:12  Malaysia Champa 1.724129
 61  A*02:03:01-B*52:01:01-C*07:02:01-DRB1*14:04-DQB1*03:01:01-DPB1*04:02  China Yunnan Province Lisu 1.7000111
 62  A*24-B*52:01:01-C*07:02:01-DRB1*12:02:01-DQB1*03:01:01-DPB1*28:01  China Yunnan Province Nu 1.7000107
 63  A*24-B*52:01:01-C*07:02:01-DRB1*12:02:01-DQB1*03:01:01-DPB1*28:01  China Yunnan Province Lisu 1.7000111
 64  A*01:01-B*52:01-DRB1*15:02  Israel Libya Jews 1.65003,739
 65  A*02:11:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 1.6129186
 66  A*01:01-B*52:01-DRB1*15:02  Israel Tunisia Jews 1.61009,070
 67  B*52:01:01-C*12:02:01-DRB1*12:02:01  China Jingpo Minority 1.5620105
 68  A*02:01-B*52:01-DRB1*08:02  Mexico Oaxaca Jamiltepec Mixtec 1.560096
 69  A*01:01-B*52:01-DRB1*15:02  Israel Druze 1.55005,914
 70  A*01:01-B*52:01-DRB1*15:02  Israel Arab pop 2 1.510012,301
 71  A*02:01:01-B*52:01:02  Mexico Guadalajara Mestizo pop 2 1.5000103
 72  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*05:01  Japan Central 1.5000371
 73  B*52:01-C*03:03  USA Hispanic 1.5000234
 74  B*52:01-C*12:02  USA Asian 1.5000358
 75  B*52:01:01-C*12:02:01  China Jingpo Minority 1.4710105
 76  A*02:01:01-B*52:01:02-C*15:02:01-DRB1*04:04:01-DQB1*03:02:01-DPA1*03:01:01-DPB1*03:01:01  Brazil Rio de Janeiro Black 1.470668
 77  A*24:02:01-B*52:01:01  China Jingpo Minority 1.4240105
 78  A*02:01-B*52:01  Oman 1.4000118
 79  B*52:01-C*16:01  USA African American 1.4000252
 80  A*02:01-B*52:01-C*03:03-DRB1*14:06-DQB1*03:01  Mexico Mexico City Mestizo population 1.3986143
 81  A*26:01-B*52:01-DRB1*04:04  Israel Bukhara Jews 1.34002,317
 82  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 1.3250186
 83  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*09:01  USA San Diego 1.3020496
 84  A*01:01-B*52:01-DRB1*15:02  Azores Oriental Islands 1.300043
 85  A*01:01-B*52:01-DRB1*01:01  Gaza 1.282042
 86  A*01:01-B*52:01-DRB1*03:01  Gaza 1.282042
 87  A*03:01-B*52:01-DRB1*15:02  Gaza 1.282042
 88  B*52:01-C*03:03  Mexico Mexico City Mestizo pop 2 1.2800234
 89  A*11:01-B*52:01-DRB1*15:02  Israel Argentina Jews 1.27004,307
 90  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 1.256511,446
 91  A*33:03:01-B*52:01:01  China Jingpo Minority 1.2520105
 92  B*52:01-C*12:02  USA Hispanic pop 2 1.22901,999
 93  B*52:01-C*16:01  USA African American pop 4 1.22602,411
 94  A*11:01-B*52:01-DRB1*15:02  Israel Poland Jews 1.210013,871
 95  A*01-B*52:01:01-DRB1*15:02-DQB1*06:01  Tunisia Ghannouch 1.200082
 96  A*03:01-B*52:01  USA Hispanic 1.2000234
 97  A*68:01-B*52:01:02-C*15:03-DRB1*08:07-DQA1*04:01-DQB1*04:02-DPA1*02-DPB1*14:01  Venezuela Sierra de Perija Yucpa 1.200073
 98  A*24:02:01-B*52:01:01-C*12:02-DRB1*04:03:01  South Africa Caucasians 1.1100102
 99  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 1.1070271
 100  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India East UCBB 1.09952,403

Notes:

* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
   Important: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).


Displaying 1 to 100 (from 4,596) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 46  


   

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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