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 5,824) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 59  

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  B*52-C*12  Pakistan Mixed Sindhi 7.0000101
 14  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
 15  A*11-B*52  Mongolia Tarialan Khoton 6.500085
 16  A*11:01:01-B*52:01:01-DRB1*12:02:01  China Jingpo Minority 6.4200105
 17  A*24-B*52-C*12  Brazil Parana Japanese 6.3800192
 18  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*09:01  Japan Central 6.2000371
 19  A*11:01:01-B*52:01:01-C*07:02:01-DRB1*12:02:01  China Jingpo Minority 5.9890105
 20  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
 21  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
 22  A*01-B*52-DRB1*15-DQB1*06  Mexico Jalisco, Tonala 5.714335
 23  A*11-B*52-DRB1*15  Iraq Erbil 5.6000372
 24  B*52-C*12  Pakistan Burusho 5.600092
 25  A*11-B*52-C*07-DRB1*15  Myanmar Rakhine 5.208048
 26  A*23:01-B*52:01-C*16:01  Mali Bandiagara 5.0000138
 27  A*24-B*52-DRB1*15  Brazil Parana Oriental 4.500033
 28  A*24-B*52-C*12  Malaysia Perak Rawa 4.400023
 29  B*52:01-C*03:03  Mexico Oaxaca Zapotec 4.400090
 30  A*11:01-B*52:01-C*07:02-DRB1*12:02  China Yunnan Hani 4.0000150
 31  A*23:01-B*52:01  Mali Bandiagara 4.0000138
 32  B*52:01-C*03:03  Mexico Oaxaca Mixe 3.900055
 33  A*02-B*52-DRB1*04:11-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 3.770053
 34  A*02-B*52-DRB1*04:11-DQB1*03:02  Mexico Huasteca Region Teenek 3.700055
 35  B*52-DRB1*15  Georgia Kurds 3.600030
 36  A*01:01-B*52:01-DRB1*13:03  Israel Iran Jews 3.53008,153
 37  A*11-B*52  Pakistan Mixed Sindhi 3.5000101
 38  B*52:01-C*12:02  USA Asian pop 2 3.35401,772
 39  A*11-B*52-C*12  Pakistan Mixed Sindhi 3.3000101
 40  A*11-B*52-C*12  Pakistan Karachi Parsi 3.300091
 41  A*11-B*52-DRB1*15  Pakistan Karachi Parsi 3.300091
 42  A*11-B*52-C*07-DRB1*12  Myanmar Kachin 3.175063
 43  A*11-B*52-C*07-DRB1*09  Myanmar Rakhine 3.125048
 44  A*11-B*52-C*07-DRB1*15  Myanmar Kachin 3.088063
 45  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Campeche, Campeche city 2.941234
 46  A*68-B*52-DRB1*14-DQB1*03:01  Mexico Mexico City West 2.941233
 47  A*02:01-B*52:01-C*07:02-DRB1*14:04  China Yunnan Hani 2.9000150
 48  A*24-B*52-C*07-DRB1*04  Myanmar Kayin 2.894044
 49  A*01:01-B*52:01-C*12:02-DRB1*15:02  Russia Bering Island Aleuts 2.8846104
 50  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Mexico City South 2.884652
 51  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
 52  A*11-B*52-C*07-DRB1*14  Myanmar Chin 2.727055
 53  A*02:01:01-B*52:01:01-DRB1*15:02:01  Bulgaria 2.700055
 54  A*11:01-B*52:01-DRB1*15:01-DQB1*06:01  Iran Yazd 2.678656
 55  A*31:01-B*52:01-C*15:02-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Puyanawa 2.6667150
 56  A*01-B*52-C*12-DRB1*15  Macedonia MBMDR - Macedonian Muslims 2.631676
 57  A*24:02-B*52:01-DRB1*15:02-DQB1*06:01  Tunisia Gabes 2.630095
 58  A*01-B*52-C*12-DRB1*15/16-DQB1*06  Spain Majorcans Jews 2.6000103
 59  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
 60  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
 61  A*11-B*52-C*12-DRB1*15  Iran pop 4 2.6000855
 62  A*01-B*52-DRB1*15-DQB1*06  Mexico Jalisco, Tlaquepaque 2.564139
 63  A*02-B*52-DRB1*14-DQB1*03:01  Mexico Jalisco, Tlaquepaque 2.564139
 64  A*11:01:01-B*52:01:01:01-DRB1*15:02:01  Libya Cyrenaica 2.5400118
 65  A*24:02-B*52:01-DRB1*15:01-DQB1*06:01  Iran Kurd pop 2 2.500060
 66  A*24:02-B*52:01-DRB1*15:01-DQB1*06:01  Iran Saqqez-Baneh Kurds 2.500060
 67  B*52:01-C*03:03  Mexico Mexico City Mestizo population 2.4476143
 68  A*02:01-B*52:01  Mexico Mestizo 2.400041
 69  B*52:01-C*12:02-DRB1*15:02  South Korea pop 3 2.4000485
 70  B*52:01-DRB1*15:02-DQB1*06:01  South Korea pop 3 2.4000485
 71  A*24-B*52-C*07-DRB1*11  Myanmar Mon 2.344064
 72  A*02-B*52-DRB1*07-DQB1*02  Mexico Colima Rural 2.272743
 73  A*68-B*52-DRB1*04-DQB1*03:02  Mexico Queretaro, Queretaro city 2.222245
 74  A*02-B*52-DRB1*04-DQB1*03:02  Mexico Tamaulipas, Ciudad Victoria 2.173923
 75  A*24:02-B*52:01-C*12:02  South Korea pop 3 2.1000485
 76  A*24:02-B*52:01-DRB1*15:02  South Korea pop 10 2.10004,128
 77  A*24-B*52-C*07-DRB1*11  Myanmar Rakhine 2.083048
 78  A*26-B*52-DRB1*15-DQB1*06  Mexico Sonora, Hermosillo 2.020299
 79  A*01-B*52-C*12  Italy East Sicily 2.000050
 80  A*03:01-B*52:01-DRB1*12:02  Malaysia Patani 2.000025
 81  A*11-B*52-C*12  England London Ashkenazi Jews 2.0000500
 82  A*11-B*52-DRB1*15-DQB1*06  Mexico Baja California, Tijuana 2.000025
 83  A*24:02:01-B*52:01:01-C*12:02:02  South African Indian population 2.000050
 84  A*24:02-B*52:01-DRB1*15:01  Malaysia Patani 2.000025
 85  A*24-B*52-DRB1*04-DQB1*03:02  Mexico Baja California Rural 2.000050
 86  A*24-B*52-DRB1*11:05  Malaysia Sarawak Iban 2.000051
 87  A*24-B*52-DRB1*15:01  Malaysia Sarawak Iban 2.000051
 88  A*31-B*52-DRB1*14-DQB1*03:01  Mexico Baja California, Tijuana 2.000025
 89  A*33:03-B*52:01-DRB1*07:01  Malaysia Patani 2.000025
 90  A*68:01-B*52:01-DRB1*15:01  Malaysia Patani 2.000025
 91  B*52:01-C*12:02  Tunisia 2.0000100
 92  A*02-B*52-DRB1*14-DQB1*03:01  Mexico Guanajuato, Leon 1.923178
 93  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
 94  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  South Korea pop 3 1.9000485
 95  A*24:02-B*52:01-DRB1*15:02  South Korea pop 3 1.9000485
 96  B*52:01-C*12:02  USA Hispanic 1.9000234
 97  B*52-DRB1*15  Russia South Ural Russian 1.9000207
 98  A*02-B*52-DRB1*08-DQB1*04  Mexico Veracruz, Xalapa 1.8717187
 99  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Korean 1.869677,584
 100  A*24-B*52-C*07-DRB1*04  Myanmar Shan 1.852054

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 5,824) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 59  


   

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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