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 3,627) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 37  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*58:01-C*07:01  Mexico Oaxaca Zapotec 22.000090
 2  B*58:01-C*03:02  Taiwan Hakka 10.900055
 3  B*58:01-C*03:02  Taiwan Minnan pop 1 8.8000102
 4  A*33:03-B*58:01-DRB1*03:01  Taiwan Tzu Chi Morrow Donor Registry 8.361046,682
 5  A*33:03-B*58:01  Taiwan Hakka 8.200055
 6  A*33:03-B*58:01  Singapore Chinese 8.0000149
 7  A*33:03-B*58:01  Taiwan Minnan pop 1 7.8000102
 8  A*33:03-B*58:01-C*03:02  China Southwest Dai 7.7000124
 9  A*33:03-B*58:01-C*03:02  China Canton Han 7.4000264
 10  B*58:01-C*03:02  USA Asian 7.2000358
 11  A*33:03-B*58:01-DRB1*03:01  Taiwan Tzu Chi Cord Blood Bank 6.6000710
 12  A*33:03-B*58:01  Hong Kong Chinese 6.4000569
 13  B*58:01-DRB1*03:01:01  Taiwan Hakka 6.400055
 14  A*33:03-B*58:01  USA Asian 6.1000358
 15  A*33:03-B*58:01-DRB1*03:01  Malaysia Patani 6.000025
 16  A*33:03-B*58:01-C*03:02  USA Asian 5.9000358
 17  A*33:03-B*58:01-C*03:02  South Korea pop 3 5.8000485
 18  B*58:01-C*03:02  USA Asian pop 2 5.54301,772
 19  A*33:03:01-B*58:01:01-C*03:02:02  South African Indian population 5.000050
 20  A*33:03-B*58:01  Taiwan Thao 5.000030
 21  B*58:01-C*03:02  Taiwan Thao 5.000030
 22  B*58:01-DRB1*03:01:01  Taiwan Thao 5.000030
 23  A*02-B*58:01-C*07  Italy Sardinia pop3 4.9000100
 24  B*58:01-C*03:02  Taiwan Siraya 4.900051
 25  B*58:01-DRB1*03:01:01  Taiwan Minnan pop 1 4.9000102
 26  A*33:03-B*58:01-C*03:02-DRB1*03:01  Hong Kong Chinese BMDR 4.64297,595
 27  A*33:03-B*58:01-C*03:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Chinese 4.600599,672
 28  A*33:03-B*58:01  USA Asian pop 2 4.53101,772
 29  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  Vietnam Kinh 4.4550101
 30  A*33:03-B*58:01-C*03:02-DRB1*03:01  China Southwest Dai 4.4000124
 31  A*33:03-B*58:01-DRB1*03:01  China Southwest Dai 4.4000124
 32  B*58:01-C*03:02-DRB1*03:01  China Southwest Dai 4.4000124
 33  B*58:01-C*07:01  Kenya Luo 4.3000265
 34  A*33:03-B*58:01-DRB1*03:01  Hong Kong Chinese cord blood registry 4.20043,892
 35  B*58:01-C*03:02  Kenya Nandi 4.2000240
 36  B*58:01-C*07:01  Kenya Nandi 4.2000240
 37  A*33:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Chinese 4.1237194
 38  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  China Zhejiang Han 4.01521,734
 39  A*01:01-B*58:01-C*07:01:01  India Mumbai Maratha 3.900091
 40  A*33:03-B*58:01-C*03:02-DRB1*03:01  Taiwan pop 2 3.9000364
 41  B*58:01-DRB1*03:01:01  Taiwan Siraya 3.900051
 42  A*33:03-B*58:01-DRB1*03:01  China Guangxi Region Maonan 3.7000108
 43  A*33:03-B*58:01-C*03:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Vietnamese 3.668143,540
 44  A*33:03-B*58:01  Taiwan Pazeh 3.600055
 45  B*58:01-C*03:02  Taiwan Pazeh 3.600055
 46  B*58:01-DRB1*03:01:01  Taiwan Pazeh 3.600055
 47  B*58:01-DRB1*13:02  Taiwan Hakka 3.600055
 48  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Vietnam Hanoi Kinh pop 2 3.5000170
 49  B*58:01-C*07:01  Tunisia 3.5000100
 50  A*33:03-B*58:01-DRB1*03:01  Malaysia Champa 3.448329
 51  B*58:01-DRB1*13:02  Taiwan Minnan pop 1 3.4000102
 52  B*58:01-C*03:02-DRB1*13:02  South Korea pop 3 3.3000485
 53  B*58:01-DRB1*13:02-DQB1*06:09  South Korea pop 3 3.3000485
 54  B*58:01-C*07:01  USA African American 3.2000252
 55  A*30-B*58:01-C*07  France Corsica Island 3.0000100
 56  A*33:03-B*58:01-C*03:02-DRB1*03:01  China Yunnan Province Han 3.0000101
 57  A*33:03-B*58:01-C*03:02-DRB1*13:02  China Yunnan Province Han 3.0000101
 58  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  South Korea pop 3 3.0000485
 59  A*33:03-B*58:01-DRB1*13:02  South Korea pop 3 3.0000485
 60  A*33:03-B*58:01-DRB1*13:02  South Korea pop 10 3.00004,128
 61  A*33:03-B*58:01  Taiwan Siraya 2.900051
 62  A*33:03-B*58:01-C*03:02-DRB1*03:01  Iran Baloch 2.9000100
 63  A*33:03-B*58:01-DRB1*03:01-DPB1*04:01  China Canton Han 2.8000264
 64  A*33:03-B*58:01-DRB1*03:01  China Jiangsu Province Han 2.7900334
 65  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP Korean 2.716577,584
 66  A*33:01-B*58:01-C*07:02  China Guizhou Province Bouyei 2.7000109
 67  A*33:03-B*58:01-DRB1*03:01  China Jiangsu Han 2.59003,238
 68  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 2.56105,266
 69  A*01:01-B*58:01  Oman 2.5000118
 70  A*23:01-B*58:01  South Africa Natal Zulu 2.5000100
 71  A*24:02-B*58:01-DRB1*03:01-DQB1*02:01  Iran Kurd pop 2 2.500060
 72  A*02:05:01-B*58:01:01-C*07:18-DRB1*11:02:01-DQB1*03:19:01-DPB1*13:01:01  South African Black 2.4650142
 73  A*33:03-B*58:01-C*03:02-DRB1*13:02  China Southwest Dai 2.4000124
 74  A*33:03-B*58:01-DRB1*13:02  China Southwest Dai 2.4000124
 75  B*58:01-C*03:02-DRB1*13:02  China Southwest Dai 2.4000124
 76  B*58:01-C*07:18  Uganda Kampala pop 2 2.3000175
 77  A*33:03-B*58:01-C*03:02-DRB1*03:01  Germany DKMS - China minority 2.22101,282
 78  B*58:01-C*07:01  USA African American pop 4 2.21602,411
 79  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  USA Asian pop 2 2.21401,772
 80  A*02:05-B*58:01  USA African American 2.2000252
 81  B*58:01-C*03:02  USA African American 2.2000252
 82  B*58:01-C*07:01  Uganda Kampala 2.2000161
 83  B*58:01-DRB1*03:01-DQB1*02:01/02:02  South Korea pop 3 2.2000485
 84  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  India Andhra Pradesh Telugu Speaking 2.1050186
 85  A*33:03-B*58:01-C*03:02-DRB1*13:02  Taiwan pop 2 2.1000364
 86  B*58:01-C*03:02-DRB1*03:01  South Korea pop 3 2.1000485
 87  A*01:01-B*58:01  Tunisia 2.0000100
 88  A*11:01-B*58:01-DRB1*12:02  Malaysia Patani 2.000025
 89  A*24:94-B*58:01-DRB1*13:01  Malaysia Patani 2.000025
 90  A*33:03-B*58:01-C*03:02-DRB1*15:04  China Yunnan Hani 2.0000150
 91  A*33:03-B*58:01-DRB1*03:01  South Korea pop 3 2.0000485
 92  B*58:01-C*03:02  Uganda Kampala pop 2 2.0000175
 93  B*58:01-DRB1*13:02  Taiwan Siraya 2.000051
 94  A*33:03-B*58:01-C*03:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Filipino 1.950950,614
 95  A*02:05-B*58:01  Uganda Kampala 1.9000161
 96  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01/02:02  South Korea pop 3 1.9000485
 97  A*68:02-B*58:01  Kenya Nandi 1.9000240
 98  B*58:01-C*07:01  Mali Bandiagara 1.9000138
 99  A*24:02-B*58:01-DRB1*12:02  Malaysia Mandailing 1.851927
 100  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Chinese 1.8041194

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 3,627) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 37  


   

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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