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 2,644) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 27  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*33:03-B*44:03-C*14:03  Japan pop 5 10.7000117
 2  A*33:03-B*58:01-DRB1*03:01  Taiwan Tzu Chi Morrow Donor Registry 8.361046,682
 3  A*33:03-C*03:02  Taiwan Minnan pop 1 8.3000102
 4  A*33:03-B*58:01  Taiwan Hakka 8.200055
 5  A*33:03-C*03:02  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  A*33:03-B*58:01-DRB1*03:01  Taiwan Tzu Chi Cord Blood Bank 6.6000710
 11  A*33:03-B*58:01  Hong Kong Chinese 6.4000569
 12  A*33:03-B*58:01  USA Asian 6.1000358
 13  A*33:03-B*58:01-DRB1*03:01  Malaysia Patani 6.000025
 14  A*33:03-B*58:01-C*03:02  USA Asian 5.9000358
 15  A*33:03-B*58:01-C*03:02  South Korea pop 3 5.8000485
 16  A*33:03-B*44:03-DRB1*07:01  Malaysia Kelantan 5.357128
 17  A*33:03-B*44:06-C*15:02:01  India Mumbai Maratha 5.100091
 18  A*33:03:01-B*44:03:02-C*07:06  South African Indian population 5.000050
 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  A*33:03-C*03:02  Taiwan Thao 5.000030
 22  A*33:03-B*53:01  Cuba Mixed Race 4.800042
 23  A*33:03-B*44:03-C*14:03  South Korea pop 3 4.7000485
 24  A*33:03-B*58:01-C*03:02-DRB1*03:01  Hong Kong Chinese BMDR 4.64297,595
 25  A*33:03-B*58:01-C*03:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Chinese 4.600599,672
 26  A*33:03-B*35:03-DRB1*13:01  China Yunnan Province Wa 4.6000119
 27  A*33:03-B*44:03-DRB1*13:02  South Korea pop 3 4.6000485
 28  A*33:03-B*44:03-DRB1*13:02  South Korea pop 10 4.60004,128
 29  A*33:03-B*58:01  USA Asian pop 2 4.53101,772
 30  A*33:03-B*44:03-C*14:03-DRB1*13:02  Japan pop 16 4.473018,604
 31  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  Vietnam Kinh 4.4550101
 32  A*33:03-B*58:01-C*03:02-DRB1*03:01  China Southwest Dai 4.4000124
 33  A*33:03-B*58:01-DRB1*03:01  China Southwest Dai 4.4000124
 34  A*33:03:01-C*07:01:01  China Jingpo Minority 4.3600105
 35  A*33:03-B*58:01-DRB1*03:01  Hong Kong Chinese cord blood registry 4.20043,892
 36  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04  South Korea pop 3 4.2000485
 37  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
 38  A*33:03-B*40:01-DRB1*15:02  Malaysia Patani 4.000025
 39  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Japanese 3.926724,582
 40  A*33:03-B*58:01-C*03:02-DRB1*03:01  Taiwan pop 2 3.9000364
 41  A*33:03-B*58:01-DRB1*03:01  China Guangxi Region Maonan 3.7000108
 42  A*33:03-B*58:01-C*03:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Vietnamese 3.668143,540
 43  A*33:03-B*44:03  USA Asian 3.6000358
 44  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04-DPB1*04:01  Japan Central 3.6000371
 45  A*33:03-B*58:01  Taiwan Pazeh 3.600055
 46  A*33:03-C*03:02  Taiwan Pazeh 3.600055
 47  A*33:03-B*18:01-DRB1*07:01  Malaysia Kelantan 3.571428
 48  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Vietnam Hanoi Kinh pop 2 3.5000170
 49  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Korean 3.491577,584
 50  A*33:03:01-B*44:03:02  China Jingpo Minority 3.4650105
 51  A*33:03:01-B*44:03:02-C*07:01:01  China Jingpo Minority 3.4650105
 52  A*33:03-B*44:03-DRB1*07:01  Malaysia Champa 3.448329
 53  A*33:03-B*58:01-DRB1*03:01  Malaysia Champa 3.448329
 54  A*33:03-B*14:05-C*05:09  India West Coast Parsi 3.300050
 55  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*04:01  Japan pop 17 3.13003,078
 56  A*33:03-B*18:01-DRB1*12:01  Sao Tome Island Angolar 3.100032
 57  A*33:03-B*44:03-C*07:01/07:06  South Korea pop 3 3.1000485
 58  A*33:03-B*44:03-C*07:01/07:06-DRB1*07:01-DQB1*02:01/02:02  South Korea pop 3 3.0000485
 59  A*33:03-B*58:01-C*03:02-DRB1*03:01  China Yunnan Province Han 3.0000101
 60  A*33:03-B*58:01-C*03:02-DRB1*13:02  China Yunnan Province Han 3.0000101
 61  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  South Korea pop 3 3.0000485
 62  A*33:03-B*58:01-DRB1*13:02  South Korea pop 3 3.0000485
 63  A*33:03-B*58:01-DRB1*13:02  South Korea pop 10 3.00004,128
 64  A*33:03-B*44:03  USA Asian pop 2 2.93801,772
 65  A*33:03-B*44:03-DRB1*07:01  South Korea pop 3 2.9000485
 66  A*33:03-B*58:01  Taiwan Siraya 2.900051
 67  A*33:03-B*58:01-C*03:02-DRB1*03:01  Iran Baloch 2.9000100
 68  A*33:03-C*03:02  Taiwan Siraya 2.900051
 69  A*33:03-B*58:01-DRB1*03:01-DPB1*04:01  China Canton Han 2.8000264
 70  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP South Asian Indian 2.7980185,391
 71  A*33:03-B*58:01-DRB1*03:01  China Jiangsu Province Han 2.7900334
 72  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP Korean 2.716577,584
 73  A*33:03-B*78:01-C*16:01  Mali Bandiagara 2.7000138
 74  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  Vietnam Hanoi Kinh pop 2 2.6000170
 75  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Korean 2.596977,584
 76  A*33:03-B*58:01-DRB1*03:01  China Jiangsu Han 2.59003,238
 77  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India UCBB_Central Indian HLA 2.58154,204
 78  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
 79  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Southeast Asian 2.512727,978
 80  A*33:03-B*44:03-DRB1*07:01  South Korea pop 10 2.46004,128
 81  A*33:03-B*58:01-C*03:02-DRB1*13:02  China Southwest Dai 2.4000124
 82  A*33:03-B*58:01-DRB1*13:02  China Southwest Dai 2.4000124
 83  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 2.30612,492
 84  A*33:03-B*58:01-C*03:02-DRB1*03:01  Germany DKMS - China minority 2.22101,282
 85  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  USA Asian pop 2 2.21401,772
 86  A*33:03-B*44:03-DRB1*13:02  China Jiangsu Han 2.14003,238
 87  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
 88  A*33:03-B*44:03-C*14:03  USA Asian 2.1000358
 89  A*33:03-B*58:01-C*03:02-DRB1*13:02  Taiwan pop 2 2.1000364
 90  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01  China Jingpo Minority 2.0830105
 91  A*33:03:01-B*44:03:02-DRB1*07:01:01  China Jingpo Minority 2.0830105
 92  A*33:03:01-C*07:01:01-DRB1*07:01:01  China Jingpo Minority 2.0620105
 93  A*33:03:01-B*40:01:02-C*12:03:01  South African Indian population 2.000050
 94  A*33:03-B*15:02-DRB1*12:02  Malaysia Patani 2.000025
 95  A*33:03-B*18:01-DRB1*10:01  Malaysia Patani 2.000025
 96  A*33:03-B*52:01-DRB1*07:01  Malaysia Patani 2.000025
 97  A*33:03-B*56:04-DRB1*04:01  Malaysia Patani 2.000025
 98  A*33:03-B*58:01-C*03:02-DRB1*15:04  China Yunnan Hani 2.0000150
 99  A*33:03-B*58:01-DRB1*03:01  South Korea pop 3 2.0000485
 100  A*33:03-B*58:01-C*03:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Filipino 1.950950,614

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 2,644) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 27  


   

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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