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 : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 1,021) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 11  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:07-B*46:01-C*01:02  China Southwest Dai 15.2000124
 2  B*46:01-C*01:02  Taiwan Minnan pop 1 13.7000102
 3  B*46:01-C*01:02  Taiwan Hakka 13.600055
 4  A*02:07-B*46:01-C*01:02-DRB1*09:01  China Yunnan Province Han 10.5000101
 5  B*46:01-C*01:02-DRB1*09:01  China Southwest Dai 9.2000124
 6  B*46:01-C*01:02  Taiwan Pazeh 8.200055
 7  A*02:07-B*46:01-C*01:02-DRB1*14:01  China Yunnan Hani 7.7000150
 8  B*46:01-C*01:02-DRB1*14:01  China Southwest Dai 6.9000124
 9  A*02:07-B*46:01-C*01:02  China Canton Han 6.5000264
 10  B*46:01-C*01:02  USA Asian 6.3000358
 11  A*02:07-B*46:01-C*01:02  China Guizhou Province Miao pop 2 6.000085
 12  A*02:07-B*46:01-C*01:02-DRB1*09:01  China Southwest Dai 6.0000124
 13  B*46:01-C*01:02  USA Asian pop 2 5.79701,772
 14  A*02:07-B*46:01-C*01:02-DRB1*14:01  China Southwest Dai 5.6000124
 15  A*11:01-B*46:01-C*01:02  China Southwest Dai 5.5000124
 16  A*02:07-B*46:01-C*01:02-DRB1*09:01  Taiwan pop 2 5.3000364
 17  B*46:01:01-C*01:02:01  China Jingpo Minority 4.9020105
 18  A*02:07-B*46:01-C*01:02  China Guizhou Province Bouyei 4.9000109
 19  A*11:01-B*46:01-C*01:02-DRB1*14:01  China Yunnan Hani 4.9000150
 20  A*02:07-B*46:01-C*01:02  USA Asian 4.1000358
 21  A*02:01-B*46:01-C*01:02-DRB1*09:01  Hong Kong Chinese BMDR 4.08207,595
 22  A*02:07-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Chinese 3.974199,672
 23  A*02-B*46-C*01  Brazil Parana Japanese 3.9700192
 24  A*11:01-B*46:01-C*01:02  China Guizhou Province Miao pop 2 3.600085
 25  B*46:01-C*01:02-DRB1*16:02  China Southwest Dai 3.6000124
 26  A*02:07-B*46:01-C*01:02-DRB1*09:01  Germany DKMS - China minority 3.41801,282
 27  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 3.37431,734
 28  B*46:01-C*01:02  Japan Central 3.2000371
 29  A*02:07-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Vietnamese 3.132643,540
 30  A*02:03-B*46:01-C*01:02  China Southwest Dai 3.1000124
 31  A*11:01-B*46:01-C*01:02  China Canton Han 2.9000264
 32  B*46:01-C*01:02  Taiwan Siraya 2.900051
 33  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 2.8540101
 34  A*02:07-B*46:01-C*01:02  China Guizhou Province Shui 2.8000153
 35  A*02-B*46-C*01-DRB1*09  Myanmar Shan 2.778054
 36  A*02:07-B*46:01-C*01:02  Japan pop 5 2.7000117
 37  B*46:01:01-C*01:02:01-DRB1*09:01:02  China Jingpo Minority 2.6040105
 38  A*02:07-B*46:01-C*01:02:01-DRB1*08:03:02-DQB1*06:01:01-DPB1*02:02  China Yunnan Province Nu 2.6000107
 39  A*02-B*46-C*01  South Korea pop 1 2.6000324
 40  B*46:01-C*01:02-DRB1*08:03  South Korea pop 3 2.6000485
 41  A*02:01-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 2.5440194
 42  A*11:01-B*46:01-C*01:02  China Guizhou Province Shui 2.4000153
 43  A*02-B*46-C*01-DRB1*15  Myanmar Mon 2.344064
 44  A*02:07-B*46:01-C*01:02  South Korea pop 3 2.2000485
 45  A*11:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 2.0960101
 46  A*02:03:01-B*46:01-C*01:02  China Guizhou Province Shui 2.0000153
 47  A*02:07-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Vietnam Hanoi Kinh pop 2 2.0000170
 48  A*02:07-B*46:01-C*01:02-DRB1*14:01  China Yunnan Province Han 2.0000101
 49  B*46:01-C*01:02-DRB1*15:01  China Southwest Dai 2.0000124
 50  A*02:07-B*46:01:01-C*01:02:01  China Jingpo Minority 1.9800105
 51  A*02:07-B*46:01-C*01:02-DRB1*08:03  Japan pop 16 1.866018,604
 52  A*02-B*46-C*01-DRB1*15  Myanmar Shan 1.852054
 53  A*02:07-B*46:01-C*01:02-DRB1*12:02-DQB1*03:01  Vietnam Hanoi Kinh pop 2 1.8000170
 54  A*11:01-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Vietnam Hanoi Kinh pop 2 1.8000170
 55  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 1.71385,266
 56  A*02:07-B*46:01-C*01:02:01-DRB1*08:03:02-DQB1*06:01:01-DPB1*04:02  China Yunnan Province Nu 1.7000107
 57  B*46:01-C*01:02  Taiwan Thao 1.700030
 58  A*02:01-B*46:01-C*01:02-DRB1*08:03  Taiwan pop 2 1.6000364
 59  A*24:02-B*46:01-C*01:02  China Guizhou Province Shui 1.6000153
 60  A*02-B*46-C*01-DRB1*09  Myanmar Mon 1.562064
 61  A*11:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02  China Jingpo Minority 1.5620105
 62  A*11:01-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 1.5464194
 63  A*02:07-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 1.54401,772
 64  A*24:02-B*46:01-C*01:02-DRB1*12:02-DQB1*03:01  Vietnam Hanoi Kinh pop 2 1.5000170
 65  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 1.35081,734
 66  A*02:07-B*46:01-C*01:02-DRB1*08:03-DRBX*NNNN-DQB1*06:01  USA NMDP Korean 1.325677,584
 67  A*11:01-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Chinese 1.225299,672
 68  A*02:07-B*46:01-C*01:02-DRB1*08:03-DRBX*NNNN-DQB1*06:01  USA NMDP Japanese 1.208924,582
 69  A*24:02-B*46:01-C*01:02  China Guizhou Province Miao pop 2 1.200085
 70  A*02:01-B*46:01-C*01:02  China Canton Han 1.1000264
 71  A*24:02-B*46:01-C*01:02-DRB1*09:01  Taiwan pop 2 1.1000364
 72  A*11:01-B*46:01-C*01:02-DRB1*09:01  Hong Kong Chinese BMDR 1.09807,595
 73  A*02:03:01-B*46:01:01-C*01:02:01-DRB1*14:01:01  China Jingpo Minority 1.0420105
 74  B*46:01:01-C*01:02:01-DRB1*11:01:01  China Jingpo Minority 1.0420105
 75  A*11:01-B*46:01-C*01:02-DRB1*08:03-DQB1*06:01  Malaysia Peninsular Chinese 1.0309194
 76  A*02:07-B*46:01-C*01:02-DRB1*14:54  Taiwan pop 2 1.0000364
 77  B*46:01-C*01:02-DRB1*09:01  South Korea pop 3 1.0000485
 78  A*02-B*46-C*01-DRB1*12  Macedonia MBMDR - Macedonian Muslims 0.995176
 79  A*02:03:01-B*46:01:01-C*01:02:01  China Jingpo Minority 0.9900105
 80  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*12:02:01-DQB1*03:01:01  Vietnam Kinh 0.9900101
 81  A*26:01:01-B*46:01:01-C*01:02:01  China Jingpo Minority 0.9900105
 82  A*24-B*46-C*01  Brazil Parana Japanese 0.9700192
 83  A*02-B*46-C*01-DRB1*14  Myanmar Shan 0.926054
 84  A*24-B*46-C*01-DRB1*09  Myanmar Shan 0.926054
 85  A*02:07-B*46:01-C*01:02-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*02:02  Japan pop 17 0.91003,078
 86  A*11-B*46-C*01-DRB1*14  Myanmar Kayah 0.909055
 87  A*02:07-B*46:01-C*01:02-DRB1*08:03  Germany DKMS - China minority 0.90001,282
 88  A*02:07-B*46:01-C*01:02-DRB1*08:03-DRBX*NNNN-DQB1*06:01  USA NMDP Chinese 0.886099,672
 89  A*11:01-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Vietnamese 0.866443,540
 90  A*11:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.81601,734
 91  A*26-B*46-C*01-DRB1*11  Myanmar Kachin 0.794063
 92  A*02:03-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Vietnamese 0.783543,540
 93  A*24-B*46-C*01-DRB1*16  Myanmar Mon 0.781064
 94  A*02:01-B*46:01-C*01:02-DRB1*08:03  Hong Kong Chinese BMDR 0.77937,595
 95  A*11:01-B*46:01-C*01:02-DRB1*09:01  Germany DKMS - China minority 0.76601,282
 96  A*02:07-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Filipino 0.759550,614
 97  A*02:07-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Southeast Asian 0.711427,978
 98  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.70635,266
 99  A*02:07-B*46:01-C*01:02-DRB1*14:01-DRB3*02:02-DQB1*05:02  USA NMDP Vietnamese 0.688843,540
 100  A*02:07-B*46:01-C*01:02-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.68003,078

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 1,021) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 11  


   

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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