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 58 (from 58) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11:01-B*52:01-C*07:02-DRB1*14:04  China Yunnan Hani 7.3000150
 2  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
 3  A*02:01-B*52:01-C*07:02-DRB1*14:04  China Yunnan Hani 2.9000150
 4  A*11-B*52-C*07-DRB1*14  Myanmar Chin 2.727055
 5  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
 6  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
 7  A*11-B*52-C*07-DRB1*14  Myanmar Kachin 1.674063
 8  A*24-B*52-C*07-DRB1*14  Myanmar Rakhine 1.042048
 9  B*52:01:01-C*07:02:01-DRB1*14:04  China Jingpo Minority 1.0420105
 10  A*11:01-B*52:01-C*07:02-DRB1*14:04-DQB1*05:03  India Northeast UCBB 1.0135296
 11  A*11-B*52-C*07-DRB1*14  Myanmar Shan 0.926054
 12  A*02-B*52-C*07-DRB1*14  Myanmar Chin 0.909055
 13  A*11-B*52-C*07-DRB1*14  Myanmar Kayah 0.909055
 14  A*24-B*52-C*07-DRB1*14  Myanmar Chin 0.909055
 15  A*02-B*52-C*07-DRB1*14  Myanmar Kachin 0.794063
 16  A*24:02:01-B*52:01:01-C*07:02:01-DRB1*14:04  China Jingpo Minority 0.7660105
 17  A*24:02-B*52:01-C*07:02-DRB1*14:04-DQB1*05:03  India Northeast UCBB 0.3378296
 18  A*02:01-B*52:01-C*07:02-DRB1*14:01-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 19  A*33:12-B*52:01-C*07:02-DRB1*14:01-DQB1*02:01  Malaysia Peninsular Chinese 0.2577194
 20  A*02:03-B*52:01-C*07:02-DRB1*14:54-DQB1*05:02  India Northeast UCBB 0.1689296
 21  A*02:06-B*52:01-C*07:02-DRB1*14:54-DQB1*05:02  India Northeast UCBB 0.1689296
 22  A*11:01-B*52:01-C*07:02-DRB1*14:10-DQB1*05:10  India Northeast UCBB 0.1689296
 23  A*11:01-B*52:01-C*07:02-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Malay 0.0526951
 24  A*24:07-B*52:01-C*07:02-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Malay 0.0526951
 25  A*26:01-B*52:11-C*07:02-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Malay 0.0526951
 26  A*02:03-B*52:01-C*07:02-DRB1*14:04-DQB1*05:03  USA Asian pop 2 0.04401,772
 27  A*68:01-B*52:01-C*07:02-DRB1*14:04-DQB1*05:03  USA Asian pop 2 0.04401,772
 28  A*01:01-B*52:01-C*07:02-DRB1*14:04  Germany DKMS - China minority 0.03901,282
 29  A*02:03:01-B*52:01:01-C*07:02:01-DRB1*14:04:01-DQB1*05:03:01  China Zhejiang Han 0.02881,734
 30  A*11:03-B*52:01:01-C*07:02:01-DRB1*14:04:01-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 31  A*11:03-B*52:01-C*07:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.02384,204
 32  A*11-B*52-C*07-DRB1*14  Myanmar Bamar 0.021746
 33  A*02:11-B*52:01-C*07:02-DRB1*14:04-DQB1*05:03  India East UCBB 0.02082,403
 34  A*11:01-B*52:01-C*07:02-DRB1*14:10-DQB1*05:10  India East UCBB 0.02082,403
 35  A*11:03-B*52:01-C*07:02-DRB1*14:04-DQB1*05:03  India East UCBB 0.02082,403
 36  A*24:02-B*52:01-C*07:01-DRB1*14:10-DQB1*05:10  India East UCBB 0.02082,403
 37  A*24:02-B*52:01-C*07:02-DRB1*14:04-DQB1*05:03  India East UCBB 0.02082,403
 38  A*68:01-B*52:01-C*07:02-DRB1*14:04-DQB1*05:03  India East UCBB 0.02082,403
 39  A*02:03-B*52:01-C*07:02-DRB1*14:04  Hong Kong Chinese BMDR 0.01977,595
 40  A*02:03:01-B*52:01:01-C*07:02:01-DRB1*14:04:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 41  A*01:01-B*52:01-C*07:04-DRB1*14:04-DQB1*05:03  India Central UCBB 0.01194,204
 42  A*11:03-B*52:01-C*07:04-DRB1*14:04-DQB1*05:03  India Central UCBB 0.01194,204
 43  A*33:03-B*52:01-C*07:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.01194,204
 44  A*02:01-B*52:01-C*07:02-DRB1*14:54  Hong Kong Chinese BMDR 0.01157,595
 45  A*11-B*52-C*07-DRB1*14-DQB1*05-DPB1*02  Myanmar Bamar 0.010946
 46  A*68:01-B*52:01-C*07:02-DRB1*14:04-DQB1*05:03  Germany DKMS - Turkey minority 0.01004,856
 47  A*11:01:01-B*52:01:01-C*07:02:01-DRB1*14:10-DPB1*93:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00925,266
 48  A*68:01-B*52:01-C*07:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.008711,446
 49  A*02:03-B*52:01-C*07:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.00865,829
 50  A*02:03-B*52:01-C*07:02-DRB1*14:15-DQB1*05:03  India West UCBB 0.00865,829
 51  A*24:02-B*52:01-C*07:04-DRB1*14:04-DQB1*05:161  India West UCBB 0.00865,829
 52  A*02:06-B*52:01-C*07:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.00855,849
 53  A*11:01-B*52:01-C*07:02-DRB1*14:54-DQB1*05:03  India North UCBB 0.00855,849
 54  A*03:01-B*52:01-C*07:02-DRB1*14:10  Hong Kong Chinese BMDR 0.00657,595
 55  A*11:01-B*52:01-C*07:02-DRB1*14:10  Hong Kong Chinese BMDR 0.00657,595
 56  A*24:02-B*52:01-C*07:02-DRB1*14:05  Hong Kong Chinese BMDR 0.00567,595
 57  A*33:03-B*52:01-C*07:02-DRB1*14:54-DQB1*05:02  India South UCBB 0.004411,446
 58  A*11:03-B*52:01-C*07:02-DRB1*14:54-DQB1*05:03  India South UCBB 0.004311,446

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).




   

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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