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 74 (from 74) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11:01:01-B*15:25-C*04:03-DRB1*15:01:01-DQB1*05:02:01-DPB1*02:01:02  China Yunnan Province Nu 2.6000107
 2  A*02:03-B*15:25-DRB1*15:01  Malaysia Kedah Kensiu 2.380021
 3  A*02:01-B*15:25-C*04:03-DRB1*15:01-DQB1*05:02  India Northeast UCBB 0.8446296
 4  A*02:01:01-B*15:25-C*04:03-DRB1*15:01:01  China Jingpo Minority 0.5210105
 5  A*02:01:01-B*15:25-DRB1*15:01:01  China Jingpo Minority 0.5210105
 6  B*15:25-C*04:03-DRB1*15:01:01  China Jingpo Minority 0.5210105
 7  B*15:25-DRB1*15:01:01  China Jingpo Minority 0.5210105
 8  A*24:02:01-B*15:25:01-C*07:26:01-DRB1*15:01:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 9  A*24:02-B*15:25-C*03:04-DRB1*15:01-DQB1*06:11  Malaysia Peninsular Chinese 0.2577194
 10  A*02:03-B*15:25-C*04:03-DRB1*15:01-DQB1*06:01  India Northeast UCBB 0.1689296
 11  A*11:01-B*15:25-C*01:02-DRB1*15:01-DQB1*05:02  India Northeast UCBB 0.1689296
 12  A*11:01-B*15:25-C*08:01-DRB1*15:01-DQB1*05:02  India Northeast UCBB 0.1689296
 13  A*33:03-B*15:25-C*12:03-DRB1*15:01-DQB1*06:01  India Northeast UCBB 0.1689296
 14  A*24:02-B*15:25-C*07:26-DRB1*15:01-DQB1*06:01  India West UCBB 0.07565,829
 15  A*11:01-B*15:25-C*04:03-DRB1*15:01-DQA1*01:03-DQB1*05:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 16  A*24:02-B*15:25-C*07:01-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*26:01  Sri Lanka Colombo 0.0700714
 17  A*11:01-B*15:25-C*04:03-DRB1*15:01-DQB1*05:02  USA Asian pop 2 0.06901,772
 18  A*24:02-B*15:25-C*07:26-DRB1*15:01-DQB1*06:01  India Central UCBB 0.05644,204
 19  A*11:01-B*15:25-C*04:03-DRB1*15:01-DQB1*05:02  India East UCBB 0.05352,403
 20  A*11:01-B*15:25-C*04:03-DRB1*15:01  Hong Kong Chinese BMDR 0.05297,595
 21  A*24:02-B*15:25-C*04:03-DRB1*15:01-DQB1*05:02  India Tamil Nadu 0.04542,492
 22  A*11:01-B*15:25-C*04:03-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.04401,772
 23  A*02:01-B*15:25-DRB1*15:01  Hong Kong Chinese cord blood registry 0.03913,892
 24  A*11:01-B*15:25-C*07:26-DRB1*15:01-DQB1*06:01  India Central UCBB 0.03874,204
 25  A*24:02-B*15:25-C*07:26-DRB1*15:01-DQB1*06:01  India South UCBB 0.036011,446
 26  A*02:01-B*15:25-C*04:03-DRB1*15:01  Hong Kong Chinese BMDR 0.03417,595
 27  A*11:01-B*15:25-DRB1*15:01  Hong Kong Chinese cord blood registry 0.03273,892
 28  A*33:03-B*15:25-C*07:26-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.03012,492
 29  A*24:02-B*15:25-C*04:03-DRB1*15:01-DQB1*05:02  India East UCBB 0.02972,403
 30  A*02:03:01-B*15:25:01-C*04:03:01-DRB1*15:01:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 31  A*02:06:01-B*15:25:01-C*04:03:01-DRB1*15:01:01-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 32  A*11:01-B*15:25-C*07:26-DRB1*15:01-DQB1*06:01  India West UCBB 0.02565,829
 33  A*11:01-B*15:25-C*07:26-DRB1*15:01-DQB1*06:01  India North UCBB 0.02165,849
 34  A*11:01-B*15:25-C*07:26-DRB1*15:01-DQB1*06:01  India South UCBB 0.021111,446
 35  A*11:01-B*15:25-C*07:26-DRB1*15:01-DQB1*05:01  India East UCBB 0.02082,403
 36  A*24:02-B*15:25-C*07:26-DRB1*15:01-DQB1*06:01  India East UCBB 0.02082,403
 37  A*68:01-B*15:25-C*07:26-DRB1*15:01-DQB1*06:01  India East UCBB 0.02082,403
 38  A*02:01-B*15:25-C*04:03-DRB1*15:01-DQB1*05:02  USA Asian pop 2 0.02001,772
 39  A*11:02-B*15:25-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.01977,595
 40  A*02:07:01-B*15:25:01-C*04:03:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 41  A*02:11-B*15:25-C*07:26-DRB1*15:01-DQB1*06:01  India West UCBB 0.01755,829
 42  A*24:02-B*15:25-C*07:26-DRB1*15:01-DQB1*06:01  India North UCBB 0.01715,849
 43  A*11:01:01-B*15:25:01-C*04:03:01-DRB1*15:01:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01605,266
 44  A*02:11-B*15:25-C*07:26-DRB1*15:01-DQB1*06:01  India South UCBB 0.013111,446
 45  A*31:01-B*15:25-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.01307,595
 46  A*11:01:01-B*15:25:01-C*04:03:01-DRB1*15:01:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01165,266
 47  A*11:01:01-B*15:25:01-C*04:03:01-DRB1*15:01:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00985,266
 48  A*33:03-B*15:25-C*07:26-DRB1*15:01-DQB1*06:01  India South UCBB 0.009011,446
 49  A*01:01-B*15:25-C*07:26-DRB1*15:01-DQB1*03:01  India West UCBB 0.00865,829
 50  A*03:01-B*15:25-C*07:26-DRB1*15:01-DQB1*06:01  India West UCBB 0.00865,829
 51  A*24:07-B*15:25-C*07:26-DRB1*15:01-DQB1*06:01  India West UCBB 0.00865,829
 52  A*24:33-B*15:25-C*07:26-DRB1*15:01-DQB1*06:02  India West UCBB 0.00865,829
 53  A*30:02-B*15:25-C*07:26-DRB1*15:01-DQB1*06:01  India West UCBB 0.00865,829
 54  A*32:01-B*15:25-C*07:26-DRB1*15:01-DQB1*06:01  India South UCBB 0.008611,446
 55  A*66:01-B*15:25-C*07:26-DRB1*15:01-DQB1*06:01  India West UCBB 0.00865,829
 56  A*68:01-B*15:25-C*07:26-DRB1*15:01-DQB1*06:02  India West UCBB 0.00865,829
 57  A*01:01-B*15:25-C*04:03-DRB1*15:01-DQB1*06:01  India North UCBB 0.00855,849
 58  A*02:01-B*15:25-C*07:26-DRB1*15:01-DQB1*06:01  India North UCBB 0.00855,849
 59  A*02:06-B*15:25-C*04:03-DRB1*15:01-DQB1*05:02  India North UCBB 0.00855,849
 60  A*24:02:01-B*15:25:01-C*04:03:01-DRB1*15:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00855,266
 61  A*24:02-B*15:25-C*04:03-DRB1*15:01-DQB1*05:02  India North UCBB 0.00855,849
 62  A*11:01:01-B*15:25:01-C*04:03:01-DRB1*15:01:01-DPB1*135:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00785,266
 63  A*11:01-B*15:25-C*08:01-DRB1*15:01  Hong Kong Chinese BMDR 0.00607,595
 64  A*02:11-B*15:25-C*07:26-DRB1*15:01-DQB1*06:01  India North UCBB 0.00555,849
 65  A*11:01-B*15:25-C*04:03-DRB1*15:01-DQB1*05:02  India South UCBB 0.004811,446
 66  A*01:01-B*15:25-C*07:26-DRB1*15:01-DQB1*06:01  India South UCBB 0.004511,446
 67  A*01:01-B*15:25-C*04:03-DRB1*15:01-DQB1*06:02  India South UCBB 0.004411,446
 68  A*01:01-B*15:25-C*07:26-DRB1*15:01-DQB1*06:02  India South UCBB 0.004411,446
 69  A*03:01-B*15:25-C*07:26-DRB1*15:01-DQB1*06:02  India South UCBB 0.004411,446
 70  A*03:02-B*15:25-C*04:03-DRB1*15:01-DQB1*06:02  India South UCBB 0.004411,446
 71  A*11:89-B*15:25-C*04:03-DRB1*15:01-DQB1*06:01  India South UCBB 0.004411,446
 72  A*24:02-B*15:25-C*07:26-DRB1*15:01-DQB1*05:03  India South UCBB 0.004411,446
 73  A*02:01-B*15:25-C*04:03-DRB1*15:01-DQB1*05:02  India South UCBB 0.003911,446
 74  A*29:02-B*15:25-DRB1*15:01  Israel USSR Jews 0.000547045,681

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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