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 54 (from 54) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11-B*15-C*12-DRB1*14  Myanmar Rakhine 3.125048
 2  A*11-B*15-C*12-DRB1*14  Myanmar Kachin 0.794063
 3  A*02-B*15-C*12-DRB1*14  Myanmar Mon 0.781064
 4  A*11-B*15-C*12-DRB1*14  Myanmar Mon 0.781064
 5  A*11:01:01-B*15:01:01-C*12:03:01-DRB1*14:04  China Jingpo Minority 0.5210105
 6  A*68:01:02-B*15:32:01-C*12:03:01-DRB1*14:01:01  China Jingpo Minority 0.5210105
 7  B*15:01:01-C*12:03:01-DRB1*14:04  China Jingpo Minority 0.5210105
 8  B*15:32:01-C*12:03:01-DRB1*14:01:01  China Jingpo Minority 0.5210105
 9  A*24:07-B*15:01-C*12:02-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Indian 0.1845271
 10  A*02-B*15-C*12-DRB1*14  Macedonia 0.1748286
 11  A*02:03-B*15:32-C*12:03-DRB1*14:04-DQB1*05:03  India Northeast UCBB 0.1689296
 12  A*02:01:01-B*15:01:01-C*12:03:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 13  A*31:01-B*15:24-C*12:03-DRB1*14:01  Italy pop 5 0.1000975
 14  A*33:03-B*15:18-C*12:04-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 15  A*02:01-B*15:01-C*12:03-DRB1*14:05-DQB1*05:03  India West UCBB 0.06865,829
 16  A*02:01-B*15:01-C*12:03-DRB1*14:05-DQB1*05:03  India East UCBB 0.06242,403
 17  A*02:10-B*15:13-C*12:02-DRB1*14:01-DQB1*05:03  Malaysia Peninsular Malay 0.0526951
 18  A*24:02-B*15:13-C*12:02-DRB1*14:01-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 19  A*02:01-B*15:01-C*12:03-DRB1*14:05-DQB1*05:03  India North UCBB 0.05135,849
 20  A*02:01-B*15:01-C*12:03-DRB1*14:05-DQB1*05:03  India Central UCBB 0.04764,204
 21  A*24:02-B*15:03-C*12:02-DRB1*14:01  Germany DKMS - Spain minority 0.04501,107
 22  A*11:01-B*15:01-C*12:03-DRB1*14:01  Germany DKMS - Portugal minority 0.04301,176
 23  A*68:01-B*15:01-C*12:03-DRB1*14:06  Germany DKMS - Portugal minority 0.04301,176
 24  A*02:01-B*15:01-C*12:03-DRB1*14:05-DQB1*05:03  India South UCBB 0.026211,446
 25  A*02:01-B*15:01-C*12:03-DRB1*14:04-DQB1*05:03  India North UCBB 0.02565,849
 26  A*31:01-B*15:01-C*12:03-DRB1*14:04-DQB1*05:03  India North UCBB 0.02565,849
 27  A*11:01-B*15:01-C*12:03-DRB1*14:04-DQB1*05:03  India Central UCBB 0.02384,204
 28  A*02:01-B*15:01-C*12:03-DRB1*14:04-DQB1*05:03  India East UCBB 0.02082,403
 29  A*24:07-B*15:32-C*12:03-DRB1*14:04-DQB1*05:03  India East UCBB 0.02082,403
 30  A*68:01-B*15:32-C*12:03-DRB1*14:04-DQB1*05:03  India East UCBB 0.02082,403
 31  A*03:01-B*15:01-C*12:03-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.02012,492
 32  A*01:01-B*15:01-C*12:03-DRB1*14:54-DQB1*05:03  India Central UCBB 0.01194,204
 33  A*01:01-B*15:32-C*12:03-DRB1*14:54-DQB1*05:02  India Central UCBB 0.01194,204
 34  A*02:05-B*15:220-C*12:03-DRB1*14:54-DQB1*05:03  India Central UCBB 0.01194,204
 35  A*11:03-B*15:01-C*12:159-DRB1*14:04-DQB1*05:03  India Central UCBB 0.01194,204
 36  A*31:01-B*15:01-C*12:03-DRB1*14:04-DQB1*05:03  India Central UCBB 0.01194,204
 37  A*11-B*15-C*12-DRB1*14  Myanmar Bamar 0.010946
 38  A*11-B*15-C*12-DRB1*14-DQB1*06-DPB1*02  Myanmar Bamar 0.010946
 39  A*11:01-B*15:01-C*12:03-DRB1*14:07-DQB1*05:03  India South UCBB 0.008711,446
 40  A*31:01-B*15:01-C*12:03-DRB1*14:04-DQB1*05:03  India South UCBB 0.008711,446
 41  A*11:01-B*15:32-C*12:03-DRB1*14:05-DQB1*05:03  India West UCBB 0.00865,829
 42  A*24:17-B*15:01-C*12:03-DRB1*14:04-DQB1*05:03  India West UCBB 0.00865,829
 43  A*26:01-B*15:01-C*12:03-DRB1*14:05-DQB1*05:03  India West UCBB 0.00865,829
 44  A*31:01-B*15:01-C*12:03-DRB1*14:04-DQB1*05:03  India West UCBB 0.00865,829
 45  A*68:01-B*15:01-C*12:03-DRB1*14:05-DQB1*05:03  India West UCBB 0.00865,829
 46  A*11:02:01-B*15:02:01-C*12:02:02-DRB1*14:07:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00665,266
 47  A*26:01-B*15:01-C*12:03-DRB1*14:10  Hong Kong Chinese BMDR 0.00587,595
 48  A*02:11-B*15:01-C*12:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.004411,446
 49  A*03:01-B*15:01-C*12:03-DRB1*14:54-DQB1*05:03  India South UCBB 0.004411,446
 50  A*11:01-B*15:01-C*12:03-DRB1*14:04-DQB1*05:03  India South UCBB 0.004411,446
 51  A*33:03-B*15:01-C*12:03-DRB1*14:04-DQB1*05:03  India South UCBB 0.004411,446
 52  A*24:02-B*15:01-C*12:03-DRB1*14:05  Hong Kong Chinese BMDR 0.00357,595
 53  A*11:01-B*15:01-C*12:02-DRB1*14:54  Hong Kong Chinese BMDR 0.00347,595
 54  A*11:01:01-B*15:32:01-C*12:03:01-DRB1*14:01:01-DQB1*05:02:01  Poland BMR 0.002123,595

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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