Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 63 (from 63) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.06621,510
 2  A*01:01:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 3  A*01:01:01-B*48:01:01-C*08:03:01-DRB1*13:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 4  A*02:01:01:01-B*48:01:01-C*08:03:01-DRB1*11:04:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.8333120
 5  A*02:01:01:01-B*48:01:01-C*08:03:01-DRB1*12:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.09931,510
 6  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*04:03:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00575,266
 7  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*04:03:01-DQB1*02:02:01  Poland BMR 0.002123,595
 8  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*04:05:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 9  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.015123,595
 10  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 11  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*08:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 12  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*08:02:01-DQB1*04:02:01  China Zhejiang Han 0.02881,734
 13  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00815,266
 14  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.002123,595
 15  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.06621,510
 16  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*09:01-DQB1*03:03:02  Russia Bashkortostan, Bashkirs 0.4167120
 17  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.001823,595
 18  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*12:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00855,266
 19  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.007823,595
 20  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*14:03:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 21  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*14:05:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 22  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*14:54:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 23  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.002123,595
 24  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*15:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01775,266
 25  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 26  A*02:06:01-B*48:01:01-C*08:03:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.006423,595
 27  A*02:06:01-B*48:01:01-C*08:03:01-DRB1*04:03:01-DQB1*03:04:01  Poland BMR 0.004223,595
 28  A*02:06:01-B*48:01:01-C*08:03:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.004223,595
 29  A*02:06:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.002123,595
 30  A*02:06:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*05:04  Russia Nizhny Novgorod, Russians 0.03311,510
 31  A*02:06:01-B*48:01:01-C*08:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.004223,595
 32  A*02:06:01-B*48:01:01-C*08:03:01-DRB1*12:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 33  A*02:06:01-B*48:01:01-C*08:03:01-DRB1*14:07:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00925,266
 34  A*02:07:01-B*48:01:01-C*08:03:01-DRB1*04:10:01-DQB1*04:02:01  China Zhejiang Han 0.02881,734
 35  A*02:07:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02411,734
 36  A*03:01:01:01-B*48:01:01-C*08:03:01-DRB1*01:01-DQB1*05:01:01  Russia Bashkortostan, Bashkirs 0.4167120
 37  A*03:01:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 38  A*03:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.002123,595
 39  A*03:01:01-B*48:01:01-C*08:03:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.003323,595
 40  A*03:02:01-B*48:01:01-C*08:03:01-DRB1*12:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 41  A*11:01:01-B*48:01:01-C*08:03:01-DRB1*04:03:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00505,266
 42  A*11:01:01-B*48:01:01-C*08:03:01-DRB1*04:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01835,266
 43  A*11:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01175,266
 44  A*23:01:01-B*48:01:01-C*08:03:01-DRB1*15:01:01:03-DQB1*06:02:01  Russia Bashkortostan, Bashkirs 0.4167120
 45  A*24:02:01:01-B*48:01:01-C*08:03:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 46  A*24:02:01-B*48:01:01-C*08:03:01  South African Indian population 1.000050
 47  A*24:02:01-B*48:01:01-C*08:03:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 48  A*24:02:01-B*48:01:01-C*08:03:01-DRB1*04:03:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00815,266
 49  A*24:02:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.03351,734
 50  A*24:02:01-B*48:01:01-C*08:03:01-DRB1*11:02:01-DQB1*03:03:02  Poland BMR 0.002123,595
 51  A*24:02:01-B*48:01:01-C*08:03:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.005823,595
 52  A*24:02:01-B*48:01:01-C*08:03:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 53  A*24:02:01-B*48:01:01-C*08:03:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 54  A*24:02:13-B*48:01:01-C*08:03:01-DRB1*04:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 55  A*24:08-B*48:01:01-C*08:03:01-DRB1*04:02:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 56  A*24:20-B*48:01:01-C*08:03:01-DRB1*10:01:01-DQB1*05:01:01  Vietnam Kinh 0.4950101
 57  A*24:20-B*48:01:01-C*08:03:01-DRB1*15:02:01-DQB1*03:03:02  Vietnam Kinh 0.4950101
 58  A*30:01:01-B*48:01:01-C*08:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 59  A*30:04:01-B*48:01:01-C*08:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 60  A*31:01:02-B*48:01:01-C*08:03:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.02881,734
 61  A*32:01:01-B*48:01:01-C*08:03:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 62  A*33:03:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00815,266
 63  A*68:01:01:02-B*48:01:01-C*08:03:01-DRB1*12:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120

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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional