Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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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*24:02:01-B*48:01:01-C*08:03:01  South African Indian population 1.000050
 2  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
 3  A*24:20-B*48:01:01-C*08:03:01-DRB1*10:01:01-DQB1*05:01:01  Vietnam Kinh 0.4950101
 4  A*24:20-B*48:01:01-C*08:03:01-DRB1*15:02:01-DQB1*03:03:02  Vietnam Kinh 0.4950101
 5  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*09:01-DQB1*03:03:02  Russia Bashkortostan, Bashkirs 0.4167120
 6  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
 7  A*03:02:01-B*48:01:01-C*08:03:01-DRB1*12:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 8  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
 9  A*68:01:01:02-B*48:01:01-C*08:03:01-DRB1*12:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 10  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
 11  A*24:08-B*48:01:01-C*08:03:01-DRB1*04:02:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 12  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
 13  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
 14  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
 15  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
 16  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
 17  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
 18  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
 19  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
 20  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
 21  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
 22  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
 23  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
 24  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
 25  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
 26  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
 27  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
 28  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
 29  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
 30  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
 31  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
 32  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
 33  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
 34  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
 35  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
 36  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
 37  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
 38  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
 39  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
 40  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
 41  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
 42  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
 43  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
 44  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
 45  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
 46  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
 47  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
 48  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
 49  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
 50  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
 51  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
 52  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
 53  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
 54  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
 55  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
 56  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
 57  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
 58  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
 59  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
 60  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
 61  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
 62  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
 63  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

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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