Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 76 (from 76) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*29:02:01-B*45:01:01-C*06:02:01-DRB1*11:02:01-DQB1*03:01:01-DPB1*105:01:01  South African Black 0.7040142
 2  A*29:02:01-B*45:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:02:01  Brazil Rio de Janeiro Parda 0.5882170
 3  A*24:02:01-B*45:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 4  A*29:02:01-B*45:01:01-C*06:02:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*10:01  Russian Federation Vologda Region 0.4202119
 5  A*29:02:01-B*45:01:01-C*06:02:01  England Blood Donors of Mixed Ethnicity 0.3854519
 6  A*23:01:01-B*45:01:01-C*06:02:01-DRB1*01:02:01-DQB1*03:19:01-DPB1*02:01:02  South African Black 0.3520142
 7  A*23:01:01-B*45:01:01-C*06:02:01-DRB1*04:05:01-DQB1*03:02:01-DPB1*105:01:01  South African Black 0.3520142
 8  A*30:01:01-B*45:01:01-C*06:02:01-DRB1*11:02:01-DQB1*03:19:01-DPB1*18:01  South African Black 0.3520142
 9  A*68:02:01-B*45:01:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:19  South African Black 0.3520142
 10  A*29:02:01-B*45:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*02:01:08-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 11  A*01:01:01-B*45:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Spain, Canary Islands, Gran canaria island 0.2300215
 12  A*03:01:01-B*45:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 13  A*24:02:01-B*45:01:01-C*06:02:01-DRB1*04:03:01-DQB1*03:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 14  A*68:01:02-B*45:01:01-C*06:02:01-DRB1*04:05:01-DQB1*03:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 15  A*69:01-B*45:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 16  A*02:01:01-B*45:01:01-C*06:02:01-DRB1*15:01:01-DQB1*02:01:01-DPA1*02:06-DPB1*05:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 17  A*23:01:01-B*45:01:01-C*06:02:01-DRB1*04:03:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 18  A*02:11:01-B*45:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 19  A*31:01:02-B*45:01:01-C*06:02:01  England Blood Donors of Mixed Ethnicity 0.0963519
 20  A*23:01:01-B*45:01:01-C*06:02:01-DRB1*07:01:01-DPB1*09:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.09495,266
 21  A*29:02:01:02-B*45:01:01-C*06:02:01:03-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 22  A*23:01:01-B*45:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.05771,734
 23  A*02:01:01-B*45:01:01-C*06:02:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.038823,595
 24  A*29:02:01:02-B*45:01:01-C*06:02:01:03-DRB1*04:03:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 25  A*02:01:01-B*45:01:01-C*06:02:01-DRB1*04:06:02-DQB1*04:02:01  Poland BMR 0.029623,595
 26  A*29:02:01-B*45:01:01-C*06:02:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.02881,734
 27  A*29:02:01-B*45:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.011723,595
 28  A*11:02:01-B*45:01:01-C*06:02:01-DRB1*13:12:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 29  A*33:03:01-B*45:01:01-C*06:02:01-DRB1*15:01:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 30  A*29:02:01-B*45:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.009323,595
 31  A*29:02:01-B*45:01:01-C*06:02:01-DRB1*15:01:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00925,266
 32  A*02:01:01-B*45:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.009223,595
 33  A*29:02:01-B*45:01:01-C*06:02:01-DRB1*08:04:01-DPB1*104:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00865,266
 34  A*02:01:01-B*45:01:01-C*06:02:01-DRB1*11:02:01-DQB1*03:19:01  Poland BMR 0.008523,595
 35  A*29:02:01-B*45:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.008423,595
 36  A*02:07:01-B*45:01:01-C*06:02:01-DRB1*15:01:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00785,266
 37  A*03:01:01-B*45:01:01-C*06:02:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.007423,595
 38  A*26:01:01-B*45:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.006323,595
 39  A*29:02:01-B*45:01:01-C*06:02:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.006323,595
 40  A*02:01:01-B*45:01:01-C*06:02:01-DRB1*04:05:01-DQB1*03:02:01  Poland BMR 0.005223,595
 41  A*03:01:01-B*45:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.004923,595
 42  A*24:02:01-B*45:01:01-C*06:02:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.004623,595
 43  A*02:01:01-B*45:01:01-C*06:02:01-DRB1*04:05:01-DQB1*03:02:02  Poland BMR 0.004223,595
 44  A*24:02:01-B*45:01:01-C*06:02:01-DRB1*09:01:02-DQB1*02:02:01  Poland BMR 0.004223,595
 45  A*29:02:01-B*45:01:01-C*06:02:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.004223,595
 46  A*02:01:01-B*45:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.004223,595
 47  A*11:01:01-B*45:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004123,595
 48  A*25:01:01-B*45:01:01-C*06:02:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.003823,595
 49  A*03:01:01-B*45:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002223,595
 50  A*26:01:01-B*45:01:01-C*06:02:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.002223,595
 51  A*02:01:01-B*45:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 52  A*01:01:01-B*45:01:01-C*06:02:01-DRB1*04:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 53  A*01:01:01-B*45:01:01-C*06:02:01-DRB1*04:06:02-DQB1*03:02:01  Poland BMR 0.002123,595
 54  A*02:01:01-B*45:01:01-C*06:02:01-DRB1*04:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 55  A*02:01:01-B*45:01:01-C*06:02:01-DRB1*09:01:02-DQB1*02:02:01  Poland BMR 0.002123,595
 56  A*02:01:01-B*45:01:01-C*06:02:01-DRB1*10:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 57  A*02:05:01-B*45:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 58  A*02:07:01-B*45:01:01-C*06:02:01-DRB1*04:05:01-DQB1*03:02:01  Poland BMR 0.002123,595
 59  A*02:07:01-B*45:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 60  A*11:01:01-B*45:01:01-C*06:02:01-DRB1*01:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 61  A*23:01:01-B*45:01:01-C*06:02:01-DRB1*04:72:01-DQB1*02:02:01  Poland BMR 0.002123,595
 62  A*23:01:01-B*45:01:01-C*06:02:01-DRB1*09:01:02-DQB1*02:02:01  Poland BMR 0.002123,595
 63  A*25:01:01-B*45:01:01-C*06:02:01-DRB1*04:06:02-DQB1*04:02:01  Poland BMR 0.002123,595
 64  A*29:02:01-B*45:01:01-C*06:02:01-DRB1*04:01:01-DQB1*06:04:01  Poland BMR 0.002123,595
 65  A*29:02:01-B*45:01:01-C*06:02:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 66  A*33:01:01-B*45:01:01-C*06:02:01-DRB1*04:05:01-DQB1*03:02:01  Poland BMR 0.002123,595
 67  A*68:01:01-B*45:01:01-C*06:02:01-DRB1*01:02:01-DQB1*03:03:02  Poland BMR 0.002123,595
 68  A*68:01:01-B*45:01:01-C*06:02:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002123,595
 69  A*66:01:01-B*45:01:01-C*06:02:01-DRB1*04:05:01-DQB1*03:02:01  Poland BMR 0.002123,595
 70  A*01:01:01-B*45:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 71  A*02:01:01-B*45:01:01-C*06:02:01-DRB1*01:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 72  A*31:01:02-B*45:01:01-C*06:02:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 73  A*26:01:01-B*45:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.001623,595
 74  A*29:02:01-B*45:01:01-C*06:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.001223,595
 75  A*02:01:01-B*45:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.001123,595
 76  A*01:01:01-B*45:01:01-C*06:02:01-DRB1*04:05:01-DQB1*03:02:01  Poland BMR 0.001123,595

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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