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 100 (from 123) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  Vietnam Kinh 4.4550101
 2  A*02:01:01-B*44:03:01-C*15:05:02-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Black 2.381073
 3  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 1.4850101
 4  A*30:04:01-B*18:01:01-C*15:05:02  South African Mixed ancestry 1.000050
 5  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 6  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*11:01:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 7  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*13:12:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 8  A*02:01:01-B*58:02:01-C*15:05:02-DRB1*13:01:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*106:01  Brazil Rio de Janeiro Caucasian 0.3891521
 9  A*30:02:01-B*57:02:01-C*15:05:02-DRB1*11:01:02-DQB1*02:01:01-DPB1*04:01:01  South African Black 0.3520142
 10  A*30:04:01-B*39:10:01-C*15:05:02-DRB1*15:03:01-DQB1*06:02:01-DPB1*01:01:01  South African Black 0.3520142
 11  A*24:02:01-B*07:06-C*15:05:02-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.3268153
 12  A*29:01:01-B*14:02:01-C*15:05:02-DRB1*01:02:01-DQA1*01:01:02-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 13  A*02:05:01-B*49:01:01-C*15:05:02-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:01:07-DPB1*13:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 14  A*03:01:01-B*35:01:01-C*15:05:02-DRB1*07:01:01-DQB1*02:02:01-DPA1*03:01:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 15  A*30:01:01-B*53:01:01-C*15:05:02-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 16  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.31035,266
 17  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.2810356
 18  A*68:01:01:02-B*07:05:01-C*15:05:02-DRB1*15:01:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 19  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*08:03:02-DQB1*03:01:01  China Zhejiang Han 0.25951,734
 20  A*03:01:01-B*07:06:01-C*15:05:02-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 21  A*03:01:01-B*07:06:01-C*15:05:02-DRB1*07:01:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*45:01  Brazil Rio de Janeiro Caucasian 0.1946521
 22  A*66:01:01-B*07:02:01-C*15:05:02-DRB1*13:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:19  Brazil Rio de Janeiro Caucasian 0.1946521
 23  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.14575,266
 24  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 25  A*29:01:01-B*40:06:01-C*15:05:02-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 26  A*23:01:01-B*15:03:01-C*15:05:02  England Blood Donors of Mixed Ethnicity 0.0963519
 27  A*29:01:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.06621,510
 28  A*29:01:01:01-B*07:05:01-C*15:05:02-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.06621,510
 29  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.05771,734
 30  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.05771,734
 31  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.05545,266
 32  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.048523,595
 33  A*01:01:01:01-B*07:06-C*15:05:02-DRB1*04:05:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 34  A*11:01:01:01-B*15:01:01:01-C*15:05:02-DRB1*01:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.03311,510
 35  A*24:02:01:01-B*07:05:01-C*15:05:02-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 36  A*29:01:01:01-B*07:05:01-C*15:05:02-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 37  A*29:01:01:01-B*07:05:01-C*15:05:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 38  A*29:01:01:01-B*07:05:01-C*15:05:02-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 39  A*32:01:01-B*07:05:01-C*15:05:02-DRB1*07:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 40  A*01:01:01-B*07:05:01-C*15:05:02-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.02881,734
 41  A*02:01:01-B*07:05:01-C*15:05:02-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 42  A*03:01:01-B*35:01:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 43  A*26:01:01-B*35:01:01-C*15:05:02-DRB1*12:01:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 44  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DPB1*104:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02755,266
 45  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.023323,595
 46  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02305,266
 47  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*11:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 48  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01895,266
 49  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01885,266
 50  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.015923,595
 51  A*02:07:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01535,266
 52  A*03:01:01-B*07:05:01-C*15:05:02-DRB1*15:01:01-DQB1*05:02:01  Poland BMR 0.012723,595
 53  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.011223,595
 54  A*02:22:01-B*14:01:01-C*15:05:02-DRB1*11:02:01-DQB1*03:19:01  Poland BMR 0.010623,595
 55  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.010623,595
 56  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*04:03:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 57  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*12:02:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 58  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*14:04:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 59  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*15:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 60  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*16:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 61  A*02:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.009423,595
 62  A*11:01:01-B*07:05:01-C*15:05:02-DRB1*08:03:02-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00935,266
 63  A*24:03:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00925,266
 64  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*13:01:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00915,266
 65  A*11:01:01-B*07:05:01-C*15:05:02-DRB1*14:54:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00895,266
 66  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*16:01:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00855,266
 67  A*02:01:01-B*07:05:01-C*15:05:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.008523,595
 68  A*02:07:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DPB1*25:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00805,266
 69  A*11:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00805,266
 70  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.007423,595
 71  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*07:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00715,266
 72  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*12:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00705,266
 73  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DPB1*10:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00665,266
 74  A*02:07:01-B*07:05:01-C*15:05:02-DRB1*11:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00655,266
 75  A*03:01:01-B*07:06:01-C*15:05:02-DRB1*04:05:01-DQB1*03:02:01  Poland BMR 0.006423,595
 76  A*11:01:01-B*07:05:01-C*15:05:02-DRB1*16:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00625,266
 77  A*24:353-B*07:05:01-C*15:05:02-DRB1*10:01:01-DPB1*21:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00625,266
 78  A*03:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.005423,595
 79  A*02:01:01-B*07:05:01-C*15:05:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.005323,595
 80  A*11:01:01-B*07:05:01-C*15:05:02-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00485,266
 81  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.004523,595
 82  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.004323,595
 83  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004323,595
 84  A*01:01:01-B*07:05:01-C*15:05:02-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.004223,595
 85  A*25:01:01-B*07:05:01-C*15:05:02-DRB1*13:05:01-DQB1*03:01:01  Poland BMR 0.004223,595
 86  A*29:02:01-B*14:01:01-C*15:05:02-DRB1*11:02:01-DQB1*03:19:01  Poland BMR 0.004223,595
 87  A*31:01:02-B*07:05:01-C*15:05:02-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.004223,595
 88  A*02:01:01-B*07:05:01-C*15:05:02-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.004023,595
 89  A*01:01:01-B*07:05:01-C*15:05:02-DRB1*01:03-DQB1*03:01:01  Poland BMR 0.003223,595
 90  A*02:01:01-B*07:05:01-C*15:05:02-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002823,595
 91  A*03:01:01-B*07:05:01-C*15:05:02-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002423,595
 92  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 93  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 94  A*24:02:01-B*07:05:01-C*15:05:02-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.002123,595
 95  A*01:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 96  A*01:01:01-B*07:06:01-C*15:05:02-DRB1*04:05:01-DQB1*03:02:01  Poland BMR 0.002123,595
 97  A*02:01:01-B*07:05:01-C*15:05:02-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002123,595
 98  A*02:05:01-B*07:05:01-C*15:05:02-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 99  A*02:22:01-B*14:01:01-C*15:05:02-DRB1*01:01:01-DQB1*03:01:04  Poland BMR 0.002123,595
 100  A*03:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*03:02:01  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).


Displaying 1 to 100 (from 123) records   Pages: 1 2 of 2  


   

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