Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 1 to 100 (from 130) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01:01-B*35:03:01-C*12:03:01  South African Mixed ancestry 1.000050
 2  A*03:02:01-B*35:03:01-C*12:03:01  South African Indian population 1.000050
 3  A*24:02:01-B*35:03:01-C*12:03:01  South African Indian population 1.000050
 4  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.8620174
 5  A*26:01:01-B*35:03:01-C*12:03:01-DRB1*15:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 6  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.5837521
 7  A*02:11:01-B*35:03:01-C*12:03:01-DRB1*15:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.5750174
 8  A*24:02:01-B*35:03:01-C*12:03:01:01-DRB1*04:08:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 9  A*02:01:01-B*35:03:01-C*12:03:01-DRB1*07:01:01-DQA1*05:05:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:02:01  Russia Belgorod region 0.3268153
 10  A*11:01:01-B*35:03:01-C*12:03:01-DRB1*07:01:01-DQB1*03:04:01-DPA1*02:02:02-DPB1*158:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 11  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 12  A*26:01:01-B*35:03:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*02:01:04-DPB1*13:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 13  A*03:01:01-B*35:03:01-C*12:03:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 14  A*31:01:02-B*35:03:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 15  A*68:01:02-B*35:03:01-C*12:03:01-DRB1*04:03:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 16  A*68:01:02-B*35:03:01-C*12:03:01-DRB1*04:04:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 17  A*03:01:01-B*35:03:01-C*12:03:01-DRB1*08:03:02-DQB1*03:01:01  India Kerala Malayalam speaking 0.2810356
 18  A*11:01:01-B*35:03:01-C*12:03:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.274223,595
 19  A*02:11:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 20  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 21  A*30:04:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 22  A*11:01:01:01-B*35:03:01-C*12:03:01:01-DRB1*04:08:01-DQB1*03:04:01  Russia Nizhny Novgorod, Russians 0.16561,510
 23  A*33:03:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.14185,266
 24  A*02:01:01-B*35:03:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 25  A*03:01:01-B*35:03:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 26  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 27  A*31:01:02-B*35:03:01-C*12:03:01-DRB1*08:03:02-DQB1*02:01:01  India Kerala Malayalam speaking 0.1400356
 28  A*68:01:02-B*35:03:01-C*12:03:01-DRB1*04:08:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 29  A*03:01:01-B*35:03:01-C*12:03:01  England Blood Donors of Mixed Ethnicity 0.0963519
 30  A*02:01:01:01-B*35:03:01-C*12:03:01:01-DRB1*14:54-DQB1*05:03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 31  A*02:01:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.055023,595
 32  A*33:03:01-B*35:03:01-C*12:03:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04075,266
 33  A*33:03:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04015,266
 34  A*33:03:01-B*35:03:01-C*12:03:01-DRB1*12:02:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03815,266
 35  A*33:03:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03655,266
 36  A*02:01:01-B*35:03:01-C*12:03:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.034023,595
 37  A*03:01:01:01-B*35:03:01-C*12:03:01:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 38  A*11:01:01:01-B*35:03:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 39  A*24:02:01:01-B*35:03:01-C*12:03:01:01-DRB1*04:08:01-DQB1*03:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 40  A*24:02:01-B*35:03:01-C*12:03:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 41  A*24:02:01-B*35:03:01-C*12:03:01:01-DRB1*04:08:01-DQB1*03:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 42  A*24:02:01-B*35:03:01-C*12:03:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 43  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 44  A*03:01:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.032823,595
 45  A*33:03:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03035,266
 46  A*11:01:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02915,266
 47  A*02:06:01-B*35:03:01-C*12:03:01-DRB1*04:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 48  A*03:01:01-B*35:03:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.02881,734
 49  A*03:01:01-B*35:03:01-C*12:03:01-DRB1*07:01:01-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 50  A*03:01:01-B*35:03:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 51  A*11:01:01-B*35:03:01-C*12:03:01-DRB1*04:01:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 52  A*11:01:01-B*35:03:01-C*12:03:01-DRB1*04:08:01-DQB1*03:04:01  China Zhejiang Han 0.02881,734
 53  A*11:02:01-B*35:03:01-C*12:03:01-DRB1*07:01:01-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 54  A*33:03:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DPB1*21:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02585,266
 55  A*03:01:01-B*35:03:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.021323,595
 56  A*03:01:01-B*35:03:01-C*12:03:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.021123,595
 57  A*33:03:01-B*35:03:01-C*12:03:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02085,266
 58  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.019623,595
 59  A*02:06:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 60  A*03:01:01-B*35:03:01-C*12:03:01-DRB1*13:01:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 61  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*13:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01845,266
 62  A*01:01:01-B*35:03:01-C*12:03:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.016823,595
 63  A*26:01:01-B*35:03:01-C*12:03:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.015523,595
 64  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.014423,595
 65  A*02:01:01-B*35:03:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.013723,595
 66  A*11:01:01-B*35:03:01-C*12:03:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.012423,595
 67  A*03:01:01-B*35:03:01-C*12:03:01-DRB1*08:03:02-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 68  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*01:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 69  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 70  A*33:03:01-B*35:03:01-C*12:03:01-DRB1*10:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00945,266
 71  A*01:01:01-B*35:03:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.008923,595
 72  A*33:03:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DPB1*31:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00895,266
 73  A*33:03:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00785,266
 74  A*02:01:01-B*35:03:01-C*12:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.007623,595
 75  A*02:06:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00745,266
 76  A*11:01:01-B*35:03:01-C*12:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.007423,595
 77  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.007223,595
 78  A*03:01:01-B*35:03:01-C*12:03:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.007023,595
 79  A*33:03:01-B*35:03:01-C*12:03:01-DRB1*09:01:02-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00645,266
 80  A*68:01:02-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.006423,595
 81  A*11:01:01-B*35:03:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.005223,595
 82  A*11:01:01-B*35:03:01-C*12:03:01-DRB1*08:03:02-DPB1*26:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00485,266
 83  A*31:01:02-B*35:03:01-C*12:03:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.004823,595
 84  A*02:01:01-B*35:03:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.004823,595
 85  A*11:01:01-B*35:03:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.004523,595
 86  A*11:01:01-B*35:03:01-C*12:03:01-DRB1*01:01:01-DQB1*03:01:01  Poland BMR 0.004223,595
 87  A*31:01:02-B*35:03:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.004223,595
 88  A*32:01:01-B*35:03:01-C*12:03:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.004223,595
 89  A*01:01:01-B*35:03:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.004223,595
 90  A*03:01:01-B*35:03:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.004223,595
 91  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.003423,595
 92  A*25:01:01-B*35:03:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.003323,595
 93  A*02:01:01-B*35:03:01-C*12:03:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.003023,595
 94  A*03:01:01-B*35:03:01-C*12:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002523,595
 95  A*31:01:02-B*35:03:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002523,595
 96  A*02:01:01-B*35:03:01-C*12:03:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002423,595
 97  A*02:01:01-B*35:03:01-C*12:03:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002323,595
 98  A*03:01:01-B*35:03:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002223,595
 99  A*26:01:01-B*35:03:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002223,595
 100  A*25:01:01-B*35:03:01-C*12:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002223,595

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 130) 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.

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