Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 113) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*31:01:02-B*51:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 1.1240356
 2  A*26:01:01-B*51:01:01-C*16:02:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 1.0753186
 3  A*32:01:01-B*51:01:01-C*16:02:01  South African Indian population 1.000050
 4  A*03:01:01:01-B*51:01:01-C*16:02:01-DRB1*04:04:01-DQB1*03:02  Russia Bashkortostan, Bashkirs 0.8333120
 5  A*24:02:01-B*51:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.7760174
 6  A*03:01:01-B*51:01:01-C*16:02:01-DRB1*09:01:02  China Jingpo Minority 0.5210105
 7  B*51:01:01-C*16:02:01-DRB1*09:01:02  China Jingpo Minority 0.5210105
 8  A*03:01:01-B*51:01:01-C*16:02:01  China Jingpo Minority 0.4950105
 9  B*51:01:01-C*16:02:01  China Jingpo Minority 0.4900105
 10  A*02:01:01:01-B*51:01:01-C*16:02:01-DRB1*11:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 11  A*33:03:01-B*51:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.3740174
 12  A*03:01:01-B*51:01:01-C*16:02:01-DRB1*15:02:01  Nicaragua Mestizo (G) 0.3226155
 13  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 14  A*26:01:01-B*51:01:01-C*16:02:01-DRB1*15:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 15  A*02:11:01-B*51:01:01-C*16:02:01-DRB1*15:02:02-DQB1*06:01:01  India Kerala Malayalam speaking 0.2810356
 16  A*33:03:01-B*51:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.2810356
 17  A*01:01:01-B*51:01:01-C*16:02:01-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 18  A*02:11:01-B*51:01:01-C*16:02:01-DRB1*12:02:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 19  A*11:01:01-B*51:01:01-C*16:02:01-DRB1*13:01:01-DQB1*06:110  India Andhra Pradesh Telugu Speaking 0.2688186
 20  A*11:01:01-B*51:01:01-C*16:02:01-DRB1*15:01:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 21  A*24:02:01-B*51:01:01-C*16:02:01-DRB1*04:04:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 22  A*31:01:02-B*51:01:01-C*16:02:01-DRB1*15:01:01-DQB1*06:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 23  A*68:01:02-B*51:01:01-C*16:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 24  A*02:01:01:01-B*51:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:04  Russia Bashkortostan, Tatars 0.2604192
 25  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*16:01-DQB1*05:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.243228,927
 26  A*11:01:01-B*51:01:01-C*16:02:01-DRB1*16:01:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 27  A*26:01:01-B*51:01:01-C*16:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 28  A*03:01:01-B*51:01:01-C*16:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 29  A*03:01:01-B*51:01:01-C*16:02:01-DRB1*14:04:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 30  A*24:02:01-B*51:01:01-C*16:02:01-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 31  A*24:02:01-B*51:01:01-C*16:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 32  A*26:01:01-B*51:01:01-C*16:02:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 33  A*68:01:02-B*51:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 34  A*03:01:01-B*51:01:01-C*16:02:01-DRB1*04:03:01-DQB1*03:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.127128,927
 35  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*16:01-DQB1*05:02:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.114628,927
 36  A*23:01:01-B*51:01:01-C*16:02:01-DRB1*04:01:01-DQB1*03:01:01-DPB1*04:02:01  Saudi Arabia pop 6 (G) 0.105328,927
 37  A*68:01:01-B*51:01:01-C*16:02:01  England Blood Donors of Mixed Ethnicity 0.0963519
 38  A*26:01:01-B*51:01:01-C*16:02:01-DRB1*03:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03805,266
 39  A*02:01:01:01-B*51:01:01-C*16:02:01-DRB1*11:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 40  A*02:01:01:01-B*51:01:01-C*16:02:01-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 41  A*02:05:01-B*51:01:01-C*16:02:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 42  A*02:08-B*51:01:01-C*16:02:01-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.03311,510
 43  A*01:01:01-B*51:01:01-C*16:02:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.02881,734
 44  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*13:12:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 45  A*03:01:01-B*51:01:01-C*16:02:01-DRB1*07:01:01-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 46  A*03:01:01-B*51:01:01-C*16:02:01-DRB1*15:01:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 47  A*11:01:01-B*51:01:01-C*16:02:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.02881,734
 48  A*26:01:01-B*51:01:01-C*16:02:01-DRB1*03:01:01-DQB1*02:01:01  China Zhejiang Han 0.02881,734
 49  A*68:01:02-B*51:01:01-C*16:02:01-DRB1*13:01:01-DQB1*06:03:01  China Zhejiang Han 0.02881,734
 50  A*31:01:02-B*51:01:01-C*16:02:01-DRB1*11:04:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 51  A*02:05:01-B*51:01:01-C*16:02:01-DRB1*04:05:01-DQB1*03:02:01  Poland BMR 0.017023,595
 52  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*11:01:01-DQB1*03:02:01  Poland BMR 0.010623,595
 53  A*31:01:02-B*51:01:01-C*16:02:01-DRB1*16:02:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00895,266
 54  A*24:02:01-B*51:01:01-C*16:02:01-DRB1*03:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00875,266
 55  A*24:02:01-B*51:01:01-C*16:02:01-DRB1*03:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00865,266
 56  A*31:01:02-B*51:01:01-C*16:02:01-DRB1*04:03:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00865,266
 57  A*11:01:01-B*51:01:01-C*16:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.008523,595
 58  A*26:01:01-B*51:01:01-C*16:02:01-DRB1*03:01:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00795,266
 59  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.006423,595
 60  A*01:01:01-B*51:01:01-C*16:02:01-DRB1*04:06:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00605,266
 61  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.005223,595
 62  A*24:02:01-B*51:01:01-C*16:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.005123,595
 63  A*11:01:01-B*51:01:01-C*16:02:01-DRB1*08:03:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00515,266
 64  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004523,595
 65  A*01:01:01-B*51:01:01-C*16:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.004223,595
 66  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*11:02:01-DQB1*02:01:01  Poland BMR 0.004223,595
 67  A*26:01:01-B*51:01:01-C*16:02:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.004223,595
 68  A*68:01:02-B*51:01:01-C*16:02:01-DRB1*15:01:01-DQB1*05:02:01  Poland BMR 0.004223,595
 69  A*68:01:01-B*51:01:01-C*16:02:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.004023,595
 70  A*24:02:01-B*51:01:01-C*16:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.003523,595
 71  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.002823,595
 72  A*03:01:01-B*51:01:01-C*16:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002523,595
 73  A*68:01:01-B*51:01:01-C*16:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002423,595
 74  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002223,595
 75  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.002123,595
 76  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 77  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*04:03:01-DQB1*03:04:01  Poland BMR 0.002123,595
 78  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 79  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*13:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 80  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*16:02:01-DQB1*05:02:01  Poland BMR 0.002123,595
 81  A*02:05:01-B*51:01:01-C*16:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 82  A*03:01:01-B*51:01:01-C*16:02:01-DRB1*08:03:02-DQB1*06:02:01  Poland BMR 0.002123,595
 83  A*03:01:01-B*51:01:01-C*16:02:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 84  A*03:01:01-B*51:01:01-C*16:02:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.002123,595
 85  A*03:01:01-B*51:01:01-C*16:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 86  A*11:01:01-B*51:01:01-C*16:02:01-DRB1*07:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 87  A*24:02:01-B*51:01:01-C*16:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 88  A*24:02:01-B*51:01:01-C*16:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 89  A*24:03:01-B*51:01:01-C*16:02:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 90  A*26:01:01-B*51:01:01-C*16:02:01-DRB1*04:07:01-DQB1*03:01:01  Poland BMR 0.002123,595
 91  A*26:01:01-B*51:01:01-C*16:02:01-DRB1*11:03:01-DQB1*06:02:01  Poland BMR 0.002123,595
 92  A*26:01:01-B*51:01:01-C*16:02:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 93  A*26:01:01-B*51:01:01-C*16:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 94  A*29:01:01-B*51:01:01-C*16:02:01-DRB1*04:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 95  A*30:01:01-B*51:01:01-C*16:02:01-DRB1*11:03:01-DQB1*03:02:01  Poland BMR 0.002123,595
 96  A*66:01:01-B*51:01:01-C*16:02:01-DRB1*11:02:01-DQB1*03:19:01  Poland BMR 0.002123,595
 97  A*68:01:01-B*51:01:01-C*16:02:01-DRB1*13:02:01-DQB1*03:03:02  Poland BMR 0.002123,595
 98  A*68:01:01-B*51:01:01-C*16:02:01-DRB1*14:54:01-DQB1*02:02:01  Poland BMR 0.002123,595
 99  A*68:01:02-B*51:01:01-C*16:02:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.002123,595
 100  A*24:02:01-B*51:01:01-C*16:02:01-DRB1*04:05:01-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 113) 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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