Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 6,956) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 70  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*32:01:01-B*07:02:01-C*01:02:01-DRB1*01:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 2  A*32:01:01-B*07:02:01-C*02:02:02-DRB1*01:01:01-DQB1*06:02:01  Poland BMR 0.004223,595
 3  A*32:01:01-B*07:02:01-C*02:10  South African Mixed ancestry 1.000050
 4  A*32:01:01-B*07:02:01-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.005623,595
 5  A*32:01:01-B*07:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 6  A*32:01:01-B*07:02:01-C*06:02:01-DRB1*04:03:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 7  A*32:01:01-B*07:02:01-C*07:02:01  England Blood Donors of Mixed Ethnicity 0.2287519
 8  A*32:01:01-B*07:02:01-C*07:02:01:03-DRB1*04:07:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.09931,510
 9  A*32:01:01-B*07:02:01-C*07:02:01:03-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 10  A*32:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.18811,510
 11  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 12  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 13  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.000856323,595
 14  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*06:02:01  Poland BMR 0.002223,595
 15  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.005223,595
 16  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*04:07:01-DQA1*02:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 17  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*04:07:01-DQB1*03:01:01  Poland BMR 0.015723,595
 18  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*04:07:01-DQB1*04:02:01  Poland BMR 0.002123,595
 19  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*04:08:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 20  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 21  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.05771,734
 22  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.013123,595
 23  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*03:01:01  India Karnataka Kannada Speaking 0.2870174
 24  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.018123,595
 25  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.013823,595
 26  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*08:03:02-DQB1*03:01:01  Poland BMR 0.001623,595
 27  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.002223,595
 28  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.2760356
 29  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 30  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.014423,595
 31  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*11:19:01-DQB1*02:01:01  Poland BMR 0.002123,595
 32  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.002623,595
 33  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.011723,595
 34  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.007223,595
 35  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*05:02:01  Poland BMR 0.002423,595
 36  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.028123,595
 37  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*15:85-DQB1*06:02:01  Poland BMR 0.002123,595
 38  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.008823,595
 39  A*32:01:01-B*07:02:01-C*07:02:10-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 40  A*32:01:01-B*07:02:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.5208192
 41  A*32:01:01-B*07:04-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 42  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
 43  A*32:01:01-B*07:05:01-C*15:05:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 44  A*32:01:01-B*08:01:01-C*01:02:01-DRB1*04:08-DQB1*03:01:01  Poland BMR 0.002123,595
 45  A*32:01:01-B*08:01:01-C*05:01:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 46  A*32:01:01-B*08:01:01-C*07:01:01-DRB1*01:01:01-DQB1*06:03:01  Poland BMR 0.001923,595
 47  A*32:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.5208192
 48  A*32:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.075623,595
 49  A*32:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 50  A*32:01:01-B*08:01:01-C*07:01:01-DRB1*04:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 51  A*32:01:01-B*08:01:01-C*07:01:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002423,595
 52  A*32:01:01-B*08:01:01-C*07:01:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.000467223,595
 53  A*32:01:01-B*08:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.003623,595
 54  A*32:01:01-B*08:01:01-C*07:01:01-DRB1*11:01:02-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 55  A*32:01:01-B*08:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002423,595
 56  A*32:01:01-B*08:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.000811123,595
 57  A*32:01:01-B*08:01:01-C*07:01:01-DRB1*15:01:01-DQB1*05:02:01  Poland BMR 0.003823,595
 58  A*32:01:01-B*08:01:01-C*07:02:01:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 59  A*32:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.016223,595
 60  A*32:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.090528,927
 61  A*32:01:01-B*08:01:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 62  A*32:01:01-B*13:01:01-C*03:04:01-DRB1*12:02:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 63  A*32:01:01-B*13:01:01-C*12:02:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 64  A*32:01:01-B*13:02:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 65  A*32:01:01-B*13:02:01-C*06:02:01  England Blood Donors of Mixed Ethnicity 0.0963519
 66  A*32:01:01-B*13:02:01-C*06:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.003723,595
 67  A*32:01:01-B*13:02:01-C*06:02:01-DRB1*04:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 68  A*32:01:01-B*13:02:01-C*06:02:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002123,595
 69  A*32:01:01-B*13:02:01-C*06:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002423,595
 70  A*32:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.041123,595
 71  A*32:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002223,595
 72  A*32:01:01-B*13:02:01-C*06:02:01-DRB1*11:01:01-DQB1*06:02:01  Poland BMR 0.002223,595
 73  A*32:01:01-B*13:02:01-C*06:02:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.004223,595
 74  A*32:01:01-B*14:01:01-C*07:117-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 75  A*32:01:01-B*14:01:01-C*08:02:01  England Blood Donors of Mixed Ethnicity 0.6686519
 76  A*32:01:01-B*14:01:01-C*08:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.004323,595
 77  A*32:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.074923,595
 78  A*32:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 79  A*32:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 80  A*32:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*06:02:01  Poland BMR 0.004223,595
 81  A*32:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 82  A*32:01:01-B*14:01:01-C*08:02:01-DRB1*08:02:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 83  A*32:01:01-B*14:01:01-C*08:02:01-DRB1*11:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 84  A*32:01:01-B*14:01:01-C*08:02:01-DRB1*13:03:02-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 85  A*32:01:01-B*14:01:01-C*08:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.001923,595
 86  A*32:01:01-B*14:01:01-C*08:12-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004223,595
 87  A*32:01:01-B*14:02:01-C*07:01:01-DRB1*08:01:01-DQB1*04:02:01  Russia Bashkortostan, Tatars 0.2604192
 88  A*32:01:01-B*14:02:01-C*07:01:02-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 89  A*32:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*02:02:01  Poland BMR 0.002023,595
 90  A*32:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*03:02:01  Poland BMR 0.002123,595
 91  A*32:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*04:02:01  Poland BMR 0.002123,595
 92  A*32:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.4525221
 93  A*32:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.006823,595
 94  A*32:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 95  A*32:01:01-B*14:02:01-C*08:02:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.7000215
 96  A*32:01:01-B*14:02:01-C*08:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.3891521
 97  A*32:01:01-B*14:02:01-C*08:02:01-DRB1*04:04:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 98  A*32:01:01-B*14:02:01-C*08:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002123,595
 99  A*32:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.008523,595
 100  A*32:01:01-B*14:02:01-C*08:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004223,595

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 6,956) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 70  


   

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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