Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 102) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 1.1490174
 2  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 3  B*37:01:01-C*06:02:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 4  A*01:01:01-C*06:02:01-DRB1*10:01:01  China Jingpo Minority 1.0310105
 5  A*11:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.9490356
 6  A*02:06:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.8065186
 7  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.5960356
 8  A*02:11:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 9  A*03:01:01-B*40:06:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 10  A*01:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*10:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.5208192
 11  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
 12  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 13  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.4210356
 14  A*02:06:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.4210356
 15  A*02:01:01-B*15:01:01-C*06:02:01-DRB1*10:01:01-DQA1*01:05:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 16  A*31:01:02-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 17  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01  Costa Rica Amerindians (G) 0.4032125
 18  A*11:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 19  A*01:01:01-B*37:04:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 20  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.2810356
 21  A*33:03:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.2810356
 22  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 23  A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 24  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 25  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 26  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 27  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 28  A*02:05:01-B*53:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*17:01:01  Saudi Arabia pop 6 (G) 0.194528,927
 29  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.17301,734
 30  A*32:01:01-B*53:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*17:01:01  Saudi Arabia pop 6 (G) 0.166228,927
 31  A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.10951,734
 32  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.10725,266
 33  A*01:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.09931,510
 34  A*02:05:01-B*53:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.096428,927
 35  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.096028,927
 36  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.09385,266
 37  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.089723,595
 38  A*11:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.08091,734
 39  A*11:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.06911,734
 40  A*03:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.06621,510
 41  A*30:01:01-B*13:02:01-C*06:02:01:01-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.06621,510
 42  A*02:06:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.05771,734
 43  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.05771,734
 44  A*24:02:01-B*13:02:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.044423,595
 45  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03355,266
 46  A*11:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 47  A*24:02:01:01-B*13:02:01-C*06:02:01:01-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 48  A*26:01:01-B*51:01:01:01-C*06:02:01:01-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 49  A*68:02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 50  A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03095,266
 51  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 52  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.019323,595
 53  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*10:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 54  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*45:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 55  A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01865,266
 56  A*26:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.014323,595
 57  A*11:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01295,266
 58  A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.012723,595
 59  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*03:01:01  Poland BMR 0.012623,595
 60  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01185,266
 61  A*11:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00945,266
 62  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*06:02:01  Poland BMR 0.009323,595
 63  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.009223,595
 64  A*11:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*45:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00915,266
 65  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*10:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00795,266
 66  A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00705,266
 67  A*26:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00655,266
 68  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*03:02:01  Poland BMR 0.006423,595
 69  A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*19:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00565,266
 70  A*03:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.005123,595
 71  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*03:01:01  Poland BMR 0.004323,595
 72  A*26:01:01-B*13:02:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.004323,595
 73  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*10:01:01-DQB1*03:02:01  Poland BMR 0.004223,595
 74  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*02:02:01  Poland BMR 0.004223,595
 75  A*03:01:01-B*47:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.004223,595
 76  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
 77  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*03:03:02  Poland BMR 0.003723,595
 78  A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*03:03:02  Poland BMR 0.003423,595
 79  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002623,595
 80  A*25:01:01-B*57:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002223,595
 81  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 82  A*01:01:01-B*07:02:01-C*06:02:01-DRB1*10:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 83  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 84  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*06:04:01  Poland BMR 0.002123,595
 85  A*01:01:01-B*37:01:03-C*06:02:01-DRB1*10:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 86  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*10:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 87  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
 88  A*02:01:01-B*73:01-C*06:02:01-DRB1*10:01:01-DQB1*03:02:02  Poland BMR 0.002123,595
 89  A*11:01:01-B*13:02:01-C*06:02:01-DRB1*10:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 90  A*24:02:01-B*13:02:01-C*06:02:01-DRB1*10:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 91  A*24:02:01-B*51:01:01-C*06:02:01-DRB1*10:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 92  A*25:01:01-B*47:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 93  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*10:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 94  A*33:03:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 95  A*66:01:01-B*50:02-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 96  A*68:01:02-B*13:02:01-C*06:02:01-DRB1*10:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 97  A*68:01:02-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 98  A*32:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.001723,595
 99  A*29:01:01-B*13:02:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.001723,595
 100  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.001623,595

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 102) 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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