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 78 (from 78) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11:01:01-B*35:01:01-DRB1*11:01:01  Portugal South 2.000049
 2  A*02:01:01-B*35:01:01-DRB1*11:01:01  Cape Verde Northwestern Islands 1.600062
 3  A*03:01:01-B*35:01:01-DRB1*11:01:01  Portugal South 1.000049
 4  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.9300215
 5  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.7020356
 6  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.5620356
 7  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 8  A*11:01:01:01-B*35:01:01-C*04:01:01:05-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.5208192
 9  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Karnataka Kannada Speaking 0.2870174
 10  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 11  A*02:06:01-B*35:01:01-C*03:03:01-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 12  A*24:02:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*06:01  Russia Bashkortostan, Tatars 0.2604192
 13  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.134123,595
 14  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.104823,595
 15  A*11:01:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 16  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.05771,734
 17  A*02:06:01-B*35:01:01-C*03:03:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.05771,734
 18  A*02:07:01-B*35:01:01-C*03:03:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.05771,734
 19  A*24:02:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.05431,510
 20  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.040423,595
 21  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 22  A*26:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 23  A*11:02:01-B*35:01:01-C*03:03:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 24  A*11:02:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 25  A*24:02:01-B*35:01:01-C*03:03:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 26  A*31:01:02-B*35:01:01-C*03:03:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 27  A*24:02:01-B*35:01:01-C*03:03:01-DRB1*11:01:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02465,266
 28  A*02:07:01-B*35:01:01-C*03:03:01-DRB1*11:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01865,266
 29  A*03:02:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.014623,595
 30  A*03:01:01-B*35:01:01-C*05:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.014423,595
 31  A*24:02:01-B*35:01:01-C*03:03:01-DRB1*11:01:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01195,266
 32  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.011523,595
 33  A*11:01:01-B*35:01:01-C*03:03:01-DRB1*11:01:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01025,266
 34  A*26:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.009823,595
 35  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.009623,595
 36  A*02:06:01-B*35:01:01-C*03:03:01-DRB1*11:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 37  A*68:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.009123,595
 38  A*31:01:02-B*35:01:01-C*07:02:01-DRB1*11:01:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00915,266
 39  A*26:14-B*35:01:01-C*03:03:01-DRB1*11:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00825,266
 40  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*06:02:01  Poland BMR 0.008023,595
 41  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.007523,595
 42  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*06:02:01  Poland BMR 0.007223,595
 43  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*11:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00685,266
 44  A*02:06:01-B*35:01:01-C*03:03:01-DRB1*11:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00635,266
 45  A*31:01:02-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.006223,595
 46  A*24:07:01-B*35:01:01-C*03:03:01-DRB1*11:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00575,266
 47  A*01:01:01-B*35:01:01-C*03:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.005623,595
 48  A*11:02:01-B*35:01:01-C*06:02:01-DRB1*11:01:01-DPB1*135:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00505,266
 49  A*03:01:01-B*35:01:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.004823,595
 50  A*33:03:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.004323,595
 51  A*23:01:01-B*35:01:01-C*05:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.004223,595
 52  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*06:03:01  Poland BMR 0.004023,595
 53  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*05:02:01  Poland BMR 0.003823,595
 54  A*24:02:01-B*35:01:01-C*05:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.003423,595
 55  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.003323,595
 56  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*05:02:01  Poland BMR 0.002723,595
 57  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*02:02:01  Poland BMR 0.002423,595
 58  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*05:01:01  Poland BMR 0.002323,595
 59  A*01:01:01-B*35:01:01-C*05:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002223,595
 60  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 61  A*68:01:02-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 62  A*68:01:02-B*35:01:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 63  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 64  A*02:01:01-B*35:01:01-C*15:02:01-DRB1*11:01:01-DQB1*05:03:01  Poland BMR 0.002123,595
 65  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 66  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*05:03:01  Poland BMR 0.002123,595
 67  A*03:02:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 68  A*24:02:01-B*35:01:01-C*07:02:01-DRB1*11:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 69  A*24:02:01-B*35:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 70  A*31:01:02-B*35:01:01-C*05:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 71  A*32:01:01-B*35:01:01-C*02:02:02-DRB1*11:01:01-DQB1*05:03:01  Poland BMR 0.002123,595
 72  A*32:01:01-B*35:01:01-C*05:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 73  A*66:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 74  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 75  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*05:02:01  Poland BMR 0.002023,595
 76  A*68:01:01-B*35:01:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.001923,595
 77  A*01:01:01-B*35:01:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.001723,595
 78  A*26:08-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.000979723,595

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).




   

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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