Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
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Displaying 1 to 100 (from 2,264) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 23  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*52:01-C*12:02  Japan pop 5 10.7000117
 2  B*52:01-C*12:02  Japan Central 10.5000371
 3  A*24:02-B*52:01-C*12:02-DRB1*15:02  Japan pop 16 8.377018,604
 4  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Japanese 7.823424,582
 5  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 7.32003,078
 6  B*52-C*12  Pakistan Mixed Sindhi 7.0000101
 7  A*24-B*52-C*12  Brazil Parana Japanese 6.3800192
 8  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*09:01  Japan Central 6.2000371
 9  B*52-C*12  Pakistan Burusho 5.600092
 10  A*24-B*52-C*12  Malaysia Perak Rawa 4.400023
 11  B*52:01-C*12:02  USA Asian pop 2 3.35401,772
 12  A*11-B*52-C*12  Pakistan Mixed Sindhi 3.3000101
 13  A*11-B*52-C*12  Pakistan Karachi Parsi 3.300091
 14  A*01:01-B*52:01-C*12:02-DRB1*15:02  Russia Bering Island Aleuts 2.8846104
 15  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01  United Arab Emirates Abu Dhabi 2.880052
 16  A*01-B*52-C*12-DRB1*15  Macedonia MBMDR - Macedonian Muslims 2.631676
 17  A*01-B*52-C*12-DRB1*15/16-DQB1*06  Spain Majorcans Jews 2.6000103
 18  A*11-B*52-C*12-DRB1*15  Iran pop 4 2.6000855
 19  B*52:01-C*12:02-DRB1*15:02  South Korea pop 3 2.4000485
 20  A*24:02-B*52:01-C*12:02  South Korea pop 3 2.1000485
 21  A*01-B*52-C*12  Italy East Sicily 2.000050
 22  A*11-B*52-C*12  England London Ashkenazi Jews 2.0000500
 23  A*24:02:01-B*52:01:01-C*12:02:02  South African Indian population 2.000050
 24  B*52:01-C*12:02  Tunisia 2.0000100
 25  A*03:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01  United Arab Emirates Abu Dhabi 1.920052
 26  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  South Korea pop 3 1.9000485
 27  B*52:01-C*12:02  USA Hispanic 1.9000234
 28  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Korean 1.869677,584
 29  A*24-B*52-C*12-DRB1*12  Myanmar Kayah 1.818055
 30  A*02:11:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 1.6129186
 31  A*01-B*52-C*12-DRB1*15-DQB1*06  Iraq Kurdistan Region 1.6000209
 32  B*52-C*12  Macedonia 1.5734286
 33  B*52:01:01-C*12:02:01-DRB1*12:02:01  China Jingpo Minority 1.5620105
 34  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*05:01  Japan Central 1.5000371
 35  A*24-B*52-C*12  South Korea pop 1 1.5000324
 36  B*52:01-C*12:02  USA Asian 1.5000358
 37  B*52:01:01-C*12:02:01  China Jingpo Minority 1.4710105
 38  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 1.3250186
 39  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*09:01  USA San Diego 1.3020496
 40  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 1.256511,446
 41  B*52:01-C*12:02  USA Hispanic pop 2 1.22901,999
 42  A*03-B*52-C*12-DRB1*15-DQB1*06  Iraq Kurdistan Region 1.2000209
 43  A*24:02:01-B*52:01:01-C*12:02-DRB1*04:03:01  South Africa Caucasians 1.1100102
 44  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 1.1070271
 45  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India East UCBB 1.09952,403
 46  A*02-B*52-C*12-DRB1*14  Myanmar Rakhine 1.042048
 47  A*11-B*52-C*12-DRB1*11  Myanmar Rakhine 1.042048
 48  A*26-B*52-C*12-DRB1*08  Myanmar Rakhine 1.042048
 49  A*01:01-B*52:01-C*12:02-DRB1*15:02:01-DQB1*06:01  England North West 1.0000298
 50  A*11-B*52-C*12-DRB1*15-DQB1*06  Iraq Kurdistan Region 1.0000209
 51  A*23:01:01-B*52:01:01-C*12:02:02  South African Mixed ancestry 1.000050
 52  A*68:01:02-B*52:01:01-C*12:02:02  South African Indian population 1.000050
 53  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.98925,829
 54  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.97701,772
 55  A*32:01-B*52:01-C*12:02-DRB1*15:01-DQA1*01:02-DQB1*06:01  United Arab Emirates Abu Dhabi 0.960052
 56  A*01-B*52-C*12-DRB1*14  Myanmar Shan 0.926054
 57  A*02-B*52-C*12-DRB1*12  Myanmar Kayah 0.909055
 58  A*02-B*52-C*12-DRB1*12  Myanmar Chin 0.909055
 59  A*11-B*52-C*12-DRB1*14  Myanmar Chin 0.909055
 60  A*11-B*52-C*12-DRB1*15  Myanmar Chin 0.909055
 61  A*33-B*52-C*12-DRB1*04  Myanmar Chin 0.909055
 62  A*02-B*52-C*12-DRB1*03  Iran pop 4 0.9000855
 63  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.89084,204
 64  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.87615,849
 65  A*03:01-B*52:01:01-C*12:02:02-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.8403119
 66  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP South Asian Indian 0.8342185,391
 67  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.81732,403
 68  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.8065186
 69  A*11-B*52-C*12-DRB1*12  Myanmar Kachin 0.794063
 70  A*24-B*52-C*12-DRB1*12  Myanmar Mon 0.781064
 71  A*31-B*52-C*12-DRB1*12  Myanmar Mon 0.781064
 72  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.78003,078
 73  A*32:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:01  Iran Gorgan 0.780064
 74  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.74112,492
 75  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.7380271
 76  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.72554,204
 77  B*52:01-C*12:02  Mexico Mexico City Mestizo population 0.6993143
 78  A*31-B*52-C*12-DRB1*08-DQA1*04-DQB1*04  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 79  B*52-C*12  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 80  B*52-C*12-DRB1*08-DQA1*04-DQB1*04  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 81  A*02-B*52-C*12-DRB1*14-DQB1*05  Albania pop 2 0.6800432
 82  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Northeast UCBB 0.6757296
 83  A*11-B*52-C*12:02-DRB1*15:02-DQB1*06  Russia Transbaikal Territory Buryats 0.6670150
 84  A*01:01:01-B*52:01:01-C*12:02:02-DRB1*15:02-DQA1*01:03:01-DQB1*06:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.6536153
 85  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02-DQA1*01:03:01-DQB1*06:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.6536153
 86  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*04:05:01  Nicaragua Mestizo (G) 0.6452155
 87  A*32:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01  Nicaragua Mestizo (G) 0.6452155
 88  A*02-B*52-C*12  Brazil Parana Japanese 0.6400192
 89  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Southeast Asian 0.606327,978
 90  A*66:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:01-DQB1*05:01-DPB1*09:01  South Africa Worcester 0.6000159
 91  A*01:01:01-B*52:01:01-C*12:02:02-DRB1*11:01:01-DQB1*06:01:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 92  A*33:03:01-B*52:01:01-C*12:03:01-DRB1*14:02:01-DQB1*03:01:01-DPA1*03:01:01-DPB1*04:02:01  Brazil Rio de Janeiro Parda 0.5882170
 93  A*01:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Middle Eastern or North Coast of Africa 0.583770,890
 94  A*03:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.5750174
 95  A*11:01:01-B*52:01:01-C*12:02:01-DRB1*15:02:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.5750174
 96  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Middle Eastern or North Coast of Africa 0.567370,890
 97  B*52:01-C*12:02  Italy pop 5 0.5600975
 98  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.55804,856
 99  A*02:11-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.5535271
 100  A*11-B*52-C*12-DRB1*15  Macedonia MBMDR - Macedonian 0.54851,283

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 2,264) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 23  


   

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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