Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 1,968) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 20  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*27:04-C*12:02  Taiwan Pazeh 10.900055
 2  A*24:02-B*52:01-C*12:02  Japan pop 5 10.7000117
 3  B*52:01-C*12:02  Japan Central 10.5000371
 4  B*27:04-C*12:02  Taiwan Puyuma 9.000050
 5  A*24:02-B*52:01-C*12:02-DRB1*15:02  Japan pop 16 8.377018,604
 6  A*11:02-C*12:02  Taiwan Pazeh 8.200055
 7  B*27:04-C*12:02  Taiwan Atayal 8.0000106
 8  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Japanese 7.823424,582
 9  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
 10  B*27:04-C*12:02  Taiwan Siraya 6.900051
 11  A*11:01-B*15:07-C*12:02-DRB1*12:02  China Yunnan Hani 6.8000150
 12  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*09:01  Japan Central 6.2000371
 13  A*11:02-C*12:02  Taiwan Siraya 5.900051
 14  B*53:03-C*12:02:01  India West Bhil 5.800050
 15  A*68:01:01-B*40:06-C*12:02:01  India West Bhil 4.900050
 16  A*11:02-C*12:02  Philippines Ivatan 4.000050
 17  A*24:02-C*12:02  Taiwan Siraya 3.900051
 18  A*11:02-C*12:02  Taiwan Atayal 3.8000106
 19  A*11:02-B*27:04-C*12:02-DRB1*09:01  China Yunnan Province Han 3.5000101
 20  A*24:02-C*12:02  Taiwan Puyuma 3.400050
 21  B*52:01-C*12:02  USA Asian pop 2 3.35401,772
 22  A*24:02-C*12:02  Taiwan Atayal 3.3000106
 23  A*11:02-C*12:02  Taiwan Tao 3.000050
 24  B*15:25-C*12:02  Philippines Ivatan 3.000050
 25  B*27:04-C*12:02  Taiwan Tao 3.000050
 26  B*27:04-C*12:02  Taiwan Tsou 2.900051
 27  B*40:02-C*12:02  Taiwan Siraya 2.900051
 28  A*01:01-B*52:01-C*12:02-DRB1*15:02  Russia Bering Island Aleuts 2.8846104
 29  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
 30  A*02:06-C*12:02  Taiwan Puyuma 2.800050
 31  A*11:02-C*12:02  Taiwan Puyuma 2.800050
 32  A*11:01-B*15:07-C*12:02-DRB1*12:02  China Yunnan Bulang 2.6000116
 33  B*52:01-C*12:02-DRB1*15:02  South Korea pop 3 2.4000485
 34  A*24:02-B*52:01-C*12:02  South Korea pop 3 2.1000485
 35  A*11:01:01-B*40:06:01-C*12:02:02  South African Indian population 2.000050
 36  A*24:02:01-B*52:01:01-C*12:02:02  South African Indian population 2.000050
 37  A*26:01-C*12:02  Taiwan Tsou 2.000051
 38  B*27:04-C*12:02  Taiwan Minnan pop 1 2.0000102
 39  B*52:01-C*12:02  Tunisia 2.0000100
 40  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
 41  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  South Korea pop 3 1.9000485
 42  B*52:01-C*12:02  USA Hispanic 1.9000234
 43  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Korean 1.869677,584
 44  A*11:02-C*12:02  Taiwan Hakka 1.800055
 45  A*24:02-C*12:02  Taiwan Pazeh 1.800055
 46  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
 47  B*52:01:01-C*12:02:01-DRB1*12:02:01  China Jingpo Minority 1.5620105
 48  A*11:02-C*12:02  Taiwan Minnan pop 1 1.5000102
 49  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*05:01  Japan Central 1.5000371
 50  B*52:01-C*12:02  USA Asian 1.5000358
 51  B*52:01:01-C*12:02:01  China Jingpo Minority 1.4710105
 52  A*01:06-B*44:04-C*12:02:03  India West Coast Parsi 1.400050
 53  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
 54  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
 55  B*52:01-C*12:02  USA Hispanic pop 2 1.22901,999
 56  A*24:02:01-B*52:01:01-C*12:02-DRB1*04:03:01  South Africa Caucasians 1.1100102
 57  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 1.1070271
 58  A*11:01:01-C*12:02:01  China Jingpo Minority 1.0640105
 59  A*01:01-B*52:01-C*12:02-DRB1*15:02:01-DQB1*06:01  England North West 1.0000298
 60  A*02:01:01-B*15:01:01-C*12:02:02  South African Mixed ancestry 1.000050
 61  A*11:01:01-B*07:02:01-C*12:02:02  South African Indian population 1.000050
 62  A*11:01:01-B*37:01:01-C*12:02:02  South African Indian population 1.000050
 63  A*11:02-C*12:02  Taiwan Ami 1.000098
 64  A*23:01:01-B*52:01:01-C*12:02:02  South African Mixed ancestry 1.000050
 65  A*68:01:02-B*52:01:01-C*12:02:02  South African Indian population 1.000050
 66  B*27:04-C*12:02  Philippines Ivatan 1.000050
 67  B*27:04-C*12:02  Taiwan Ami 1.000098
 68  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.97701,772
 69  A*24:11N-B*35:01-C*12:02-DRB1*04:03-DQA1*01:02-DQB1*03:02  United Arab Emirates Abu Dhabi 0.960052
 70  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
 71  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
 72  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
 73  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
 74  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
 75  A*32:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:01  Iran Gorgan 0.780064
 76  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.74112,492
 77  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.7380271
 78  B*52:01-C*12:02  Mexico Mexico City Mestizo population 0.6993143
 79  A*11-B*52-C*12:02-DRB1*15:02-DQB1*06  Russia Transbaikal Territory Buryats 0.6670150
 80  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
 81  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
 82  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*04:05:01  Nicaragua Mestizo (G) 0.6452155
 83  A*32:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01  Nicaragua Mestizo (G) 0.6452155
 84  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
 85  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
 86  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
 87  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
 88  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
 89  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
 90  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
 91  B*52:01-C*12:02  Italy pop 5 0.5600975
 92  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.55804,856
 93  A*11:01:01-C*12:02:01-DRB1*12:02:01  China Jingpo Minority 0.5550105
 94  A*02:11-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.5535271
 95  B*27:04-C*12:02  USA Asian pop 2 0.54001,772
 96  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.5376186
 97  A*24:07:01-B*52:01:01-C*12:02:02-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.5376186
 98  A*68:01:02-B*52:01:01-C*12:02:02-DRB1*11:01:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 99  A*02:06:01-B*52:01:01-C*12:02:01-DRB1*12:02:01  China Jingpo Minority 0.5210105
 100  A*11:01:01-B*38:02:01-C*12:02:01-DRB1*12:02:01  China Jingpo Minority 0.5210105

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 1,968) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 20  


   

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.

support@allelefrequencies.net


Valid XHTML 1.0 Transitional