Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 2,190) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 22  

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  Taiwan Ami 1.000098
 67  B*27:04-C*12:02  Philippines Ivatan 1.000050
 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*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India UCBB_Central Indian HLA 0.89084,204
 72  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
 73  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
 74  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
 75  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
 76  A*32:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:01  Iran Gorgan 0.780064
 77  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.74112,492
 78  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.7380271
 79  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India UCBB_Central Indian HLA 0.72554,204
 80  B*52:01-C*12:02  Mexico Mexico City Mestizo population 0.6993143
 81  A*11-B*52-C*12:02-DRB1*15:02-DQB1*06  Russia Transbaikal Territory Buryats 0.6670150
 82  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
 83  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
 84  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*04:05:01  Nicaragua Mestizo (G) 0.6452155
 85  A*32:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01  Nicaragua Mestizo (G) 0.6452155
 86  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
 87  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
 88  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
 89  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
 90  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
 91  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
 92  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
 93  B*52:01-C*12:02  Italy pop 5 0.5600975
 94  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.55804,856
 95  A*11:01:01-C*12:02:01-DRB1*12:02:01  China Jingpo Minority 0.5550105
 96  A*02:11-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.5535271
 97  B*27:04-C*12:02  USA Asian pop 2 0.54001,772
 98  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
 99  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
 100  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

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 2,190) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 22  


   

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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