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 : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 1,726) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 18  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01-B*37:01:01-C*06:02:01  South African Indian population 4.000050
 2  A*02:06-B*37:01-DRB1*10:01  Malaysia Champa 3.448329
 3  A*02:07-B*37:01-DRB1*10:01  Malaysia Champa 3.448329
 4  A*01:01-B*37:01-DRB1*10:01  Sweden Northern Sami 3.1000154
 5  A*23:01-B*37:01  Cuba Caucasian 2.100070
 6  B*37:01-C*06:02  USA Caucasian pop 2 2.1000265
 7  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 1.95162,492
 8  A*01:01-B*37:01-DRB1*12:02  Malaysia Mandailing 1.851927
 9  A*01:01:01-B*37:01-DRB1*07:01:01  Cape Verde Northwestern Islands 1.600062
 10  A*01:01-B*37:01-C*18:01  India Mumbai Maratha 1.600091
 11  B*37:01-C*06:02  Ireland Northern 1.60001,000
 12  A*30:02:01-B*37:01:01-C*07:01:01-DRB1*10:01:01-DQB1*06:04:01-DPA1*02:01:08-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 13  A*24:02-B*37:01-C*06:02-DRB1*08:01  Russia Bering Island Aleuts 1.4423104
 14  B*37:01-C*06:02  Mexico Mexico City Mestizo population 1.3986143
 15  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP South Asian Indian 1.3953185,391
 16  A*30:01-B*37:01-C*02:10-DRB1*11:02  Brazil Vale do Ribeira Quilombos 1.3889144
 17  B*37:01-C*06:02  USA Asian pop 2 1.36401,772
 18  A*01:01-B*37:01-DRB1*04:07  Azores Oriental Islands 1.300043
 19  B*37:01-C*06:02  Japan Central 1.3000371
 20  B*37:01-DRB1*10:01-DQB1*05:01  South Korea pop 3 1.3000485
 21  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 1.2915271
 22  A*01:01:01-B*37:01:01-C*06:02:01  England Blood Donors of Mixed Ethnicity 1.2905519
 23  A*69:01-B*37:01-DRB1*10:01  Gaza 1.282042
 24  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India UCBB_Central Indian HLA 1.27444,204
 25  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 1.2605714
 26  A*01:01-B*37:01-C*06:02-DRB1*16:01-DQA1*01:02-DQB1*05:02  Kosovo 1.2100124
 27  B*37:01-C*06:02-DRB1*10:01  South Korea pop 3 1.2000485
 28  A*03:01:01-B*37:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 1.1765170
 29  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
 30  A*01:01-B*37:01  Ireland Northern 1.10001,000
 31  A*01:01-B*37:01-C*06:02  South Korea pop 3 1.1000485
 32  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 33  A*01:01:01-B*37:01:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 34  B*37:01:01-C*06:02:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 35  B*37:01:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 36  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Southeast Asian 1.034527,978
 37  A*01:01:01-B*37:01:01-C*14:02:01  South African Mixed ancestry 1.000050
 38  A*01:01-B*37:01:01-C*06:02-DRB1*15:01-DQB1*06:02:01  England North West 1.0000298
 39  A*01:01-B*37:01-C*06:02  Ireland Northern 1.00001,000
 40  A*01:01-B*37:01-C*06:02  Italy pop 5 1.0000975
 41  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  South Korea pop 3 1.0000485
 42  A*01:01-B*37:01-DRB1*10:01  South Korea pop 3 1.0000485
 43  A*02:01:01-B*37:01:01-C*12:03:01  South African Indian population 1.000050
 44  A*03:01:01-B*37:01:01-C*04:01:01  South African Indian population 1.000050
 45  A*11:01:01-B*37:01:01-C*12:02:02  South African Indian population 1.000050
 46  A*23:01-B*37:01-DRB1*14:01:01  Portugal Center 1.000050
 47  A*32:01-B*37:01-DRB1*15:01:01  Portugal Center 1.000050
 48  A*68:01:02-B*37:01:01-C*04:03:01  South African Indian population 1.000050
 49  A*01:01:01-B*37:01:01  China Jingpo Minority 0.9900105
 50  A*01:01:01-B*37:01:01-C*06:02:01  China Jingpo Minority 0.9900105
 51  B*37:01:01-C*06:02:01  China Jingpo Minority 0.9800105
 52  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
 53  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Korean 0.923177,584
 54  A*01:01-B*37:01-DRB1*04:01-DQB1*06:04  Iran Yazd 0.892956
 55  A*01:01-B*37:01-DRB1*10:01-DQB1*02:01  Iran Yazd 0.892956
 56  A*02:01-B*37:01-DRB1*10:01-DQB1*05:01  Iran Yazd 0.892956
 57  A*11:01-B*37:01-DRB1*15:01-DQB1*03:01  Iran Yazd 0.892956
 58  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.88901,772
 59  A*01:01-B*37:01  USA Asian pop 2 0.87401,772
 60  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
 61  A*01:01-B*37:01-C*03:02-DRB1*10:01-DQB1*05:02  Iran Gorgan 0.780064
 62  A*01:02-B*37:01-C*04:01-DRB1*03:01-DQB1*02:01  Iran Gorgan 0.780064
 63  A*01:01-B*37:01-C*06:02-DRB1*11:04-DQB1*03:01  Mexico Mexico City Mestizo population 0.6993143
 64  B*37:01-C*06:02-DRB1*11:04-DQB1*03:01  Mexico Mexico City Mestizo population 0.6993143
 65  A*02:01:01-B*37:01:01-C*07:01:01-DRB1*14:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 66  B*37:01-C*06:02  Italy pop 5 0.6700975
 67  B*37:01-C*06:02  Mexico Mexico City Mestizo pop 2 0.6400234
 68  A*01:01-B*37:01-C*06:02-DRB1*03:01-DQB1*02:01-DPB1*15:01  Tanzania Maasai 0.6390336
 69  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
 70  A*02:01-B*37:01-DRB1*04:07-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 71  A*02:11-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.5535271
 72  A*01:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - China minority 0.54401,282
 73  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
 74  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQA1*03:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.5210496
 75  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
 76  A*01:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*13:05:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.5208192
 77  A*01:01-B*37:01-DRB1*10:01-DQB1*03:01  Iran Tabriz Azeris 0.515597
 78  A*01:02-B*37:01-DRB1*10:01-DQB1*03:01  Iran Tabriz Azeris 0.515597
 79  A*02:01-B*37:01-DRB1*10:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 80  A*11:01:01-B*37:01:01-C*07:01:01-DRB1*15:02:01-DQB1*05:01:01  Vietnam Kinh 0.4950101
 81  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*15:01  Costa Rica African -Caribbean (G) 0.4902102
 82  A*33:03:01-B*37:01:01-C*02:10-DRB1*15:03  Costa Rica African -Caribbean (G) 0.4902102
 83  B*37:01-C*06:02  USA Hispanic pop 2 0.47701,999
 84  A*03:01-B*37:01-DRB1*11:01  New Zealand Maori with Admixed History 0.4762105
 85  A*01:01-B*37:01-DRB1*11:04  Israel Morocco Jews 0.474036,718
 86  A*32:01:01-B*37:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 87  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 88  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*11:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.4525221
 89  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*15:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 0.4525221
 90  A*01:01-B*37:01-DRB1*11:04  Israel USA Jews 0.44506,058
 91  A*02:01:01-B*37:01:01-C*06:02:01  England Blood Donors of Mixed Ethnicity 0.4431519
 92  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Italy pop 5 0.4400975
 93  A*23:01-B*37:01-C*07:01-E*01:01:01-F*01:03:01-G*01:01-DRB1*07:01-DQA1*01:02-DQB1*03:01  Portugal Azores Terceira Island 0.4386130
 94  B*37:01-C*06:02-DRB1*01:03-DQB1*05:01  Mexico Mexico City Mestizo pop 2 0.4300234
 95  A*26:01-B*37:01-C*06:02-DRB1*01:03-DQB1*05:01  Mexico Mexico City Mestizo pop 2 0.4274234
 96  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.4210356
 97  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
 98  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
 99  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
 100  A*01:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*03:01:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120

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 1,726) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 18  


   

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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