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 2,586) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 26  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*37  Pakistan Kalash 5.700069
 2  A*02-B*37-C*06:02  Pakistan Kalash 5.700069
 3  A*01:01:01-B*37:01:01-C*06:02:01  South African Indian population 4.000050
 4  A*02:06-B*37:01-DRB1*10:01  Malaysia Champa 3.448329
 5  A*02:07-B*37:01-DRB1*10:01  Malaysia Champa 3.448329
 6  A*01:01-B*37:01-DRB1*10:01  Sweden Northern Sami 3.1000154
 7  A*02-B*37-DRB1*10-DQB1*05  Mexico Veracruz, Coatzacoalcos 2.678655
 8  A*01-B*37-C*06:02-DRB1*10:01-DQB1*05  Russia Transbaikal Territory Buryats 2.3340150
 9  A*23:01-B*37:01  Cuba Caucasian 2.100070
 10  B*37:01-C*06:02  USA Caucasian pop 2 2.1000265
 11  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 1.95162,492
 12  A*01:01-B*37:01-DRB1*12:02  Malaysia Mandailing 1.851927
 13  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 1.785911,446
 14  A*01-B*37-C*06-DRB1*11-DQB1*03  Albania 1.7000160
 15  A*01-B*37-C*06-DRB1*11-DQB1*03  Albania pop 2 1.6900432
 16  A*01-B*37-DRB1*10-DQB1*05  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 17  A*01-B*37-DRB1*15-DQB1*06  Mexico Jalisco, Tlajomulco 1.666730
 18  A*24-B*37-DRB1*10-DQB1*05  Mexico Veracruz, Orizaba 1.666760
 19  A*02-B*37-DRB1*08-DQB1*04  Mexico Colima, Colima city 1.639361
 20  A*01:01:01-B*37:01-DRB1*07:01:01  Cape Verde Northwestern Islands 1.600062
 21  A*01:01-B*37:01-C*18:01  India Mumbai Maratha 1.600091
 22  B*37:01-C*06:02  Ireland Northern 1.60001,000
 23  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
 24  A*24:02-B*37:01-C*06:02-DRB1*08:01  Russia Bering Island Aleuts 1.4423104
 25  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India West UCBB 1.43205,829
 26  B*37:01-C*06:02  Mexico Mexico City Mestizo population 1.3986143
 27  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
 28  A*30:01-B*37:01-C*02:10-DRB1*11:02  Brazil Vale do Ribeira Quilombos 1.3889144
 29  B*37:01-C*06:02  USA Asian pop 2 1.36401,772
 30  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Northeast UCBB 1.3514296
 31  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India East UCBB 1.34252,403
 32  A*01:01-B*37:01-DRB1*04:07  Azores Oriental Islands 1.300043
 33  B*37:01-C*06:02  Japan Central 1.3000371
 34  B*37:01-DRB1*10:01-DQB1*05:01  South Korea pop 3 1.3000485
 35  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 1.2915271
 36  A*01:01:01-B*37:01:01-C*06:02:01  England Blood Donors of Mixed Ethnicity 1.2905519
 37  A*01-B*37-DRB1*15-DQB1*06  Ecuador Amazonia Mixed Ancestry 1.282139
 38  A*69:01-B*37:01-DRB1*10:01  Gaza 1.282042
 39  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Central UCBB 1.27444,204
 40  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
 41  B*37-C*06  Macedonia 1.2238286
 42  A*01-B*37-DRB1*01-DQB1*05  Mexico Hidalgo, Pachuca 1.219541
 43  A*01-B*37-DRB1*10-DQB1*05  Mexico Hidalgo, Pachuca 1.219541
 44  A*02-B*37-DRB1*07-DQB1*02  Mexico Morelos, Cuernavaca 1.219582
 45  A*01:01-B*37:01-C*06:02-DRB1*16:01-DQA1*01:02-DQB1*05:02  Kosovo 1.2100124
 46  A*01-B*37  Russia South Ural Russian 1.2000207
 47  B*37:01-C*06:02-DRB1*10:01  South Korea pop 3 1.2000485
 48  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
 49  A*01-B*37-C*06-DRB1*16  Macedonia MBMDR - Albanian 1.1719128
 50  A*01-B*37-DRB1*16  Albania pop 2 1.1500432
 51  A*02-B*37-DRB1*04-DQB1*03:02  Mexico San Luis Potosi Rural 1.149487
 52  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
 53  A*01-B*37-C*06-DRB1*16-DQB1*05  Albanian Kosovo 1.1400120
 54  A*02-B*37-DRB1*08-DQB1*04  Mexico Colima Rural 1.136443
 55  A*01:01-B*37:01  Ireland Northern 1.10001,000
 56  A*01:01-B*37:01-C*06:02  South Korea pop 3 1.1000485
 57  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India North UCBB 1.04995,849
 58  A*01-B*37  Macedonia 1.0490286
 59  A*01-B*37-C*06  Macedonia 1.0490286
 60  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 61  A*01:01:01-B*37:01:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 62  B*37:01:01-C*06:02:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 63  B*37:01:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 64  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Southeast Asian 1.034527,978
 65  A*01:01:01-B*37:01:01-C*14:02:01  South African Mixed ancestry 1.000050
 66  A*01:01-B*37:01:01-C*06:02-DRB1*15:01-DQB1*06:02:01  England North West 1.0000298
 67  A*01:01-B*37:01-C*06:02  Italy pop 5 1.0000975
 68  A*01:01-B*37:01-C*06:02  Ireland Northern 1.00001,000
 69  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  South Korea pop 3 1.0000485
 70  A*01:01-B*37:01-DRB1*10:01  South Korea pop 3 1.0000485
 71  A*01-B*37-C*06:02-DRB1*15:01-DQB1*06  Russia Transbaikal Territory Buryats 1.0000150
 72  A*01-B*37-DRB1*10  China Shaanxi Province Han 1.000010,000
 73  A*02:01:01-B*37:01:01-C*12:03:01  South African Indian population 1.000050
 74  A*02-B*37-C*06  Italy East Sicily 1.000050
 75  A*03:01:01-B*37:01:01-C*04:01:01  South African Indian population 1.000050
 76  A*11:01:01-B*37:01:01-C*12:02:02  South African Indian population 1.000050
 77  A*23:01-B*37:01-DRB1*14:01:01  Portugal Center 1.000050
 78  A*32:01-B*37:01-DRB1*15:01:01  Portugal Center 1.000050
 79  A*68:01:02-B*37:01:01-C*04:03:01  South African Indian population 1.000050
 80  A*01:01:01-B*37:01:01  China Jingpo Minority 0.9900105
 81  A*01:01:01-B*37:01:01-C*06:02:01  China Jingpo Minority 0.9900105
 82  B*37:01:01-C*06:02:01  China Jingpo Minority 0.9800105
 83  A*01-B*37-DRB1*10-DQB1*05  Mexico Mexico City South 0.961552
 84  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
 85  A*01-B*37-C*06-DRB1*15  Myanmar Shan 0.926054
 86  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Korean 0.923177,584
 87  A*01-B*37-C*06-DRB1*14  Myanmar Chin 0.909055
 88  A*01:01-B*37:01-DRB1*04:01-DQB1*06:04  Iran Yazd 0.892956
 89  A*01:01-B*37:01-DRB1*10:01-DQB1*02:01  Iran Yazd 0.892956
 90  A*02:01-B*37:01-DRB1*10:01-DQB1*05:01  Iran Yazd 0.892956
 91  A*11:01-B*37:01-DRB1*15:01-DQB1*03:01  Iran Yazd 0.892956
 92  A*01-B*37-DRB1*11-DQA1*05-DQB1*03:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.8900112
 93  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.88901,772
 94  A*01:01-B*37:01  USA Asian pop 2 0.87401,772
 95  A*02-B*37-DRB1*07-DQB1*02  Mexico Veracruz, Orizaba 0.833360
 96  A*29-B*37-DRB1*10-DQB1*05  Mexico Veracruz, Orizaba 0.833360
 97  A*01-B*37-DRB1*10-DQB1*05  Mexico Chiapas Rural 0.8264121
 98  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
 99  A*01:01-B*37:01-C*03:02-DRB1*10:01-DQB1*05:02  Iran Gorgan 0.780064
 100  A*01:02-B*37:01-C*04:01-DRB1*03:01-DQB1*02:01  Iran Gorgan 0.780064

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 2,586) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 26  


   

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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