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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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 445) records   Pages: 1 2 3 4 5 of 5  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:06-B*37:01-DRB1*10:01  Malaysia Champa 3.448329
 2  A*02:07-B*37:01-DRB1*10:01  Malaysia Champa 3.448329
 3  A*01:01-B*37:01-DRB1*10:01  Sweden Northern Sami 3.1000154
 4  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 1.95162,492
 5  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 1.785911,446
 6  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
 7  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India West UCBB 1.43205,829
 8  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
 9  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Northeast UCBB 1.3514296
 10  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India East UCBB 1.34252,403
 11  B*37:01-DRB1*10:01-DQB1*05:01  South Korea pop 3 1.3000485
 12  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 1.2915271
 13  A*69:01-B*37:01-DRB1*10:01  Gaza 1.282042
 14  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Central UCBB 1.27444,204
 15  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
 16  B*37:01-C*06:02-DRB1*10:01  South Korea pop 3 1.2000485
 17  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
 18  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India North UCBB 1.04995,849
 19  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 20  A*01:01:01-B*37:01:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 21  B*37:01:01-C*06:02:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 22  B*37:01:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 23  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Southeast Asian 1.034527,978
 24  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  South Korea pop 3 1.0000485
 25  A*01:01-B*37:01-DRB1*10:01  South Korea pop 3 1.0000485
 26  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
 27  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Korean 0.923177,584
 28  A*01:01-B*37:01-DRB1*10:01-DQB1*02:01  Iran Yazd 0.892956
 29  A*02:01-B*37:01-DRB1*10:01-DQB1*05:01  Iran Yazd 0.892956
 30  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.88901,772
 31  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
 32  A*01:01-B*37:01-C*03:02-DRB1*10:01-DQB1*05:02  Iran Gorgan 0.780064
 33  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
 34  A*02:11-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.5535271
 35  A*01:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - China minority 0.54401,282
 36  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
 37  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
 38  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
 39  A*01:01-B*37:01-DRB1*10:01-DQB1*03:01  Iran Tabriz Azeris 0.515597
 40  A*01:02-B*37:01-DRB1*10:01-DQB1*03:01  Iran Tabriz Azeris 0.515597
 41  A*02:01-B*37:01-DRB1*10:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 42  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 43  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Italy pop 5 0.4400975
 44  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
 45  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
 46  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
 47  A*31:01:02:01-B*37:01:01-C*03:03:01-DRB1*10:01:01-DQB1*05:01  Russia Bashkortostan, Bashkirs 0.4167120
 48  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01  Costa Rica Amerindians (G) 0.4032125
 49  A*11:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.38852,492
 50  A*02:06-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.37902,492
 51  A*03:01-B*37:01-C*01:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.3690271
 52  A*33:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.3690271
 53  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Vietnamese 0.366843,540
 54  A*11:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 55  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Chinese 0.310399,672
 56  A*01:01-B*37:01-C*06:02-DRB1*10:01  Italy pop 5 0.3000975
 57  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.29404,856
 58  A*33:03:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.2810356
 59  A*26:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  USA NMDP Caribean Indian 0.273914,339
 60  A*11:01:01-B*37:01:01-C*03:04:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 61  A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 62  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Malay 0.2629951
 63  B*37:01-DRB1*10:01  Italy pop 5 0.2600975
 64  A*02:06-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.242611,446
 65  A*01:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - United Kingdom minority 0.24001,043
 66  A*33:03-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.23802,403
 67  A*02:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - Netherlands minority 0.23301,374
 68  A*01:01-B*37:01-DRB1*10:01  Hong Kong Chinese cord blood registry 0.23113,892
 69  A*01:01-B*37:01-C*06:02-DRB1*10:01  Japan pop 16 0.229018,604
 70  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 71  A*02:06-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.21505,829
 72  A*01:01-B*37:01-C*06:02-DRB1*10:01  Hong Kong Chinese BMDR 0.20367,595
 73  A*02:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - Romania minority 0.20301,234
 74  A*11:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.202811,446
 75  A*01:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - Netherlands minority 0.20101,374
 76  A*68:01-B*37:01:01-C*06:02-DRB1*10:01:01-DQB1*05:01:01  England North West 0.2000298
 77  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Japanese 0.199324,582
 78  A*01:01-B*37:01-C*06:02-DRB1*10:01  Poland DKMS 0.194920,653
 79  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 80  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 81  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 82  A*02:11-B*37:01-C*07:01-DRB1*10:01-DQB1*06:04  Malaysia Peninsular Indian 0.1845271
 83  A*11:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 84  A*24:07-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 85  A*31:01-B*37:01-C*04:01-DRB1*10:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 86  A*68:01-B*37:01-C*07:02-DRB1*10:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 87  A*24:02-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.18122,492
 88  A*02:06-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.18074,204
 89  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  USA NMDP American Indian South or Central America 0.17915,926
 90  A*01:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - Austria minority 0.17701,698
 91  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.17301,734
 92  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Italy minority 0.17301,159
 93  A*01:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - Portugal minority 0.17001,176
 94  A*02:06-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Northeast UCBB 0.1689296
 95  A*03:02-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Northeast UCBB 0.1689296
 96  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP European Caucasian 0.15901,242,890
 97  A*03:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.15752,492
 98  A*01:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - Greece minority 0.15501,894
 99  A*32:01-B*37:01-DRB1*10:01-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 100  A*11:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.15134,204

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 445) records   Pages: 1 2 3 4 5 of 5  


   

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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