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 349) records   Pages: 1 2 3 4 of 4  

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*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
 6  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
 7  B*37:01-DRB1*10:01-DQB1*05:01  South Korea pop 3 1.3000485
 8  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 1.2915271
 9  A*69:01-B*37:01-DRB1*10:01  Gaza 1.282042
 10  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India UCBB_Central Indian HLA 1.27444,204
 11  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
 12  B*37:01-C*06:02-DRB1*10:01  South Korea pop 3 1.2000485
 13  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
 14  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 15  A*01:01:01-B*37:01:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 16  B*37:01:01-C*06:02:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 17  B*37:01:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 18  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Southeast Asian 1.034527,978
 19  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  South Korea pop 3 1.0000485
 20  A*01:01-B*37:01-DRB1*10:01  South Korea pop 3 1.0000485
 21  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
 22  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Korean 0.923177,584
 23  A*01:01-B*37:01-DRB1*10:01-DQB1*02:01  Iran Yazd 0.892956
 24  A*02:01-B*37:01-DRB1*10:01-DQB1*05:01  Iran Yazd 0.892956
 25  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.88901,772
 26  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
 27  A*01:01-B*37:01-C*03:02-DRB1*10:01-DQB1*05:02  Iran Gorgan 0.780064
 28  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
 29  A*02:11-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.5535271
 30  A*01:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - China minority 0.54401,282
 31  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
 32  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
 33  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
 34  A*01:01-B*37:01-DRB1*10:01-DQB1*03:01  Iran Tabriz Azeris 0.515597
 35  A*01:02-B*37:01-DRB1*10:01-DQB1*03:01  Iran Tabriz Azeris 0.515597
 36  A*02:01-B*37:01-DRB1*10:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 37  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 38  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Italy pop 5 0.4400975
 39  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
 40  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
 41  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
 42  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
 43  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01  Costa Rica Amerindians (G) 0.4032125
 44  A*11:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.38852,492
 45  A*02:06-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.37902,492
 46  A*03:01-B*37:01-C*01:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.3690271
 47  A*33:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.3690271
 48  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Vietnamese 0.366843,540
 49  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
 50  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Chinese 0.310399,672
 51  A*01:01-B*37:01-C*06:02-DRB1*10:01  Italy pop 5 0.3000975
 52  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.29404,856
 53  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
 54  A*26:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  USA NMDP Caribean Indian 0.273914,339
 55  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
 56  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
 57  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Malay 0.2629951
 58  B*37:01-DRB1*10:01  Italy pop 5 0.2600975
 59  A*01:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - United Kingdom minority 0.24001,043
 60  A*02:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - Netherlands minority 0.23301,374
 61  A*01:01-B*37:01-DRB1*10:01  Hong Kong Chinese cord blood registry 0.23113,892
 62  A*01:01-B*37:01-C*06:02-DRB1*10:01  Japan pop 16 0.229018,604
 63  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
 64  A*01:01-B*37:01-C*06:02-DRB1*10:01  Hong Kong Chinese BMDR 0.20367,595
 65  A*02:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - Romania minority 0.20301,234
 66  A*01:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - Netherlands minority 0.20101,374
 67  A*68:01-B*37:01:01-C*06:02-DRB1*10:01:01-DQB1*05:01:01  England North West 0.2000298
 68  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Japanese 0.199324,582
 69  A*01:01-B*37:01-C*06:02-DRB1*10:01  Poland DKMS 0.194920,653
 70  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
 71  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
 72  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
 73  A*02:11-B*37:01-C*07:01-DRB1*10:01-DQB1*06:04  Malaysia Peninsular Indian 0.1845271
 74  A*11:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 75  A*24:07-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 76  A*31:01-B*37:01-C*04:01-DRB1*10:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 77  A*68:01-B*37:01-C*07:02-DRB1*10:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 78  A*24:02-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.18122,492
 79  A*02:06-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India UCBB_Central Indian HLA 0.18074,204
 80  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
 81  A*01:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - Austria minority 0.17701,698
 82  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
 83  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Italy minority 0.17301,159
 84  A*01:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - Portugal minority 0.17001,176
 85  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
 86  A*03:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.15752,492
 87  A*01:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - Greece minority 0.15501,894
 88  A*32:01-B*37:01-DRB1*10:01-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 89  A*11:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India UCBB_Central Indian HLA 0.15134,204
 90  A*68:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.14502,492
 91  A*01:01-B*37:01-C*07:04-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 92  A*11:01-B*37:01-C*07:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 93  A*02:03:01-B*37:01:01-C*15:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 94  A*11:01:01-B*37:01:01-C*03:03:01-DRB1*10:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 95  A*32:01:01-B*37:01:01-C*05:01:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 96  A*33:03:01-B*37:01:01-C*07:02:01-DRB1*10:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 97  A*01:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - France minority 0.13901,406
 98  A*01:01-B*37:01-DRB1*10:01  Israel Ethiopia Jews 0.13505,928
 99  A*11:01-B*37:01-C*06:02-DRB1*10:01  Germany DKMS - China minority 0.13201,282
 100  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.13003,078

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 349) records   Pages: 1 2 3 4 of 4  


   

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