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 326) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Japanese 7.823424,582
 2  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
 3  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*09:01  Japan Central 6.2000371
 4  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
 5  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
 6  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  South Korea pop 3 1.9000485
 7  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Korean 1.869677,584
 8  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
 9  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*05:01  Japan Central 1.5000371
 10  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
 11  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
 12  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 1.256511,446
 13  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India East UCBB 1.09952,403
 14  A*01:01-B*52:01-C*12:02-DRB1*15:02:01-DQB1*06:01  England North West 1.0000298
 15  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.98925,829
 16  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.97701,772
 17  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.89084,204
 18  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.87615,849
 19  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
 20  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.81732,403
 21  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
 22  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.7380271
 23  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.72554,204
 24  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Northeast UCBB 0.6757296
 25  A*11-B*52-C*12:02-DRB1*15:02-DQB1*06  Russia Transbaikal Territory Buryats 0.6670150
 26  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
 27  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
 28  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
 29  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
 30  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
 31  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
 32  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
 33  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.55804,856
 34  A*02:11-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.5535271
 35  A*31:01:02:01-B*52:01:01:02-C*12:02:02-DRB1*15:02-DQB1*06:01  Russia Bashkortostan, Tatars 0.5208192
 36  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.504211,446
 37  A*24:02:13-B*52:01:01-C*12:02:02-DRB1*15:02:02-DQB1*06:01:01  Vietnam Kinh 0.4950101
 38  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.4902714
 39  A*01:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 40  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*02:01  Nicaragua Managua 0.4329339
 41  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQA1*01:05:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 42  A*11:01-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  Russian Federation Vologda Region 0.4202119
 43  A*32:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:02-DQA1*01:03:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 44  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.42003,078
 45  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA NMDP Caribean Indian 0.418114,339
 46  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA NMDP Caribean Indian 0.404314,339
 47  A*02:11-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.403711,446
 48  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01  Kosovo 0.4030124
 49  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.39075,849
 50  A*32:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 51  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Italy minority 0.38301,159
 52  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*04:01  Panama 0.3800462
 53  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.37501,772
 54  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP South Asian Indian 0.3749185,391
 55  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Hispanic pop 2 0.37401,999
 56  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.36884,204
 57  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.358111,446
 58  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.35504,856
 59  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.34955,829
 60  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Italy minority 0.34801,159
 61  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Southeast Asian 0.346127,978
 62  A*02:06-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.34295,849
 63  A*01:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Caribean Hispanic 0.3426115,374
 64  A*33:03-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Northeast UCBB 0.3378296
 65  A*32-B*52-C*12:02-DRB1*15:02-DQB1*06  Russia Transbaikal Territory Buryats 0.3340150
 66  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.32992,403
 67  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Hispanic pop 2 0.32701,999
 68  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*04:01:01  Russia Belgorod region 0.3268153
 69  A*25:01:01-B*52:01:01-C*12:02:02-DRB1*15:02-DQA1*05:05:01-DQB1*06:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 70  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.32482,492
 71  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.32092,492
 72  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.32012,492
 73  A*29:02:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01-DPA1*02:01:04-DPB1*13:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 74  A*02:06-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.29914,204
 75  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.29385,829
 76  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Italy pop 5 0.2900975
 77  A*01:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2880186
 78  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.28765,829
 79  A*02:11:01-B*52:01:01-C*12:02:01-DRB1*15:02:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 80  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.2810356
 81  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*02:01  Russia Karelia 0.27021,075
 82  A*11:01:01-B*52:01-C*12:02:01-DRB1*15:02:01-DQB1*06:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.269728,927
 83  A*01:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Hispanic South or Central American 0.2692146,714
 84  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:02-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 85  A*26:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 86  A*32:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 87  A*01:01:01:01-B*52:01:01:02-C*12:02:02-DRB1*15:02-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.26791,510
 88  A*01:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Mexican or Chicano 0.2639261,235
 89  A*32:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.26225,849
 90  A*68:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.254911,446
 91  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Mexican or Chicano 0.2543261,235
 92  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.25135,849
 93  A*03:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.24804,204
 94  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Colombia Bogotá Cord Blood 0.24791,463
 95  A*02:11-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.24632,492
 96  A*02:01:01:01-B*52:01:01:02-C*12:02:02-DRB1*15:02-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.23791,510
 97  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 98  A*32:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  China Zhejiang Han 0.22881,734
 99  A*29:02:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 100  A*03:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.22201,772

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 326) 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