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 88 (from 88) records   Pages: 1 of 1  

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*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  South Korea pop 3 1.9000485
 5  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Korean 1.869677,584
 6  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*05:01  Japan Central 1.5000371
 7  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
 8  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.97701,772
 9  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.81732,403
 10  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
 11  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.72554,204
 12  A*24:02:13-B*52:01:01-C*12:02:02-DRB1*15:02:02-DQB1*06:01:01  Vietnam Kinh 0.4950101
 13  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
 14  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
 15  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.39075,849
 16  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
 17  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.358111,446
 18  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.34955,829
 19  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Italy minority 0.34801,159
 20  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
 21  A*24-B*52-C*12:02-DRB1*15:01-DQB1*06  Russia Transbaikal Territory Buryats 0.3340150
 22  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.32092,492
 23  A*24:02:01-B*52:01:01-C*12:02:01-DRB1*15:01:04-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 24  A*24:02-B*52:01-C*12:02-DRB1*15:01-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.2801714
 25  A*24:02:13-B*52:01:01-C*12:02:02-DRB1*15:01:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 26  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.21204,856
 27  A*24:02:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 28  A*24:02-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 29  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 30  A*24:02:01-B*52:01-C*12:02:01-DRB1*15:02:01-DQB1*06:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.151928,927
 31  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Middle Eastern or North Coast of Africa 0.151270,890
 32  A*24:07-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 33  A*24:02-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.125111,446
 34  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*02:01  Russia Karelia 0.11841,075
 35  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*13:01  Japan pop 17 0.10003,078
 36  A*24:02:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  China Zhejiang Han 0.08651,734
 37  A*24:07-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.08654,204
 38  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Colombia Bogotá Cord Blood 0.08401,463
 39  A*24:02-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.08055,829
 40  A*24:02-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India Central UCBB 0.07564,204
 41  A*24:07-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.07472,492
 42  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.07003,078
 43  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*05:01  Japan pop 17 0.07003,078
 44  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*14:01  Japan pop 17 0.07003,078
 45  A*24:02:01-B*52:01:01:02-C*12:02:02-DRB1*15:02-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.06621,510
 46  A*24:02-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.05912,492
 47  A*24:07-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.04702,403
 48  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Hispanic South or Central American 0.0465146,714
 49  A*24:02-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.04502,403
 50  A*24:07-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.04475,829
 51  A*24:02:01:01-B*52:01:01:02-C*12:02:02-DRB1*15:02-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.04001,510
 52  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 53  A*24:02-B*52:01-C*12:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 54  A*24:02-B*52:01-C*12:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 55  A*24:02-B*52:01-C*12:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 56  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:02-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 57  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:02-DQB1*06:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 58  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*02:02  Japan pop 17 0.03003,078
 59  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 60  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 61  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 62  A*24:20-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 63  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Caribean Black 0.028033,328
 64  A*24:07-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.02732,403
 65  A*24:07-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.02462,492
 66  A*24:07-B*52:01-C*12:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.02342,492
 67  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP European Caucasian 0.02231,242,890
 68  A*24:02-B*52:01-C*12:02-DRB1*15:01-DQB1*06:03  India East UCBB 0.02082,403
 69  A*24:281-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.02082,403
 70  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Caribean Hispanic 0.0185115,374
 71  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Mexican or Chicano 0.0179261,235
 72  A*24:07-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.01745,849
 73  A*24:02-B*52:01-C*12:03-DRB1*15:02-DQB1*06:01  India West UCBB 0.01725,829
 74  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*04:01  Germany DKMS - German donors 0.01353,456,066
 75  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP North American Amerindian 0.013235,791
 76  A*24:02-B*52:01-C*12:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.01235,849
 77  A*24:07-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.010111,446
 78  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP African 0.008828,557
 79  A*24:02-B*52:04-C*12:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.00865,829
 80  A*24:07-B*52:01-C*12:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.00865,829
 81  A*24:07-B*52:01-C*12:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.00835,849
 82  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Chinese 0.006999,672
 83  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP African American pop 2 0.0048416,581
 84  A*24:07-B*52:01-C*12:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.004511,446
 85  A*24:02-B*52:04-C*12:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.004411,446
 86  A*24:271-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.004411,446
 87  A*24:07-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.003011,446
 88  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Vietnamese 0.000306043,540

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).




   

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