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 74 (from 74) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Chinese 1.0309194
 2  A*11:01-B*15:02-C*08:01-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP Chinese 0.802999,672
 3  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*15:01:01-DQB1*06:01:01  China Zhejiang Han 0.37451,734
 4  A*11:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India East UCBB 0.36272,403
 5  A*11:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  USA Asian pop 2 0.31101,772
 6  A*11:01-B*15:02-C*08:01-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP Vietnamese 0.309543,540
 7  A*24:07-B*15:02-C*08:01-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*105:01  South Africa Worcester 0.3000159
 8  A*02:06-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India South UCBB 0.292511,446
 9  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*15:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 10  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.2810356
 11  A*01:01:01-B*15:02:01-C*08:01:01-DRB1*15:01:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 12  A*02:06-B*15:02-C*08:01-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*13:01  Sri Lanka Colombo 0.2101714
 13  A*11:01-B*15:02-C*08:01-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP Southeast Asian 0.199227,978
 14  A*02:61-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 15  A*11:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Malay 0.1706951
 16  A*11:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India Northeast UCBB 0.1689296
 17  A*24:02-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India Northeast UCBB 0.1689296
 18  A*33:03-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India Northeast UCBB 0.1689296
 19  A*11:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India Central UCBB 0.14244,204
 20  A*24:02:01-B*15:02:01-C*08:01:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 21  A*11:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India South UCBB 0.136911,446
 22  A*02:06-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.13652,492
 23  A*01:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India East UCBB 0.12942,403
 24  A*11:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.12472,492
 25  A*02:06-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India Central UCBB 0.11794,204
 26  A*11:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India West UCBB 0.10355,829
 27  A*11:01-B*15:02-C*08:01-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP South Asian Indian 0.1024185,391
 28  A*11:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India North UCBB 0.09975,849
 29  A*24:02-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  USA Asian pop 2 0.08901,772
 30  A*26:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.08032,492
 31  A*02:06-B*15:02-C*08:01-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 32  A*02:06-B*15:02-C*08:01-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*14:01  Sri Lanka Colombo 0.0700714
 33  A*02:06-B*15:02-C*08:01-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*28:01  Sri Lanka Colombo 0.0700714
 34  A*02:06-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India North UCBB 0.05985,849
 35  A*02:06-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India West UCBB 0.05725,829
 36  A*24:02-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India Central UCBB 0.05304,204
 37  A*02:03-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 38  A*33:03-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 39  A*34:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 40  A*24:02-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.05022,492
 41  A*02:03-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India East UCBB 0.05002,403
 42  A*26:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  USA Asian pop 2 0.04401,772
 43  A*31:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  Germany DKMS - Italy minority 0.04301,159
 44  A*24:02-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India East UCBB 0.04252,403
 45  A*02:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India East UCBB 0.04162,403
 46  A*01:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India South UCBB 0.041411,446
 47  A*11:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 48  A*24:02-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India North UCBB 0.03045,849
 49  A*11:01-B*15:02-C*08:01-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP Filipino 0.029650,614
 50  A*02:07:01-B*15:02:01-C*08:01:01-DRB1*15:01:01-DQB1*06:01:01  China Zhejiang Han 0.02921,734
 51  A*24:02-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India South UCBB 0.025211,446
 52  A*68:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India East UCBB 0.02082,403
 53  A*33:03-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India Central UCBB 0.01984,204
 54  A*02:06-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India East UCBB 0.01822,403
 55  A*24:17-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India West UCBB 0.01735,829
 56  A*31:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India West UCBB 0.01725,829
 57  A*02:03-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India West UCBB 0.01655,829
 58  A*68:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India Central UCBB 0.01654,204
 59  A*01:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India North UCBB 0.01615,849
 60  A*02:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India South UCBB 0.013111,446
 61  A*02:11-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India Central UCBB 0.01274,204
 62  A*68:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.01122,492
 63  A*33:03-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India South UCBB 0.011011,446
 64  A*02:11-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India North UCBB 0.00955,849
 65  A*29:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India West UCBB 0.00865,829
 66  A*11:01-B*15:02-C*08:01-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP Middle Eastern or North Coast of Africa 0.008170,890
 67  A*03:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India South UCBB 0.005611,446
 68  A*24:07-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India South UCBB 0.004411,446
 69  A*32:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India South UCBB 0.004411,446
 70  A*32:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India North UCBB 0.00415,849
 71  A*29:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India South UCBB 0.002311,446
 72  A*11:01-B*15:02-C*08:01-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP Caribean Hispanic 0.0004330115,374
 73  A*11:01-B*15:02-C*08:01-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP African American pop 2 0.0001200416,581
 74  A*11:01-B*15:02-C*08:01-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP European Caucasian 0.00004021,242,890

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.

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