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 44 (from 44) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*32-B*27-DRB1*15-DQB1*05  Mexico Quintana Roo Rural 2.000050
 2  A*24-B*27-DRB1*15-DQB1*05  Mexico Mexico City Metropolitan Area Rural 0.6579150
 3  A*02-B*27-DRB1*15-DQB1*05  Mexico Tlaxcala, Tlaxcala city 0.5525181
 4  A*24:02:01-B*27:05:02-C*03:04:01-DRB1*15:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 5  A*01:01:01:01-B*27:05:02-C*12:03:01:01-DRB1*15:01:01-DQB1*05:01:01  Russia Bashkortostan, Bashkirs 0.4167120
 6  A*11:01:01-B*27:02:01-C*07:02:01-DRB1*15:01:01-DQA1*01:02:02-DQB1*05:02-DPA1*02:01:01-DPB1*10:01  Russia Belgorod region 0.3268153
 7  A*02:03-B*27:04-C*03:03-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Chinese 0.2577194
 8  A*30:02-B*27:05-C*12:02-DRB1*15:02-DQB1*05:03-DPB1*04:01  Panama 0.1900462
 9  A*11:01-B*27:04-C*12:02-DRB1*15:08-DQB1*05:02  Malaysia Peninsular Indian 0.1845271
 10  A*68:01-B*27:07-C*15:02-DRB1*15:06-DQB1*05:03  India Northeast UCBB 0.1689296
 11  A*33:03:01-B*27:05:02-C*07:01:01-DRB1*15:06:01-DQB1*05:02:01  India Kerala Malayalam speaking 0.1400356
 12  A*11:01-B*27:06-C*07:02-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.1052951
 13  A*11:01-B*27:07-C*15:02-DRB1*15:02-DQA1*01:01-DQB1*05:02-DPB1*03:01  Sri Lanka Colombo 0.0700714
 14  A*11:02:01-B*27:04:01-C*12:02:02-DRB1*15:01:01-DQB1*05:03:01  China Zhejiang Han 0.05771,734
 15  A*01:01-B*27:02-C*02:02-DRB1*15:01-DQB1*05:02-DPB1*09:01  Russia Karelia 0.05651,075
 16  A*02:03-B*27:04-C*12:02-DRB1*15:01-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 17  A*11:01-B*27:04-C*12:02-DRB1*15:01-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 18  A*11:01-B*27:04-C*12:02-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 19  A*24:02-B*27:06-C*07:01-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 20  A*24:02-B*27:07-C*04:01-DRB1*15:01-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 21  A*24:07-B*27:03-C*01:02-DRB1*15:05-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 22  A*24:07-B*27:06-C*01:02-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 23  A*24:07-B*27:06-C*04:03-DRB1*15:29-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 24  A*02:01-B*27:06-C*03:04-DRB1*15:02-DQB1*05:01  USA Asian pop 2 0.04401,772
 25  A*24:02:01-B*27:02:01-C*02:02:02-DRB1*15:01:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 26  A*26:01:01-B*27:06:01-C*03:04:01-DRB1*15:02:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 27  A*24:07-B*27:05-C*02:02-DRB1*15:06-DQB1*05:02  India Central UCBB 0.02384,204
 28  A*03:01-B*27:05-C*02:02-DRB1*15:02-DQB1*05:03  India East UCBB 0.02082,403
 29  A*31:01-B*27:05-C*02:02-DRB1*15:06-DQB1*05:02  India East UCBB 0.02082,403
 30  A*26:01-B*27:05-C*02:02-DRB1*15:02-DQB1*05:03  India Central UCBB 0.01274,204
 31  A*24:07-B*27:02-C*14:02-DRB1*15:02-DQB1*05:03  India Central UCBB 0.01194,204
 32  A*02:01-B*27:06-C*03:04-DRB1*15:02-DQB1*05:02  USA Asian pop 2 0.01101,772
 33  A*24:02-B*27:06-C*03:04-DRB1*15:02-DQB1*05:02  USA Asian pop 2 0.01101,772
 34  A*24:07-B*27:06-C*03:04-DRB1*15:02-DQB1*05:01  USA Asian pop 2 0.01101,772
 35  A*26:01-B*27:06-C*03:04-DRB1*15:02-DQB1*05:01  USA Asian pop 2 0.01101,772
 36  A*02:01:01-B*27:05:02-C*02:02:02-DRB1*15:01:01-DQB1*05:02:01  Poland BMR 0.009623,595
 37  A*01:01-B*27:05-C*02:02-DRB1*15:06-DQB1*05:02  India West UCBB 0.00865,829
 38  A*24:02-B*27:05-C*02:02-DRB1*15:06-DQB1*05:02  India West UCBB 0.00865,829
 39  A*24:02-B*27:07-C*15:02-DRB1*15:06-DQB1*05:02  India North UCBB 0.00855,849
 40  A*24:33-B*27:05-C*15:02-DRB1*15:06-DQB1*05:02  India North UCBB 0.00855,849
 41  A*24:02-B*27:02-C*02:02-DRB1*15:02-DQB1*05:03  India South UCBB 0.004411,446
 42  A*33:03-B*27:04-C*03:02-DRB1*15:01-DQB1*05:02  India South UCBB 0.004411,446
 43  A*68:01-B*27:05-C*02:02-DRB1*15:01-DQB1*05:02  India South UCBB 0.004411,446
 44  A*26:01-B*27:05-C*02:02-DRB1*15:06-DQB1*05:02  India South UCBB 0.002811,446

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