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 101 to 160 (from 160) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*02:131-B*15:02-C*08:01-DRB1*04:03-DQB1*03:02  India West UCBB 0.00635,829
 102  A*02:131-B*07:06-C*07:02-DRB1*11:04-DQB1*03:01  India South UCBB 0.005611,446
 103  A*02:131-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.005411,446
 104  A*02:131-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.005111,446
 105  A*02:13-B*40:02-C*03:03-DRB1*14:05  Japan pop 16 0.005018,604
 106  A*02:131-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India South UCBB 0.004811,446
 107  A*02:131-B*40:06-C*15:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.004711,446
 108  A*02:131-B*07:06-C*07:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.004611,446
 109  A*02:131-B*07:06-C*07:02-DRB1*08:02-DQB1*04:02  India South UCBB 0.004411,446
 110  A*02:131-B*07:06-C*07:02-DRB1*12:01-DQB1*03:01  India South UCBB 0.004411,446
 111  A*02:131-B*07:06-C*07:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.004411,446
 112  A*02:131-B*07:06-C*07:02-DRB1*16:01-DQB1*05:02  India South UCBB 0.004411,446
 113  A*02:131-B*07:06-C*14:02-DRB1*14:54-DQB1*05:03  India South UCBB 0.004411,446
 114  A*02:131-B*13:01-C*04:03-DRB1*14:10-DQB1*05:02  India South UCBB 0.004411,446
 115  A*02:131-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01  India South UCBB 0.004411,446
 116  A*02:131-B*15:01-C*01:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.004411,446
 117  A*02:131-B*15:01-C*03:03-DRB1*01:01-DQB1*05:01  India South UCBB 0.004411,446
 118  A*02:131-B*15:01-C*12:03-DRB1*03:01-DQB1*02:01  India South UCBB 0.004411,446
 119  A*02:131-B*15:02-C*08:01-DRB1*14:04-DQB1*05:03  India South UCBB 0.004411,446
 120  A*02:131-B*15:05-C*03:03-DRB1*08:02-DQB1*04:02  India South UCBB 0.004411,446
 121  A*02:131-B*15:05-C*03:03-DRB1*15:01-DQB1*06:02  India South UCBB 0.004411,446
 122  A*02:131-B*15:05-C*07:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.004411,446
 123  A*02:131-B*18:01-C*12:03-DRB1*08:02-DQB1*04:02  India South UCBB 0.004411,446
 124  A*02:131-B*27:02-C*12:03-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 125  A*02:131-B*27:04-C*15:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.004411,446
 126  A*02:131-B*35:01-C*04:01-DRB1*12:01-DQB1*03:01  India South UCBB 0.004411,446
 127  A*02:131-B*35:03-C*12:03-DRB1*04:03-DQB1*03:02  India South UCBB 0.004411,446
 128  A*02:131-B*35:03-C*14:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.004411,446
 129  A*02:131-B*35:08-C*04:01-DRB1*04:03-DQB1*03:02  India South UCBB 0.004411,446
 130  A*02:131-B*37:01-C*06:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.004411,446
 131  A*02:131-B*37:01-C*12:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 132  A*02:131-B*40:01-C*03:04-DRB1*08:03-DQB1*03:01  India South UCBB 0.004411,446
 133  A*02:131-B*40:01-C*12:03-DRB1*08:03-DQB1*03:01  India South UCBB 0.004411,446
 134  A*02:131-B*40:01-C*15:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.004411,446
 135  A*02:131-B*40:06-C*01:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.004411,446
 136  A*02:131-B*40:06-C*03:04-DRB1*03:01-DQB1*02:01  India South UCBB 0.004411,446
 137  A*02:131-B*40:06-C*07:04-DRB1*15:01-DQB1*06:01  India South UCBB 0.004411,446
 138  A*02:131-B*40:06-C*12:03-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 139  A*02:131-B*40:06-C*15:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 140  A*02:131-B*40:06-C*15:58-DRB1*15:02-DQB1*06:01  India South UCBB 0.004411,446
 141  A*02:131-B*44:03-C*07:06-DRB1*14:54-DQB1*05:03  India South UCBB 0.004411,446
 142  A*02:131-B*51:01-C*01:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.004411,446
 143  A*02:131-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 144  A*02:131-B*51:01-C*14:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.004411,446
 145  A*02:131-B*51:01-C*15:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.004411,446
 146  A*02:131-B*51:01-C*15:04-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 147  A*02:131-B*51:01-C*16:02-DRB1*04:01-DQB1*03:02  India South UCBB 0.004411,446
 148  A*02:131-B*51:01-C*16:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.004411,446
 149  A*02:131-B*51:06-C*14:02-DRB1*08:02-DQB1*03:01  India South UCBB 0.004411,446
 150  A*02:131-B*51:06-C*14:02-DRB1*15:02-DQB1*05:03  India South UCBB 0.004411,446
 151  A*02:131-B*55:01-C*03:03-DRB1*14:54-DQB1*05:03  India South UCBB 0.004411,446
 152  A*02:131-B*51:06-C*14:02-DRB1*15:06-DQB1*05:02  India South UCBB 0.004311,446
 153  A*02:131-B*56:01-C*01:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.004311,446
 154  A*02:131-B*51:01-C*15:02-DRB1*12:01-DQB1*03:01  India South UCBB 0.004211,446
 155  A*02:131-B*51:06-C*14:02-DRB1*04:10-DQB1*04:02  India South UCBB 0.004211,446
 156  A*02:131-B*51:01-C*15:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.003811,446
 157  A*02:131-B*07:06-C*07:02-DRB1*01:01-DQB1*05:01  India South UCBB 0.003111,446
 158  A*02:131-B*52:01-C*12:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.00275,829
 159  A*02:131-B*35:03-C*04:01-DRB1*11:08-DQB1*03:01  India South UCBB 0.002611,446
 160  A*02:131-B*13:01-C*04:03-DRB1*07:01-DQB1*03:03  India South UCBB 0.002111,446

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).


Displaying 101 to 160 (from 160) records   Pages: 1 2 of 2  


   

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