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 146 (from 146) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*02:01-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*04:02  Germany DKMS - German donors 0.01293,456,066
 102  A*32:01:01-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.012923,595
 103  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.012623,595
 104  A*24:02-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02  India South UCBB 0.012311,446
 105  A*23:01-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02  Germany DKMS - Turkey minority 0.01204,856
 106  A*24:02-B*51:01-C*03:04-DRB1*04:01-DQB1*03:02  India Central UCBB 0.01194,204
 107  A*03:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.01102,411
 108  A*11:19-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02  USA Asian pop 2 0.01101,772
 109  A*24:02-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.01102,411
 110  A*24:07-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02  USA Asian pop 2 0.01101,772
 111  A*32:01-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.01102,411
 112  A*33:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.01102,411
 113  A*01:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*03:01  Germany DKMS - German donors 0.01043,456,066
 114  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP Filipino 0.010350,614
 115  A*31:01:02-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.010023,595
 116  A*03:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 117  A*11:01-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02  India South UCBB 0.009811,446
 118  A*01:01-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02  India South UCBB 0.008711,446
 119  A*03:01-B*07:06-C*03:04-DRB1*04:01-DQB1*03:02  India West UCBB 0.00865,829
 120  A*03:01-B*51:01-C*03:04-DRB1*04:01-DQB1*03:02  India West UCBB 0.00865,829
 121  A*24:02-B*51:01-C*03:04-DRB1*04:01-DQB1*03:02  India West UCBB 0.00865,829
 122  A*26:01-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02  India West UCBB 0.00865,829
 123  A*68:01-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02  India West UCBB 0.00865,829
 124  A*02:06-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02  India North UCBB 0.00855,849
 125  A*68:01-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02  India North UCBB 0.00855,849
 126  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.008223,595
 127  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP Vietnamese 0.008043,540
 128  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP Southeast Asian 0.006927,978
 129  A*02:03-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02  India South UCBB 0.004411,446
 130  A*11:19-B*40:01-C*03:04-DRB1*04:01-DQB1*03:02  India South UCBB 0.004411,446
 131  A*31:01:02-B*40:01:02-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.004323,595
 132  A*01:01:01-B*40:01:02-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.004223,595
 133  A*29:02:01-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.003323,595
 134  A*24:02:01-B*40:02:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.003023,595
 135  A*68:01:01-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002523,595
 136  A*02:01:01-B*18:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 137  A*02:01:01-B*27:05:02-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 138  A*02:01:01-B*44:05:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 139  A*03:01:01-B*07:02:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 140  A*02:01:01-B*15:142-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 141  A*23:01:01-B*40:02:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.001223,595
 142  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.000877123,595
 143  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP Korean 0.000399077,584
 144  A*68:01-B*57:01-C*03:04-DRB1*04:01-DQB1*03:02  India Tamil Nadu 0.00033402,492
 145  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP Japanese 0.000148024,582
 146  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP South Asian Indian 0.0000900185,391

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 146 (from 146) 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