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 : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 701 to 800 (from 834) records   Pages: 1 2 3 4 5 6 7 8 9 of 9  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 701  A*24:02-B*35:03-C*12:03-DRB1*13:02-DQB1*06:04  India North UCBB 0.00895,849
 702  A*24:02:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.008923,595
 703  A*24:02-B*35:03-C*03:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.008711,446
 704  A*68:01-B*35:03-C*12:03-DRB1*13:251-DQB1*06:03  India South UCBB 0.008711,446
 705  A*01:01:01-B*35:02:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.008723,595
 706  A*01:01-B*35:08-C*04:01-DRB1*13:02-DQB1*06:09  India West UCBB 0.00865,829
 707  A*02:01-B*35:01-C*07:01-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 708  A*02:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:48  India West UCBB 0.00865,829
 709  A*02:03-B*35:03-C*03:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 710  A*02:11-B*35:03-C*12:03-DRB1*13:02-DQB1*06:04  India West UCBB 0.00865,829
 711  A*03:01-B*35:01-C*04:01-DRB1*13:02-DQB1*06:04  India South UCBB 0.008611,446
 712  A*03:02-B*35:08-C*04:01-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 713  A*03:56-B*35:03-C*12:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 714  A*11:01-B*35:03-C*04:01-DRB1*13:02-DQB1*06:03  India West UCBB 0.00865,829
 715  A*11:01-B*35:03-C*05:01-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 716  A*24:02-B*35:02-C*04:01-DRB1*13:02-DQB1*06:41  India West UCBB 0.00865,829
 717  A*24:02-B*35:03-C*12:03-DRB1*13:02-DQB1*06:09  India West UCBB 0.00865,829
 718  A*24:03-B*35:08-C*04:01-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 719  A*24:33-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 720  A*30:01-B*35:03-C*12:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 721  A*30:02-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 722  A*31:01-B*35:03-C*04:01-DRB1*13:02-DQB1*06:09  India South UCBB 0.008611,446
 723  A*31:16-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 724  A*32:01-B*35:01-C*04:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.00865,849
 725  A*68:01-B*35:01-C*03:04-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 726  A*68:01-B*35:03-C*04:01-DRB1*13:02-DQB1*06:04  India West UCBB 0.00865,829
 727  A*68:01-B*35:03-C*04:01-DRB1*13:02-DQB1*06:09  India West UCBB 0.00865,829
 728  A*68:24-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 729  A*01:01-B*35:132-C*04:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.00855,849
 730  A*02:03-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.008511,446
 731  A*02:11-B*35:01-C*03:03-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 732  A*03:01-B*35:01-C*04:01-DRB1*13:02-DQB1*06:03  India North UCBB 0.00855,849
 733  A*03:02-B*35:01-C*12:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.00855,849
 734  A*03:02-B*35:01-C*14:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.00855,849
 735  A*03:02-B*35:03-C*04:01-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 736  A*11:01-B*35:02-C*03:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.00855,849
 737  A*24:02-B*35:01-C*04:289-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 738  A*24:02-B*35:03-C*03:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.00855,849
 739  A*24:02-B*35:03-C*12:03-DRB1*13:221-DQB1*06:09  India North UCBB 0.00855,849
 740  A*24:02-B*35:03-C*12:38-DRB1*13:01-DQB1*06:03  India North UCBB 0.00855,849
 741  A*24:17-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.00855,849
 742  A*31:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:144N  India North UCBB 0.00855,849
 743  A*31:01-B*35:03-C*04:01-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 744  A*31:16-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India North UCBB 0.00855,849
 745  A*33:03-B*35:02-C*04:01-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 746  A*68:01-B*35:03-C*01:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.00855,849
 747  A*68:01-B*35:03-C*01:02-DRB1*13:02-DQB1*06:04  India North UCBB 0.00855,849
 748  A*01:01:01-B*35:02:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.008523,595
 749  A*02:06:01-B*35:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.008523,595
 750  A*31:01-B*35:01-C*04:01-DRB1*13:02-DQB1*06:04  India North UCBB 0.00815,849
 751  A*32:01:01-B*35:03:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.008023,595
 752  A*68:01-B*35:03-C*04:01-DRB1*13:02-DQB1*06:04  India South UCBB 0.007911,446
 753  A*02:11-B*35:03-C*04:01-DRB1*13:02-DQB1*06:09  India North UCBB 0.00775,849
 754  A*02:01-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.007411,446
 755  A*24:02-B*35:03-C*04:01-DRB1*13:02-DQB1*06:09  India North UCBB 0.00745,849
 756  A*01:26-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.006611,446
 757  A*33:03:01-B*35:02:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.006423,595
 758  A*01:01:01-B*35:08:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.006123,595
 759  A*02-B*35-C*04-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.00601,743
 760  A*31:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.006011,446
 761  A*25:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.006023,595
 762  A*68:01-B*35:03-C*12:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.005611,446
 763  A*24:02-B*35:03-C*12:03-DRB1*13:02-DQB1*06:09  India South UCBB 0.005511,446
 764  A*03:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India North UCBB 0.00545,849
 765  A*02:01:01-B*35:02:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.004823,595
 766  A*02:01:01-B*35:08:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.004723,595
 767  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.004723,595
 768  A*11:01:01-B*35:03:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.004523,595
 769  A*32:01:01-B*35:02:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.004523,595
 770  A*01:01-B*35:01-C*04:122-DRB1*13:01-DQB1*06:03  India South UCBB 0.004411,446
 771  A*01:01-B*35:360-C*04:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.004411,446
 772  A*02:01-B*35:03-C*07:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.004411,446
 773  A*02:03-B*35:08-C*04:01-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 774  A*02:06-B*35:01-C*04:01-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 775  A*02:06-B*35:03-C*03:04-DRB1*13:01-DQB1*06:03  India South UCBB 0.004411,446
 776  A*02:11-B*35:03-C*04:01-DRB1*13:02-DQB1*06:04  India South UCBB 0.004411,446
 777  A*02:11-B*35:03-C*12:03-DRB1*13:02-DQB1*06:04  India South UCBB 0.004411,446
 778  A*03:01-B*35:01-C*04:01-DRB1*13:02-DQB1*06:41  India South UCBB 0.004411,446
 779  A*03:01-B*35:03-C*03:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.004411,446
 780  A*24:02-B*35:03-C*12:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.004411,446
 781  A*24:02-B*35:03-C*14:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.004411,446
 782  A*24:03-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.004411,446
 783  A*26:01-B*35:01-C*12:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.004411,446
 784  A*26:01-B*35:08-C*04:01-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 785  A*31:01-B*35:01-C*15:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.004411,446
 786  A*31:135-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.004411,446
 787  A*32:01-B*35:01-C*04:01-DRB1*13:02-DQB1*06:03  India South UCBB 0.004411,446
 788  A*32:01-B*35:01-C*04:01-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 789  A*32:01-B*35:01-C*05:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.004411,446
 790  A*33:03-B*35:01-C*03:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.004411,446
 791  A*32:01:01-B*35:08:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.004223,595
 792  A*02:01:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.004223,595
 793  A*29:02:01-B*35:08:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.004223,595
 794  A*29:01:01-B*35:03:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.004123,595
 795  A*68:01:01-B*35:03:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.004123,595
 796  A*01:01:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.003523,595
 797  A*32:01-B*35:03-C*04:01-DRB1*13:02-DQB1*06:04  India South UCBB 0.003211,446
 798  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.003123,595
 799  A*02:01:01-B*35:01:01-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002823,595
 800  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002723,595

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 701 to 800 (from 834) records   Pages: 1 2 3 4 5 6 7 8 9 of 9  


   

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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