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 828) 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*44:03-C*05:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.00905,829
 702  A*02:03-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India South UCBB 0.008811,446
 703  A*11:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.00885,849
 704  A*24:02-B*44:03-C*07:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.008711,446
 705  A*26:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:110  India South UCBB 0.008711,446
 706  A*26:01-B*44:03-C*12:03-DRB1*07:01-DQB1*02:02  India South UCBB 0.008711,446
 707  A*01:01-B*44:03-C*06:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 708  A*01:04N-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 709  A*02:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 710  A*02:05-B*44:03-C*14:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 711  A*03:01-B*44:03-C*12:03-DRB1*07:01-DQB1*02:02  India North UCBB 0.00865,849
 712  A*03:02-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India North UCBB 0.00865,849
 713  A*11:01-B*44:03-C*08:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 714  A*11:01-B*44:03-C*12:03-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 715  A*24:07-B*44:03-C*12:03-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 716  A*24:33-B*44:03-C*14:03-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 717  A*26:01-B*44:03-C*03:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 718  A*26:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.008611,446
 719  A*26:01-B*44:03-C*07:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 720  A*26:01-B*44:03-C*12:03-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 721  A*29:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 722  A*31:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 723  A*32:01-B*44:03-C*12:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.00865,849
 724  A*33:03-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.00865,849
 725  A*68:01-B*44:03-C*07:04-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 726  A*68:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:01  India West UCBB 0.00865,829
 727  A*68:01-B*44:03-C*14:03-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 728  A*30:01:01-B*44:02:01-C*07:04:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.008523,595
 729  A*01:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:110  India North UCBB 0.00855,849
 730  A*01:01-B*44:03-C*15:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 731  A*02:01-B*44:03-C*03:04-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 732  A*02:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 733  A*02:11-B*44:03-C*15:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 734  A*03:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 735  A*11:01-B*44:03-C*06:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 736  A*11:01-B*44:03-C*07:04-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 737  A*11:01-B*44:03-C*12:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 738  A*24:02-B*44:03-C*06:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 739  A*24:02-B*44:03-C*07:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 740  A*24:02-B*44:03-C*15:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.00855,829
 741  A*68:01-B*44:03-C*07:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 742  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Hispanic South or Central American 0.0082146,714
 743  A*01:01-B*44:03-C*07:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.008211,446
 744  A*11:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:110  India South UCBB 0.008211,446
 745  A*24:07-B*44:03-C*05:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.00825,829
 746  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Mexican or Chicano 0.0079261,235
 747  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Chinese 0.007699,672
 748  A*11:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.007223,595
 749  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP African American pop 2 0.0066416,581
 750  A*31:01:02-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.006623,595
 751  A*03:01:01-B*44:03:01-C*04:77-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.006423,595
 752  A*32:01:01-B*44:02:01-C*05:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.006323,595
 753  A*02:01-B*44:02-C*05:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.006211,446
 754  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*02:110  India South UCBB 0.006211,446
 755  A*68:01:02-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.006223,595
 756  A*02:06-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India South UCBB 0.006111,446
 757  A*30:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India South UCBB 0.005611,446
 758  A*01:01-B*44:03-C*06:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.005211,446
 759  A*11:01-B*44:03-C*07:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.004911,446
 760  A*30:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004823,595
 761  A*24:02:01-B*44:02:01-C*05:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004623,595
 762  A*24:02:01-B*44:03:01-C*03:04:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004423,595
 763  A*01:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 764  A*02:03-B*44:03-C*07:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 765  A*02:05-B*44:03-C*14:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 766  A*02:11-B*44:03-C*03:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 767  A*11:01-B*44:03-C*06:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 768  A*11:01-B*44:03-C*14:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 769  A*24:02-B*44:03-C*02:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 770  A*24:02-B*44:03-C*15:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 771  A*26:01-B*44:03-C*16:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 772  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 773  A*30:01-B*44:03-C*05:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 774  A*30:02-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 775  A*31:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:110  India South UCBB 0.004411,446
 776  A*31:16-B*44:03-C*12:03-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 777  A*33:03-B*44:03-C*15:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 778  A*33:03-B*44:03-C*15:05-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 779  A*33:10-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 780  A*33:146-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 781  A*68:01-B*44:03-C*07:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 782  A*68:01-B*44:03-C*12:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 783  A*24:02-B*44:03-C*01:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.004311,446
 784  A*26:01:01-B*44:03:01-C*01:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004223,595
 785  A*24:02:01-B*44:05:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004223,595
 786  A*32:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004223,595
 787  A*31:01:02-B*44:02:01-C*07:04:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004123,595
 788  A*31:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.003911,446
 789  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Korean 0.003977,584
 790  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.003811,446
 791  A*68:01:02-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.003623,595
 792  A*24:02-B*44:03-C*06:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.003611,446
 793  A*01:01:01-B*44:05:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.003523,595
 794  A*25:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.003323,595
 795  A*02:01:01-B*44:03:01-C*05:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.003023,595
 796  A*02:01:01-B*44:02:01-C*07:04:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.003023,595
 797  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Caribean Hispanic 0.0027115,374
 798  A*03:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.002611,446
 799  A*02:01:01-B*44:03:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002523,595
 800  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP North American Amerindian 0.002535,791

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 828) 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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