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 1,014) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 11  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 701  A*02-B*81-DRB1*12:02-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 702  A*02-B*82-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 703  A*03-B*13-DRB1*01:02-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 704  A*03-B*15-DRB1*13:08-DQA1*01:01-DQB1*05:03  Brazil Paraná Caucasian 0.0780641
 705  A*03-B*18-DRB1*14:01-DQA1*01:01-DQB1*05:03  Brazil Paraná Caucasian 0.0780641
 706  A*03-B*27-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 707  A*03-B*35-DRB1*14:01-DQA1*01:01-DQB1*05:03  Brazil Paraná Caucasian 0.0780641
 708  A*03-B*49-DRB1*01:02-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 709  A*03-B*57-DRB1*01:02-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 710  A*11-B*18-DRB1*14:01-DQA1*01:01-DQB1*05:03  Brazil Paraná Caucasian 0.0780641
 711  A*11-B*27-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 712  A*11-B*35-DRB1*01:03-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 713  A*11-B*37-DRB1*10:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 714  A*11-B*39-DRB1*11:13-DQA1*01:01-DQB1*05:03  Brazil Paraná Caucasian 0.0780641
 715  A*23-B*15-DRB1*01:02-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 716  A*23-B*44-DRB1*01:02-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 717  A*23-B*44-DRB1*13:02-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 718  A*24-B*07-DRB1*01:03-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 719  A*24-B*08-DRB1*01:02-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 720  A*24-B*15-DRB1*14:01-DQA1*01:01-DQB1*05:03  Brazil Paraná Caucasian 0.0780641
 721  A*24-B*35-DRB1*14:01-DQA1*01:01-DQB1*05:03  Brazil Paraná Caucasian 0.0780641
 722  A*24-B*40-DRB1*01:03-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 723  A*24-B*44-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 724  A*24-B*44-DRB1*14:01-DQA1*01:01-DQB1*05:03  Brazil Paraná Caucasian 0.0780641
 725  A*24-B*49-DRB1*07:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 726  A*25-B*35-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 727  A*25-B*37-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 728  A*26-B*08-DRB1*01:01-DQA1*01:01-DQB1*05:03  Brazil Paraná Caucasian 0.0780641
 729  A*26-B*14-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 730  A*26-B*14-DRB1*14:01-DQA1*01:01-DQB1*05:03  Brazil Paraná Caucasian 0.0780641
 731  A*26-B*35-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 732  A*26-B*44-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 733  A*26-B*58-DRB1*01:02-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 734  A*29-B*15-DRB1*04:02-DQA1*01:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 735  A*29-B*47-DRB1*01:03-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 736  A*29-B*50-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 737  A*30-B*52-DRB1*14:01-DQA1*01:01-DQB1*05:03  Brazil Paraná Caucasian 0.0780641
 738  A*30-B*53-DRB1*13:02-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 739  A*31-B*35-DRB1*01:02-DQA1*01:01-DQB1*06:09  Brazil Paraná Caucasian 0.0780641
 740  A*32-B*35-DRB1*13:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 741  A*32-B*44-DRB1*13:03-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 742  A*32-B*58-DRB1*01:02-DQA1*01:01-DQB1*06:02  Brazil Paraná Caucasian 0.0780641
 743  A*33-B*18-DRB1*14:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 744  A*33-B*41-DRB1*01:01-DQA1*01:01-DQB1*02:02  Brazil Paraná Caucasian 0.0780641
 745  A*66-B*44-DRB1*13:01-DQA1*01:01-DQB1*06:02  Brazil Paraná Caucasian 0.0780641
 746  A*68-B*07-DRB1*01:02-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 747  A*68-B*07-DRB1*14:01-DQA1*01:01-DQB1*05:03  Brazil Paraná Caucasian 0.0780641
 748  A*68-B*27-DRB1*10:03-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 749  A*68-B*35-DRB1*10:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 750  A*68-B*35-DRB1*15:03-DQA1*01:01-DQB1*06:02  Brazil Paraná Caucasian 0.0780641
 751  A*68-B*37-DRB1*04:05-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 752  A*68-B*39-DRB1*14:01-DQA1*01:01-DQB1*05:03  Brazil Paraná Caucasian 0.0780641
 753  A*68-B*41-DRB1*10:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 754  A*68-B*44-DRB1*11:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 755  A*68-B*45-DRB1*10:01-DQA1*01:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 756  A*68-B*53-DRB1*01:02-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 757  A*68-B*53-DRB1*14:01-DQA1*01:01-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 758  A*68-B*58-DRB1*10:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 759  A*69-B*55-DRB1*11:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 760  A*74-B*58-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 761  DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*09:01  Hong Kong Chinese HKBMDR. DQ and DP 0.07141,064
 762  A*01:01-B*13:01-C*04:03-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 763  A*01:01-B*15:18-C*07:04-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 764  A*01:01-B*35:03-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*14:01  Sri Lanka Colombo 0.0700714
 765  A*01:01-B*35:03-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 766  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 767  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  Sri Lanka Colombo 0.0700714
 768  A*01:01-B*37:01-C*06:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 769  A*01:01-B*37:01-C*06:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 770  A*01:01-B*40:02-C*14:02-DRB1*04:03-DQA1*01:01-DQB1*05:03-DPB1*14:01  Sri Lanka Colombo 0.0700714
 771  A*01:01-B*40:06-C*15:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 772  A*01:01-B*41:01-C*15:02-DRB1*14:04-DQA1*01:01-DQB1*04:02-DPB1*20:01  Sri Lanka Colombo 0.0700714
 773  A*01:01-B*44:03-C*07:01-DRB1*14:04-DQA1*01:01-DQB1*06:04-DPB1*13:01  Sri Lanka Colombo 0.0700714
 774  A*01:01-B*57:01-C*06:02-DRB1*04:08-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 775  A*02:01-B*08:01-C*07:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  Sri Lanka Colombo 0.0700714
 776  A*02:01-B*35:03-C*04:01-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*09:01  Sri Lanka Colombo 0.0700714
 777  A*02:01-B*35:03-C*12:03-DRB1*14:01-DQA1*01:01-DQB1*05:03-DPB1*26:01  Sri Lanka Colombo 0.0700714
 778  A*02:01-B*37:01-C*06:02-DRB1*03:01-DQA1*01:01-DQB1*02:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 779  A*02:01-B*40:01-C*03:04-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 780  A*02:01-B*40:01-C*12:03-DRB1*14:04-DQA1*01:01-DQB1*05:02-DPB1*26:01  Sri Lanka Colombo 0.0700714
 781  A*02:01-B*40:23-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*02:02-DPB1*09:01  Sri Lanka Colombo 0.0700714
 782  A*02:01-B*51:01-C*07:02-DRB1*14:01-DQA1*01:01-DQB1*05:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 783  A*02:03-B*15:25-C*07:26-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*26:01  Sri Lanka Colombo 0.0700714
 784  A*02:03-B*35:01-C*04:01-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*04:02  Sri Lanka Colombo 0.0700714
 785  A*02:03-B*39:01-C*03:03-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 786  A*02:05-B*40:02-C*04:01-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 787  A*02:05-B*50:01-C*06:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*01:01  Sri Lanka Colombo 0.0700714
 788  A*02:06-B*07:05-C*15:05-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 789  A*02:06-B*15:01-C*03:03-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 790  A*02:06-B*35:03-C*04:01-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 791  A*02:06-B*40:06-C*01:02-DRB1*14:01-DQA1*01:01-DQB1*05:03-DPB1*14:01  Sri Lanka Colombo 0.0700714
 792  A*02:06-B*40:06-C*15:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 793  A*02:11-B*15:05-C*03:03-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 794  A*02:11-B*15:05-C*03:03-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 795  A*02:11-B*18:01-C*07:01-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*13:01  Sri Lanka Colombo 0.0700714
 796  A*02:11-B*35:03-C*04:01-DRB1*14:01-DQA1*01:01-DQB1*05:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 797  A*02:11-B*40:06-C*12:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*03:01  Sri Lanka Colombo 0.0700714
 798  A*02:11-B*40:06-C*15:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*83:01  Sri Lanka Colombo 0.0700714
 799  A*02:11-B*44:02-C*05:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 800  A*02:11-B*52:01-C*12:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*04:01  Sri Lanka Colombo 0.0700714

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 1,014) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 11  


   

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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