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 801 to 900 (from 963) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 10  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 801  A*33:03-B*35:02-C*04:01-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 802  A*33:03-B*51:01-C*16:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 803  A*68:01-B*44:02-C*05:01-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 804  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
 805  A*30:04:01-B*51:08:01-C*16:02:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.008523,595
 806  A*03:01:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.008523,595
 807  A*11:01-B*44:03-C*07:06-DRB1*13:02-DQB1*06:09  India South UCBB 0.008411,446
 808  A*31:01-B*15:08-C*01:02-DRB1*13:02-DQB1*06:09  India West UCBB 0.00845,829
 809  A*01:01-B*58:01-C*03:146-DRB1*13:02-DQB1*06:09  India South UCBB 0.008211,446
 810  A*24:02-B*15:08-C*01:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.008111,446
 811  A*01:01-B*40:06-C*15:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.008011,446
 812  A*01:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.008011,446
 813  A*11:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.007823,595
 814  A*02:11-B*35:03-C*04:01-DRB1*13:02-DQB1*06:09  India North UCBB 0.00775,849
 815  A*24:02-B*35:03-C*04:01-DRB1*13:02-DQB1*06:09  India North UCBB 0.00745,849
 816  A*01:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.00715,849
 817  A*24:02-B*07:06-C*07:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.007111,446
 818  A*68:01-B*51:01-C*15:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.00705,849
 819  A*02:01:01-B*27:05:02-C*02:02:02-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.006723,595
 820  A*26:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.006723,595
 821  A*24:02:01-B*58:01:01-C*03:03:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.006423,595
 822  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.006323,595
 823  A*01:01-B*55:01-C*01:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.006311,446
 824  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:09  India South UCBB 0.006211,446
 825  A*24:02-B*58:01-C*03:146-DRB1*13:02-DQB1*06:09  India South UCBB 0.006011,446
 826  A*26:01-B*07:02-C*07:02-DRB1*13:02-DQB1*06:09  India East UCBB 0.00592,403
 827  A*24:02-B*35:03-C*12:03-DRB1*13:02-DQB1*06:09  India South UCBB 0.005511,446
 828  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.005423,595
 829  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.005323,595
 830  A*24:02-B*07:02-C*07:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004911,446
 831  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.004823,595
 832  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.004723,595
 833  A*11:01-B*08:01-C*07:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004611,446
 834  A*26:01:01-B*45:01:01-C*16:01:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.004523,595
 835  A*11:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:09  India South UCBB 0.004511,446
 836  A*24:02-B*15:01-C*03:03-DRB1*13:02-DQB1*06:09  India South UCBB 0.004511,446
 837  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.004423,595
 838  A*01:01-B*07:02-C*07:02-DRB1*01:01-DQB1*06:09  India South UCBB 0.004411,446
 839  A*01:01-B*07:02-C*07:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 840  A*01:01-B*15:18-C*07:04-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 841  A*01:01-B*15:25-C*07:26-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 842  A*01:01-B*40:06-C*06:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 843  A*01:01-B*44:03-C*07:06-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 844  A*01:01-B*58:18-C*03:04-DRB1*07:01-DQB1*06:09  India South UCBB 0.004411,446
 845  A*02:01-B*51:01-C*14:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 846  A*02:03-B*35:08-C*04:01-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 847  A*02:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 848  A*02:06-B*35:01-C*04:01-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 849  A*02:09-B*50:01-C*06:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 850  A*02:11-B*13:01-C*04:03-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 851  A*02:11-B*18:01-C*07:01-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 852  A*02:131-B*40:06-C*15:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 853  A*03:01-B*37:01-C*01:44-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 854  A*03:02-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 855  A*11:01-B*51:01-C*14:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 856  A*11:01-B*53:01-C*03:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 857  A*11:01-B*56:01-C*04:10-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 858  A*23:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 859  A*24:02-B*51:01-C*16:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 860  A*24:02-B*52:01-C*01:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 861  A*26:01-B*08:01-C*07:02-DRB1*15:06-DQB1*06:09  India South UCBB 0.004411,446
 862  A*26:01-B*35:08-C*04:01-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 863  A*26:01-B*37:01-C*06:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 864  A*26:01-B*51:01-C*12:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 865  A*30:01-B*27:07-C*15:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 866  A*30:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 867  A*32:01-B*07:02-C*07:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 868  A*32:01-B*35:01-C*04:01-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 869  A*32:01-B*58:01-C*03:146-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 870  A*33:03-B*40:01-C*12:03-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 871  A*33:03-B*44:03-C*07:06-DRB1*15:01-DQB1*06:09  India South UCBB 0.004411,446
 872  A*68:01-B*15:02-C*04:03-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 873  A*68:01-B*18:01-C*12:03-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 874  A*68:01-B*51:01-C*15:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 875  A*68:01-B*51:01-C*15:07-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 876  A*68:01-B*51:06-C*14:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 877  A*68:01-B*52:01-C*07:01-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 878  A*68:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 879  A*68:01-B*58:01-C*03:146-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 880  A*68:24-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 881  A*02:11-B*44:03-C*07:06-DRB1*13:02-DQB1*06:09  India South UCBB 0.004311,446
 882  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*01:01:01-DQB1*06:09:01  Poland BMR 0.004223,595
 883  A*26:01:01-B*51:01:01-C*16:02:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.004223,595
 884  A*30:04:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.004223,595
 885  A*32:01:01-B*13:02:01-C*06:02:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.004223,595
 886  A*26:01:01-B*08:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.004223,595
 887  A*23:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.004123,595
 888  A*24:02-B*58:01-C*07:04-DRB1*13:02-DQB1*06:09  India North UCBB 0.00405,849
 889  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.004023,595
 890  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.003923,595
 891  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.003823,595
 892  A*11:01-B*40:01-C*12:03-DRB1*13:02-DQB1*06:09  India South UCBB 0.003811,446
 893  A*24:02-B*07:02-C*07:02-DRB1*13:02-DQB1*06:09  India West UCBB 0.00335,829
 894  A*31:01-B*58:01-C*03:146-DRB1*13:02-DQB1*06:09  India South UCBB 0.003211,446
 895  A*02:01:01-B*18:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.002923,595
 896  A*32:01-B*44:02-C*05:01-DRB1*13:02-DQB1*06:09  India South UCBB 0.002611,446
 897  A*03:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.002511,446
 898  A*32:01:01-B*27:02:01-C*02:02:02-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.002423,595
 899  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.002323,595
 900  A*24:02:01-B*15:01:01-C*03:03:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.002223,595

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 801 to 900 (from 963) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 10  


   

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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