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 : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 801 to 900 (from 997) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 10  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 801  A*02:01-B*39:06-C*12:03-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 802  A*02:01-B*40:01-C*12:03-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 803  A*02:01-B*51:01-C*12:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 804  A*02:06-B*15:09-C*07:04-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 805  A*02:06-B*48:01-C*08:01-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 806  A*02:11-B*35:01-C*03:03-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 807  A*02:11-B*40:06-C*15:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 808  A*03:01-B*27:05-C*02:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 809  A*03:02-B*35:03-C*04:01-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 810  A*23:01-B*47:01-C*06:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 811  A*24:02-B*15:17-C*07:01-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 812  A*24:02-B*35:01-C*04:289-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 813  A*24:02-B*35:03-C*12:03-DRB1*13:221-DQB1*06:09  India North UCBB 0.00855,849
 814  A*24:02-B*51:06-C*14:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 815  A*24:02-B*58:01-C*12:03-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 816  A*24:02-B*58:08-C*12:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 817  A*26:01-B*15:29-C*07:04-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 818  A*26:01-B*40:06-C*12:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 819  A*26:01-B*45:01-C*16:01-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 820  A*31:01-B*35:03-C*04:01-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 821  A*31:01-B*53:01-C*07:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 822  A*32:01-B*07:02-C*07:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 823  A*32:01-B*27:05-C*02:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 824  A*32:01-B*55:01-C*01:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 825  A*33:03-B*35:02-C*04:01-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 826  A*33:03-B*51:01-C*16:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 827  A*68:01-B*44:02-C*05:01-DRB1*13:02-DQB1*06:09  India North UCBB 0.00855,849
 828  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
 829  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
 830  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
 831  A*11:01-B*44:03-C*07:06-DRB1*13:02-DQB1*06:09  India South UCBB 0.008411,446
 832  A*31:01-B*15:08-C*01:02-DRB1*13:02-DQB1*06:09  India West UCBB 0.00845,829
 833  A*01:01-B*58:01-C*03:146-DRB1*13:02-DQB1*06:09  India South UCBB 0.008211,446
 834  A*24:02-B*15:08-C*01:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.008111,446
 835  A*01:01-B*40:06-C*15:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.008011,446
 836  A*01:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.008011,446
 837  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
 838  A*02:11-B*35:03-C*04:01-DRB1*13:02-DQB1*06:09  India North UCBB 0.00775,849
 839  A*24:02-B*35:03-C*04:01-DRB1*13:02-DQB1*06:09  India North UCBB 0.00745,849
 840  A*01:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.00715,849
 841  A*24:02-B*07:06-C*07:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.007111,446
 842  A*68:01-B*51:01-C*15:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.00705,849
 843  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
 844  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
 845  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
 846  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
 847  A*01:01-B*55:01-C*01:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.006311,446
 848  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:09  India South UCBB 0.006211,446
 849  A*24:02-B*58:01-C*03:146-DRB1*13:02-DQB1*06:09  India South UCBB 0.006011,446
 850  A*26:01-B*07:02-C*07:02-DRB1*13:02-DQB1*06:09  India East UCBB 0.00592,403
 851  A*24:02-B*35:03-C*12:03-DRB1*13:02-DQB1*06:09  India South UCBB 0.005511,446
 852  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
 853  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
 854  A*24:02-B*07:02-C*07:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004911,446
 855  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
 856  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
 857  A*11:01-B*08:01-C*07:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004611,446
 858  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
 859  A*11:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:09  India South UCBB 0.004511,446
 860  A*24:02-B*15:01-C*03:03-DRB1*13:02-DQB1*06:09  India South UCBB 0.004511,446
 861  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
 862  A*01:01-B*07:02-C*07:02-DRB1*01:01-DQB1*06:09  India South UCBB 0.004411,446
 863  A*01:01-B*07:02-C*07:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 864  A*01:01-B*15:18-C*07:04-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 865  A*01:01-B*15:25-C*07:26-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 866  A*01:01-B*40:06-C*06:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 867  A*01:01-B*44:03-C*07:06-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 868  A*01:01-B*58:18-C*03:04-DRB1*07:01-DQB1*06:09  India South UCBB 0.004411,446
 869  A*02:01-B*51:01-C*14:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 870  A*02:03-B*35:08-C*04:01-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 871  A*02:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 872  A*02:06-B*35:01-C*04:01-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 873  A*02:09-B*50:01-C*06:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 874  A*02:11-B*13:01-C*04:03-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 875  A*02:11-B*18:01-C*07:01-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 876  A*02:131-B*40:06-C*15:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 877  A*03:01-B*37:01-C*01:44-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 878  A*03:02-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 879  A*11:01-B*51:01-C*14:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 880  A*11:01-B*53:01-C*03:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 881  A*11:01-B*56:01-C*04:10-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 882  A*23:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 883  A*24:02-B*51:01-C*16:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 884  A*24:02-B*52:01-C*01:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 885  A*26:01-B*08:01-C*07:02-DRB1*15:06-DQB1*06:09  India South UCBB 0.004411,446
 886  A*26:01-B*35:08-C*04:01-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 887  A*26:01-B*37:01-C*06:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 888  A*26:01-B*51:01-C*12:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 889  A*30:01-B*27:07-C*15:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 890  A*30:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 891  A*32:01-B*07:02-C*07:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 892  A*32:01-B*35:01-C*04:01-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 893  A*32:01-B*58:01-C*03:146-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 894  A*33:03-B*40:01-C*12:03-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 895  A*33:03-B*44:03-C*07:06-DRB1*15:01-DQB1*06:09  India South UCBB 0.004411,446
 896  A*68:01-B*15:02-C*04:03-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 897  A*68:01-B*18:01-C*12:03-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 898  A*68:01-B*51:01-C*15:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 899  A*68:01-B*51:01-C*15:07-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 900  A*68:01-B*51:06-C*14:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446

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 997) 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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