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 1,148) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 12  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 801  A*01:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.009011,446
 802  A*24:02-B*18:01-C*12:03-DRB1*04:03-DQB1*03:02  India West UCBB 0.00905,829
 803  A*26:01-B*18:01-C*12:03-DRB1*15:01  Poland DKMS 0.009020,653
 804  A*68:01-B*18:01-C*12:03-DRB1*07:01  Poland DKMS 0.009020,653
 805  A*11:01:01-B*18:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.009023,595
 806  A*68:01:02-B*18:01:01-C*12:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.009023,595
 807  A*03:01:01-B*18:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.009023,595
 808  A*03:01-B*18:01-C*12:03-DRB1*04:03-DQB1*03:02  India South UCBB 0.008911,446
 809  A*03:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India West UCBB 0.00875,829
 810  A*31:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India West UCBB 0.00875,829
 811  A*32:01-B*18:01-C*12:03-DRB1*10:01-DQB1*05:01  India South UCBB 0.008711,446
 812  A*33:03-B*18:01-C*12:03-DRB1*03:01-DQB1*02:01  India North UCBB 0.00875,849
 813  A*01:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 814  A*01:01-B*18:01-C*12:03-DRB1*15:01-DQB1*06:02  India West UCBB 0.00865,829
 815  A*02:131-B*18:01-C*12:03-DRB1*14:54-DQB1*05:03  India West UCBB 0.00865,829
 816  A*03:01-B*18:01-C*12:03-DRB1*01:01-DQB1*05:01  India West UCBB 0.00865,829
 817  A*03:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:02  India West UCBB 0.00865,829
 818  A*03:01-B*18:01-C*12:03-DRB1*12:01-DQB1*06:01  India West UCBB 0.00865,829
 819  A*11:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 820  A*24:02-B*18:01-C*12:03-DRB1*14:07-DQB1*05:03  India West UCBB 0.00865,829
 821  A*24:02-B*18:01-C*12:03-DRB1*15:01-DQB1*06:01  India West UCBB 0.00865,829
 822  A*24:03-B*18:01-C*12:03-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 823  A*24:03-B*18:01-C*12:03-DRB1*10:01-DQB1*05:01  India North UCBB 0.00865,849
 824  A*24:03-B*18:01-C*12:03-DRB1*15:02-DQB1*06:01  India North UCBB 0.00865,849
 825  A*26:01-B*18:01-C*12:03-DRB1*13:82-DQB1*03:02  India West UCBB 0.00865,829
 826  A*33:03-B*18:01-C*12:03-DRB1*03:01-DQB1*02:01  India West UCBB 0.00865,829
 827  A*33:03-B*18:01-C*12:03-DRB1*07:01-DQB1*03:03  India West UCBB 0.00865,829
 828  A*33:03-B*18:01-C*12:03-DRB1*13:02-DQB1*06:09  India West UCBB 0.00865,829
 829  A*01:01-B*18:01-C*12:03-DRB1*08:04-DQB1*04:02  India North UCBB 0.00855,849
 830  A*01:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.00855,849
 831  A*02:05-B*18:01-C*12:03-DRB1*13:82-DQB1*03:02  India North UCBB 0.00855,849
 832  A*03:01-B*18:01-C*12:03-DRB1*07:01-DQB1*03:03  India North UCBB 0.00855,849
 833  A*03:02-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 834  A*03:02-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India North UCBB 0.00855,849
 835  A*23:01-B*18:01-C*12:03-DRB1*04:06-DQB1*04:02  India North UCBB 0.00855,849
 836  A*24:02-B*18:01-C*12:03-DRB1*04:01-DQB1*03:02  India North UCBB 0.00855,849
 837  A*24:02-B*18:01-C*12:03-DRB1*11:04-DQB1*02:01  India North UCBB 0.00855,849
 838  A*24:02-B*18:01-C*12:03-DRB1*14:54-DQB1*05:02  India North UCBB 0.00855,849
 839  A*24:03-B*18:01-C*12:03-DRB1*04:03-DQB1*03:02  India North UCBB 0.00855,849
 840  A*24:03-B*18:01-C*12:03-DRB1*14:54-DQB1*05:03  India North UCBB 0.00855,849
 841  A*29:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01  India North UCBB 0.00855,849
 842  A*29:02-B*18:01-C*12:03-DRB1*13:82-DQB1*03:02  India North UCBB 0.00855,849
 843  A*31:12-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 844  A*32:01-B*18:01-C*12:03-DRB1*03:01-DQB1*02:01  India North UCBB 0.00855,849
 845  A*32:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 846  A*32:01-B*18:01-C*12:03-DRB1*13:82-DQB1*03:02  India North UCBB 0.00855,849
 847  A*33:03-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 848  A*33:03-B*18:01-C*12:03-DRB1*11:08-DQB1*03:01  India North UCBB 0.00855,849
 849  A*33:03-B*18:01-C*12:03-DRB1*15:01-DQB1*06:02  India North UCBB 0.00855,849
 850  A*69:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 851  A*69:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India North UCBB 0.00855,849
 852  A*24:02:01-B*18:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.008523,595
 853  A*02:01-B*18:01-C*12:03-DRB1*14:01  Poland DKMS 0.008320,653
 854  A*24:02:01-B*18:01:01-C*12:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.008323,595
 855  A*68:01-B*18:01-C*12:03-DRB1*14:04-DQB1*05:03  India South UCBB 0.008211,446
 856  A*03:01-B*18:01-C*12:03-DRB1*03:01-DQB1*02:01  India South UCBB 0.008111,446
 857  A*68:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India South UCBB 0.008011,446
 858  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*01:01:01-DQB1*03:01:01  Poland BMR 0.007923,595
 859  A*32:01-B*18:01-C*12:03-DRB1*04:01  Poland DKMS 0.007820,653
 860  A*11:01-B*18:01-C*12:03-DRB1*04:01  Poland DKMS 0.007720,653
 861  A*32:01-B*18:01-C*12:03-DRB1*11:04  Poland DKMS 0.007620,653
 862  A*02:01-B*18:01-C*12:03-DRB1*03:01  Poland DKMS 0.007520,653
 863  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*01:01:01-DQB1*02:01:01  Poland BMR 0.007423,595
 864  A*11:01-B*18:01-C*12:03-DRB1*13:01  Poland DKMS 0.007420,653
 865  A*68:01-B*18:01-C*12:03-DRB1*13:01  Poland DKMS 0.007420,653
 866  A*11:01:01-B*18:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.007223,595
 867  A*25:01-B*18:01-C*12:03-DRB1*08:03  Poland DKMS 0.007220,653
 868  A*68:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India North UCBB 0.00725,849
 869  A*03:02-B*18:01-C*12:03-DRB1*11:04  Poland DKMS 0.007120,653
 870  A*68:01-B*18:01-C*12:03-DRB1*15:01-DQB1*06:02  India South UCBB 0.007011,446
 871  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.007023,595
 872  A*32:01-B*18:01-C*12:03-DRB1*13:01  Poland DKMS 0.006920,653
 873  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.006823,595
 874  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.006723,595
 875  A*24:02-B*18:01-C*12:03-DRB1*11:04  Hong Kong Chinese BMDR 0.00667,595
 876  A*02:11-B*18:01-C*12:03-DRB1*13:02-DQB1*03:01  India Tamil Nadu 0.00652,492
 877  A*24:02:01-B*18:01:01-C*12:03:01-DRB1*11:04:01-DQB1*06:02:01  Poland BMR 0.006423,595
 878  A*01:01-B*18:01-C*12:03-DRB1*04:01  Poland DKMS 0.006320,653
 879  A*02:01-B*18:01-C*12:03-DRB1*04:04  Poland DKMS 0.006320,653
 880  A*02:01-B*18:01-C*12:03-DRB1*16:01  Poland DKMS 0.006320,653
 881  A*03:01-B*18:01-C*12:03-DRB1*15:01-DQB1*06:01  India South UCBB 0.006311,446
 882  A*24:02:01-B*18:01:01-C*12:03:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.006323,595
 883  A*66:01:01-B*18:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.006223,595
 884  A*24:02:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.006123,595
 885  A*24:02-B*18:01-C*12:03-DRB1*01:01-DQB1*05:01  India South UCBB 0.006111,446
 886  A*11:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.005923,595
 887  A*11:01:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.005923,595
 888  A*24:02-B*18:01-C*12:03-DRB1*07:01-DQB1*03:03  India South UCBB 0.005711,446
 889  A*68:01-B*18:01-C*12:03-DRB1*11:04  Poland DKMS 0.005720,653
 890  A*11:01-B*18:01-C*12:03-DRB1*15:01-DQB1*06:02  India South UCBB 0.005611,446
 891  A*26:01-B*18:01-C*12:03-DRB1*04:01  Poland DKMS 0.005620,653
 892  A*68:01:02-B*18:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.005623,595
 893  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.005523,595
 894  A*31:01:02-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.005523,595
 895  A*01:01-B*18:01-C*12:03-DRB1*08:01  Poland DKMS 0.005520,653
 896  A*01:01-B*18:01-C*12:03-DRB1*11:04  Poland DKMS 0.005520,653
 897  A*02:01-B*18:01-C*12:03-DRB1*12:01  Poland DKMS 0.005520,653
 898  A*23:01:01-B*18:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.005523,595
 899  A*26:01:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.005423,595
 900  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.005423,595

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 1,148) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 12  


   

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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