Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 901 to 1,000 (from 1,148) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 12  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 901  A*03:01-B*18:01-C*12:03-DRB1*11:01  Poland DKMS 0.005420,653
 902  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*01:01:01-DQB1*06:02:01  Poland BMR 0.005323,595
 903  A*03:01:01-B*18:01:01-C*12:03:01-DRB1*14:04:01-DPB1*16:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00525,266
 904  A*02:11-B*18:01-C*12:03-DRB1*15:01-DQB1*05:02  India Tamil Nadu 0.00502,492
 905  A*02:11-B*18:01-C*12:03-DRB1*15:02-DQB1*05:01  India Tamil Nadu 0.00502,492
 906  A*02:11-B*18:01-C*12:03-DRB1*15:02-DQB1*05:03  India Tamil Nadu 0.00502,492
 907  A*02:11-B*18:01-C*12:03-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.00502,492
 908  A*01:01-B*18:01-C*12:03-DRB1*07:01  Poland DKMS 0.005020,653
 909  A*24:07-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India North UCBB 0.00505,849
 910  A*03:01-B*18:01-C*12:03-DRB1*15:02-DQB1*06:01  India South UCBB 0.004911,446
 911  A*68:01-B*18:01-C*12:03-DRB1*15:01  Poland DKMS 0.004920,653
 912  A*03:01:01-B*18:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.004823,595
 913  A*03:01:01-B*18:01:01-C*12:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.004823,595
 914  A*03:01-B*18:01-C*12:03-DRB1*10:01  Poland DKMS 0.004820,653
 915  A*03:01-B*18:01-C*12:03-DRB1*16:01  Poland DKMS 0.004820,653
 916  A*23:01-B*18:01-C*12:03-DRB1*15:01  Poland DKMS 0.004820,653
 917  A*03:01-B*18:01-C*12:03-DRB1*16:02  Poland DKMS 0.004720,653
 918  A*11:01-B*18:01-C*12:03-DRB1*03:01-DQB1*02:01  India South UCBB 0.004711,446
 919  A*11:01-B*18:01-C*12:03-DRB1*04:03-DQB1*03:02  India South UCBB 0.004711,446
 920  A*11:01-B*18:01-C*12:03-DRB1*14:04-DQB1*05:03  India South UCBB 0.004711,446
 921  A*23:01-B*18:01-C*12:03-DRB1*04:01  Poland DKMS 0.004720,653
 922  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
 923  A*02:01:01-B*18:01:01-C*12:03:01-DRB1*16:02:01-DQB1*05:02:01  Poland BMR 0.004623,595
 924  A*24:02-B*18:01-C*12:03-DRB1*14:01  Poland DKMS 0.004620,653
 925  A*32:01-B*18:01-C*12:03-DRB1*13:02  Poland DKMS 0.004620,653
 926  A*26:01:01-B*18:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004623,595
 927  A*24:02-B*18:01-C*12:03-DRB1*03:01-DQB1*02:01  India South UCBB 0.004511,446
 928  A*30:01-B*18:01-C*12:03-DRB1*07:01  Poland DKMS 0.004520,653
 929  A*68:01-B*18:01-C*12:03-DRB1*10:01-DQB1*05:01  India South UCBB 0.004511,446
 930  A*02:01-B*18:01-C*12:03-DRB1*04:02-DQB1*03:02  India South UCBB 0.004411,446
 931  A*02:01-B*18:01-C*12:03-DRB1*04:08-DQB1*03:01  India South UCBB 0.004411,446
 932  A*02:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 933  A*02:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 934  A*02:05-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India South UCBB 0.004411,446
 935  A*02:06-B*18:01-C*12:03-DRB1*07:01-DQB1*03:03  India South UCBB 0.004411,446
 936  A*02:06-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 937  A*02:06-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India South UCBB 0.004411,446
 938  A*02:11-B*18:01-C*12:03-DRB1*15:02-DQB1*05:03  India South UCBB 0.004411,446
 939  A*02:131-B*18:01-C*12:03-DRB1*08:02-DQB1*04:02  India South UCBB 0.004411,446
 940  A*03:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 941  A*03:01-B*18:01-C*12:03-DRB1*12:01-DQB1*03:01  India South UCBB 0.004411,446
 942  A*03:02-B*18:01-C*12:03-DRB1*14:04-DQB1*06:01  India South UCBB 0.004411,446
 943  A*11:01-B*18:01-C*12:03-DRB1*03:01-DQB1*03:01  India South UCBB 0.004411,446
 944  A*24:02-B*18:01-C*12:03-DRB1*04:01-DQB1*03:02  India South UCBB 0.004411,446
 945  A*24:02-B*18:01-C*12:03-DRB1*13:01-DQB1*06:221  India South UCBB 0.004411,446
 946  A*24:03-B*18:01-C*12:03-DRB1*09:01-DQB1*03:02  India South UCBB 0.004411,446
 947  A*26:01-B*18:01-C*12:03-DRB1*14:04-DQB1*05:03  India South UCBB 0.004411,446
 948  A*30:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India South UCBB 0.004411,446
 949  A*31:01-B*18:01-C*12:03-DRB1*04:03-DQB1*03:02  India South UCBB 0.004411,446
 950  A*31:01-B*18:01-C*12:03-DRB1*04:04-DQB1*03:02  India South UCBB 0.004411,446
 951  A*31:01-B*18:01-C*12:03-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 952  A*31:01-B*18:01-C*12:03-DRB1*15:01  Poland DKMS 0.004420,653
 953  A*32:01-B*18:01-C*12:03-DRB1*15:02-DQB1*06:01  India South UCBB 0.004411,446
 954  A*33:03-B*18:01-C*12:03-DRB1*03:01-DQB1*02:01  India South UCBB 0.004411,446
 955  A*33:03-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.004411,446
 956  A*68:01-B*18:01-C*12:03-DRB1*03:01  Poland DKMS 0.004420,653
 957  A*68:01-B*18:01-C*12:03-DRB1*08:02-DQB1*04:02  India South UCBB 0.004411,446
 958  A*68:01-B*18:01-C*12:03-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 959  A*23:01:01-B*18:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.004423,595
 960  A*02:01:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.004323,595
 961  A*03:01-B*18:01-C*12:03-DRB1*07:01-DQB1*03:03  India South UCBB 0.004311,446
 962  A*26:01-B*18:01-C*12:03-DRB1*13:01  Poland DKMS 0.004320,653
 963  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*04:01:01-DQB1*06:03:01  Poland BMR 0.004323,595
 964  A*02:01:01-B*18:01:01-C*12:03:01-DRB1*11:04:01-DQB1*02:01:01  Poland BMR 0.004223,595
 965  A*02:17:02-B*18:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.004223,595
 966  A*11:01:01-B*18:01:01-C*12:03:01-DRB1*01:01:01-DQB1*03:04:01  Poland BMR 0.004223,595
 967  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
 968  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*11:01:01-DQB1*05:03:01  Poland BMR 0.004223,595
 969  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*15:07:01-DQB1*06:02:01  Poland BMR 0.004223,595
 970  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*04:01:01-DQB1*02:01:01  Poland BMR 0.004223,595
 971  A*26:01-B*18:01-C*12:03-DRB1*11:04  Poland DKMS 0.004220,653
 972  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*04:01:01-DQB1*06:02:01  Poland BMR 0.004023,595
 973  A*32:01:01-B*18:01:01-C*12:03:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.004023,595
 974  A*68:01:01-B*18:01:01-C*12:03:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.003923,595
 975  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
 976  A*03:01:01-B*18:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.003823,595
 977  A*31:01-B*18:01-C*12:03-DRB1*13:01  Poland DKMS 0.003820,653
 978  A*68:01:02-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.003723,595
 979  A*24:03-B*18:01-C*12:03-DRB1*11:04  Hong Kong Chinese BMDR 0.00377,595
 980  A*02:01:01-B*18:01:01-C*12:03:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.003723,595
 981  A*11:01-B*18:01-C*12:03-DRB1*15:02-DQB1*06:01  India South UCBB 0.003611,446
 982  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.003523,595
 983  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*01:01:01-DQB1*06:03:01  Poland BMR 0.003523,595
 984  A*68:01:02-B*18:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.003423,595
 985  A*24:02:01-B*18:01:01-C*12:03:01-DRB1*01:01:01-DQB1*03:02:01  Poland BMR 0.003423,595
 986  A*25:01-B*18:01-C*12:03-DRB1*09:01  Poland DKMS 0.003420,653
 987  A*24:02-B*18:01-C*12:03-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP Caribean Black 0.003433,328
 988  A*26:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.003423,595
 989  A*24:02-B*18:01-C*12:03-DRB1*04:04  Poland DKMS 0.003220,653
 990  A*24:02-B*18:01-C*12:03-DRB1*13:01  Poland DKMS 0.003220,653
 991  A*68:02-B*18:01-C*12:03-DRB1*04:01  Poland DKMS 0.003220,653
 992  A*03:01:01-B*18:01:01-C*12:03:01-DRB1*04:50-DQB1*03:02:01  Poland BMR 0.003123,595
 993  A*02:01:01-B*18:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.003023,595
 994  A*29:02:01-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.003023,595
 995  A*03:01-B*18:01-C*12:03-DRB1*11:03  Poland DKMS 0.003020,653
 996  A*26:01:01-B*18:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.002923,595
 997  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.002823,595
 998  A*02:01:01-B*18:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002823,595
 999  A*26:01-B*18:01-C*12:03-DRB1*07:01  Poland DKMS 0.002820,653
 1,000  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*15:01:01-DQB1*05:02:01  Poland BMR 0.002723,595

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 901 to 1,000 (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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional