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 901 to 1,000 (from 1,139) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 12  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 901  A*33:03-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India South UCBB 0.006711,446
 902  A*02:11-B*35:03-C*12:03-DRB1*14:01-DQB1*05:03  India Tamil Nadu 0.00662,492
 903  A*03:02-B*35:03-C*12:03-DRB1*15:02  Hong Kong Chinese BMDR 0.00667,595
 904  A*33:03-B*35:01-C*12:03-DRB1*14:54  Hong Kong Chinese BMDR 0.00667,595
 905  A*33:03-B*35:06-C*12:03-DRB1*14:54  Hong Kong Chinese BMDR 0.00667,595
 906  A*03:01-B*35:03-C*12:03-DRB1*08:02-DQB1*03:01  India Tamil Nadu 0.00662,492
 907  A*03:01-B*35:03-C*12:03-DRB1*08:03-DQB1*03:01  India Tamil Nadu 0.00662,492
 908  A*11:01-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02  India South UCBB 0.006511,446
 909  A*11:01-B*35:03-C*12:03-DRB1*08:02  Hong Kong Chinese BMDR 0.00657,595
 910  A*31:01-B*35:03-C*12:03-DRB1*15:02  Hong Kong Chinese BMDR 0.00657,595
 911  A*68:01-B*35:03-C*12:03-DRB1*04:04-DQB1*03:02  India South UCBB 0.006511,446
 912  A*33:03:01-B*35:03:01-C*12:03:01-DRB1*09:01:02-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00645,266
 913  A*68:01-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02  India South UCBB 0.006411,446
 914  A*68:01:02-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.006423,595
 915  A*24:02-B*35:03-C*12:03-DRB1*15:02-DQB1*06:01  India North UCBB 0.00635,849
 916  A*25:01-B*35:03-C*12:03-DRB1*04:08  Poland DKMS 0.006320,653
 917  A*02:01-B*35:03-C*12:03-DRB1*03:01-DQB1*02:01  India South UCBB 0.006111,446
 918  A*24:02-B*35:03-C*12:03-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP European Caucasian 0.00591,242,890
 919  A*01:01-B*35:03-C*12:03-DRB1*08:03-DQB1*03:01  India South UCBB 0.005811,446
 920  A*24:02-B*35:03-C*12:03-DRB1*15:01-DQB1*06:01  India South UCBB 0.005811,446
 921  A*03:01-B*35:03-C*12:03-DRB1*14:54  Hong Kong Chinese BMDR 0.00567,595
 922  A*11:01-B*35:03-C*12:03-DRB1*07:01  Poland DKMS 0.005620,653
 923  A*11:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India East UCBB 0.00562,403
 924  A*24:02-B*35:03-C*12:03-DRB1*13:02-DQB1*06:09  India South UCBB 0.005511,446
 925  A*24:02-B*35:03-C*12:03-DRB1*15:02-DQB1*05:03  India South UCBB 0.005511,446
 926  A*24:03-B*35:03-C*12:03-DRB1*14:54  Hong Kong Chinese BMDR 0.00547,595
 927  A*02:11-B*35:03-C*12:03-DRB1*15:02-DQB1*05:03  India West UCBB 0.00535,829
 928  A*11:01:01-B*35:03:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.005223,595
 929  A*03:01-B*35:03-C*12:03-DRB1*15:01-DQB1*06:01  India South UCBB 0.005211,446
 930  A*11:01-B*35:03-C*12:03-DRB1*04:05  Hong Kong Chinese BMDR 0.00527,595
 931  A*24:02-B*35:03-C*12:03-DRB1*15:01-DQB1*06:02  India South UCBB 0.005211,446
 932  A*26:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India South UCBB 0.005111,446
 933  A*02:01-B*35:03-C*12:03-DRB1*10:01-DQB1*05:01  India South UCBB 0.005011,446
 934  A*02:11-B*35:03-C*12:03-DRB1*15:02-DQB1*06:01  India South UCBB 0.005011,446
 935  A*11:01-B*35:03-C*12:03-DRB1*01:01  Poland DKMS 0.005020,653
 936  A*11:01-B*35:03-C*12:03-DRB1*12:01-DQB1*03:01  India South UCBB 0.005011,446
 937  A*32:01-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02  India South UCBB 0.005011,446
 938  A*02:11-B*35:03-C*12:03-DRB1*13:02-DQB1*03:01  India Tamil Nadu 0.00492,492
 939  A*02:01-B*35:03-C*12:03-DRB1*12:01  Poland DKMS 0.004920,653
 940  A*11:01-B*35:03-C*12:03-DRB1*13:03  Poland DKMS 0.004920,653
 941  A*24:02-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India Central UCBB 0.00494,204
 942  A*02:11-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India South UCBB 0.004811,446
 943  A*03:01-B*35:03-C*12:03-DRB1*14:07  Poland DKMS 0.004820,653
 944  A*11:01:01-B*35:03:01-C*12:03:01-DRB1*08:03:02-DPB1*26:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00485,266
 945  A*32:01-B*35:03-C*12:03-DRB1*03:01-DQB1*02:01  India South UCBB 0.004811,446
 946  A*32:01-B*35:03-C*12:03-DRB1*07:01  Poland DKMS 0.004820,653
 947  A*31:01:02-B*35:03:01-C*12:03:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.004823,595
 948  A*02:01:01-B*35:03:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.004823,595
 949  A*31:01-B*35:03-C*12:03-DRB1*04:08  Poland DKMS 0.004720,653
 950  A*02:01-B*35:08-C*12:03-DRB1*07:01  Poland DKMS 0.004620,653
 951  A*11:01:01-B*35:03:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.004523,595
 952  A*02:01-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02  India South UCBB 0.004511,446
 953  A*03:01-B*35:03-C*12:03-DRB1*04:03-DQB1*03:02  India South UCBB 0.004511,446
 954  A*11:01-B*35:03-C*12:03-DRB1*14:01  Poland DKMS 0.004520,653
 955  A*01:01-B*35:03-C*12:03-DRB1*12:01-DQB1*03:01  India South UCBB 0.004411,446
 956  A*01:01-B*35:03-C*12:03-DRB1*15:02-DQB1*05:03  India South UCBB 0.004411,446
 957  A*02:01-B*35:03-C*12:03-DRB1*11:11-DQB1*03:01  India South UCBB 0.004411,446
 958  A*02:01-B*35:03-C*12:03-DRB1*12:01-DQB1*03:01  India South UCBB 0.004411,446
 959  A*02:03-B*35:03-C*12:03-DRB1*10:01-DQB1*06:03  India South UCBB 0.004411,446
 960  A*02:03-B*35:03-C*12:03-DRB1*14:15-DQB1*05:03  India South UCBB 0.004411,446
 961  A*02:06-B*35:03-C*12:03-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 962  A*02:06-B*35:03-C*12:03-DRB1*11:04-DQB1*03:01  India South UCBB 0.004411,446
 963  A*02:06-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India South UCBB 0.004411,446
 964  A*02:11-B*35:03-C*12:03-DRB1*13:02-DQB1*06:04  India South UCBB 0.004411,446
 965  A*02:131-B*35:03-C*12:03-DRB1*04:03-DQB1*03:02  India South UCBB 0.004411,446
 966  A*02:20-B*35:03-C*12:03-DRB1*08:03-DQB1*03:01  India South UCBB 0.004411,446
 967  A*03:01-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 968  A*03:01-B*35:03-C*12:03-DRB1*14:04-DQB1*05:02  India South UCBB 0.004411,446
 969  A*11:01-B*35:03-C*12:03-DRB1*04:10-DQB1*04:02  India South UCBB 0.004411,446
 970  A*11:01-B*35:03-C*12:03-DRB1*12:02-DQB1*03:01  India South UCBB 0.004411,446
 971  A*11:01-B*35:03-C*12:03-DRB1*14:07-DQB1*05:03  India South UCBB 0.004411,446
 972  A*24:02-B*35:03-C*12:03-DRB1*04:04  Hong Kong Chinese BMDR 0.00447,595
 973  A*24:02-B*35:03-C*12:03-DRB1*15:06-DQB1*05:02  India South UCBB 0.004411,446
 974  A*24:02-B*35:03-C*12:03-DRB1*16:02-DQB1*05:02  India South UCBB 0.004411,446
 975  A*24:03-B*35:03-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.004411,446
 976  A*24:07-B*35:03-C*12:03-DRB1*04:03-DQB1*03:05  India South UCBB 0.004411,446
 977  A*24:07-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 978  A*24:11N-B*35:03-C*12:03-DRB1*08:03-DQB1*03:01  India South UCBB 0.004411,446
 979  A*26:01-B*35:03-C*12:03-DRB1*11:04-DQB1*03:01  India South UCBB 0.004411,446
 980  A*31:01-B*35:03-C*12:03-DRB1*04:01-DQB1*03:01  India South UCBB 0.004411,446
 981  A*31:01-B*35:03-C*12:03-DRB1*14:04-DQB1*05:03  India North UCBB 0.00445,849
 982  A*31:16-B*35:03-C*12:03-DRB1*03:01-DQB1*02:01  India South UCBB 0.004411,446
 983  A*31:16-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 984  A*32:01-B*35:03-C*12:03-DRB1*14:04-DQB1*05:03  India South UCBB 0.004411,446
 985  A*33:160-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 986  A*66:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03  India South UCBB 0.004411,446
 987  A*68:01-B*35:03-C*12:03-DRB1*03:01-DQB1*02:01  India South UCBB 0.004411,446
 988  A*68:01-B*35:03-C*12:03-DRB1*15:02-DQB1*05:03  India South UCBB 0.004411,446
 989  A*26:01-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02  India South UCBB 0.004311,446
 990  A*11:01:01-B*35:03:01-C*12:03:01-DRB1*01:01:01-DQB1*03:01:01  Poland BMR 0.004223,595
 991  A*25:01:01-B*35:02:01-C*12:03:01-DRB1*11:04:01-DQB1*06:03:01  Poland BMR 0.004223,595
 992  A*31:01:02-B*35:03:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.004223,595
 993  A*32:01:01-B*35:03:01-C*12:03:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.004223,595
 994  A*01:01:01-B*35:03:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.004223,595
 995  A*24:02-B*35:03-C*12:03-DRB1*11:08-DQB1*03:01  India West UCBB 0.00425,829
 996  A*24:02-B*35:03-C*12:03-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Korean 0.004277,584
 997  A*03:01:01-B*35:03:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.004223,595
 998  A*11:01-B*35:03-C*12:03-DRB1*11:06-DQB1*03:01  India South UCBB 0.004111,446
 999  A*11:44-B*35:03-C*12:03-DRB1*15:02-DQB1*06:01  India South UCBB 0.004111,446
 1,000  A*02:11-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02  India Central UCBB 0.00404,204

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 1,139) 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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