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 801 to 900 (from 960) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 10  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 801  A*01:01-B*35:01-C*04:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 802  A*03:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 803  A*11:01-B*51:01-C*14:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 804  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*09:01  Sri Lanka Colombo 0.1401714
 805  A*24:07-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 806  A*32:01-B*51:01-C*14:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 807  A*33:03-B*27:02-C*02:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:02  Sri Lanka Colombo 0.1401714
 808  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*41:01  China Zhejiang Han pop 2 0.1200833
 809  DQA1*05:01-DQB1*02:01-DPA1*02:02-DPB1*135:01  Hong Kong Chinese HKBMDR. DQ and DP 0.10321,064
 810  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:02  China Zhejiang Han pop 2 0.0975833
 811  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*03:01  China Zhejiang Han pop 2 0.0953833
 812  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*02:02-DPB1*02:02  China Zhejiang Han pop 2 0.0907833
 813  A*01-B*27-DRB1*03:01-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 814  A*02-B*08-DRB1*01:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 815  A*02-B*18-DRB1*11:04-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 816  A*02-B*27-DRB1*11:04-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 817  A*02-B*35-DRB1*03:01-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 818  A*02-B*35-DRB1*11:04-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 819  A*02-B*35-DRB1*16:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 820  A*02-B*39-DRB1*11:04-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 821  A*02-B*51-DRB1*03:01-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 822  A*02-B*51-DRB1*11:01-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 823  A*02-B*52-DRB1*04:11-DQA1*05:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 824  A*03-B*18-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 825  A*03-B*35-DRB1*11:01-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 826  A*03-B*38-DRB1*11:01-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 827  A*03-B*55-DRB1*12:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 828  A*03-B*58-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 829  A*11-B*37-DRB1*11:01-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 830  A*11-B*49-DRB1*16:01-DQA1*05:01-DQB1*03:05  Brazil Paraná Caucasian 0.0780641
 831  A*23-B*07-DRB1*13:03-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 832  A*23-B*18-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 833  A*23-B*44-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 834  A*23-B*45-DRB1*03:02-DQA1*05:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 835  A*24-B*14-DRB1*11:03-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 836  A*24-B*14-DRB1*13:03-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 837  A*24-B*18-DRB1*11:01-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 838  A*24-B*35-DRB1*07:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 839  A*24-B*49-DRB1*11:01-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 840  A*24-B*49-DRB1*11:04-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 841  A*24-B*51-DRB1*11:01-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 842  A*25-B*49-DRB1*11:04-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 843  A*26-B*38-DRB1*11:04-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 844  A*26-B*52-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 845  A*30-B*08-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 846  A*30-B*14-DRB1*11:03-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 847  A*30-B*18-DRB1*03:01-DQA1*05:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 848  A*30-B*42-DRB1*08:04-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 849  A*30-B*50-DRB1*11:04-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 850  A*31-B*35-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 851  A*31-B*49-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 852  A*32-B*18-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 853  A*32-B*38-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 854  A*32-B*41-DRB1*11:04-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 855  A*32-B*45-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 856  A*33-B*53-DRB1*03:02-DQA1*05:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 857  A*33-B*58-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 858  A*34-B*53-DRB1*03:01-DQA1*05:01-DQB1*03:19  Brazil Paraná Caucasian 0.0780641
 859  A*36-B*57-DRB1*15:03-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 860  A*66-B*50-DRB1*08:04-DQA1*05:01-DQB1*03:19  Brazil Paraná Caucasian 0.0780641
 861  A*68-B*15-DRB1*11:01-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 862  A*68-B*37-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 863  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*02:02-DPB1*02:01  China Zhejiang Han pop 2 0.0744833
 864  DQA1*05:01-DQB1*02:01-DPA1*02:02-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.07321,064
 865  DQA1*05:01-DQB1*02:01-DPA1*02:01-DPB1*17:01  Hong Kong Chinese HKBMDR. DQ and DP 0.07241,064
 866  A*01:01-B*07:02-C*07:02-DRB1*07:01-DQA1*05:01-DQB1*02:02-DPB1*26:01  Sri Lanka Colombo 0.0700714
 867  A*01:01-B*40:01-C*12:03-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 868  A*01:01-B*40:06-C*07:01-DRB1*04:03-DQA1*05:01-DQB1*02:01-DPB1*01:01  Sri Lanka Colombo 0.0700714
 869  A*01:01-B*51:19-C*14:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*16:01  Sri Lanka Colombo 0.0700714
 870  A*01:01-B*58:01-C*03:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 871  A*02:01-B*18:01-C*12:03-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 872  A*02:01-B*35:03-C*06:02-DRB1*07:01-DQA1*05:01-DQB1*02:02-DPB1*01:01  Sri Lanka Colombo 0.0700714
 873  A*02:01-B*40:06-C*15:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 874  A*02:01-B*44:03-C*07:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 875  A*02:01-B*52:01-C*06:02-DRB1*07:01-DQA1*05:01-DQB1*03:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 876  A*02:03-B*48:04-C*08:01-DRB1*15:02-DQA1*05:01-DQB1*03:01-DPB1*04:02  Sri Lanka Colombo 0.0700714
 877  A*02:05-B*58:01-C*06:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 878  A*02:05-B*58:01-C*06:02-DRB1*07:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 879  A*02:06-B*35:05-C*04:01-DRB1*14:02-DQA1*05:01-DQB1*05:01-DPB1*05:01  Sri Lanka Colombo 0.0700714
 880  A*02:06-B*58:01-C*03:02-DRB1*10:01-DQA1*05:01-DQB1*05:01-DPB1*10:01  Sri Lanka Colombo 0.0700714
 881  A*02:11-B*07:05-C*07:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 882  A*02:11-B*15:02-C*08:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  Sri Lanka Colombo 0.0700714
 883  A*02:11-B*35:03-C*04:01-DRB1*04:03-DQA1*05:01-DQB1*03:01-DPB1*15:01  Sri Lanka Colombo 0.0700714
 884  A*02:11-B*48:04-C*08:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 885  A*02:11-B*51:19-C*14:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 886  A*02:16-B*35:02-C*04:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPB1*01:01  Sri Lanka Colombo 0.0700714
 887  A*03:01-B*15:18-C*07:04-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:02  Sri Lanka Colombo 0.0700714
 888  A*03:01-B*35:03-C*04:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 889  A*03:01-B*40:06-C*12:02-DRB1*14:15-DQA1*05:01-DQB1*02:01-DPB1*17:01  Sri Lanka Colombo 0.0700714
 890  A*03:01-B*55:01-C*03:04-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 891  A*11:01-B*15:18-C*07:04-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 892  A*11:01-B*35:03-C*16:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 893  A*11:01-B*51:01-C*07:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 894  A*24:02-B*07:05-C*07:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 895  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 896  A*24:02-B*18:01-C*12:03-DRB1*15:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 897  A*24:02-B*35:01-C*04:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 898  A*24:02-B*40:01-C*12:02-DRB1*15:01-DQA1*05:01-DQB1*06:01-DPB1*26:01  Sri Lanka Colombo 0.0700714
 899  A*24:02-B*40:06-C*01:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 900  A*24:02-B*44:02-C*05:01-DRB1*07:01-DQA1*05:01-DQB1*03:01-DPB1*14:01  Sri Lanka Colombo 0.0700714

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 960) 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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional