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 1,273) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 13  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 801  A*69:01-B*57:01-C*06:02-DRB1*11:01-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 802  A*26:01-B*15:18-C*07:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:01  Sri Lanka Colombo 0.2101714
 803  A*02:06-B*48:01-C*08:01-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.20003,078
 804  A*26:01-B*40:02-C*03:04-DRB1*08:02-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.20003,078
 805  DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*135:01  Hong Kong Chinese HKBMDR. DQ and DP 0.19221,064
 806  DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.1894833
 807  DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:01  Hong Kong Chinese HKBMDR. DQ and DP 0.17411,064
 808  A*24:02-B*35:01-C*03:03-DRB1*08:02-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.16003,078
 809  A*26:01-B*15:01-C*04:01-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.16003,078
 810  DRB1*04:03-DQA1*03:01-DQB1*03:05  USA European American 0.16001,899
 811  A*01-B*35-DRB1*11:04-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.1560641
 812  A*24-B*15-DRB1*04:05-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.1560641
 813  A*24-B*35-DRB1*04:04-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.1560641
 814  A*26-B*44-DRB1*04:01-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.1560641
 815  A*68-B*15-DRB1*04:01-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.1560641
 816  A*68-B*27-DRB1*04:03-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.1560641
 817  A*02:11-B*18:01-C*14:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:01  Sri Lanka Colombo 0.1401714
 818  A*11:01-B*15:18-C*16:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:01  Sri Lanka Colombo 0.1401714
 819  A*11:01-B*51:01-C*16:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*02:01  Sri Lanka Colombo 0.1401714
 820  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:01  Sri Lanka Colombo 0.1401714
 821  A*24:17-B*51:01-C*14:02-DRB1*04:03-DQA1*03:01-DQB1*03:05-DPB1*04:02  Sri Lanka Colombo 0.1401714
 822  A*33:03-B*07:02-C*07:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*02:01  Sri Lanka Colombo 0.1401714
 823  A*33:03-B*35:01-C*04:01-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*02:01  Sri Lanka Colombo 0.1401714
 824  A*33:03-B*44:03-C*07:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:01  Sri Lanka Colombo 0.1401714
 825  A*68:01-B*27:05-C*02:02-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*26:01  Sri Lanka Colombo 0.1401714
 826  A*68:01-B*37:01-C*06:02-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*04:01  Sri Lanka Colombo 0.1401714
 827  A*68:01-B*51:01-C*15:02-DRB1*04:01-DQA1*03:01-DQB1*06:01-DPB1*26:01  Sri Lanka Colombo 0.1401714
 828  A*68:01-B*55:01-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*02:01  Sri Lanka Colombo 0.1401714
 829  DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*05:01  China Zhejiang Han pop 2 0.1203833
 830  DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*02:02  China Zhejiang Han pop 2 0.1165833
 831  DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*02:01  China Zhejiang Han pop 2 0.1156833
 832  DRB1*04:01-DQA1*03:01-DQB1*03:01  USA European American 0.11001,899
 833  A*26:01-B*40:02-C*03:04-DRB1*08:02-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 834  A*26:01-B*48:01-C*08:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 835  A*26:03-B*35:01-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 836  A*26:03-B*35:01-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.10003,078
 837  A*31:01-B*15:01-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 838  DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*02:02  China Zhejiang Han pop 2 0.0996833
 839  DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*03:01  Hong Kong Chinese HKBMDR. DQ and DP 0.09481,064
 840  DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*02:02  China Zhejiang Han pop 2 0.0929833
 841  A*03-B*44-DRB1*04:05-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0884641
 842  A*02-B*44-DRB1*04:05-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0805641
 843  A*01-B*35-DRB1*04:01-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 844  A*01-B*35-DRB1*04:05-DQA1*03:01-DQB1*02:02  Brazil Paraná Caucasian 0.0780641
 845  A*01-B*37-DRB1*04:02-DQA1*03:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 846  A*01-B*49-DRB1*04:02-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 847  A*01-B*51-DRB1*04:02-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 848  A*02-B*15-DRB1*04:03-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 849  A*02-B*18-DRB1*04:01-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 850  A*02-B*35-DRB1*04:10-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 851  A*02-B*39-DRB1*04:11-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 852  A*02-B*40-DRB1*04:01-DQA1*03:01-DQB1*03:05  Brazil Paraná Caucasian 0.0780641
 853  A*02-B*40-DRB1*08:02-DQA1*03:01-DQB1*06:03  Brazil Paraná Caucasian 0.0780641
 854  A*02-B*41-DRB1*04:03-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 855  A*02-B*48-DRB1*09:01-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 856  A*02-B*51-DRB1*04:03-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 857  A*02-B*51-DRB1*04:04-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 858  A*02-B*51-DRB1*11:02-DQA1*03:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 859  A*02-B*56-DRB1*04:08-DQA1*03:01-DQB1*06:02  Brazil Paraná Caucasian 0.0780641
 860  A*02-B*58-DRB1*04:01-DQA1*03:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 861  A*02-B*58-DRB1*04:02-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 862  A*03-B*07-DRB1*04:03-DQA1*03:01-DQB1*03:03  Brazil Paraná Caucasian 0.0780641
 863  A*03-B*15-DRB1*13:01-DQA1*03:01-DQB1*06:03  Brazil Paraná Caucasian 0.0780641
 864  A*03-B*27-DRB1*04:01-DQA1*03:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 865  A*03-B*35-DRB1*04:02-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 866  A*03-B*35-DRB1*04:04-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 867  A*03-B*51-DRB1*04:01-DQA1*03:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 868  A*03-B*51-DRB1*04:04-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 869  A*03-B*56-DRB1*04:04-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 870  A*11-B*07-DRB1*04:01-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 871  A*11-B*35-DRB1*04:03-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 872  A*11-B*40-DRB1*04:04-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 873  A*11-B*44-DRB1*15:03-DQA1*03:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 874  A*11-B*47-DRB1*04:11-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 875  A*11-B*53-DRB1*04:04-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 876  A*23-B*07-DRB1*09:01-DQA1*03:01-DQB1*03:03  Brazil Paraná Caucasian 0.0780641
 877  A*23-B*15-DRB1*04:05-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 878  A*23-B*18-DRB1*04:04-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 879  A*23-B*35-DRB1*04:02-DQA1*03:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 880  A*23-B*35-DRB1*04:05-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 881  A*24-B*18-DRB1*08:01-DQA1*03:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 882  A*24-B*35-DRB1*04:01-DQA1*03:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 883  A*24-B*44-DRB1*04:03-DQA1*03:01-DQB1*03:04  Brazil Paraná Caucasian 0.0780641
 884  A*24-B*44-DRB1*04:08-DQA1*03:01-DQB1*02:01  Brazil Paraná Caucasian 0.0780641
 885  A*24-B*50-DRB1*04:04-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 886  A*24-B*51-DRB1*04:11-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 887  A*24-B*51-DRB1*09:01-DQA1*03:01-DQB1*03:03  Brazil Paraná Caucasian 0.0780641
 888  A*24-B*52-DRB1*04:04-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 889  A*25-B*13-DRB1*04:02-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 890  A*25-B*51-DRB1*10:01-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 891  A*26-B*07-DRB1*04:05-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 892  A*26-B*15-DRB1*04:01-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 893  A*26-B*38-DRB1*04:02-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 894  A*26-B*44-DRB1*04:03-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 895  A*26-B*44-DRB1*04:05-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 896  A*26-B*49-DRB1*04:06-DQA1*03:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 897  A*29-B*07-DRB1*04:02-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 898  A*29-B*27-DRB1*01:01-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 899  A*29-B*39-DRB1*04:04-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 900  A*29-B*44-DRB1*11:01-DQA1*03:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641

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 1,273) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 13  


   

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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