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 : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 801 to 900 (from 3,183) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 32  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 801  A*02:01-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  USA NMDP American Indian South or Central America 0.22545,926
 802  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQB1*04:02-DPB1*03:01  Russia Karelia 0.22531,075
 803  A*30:01-B*42:01-C*17:01-DRB1*03:02-DRB3*01:01-DQB1*04:02  USA NMDP Hispanic South or Central American 0.2244146,714
 804  A*34:01-B*15:35-C*07:02-DRB1*04:05-DQB1*04:02  USA Asian pop 2 0.22201,772
 805  DRB1*03:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.2200234
 806  DRB1*04:10-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.2200234
 807  DRB1*04:11-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.2200234
 808  DRB1*08:01-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.2200234
 809  DRB1*14:06-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.2200234
 810  DRB1*03:02-DQB1*04:02-DPB1*13:01  Gambia pop 3 0.2177939
 811  DRB1*03:02-DQB1*04:02-DPB1*131:01  Gambia pop 3 0.2177939
 812  A*02:01-B*35:01-C*07:05-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  Nicaragua Managua 0.2165339
 813  A*02:01-B*51:01-C*15:09-DRB1*04:11-DQA1*03:01-DQB1*04:02-DPB1*04:02  Nicaragua Managua 0.2165339
 814  A*02:05-B*41:01-C*07:01-DRB1*04:10-DQA1*03:01-DQB1*04:02-DPB1*01:01  Nicaragua Managua 0.2165339
 815  A*02:06-B*40:27-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPB1*04:02  Nicaragua Managua 0.2165339
 816  A*03:01-B*39:08-C*07:02-DRB1*04:05-DQA1*03:01-DQB1*04:02-DPB1*04:02  Nicaragua Managua 0.2165339
 817  A*23:01-B*39:11-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*04:02-DPB1*04:02  Nicaragua Managua 0.2165339
 818  A*23:01-B*44:03-C*04:01-DRB1*04:05-DQA1*03:01-DQB1*04:02-DPB1*04:01  Nicaragua Managua 0.2165339
 819  A*24:02-B*35:01-C*08:02-DRB1*07:01-DQA1*02:01-DQB1*04:02-DPB1*02:01  Nicaragua Managua 0.2165339
 820  A*24:02-B*35:12-C*04:01-DRB1*08:02-DQA1*05:01-DQB1*04:02-DPB1*04:02  Nicaragua Managua 0.2165339
 821  A*24:02-B*38:01-C*12:03-DRB1*04:02-DQA1*04:01-DQB1*04:02-DPB1*04:01  Nicaragua Managua 0.2165339
 822  A*24:02-B*39:11-C*08:03-DRB1*16:02-DQA1*03:01-DQB1*04:02-DPB1*04:01  Nicaragua Managua 0.2165339
 823  A*26:01-B*07:02-C*07:02-DRB1*08:01-DQA1*04:01-DQB1*04:02-DPB1*04:01  Nicaragua Managua 0.2165339
 824  A*29:02-B*81:01-C*18:01-DRB1*08:04-DQA1*04:01-DQB1*04:02-DPB1*01:01  Nicaragua Managua 0.2165339
 825  A*30:02-B*07:02-C*07:02-DRB1*04:11-DQA1*03:01-DQB1*04:02-DPB1*18:01  Nicaragua Managua 0.2165339
 826  A*31:01-B*07:02-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPB1*03:01  Nicaragua Managua 0.2165339
 827  A*31:01-B*35:12-C*08:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPB1*14:01  Nicaragua Managua 0.2165339
 828  A*31:01-B*40:01-C*03:04-DRB1*08:01-DQA1*04:01-DQB1*04:02-DPB1*02:01  Nicaragua Managua 0.2165339
 829  A*31:01-B*40:02-C*03:05-DRB1*14:02-DQA1*03:01-DQB1*04:02-DPB1*04:02  Nicaragua Managua 0.2165339
 830  A*31:78-B*15:01-C*01:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPB1*04:02  Nicaragua Managua 0.2165339
 831  A*33:01-B*42:01-C*17:01-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  Nicaragua Managua 0.2165339
 832  A*68:02-B*40:01-C*03:04-DRB1*03:01-DQA1*03:01-DQB1*04:02-DPB1*02:02  Nicaragua Managua 0.2165339
 833  A*68:03-B*39:08-C*07:17-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPB1*03:01  Nicaragua Managua 0.2165339
 834  A*68:03-B*40:02-C*03:05-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPB1*02:01  Nicaragua Managua 0.2165339
 835  A*68:05-B*52:01-C*03:03-DRB1*04:11-DQA1*03:01-DQB1*04:02-DPB1*03:01  Nicaragua Managua 0.2165339
 836  DRB1*03:02-DQB1*04:02-DPB1*40:01  Gambia pop 3 0.2131939
 837  A*02:06-B*39:05-C*07:02-DRB1*08:02-DQB1*04:02  USA NMDP Hawaiian or other Pacific Islander 0.211111,499
 838  A*02:01-B*44:02-C*05:01-DRB1*08:01-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.20504,335
 839  A*11:01-B*56:04-C*07:02-DRB1*04:05-DQB1*04:02  USA NMDP Hawaiian or other Pacific Islander 0.204511,499
 840  A*30:01:01-B*42:01-C*17:01:01-DRB1*03:02-DQB1*04:02:01-DPB1*01:01:01  Saudi Arabia pop 6 (G) 0.203528,927
 841  DRB1*08:01:01-DQB1*04:02  China Inner Mongolia Autonomous Region Northeast 0.2020496
 842  A*02:01-B*51:01-C*14:02:01-DRB1*08:01-DQB1*04:02  England North West 0.2000298
 843  A*03:01-B*08:01-C*07:01-DRB1*08:01-DQB1*04:02  England North West 0.2000298
 844  A*03:01-B*18:01-C*07:01-DRB1*08:01-DQB1*04:02  England North West 0.2000298
 845  A*23:01-B*15:01-C*04:01-DRB1*08:01-DQB1*04:02  England North West 0.2000298
 846  A*23:01-B*50:02-C*06:02-DRB1*04:06-DQB1*04:02  England North West 0.2000298
 847  A*29:02:01-B*56:01-C*01:02-DRB1*08:01-DQB1*04:02  England North West 0.2000298
 848  A*31:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02  England North West 0.2000298
 849  A*03:01:01:01-B*35:03:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.19821,510
 850  DQB1*04:02-DPB1*03:01:01  China Inner Mongolia Autonomous Region Northeast 0.1980496
 851  A*01:01:01-B*08:01:01-C*01:02:01-DRB1*04:03:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 852  A*01:01:01-B*08:01:01-C*03:04:01-DRB1*12:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 853  A*02:01:01-B*41:02:01-C*07:01:01-DRB1*04:04:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 854  A*02:01:01-B*42:01:01-C*03:03:01-DRB1*03:02:01-DQB1*04:02:01-DPA1*02:01:01-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 855  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 856  A*02:02:01-B*51:01:01-C*02:02:02-DRB1*07:01:01-DQB1*04:02:01-DPA1*02:01:08-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 857  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*15:01:01-DQB1*04:02:01-DPA1*02:01:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 858  A*23:01:01-B*14:02:01-C*06:02:01-DRB1*08:01:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*05:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 859  A*24:02:01-B*15:01:01-C*05:01:01-DRB1*09:01:02-DQB1*04:02:01-DPA1*02:01:01-DPB1*06:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 860  A*24:02:01-B*39:06:02-C*06:02:01-DRB1*07:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 861  A*30:02:01-B*58:01:01-C*14:02:01-DRB1*07:01:01-DQB1*04:02:01-DPA1*02:01:08-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 862  A*31:01:02-B*15:01:01-C*01:02:01-DRB1*08:02:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 863  A*31:01:02-B*35:04:01-C*04:01:01-DRB1*08:07-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 864  A*32:01:01-B*15:01:01-C*07:01:01-DRB1*01:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 865  A*68:01:02-B*39:02:02-C*03:04:01-DRB1*08:04:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 866  A*68:02-B*57:01-C*07:01-DRB1*03:02-DQB1*04:02  USA NMDP Caribean Indian 0.192214,339
 867  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.192123,595
 868  A*02:01-B*08:01-C*07:02-DRB1*04:11-DQB1*04:02-DPB1*14:01  Panama 0.1900462
 869  A*02:01-B*35:01-C*04:01-DRB1*04:01-DQB1*04:02-DPB1*04:02  Panama 0.1900462
 870  A*02:01-B*35:12-C*07:01-DRB1*08:02-DQB1*04:02-DPB1*105:01  Panama 0.1900462
 871  A*02:01-B*40:02-C*03:05-DRB1*04:04-DQB1*04:02-DPB1*04:02  Panama 0.1900462
 872  A*02:01-B*44:02-C*05:01-DRB1*08:01-DQB1*04:02-DPB1*04:02  Panama 0.1900462
 873  A*02:01-B*51:01-C*04:01-DRB1*08:11-DQB1*04:02-DPB1*11:01  Panama 0.1900462
 874  A*02:04-B*44:02-C*07:01-DRB1*04:03-DQB1*04:02-DPB1*14:01  Panama 0.1900462
 875  A*02:06-B*39:01-C*03:04-DRB1*04:04-DQB1*04:02-DPB1*14:01  Panama 0.1900462
 876  A*02:22-B*35:01-C*03:04-DRB1*04:05-DQB1*04:02-DPB1*04:02  Panama 0.1900462
 877  A*03:01-B*53:01-C*04:01-DRB1*03:02-DQB1*04:02-DPB1*18:01  Panama 0.1900462
 878  A*11:01-B*44:02-C*05:01-DRB1*08:01-DQB1*04:02-DPB1*02:01  Panama 0.1900462
 879  A*23:01-B*14:03-C*01:02-DRB1*03:02-DQB1*04:02-DPB1*04:01  Panama 0.1900462
 880  A*23:01-B*39:08-C*02:10-DRB1*04:01-DQB1*04:02-DPB1*04:01  Panama 0.1900462
 881  A*23:01-B*53:01-C*08:02-DRB1*07:11-DQB1*04:02-DPB1*01:01  Panama 0.1900462
 882  A*24:02-B*08:01-C*05:01-DRB1*04:05-DQB1*04:02-DPB1*04:02  Panama 0.1900462
 883  A*24:02-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02-DPB1*04:02  Panama 0.1900462
 884  A*24:02-B*39:01-C*07:02-DRB1*08:01-DQB1*04:02-DPB1*04:02  Panama 0.1900462
 885  A*24:02-B*39:08-C*07:02-DRB1*04:05-DQB1*04:02-DPB1*14:01  Panama 0.1900462
 886  A*24:02-B*39:11-C*03:05-DRB1*04:07-DQB1*04:02-DPB1*14:01  Panama 0.1900462
 887  A*24:02-B*40:01-C*01:02-DRB1*04:05-DQB1*04:02-DPB1*04:02  Panama 0.1900462
 888  A*24:02-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02-DPB1*03:01  Panama 0.1900462
 889  A*24:02-B*40:02-C*04:01-DRB1*14:02-DQB1*04:02-DPB1*04:02  Panama 0.1900462
 890  A*24:02-B*49:01-C*07:01-DRB1*08:02-DQB1*04:02-DPB1*04:01  Panama 0.1900462
 891  A*31:01-B*39:08-C*04:01-DRB1*04:10-DQB1*04:02-DPB1*14:01  Panama 0.1900462
 892  A*31:01-B*40:02-C*03:05-DRB1*04:07-DQB1*04:02-DPB1*04:02  Panama 0.1900462
 893  A*32:01-B*27:08-C*06:02-DRB1*07:11-DQB1*04:02-DPB1*01:01  Panama 0.1900462
 894  A*33:01-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02-DPB1*105:01  Panama 0.1900462
 895  A*33:01-B*35:01-C*04:01-DRB1*13:02-DQB1*04:02-DPB1*04:01  Panama 0.1900462
 896  A*33:01-B*51:02-C*15:02-DRB1*08:02-DQB1*04:02-DPB1*04:01  Panama 0.1900462
 897  A*68:01-B*35:01-C*03:04-DRB1*08:04-DQB1*04:02-DPB1*14:01  Panama 0.1900462
 898  A*68:01-B*35:01-C*04:01-DRB1*08:01-DQB1*04:02-DPB1*04:02  Panama 0.1900462
 899  A*68:01-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02-DPB1*14:01  Panama 0.1900462
 900  A*68:01-B*40:02-C*03:05-DRB1*04:10-DQB1*04:02-DPB1*14:01  Panama 0.1900462

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 3,183) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 32  


   

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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