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 1 to 35 (from 35) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DPA1*02:02:02-DPB1*01:01:01  Uganda Baganda 16.000047
 2  DPA1*02:02:02-DPB1*01:01:01  Ecuador African 13.800058
 3  DPA1*02:02:02-DPB1*01:01:01  Gambia 11.0000146
 4  DPA1*02:02:02-DPB1*01:01:01  Cameroon Saa 9.6000172
 5  DPA1*02:02:02-DPB1*01:01:01  India Bombay 4.200059
 6  A*02:01:01-B*81:01:01-C*08:04:01-DRB1*11:01:01-DQB1*05:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Black 2.381073
 7  A*03:01:01-B*07:02:01-C*06:02:01-DRB1*13:02:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Black 2.381073
 8  A*23:01:01-B*42:01:01-C*02:10:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 9  A*23:01:01-B*50:01:01-C*02:10:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 10  A*30:02:01-B*08:01:01-C*07:01:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 11  A*74:01:01-B*42:01:01-C*17:01:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 12  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*11:07:01-DQB1*02:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 13  A*02:01:01-B*15:04:01-C*02:10:01-DRB1*14:54:01-DQB1*06:04:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 14  A*02:01:01-B*42:01:01-C*16:01:01-DRB1*07:01:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 15  A*11:01:01-B*27:02:01-C*02:02:02-DRB1*08:02:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 16  A*23:01:01-B*14:02:01-C*08:02:01-DRB1*03:02:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 17  A*26:01:01-B*15:10:01-C*03:04:02-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 18  A*33:01:01-B*15:03:01-C*03:03:01-DRB1*03:02:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 19  A*02:01:01-B*15:18:01-C*07:04:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 20  A*02:01:01-B*45:01:01-C*16:01:01-DRB1*14:54:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 21  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 22  A*02:02:01-B*53:01:01-C*07:18:01-DRB1*03:01:01-DQB1*06:04:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 23  A*25:01:01-B*15:01:01-C*03:03:01-DRB1*01:03:01-DQB1*05:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 24  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 25  A*30:01:01-B*42:01:01-C*17:01:01-DRB1*03:02:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 26  A*68:02:01-B*81:01:01-C*18:01:01-DRB1*11:01:02-DQB1*03:19:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 27  A*01:02-B*42:01:01-C*17:01:01-DRB1*11:01:02-DQB1*06:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 28  A*02:20:01-B*35:20:01-C*04:01:01-DRB1*13:01:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 29  A*23:01:01-B*07:02:01-C*07:02:01-DRB1*03:02:01-DQB1*06:03:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 30  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*13:02:01-DQB1*06:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 31  A*30:01:01-B*42:02:01-C*17:01:01-DRB1*04:03:01-DQB1*03:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 32  A*30:02:01-B*18:01:01-C*05:01:01-DRB1*01:02:01-DQB1*02:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 33  A*34:02:01-B*13:02:01-C*04:01:01-DRB1*13:02:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 34  A*66:01:01-B*53:01:01-C*06:02:01-DRB1*16:02:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 35  A*68:02:01-B*57:03:01-C*18:02:01-DRB1*08:04:01-DQB1*03:01:04-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521

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).




   

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