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 53 (from 53) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*03:01:01-B*18:01:01-DRB1*13:01:01  Portugal Center 1.000050
 2  A*32:01-B*18:01:01-DRB1*13:01:01  Portugal South 1.000049
 3  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQA1*03:01:01-DQB1*03:02-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.6536153
 4  A*02:01:01-B*18:01:01-C*05:01:01:01-DRB1*13:01:01-DQB1*06:03  Russia Bashkortostan, Bashkirs 0.4167120
 5  A*03:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*02:01:01-DPB1*02:01  Russia Belgorod region 0.3268153
 6  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*23:01:01  Russia Belgorod region 0.3268153
 7  A*03:01:01-B*18:01:01-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 8  A*30:02:01-B*18:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 9  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.309823,595
 10  A*11:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 11  A*24:02:01-B*18:01:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 12  A*31:01:02-B*18:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 13  A*68:01:27-B*18:01:01-C*03:03:01-DRB1*13:01:01-DQB1*04:02:01  Russia Bashkortostan, Tatars 0.2604192
 14  A*69:01-B*18:01:01-C*06:02:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 15  A*25:01:01-B*18:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.23741,510
 16  A*03:01:01-B*18:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 17  A*31:01:02-B*18:01:01-C*02:02:02-DRB1*13:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 18  A*24:02:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 19  A*02:01:01:01-B*18:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 20  A*02:01:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 21  A*68:01:02:01-B*18:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 22  A*68:01:02:02-B*18:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 23  A*03:01:01-B*18:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.026423,595
 24  A*02:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.024623,595
 25  A*68:01:02-B*18:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.023623,595
 26  A*03:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.011723,595
 27  A*24:02:01-B*18:01:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.008523,595
 28  A*02:01:01-B*18:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.007623,595
 29  A*11:01:01-B*18:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.006523,595
 30  A*66:01:01-B*18:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.006423,595
 31  A*24:02:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.006123,595
 32  A*11:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.005923,595
 33  A*30:01:01-B*18:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.005923,595
 34  A*31:01:02-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.005523,595
 35  A*01:01:01-B*18:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.005123,595
 36  A*24:02:01-B*18:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.003923,595
 37  A*25:01:01-B*18:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.003923,595
 38  A*23:01:01-B*18:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.003923,595
 39  A*26:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.003423,595
 40  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002623,595
 41  A*02:01:01-B*18:01:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002523,595
 42  A*32:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002223,595
 43  A*02:01:01-B*18:01:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 44  A*24:02:01-B*18:01:01-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 45  A*30:04:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 46  A*68:01:02-B*18:01:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 47  A*32:01:01-B*18:01:01-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 48  A*03:26-B*18:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002023,595
 49  A*68:01:01-B*18:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002023,595
 50  A*03:01:01-B*18:01:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.001823,595
 51  A*31:01:02-B*18:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.000582523,595
 52  A*02:01:01-B*18:01:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.000556923,595
 53  A*32:01:01-B*18:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.000555023,595

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