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 48 (from 48) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Black 4.761973
 2  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 1.8600215
 3  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Parda 1.7647170
 4  A*24:02:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Black 1.470668
 5  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.99281,510
 6  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQA1*01:01:02-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.9804153
 7  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.9375405
 8  A*02:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.9050221
 9  A*33:01:01-B*14:02:01-C*08:02:01:01-DRB1*01:02:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.7812192
 10  A*02:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 11  A*03:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 12  A*32:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.4525221
 13  A*32:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 14  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 15  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 16  A*29:02:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 17  A*69:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 18  A*03:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 19  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 20  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.211723,595
 21  A*02:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*14:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 22  A*02:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 23  A*03:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 24  A*03:01:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.10391,510
 25  A*02:01:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.09981,510
 26  A*02:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.080023,595
 27  A*26:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.06621,510
 28  A*24:02:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.06511,510
 29  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  China Zhejiang Han 0.05771,734
 30  A*11:01:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.04001,510
 31  A*03:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.036923,595
 32  A*24:03:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 33  A*30:02:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 34  A*31:01:02:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.02291,510
 35  A*34:02:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.019823,595
 36  A*68:02:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.015823,595
 37  A*24:02:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.015723,595
 38  A*11:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.014023,595
 39  A*26:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.010723,595
 40  A*29:10:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.008523,595
 41  A*32:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.006823,595
 42  A*33:05-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.006423,595
 43  A*68:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.005823,595
 44  A*25:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.005023,595
 45  A*29:02:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.004623,595
 46  A*23:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.003423,595
 47  A*68:01:02-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.001323,595
 48  A*01:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.000232923,595

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