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 54 (from 54) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.007823,595
 2  A*01:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 3  A*01:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  USA African American pop 4 0.04402,411
 4  A*02:01:01:01-B*39:01:01-C*12:03:01:01-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.03311,510
 5  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.068123,595
 6  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 7  A*02:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.33604,856
 8  A*02:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Italy minority 0.21601,159
 9  A*02:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Italy pop 5 0.1400975
 10  A*02:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 11  A*02:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  USA Hispanic pop 2 0.09401,999
 12  A*02:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02-DPB1*02:01  Russia Karelia 0.05651,075
 13  A*02:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02-DPB1*04:01  Germany DKMS - German donors 0.01573,456,066
 14  A*02:17:02-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 15  A*03:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.003323,595
 16  A*03:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Colombia North Wiwa El Encanto 0.961552
 17  A*03:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Italy minority 0.08601,159
 18  A*03:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 19  A*03:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  USA Hispanic pop 2 0.01201,999
 20  A*11:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002423,595
 21  A*23:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.004623,595
 22  A*23:01-B*39:01-C*12:03-E*01:03:02-F*01:03:01-G*01:01-DRB1*16:01:01-DQA1*01:02-DQB1*05:02:01  Portugal Azores Terceira Island 0.4386130
 23  A*24:02:01:01-B*39:01:01-C*12:03:01:01-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.06621,510
 24  A*24:02:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.015323,595
 25  A*24:02-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.09504,856
 26  A*24:02-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 27  A*24:05-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  USA Hispanic pop 2 0.01201,999
 28  A*24:93-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 29  A*25:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.026723,595
 30  A*25:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Italy pop 5 0.2900975
 31  A*25:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 32  A*25:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  USA Hispanic pop 2 0.04701,999
 33  A*26:01:01-B*39:01:01-C*12:03:01:01-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.03311,510
 34  A*26:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.059023,595
 35  A*26:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 36  A*26:01-B*39:01-C*12:03-DRB1*16:01-DQA1*01:02-DQB1*05:02  United Arab Emirates Abu Dhabi 0.960052
 37  A*26:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.05904,856
 38  A*26:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02-DPB1*04:01  Germany DKMS - German donors 0.01613,456,066
 39  A*26:08-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.001823,595
 40  A*29:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.009323,595
 41  A*29:02:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.004023,595
 42  A*30:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  USA Hispanic pop 2 0.04701,999
 43  A*31:01:02-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.006423,595
 44  A*32:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.020223,595
 45  A*32:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  USA African American pop 4 0.04402,411
 46  A*33:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 47  A*33:03:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 48  A*33:03:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 49  A*66:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 50  A*66:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01104,856
 51  A*68:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.006723,595
 52  A*68:01:02-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.012423,595
 53  A*68:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 54  A*68:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335

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