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 57 (from 57) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:02:01-DQB1*06:04  Russia Bashkortostan, Bashkirs 0.4167120
 2  A*02:01-B*38:01-C*12:03-DRB1*13:02-DQA1*01:02-DQB1*06:04  Kosovo 0.4030124
 3  A*02:01-B*38:01-C*12:03-DRB1*13:02-DQA1*01:03-DQB1*06:03  Brazil Puyanawa 0.3333150
 4  A*26:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.15201,159
 5  A*26:01-B*38:01-C*12:03-DRB1*13:02  Germany DKMS - Croatia minority 0.14602,057
 6  A*26:01-B*38:01-C*12:03-DRB1*13:02  Germany DKMS - France minority 0.14301,406
 7  A*24:03-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04  Italy pop 5 0.1400975
 8  A*26:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 9  A*02:01-B*38:01-C*12:03-DRB1*13:02  Italy pop 5 0.1000975
 10  A*24:02-B*38:01-C*12:03-DRB1*13:02  Germany DKMS - Austria minority 0.08801,698
 11  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:09:01  Costa Rica Central Valley Mestizo (G) 0.0854221
 12  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.0726221
 13  A*26:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:09  Germany DKMS - Italy minority 0.06401,159
 14  A*26:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04-DPB1*04:01  Russia Karelia 0.05651,075
 15  A*03:01-B*38:01-C*12:03-DRB1*13:02  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 16  A*24:03-B*38:01-C*12:03-DRB1*13:02  Germany DKMS - Croatia minority 0.04902,057
 17  A*68:01-B*38:01-C*12:03-DRB1*13:02  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 18  A*01:01-B*38:01-C*12:03-DRB1*13:02-DQB1*05:03  USA Hispanic pop 2 0.04701,999
 19  A*02:05-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.04701,999
 20  A*26:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:09  USA Hispanic pop 2 0.04701,999
 21  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.0470221
 22  A*23:01-B*38:01-C*12:03-DRB1*13:02  Germany DKMS - Spain minority 0.04501,107
 23  A*68:01-B*38:01-C*12:03-DRB1*13:02  Germany DKMS - Portugal minority 0.04301,176
 24  A*03:01-B*38:01-C*12:03-DRB1*13:02  Germany DKMS - France minority 0.03601,406
 25  A*26:01-B*38:01-C*12:03-DRB1*13:02  Germany DKMS - Netherlands minority 0.03601,374
 26  A*24:02-B*38:01-C*12:03-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.03421,463
 27  A*31:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.03421,463
 28  A*02:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 29  A*26:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:09  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 30  A*29:02-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 31  A*11:01:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 32  A*24:02:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:02:01-DQB1*05:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 33  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 34  A*02:05-B*38:01-C*12:03-DRB1*13:02  Germany DKMS - Austria minority 0.02901,698
 35  A*33:03-B*38:01-C*12:03-DRB1*13:02  Germany DKMS - Greece minority 0.02601,894
 36  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.0213221
 37  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.019523,595
 38  A*26:01-B*38:01-C*12:03-DRB1*13:02  Poland DKMS 0.018820,653
 39  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.018223,595
 40  A*26:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01404,856
 41  A*01:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.013023,595
 42  A*32:01-B*38:01-C*12:03-DRB1*13:02  Poland DKMS 0.012320,653
 43  A*03:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01004,856
 44  A*11:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.009023,595
 45  A*11:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04  India North UCBB 0.00855,849
 46  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00655,266
 47  A*02:01-B*38:01-C*12:03-DRB1*13:02  Poland DKMS 0.005620,653
 48  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.005423,595
 49  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.005323,595
 50  A*31:01-B*38:01-C*12:03-DRB1*13:02  Poland DKMS 0.004620,653
 51  A*25:01-B*38:01-C*12:03-DRB1*13:02  Poland DKMS 0.004320,653
 52  A*11:01-B*38:01-C*12:03-DRB1*13:02  Poland DKMS 0.003220,653
 53  A*24:07-B*38:01-C*12:03-DRB1*13:02  Poland DKMS 0.002420,653
 54  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.002323,595
 55  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.002223,595
 56  A*29:02:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 57  A*68:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.000403123,595

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