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*03:01:01-B*37:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 1.1765170
 2  A*01:01-B*37:01:01-C*06:02-DRB1*15:01-DQB1*06:02:01  England North West 1.0000298
 3  A*01-B*37-C*06:02-DRB1*15:01-DQB1*06  Russia Transbaikal Territory Buryats 1.0000150
 4  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*15:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 0.4525221
 5  A*01:01-B*37:01-C*06:02-DRB1*15:01-DQA1*01:02-DQB1*06:02  Kosovo 0.4030124
 6  A*11:01-B*37:01-C*06:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  Sri Lanka Colombo 0.2801714
 7  A*02:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 0.2604192
 8  A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 9  A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02  USA NMDP Alaska Native or Aleut 0.18341,376
 10  A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02  USA NMDP American Indian South or Central America 0.14775,926
 11  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.130623,595
 12  A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.10915,829
 13  A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:01  India Central UCBB 0.08024,204
 14  A*02:06-B*37:01-C*06:02-DRB1*15:01-DQA1*01:03-DQB1*06:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 15  A*02:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.06661,510
 16  A*01:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.06621,510
 17  A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.06475,849
 18  A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02-DPB1*04:02  Russia Karelia 0.05641,075
 19  A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.05204,856
 20  A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02  India East UCBB 0.05022,403
 21  A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.04902,492
 22  A*33:03-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 23  A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.04483,456,066
 24  A*01:02-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02  USA African American pop 4 0.04402,411
 25  A*11:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.04301,159
 26  A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.04212,403
 27  A*24:02-B*37:01-C*06:02-DRB1*15:01-DQB1*06:01  India Central UCBB 0.03884,204
 28  A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.038411,446
 29  A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.03421,463
 30  A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 31  A*02:01:01:01-B*37:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 32  A*25:01:01-B*37:01:01-C*06:02:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 33  A*02:06-B*37:01-C*06:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.02135,829
 34  A*24:02-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02  India East UCBB 0.02082,403
 35  A*68:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.02082,403
 36  A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02-DPB1*04:02  Germany DKMS - German donors 0.02073,456,066
 37  A*03:12-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.02012,492
 38  A*02:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.01923,456,066
 39  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.019123,595
 40  A*02:11-B*37:01-C*06:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.01585,829
 41  A*02:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.01415,829
 42  A*11:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.01194,204
 43  A*26:01:01-B*37:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.009323,595
 44  A*26:01-B*37:04-C*06:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.00865,829
 45  A*31:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.00865,829
 46  A*02:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.008311,446
 47  A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:289  India South UCBB 0.007111,446
 48  A*68:01:02-B*37:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.006523,595
 49  A*11:01:01-B*37:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.005523,595
 50  A*25:01:01-B*37:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004523,595
 51  A*01:01-B*37:51-C*06:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.004411,446
 52  A*24:33-B*37:01-C*06:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.004411,446
 53  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:03:01  Poland BMR 0.002223,595
 54  A*02:06-B*37:01-C*06:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.00115,849

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