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 39 (from 39) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*39:05-C*07:02-DRB1*04:03-DQA1*03:01:01-DQB1*03:02-DPA1*01-DPB1*04:02  Venezuela Sierra de Perija Yucpa 9.300073
 2  A*68:01-B*39:01-DRB1*04:03-DQB1*03:02  Chile Mapuche 2.310066
 3  A*31-B*39-DRB1*04:03-DQB1*03:02  Colombia Wayu from Guajira Peninsula 2.080048
 4  A*02-B*39-DRB1*04:03-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 1.666760
 5  A*68:01-B*39:09-DRB1*04:03-DQB1*03:02  Chile Mapuche 1.540066
 6  A*02:01:01-B*39:01:01-C*07:01:01-DRB1*04:03:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 1.388972
 7  A*68:01-B*39:09-C*07:02-DRB1*04:03-DQA1*03:01:01-DQB1*03:02-DPA1*01-DPB1*04:02  Venezuela Sierra de Perija Yucpa 1.200073
 8  A*01:01-B*39:06-DRB1*04:03-DQB1*03:02  Chile Mapuche 0.770066
 9  A*02:01-B*39:09-DRB1*04:03-DQB1*03:02  Chile Mapuche 0.770066
 10  A*68:01-B*39:06-DRB1*04:03-DQB1*03:02  Chile Mapuche 0.770066
 11  A*68:03-B*39:02-C*07:02-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 12  A*01:01:01-B*39:01:01-C*07:01:01-DRB1*04:03:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 13  A*24:02-B*39:01-DRB1*04:03-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 14  A*24:02-B*39:05-C*03:27-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*14:01  Nicaragua Managua 0.2165339
 15  A*02:01-B*39:01-DRB1*04:03-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 16  A*68:03-B*39:01-DRB1*04:03-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 17  A*02:01-B*39:06-C*07:02-DRB1*04:03-DQB1*03:02  Italy pop 5 0.1400975
 18  A*24:02-B*39:02-C*07:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*05:01  Japan pop 17 0.07003,078
 19  A*26:03-B*39:01-C*07:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*05:01  Japan pop 17 0.07003,078
 20  A*24:02-B*39:01-C*12:03-DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 21  A*31:01-B*39:01-C*01:02-DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 22  A*68:07-B*39:08-C*07:02-DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 23  A*11:01-B*39:01-C*07:02-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.04401,772
 24  A*32:01-B*39:01-C*12:03-DRB1*04:03-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 25  A*24:02:01:01-B*39:06:02-C*16:02:01-DRB1*04:03:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 26  A*03:01-B*39:01-C*07:02-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.03104,856
 27  A*02:06-B*39:01-C*07:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 28  A*02:06-B*39:01-C*07:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 29  A*24:02-B*39:04-C*07:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 30  A*31:01-B*39:04-C*07:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 31  A*11:01:01-B*39:01:01-C*07:02:06-DRB1*04:03:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 32  A*31:01-B*39:01-C*12:03-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02012,492
 33  A*02:01-B*39:01-C*07:02-DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 34  A*11:01-B*39:01-C*07:02-DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 35  A*68:01-B*39:01-C*12:03-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 36  A*68:01-B*39:06-C*12:03-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 37  A*01:01-B*39:01-C*12:04-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.00852,492
 38  A*02:01:01-B*39:01:01-C*02:02:02-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002123,595
 39  A*31:01:02-B*39:01:01-C*12:03:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.001623,595

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