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 60 (from 60) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*44-DRB1*04:03-DQB1*03:02  Spain Pas Valley 3.300088
 2  A*02-B*44-DRB1*04:03-DQB1*03:02  Spain North Cabuerniga 2.200095
 3  A*02-B*44-DRB1*04:03-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 4  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*04:03:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 5  A*03:01:01-B*44:03:02-C*07:06-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 6  A*02:01:01-B*44:03:02-C*07:29:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 7  A*02:01:01-B*44:03:02-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 8  A*02:11:01-B*44:02:01-C*05:01:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 9  A*02:11:01-B*44:03:02-C*07:06-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 10  A*02:01-B*44:02-C*05:01-DRB1*04:03-DQB1*03:02  Colombia Bogotá Cord Blood 0.22311,463
 11  A*68:01:02-B*44:02:01-C*05:01:01-DRB1*04:03:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 12  A*33:03-B*44:03-C*07:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:01  Sri Lanka Colombo 0.1401714
 13  A*68:01:02-B*44:03:02-C*07:06-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 14  A*02:01-B*44:02-C*05:01-DRB1*04:03-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 15  A*33:03-B*44:03-C*07:01-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.13301,772
 16  A*33:03-B*44:03-C*14:03-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.08901,772
 17  A*33:03-B*44:03-C*07:06-DRB1*04:03-DQB1*03:02  India UCBB_Central Indian HLA 0.08694,204
 18  A*26-B*44-DRB1*04:03-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 19  A*68:01-B*44:03-C*07:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 20  A*33:03-B*44:03-C*07:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.06822,492
 21  A*29:02-B*44:03-C*16:01-DRB1*04:03-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 22  A*02:01-B*44:02-C*16:04-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.06022,492
 23  A*03:04-B*44:03-C*04:01-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Malay 0.0526951
 24  A*11:01-B*44:02-C*05:01-DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 25  A*31:06-B*44:02-C*15:02-DRB1*04:03-DQB1*03:02  India UCBB_Central Indian HLA 0.03574,204
 26  A*02:22-B*44:02-C*05:01-DRB1*04:03-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 27  A*24:02-B*44:03-C*04:01-DRB1*04:03-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 28  A*32:01-B*44:02-C*05:01-DRB1*04:03-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 29  A*11:01-B*44:02-C*05:01-DRB1*04:03-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 30  A*24:02-B*44:03-C*04:01-DRB1*04:03-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 31  A*26:01-B*44:02-C*05:01-DRB1*04:03-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 32  A*02:01-B*44:02-C*16:04-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.02904,856
 33  A*02:01-B*44:02-C*05:01-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.02604,856
 34  A*11:01-B*44:03-C*07:06-DRB1*04:03-DQB1*03:02  India UCBB_Central Indian HLA 0.02544,204
 35  A*02:01-B*44:03-C*07:01-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.02201,772
 36  A*24:02-B*44:03-C*07:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02012,492
 37  A*26:01-B*44:03-C*03:04-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02012,492
 38  A*32:01-B*44:02-C*05:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02012,492
 39  A*02:01-B*44:03-C*04:01-DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 40  A*11:01-B*44:03-C*04:01-DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 41  A*32:01-B*44:02-C*05:01-DRB1*04:03-DQB1*03:02  India UCBB_Central Indian HLA 0.01194,204
 42  A*32:01-B*44:02-C*15:02-DRB1*04:03-DQB1*03:02  India UCBB_Central Indian HLA 0.01194,204
 43  A*02:01-B*44:05-C*07:01-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 44  A*11:01-B*44:02-C*08:02-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 45  A*24:02-B*44:05-C*02:02-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 46  A*24:02-B*44:29-C*05:01-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 47  A*32:01-B*44:02-C*02:02-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 48  A*69:01-B*44:02-C*16:04-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 49  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.008823,595
 50  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.007623,595
 51  A*68:01-B*44:03-C*07:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.00682,492
 52  A*33:01-B*44:03-C*04:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.00672,492
 53  A*33:03-B*44:03-C*04:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.00672,492
 54  A*33:71-B*44:03-C*04:01-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.00672,492
 55  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002723,595
 56  A*24:02:01-B*44:03:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002423,595
 57  A*01:01:01-B*44:02:01-C*05:01:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002223,595
 58  A*01:01:01-B*44:03:01-C*16:01:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002123,595
 59  A*02:06:01-B*44:03:01-C*05:01:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002123,595
 60  A*26:01:01-B*44:27:01-C*07:04:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002023,595

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