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 61 (from 61) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:17:02-B*51:01:01-C*15:02:01:01-DRB1*12:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 2  A*31:01-B*51:01-C*15:02-DRB1*12:01  Germany DKMS - France minority 0.14201,406
 3  A*02:01-B*51:01-C*15:02-DRB1*12:01-DQB1*03:01  Italy pop 5 0.1400975
 4  A*02:01-B*51:01-C*15:02-DRB1*12:01  Germany DKMS - United Kingdom minority 0.12501,043
 5  A*32:01-B*51:01-C*15:02-DRB1*12:01  Italy pop 5 0.1000975
 6  A*68:01-B*51:01-C*15:02-DRB1*12:01  Italy pop 5 0.1000975
 7  A*02:01-B*51:01-C*15:02-DRB1*12:01  Germany DKMS - Spain minority 0.09901,107
 8  A*02:01-B*51:01-C*15:02-DRB1*12:01  Germany DKMS - Greece minority 0.08901,894
 9  A*02:17-B*51:01-C*15:02-DRB1*12:01  Germany DKMS - Romania minority 0.08101,234
 10  A*24:02-B*51:01-C*15:02-DRB1*12:01  Germany DKMS - Spain minority 0.08101,107
 11  A*32:01-B*51:01-C*15:02-DRB1*12:01  Germany DKMS - Austria minority 0.05901,698
 12  A*02:01-B*51:01-C*15:02-DRB1*12:01  Germany DKMS - Croatia minority 0.05702,057
 13  A*03:01-B*51:01-C*15:02-DRB1*12:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.05651,075
 14  A*25:01-B*51:01-C*15:02-DRB1*12:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.05571,075
 15  A*31:01-B*51:01-C*15:02-DRB1*12:01  Germany DKMS - Greece minority 0.05301,894
 16  A*03:01-B*51:01-C*15:02-DRB1*12:01  Germany DKMS - United Kingdom minority 0.04801,043
 17  A*24:02-B*51:01-C*15:02-DRB1*12:01  Japan pop 16 0.042018,604
 18  A*31:01-B*51:01-C*15:02-DRB1*12:01  Germany DKMS - Romania minority 0.04101,234
 19  A*02:01-B*51:01-C*15:02-DRB1*12:01  Poland DKMS 0.037920,653
 20  A*26:01-B*51:01-C*15:02-DRB1*12:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 21  A*02:17:02-B*51:01:01-C*15:02:01:01-DRB1*12:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 22  A*24:02:01:01-B*51:01:01-C*15:02:01-DRB1*12:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 23  A*24:02-B*51:01-C*15:02-DRB1*12:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 24  A*68:01-B*51:01-C*15:02-DRB1*12:01  Germany DKMS - Austria minority 0.02901,698
 25  A*68:01-B*51:01-C*15:02-DRB1*12:01  Germany DKMS - Greece minority 0.02601,894
 26  A*02:01-B*51:01-C*15:02-DRB1*12:01-DQB1*03:01  USA Asian pop 2 0.02501,772
 27  A*68:01-B*51:01-C*15:02-DRB1*12:01  Germany DKMS - Croatia minority 0.02402,057
 28  A*01:01-B*51:01-C*15:02-DRB1*12:01-DQB1*03:01  Germany DKMS - Turkey minority 0.02304,856
 29  A*02:17-B*51:01-C*15:02-DRB1*12:01-DQB1*03:01  Germany DKMS - Turkey minority 0.02104,856
 30  A*03:01-B*51:01-C*15:02-DRB1*12:01-DQB1*03:01  India East UCBB 0.02082,403
 31  A*31:01-B*51:01-C*15:02-DRB1*12:01-DQB1*03:01  India Tamil Nadu 0.02012,492
 32  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.016723,595
 33  A*68:01-B*51:01-C*15:02-DRB1*12:01  Poland DKMS 0.014020,653
 34  A*11:01-B*51:01-C*15:02-DRB1*12:01  Hong Kong Chinese BMDR 0.01327,595
 35  A*31:01-B*51:01-C*15:02-DRB1*12:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01304,856
 36  A*24:02-B*51:01-C*15:02-DRB1*12:01-DQB1*03:01  India Central UCBB 0.01194,204
 37  A*02:01-B*51:01-C*15:02-DRB1*12:01  Japan pop 16 0.010018,604
 38  A*02:06-B*51:01-C*15:02-DRB1*12:01  Japan pop 16 0.010018,604
 39  A*03:02-B*51:01-C*15:02-DRB1*12:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 40  A*25:01-B*51:01-C*15:02-DRB1*12:01  Poland DKMS 0.009720,653
 41  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.009523,595
 42  A*03:02-B*51:01-C*15:02-DRB1*12:01-DQB1*03:01  India West UCBB 0.00865,829
 43  A*02:11-B*51:01-C*15:02-DRB1*12:01-DQB1*03:01  India North UCBB 0.00855,849
 44  A*03:02-B*51:01-C*15:02-DRB1*12:01-DQB1*03:01  India North UCBB 0.00855,849
 45  A*32:01-B*51:01-C*15:02-DRB1*12:01-DQB1*03:01  India North UCBB 0.00855,849
 46  A*31:01-B*51:01-C*15:02-DRB1*12:01  Poland DKMS 0.007420,653
 47  A*03:01-B*51:01-C*15:02-DRB1*12:01  Poland DKMS 0.006420,653
 48  A*25:01:01-B*51:01:01-C*15:02:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.006223,595
 49  A*11:01-B*51:01-C*15:02-DRB1*12:01  Japan pop 16 0.005018,604
 50  A*31:01-B*51:01-C*15:02-DRB1*12:01  Japan pop 16 0.005018,604
 51  A*02:11-B*51:01-C*15:02-DRB1*12:01-DQB1*03:01  India South UCBB 0.004511,446
 52  A*02:131-B*51:01-C*15:02-DRB1*12:01-DQB1*03:01  India South UCBB 0.004211,446
 53  A*32:01-B*51:01-C*15:02-DRB1*12:01  Poland DKMS 0.003620,653
 54  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.002523,595
 55  A*29:02-B*51:01-C*15:02-DRB1*12:01  Poland DKMS 0.002420,653
 56  A*02:17:02-B*51:01:01-C*15:02:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 57  A*11:01:01-B*51:01:01-C*15:02:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 58  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 59  A*24:03:01-B*51:01:01-C*15:02:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.001723,595
 60  A*11:01-B*51:01-C*15:02-DRB1*12:01  Poland DKMS 0.001520,653
 61  A*32:01:01-B*51:01:01-C*15:02:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.000514123,595

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