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 49 (from 49) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*68:01:01-B*27:07:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  India Karnataka Kannada Speaking 0.2870174
 2  A*24:02-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.20205,849
 3  A*02:01-B*27:07-C*15:02-DRB1*11:01-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 4  A*24:02-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.18304,204
 5  A*33:03-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  India Northeast UCBB 0.1689296
 6  A*03:01-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  Italy pop 5 0.1400975
 7  A*29:01:01-B*27:07:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 8  A*24:02-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.11605,829
 9  A*03:01-B*27:07-C*15:02-DRB1*11:01  Germany DKMS - Bosnia and Herzegovina minority 0.09701,028
 10  A*24:02-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.08601,159
 11  A*24:02-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.08004,856
 12  A*11:01-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.06945,849
 13  A*02:01-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.06855,849
 14  A*24:02-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 15  A*24:02-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.06642,403
 16  A*68:01-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.05545,829
 17  A*24:02-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.055111,446
 18  A*68:01-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.04764,204
 19  A*29:01-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 20  A*03:01-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 21  A*24:02-B*27:07-C*15:02-DRB1*11:01  Germany DKMS - Portugal minority 0.04301,176
 22  A*03:01-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.04162,403
 23  A*68:01-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.04012,492
 24  A*03:01-B*27:07-C*15:02-DRB1*11:01  Germany DKMS - China minority 0.03901,282
 25  A*33:03-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.03762,403
 26  A*24:02-B*27:07-C*15:02-DRB1*11:01  Germany DKMS - Netherlands minority 0.03601,374
 27  A*33:03-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.03574,204
 28  A*02:01-B*27:07-C*15:02-DRB1*11:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 29  A*24:02:01-B*27:07:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 30  A*24:02-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.02012,492
 31  A*02:01-B*27:07-C*15:02-DRB1*11:01  Hong Kong Chinese BMDR 0.01977,595
 32  A*29:01-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.013111,446
 33  A*31:01-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.013111,446
 34  A*33:03-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.01265,849
 35  A*68:01-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.012111,446
 36  A*03:01-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01194,204
 37  A*01:01-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.01005,829
 38  A*01:01-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.00915,849
 39  A*23:01-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.00905,849
 40  A*33:03-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.008811,446
 41  A*02:11-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.00865,829
 42  A*68:01-B*27:07-C*15:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.00855,849
 43  A*24:02-B*27:07-C*15:02-DRB1*11:01  Poland DKMS 0.007220,653
 44  A*24:02-B*27:07-C*15:02-DRB1*11:01  Hong Kong Chinese BMDR 0.00667,595
 45  A*32:01-B*27:07-C*15:02-DRB1*11:01  Hong Kong Chinese BMDR 0.00667,595
 46  A*03:01-B*27:07-C*15:02-DRB1*11:01  Hong Kong Chinese BMDR 0.00617,595
 47  A*24:02:01-B*27:07:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.004223,595
 48  A*23:01-B*27:07-C*15:02-DRB1*11:01  Poland DKMS 0.002420,653
 49  A*23:01:01-B*27:07:01-C*15:02:01-DRB1*11:01:01-DQB1*06:02:01  Poland BMR 0.002123,595

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