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 1,801 to 1,900 (from 5,642) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 57  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1,801  A*24:03-B*52:01-DRB1*07:01  Israel Iraq Jews 0.074513,270
 1,802  A*66:01-B*52:01-DRB1*11:04  Israel Poland Jews 0.074213,871
 1,803  A*31:01-B*52:01  USA Asian pop 2 0.07401,772
 1,804  A*68:01-B*52:01-C*12:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.07405,849
 1,805  A*33:03-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.073811,446
 1,806  A*26:01-B*52:01-DRB1*15:02  Israel USSR Jews 0.073445,681
 1,807  A*24:02-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.07332,492
 1,808  A*01:01-B*52:01-C*12:02-DRB1*11:01  Germany DKMS - Netherlands minority 0.07301,374
 1,809  A*02-B*52-DRB1*04  Brazil South East Cord Blood 0.073011,409
 1,810  A*11:01-B*52:01-C*12:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.07255,849
 1,811  A*33:01-B*52:01-DRB1*11:04  Israel Kavkazi Jews 0.07222,840
 1,812  A*02:02-B*52:01  USA African American pop 4 0.07202,411
 1,813  A*34:02-B*52:01  USA African American pop 4 0.07202,411
 1,814  A*01:01-B*52:01-DRB1*15:01  Israel Georgia Jews 0.07194,471
 1,815  A*11:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.07172,403
 1,816  A*26:01-B*52:01-DRB1*15:02  Israel Poland Jews 0.071613,871
 1,817  A*01:01-B*52:01-C*12:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.07134,204
 1,818  A*11:01-B*52:01-C*12:02-DRB1*04:04  Germany DKMS - France minority 0.07101,406
 1,819  A*32:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - France minority 0.07101,406
 1,820  A*33:03-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  India East UCBB 0.07092,403
 1,821  A*11:04-B*52:01-DRB1*15:02  Israel Ashkenazi Jews pop 3 0.07084,625
 1,822  A*03:02-B*52:01-DRB1*15:02  Israel Arab pop 2 0.070412,301
 1,823  A*02:11-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.07025,829
 1,824  A*01:01-B*52:01-C*08:01-DRB1*07:01-DQA1*06:01-DQB1*02:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 1,825  A*01:01-B*52:01-C*12:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*13:01  Sri Lanka Colombo 0.0700714
 1,826  A*01-B*52-DRB1*03  Iran pop 4 0.0700855
 1,827  A*01-B*52-DRB1*04  Iran pop 4 0.0700855
 1,828  A*01-B*52-DRB1*11  Iran pop 4 0.0700855
 1,829  A*01-B*52-DRB1*15  Iran pop 4 0.0700855
 1,830  A*02:01-B*52:01-C*06:02-DRB1*07:01-DQA1*05:01-DQB1*03:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 1,831  A*02:01-B*52:01-C*12:02-DRB1*04:01-DQA1*03:01-DQB1*03:01-DPB1*05:01  Sri Lanka Colombo 0.0700714
 1,832  A*02:01-B*52:01-C*12:02-DRB1*04:04-DQA1*01:03-DQB1*03:02-DPB1*13:01  Sri Lanka Colombo 0.0700714
 1,833  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 1,834  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQA1*06:01-DQB1*03:01-DPB1*26:01  Sri Lanka Colombo 0.0700714
 1,835  A*02:06-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 1,836  A*02:11-B*52:01-C*12:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 1,837  A*02:11-B*52:01-C*12:02-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*26:01  Sri Lanka Colombo 0.0700714
 1,838  A*02:11-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*02:02  Sri Lanka Colombo 0.0700714
 1,839  A*02-B*52-DRB1*01  Iran pop 4 0.0700855
 1,840  A*02-B*52-DRB1*03  Iran pop 4 0.0700855
 1,841  A*02-B*52-DRB1*14  Iran pop 4 0.0700855
 1,842  A*03:01-B*52:01-C*06:02-DRB1*07:01-DQA1*01:03-DQB1*03:03-DPB1*09:01  Sri Lanka Colombo 0.0700714
 1,843  A*03:01-B*52:01-C*12:02-DRB1*04:01-DQA1*03:01-DQB1*03:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 1,844  A*03:01-B*52:01-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*83:01  Sri Lanka Colombo 0.0700714
 1,845  A*03:01-B*52:01-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*28:01  Sri Lanka Colombo 0.0700714
 1,846  A*03:01-B*52:01-C*12:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 1,847  A*03:01-B*52:01-C*12:02-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*14:01  Sri Lanka Colombo 0.0700714
 1,848  A*03:01-B*52:01-C*12:145-DRB1*07:01-DQA1*01:03-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 1,849  A*03-B*52-DRB1*16  Iran pop 4 0.0700855
 1,850  A*11:01-B*52:01-C*07:02-DRB1*12:02-DQA1*01:02-DQB1*03:03-DPB1*13:01  Sri Lanka Colombo 0.0700714
 1,851  A*11:01-B*52:01-C*12:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 1,852  A*11:01-B*52:01-C*12:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*26:01  Sri Lanka Colombo 0.0700714
 1,853  A*11:01-B*52:01-C*12:02-DRB1*04:03-DQA1*03:01-DQB1*03:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 1,854  A*11:01-B*52:01-C*12:02-DRB1*07:01-DQA1*01:02-DQB1*06:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 1,855  A*11:01-B*52:01-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*03:01  Sri Lanka Colombo 0.0700714
 1,856  A*11:01-B*52:01-C*12:02-DRB1*09:01-DQA1*03:01-DQB1*03:02-DPB1*01:01  Sri Lanka Colombo 0.0700714
 1,857  A*11:01-B*52:01-C*12:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*14:01  Sri Lanka Colombo 0.0700714
 1,858  A*11:01-B*52:01-C*12:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*26:01  Sri Lanka Colombo 0.0700714
 1,859  A*11:01-B*52:01-C*12:02-DRB1*14:04-DQA1*03:01-DQB1*03:02-DPB1*01:01  Sri Lanka Colombo 0.0700714
 1,860  A*11:01-B*52:01-C*12:02-DRB1*14:15-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 1,861  A*11:01-B*52:01-C*12:02-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*26:01  Sri Lanka Colombo 0.0700714
 1,862  A*11:01-B*52:01-C*12:02-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*28:01  Sri Lanka Colombo 0.0700714
 1,863  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*05:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 1,864  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*26:01  Sri Lanka Colombo 0.0700714
 1,865  A*11:01-B*52:06-C*16:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 1,866  A*11-B*52-DRB1*03  Iran pop 4 0.0700855
 1,867  A*23:01-B*52:01-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  Sri Lanka Colombo 0.0700714
 1,868  A*24:02-B*52:01-C*12:02-DRB1*01:01-DQA1*03:01-DQB1*03:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 1,869  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*01:01  Sri Lanka Colombo 0.0700714
 1,870  A*24:02-B*52:01-C*12:02-DRB1*13:02-DQA1*03:01-DQB1*03:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 1,871  A*24:02-B*52:01-C*12:02-DRB1*15:01-DQA1*01:01-DQB1*05:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 1,872  A*24:02-B*52:01-C*12:03-DRB1*11:01-DQA1*01:02-DQB1*03:01-DPB1*09:01  Sri Lanka Colombo 0.0700714
 1,873  A*24:02-B*52:01-C*16:02-DRB1*04:06-DQA1*03:01-DQB1*04:02-DPB1*19:01  Sri Lanka Colombo 0.0700714
 1,874  A*24:07-B*52:01-C*12:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*26:01  Sri Lanka Colombo 0.0700714
 1,875  A*24-B*52-DRB1*13  Iran pop 4 0.0700855
 1,876  A*26:01-B*52:01-C*12:02-DRB1*11:01-DQA1*05:01-DQB1*03:05-DPB1*04:01  Sri Lanka Colombo 0.0700714
 1,877  A*26:01-B*52:01-C*12:02-DRB1*12:02-DQA1*06:01-DQB1*05:03-DPB1*13:01  Sri Lanka Colombo 0.0700714
 1,878  A*26:01-B*52:01-C*12:02-DRB1*15:02-DQA1*05:01-DQB1*03:05-DPB1*04:01  Sri Lanka Colombo 0.0700714
 1,879  A*31:01-B*52:01-C*14:02-DRB1*11:06-DQA1*05:01-DQB1*03:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 1,880  A*32:01-B*52:01-C*05:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 1,881  A*32-B*52-DRB1*04  Iran pop 4 0.0700855
 1,882  A*33:03-B*52:01-C*12:02-DRB1*04:03-DQA1*01:03-DQB1*06:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 1,883  A*33:03-B*52:01-C*12:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 1,884  A*33:03-B*52:01-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*13:01  Sri Lanka Colombo 0.0700714
 1,885  A*33:03-B*52:01-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*28:01  Sri Lanka Colombo 0.0700714
 1,886  A*33:03-B*52:01-C*12:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 1,887  A*33:03-B*52:01-C*12:02-DRB1*15:01-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 1,888  A*68:01-B*52:01-C*07:02-DRB1*08:10-DQA1*06:01-DQB1*03:01-DPB1*14:01  Sri Lanka Colombo 0.0700714
 1,889  A*68:01-B*52:01-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 1,890  A*02-B*52-DRB1*11  Italy Lombardy 0.0700674
 1,891  A*02-B*52-DRB1*13  Italy Lombardy 0.0700674
 1,892  A*11-B*52-DRB1*09  Italy Lombardy 0.0700674
 1,893  A*24:02-B*52:01-C*12:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 1,894  A*24:02-B*52:01-C*12:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 1,895  A*24:02-B*52:01-C*12:02-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 1,896  A*24:02-B*52:01-C*12:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*09:01  Japan pop 17 0.07003,078
 1,897  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.07003,078
 1,898  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*05:01  Japan pop 17 0.07003,078
 1,899  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*14:01  Japan pop 17 0.07003,078
 1,900  A*25-B*52-DRB1*11  Italy Lombardy 0.0700674

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).


Displaying 1,801 to 1,900 (from 5,642) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 57  


   

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