Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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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 301 to 348 (from 348) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.006023,595
 302  A*24:07-B*07:06-C*07:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.00595,829
 303  A*02:131-B*07:06-C*07:02-DRB1*11:04-DQB1*03:01  India South UCBB 0.005611,446
 304  A*68:01:01-B*07:02:01-C*07:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.005423,595
 305  A*68-B*07-C*07-DRB1*11-DQA1*05-DQB1*03  Spain, Castilla y Leon, Northwest, 0.00531,743
 306  A*02:01:01-B*07:05:01-C*15:05:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.005323,595
 307  A*03:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.004811,446
 308  A*01:01-B*07:02-C*07:02-DRB1*11:29-DQB1*03:01  India South UCBB 0.004411,446
 309  A*02:03-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 310  A*02:06-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01  India South UCBB 0.004411,446
 311  A*02:11-B*07:06-C*07:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 312  A*03:01-B*07:02-C*07:02-DRB1*11:08-DQB1*03:01  India South UCBB 0.004411,446
 313  A*24:02-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01  India South UCBB 0.004411,446
 314  A*24:02-B*07:06-C*01:02-DRB1*11:06-DQB1*03:01  India South UCBB 0.004411,446
 315  A*26:01-B*07:02-C*07:02-DRB1*11:04-DQB1*03:01  India South UCBB 0.004411,446
 316  A*29:01-B*07:05-C*15:05-DRB1*11:04-DQB1*03:01  India South UCBB 0.004411,446
 317  A*68:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 318  A*68:01-B*07:06-C*07:02-DRB1*11:06-DQB1*03:01  India South UCBB 0.004411,446
 319  A*01:01:01-B*07:02:01-C*07:262-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.004223,595
 320  A*01:01:01-B*07:05:01-C*15:05:02-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.004223,595
 321  A*02:01:01-B*07:04-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.004223,595
 322  A*11:01:79-B*07:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.003723,595
 323  A*02:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.003211,446
 324  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002823,595
 325  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.002723,595
 326  A*29:02:01-B*07:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002623,595
 327  A*24:02:01-B*07:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002423,595
 328  A*23:01:01-B*07:02:01-C*07:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.002223,595
 329  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 330  A*24:02:01-B*07:05:01-C*15:05:02-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.002123,595
 331  A*01:01:01-B*07:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 332  A*02:01:01-B*07:02:01-C*03:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 333  A*11:01:01-B*07:05:01-C*15:05:02-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.002123,595
 334  A*23:01:01-B*07:02:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.002123,595
 335  A*29:02:01-B*07:02:01-C*07:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.002123,595
 336  A*31:01:02-B*07:02:01-C*17:01:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 337  A*68:01:01-B*07:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 338  A*03:01:01-B*07:14-C*07:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.002123,595
 339  A*02:11-B*07:06-C*07:02-DRB1*11:66-DQB1*03:01  India South UCBB 0.001911,446
 340  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.001923,595
 341  A*25:01:01-B*07:05:01-C*15:05:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.001823,595
 342  A*11:01:01-B*07:02:01-C*07:02:10-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.001723,595
 343  A*01:01:01-B*07:05:01-C*15:05:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.001423,595
 344  A*02:01:01-B*07:09-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.001123,595
 345  A*68:01:02-B*07:04-C*07:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.001123,595
 346  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.000940723,595
 347  A*02:01:01-B*07:02:01-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.000468523,595
 348  A*25:01:01-B*07:04-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.000256123,595

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).


Displaying 301 to 348 (from 348) records   Pages: 1 2 3 4 of 4  


   

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.

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