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 501 to 552 (from 552) records   Pages: 1 2 3 4 5 6 of 6  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 501  A*02:11-B*15:25-C*04:03-DRB1*12:02-DQB1*03:01  India South UCBB 0.004411,446
 502  A*02:11-B*15:25-C*07:26-DRB1*08:02-DQB1*04:02  India South UCBB 0.004411,446
 503  A*02:11-B*15:25-C*07:26-DRB1*14:07-DQB1*05:03  India South UCBB 0.004411,446
 504  A*02:11-B*15:25-C*07:26-DRB1*15:02-DQB1*05:03  India South UCBB 0.004411,446
 505  A*03:01-B*15:25-C*07:26-DRB1*14:04-DQB1*05:02  India South UCBB 0.004411,446
 506  A*03:01-B*15:25-C*07:26-DRB1*14:15-DQB1*05:03  India South UCBB 0.004411,446
 507  A*03:01-B*15:25-C*07:26-DRB1*15:01-DQB1*06:02  India South UCBB 0.004411,446
 508  A*03:02-B*15:25-C*04:03-DRB1*15:01-DQB1*06:02  India South UCBB 0.004411,446
 509  A*11:01-B*15:25-C*07:02-DRB1*14:54-DQB1*05:03  India South UCBB 0.004411,446
 510  A*11:01-B*15:25-C*07:26-DRB1*08:03-DQB1*03:01  India South UCBB 0.004411,446
 511  A*11:89-B*15:25-C*04:03-DRB1*15:01-DQB1*06:01  India South UCBB 0.004411,446
 512  A*11:89-B*15:25-C*15:02-DRB1*12:02-DQB1*03:01  India South UCBB 0.004411,446
 513  A*24:02-B*15:25-C*07:26-DRB1*03:01-DQB1*02:01  India South UCBB 0.004411,446
 514  A*24:02-B*15:25-C*07:26-DRB1*15:01-DQB1*05:03  India South UCBB 0.004411,446
 515  A*24:02-B*15:25-C*07:26-DRB1*15:04-DQB1*06:01  India South UCBB 0.004411,446
 516  A*24:07-B*15:25-C*07:26-DRB1*14:54-DQB1*05:02  India South UCBB 0.004411,446
 517  A*26:01-B*15:25-C*03:04-DRB1*15:02-DQB1*05:03  India South UCBB 0.004411,446
 518  A*30:01-B*15:25-C*04:03-DRB1*11:06-DQB1*03:01  India South UCBB 0.004411,446
 519  A*31:01-B*15:25-C*04:03-DRB1*12:02-DQB1*03:01  India South UCBB 0.004411,446
 520  A*33:03-B*15:25-C*04:03-DRB1*04:05-DQB1*04:02  India South UCBB 0.004411,446
 521  A*33:03-B*15:25-C*04:03-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 522  A*33:03-B*15:25-C*04:03-DRB1*14:54-DQB1*05:03  India South UCBB 0.004411,446
 523  A*33:03-B*15:25-C*06:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 524  A*33:03-B*15:25-C*07:26-DRB1*04:04-DQB1*03:02  India South UCBB 0.004411,446
 525  A*33:03-B*15:25-C*07:26-DRB1*04:04-DQB1*04:02  India South UCBB 0.004411,446
 526  A*33:03-B*15:25-C*07:26-DRB1*09:01-DQB1*03:03  India South UCBB 0.004411,446
 527  A*33:03-B*15:25-C*07:26-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 528  A*68:01-B*15:25-C*07:26-DRB1*01:01-DQB1*05:01  India South UCBB 0.004411,446
 529  A*24:02-B*15:25-C*04:03-DRB1*13:01  Hong Kong Chinese BMDR 0.00437,595
 530  A*31:01-B*15:25-C*07:26-DRB1*03:01-DQB1*02:01  India South UCBB 0.004311,446
 531  A*01:01-B*15:25-C*07:26-DRB1*04:04-DQB1*03:02  India South UCBB 0.004211,446
 532  A*02:01-B*15:25-C*07:26-DRB1*11:01-DQB1*03:01  India South UCBB 0.004211,446
 533  A*02:01-B*15:25-C*07:26-DRB1*14:04-DQB1*05:03  India South UCBB 0.004211,446
 534  A*24:02-B*15:25-C*04:01-DRB1*11:04  Hong Kong Chinese BMDR 0.00427,595
 535  A*26:01-B*15:25-C*07:26-DRB1*14:04-DQB1*05:03  India South UCBB 0.004211,446
 536  A*74:03-B*15:25-C*04:03-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00402,492
 537  A*02:01-B*15:25-C*04:03-DRB1*15:01-DQB1*05:02  India South UCBB 0.003911,446
 538  A*32:01-B*15:25-C*07:26-DRB1*08:02-DQB1*04:02  India South UCBB 0.003511,446
 539  A*11:01-B*15:25-C*04:03-DRB1*08:01  Hong Kong Chinese BMDR 0.00347,595
 540  A*02:06-B*15:25-C*07:02-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Southeast Asian 0.003427,978
 541  A*33:03-B*15:25-C*07:26-DRB1*04:05-DQB1*04:02  India South UCBB 0.002611,446
 542  B*15:25-C*04:03  China Hubei Han 0.00253,732
 543  A*02:07:01-B*15:25:01-C*04:03:01-DRB1*12:02:01-DQB1*05:02:01  Poland BMR 0.002123,595
 544  A*02:03-B*15:25  China Hubei Han 0.00113,732
 545  A*11:01-B*15:25-C*07:26-DRB1*13:01-DQB1*06:03  India North UCBB 0.00105,849
 546  A*11:01-B*15:25  China Hubei Han 0.00080003,732
 547  B*15:25-C*07:02  China Hubei Han 0.00070003,732
 548  A*02:06-B*15:25  China Hubei Han 0.00060003,732
 549  A*29:02-B*15:25-DRB1*15:01  Israel USSR Jews 0.000547045,681
 550  A*29:02-B*15:25-DRB1*15:02  Israel USSR Jews 0.000547045,681
 551  A*11:01-B*15:25-C*04:03-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP European Caucasian 0.00002071,242,890
 552  A*24:02-B*15:25-C*07:26-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.00001952,492

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 501 to 552 (from 552) records   Pages: 1 2 3 4 5 6 of 6  


   

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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