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 501 to 600 (from 4,129) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 42  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 501  A*01:01:01-B*15:02:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 502  A*01:01:01-B*15:17:01-C*03:02:02-DRB1*03:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 503  A*01:01:01-B*35:01:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 504  A*01:01:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 505  A*02:01:01-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 506  A*02:01:01-B*58:01:01-C*03:02:02-DRB1*04:02:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 507  A*03:01:01-B*07:05:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 508  A*03:01:01-B*40:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 509  A*11:01:01-B*07:02:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 510  A*26:01:01-B*13:01:01-C*04:03:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 511  A*31:01:02-B*13:02:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 512  A*31:01:02-B*55:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 513  A*32:01:01-B*52:01:01-C*12:02:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 514  A*68:01:02-B*07:05:01-C*07:02:01-DRB1*15:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 515  A*68:01:02-B*40:06:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 516  A*68:01:02-B*49:01:01-C*12:03:01-DRB1*15:02:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 517  A*68:01:02-B*51:01:01-C*03:03:01-DRB1*07:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 518  A*24:02-B*55:01-C*01:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.28662,403
 519  A*03:01-B*07:02-C*07:02-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.28641,075
 520  A*03:01-B*07:02-C*07:02-DRB1*13:01-DQB1*06:03  USA NMDP Caribean Indian 0.286414,339
 521  A*24-B*38-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.2838641
 522  DQB1*06:03-DPB1*09:01:01  China Inner Mongolia Autonomous Region Northeast 0.2830496
 523  A*02:01:01:01-B*15:01:01:01-C*03:04:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2824192
 524  A*02:11:01-B*51:01:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.2810356
 525  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.2810356
 526  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.2810356
 527  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQB1*06:03  USA NMDP Black South or Central American 0.28094,889
 528  A*03:01-B*55:01-C*01:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:01  Sri Lanka Colombo 0.2801714
 529  A*24:02-B*55:01-C*01:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:01  Sri Lanka Colombo 0.2801714
 530  A*33:03-B*44:03-C*07:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:01  Sri Lanka Colombo 0.2801714
 531  A*02:01:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.27801,510
 532  A*01-B*35-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.2779641
 533  DRB1*13:01:01-DQB1*06:03-DPB1*09:01:01  China Inner Mongolia Autonomous Region Northeast 0.2770496
 534  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.27231,075
 535  A*01:01:01-B*35:03:01-C*06:02:01-DRB1*15:02:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 536  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 537  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*14:04:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 538  A*02:09-B*35:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 539  A*02:11:01-B*35:03:01-C*04:01:01-DRB1*15:02:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 540  A*11:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 541  A*11:01:01-B*44:03:02-C*07:06-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 542  A*24:02:01-B*15:08:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 543  A*24:02:01-B*18:01:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 544  A*24:02:01-B*37:01:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 545  A*24:02:01-B*40:01:02-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 546  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 547  A*30:02:01-B*55:01:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 548  A*31:01:02-B*18:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 549  A*31:01:02-B*40:01:02-C*03:04:01-DRB1*10:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 550  A*31:01:02-B*40:02:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 551  A*32:01:01-B*48:04:01-C*04:01:01-DRB1*04:05:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 552  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*04:08:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 553  A*68:01:01-B*35:03:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 554  A*68:01:02-B*51:01:01-C*16:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 555  A*24:02-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.26291,463
 556  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.26141,463
 557  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 558  A*01:01:01:01-B*14:02:01-C*08:02:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 559  A*01:01:01:01-B*35:02:01-C*06:02:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 560  A*01:01:01:01-B*52:01:01-C*12:02:02-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 561  A*02:01:01:01-B*15:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 562  A*02:01:01:01-B*51:01:01-C*06:02:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 563  A*02:06:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 564  A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 565  A*24:02:01:01-B*46:01:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 566  A*24:02:01:01-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 567  A*25:01:01-B*35:01:01:02-C*12:03:01:01-DRB1*08:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 568  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 569  A*32:01:01-B*40:02:01-C*02:02:02:01-DRB1*09:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 570  A*69:01-B*18:01:01-C*06:02:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 571  A*01:01-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:03-DPB1*03:01  USA San Diego 0.2600496
 572  A*01:01-B*55:01-C*03:03-DRB1*13:01-DQA1*03:01-DQB1*06:03-DPB1*04:01  USA San Diego 0.2600496
 573  A*01:01-B*57:01-C*06:02-DRB1*13:01-DQA1*02:01-DQB1*06:03-DPB1*13:01  USA San Diego 0.2600496
 574  A*02:01-B*39:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  USA San Diego 0.2600496
 575  A*02:01-B*44:02-C*05:01-DRB1*07:01-DQA1*01:03-DQB1*06:03-DPB1*04:01  USA San Diego 0.2600496
 576  A*02:06-B*15:17-C*07:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:01  USA San Diego 0.2600496
 577  A*03:01-B*13:02-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:01  USA San Diego 0.2600496
 578  A*11:01-B*15:01-C*03:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*20:01  USA San Diego 0.2600496
 579  A*11:01-B*35:03-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  USA San Diego 0.2600496
 580  A*11:01-B*40:02-C*02:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*13:01  USA San Diego 0.2600496
 581  A*24:02-B*15:01-C*03:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  USA San Diego 0.2600496
 582  A*25:01-B*18:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*01:01  USA San Diego 0.2600496
 583  A*30:01-B*15:01-C*03:03-DRB1*07:01-DQA1*01:03-DQB1*06:03-DPB1*03:01  USA San Diego 0.2600496
 584  A*68:01-B*15:18-C*03:04-DRB1*13:01-DQA1*05:01-DQB1*06:03-DPB1*02:01  USA San Diego 0.2600496
 585  A*68:01-B*51:01-C*02:02-DRB1*14:01-DQA1*01:03-DQB1*06:03-DPB1*13:01  USA San Diego 0.2600496
 586  A*24-B*35-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.2594641
 587  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  USA NMDP Caribean Indian 0.258914,339
 588  A*24-B*51-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.2542641
 589  A*25:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.25261,075
 590  DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 0.2450833
 591  A*32:01-B*40:02-C*02:02-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.23921,463
 592  A*24:02-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.23904,335
 593  A*30:01:01-B*15:01:01:01-C*03:04:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2384192
 594  A*25:01:01-B*18:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.23741,510
 595  A*31:01-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.235611,446
 596  A*03-B*38-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Paraná Caucasian 0.2340641
 597  A*29:02-B*51:01-C*15:02-DRB1*13:01-DQB1*06:03  USA NMDP Caribean Indian 0.233714,339
 598  A*02:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.23051,510
 599  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 600  A*01:01:01-B*39:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215

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 600 (from 4,129) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 42  


   

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