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 600 (from 633) records   Pages: 1 2 3 4 5 6 7 of 7  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 501  A*03:01-B*53:01-C*04:01-DRB1*16:01-DQB1*05:02  USA Hispanic pop 2 0.01201,999
 502  A*23:01-B*53:01-C*04:01-DRB1*11:01-DQB1*06:02  USA Hispanic pop 2 0.01201,999
 503  A*23:01-B*53:01-C*04:01-DRB1*12:01-DQB1*03:01  USA Hispanic pop 2 0.01201,999
 504  A*23:01-B*53:01-C*04:01-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.01201,999
 505  A*23:01-B*53:01-C*04:01-DRB1*15:03-DQB1*06:02  USA Hispanic pop 2 0.01201,999
 506  A*24:03-B*53:01-C*04:01-DRB1*12:01-DQB1*03:01  USA Hispanic pop 2 0.01201,999
 507  A*24:03-B*53:01-C*04:01-DRB1*15:03-DQB1*06:02  USA Hispanic pop 2 0.01201,999
 508  A*24:05-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  USA Hispanic pop 2 0.01201,999
 509  A*24:05-B*53:01-C*04:01-DRB1*16:01-DQB1*05:02  USA Hispanic pop 2 0.01201,999
 510  A*29:02-B*53:01-C*04:01-DRB1*11:01-DQB1*06:02  USA Hispanic pop 2 0.01201,999
 511  A*29:02-B*53:01-C*04:01-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.01201,999
 512  A*36:01-B*53:01-C*04:01-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.01201,999
 513  A*36:01-B*53:01-C*04:01-DRB1*11:01-DQB1*06:02  USA Hispanic pop 2 0.01201,999
 514  A*01:01-B*53:01-C*04:01-DRB1*01:02-DQB1*03:01  India Central UCBB 0.01194,204
 515  A*03:01-B*53:01-C*04:01-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01194,204
 516  A*03:01-B*53:01-C*04:01-DRB1*13:01-DQB1*06:03  India Central UCBB 0.01194,204
 517  A*24:02-B*53:01-C*04:01-DRB1*14:06-DQB1*03:01  India Central UCBB 0.01194,204
 518  A*30:02-B*53:01-C*04:01-DRB1*13:01-DQB1*06:03  India Central UCBB 0.01194,204
 519  A*66:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04  India Central UCBB 0.01194,204
 520  A*01:01-B*53:01-C*04:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.01102,411
 521  A*01:01-B*53:01-C*04:01-DRB1*09:01-DQB1*02:01  USA African American pop 4 0.01102,411
 522  A*01:01-B*53:01-C*04:01-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.01101,772
 523  A*01:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  USA Asian pop 2 0.01101,772
 524  A*02:02-B*53:01-C*04:01-DRB1*08:06-DQB1*03:01  USA African American pop 4 0.01102,411
 525  A*02:02-B*53:01-C*04:01-DRB1*13:02-DQB1*05:01  USA African American pop 4 0.01102,411
 526  A*23:01-B*53:01-C*04:01-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.01102,411
 527  A*23:01-B*53:01-C*04:01-DRB1*14:01-DQB1*06:02  USA African American pop 4 0.01102,411
 528  A*26:01-B*53:01-C*04:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.01102,411
 529  A*26:01-B*53:01-C*04:01-DRB1*09:01-DQB1*02:01  USA African American pop 4 0.01102,411
 530  A*26:01-B*53:01-C*04:01-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.01101,772
 531  A*26:01-B*53:01-C*04:01-DRB1*14:06-DQB1*03:01  USA Asian pop 2 0.01101,772
 532  A*29:02-B*53:01-C*04:01-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.01102,411
 533  A*29:02-B*53:01-C*04:01-DRB1*14:01-DQB1*06:02  USA African American pop 4 0.01102,411
 534  A*30:02-B*53:01-C*04:01-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.01101,772
 535  A*30:02-B*53:01-C*04:01-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.01101,772
 536  A*30:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  USA Asian pop 2 0.01101,772
 537  A*30:02-B*53:01-C*04:01-DRB1*14:06-DQB1*03:01  USA Asian pop 2 0.01101,772
 538  A*66:01-B*53:01-C*04:01-DRB1*08:06-DQB1*03:01  USA African American pop 4 0.01102,411
 539  A*66:01-B*53:01-C*04:01-DRB1*13:02-DQB1*05:01  USA African American pop 4 0.01102,411
 540  A*68:02-B*53:01-C*04:01-DRB1*04:03-DQB1*03:05  Germany DKMS - Turkey minority 0.01104,856
 541  A*01:01-B*53:01-C*04:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 542  A*02:02-B*53:01-C*04:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 543  A*03:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.01004,856
 544  A*26:49-B*53:01-C*04:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 545  A*30:02-B*53:01-C*04:01-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 546  A*30:02-B*53:01-C*04:01-DRB1*13:02-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 547  A*33:03-B*53:01-C*04:01-DRB1*08:04-DQB1*04:02  Germany DKMS - Turkey minority 0.01004,856
 548  A*36:01-B*53:01-C*04:01-DRB1*04:02-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 549  A*68:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.01004,856
 550  A*68:01-B*53:01-C*04:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 551  A*68:02-B*53:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01004,856
 552  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.01004,856
 553  A*30:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  India North UCBB 0.00985,849
 554  A*68:02-B*53:01-C*04:01-DRB1*08:01  Poland DKMS 0.009620,653
 555  A*68:02:01-B*53:01:01-C*04:01:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.008923,595
 556  A*02:11-B*53:01-C*04:01-DRB1*14:54-DQB1*05:03  India South UCBB 0.008711,446
 557  A*30:02-B*53:01-C*04:01-DRB1*14:06-DQB1*03:01  India South UCBB 0.008711,446
 558  A*01:01-B*53:01-C*04:01-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 559  A*02:11-B*53:01-C*04:01-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 560  A*02:11-B*53:01-C*04:01-DRB1*15:01-DQB1*06:01  India West UCBB 0.00865,829
 561  A*11:01-B*53:01-C*04:01-DRB1*03:01-DQB1*02:01  India West UCBB 0.00865,829
 562  A*26:01-B*53:01-C*04:01-DRB1*11:01-DQB1*03:01  India West UCBB 0.00865,829
 563  A*30:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  India West UCBB 0.00865,829
 564  A*30:02-B*53:01-C*04:01-DRB1*15:01-DQB1*06:01  India West UCBB 0.00865,829
 565  A*31:01-B*53:01-C*04:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 566  A*30:02-B*53:01-C*04:01-DRB1*15:01-DQB1*05:02  India North UCBB 0.00855,849
 567  A*30:04:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.008523,595
 568  A*68:02:01-B*53:01:01-C*04:01:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.008523,595
 569  A*36:01-B*53:01-C*04:01-DRB1*11:01-DRB3*02:02-DQB1*06:02  USA NMDP Mexican or Chicano 0.0082261,235
 570  A*30:02-B*53:01-C*04:01-DRB1*13:01-DQB1*06:03  India North UCBB 0.00735,849
 571  A*68:02-B*53:01-C*04:01-DRB1*11:01  Poland DKMS 0.007320,653
 572  A*68:02:01-B*53:01:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.007023,595
 573  A*74:01-B*53:01-C*04:01-DRB1*13:03  Hong Kong Chinese BMDR 0.00667,595
 574  A*68:02:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*03:02:01  Poland BMR 0.006423,595
 575  A*02:01-B*53:01-C*04:01-DRB1*07:01  Poland DKMS 0.004820,653
 576  A*68:02-B*53:01-C*04:01-DRB1*04:03  Poland DKMS 0.004820,653
 577  A*33:03-B*53:01-C*04:01-DRB1*08:04-DRBX*NNNN-DQB1*03:01  USA NMDP Mexican or Chicano 0.0047261,235
 578  A*32:01-B*53:01-C*04:01-DRB1*13:02  Poland DKMS 0.004720,653
 579  A*02:01-B*53:01-C*04:01-DRB1*14:06-DQB1*03:01  India South UCBB 0.004411,446
 580  A*03:01-B*53:01-C*04:01-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 581  A*11:01-B*53:01-C*04:01-DRB1*14:04-DQB1*05:03  India South UCBB 0.004411,446
 582  A*11:01-B*53:01-C*04:01-DRB1*14:06-DQB1*03:01  India South UCBB 0.004411,446
 583  A*30:02-B*53:01-C*04:01-DRB1*04:04-DQB1*03:02  India South UCBB 0.004411,446
 584  A*24:02:01-B*53:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.004423,595
 585  A*30:01:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*03:01:01  Poland BMR 0.004223,595
 586  A*32:01:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.004223,595
 587  A*68:02:01-B*53:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.004223,595
 588  A*02:01:01-B*53:01:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.004223,595
 589  A*02:01-B*53:01-C*04:01-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.00332,492
 590  A*02:01-B*53:01-C*04:01-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.00332,492
 591  A*02:03-B*53:01-C*04:01-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.00332,492
 592  A*02:03-B*53:01-C*04:01-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.00332,492
 593  A*02:05-B*53:01-C*04:01-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.00332,492
 594  A*02:05-B*53:01-C*04:01-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.00332,492
 595  A*68:02-B*53:01-C*04:01-DRB1*15:01  Poland DKMS 0.002620,653
 596  A*02:01-B*53:01-C*04:01-DRB1*13:02  Poland DKMS 0.002520,653
 597  A*01:01-B*53:01-C*04:01-DRB1*08:04  Poland DKMS 0.002420,653
 598  A*02:01-B*53:01-C*04:01-DRB1*08:01  Poland DKMS 0.002420,653
 599  A*03:01-B*53:01-C*04:01-DRB1*01:02  Poland DKMS 0.002420,653
 600  A*03:01-B*53:01-C*04:01-DRB1*13:01  Poland DKMS 0.002420,653

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 633) records   Pages: 1 2 3 4 5 6 7 of 7  


   

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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