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 704) records   Pages: 1 2 3 4 5 6 7 8 of 8  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 501  A*01:03-B*51:01-DRB1*07:01  Israel Ethiopia Jews 0.00865,928
 502  A*01:01-B*51:01-C*15:02-DRB1*07:01-DQB1*03:03  India North UCBB 0.00855,849
 503  A*02:11-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 504  A*03:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:110  India North UCBB 0.00855,849
 505  A*03:02-B*51:01-C*04:01-DRB1*07:01-DQB1*03:03  India North UCBB 0.00855,849
 506  A*03:02-B*51:01-C*15:02-DRB1*07:01-DQB1*02:110  India North UCBB 0.00855,849
 507  A*24:02-B*51:01-C*16:02-DRB1*07:01-DQB1*03:03  India North UCBB 0.00855,849
 508  A*26:01-B*51:01-C*16:02-DRB1*07:01-DQB1*03:03  India North UCBB 0.00855,849
 509  A*30:01-B*51:01-C*04:01-DRB1*07:01-DQB1*03:03  India North UCBB 0.00855,849
 510  A*68:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 511  A*11:01-B*51:01-C*04:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.008411,446
 512  A*69:01-B*51:01-DRB1*07:01  Israel USA Jews 0.00846,058
 513  A*31:01-B*51:01-DRB1*07:01  Israel Arab pop 2 0.008312,301
 514  A*11:01-B*51:01-DRB1*07:01  Israel USA Jews 0.00806,058
 515  A*11:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.008011,446
 516  A*03:01:01-B*51:01:01-C*15:02:01-DRB1*07:01:01-DPB1*26:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00795,266
 517  A*26:01-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  India North UCBB 0.00795,849
 518  A*68:01-B*51:01-C*14:02-DRB1*07:01  Poland DKMS 0.007920,653
 519  A*02:01-B*51:01-C*02:02-DRB1*07:01  Poland DKMS 0.007820,653
 520  A*11:02-B*51:01-DRB1*07:01  Hong Kong Chinese cord blood registry 0.00773,892
 521  A*33:03-B*51:01-C*15:02-DRB1*07:01  Hong Kong Chinese BMDR 0.00767,595
 522  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.007523,595
 523  A*01:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.007411,446
 524  A*01:01-B*51:01-C*06:02-DRB1*07:01  Poland DKMS 0.007320,653
 525  A*30:01-B*51:01-DRB1*07:01  Israel Tunisia Jews 0.00729,070
 526  A*26:01-B*51:01-C*03:03-DRB1*07:01  Poland DKMS 0.007220,653
 527  A*31:01-B*51:01-C*01:02-DRB1*07:01  Poland DKMS 0.007220,653
 528  A*03:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.007011,446
 529  A*26:01-B*51:01-DRB1*07:01  Israel USA Jews 0.00706,058
 530  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.006923,595
 531  A*01:01-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  India West UCBB 0.00695,829
 532  A*03:02-B*51:01-DRB1*07:01  Israel USSR Jews 0.006845,681
 533  A*03:01:01-B*51:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.006723,595
 534  A*01:01-B*51:01-C*15:04-DRB1*07:01  Hong Kong Chinese BMDR 0.00667,595
 535  A*03:01-B*51:01-C*15:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.006611,446
 536  A*02:01:01-B*51:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.006523,595
 537  A*01:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.006311,446
 538  A*03:01:01-B*51:01:01-C*15:04:01-DRB1*07:01:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00635,266
 539  A*11:01-B*51:01-C*05:01-DRB1*07:01  Poland DKMS 0.006320,653
 540  A*26:01-B*51:01-DRB1*07:01  Israel Iran Jews 0.00628,153
 541  A*31:01-B*51:01-DRB1*07:01  Israel Tunisia Jews 0.00619,070
 542  A*68:02-B*51:01-DRB1*07:01  Israel Poland Jews 0.006113,871
 543  A*31:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.005911,446
 544  A*02:02-B*51:01-DRB1*07:01  Israel Morocco Jews 0.005836,718
 545  A*25:01-B*51:01-DRB1*07:01  Israel USSR Jews 0.005845,681
 546  A*01:01-B*51:01-DRB1*07:01  Israel USSR Jews 0.005545,681
 547  A*01:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.005511,446
 548  A*02:06-B*51:01-C*15:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.005511,446
 549  A*03:01-B*51:01-C*15:02-DRB1*07:01  Hong Kong Chinese BMDR 0.00557,595
 550  A*02:11-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.005411,446
 551  A*02:11-B*51:01-C*16:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.005411,446
 552  A*24:02-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.005411,446
 553  A*26:01-B*51:01-C*01:02-DRB1*07:01  Poland DKMS 0.005420,653
 554  A*03:02-B*51:01-DRB1*07:01  Israel Iran Jews 0.00548,153
 555  A*23:01-B*51:01-DRB1*07:01  Israel Arab pop 2 0.005212,301
 556  A*02:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.005211,446
 557  A*02:01-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.005211,446
 558  A*02:06-B*51:01-C*14:02-DRB1*07:01  Hong Kong Chinese BMDR 0.00517,595
 559  A*33:03-B*51:01-C*07:02-DRB1*07:01  Hong Kong Chinese BMDR 0.00517,595
 560  A*24:02:01-B*51:01:01-C*01:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.005123,595
 561  A*32:01-B*51:01-DRB1*07:01  Israel Tunisia Jews 0.00509,070
 562  A*01:01-B*51:01-C*16:02-DRB1*07:01-DQB1*03:30  India Tamil Nadu 0.00502,492
 563  A*02:11-B*51:01-C*16:02-DRB1*07:01-DQB1*03:30  India Tamil Nadu 0.00502,492
 564  A*01:01-B*51:01-C*03:03-DRB1*07:01  Japan pop 16 0.005018,604
 565  A*11:01-B*51:01-C*07:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.005011,446
 566  A*26:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.005011,446
 567  A*01:01-B*51:01-C*16:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.00492,492
 568  A*32:01:01-B*51:01:01-C*01:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004923,595
 569  A*24:04-B*51:01-DRB1*07:01  Israel Morocco Jews 0.004936,718
 570  A*02:17-B*51:01-C*14:02-DRB1*07:01  Poland DKMS 0.004820,653
 571  A*03:01-B*51:01-C*04:01-DRB1*07:01  Poland DKMS 0.004720,653
 572  A*26:01-B*51:01-C*12:03-DRB1*07:01  Poland DKMS 0.004720,653
 573  A*30:02-B*51:01-DRB1*07:01  Israel USA Jews 0.00466,058
 574  A*26:01-B*51:01-DRB1*07:01  Israel Tunisia Jews 0.00459,070
 575  A*03:01:01-B*51:01:01-C*01:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.004523,595
 576  A*02:06-B*51:01-C*15:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.004511,446
 577  A*03:01-B*51:01-C*07:04-DRB1*07:01-DQB1*03:03  India South UCBB 0.004511,446
 578  A*11:01-B*51:01-C*07:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.004511,446
 579  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004523,595
 580  A*01:01-B*51:01-C*03:03-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 581  A*02:01-B*51:01-C*07:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.004411,446
 582  A*02:01-B*51:01-C*16:02-DRB1*07:01-DQB1*03:02  India South UCBB 0.004411,446
 583  A*02:11-B*51:01-C*07:04-DRB1*07:01-DQB1*03:03  India South UCBB 0.004411,446
 584  A*02:131-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 585  A*02:131-B*51:01-C*15:04-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 586  A*03:02-B*51:01-C*15:04-DRB1*07:01-DQB1*03:03  India South UCBB 0.004411,446
 587  A*24:02-B*51:01-C*07:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 588  A*30:01-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.004411,446
 589  A*30:02-B*51:01-C*15:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.004411,446
 590  A*33:03-B*51:01-C*07:04-DRB1*07:01-DQB1*03:03  India South UCBB 0.004411,446
 591  A*33:03-B*51:01-C*07:06-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 592  A*68:01-B*51:01-C*15:04-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 593  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004423,595
 594  A*11:01:01-B*51:01:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004423,595
 595  A*03:01:01-B*51:01:01-C*12:03:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.004323,595
 596  A*02:11-B*51:01-C*14:02-DRB1*07:01-DQB1*03:02  India South UCBB 0.004311,446
 597  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.004323,595
 598  A*26:01:01-B*51:01:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004223,595
 599  A*11:01:01-B*51:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004223,595
 600  A*32:01:01-B*51:01:01-C*01:02:01-DRB1*07:01:01-DQB1*03:01:01  Poland BMR 0.004223,595

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 501 to 600 (from 704) records   Pages: 1 2 3 4 5 6 7 8 of 8  


   

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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