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

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 501  A*24:02-B*38:02-C*07:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01024,204
 502  A*24:02-B*38:02-C*07:02-DRB1*11:01  Hong Kong Chinese BMDR 0.01027,595
 503  A*02:03-B*38:02-C*07:02-DRB1*04:03-DQB1*03:01  India Tamil Nadu 0.01002,492
 504  A*02:03-B*38:02-C*07:02-DRB1*10:01-DQB1*05:03  India Tamil Nadu 0.01002,492
 505  A*02:11-B*38:02-C*07:02-DRB1*14:04-DQB1*05:01  India Tamil Nadu 0.01002,492
 506  A*02:11-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India Tamil Nadu 0.01002,492
 507  A*11:01-B*38:02-C*07:02-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.01002,492
 508  A*11:01-B*38:02-C*07:02-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.01002,492
 509  A*24:02-B*38:02-C*07:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.01002,492
 510  A*24:02-B*38:02-C*07:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.01002,492
 511  A*01:01-B*38:02-C*07:02-DRB1*04:06-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 512  A*02:01-B*38:02-C*07:02-DRB1*09:01  Japan pop 16 0.010018,604
 513  A*02:03-B*38:02-C*07:02-DRB1*15:01  Japan pop 16 0.010018,604
 514  A*02:03-B*38:02-C*07:02-DRB1*16:02  Japan pop 16 0.010018,604
 515  A*02:06-B*38:02-C*07:02-DRB1*08:03  Japan pop 16 0.010018,604
 516  A*02:07:01-B*38:02:01-C*07:02:01-DRB1*13:12:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01005,266
 517  A*11:01-B*38:02-C*07:02-DRB1*08:03  Japan pop 16 0.010018,604
 518  A*24:02-B*38:02-C*07:02-DRB1*08:03  Japan pop 16 0.010018,604
 519  A*24:02-B*38:02-C*07:02-DRB1*14:06  Japan pop 16 0.010018,604
 520  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*09:01:02-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00985,266
 521  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*08:03:02-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00975,266
 522  A*11:01-B*38:02-C*07:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.00964,204
 523  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*04:03:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 524  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*13:02:01-DPB1*296:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 525  A*02:06:01-B*38:02:01-C*07:02:01-DRB1*04:03:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 526  A*02:06:01-B*38:02:01-C*07:02:01-DRB1*14:54:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 527  A*02:07:01-B*38:02:01-C*07:02:01-DRB1*04:04:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 528  A*24:02-B*38:02-C*07:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.009511,446
 529  A*30:01:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 530  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*08:09:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00945,266
 531  A*02:06:01-B*38:02:01-C*07:02:01-DRB1*04:03:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00945,266
 532  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*03:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00945,266
 533  A*24:02:40-B*38:02:01-C*07:02:01-DRB1*12:02:01-DPB1*21:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00935,266
 534  A*33:03:01-B*38:02:01-C*07:02:01-DRB1*11:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00935,266
 535  A*11:02:01-B*38:02:01-C*07:02:01-DRB1*04:05:01-DPB1*135:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00925,266
 536  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*14:05:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00915,266
 537  A*11:01:01-B*38:02:01-C*07:02:01-DRB1*07:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00915,266
 538  A*11:01-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India West UCBB 0.00915,829
 539  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*09:01:02-DPB1*135:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00905,266
 540  A*02:03-B*38:02-C*07:02-DRB1*04:05  Hong Kong Chinese BMDR 0.00907,595
 541  A*33:03:01-B*38:02:01-C*07:02:01-DRB1*14:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00905,266
 542  A*11:01-B*38:02-C*07:02-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP South Asian Indian 0.0090185,391
 543  A*01:01-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India South UCBB 0.008911,446
 544  A*02:11-B*38:02-C*07:02-DRB1*12:02-DQB1*03:01  India South UCBB 0.008811,446
 545  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*07:01:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00885,266
 546  A*01:01-B*38:02-C*07:02-DRB1*01:01-DQB1*05:01  India South UCBB 0.008711,446
 547  A*11:01-B*38:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.008711,446
 548  A*24:02-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India South UCBB 0.008711,446
 549  A*02:03-B*38:02-C*07:02-DRB1*01:01-DQB1*05:01  India West UCBB 0.00865,829
 550  A*02:03-B*38:02-C*07:02-DRB1*04:05-DQB1*04:01  India West UCBB 0.00865,829
 551  A*02:03-B*38:02-C*07:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 552  A*02:03-B*38:02-C*07:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 553  A*02:06-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India West UCBB 0.00865,829
 554  A*02:11-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.00865,829
 555  A*02:11-B*38:02-C*07:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 556  A*11:01-B*38:02-C*07:02-DRB1*07:03-DQB1*02:02  India West UCBB 0.00865,829
 557  A*11:01-B*38:02-C*07:02-DRB1*08:19-DQB1*06:01  India West UCBB 0.00865,829
 558  A*11:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:03  India West UCBB 0.00865,829
 559  A*24:02-B*38:02-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.00865,829
 560  A*24:02-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  India West UCBB 0.00865,829
 561  A*31:01-B*38:02-C*07:02-DRB1*14:54-DQB1*05:03  India West UCBB 0.00865,829
 562  A*33:03-B*38:02-C*07:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 563  A*33:03-B*38:02-C*07:02-DRB1*12:02-DQB1*03:01  India West UCBB 0.00865,829
 564  A*68:01-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  India West UCBB 0.00865,829
 565  A*74:02-B*38:02-C*07:02-DRB1*12:01-DQB1*03:01  India West UCBB 0.00865,829
 566  A*74:02-B*38:02-C*07:02-DRB1*13:02-DQB1*06:04  India West UCBB 0.00865,829
 567  A*74:02-B*38:02-C*07:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.00865,829
 568  A*74:02-B*38:02-C*07:02-DRB1*15:02-DQB1*05:03  India West UCBB 0.00865,829
 569  A*74:02-B*38:02-C*07:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.00865,829
 570  A*02:01-B*38:02-C*07:02-DRB1*04:10-DQB1*04:02  India North UCBB 0.00855,849
 571  A*02:01-B*38:02-C*07:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 572  A*02:01-B*38:02-C*07:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.00855,849
 573  A*02:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India South UCBB 0.008511,446
 574  A*02:01-B*38:02-C*07:02-DRB1*15:06-DQB1*05:02  India North UCBB 0.00855,849
 575  A*02:03-B*38:02-C*07:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.00855,849
 576  A*02:03-B*38:02-C*07:02-DRB1*14:54-DQB1*05:03  India North UCBB 0.00855,849
 577  A*02:07:01-B*38:02:01-C*07:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00855,266
 578  A*02:11-B*38:02-C*07:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.00855,849
 579  A*03:01-B*38:02-C*07:02-DRB1*08:19-DQB1*06:01  India North UCBB 0.00855,849
 580  A*03:02-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India North UCBB 0.00855,849
 581  A*11:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India North UCBB 0.00855,849
 582  A*23:01-B*38:02-C*07:02-DRB1*07:01-DQB1*03:03  India North UCBB 0.00855,849
 583  A*26:01-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India North UCBB 0.00855,849
 584  A*32:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India North UCBB 0.00855,849
 585  A*33:03:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00855,266
 586  A*33:03-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India North UCBB 0.00855,849
 587  A*74:02-B*38:02-C*07:02-DRB1*12:02-DQB1*03:01  India North UCBB 0.00855,849
 588  A*02:07:01-B*38:02:01-C*07:02:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00845,266
 589  A*03:01-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India South UCBB 0.008411,446
 590  A*33:03:01-B*38:02:01-C*07:02:01-DRB1*04:05:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00845,266
 591  A*11:01:01-B*38:02:01-C*07:02:01-DRB1*08:03:02-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00815,266
 592  A*02:01:01-B*38:02:01-C*07:02:01-DRB1*11:01:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00805,266
 593  A*02:06-B*38:02-C*07:02-DRB1*08:03  Hong Kong Chinese BMDR 0.00807,595
 594  A*02:06-B*38:02-C*07:02-DRB1*09:01  Hong Kong Chinese BMDR 0.00807,595
 595  A*02:07:01-B*38:02:01-C*07:02:01-DRB1*04:04:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00805,266
 596  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*08:03:02-DPB1*135:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00805,266
 597  A*24:02-B*38:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.008011,446
 598  A*11:01:01-B*38:02:01-C*07:02:01-DRB1*12:68-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00795,266
 599  A*02:01:01-B*38:02:01-C*07:02:01-DRB1*04:05:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00775,266
 600  A*26:01-B*38:02-C*07:02-DRB1*15:02-DRB5*01:02-DQB1*05:01  USA NMDP Southeast Asian 0.007727,978

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 713) 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.

support@allelefrequencies.net


Valid XHTML 1.0 Transitional