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 601 to 700 (from 827) records   Pages: 1 2 3 4 5 6 7 8 9 of 9  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 601  A*01:01-B*38:02-C*07:02-DRB1*04:06-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 602  A*02:01-B*38:02-C*07:02-DRB1*09:01  Japan pop 16 0.010018,604
 603  A*02:03-B*38:02-C*07:02-DRB1*15:01  Japan pop 16 0.010018,604
 604  A*02:03-B*38:02-C*07:02-DRB1*16:02  Japan pop 16 0.010018,604
 605  A*02:06-B*38:02-C*07:02-DRB1*08:03  Japan pop 16 0.010018,604
 606  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
 607  A*11:01-B*38:02-C*07:02-DRB1*08:03  Japan pop 16 0.010018,604
 608  A*24:02-B*38:02-C*07:02-DRB1*08:03  Japan pop 16 0.010018,604
 609  A*24:02-B*38:02-C*07:02-DRB1*14:06  Japan pop 16 0.010018,604
 610  A*68:01-B*38:01-C*07:01-DRB1*15:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01004,856
 611  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
 612  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
 613  A*11:01-B*38:02-C*07:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.00964,204
 614  A*02:01:01-B*38:02:01-C*07:04:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 615  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
 616  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
 617  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
 618  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
 619  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
 620  A*24:02-B*38:02-C*07:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.009511,446
 621  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
 622  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
 623  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
 624  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
 625  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
 626  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
 627  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
 628  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
 629  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
 630  A*11:01-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India West UCBB 0.00915,829
 631  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
 632  A*02:03-B*38:02-C*07:02-DRB1*04:05  Hong Kong Chinese BMDR 0.00907,595
 633  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
 634  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
 635  A*01:01-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India South UCBB 0.008911,446
 636  A*02:11-B*38:02-C*07:02-DRB1*12:02-DQB1*03:01  India South UCBB 0.008811,446
 637  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
 638  A*01:01-B*38:02-C*07:02-DRB1*01:01-DQB1*05:01  India South UCBB 0.008711,446
 639  A*11:01-B*38:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.008711,446
 640  A*24:02-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India South UCBB 0.008711,446
 641  A*02:03-B*38:02-C*07:02-DRB1*01:01-DQB1*05:01  India West UCBB 0.00865,829
 642  A*02:03-B*38:02-C*07:02-DRB1*04:05-DQB1*04:01  India West UCBB 0.00865,829
 643  A*02:03-B*38:02-C*07:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 644  A*02:03-B*38:02-C*07:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 645  A*02:06-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India West UCBB 0.00865,829
 646  A*02:11-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.00865,829
 647  A*02:11-B*38:02-C*07:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 648  A*11:01-B*38:02-C*07:02-DRB1*07:03-DQB1*02:02  India West UCBB 0.00865,829
 649  A*11:01-B*38:02-C*07:02-DRB1*08:19-DQB1*06:01  India West UCBB 0.00865,829
 650  A*11:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:03  India West UCBB 0.00865,829
 651  A*24:02-B*38:02-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.00865,829
 652  A*24:02-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  India West UCBB 0.00865,829
 653  A*31:01-B*38:02-C*07:02-DRB1*14:54-DQB1*05:03  India West UCBB 0.00865,829
 654  A*33:03-B*38:02-C*07:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 655  A*33:03-B*38:02-C*07:02-DRB1*12:02-DQB1*03:01  India West UCBB 0.00865,829
 656  A*68:01-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  India West UCBB 0.00865,829
 657  A*74:02-B*38:02-C*07:02-DRB1*12:01-DQB1*03:01  India West UCBB 0.00865,829
 658  A*74:02-B*38:02-C*07:02-DRB1*13:02-DQB1*06:04  India West UCBB 0.00865,829
 659  A*74:02-B*38:02-C*07:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.00865,829
 660  A*74:02-B*38:02-C*07:02-DRB1*15:02-DQB1*05:03  India West UCBB 0.00865,829
 661  A*74:02-B*38:02-C*07:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.00865,829
 662  A*02:01-B*38:02-C*07:02-DRB1*04:10-DQB1*04:02  India North UCBB 0.00855,849
 663  A*02:01-B*38:02-C*07:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 664  A*02:01-B*38:02-C*07:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.00855,849
 665  A*02:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India South UCBB 0.008511,446
 666  A*02:01-B*38:02-C*07:02-DRB1*15:06-DQB1*05:02  India North UCBB 0.00855,849
 667  A*02:03-B*38:02-C*07:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.00855,849
 668  A*02:03-B*38:02-C*07:02-DRB1*14:54-DQB1*05:03  India North UCBB 0.00855,849
 669  A*02:06-B*38:02-C*07:06-DRB1*14:54-DQB1*05:02  India North UCBB 0.00855,849
 670  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
 671  A*02:11-B*38:02-C*07:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.00855,849
 672  A*03:01-B*38:02-C*07:02-DRB1*08:19-DQB1*06:01  India North UCBB 0.00855,849
 673  A*03:01-B*38:02-C*07:06-DRB1*14:04-DQB1*03:01  India North UCBB 0.00855,849
 674  A*03:02-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India North UCBB 0.00855,849
 675  A*11:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India North UCBB 0.00855,849
 676  A*23:01-B*38:02-C*07:02-DRB1*07:01-DQB1*03:03  India North UCBB 0.00855,849
 677  A*26:01-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India North UCBB 0.00855,849
 678  A*32:01-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India North UCBB 0.00855,849
 679  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
 680  A*33:03-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India North UCBB 0.00855,849
 681  A*74:02-B*38:02-C*07:02-DRB1*12:02-DQB1*03:01  India North UCBB 0.00855,849
 682  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
 683  A*03:01-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India South UCBB 0.008411,446
 684  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
 685  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
 686  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
 687  A*02:06-B*38:02-C*07:02-DRB1*08:03  Hong Kong Chinese BMDR 0.00807,595
 688  A*02:06-B*38:02-C*07:02-DRB1*09:01  Hong Kong Chinese BMDR 0.00807,595
 689  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
 690  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
 691  A*24:02-B*38:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.008011,446
 692  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
 693  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
 694  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
 695  A*32:01-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India South UCBB 0.007511,446
 696  A*11:02:01-B*38:02:01-C*07:02:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00745,266
 697  A*24:02-B*38:02-C*07:02-DRB1*04:03  Hong Kong Chinese BMDR 0.00737,595
 698  A*24:02-B*38:02-C*07:02-DRB1*14:05  Hong Kong Chinese BMDR 0.00737,595
 699  A*11:02-B*38:02-C*07:02-DRB1*12:02  Hong Kong Chinese BMDR 0.00717,595
 700  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*16:02:01-DPB1*652:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00705,266

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 601 to 700 (from 827) records   Pages: 1 2 3 4 5 6 7 8 9 of 9  


   

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