Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 701 to 800 (from 817) records   Pages: 1 2 3 4 5 6 7 8 9 of 9  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 701  A*11:01-B*54:01-C*01:02-DRB1*14:06  Japan pop 16 0.005018,604
 702  A*11:01-B*54:01-C*01:02-DRB1*16:02  Japan pop 16 0.005018,604
 703  A*11:01-B*54:01-C*07:04-DRB1*04:05  Japan pop 16 0.005018,604
 704  A*11:02-B*54:01-C*01:02-DRB1*14:05  Japan pop 16 0.005018,604
 705  A*11-B*54-DRB1*15  Brazil South East Cord Blood 0.005011,409
 706  A*24:02-B*54:01-C*01:02-DRB1*03:01  Japan pop 16 0.005018,604
 707  A*24:02-B*54:01-C*01:02-DRB1*04:01  Japan pop 16 0.005018,604
 708  A*24:02-B*54:01-C*01:02-DRB1*04:07  Japan pop 16 0.005018,604
 709  A*24:02-B*54:01-C*01:02-DRB1*07:01  Japan pop 16 0.005018,604
 710  A*24:02-B*54:01-C*01:02-DRB1*08:23  Japan pop 16 0.005018,604
 711  A*24:02-B*54:01-C*01:02-DRB1*13:02  Japan pop 16 0.005018,604
 712  A*24:02-B*54:01-C*03:03-DRB1*01:01  Japan pop 16 0.005018,604
 713  A*24:02-B*54:01-C*08:01-DRB1*04:05  Japan pop 16 0.005018,604
 714  A*24:02-B*54:01-C*08:03-DRB1*01:01  Japan pop 16 0.005018,604
 715  A*24:02-B*54:01-C*08:03-DRB1*12:01  Japan pop 16 0.005018,604
 716  A*24:02-B*54:21-C*08:03-DRB1*08:03  Japan pop 16 0.005018,604
 717  A*24:20-B*54:01-C*01:02-DRB1*13:01  Japan pop 16 0.005018,604
 718  A*26:01-B*54:01-C*01:02-DRB1*01:01  Japan pop 16 0.005018,604
 719  A*26:01-B*54:01-C*01:02-DRB1*04:03  Japan pop 16 0.005018,604
 720  A*26:01-B*54:01-C*01:02-DRB1*14:03  Japan pop 16 0.005018,604
 721  A*26:01-B*54:01-C*01:02-DRB1*14:06  Japan pop 16 0.005018,604
 722  A*26:01-B*54:01-C*01:02-DRB1*15:01  Japan pop 16 0.005018,604
 723  A*26:01-B*54:01-C*01:02-DRB1*15:02  Japan pop 16 0.005018,604
 724  A*26:01-B*54:01-C*03:03-DRB1*04:05  Japan pop 16 0.005018,604
 725  A*26:01-B*54:01-C*08:01-DRB1*16:02  Japan pop 16 0.005018,604
 726  A*26:01-B*54:01-C*08:03-DRB1*04:05  Japan pop 16 0.005018,604
 727  A*26:02-B*54:01-C*01:02-DRB1*08:03  Japan pop 16 0.005018,604
 728  A*26:02-B*54:01-C*01:02-DRB1*09:01  Japan pop 16 0.005018,604
 729  A*26:03-B*54:01-C*01:02-DRB1*04:06  Japan pop 16 0.005018,604
 730  A*26:03-B*54:01-C*01:02-DRB1*08:03  Japan pop 16 0.005018,604
 731  A*26:03-B*54:01-C*01:02-DRB1*13:01  Japan pop 16 0.005018,604
 732  A*26:03-B*54:01-C*01:02-DRB1*15:02  Japan pop 16 0.005018,604
 733  A*29-B*54-DRB1*15  Brazil South East Cord Blood 0.005011,409
 734  A*31:01-B*54:01-C*01:02-DRB1*12:01  Japan pop 16 0.005018,604
 735  A*31:01-B*54:01-C*01:02-DRB1*13:02  Japan pop 16 0.005018,604
 736  A*31:01-B*54:01-C*01:02-DRB1*14:06  Japan pop 16 0.005018,604
 737  A*31:01-B*54:01-C*03:03-DRB1*09:01  Japan pop 16 0.005018,604
 738  A*31:01-B*54:01-C*08:03-DRB1*04:05  Japan pop 16 0.005018,604
 739  A*33:03-B*54:01-C*01:02-DRB1*01:01  Japan pop 16 0.005018,604
 740  A*33:03-B*54:01-C*01:02-DRB1*09:01  Japan pop 16 0.005018,604
 741  A*33:03-B*54:01-C*01:02-DRB1*13:01  Japan pop 16 0.005018,604
 742  A*33:03-B*54:01-C*03:04-DRB1*14:54  Japan pop 16 0.005018,604
 743  A*33:03-B*54:01-C*08:03-DRB1*04:05  Japan pop 16 0.005018,604
 744  A*02:01-B*54:01-C*01:02-DRB1*12:01  Hong Kong Chinese BMDR 0.00497,595
 745  A*02:07:01-B*54:01:01-C*01:02:01-DRB1*14:54:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00495,266
 746  A*24:02-B*54:01-C*01:02-DRB1*15:02  Hong Kong Chinese BMDR 0.00497,595
 747  A*68:01-B*54:01-C*08:01-DRB1*08:03  Hong Kong Chinese BMDR 0.00497,595
 748  A*02:01-B*54:01  China Hubei Han 0.00483,732
 749  A*24:02:01-B*54:01:01-C*08:01:01-DRB1*04:05:01-DPB1*135:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00485,266
 750  A*02:01:01-B*54:01:01-C*01:02:01-DRB1*04:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00475,266
 751  A*11:01:01-B*54:01:01-C*01:02:01-DRB1*04:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00475,266
 752  A*24:02:01-B*54:01:01-C*01:02:01-DRB1*01:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00475,266
 753  A*24:02:01-B*54:01:01-C*01:02:01-DRB1*15:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00475,266
 754  A*33:03-B*54:01-C*04:01-DRB1*04:05  Hong Kong Chinese BMDR 0.00477,595
 755  A*11:01-B*54:01-C*04:01-DRB1*04:05  Hong Kong Chinese BMDR 0.00437,595
 756  A*11:01-B*54:01-C*03:04-DRB1*07:01  Hong Kong Chinese BMDR 0.00417,595
 757  A*02-B*54-DRB1*07  Brazil South East Cord Blood 0.004011,409
 758  A*02-B*54-DRB1*12  Brazil South East Cord Blood 0.004011,409
 759  A*11:01-B*54:04-C*08:01-DRB1*11:01  Hong Kong Chinese BMDR 0.00407,595
 760  A*11-B*54-DRB1*16  Brazil South East Cord Blood 0.004011,409
 761  A*26-B*54-DRB1*04  Brazil South East Cord Blood 0.004011,409
 762  A*02:01-B*54:01-C*01:02-DRB1*14:07  Hong Kong Chinese BMDR 0.00397,595
 763  A*33:03-B*54:01-C*03:04-DRB1*11:01  Hong Kong Chinese BMDR 0.00387,595
 764  A*24:02-B*54:01-C*01:02-DRB1*10:01  Hong Kong Chinese BMDR 0.00377,595
 765  A*26:01-B*54:01-C*01:02-DRB1*14:05  Hong Kong Chinese BMDR 0.00377,595
 766  A*23:01-B*54:01-DRB1*14:05  Israel Poland Jews 0.003613,871
 767  A*24:02-B*54:01-DRB1*12:01  Israel Poland Jews 0.003613,871
 768  A*24:02-B*54:01-C*01:02-DRB1*03:01  Hong Kong Chinese BMDR 0.00337,595
 769  A*01:01:01-B*54:01:01-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.003023,595
 770  A*02:01-B*54:01-DRB1*04:04  Israel USSR Jews 0.002745,681
 771  A*01:01-B*54:01-C*01:02-DRB1*14:05  Poland DKMS 0.002420,653
 772  A*01:01:01-B*54:01:01-C*03:04:01-DRB1*11:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 773  A*02:01:01-B*54:01:01-C*01:02:01-DRB1*14:05:01-DQB1*05:03:01  Poland BMR 0.002123,595
 774  A*11:01:01-B*54:01:01-C*07:02:01-DRB1*15:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 775  A*24:02:01-B*54:01:01-C*01:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 776  A*02:01-B*54:01-DRB1*10:01  Israel USSR Jews 0.002045,681
 777  A*31:08-B*54:01-DRB1*16:01  Israel USSR Jews 0.001945,681
 778  A*01:01-B*54:01-DRB1*04:05  Israel USSR Jews 0.001945,681
 779  A*31:08-B*54:01-DRB1*11:04  Israel USSR Jews 0.001945,681
 780  A*02:06-B*54:01  China Hubei Han 0.00153,732
 781  A*31:08-B*54:01-DRB1*12:01  Israel USSR Jews 0.001445,681
 782  A*24:02-B*54:01-DRB1*07:01  Israel Morocco Jews 0.001436,718
 783  A*01:01-B*54:01-DRB1*14:01  Israel USSR Jews 0.001345,681
 784  A*02:07-B*54:01  China Hubei Han 0.00133,732
 785  A*01:01:01-B*54:01:01-C*03:04:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.001323,595
 786  A*02:01-B*54:01-DRB1*04:05  Israel USSR Jews 0.001245,681
 787  A*01:01-B*54:01-DRB1*11:04  Israel USSR Jews 0.001145,681
 788  A*02:06-B*54:01-DRB1*04:05  Israel USSR Jews 0.001145,681
 789  A*02:06-B*54:01-DRB1*08:03  Israel USSR Jews 0.001145,681
 790  A*11:01-B*54:01-DRB1*16:01  Israel USSR Jews 0.001145,681
 791  A*24:02-B*54:01-DRB1*04:05  Israel USSR Jews 0.001145,681
 792  A*24:02-B*54:01-DRB1*12:01  Israel USSR Jews 0.001145,681
 793  A*24:04-B*54:01-DRB1*07:01  Israel USSR Jews 0.001145,681
 794  A*24:04-B*54:01-DRB1*15:01  Israel USSR Jews 0.001145,681
 795  A*26:01-B*54:01-DRB1*11:04  Israel USSR Jews 0.001145,681
 796  A*68:02-B*54:01-DRB1*14:01  Israel USSR Jews 0.001145,681
 797  A*31:08-B*54:01-DRB1*14:01  Israel USSR Jews 0.001145,681
 798  A*31:01-B*54:01  China Hubei Han 0.00090003,732
 799  A*24:04-B*54:01-DRB1*04:04  Israel USSR Jews 0.000885045,681
 800  A*31:08-B*54:01-DRB1*01:02  Israel USSR Jews 0.000773045,681

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 701 to 800 (from 817) 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.

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