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 803) records   Pages: 1 2 3 4 5 6 7 8 9 of 9  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 701  A*30:01-B*14:01-DRB1*07:01  Israel Poland Jews 0.003613,871
 702  A*30:01-B*14:01-DRB1*15:01  Israel Poland Jews 0.003613,871
 703  A*33:01-B*14:01-DRB1*04:04  Israel Poland Jews 0.003613,871
 704  A*11:01-B*14:01-DRB1*04:04  Israel YemenJews 0.003215,542
 705  A*30:01-B*14:01-DRB1*04:04  Israel YemenJews 0.003215,542
 706  A*01:17-B*14:01-DRB1*14:01  Israel YemenJews 0.003215,542
 707  A*01:36-B*14:01-DRB1*14:01  Israel YemenJews 0.003215,542
 708  A*03:02-B*14:01-DRB1*01:01  Israel YemenJews 0.003215,542
 709  A*23:01-B*14:01-DRB1*04:03  Israel YemenJews 0.003215,542
 710  A*32:01-B*14:01-DRB1*08:03  Israel YemenJews 0.003215,542
 711  A*02:01-B*14:01-C*08:02-DRB1*16:01  Poland DKMS 0.003120,653
 712  A*02:01:01-B*14:01:01-C*08:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002923,595
 713  A*03:01-B*14:01-C*08:02-DRB1*15:01  Poland DKMS 0.002920,653
 714  A*01:01-B*14:01-DRB1*04:02  Israel YemenJews 0.002815,542
 715  A*01:01-B*14:01-DRB1*03:01  Israel YemenJews 0.002815,542
 716  A*30:04-B*14:01-DRB1*04:04  Israel Morocco Jews 0.002736,718
 717  A*02:01-B*14:01-C*08:02-DRB1*04:01  Poland DKMS 0.002620,653
 718  A*24:02:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002523,595
 719  A*23:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002523,595
 720  A*01:01-B*14:01-C*07:01-DRB1*13:03  Poland DKMS 0.002420,653
 721  A*01:01-B*14:01-C*08:02-DRB1*11:01  Poland DKMS 0.002420,653
 722  A*02:01-B*14:01-C*03:04-DRB1*07:01  Poland DKMS 0.002420,653
 723  A*02:01-B*14:01-C*08:02-DRB1*01:02  Poland DKMS 0.002420,653
 724  A*02:01-B*14:01-C*08:02-DRB1*04:04  Poland DKMS 0.002420,653
 725  A*03:01-B*14:01-C*08:02-DRB1*11:04  Poland DKMS 0.002420,653
 726  A*23:01-B*14:01-C*08:02-DRB1*07:01  Poland DKMS 0.002420,653
 727  A*23:01-B*14:01-C*08:02-DRB1*13:02  Poland DKMS 0.002420,653
 728  A*25:01-B*14:01-C*06:02-DRB1*15:01  Poland DKMS 0.002420,653
 729  A*26:01-B*14:01-C*12:03-DRB1*07:01  Poland DKMS 0.002420,653
 730  A*26:01-B*14:01-C*15:05-DRB1*11:02  Poland DKMS 0.002420,653
 731  A*29:02-B*14:01-C*08:02-DRB1*07:01  Poland DKMS 0.002420,653
 732  A*29:02-B*14:01-C*08:02-DRB1*11:02  Poland DKMS 0.002420,653
 733  A*29:02-B*14:01-C*08:02-DRB1*13:03  Poland DKMS 0.002420,653
 734  A*30:01-B*14:01-C*08:02-DRB1*04:03  Poland DKMS 0.002420,653
 735  A*30:02-B*14:01-C*08:02-DRB1*01:02  Poland DKMS 0.002420,653
 736  A*32:01-B*14:01-C*08:02-DRB1*11:04  Poland DKMS 0.002420,653
 737  A*32:01-B*14:01-C*08:12-DRB1*07:01  Poland DKMS 0.002420,653
 738  A*33:01-B*14:01-C*08:02-DRB1*14:07  Poland DKMS 0.002420,653
 739  A*34:02-B*14:01-C*08:02-DRB1*04:05  Poland DKMS 0.002420,653
 740  A*68:02-B*14:01-C*08:02-DRB1*11:04  Poland DKMS 0.002420,653
 741  A*02:01:01-B*14:01:01-C*08:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002323,595
 742  A*11:01-B*14:01-C*08:02-DRB1*04:01  Poland DKMS 0.002320,653
 743  A*02:01:01-B*14:01:01-C*08:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002223,595
 744  A*31:01-B*14:01-C*08:02-DRB1*13:01  Poland DKMS 0.002220,653
 745  A*01:01:01-B*14:01:01-C*08:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 746  A*02:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 747  A*01:01:01-B*14:01:01-C*08:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 748  A*68:01:02-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 749  A*01:01:01-B*14:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 750  A*01:01:01-B*14:01:01-C*08:02:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 751  A*02:01:01-B*14:01:01-C*02:02:02-DRB1*01:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 752  A*02:01:01-B*14:01:01-C*02:02:02-DRB1*04:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 753  A*02:01:01-B*14:01:01-C*08:02:01-DRB1*04:04:01-DQB1*04:02:01  Poland BMR 0.002123,595
 754  A*02:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*03:04:01  Poland BMR 0.002123,595
 755  A*02:22:01-B*14:01:01-C*15:05:02-DRB1*01:01:01-DQB1*03:01:04  Poland BMR 0.002123,595
 756  A*03:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 757  A*11:01:01-B*14:01:01-C*08:02:01-DRB1*04:05:01-DQB1*03:02:01  Poland BMR 0.002123,595
 758  A*24:02:01-B*14:01:01-C*08:02:01-DRB1*11:02:01-DQB1*03:19:01  Poland BMR 0.002123,595
 759  A*29:02:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 760  A*32:01:01-B*14:01:01-C*07:117-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 761  A*32:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 762  A*32:01:01-B*14:01:01-C*08:02:01-DRB1*11:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 763  A*34:02:01-B*14:01:01-C*08:02:01-DRB1*04:05:01-DQB1*03:02:01  Poland BMR 0.002123,595
 764  A*66:01:01-B*14:01:01-C*08:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002123,595
 765  A*32:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 766  A*32:01:01-B*14:01:01-C*08:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.001923,595
 767  A*30:04-B*14:01-DRB1*01:02  Israel YemenJews 0.001815,542
 768  A*30:04-B*14:01-C*08:02-DRB1*04:04-DRB4*01:01-DQB1*04:02  USA NMDP European Caucasian 0.00171,242,890
 769  A*01:17-B*14:01-DRB1*04:03  Israel YemenJews 0.001615,542
 770  A*01:36-B*14:01-DRB1*04:03  Israel YemenJews 0.001615,542
 771  A*01:17-B*14:01-DRB1*13:02  Israel YemenJews 0.001615,542
 772  A*01:36-B*14:01-DRB1*13:02  Israel YemenJews 0.001615,542
 773  A*11:01-B*14:01-DRB1*16:01  Israel YemenJews 0.001615,542
 774  A*30:04-B*14:01-C*08:02-DRB1*04:04-DRB4*01:01-DQB1*04:02  USA NMDP Hispanic South or Central American 0.0015146,714
 775  A*02:01-B*14:01-C*08:02-DRB1*15:01  Poland DKMS 0.001520,653
 776  A*25:01-B*14:01-C*08:02-DRB1*16:01  Poland DKMS 0.001420,653
 777  A*24:02:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*06:03:01  Poland BMR 0.001423,595
 778  A*03:02-B*14:01-DRB1*01:01  Israel Morocco Jews 0.001436,718
 779  A*24:02-B*14:01-DRB1*13:01  Israel Morocco Jews 0.001436,718
 780  A*30:01-B*14:01-DRB1*13:02  Israel Morocco Jews 0.001436,718
 781  A*30:02-B*14:01-DRB1*13:01  Israel Morocco Jews 0.001436,718
 782  A*68:01:02-B*14:01:01-C*08:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.001323,595
 783  A*24:02:01-B*14:01:01-C*08:02:01-DRB1*01:02:01-DQB1*02:02:01  Poland BMR 0.001223,595
 784  A*33:01-B*14:01-DRB1*15:01  Israel USSR Jews 0.001145,681
 785  A*03:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.001123,595
 786  A*01:01-B*14:01-DRB1*08:01  Israel USSR Jews 0.001145,681
 787  A*02:01-B*14:01-DRB1*11:02  Israel USSR Jews 0.001145,681
 788  A*11:04-B*14:01-DRB1*14:06  Israel USSR Jews 0.001145,681
 789  A*24:04-B*14:01-DRB1*07:01  Israel USSR Jews 0.001145,681
 790  A*29:02-B*14:01-DRB1*07:01  Israel USSR Jews 0.001145,681
 791  A*30:01-B*14:01-DRB1*04:07  Israel USSR Jews 0.001145,681
 792  A*30:04-B*14:01-DRB1*03:01  Israel USSR Jews 0.001145,681
 793  A*30:04-B*14:01-DRB1*04:04  Israel USSR Jews 0.001145,681
 794  A*02:01-B*14:01-DRB1*03:01  Israel USSR Jews 0.001145,681
 795  A*30:02-B*14:01  USA African American pop 4 0.00102,411
 796  A*30:01-B*14:01-DRB1*14:01  Israel Morocco Jews 0.000734036,718
 797  A*68:01-B*14:01-DRB1*04:01  Israel Morocco Jews 0.000681036,718
 798  A*68:02-B*14:01-DRB1*04:01  Israel Morocco Jews 0.000681036,718
 799  A*02:01-B*14:01-DRB1*04:03  Israel USSR Jews 0.000613045,681
 800  A*30:04-B*14:01-C*08:02-DRB1*04:04-DRB4*01:01-DQB1*04:02  USA NMDP Caribean Black 0.000235033,328

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 803) 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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