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 701 to 800 (from 892) 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*51:01-C*07:01-DRB1*01:02  Poland DKMS 0.004820,653
 702  A*01:03-B*51:01-DRB1*01:01  Israel YemenJews 0.004815,542
 703  A*24:02-B*51:08-DRB1*01:03  Israel Morocco Jews 0.004836,718
 704  A*23:01-B*51:01-DRB1*01:01  Israel USSR Jews 0.004845,681
 705  A*01:01-B*51:01-C*07:02-DRB1*01:01  Poland DKMS 0.004720,653
 706  A*11:01:01-B*51:07:01-C*14:02:01-DRB1*01:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00475,266
 707  A*24:02-B*51:01-DRB1*01:02  Israel Arab pop 2 0.004612,301
 708  A*23:01-B*51:08-DRB1*01:02  Israel Morocco Jews 0.004536,718
 709  A*68:02-B*51:08-DRB1*01:01  Israel Morocco Jews 0.004536,718
 710  A*68:01-B*51:01-DRB1*01:02  Israel Iraq Jews 0.004513,270
 711  A*02:01-B*51:01-C*05:01-DRB1*01:01-DQB1*05:01  India South UCBB 0.004411,446
 712  A*02:01-B*51:01-C*16:02-DRB1*01:01-DQB1*06:03  India South UCBB 0.004411,446
 713  A*02:06-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  India South UCBB 0.004411,446
 714  A*02:09-B*51:01-C*15:02-DRB1*01:01-DQB1*05:158  India South UCBB 0.004411,446
 715  A*02:11-B*51:01-C*16:19-DRB1*01:01-DQB1*05:01  India South UCBB 0.004411,446
 716  A*11:01-B*51:01-C*14:02-DRB1*01:02-DQB1*06:01  India South UCBB 0.004411,446
 717  A*11:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  India South UCBB 0.004411,446
 718  A*11:01-B*51:06-C*14:02-DRB1*01:01-DQB1*05:01  India South UCBB 0.004411,446
 719  A*24:02-B*51:08-C*05:01-DRB1*01:01-DQB1*05:01  India South UCBB 0.004411,446
 720  A*24:07-B*51:01-C*04:10-DRB1*01:01-DQB1*05:01  India South UCBB 0.004411,446
 721  A*30:01-B*51:08-C*05:01-DRB1*01:01-DQB1*05:01  India South UCBB 0.004411,446
 722  A*31:01-B*51:01-C*14:02-DRB1*01:01-DQB1*05:01  India South UCBB 0.004411,446
 723  A*33:03-B*51:01-C*16:02-DRB1*01:02-DQB1*05:01  India South UCBB 0.004411,446
 724  A*33:03-B*51:08-C*05:01-DRB1*01:01-DQB1*05:01  India South UCBB 0.004411,446
 725  A*68:01-B*51:01-C*16:02-DRB1*01:02-DQB1*05:01  India South UCBB 0.004411,446
 726  A*24:07-B*51:01-C*04:01-DRB1*01:01-DQB1*05:01  India South UCBB 0.004311,446
 727  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.004323,595
 728  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.004323,595
 729  A*02:01:01-B*51:08:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.004223,595
 730  A*03:01:01-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*06:04:01  Poland BMR 0.004223,595
 731  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*01:01:01-DQB1*03:03:02  Poland BMR 0.004223,595
 732  A*31:01:02-B*51:01:01-C*01:02:01-DRB1*01:01:01-DQB1*04:02:01  Poland BMR 0.004223,595
 733  A*02:01-B*51:01-DRB1*01:03  Israel USSR Jews 0.004145,681
 734  A*03:01-B*51:01-C*03:03-DRB1*01:01  Poland DKMS 0.004120,653
 735  A*02:02-B*51:01-DRB1*01:01  Israel Morocco Jews 0.004136,718
 736  A*68:01-B*51:08-DRB1*01:01  Israel Morocco Jews 0.004136,718
 737  A*68:02-B*51:06-DRB1*01:01  Israel Morocco Jews 0.004136,718
 738  A*02:01:01-B*51:01:01-C*01:02:01-DRB1*01:01:01-DQB1*02:02:01  Poland BMR 0.004123,595
 739  A*11:01-B*51:01-DRB1*01:02  Israel USSR Jews 0.004145,681
 740  A*32:01:01-B*51:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.004123,595
 741  A*02:05-B*51:01-DRB1*01:02  Israel Poland Jews 0.004013,871
 742  A*02:09-B*51:01-C*16:02-DRB1*01:01-DQB1*05:01  India South UCBB 0.004011,446
 743  A*80-B*51-DRB1*01  Brazil South East Cord Blood 0.004011,409
 744  A*01:01-B*51:01-DRB1*01:01  Israel USSR Jews 0.003945,681
 745  A*31:01:02-B*51:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.003823,595
 746  A*33:01-B*51:01-DRB1*01:02  Israel Iraq Jews 0.003813,270
 747  A*03:02-B*51:01-DRB1*01:02  Israel Poland Jews 0.003713,871
 748  A*29:01-B*51:01-DRB1*01:02  Israel Poland Jews 0.003713,871
 749  A*02:01-B*51:08-DRB1*01:03  Israel Poland Jews 0.003613,871
 750  A*03:02-B*51:01-DRB1*01:01  Israel Poland Jews 0.003613,871
 751  A*26:01-B*51:01-DRB1*01:02  Israel Poland Jews 0.003613,871
 752  A*30:01-B*51:01-DRB1*01:02  Israel Poland Jews 0.003513,871
 753  A*03:01-B*51:01-C*15:02-DRB1*01:01  Poland DKMS 0.003320,653
 754  A*01:01-B*51:08-DRB1*01:02  Israel Morocco Jews 0.003336,718
 755  A*03:01:01-B*51:01:01-C*14:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.003323,595
 756  A*24:04-B*51:01-DRB1*01:01  Israel YemenJews 0.003215,542
 757  A*68:01-B*51:08-DRB1*01:01  Israel YemenJews 0.003215,542
 758  A*25:01-B*51:01-DRB1*01:01  Israel USSR Jews 0.003145,681
 759  A*26:01:01-B*51:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002923,595
 760  A*23:01-B*51:01-C*01:02-DRB1*01:01  Poland DKMS 0.002820,653
 761  A*26:01-B*51:08-DRB1*01:03  Israel Morocco Jews 0.002836,718
 762  A*26:01-B*51:08-DRB1*01:01  Israel Morocco Jews 0.002736,718
 763  A*23:01-B*51:01-DRB1*01:02  Israel Morocco Jews 0.002736,718
 764  A*26:01-B*51:01-DRB1*01:01  Israel USSR Jews 0.002745,681
 765  A*02:01:01-B*51:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002723,595
 766  A*02:01:01-B*51:01:01-C*01:02:01-DRB1*01:01:01-DQB1*03:01:01  Poland BMR 0.002623,595
 767  A*24:02:01-B*51:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002623,595
 768  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*01:01:01-DQB1*06:02:01  Poland BMR 0.002623,595
 769  A*11:01:01-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*02:01:01  Poland BMR 0.002623,595
 770  A*11:01-B*51:01-C*14:02-DRB1*01:01  Poland DKMS 0.002620,653
 771  A*26:01:01-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002623,595
 772  A*03-B*51-DRB1*01:47  Chile Santiago 0.0025920
 773  A*01:01:01-B*51:01:01-C*14:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002523,595
 774  A*02:01-B*51:01-C*07:02-DRB1*01:01  Poland DKMS 0.002520,653
 775  A*02:01-B*51:01-C*02:02-DRB1*01:03  Poland DKMS 0.002420,653
 776  A*02:01-B*51:01-C*14:02-DRB1*01:03  Poland DKMS 0.002420,653
 777  A*03:02-B*51:01-C*14:02-DRB1*01:02  Poland DKMS 0.002420,653
 778  A*24:02-B*51:01-C*02:02-DRB1*01:01  Poland DKMS 0.002420,653
 779  A*24:02-B*51:01-C*15:06-DRB1*01:02  Poland DKMS 0.002420,653
 780  A*26:01-B*51:01-C*12:03-DRB1*01:01  Poland DKMS 0.002420,653
 781  A*26:08-B*51:01-C*14:02-DRB1*01:01  Poland DKMS 0.002420,653
 782  A*29:01-B*51:07-C*14:02-DRB1*01:02  Poland DKMS 0.002420,653
 783  A*30:01-B*51:01-C*12:03-DRB1*01:01  Poland DKMS 0.002420,653
 784  A*31:01-B*51:01-C*04:01-DRB1*01:01  Poland DKMS 0.002420,653
 785  A*32:01-B*51:01-C*15:02-DRB1*01:01  Poland DKMS 0.002420,653
 786  A*66:01-B*51:01-C*15:02-DRB1*01:01  Poland DKMS 0.002420,653
 787  A*68:01-B*51:01-C*07:02-DRB1*01:03  Poland DKMS 0.002420,653
 788  A*69:01-B*51:01-C*14:02-DRB1*01:01  Poland DKMS 0.002420,653
 789  A*11:01-B*51:01-C*14:02-DRB1*01:03  Poland DKMS 0.002320,653
 790  A*24:02-B*51:01-DRB1*01:01  Israel USSR Jews 0.002245,681
 791  A*11:01-B*51:01-C*03:03-DRB1*01:01  Poland DKMS 0.002220,653
 792  A*26:01-B*51:01-C*14:02-DRB1*01:01  Poland DKMS 0.002220,653
 793  A*02:01:01-B*51:01:01-C*01:02:01-DRB1*01:03-DQB1*03:01:01  Poland BMR 0.002223,595
 794  A*03:01:01-B*51:01:01-C*03:03:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002223,595
 795  A*68:01:01-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002223,595
 796  A*32:01-B*51:01-DRB1*01:02  Israel USSR Jews 0.002145,681
 797  A*26:01:01-B*51:01:01-C*01:02:01-DRB1*01:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 798  A*01:01:01-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 799  A*29:02:01-B*51:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 800  A*11:01:01-B*51:01:01-C*12:03:01-DRB1*01:01:01-DQB1*03:01:01  Poland BMR 0.002123,595

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 701 to 800 (from 892) 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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