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 601 to 663 (from 663) records   Pages: 1 2 3 4 5 6 7 of 7  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 601  A*33:03-B*40:02-C*03:04-DRB1*04:05-DQB1*04:01  Germany DKMS - Turkey minority 0.01004,856
 602  A*68:01-B*40:06-C*08:01-DRB1*04:05-DQB1*04:01  Germany DKMS - Turkey minority 0.01004,856
 603  A*01:01-B*40:06-C*12:02-DRB1*04:05-DQB1*04:01  India South UCBB 0.009311,446
 604  A*11:01-B*39:01-C*03:03-DRB1*04:05-DQB1*04:01  India South UCBB 0.009111,446
 605  A*68:01-B*51:01-C*01:02-DRB1*04:05-DQB1*04:01  India South UCBB 0.008711,446
 606  A*02:03-B*38:02-C*07:02-DRB1*04:05-DQB1*04:01  India West UCBB 0.00865,829
 607  A*02:11-B*39:01-C*07:02-DRB1*04:05-DQB1*04:01  India West UCBB 0.00865,829
 608  A*11:01-B*35:03-C*14:02-DRB1*04:05-DQB1*04:01  India West UCBB 0.00865,829
 609  A*24:02-B*40:06-C*15:02-DRB1*04:05-DQB1*04:01  India West UCBB 0.00865,829
 610  A*24:07-B*13:01-C*04:06-DRB1*04:05-DQB1*04:01  India West UCBB 0.00865,829
 611  A*33:03-B*15:02-C*08:01-DRB1*04:05-DQB1*04:01  India West UCBB 0.00865,829
 612  A*68:01-B*40:06-C*07:04-DRB1*04:05-DQB1*04:01  India West UCBB 0.00865,829
 613  A*01:01-B*40:06-C*12:02-DRB1*04:05-DQB1*04:01  India North UCBB 0.00855,849
 614  A*11:01-B*55:01-C*01:02-DRB1*04:05-DQB1*04:01  India North UCBB 0.00855,849
 615  A*24:02-B*18:01-C*07:01-DRB1*07:01-DQB1*04:01  India North UCBB 0.00855,849
 616  A*26:01-B*55:02-C*01:02-DRB1*04:05-DQB1*04:01  India North UCBB 0.00855,849
 617  A*32:01-B*39:01-C*03:03-DRB1*04:05-DQB1*04:01  India South UCBB 0.008411,446
 618  A*24:02-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP South Asian Indian 0.0084185,391
 619  A*01:01-B*07:02-C*07:02-DRB1*04:05-DQB1*04:01  India East UCBB 0.00712,403
 620  A*11:01-B*40:06-C*12:02-DRB1*04:05-DQB1*04:01  India South UCBB 0.005511,446
 621  A*31:01-B*51:01-C*14:02-DRB1*04:05-DQB1*04:01  India South UCBB 0.005211,446
 622  A*01:01-B*07:06-C*07:02-DRB1*04:05-DQB1*04:01  India South UCBB 0.004411,446
 623  A*01:01-B*35:03-C*04:01-DRB1*04:05-DQB1*04:01  India South UCBB 0.004411,446
 624  A*01:01-B*39:01-C*15:02-DRB1*04:05-DQB1*04:01  India South UCBB 0.004411,446
 625  A*02:01-B*38:02-C*07:02-DRB1*14:54-DQB1*04:01  India South UCBB 0.004411,446
 626  A*02:01-B*40:01-C*07:02-DRB1*04:05-DQB1*04:01  India South UCBB 0.004411,446
 627  A*02:06-B*15:02-C*08:01-DRB1*04:05-DQB1*04:01  India South UCBB 0.004411,446
 628  A*02:06-B*51:01-C*14:02-DRB1*04:05-DQB1*04:01  India South UCBB 0.004411,446
 629  A*02:09-B*40:06-C*12:02-DRB1*04:05-DQB1*04:01  India South UCBB 0.004411,446
 630  A*02:11-B*40:06-C*07:02-DRB1*04:05-DQB1*04:01  India South UCBB 0.004411,446
 631  A*02:11-B*51:01-C*14:02-DRB1*04:05-DQB1*04:01  India South UCBB 0.004411,446
 632  A*03:01-B*52:01-C*06:02-DRB1*04:05-DQB1*04:01  India South UCBB 0.004411,446
 633  A*03:01-B*52:01-C*12:02-DRB1*04:05-DQB1*04:01  India South UCBB 0.004411,446
 634  A*11:01-B*56:01-C*01:02-DRB1*04:05-DQB1*04:01  India South UCBB 0.004411,446
 635  A*11:03-B*39:01-C*07:02-DRB1*04:05-DQB1*04:01  India South UCBB 0.004411,446
 636  A*11:03-B*52:01-C*07:02-DRB1*04:05-DQB1*04:01  India South UCBB 0.004411,446
 637  A*24:02-B*38:02-C*07:02-DRB1*04:05-DQB1*04:01  India South UCBB 0.004411,446
 638  A*24:02-B*51:01-C*14:02-DRB1*04:05-DQB1*04:01  India South UCBB 0.004411,446
 639  A*30:02-B*58:01-C*03:146-DRB1*04:05-DQB1*04:01  India South UCBB 0.004411,446
 640  A*31:01-B*51:01-C*15:02-DRB1*04:05-DQB1*04:01  India South UCBB 0.004411,446
 641  A*32:01-B*48:04-C*01:02-DRB1*04:05-DQB1*04:01  India South UCBB 0.004411,446
 642  A*68:01-B*15:18-C*07:04-DRB1*04:05-DQB1*04:01  India South UCBB 0.004411,446
 643  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*04:05:01-DQB1*04:01:01  Poland BMR 0.004223,595
 644  A*24:07-B*50:01-C*06:02-DRB1*04:05-DQB1*04:01  India Tamil Nadu 0.00402,492
 645  A*33:03-B*51:01-C*15:02-DRB1*04:05-DQB1*04:01  India Tamil Nadu 0.00402,492
 646  A*11:01-B*39:01-C*12:03-DRB1*04:05-DQB1*04:01  India South UCBB 0.003511,446
 647  A*02:11-B*40:06-C*12:02-DRB1*04:05-DQB1*04:01  India South UCBB 0.002611,446
 648  A*11:01-B*15:01-C*03:03-DRB1*04:05-DQB1*04:01  India Tamil Nadu 0.00222,492
 649  A*24:02-B*59:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Filipino 0.002250,614
 650  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*04:04:01-DQB1*04:01:01  Poland BMR 0.002123,595
 651  A*26:01-B*13:01-C*01:02-DRB1*04:05-DQB1*04:01  India Tamil Nadu 0.00102,492
 652  A*26:01-B*13:02-C*01:02-DRB1*04:05-DQB1*04:01  India Tamil Nadu 0.00102,492
 653  A*26:02-B*13:01-C*01:02-DRB1*04:05-DQB1*04:01  India Tamil Nadu 0.00102,492
 654  A*26:02-B*13:02-C*01:02-DRB1*04:05-DQB1*04:01  India Tamil Nadu 0.00102,492
 655  A*24:02-B*59:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP South Asian Indian 0.0002700185,391
 656  A*24:02-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP European Caucasian 0.00021001,242,890
 657  A*34:01-B*51:01-C*04:01-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Chinese 0.000187099,672
 658  A*11:01-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP South Asian Indian 0.0001440185,391
 659  A*34:01-B*51:01-C*04:01-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP European Caucasian 0.00012961,242,890
 660  A*11:01-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP African American pop 2 0.0001200416,581
 661  A*11:01-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Middle Eastern or North Coast of Africa 0.000080070,890
 662  A*11:01-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP North American Amerindian 0.000034035,791
 663  A*24:02-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Middle Eastern or North Coast of Africa 0.000003070,890

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 663 (from 663) records   Pages: 1 2 3 4 5 6 7 of 7  


   

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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