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 7,536) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 76  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 701  A*02-B*13-C*06:02-DRB1*16-DQB1*05  Russia North Ossetian 0.3900127
 702  A*02-B*37-C*06:02-DRB1*10-DQB1*05  Russia North Ossetian 0.3900127
 703  A*02-B*50-C*06:02-DRB1*03-DQB1*02  Russia North Ossetian 0.3900127
 704  A*24-B*13-C*06:02-DRB1*14-DQB1*05  Russia North Ossetian 0.3900127
 705  A*24-B*37-C*06:02-DRB1*07-DQB1*06  Russia North Ossetian 0.3900127
 706  A*68-B*13-C*06:02-DRB1*04-DQB1*03  Russia North Ossetian 0.3900127
 707  A*68-B*13-C*06:02-DRB1*13-DQB1*06  Russia North Ossetian 0.3900127
 708  A*01:01-B*57:01-C*06:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.38925,829
 709  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 710  A*11:01:01-B*13:02:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 711  A*11:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.38852,492
 712  A*29:02:01-B*45:01:01-C*06:02:01  England Blood Donors of Mixed Ethnicity 0.3854519
 713  A*02:05-B*50:01-C*06:02-DRB1*07:01  Germany DKMS - United Kingdom minority 0.38401,043
 714  A*24:02-B*50:01-C*06:02-DRB1*07:01  Germany DKMS - Portugal minority 0.38301,176
 715  A*01:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Austria minority 0.38001,698
 716  A*02:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  USA NMDP Alaska Native or Aleut 0.37901,376
 717  A*02:06-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.37902,492
 718  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.37604,335
 719  B*37:01-C*06:02  USA African American pop 4 0.37602,411
 720  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.3738570
 721  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.3738570
 722  A*02:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  USA NMDP Caribean Indian 0.372914,339
 723  A*11:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India West UCBB 0.37115,829
 724  A*01:01-B*37:01-C*06:02-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Indian 0.3690271
 725  A*01:01-B*57:01-C*06:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Indian 0.3690271
 726  A*01:01-B*57:01-C*06:02-DRB1*10:01-DQB1*03:03  Malaysia Peninsular Indian 0.3690271
 727  A*02:01-B*57:01-C*06:02-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Indian 0.3690271
 728  A*02:05-B*50:01-C*06:02-DRB1*13:02-DQB1*06:04  Malaysia Peninsular Indian 0.3690271
 729  A*24:02-B*57:01-C*06:02-DRB1*07:01-DQB1*06:01  Malaysia Peninsular Indian 0.3690271
 730  A*33:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.3690271
 731  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.36734,204
 732  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Vietnamese 0.366843,540
 733  A*01:01-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - Romania minority 0.36201,234
 734  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA NMDP Alaska Native or Aleut 0.36171,376
 735  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.359228,927
 736  A*30:01-B*13:02-C*06:02-DRB1*04:05-DQB1*03:02  India North UCBB 0.35895,849
 737  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.35685,829
 738  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.354111,446
 739  A*24:02-B*13:02-C*06:02-DRB1*07:01  Germany DKMS - China minority 0.35401,282
 740  A*01:01:01-B*15:10:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*105:01:01  South African Black 0.3520142
 741  A*01:01:01-B*58:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPB1*105:01:01  South African Black 0.3520142
 742  A*01:01:01-B*58:02:01-C*06:02:01-DRB1*14:54:01-DQB1*03:19:01-DPB1*01:01:01  South African Black 0.3520142
 743  A*02:01:01-B*15:10:01-C*06:02:01-DRB1*15:03:01-DQB1*03:01:01-DPB1*01:01:01  South African Black 0.3520142
 744  A*02:01:01-B*58:01:01-C*06:02:01-DRB1*03:01:01-DQB1*06:04:01-DPB1*02:01:02  South African Black 0.3520142
 745  A*02:02:01-B*57:03:01-C*06:02:01-DRB1*13:03:01-DQB1*02:02:01-DPB1*02:01:02  South African Black 0.3520142
 746  A*02:05:01-B*14:01:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*13:01:01  South African Black 0.3520142
 747  A*02:05:01-B*81:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*01:01:01  South African Black 0.3520142
 748  A*03:01:01-B*58:02:01-C*06:02:01-DRB1*04:01:01-DQB1*03:02:01-DPB1*15:01:01  South African Black 0.3520142
 749  A*03:01:01-B*58:02:01-C*06:02:01-DRB1*11:01:02-DQB1*02:01:01-DPB1*02:01:02  South African Black 0.3520142
 750  A*23:01:01-B*13:02:01-C*06:02:01-DRB1*13:01:01-DQB1*05:01:01-DPB1*104:01:01  South African Black 0.3520142
 751  A*23:01:01-B*45:01:01-C*06:02:01-DRB1*01:02:01-DQB1*03:19:01-DPB1*02:01:02  South African Black 0.3520142
 752  A*23:01:01-B*45:01:01-C*06:02:01-DRB1*04:05:01-DQB1*03:02:01-DPB1*105:01:01  South African Black 0.3520142
 753  A*23:17-B*58:02:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*02:01:02  South African Black 0.3520142
 754  A*26:01:01-B*58:02:01-C*06:02:01-DRB1*13:01:01-DQB1*06:04:01-DPB1*14:01:01  South African Black 0.3520142
 755  A*29:02:01-B*18:01:01-C*06:02:01-DRB1*03:02:01-DQB1*03:19:01-DPB1*105:01:01  South African Black 0.3520142
 756  A*29:02:01-B*44:03:02-C*06:02:01-DRB1*07:01:01-DQB1*03:19:01-DPB1*13:01:01  South African Black 0.3520142
 757  A*29:02:01-B*57:03:01-C*06:02:01-DRB1*01:02:01-DQB1*05:01:01-DPB1*104:01:01  South African Black 0.3520142
 758  A*29:02:01-B*58:02:01-C*06:02:01-DRB1*07:01:01-DQB1*06:02:01-DPB1*14:01:01  South African Black 0.3520142
 759  A*29:02:01-B*58:02:01-C*06:02:01-DRB1*12:01:01-DQB1*05:01:01-DPB1*18:01  South African Black 0.3520142
 760  A*29:11-B*13:02:01-C*06:02:01-DRB1*11:01:02-DQB1*03:19:01-DPB1*665:01  South African Black 0.3520142
 761  A*29:11-B*13:02:01-C*06:02:01-DRB1*12:01:01-DQB1*05:01:01-DPB1*01:01:01  South African Black 0.3520142
 762  A*29:11-B*13:02:01-C*06:02:01-DRB1*15:01:01-DQB1*06:03:01-DPB1*01:01:01  South African Black 0.3520142
 763  A*30:01:01-B*45:01:01-C*06:02:01-DRB1*11:02:01-DQB1*03:19:01-DPB1*18:01  South African Black 0.3520142
 764  A*30:01:01-B*58:02:01-C*06:02:01-DRB1*03:02:01-DQB1*06:02:01-DPB1*23:01:01  South African Black 0.3520142
 765  A*30:02:01-B*58:01:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:02  South African Black 0.3520142
 766  A*30:02:01-B*58:02:01-C*06:02:01-DRB1*12:01:01-DQB1*03:19:01-DPB1*18:01  South African Black 0.3520142
 767  A*32:106-B*58:02:01-C*06:02:01-DRB1*07:01:01-DQB1*04:02:01-DPB1*02:01:19  South African Black 0.3520142
 768  A*32:106-B*58:02:01-C*06:02:01-DRB1*08:04:01-DQB1*03:19:01-DPB1*105:01:01  South African Black 0.3520142
 769  A*34:02:01-B*58:02:01-C*06:02:01-DRB1*15:03:01-DQB1*06:03:01-DPB1*01:01:01  South African Black 0.3520142
 770  A*43:01-B*35:01:01-C*06:02:01-DRB1*13:01:01-DQB1*02:01:01-DPB1*01:01:01  South African Black 0.3520142
 771  A*43:01-B*42:01:01-C*06:02:01-DRB1*14:54:01-DQB1*06:02:01-DPB1*02:01:02  South African Black 0.3520142
 772  A*68:01:01-B*58:02:01-C*06:02:01-DRB1*12:01:01-DQB1*03:02:01-DPB1*18:01  South African Black 0.3520142
 773  A*68:01:01-B*58:02:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*01:01:01  South African Black 0.3520142
 774  A*68:02:01-B*45:01:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:19  South African Black 0.3520142
 775  A*68:02:01-B*58:02:01-C*06:02:01-DRB1*08:04:01-DQB1*06:02:01-DPB1*01:01:01  South African Black 0.3520142
 776  A*74:01:01-B*58:02:01-C*06:02:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*04:01:01  South African Black 0.3520142
 777  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*03:03  USA NMDP Middle Eastern or North Coast of Africa 0.351270,890
 778  A*11:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.350611,446
 779  A*01:01-B*57:01-C*06:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:01  Sri Lanka Colombo 0.3501714
 780  A*03:01-B*57:01-C*06:02  Italy pop 5 0.3500975
 781  A*24:02-B*50:01-C*06:02  Italy pop 5 0.3500975
 782  B*35:01-C*06:02  Italy pop 5 0.3500975
 783  A*01:01-B*35:01-C*06:02-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.3497143
 784  A*01:01-B*37:01-C*06:02-DRB1*13:02-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 785  A*01:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 786  A*03:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 787  A*11:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.3497143
 788  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 789  A*30:01-B*57:01-C*06:02-DRB1*01:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 790  A*68:01-B*37:01-C*06:02-DRB1*01:03-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 791  B*35:01-C*06:02  Mexico Mexico City Mestizo population 0.3497143
 792  B*35:01-C*06:02-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.3497143
 793  B*37:01-C*06:02-DRB1*01:03-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 794  B*37:01-C*06:02-DRB1*13:02-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 795  B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.3497143
 796  B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 797  B*57:01-C*06:02  Mexico Mexico City Mestizo population 0.3497143
 798  B*57:01-C*06:02-DRB1*01:01-DQB1*05:01  Mexico Mexico City Mestizo population 0.3497143
 799  A*01:01-B*18:01-C*06:02-DRB1*11:01  Brazil Vale do Ribeira Quilombos 0.3472144
 800  A*02:01-B*50:01-C*06:02-DRB1*03:01  Brazil Vale do Ribeira Quilombos 0.3472144

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 7,536) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 76  


   

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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