title: Set-up and routine use of a database of 10,555 genotyped blood donors to facilitate the screening of compatible blood components for alloimmunized patients.
abstract: OBJECTIVE
  Large-scale genotyping of blood donors for red blood cell and platelet antigens has been predicted to replace phenotyping assays in the screening of compatible blood components for alloimmunized patients. Although several genotyping platforms have been described, novel procedures and processes are needed to perform genotyping efficiently and to maximize its benefits for blood banks.
  
  
  METHODS
  Here we describe the processes and procedures developed to introduce large-scale genotyping in our routine operations.
  
  
  RESULTS
  Preliminary cost-benefit analysis indicated that genotyping must target frequent blood donors (> 3 donations/year) to be efficiently used. A custom-designed computer application was developed to manage the whole project. It selects frequent donors among recent donations, prints coded labels to identify blood samples sent to the external genotyping laboratory, and stores genotyping results. It can search for donors compatible for any combination of the 22 genotyped antigens as well as consult the current inventory for the presence of the corresponding blood components. The phenotype of recovered components is confirmed by standard serology techniques prior to shipment to hospitals.
  
  
  CONCLUSIONS
  Since October 2007, 10 555 blood donors have been genotyped. The database is used on a regular basis to find compatible blood components with a genotype-phenotype concordance of 99.6%.
authors.affiliation: Héma-Québec, Research and Development, Quebec City, Quebec, Canada.
authors.forename: J
authors.initials: J
authors.lastname: Perreault
authors.forename: J
authors.initials: J
authors.lastname: Lavoie
authors.forename: P
authors.initials: P
authors.lastname: Painchaud
authors.forename: M
authors.initials: M
authors.lastname: Côté
authors.forename: J
authors.initials: J
authors.lastname: Constanzo-Yanez
authors.forename: R
authors.initials: R
authors.lastname: Côté
authors.forename: G
authors.initials: G
authors.lastname: Delage
authors.forename: F
authors.initials: F
authors.lastname: Gendron
authors.forename: S
authors.initials: S
authors.lastname: Dubuc
authors.forename: B
authors.initials: B
authors.lastname: Caron
authors.forename: R
authors.initials: R
authors.lastname: Lemieux
authors.forename: M
authors.initials: M
authors.lastname: St-Louis
mesh_terms: D016913:Blood Component Transfusion / Q000191:economics*; D001782:Blood Donors; D001788:Blood Grouping and Crossmatching / Q000191:economics* / Q000379:methods*; D003201:Computers; D003365:Costs and Cost Analysis; D016208:Databases, Factual / Q000191:economics*; D046148:Donor Selection / Q000191:economics* / Q000379:methods*; D005260:Female; D005838:Genotype; D006801:Humans; D008297:Male; D011356:Product Labeling / Q000191:economics / Q000379:methods