title: Evaluating NAT2PRED for inferring the individual acetylation status from unphased genotype data.
abstract: BACKGROUND
  Genetically determined differences in N-acetylation capacity have proved to be important determinants of both the effectiveness of therapeutic response and the development of adverse drug reactions and toxicity during drug treatment. NAT2PRED is a web-server that allows a fast determination of NAT2 acetylation phenotype from genotype data without taking the extra step of reconstructing haplotypes for each individual (publicly available at http://nat2pred.rit.albany.edu). However, the classification accuracy of NAT2PRED needs to be assessed before its application can be advocated at a large scale.
  
  
  METHODS
  The ability of NAT2PRED to classify individuals according to their acetylation status (slow, intermediate and rapid acetylators) was evaluated in a worldwide dataset composed of 56 population samples (8,489 individuals) from four continental regions.
  
  
  RESULTS
  NAT2PRED correctly identified slow acetylators with a sensitivity above 99% for all populations outside sub-Saharan Africa. Nevertheless, NAT2PRED showed a poor ability to distinguish between intermediate and rapid acetylators, with a classification error rate reaching up to 10% in the non-African samples.
  
  
  CONCLUSIONS
  NAT2PRED is an excellent tool to infer the individual acetylation status from NAT2 genotype data when the main interest is to distinguish slow acetylators from the others. This should facilitate the determination of the individual acetylation status in routine clinical practice and lead to better monitoring of risks associated with cancer and adverse drug reactions.
authors.affiliation: INSERM UMR745, Faculty of Pharmacy, University of Paris Descartes, Paris, France. audrey.sabbagh@parisdescartes.fr
authors.forename: Audrey
authors.initials: A
authors.lastname: Sabbagh
authors.forename: Pierre
authors.initials: P
authors.lastname: Darlu
authors.forename: Michel
authors.initials: M
authors.lastname: Vidaud
mesh_terms: D000107:Acetylation; D001191:Arylamine N-Acetyltransferase / Q000235:genetics*; D030541:Databases, Genetic; D005838:Genotype; D006801:Humans; D020407:Internet; D020641:Polymorphism, Single Nucleotide
chemical_list: D001191:Arylamine N-Acetyltransferase; C478900:NAT2 protein, human