title: Database analysis and gene discovery in pharmacogenetics.
abstract: The global genome research effort has resulted in the creation of extensive DNA and protein sequence databases that are a valuable resource for the identification of new genes and polymorphic variants of enzymes of pharmacogenetic interest. Previously undescribed members of gene families with novel functions and substrate specificities can be identified by database searching and sequence alignment strategies. Since the expressed sequence tag (EST) database contains sequences from many individuals, it can be searched for evidence of polymorphisms that can significantly influence enzyme function. The different approaches to these forms of analysis are reviewed and illustrated with examples from the glutathione transferase gene family.
authors.affiliation: Molecular Genetics Group, John Curtin School of Medical Research, Australian National University, Canberra, ACT. Philip.Board@anu.edu.au
authors.forename: P
authors.initials: P
authors.lastname: Board
authors.forename: N
authors.initials: N
authors.lastname: Tetlow
authors.forename: A
authors.initials: A
authors.lastname: Blackburn
authors.forename: G
authors.initials: G
authors.lastname: Chelvanayagam
mesh_terms: D000818:Animals; D001483:Base Sequence; D004247:DNA / Q000737:chemistry / Q000235:genetics*; D016208:Databases, Factual; D020224:Expressed Sequence Tags; D006801:Humans; D008969:Molecular Sequence Data; D010597:Pharmacogenetics; D010802:Phylogeny; D010944:Plants / Q000235:genetics; D011110:Polymorphism, Genetic; D011506:Proteins / Q000737:chemistry / Q000235:genetics*; D016415:Sequence Alignment
chemical_list: D011506:Proteins; D004247:DNA