title: Pharmacogenomics and drug development.
abstract: It is generally anticipated that pharmacogenomic information will have a large impact on drug development and will facilitate individualized drug treatment. However, there has been relatively little quantitative modeling to assess how pharmacogenomic information could be best utilized in clinical practice. Using a quantitative model, this review demonstrates that efficacy is increased and toxicity is reduced when a genetically-guided dose adjustment strategy is utilized in a clinical trial. However, there is limited information available regarding the genetic variables affecting the disposition or mechanism of action of most commonly used medications. These genetic factors must be identified to enable pharmacogenomic testing to be routinely used in the clinic. A recently described murine haplotype-based computational genetic analysis method provides one strategy for identifying genetic factors regulating the pharmacokinetics and pharmacodynamics of commonly used medications.
authors.affiliation: Roche Palo Alto, Department of Genetics and Genomics, S3-1, 3431 Hillview Ave, Palo Alto, CA 94304, USA.
authors.forename: Yingying
authors.initials: Y
authors.lastname: Guo
authors.forename: Steven
authors.initials: S
authors.lastname: Shafer
authors.forename: Paul
authors.initials: P
authors.lastname: Weller
authors.forename: Jonathan
authors.initials: J
authors.lastname: Usuka
authors.forename: Gary
authors.initials: G
authors.lastname: Peltz
mesh_terms: D000818:Animals; D015195:Drug Design; D006801:Humans; D008957:Models, Genetic; D004364:Pharmaceutical Preparations / Q000008:administration & dosage; D010597:Pharmacogenetics / Q000639:trends*; D010600:Pharmacology / Q000639:trends*
chemical_list: D004364:Pharmaceutical Preparations