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A Genomic “Roadmap” to “Better” Drugs 

Authors: Guochun Liao a;  Xun Zhang a;  David J. Clark bc; Gary Peltz a
Affiliations:   a Department of Genetics & Genomics, Roche Palo Alto, Palo Alto, California, USA
b Stanford University Department of Anesthesiology, Palo Alto, California, USA
c Veterans Affairs Palo Alto Health Care System, Palo Alto, California, USA
DOI: 10.1080/03602530801952815
Publication Frequency: 4 issues per year
Published in: journal Drug Metabolism Reviews, Volume 40, Issue 2 April 2008 , pages 225 - 239
Formats available: HTML (English) : PDF (English)
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Abstract

Utilization of pharmacogenomic information has the potential to significantly improve treatment outcome and markedly reduce the rate of attrition of drugs in clinical development. A major gap that limits our ability to utilize pharmacogenomic information in drug discovery, drug development or clinical practice is that we often do not know the genetic variants responsible for inter-individual differences in drug metabolism or drug response. We examine emerging genomic methods that can fill this gap; these methods can be used to generate new information about drug metabolism or mechanism of action, or to identify predictors of drug response. Although they have not yet had their full impact, a wider application of these emerging genomic technologies has the potential to significantly improve the safety of drugs, the quality of patient care and the efficiency of clinical drug development.
Keywords: Pharmacogenetics; Computational Genetics; In silico pharmacogenetics
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