Literature DB >> 11701642

Pharmacogenomics: the inherited basis for interindividual differences in drug response.

W E Evans1, J A Johnson.   

Abstract

It is well recognized that most medications exhibit wide interpatient variability in their efficacy and toxicity. For many medications, these interindividual differences are due in part to polymorphisms in genes encoding drug metabolizing enzymes, drug transporters, and/or drug targets (e.g., receptors, enzymes). Pharmacogenomics is a burgeoning field aimed at elucidating the genetic basis for differences in drug efficacy and toxicity, and it uses genome-wide approaches to identify the network of genes that govern an individual's response to drug therapy. For some genetic polymorphisms (e.g., thiopurine S-methyltransferase), monogenic traits have a marked effect on pharmacokinetics (e.g., drug metabolism), such that individuals who inherit an enzyme deficiency must be treated with markedly different doses of the affected medications (e.g., 5%-10% of the standard thiopurine dose). Likewise, polymorphisms in drug targets (e.g., beta adrenergic receptor) can alter the sensitivity of patients to treatment (e.g., beta-agonists), changing the pharmacodynamics of drug response. Recognizing that most drug effects are determined by the interplay of several gene products that govern the pharmacokinetics and pharmacodynamics of medications, pharmacogenomics research aims to elucidate these polygenic determinants of drug effects. The ultimate goal is to provide new strategies for optimizing drug therapy based on each patient's genetic determinants of drug efficacy and toxicity. This chapter provides an overview of the current pharmacogenomics literature and offers insights for the potential impact of this field on the safe and effective use of medications.

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Year:  2001        PMID: 11701642     DOI: 10.1146/annurev.genom.2.1.9

Source DB:  PubMed          Journal:  Annu Rev Genomics Hum Genet        ISSN: 1527-8204            Impact factor:   8.929


  66 in total

1.  Accelerating drug discovery.

Authors:  Sandra Kraljevic; Peter J Stambrook; Kresimir Pavelic
Journal:  EMBO Rep       Date:  2004-09       Impact factor: 8.807

2.  A statistical approach to scanning the biomedical literature for pharmacogenetics knowledge.

Authors:  Daniel L Rubin; Caroline F Thorn; Teri E Klein; Russ B Altman
Journal:  J Am Med Inform Assoc       Date:  2004-11-23       Impact factor: 4.497

3.  Theoretical basis for the identification of allelic variants that encode drug efficacy and toxicity.

Authors:  Min Lin; Rongling Wu
Journal:  Genetics       Date:  2005-03-31       Impact factor: 4.562

4.  Personalized drug therapy; the genome, the chip and the physician.

Authors:  Lionel D Lewis
Journal:  Br J Clin Pharmacol       Date:  2005-07       Impact factor: 4.335

5.  The high prevalence of the poor and ultrarapid metabolite alleles of CYP2D6, CYP2C9, CYP2C19, CYP3A4, and CYP3A5 in Taiwanese population.

Authors:  Ya-Huei Liou; Chien-Ting Lin; Ying-Jye Wu; Lawrence Shih-Hsin Wu
Journal:  J Hum Genet       Date:  2006-08-19       Impact factor: 3.172

6.  Improper adjustment for baseline in genetic association studies of change in phenotype.

Authors:  P F McArdle; B W Whitcomb
Journal:  Hum Hered       Date:  2008-12-15       Impact factor: 0.444

7.  A combined-cross analysis reveals genes with drug-specific and background-dependent effects on drug sensitivity in Saccharomyces cerevisiae.

Authors:  Hyun Seok Kim; Justin C Fay
Journal:  Genetics       Date:  2009-08-31       Impact factor: 4.562

8.  Detection and prevention of prescriptions with excessive doses in electronic prescribing systems.

Authors:  H M Seidling; A Al Barmawi; J Kaltschmidt; T Bertsche; M G Pruszydlo; W E Haefeli
Journal:  Eur J Clin Pharmacol       Date:  2007-09-05       Impact factor: 2.953

Review 9.  Data-driven methods to discover molecular determinants of serious adverse drug events.

Authors:  A P Chiang; A J Butte
Journal:  Clin Pharmacol Ther       Date:  2009-01-28       Impact factor: 6.875

Review 10.  Pharmacogenomics: a new paradigm to personalize treatments in nephrology patients.

Authors:  G Zaza; S Granata; F Sallustio; G Grandaliano; F P Schena
Journal:  Clin Exp Immunol       Date:  2009-11-24       Impact factor: 4.330

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