Literature DB >> 17664254

A pharmacogenomics primer.

Michael H Court1.   

Abstract

The human genome project and related research initiatives have enabled the identification of a significant number of genetic variants that are predictive of drug response and outcome (pharmacogenomic biomarkers). As yet, incorporation of routine pharmacogenomic testing into clinical practice has been relatively modest. Potential barriers to adoption include a relative lack of prospective controlled trials establishing the benefits of such testing, economic constraints, and ethical concerns, among others. Clinicians considering the use of pharmacogenomic testing in their practice also may be unfamiliar with the concepts and principles underlying this rapidly evolving discipline. Consequently, the purpose of this review is to provide the clinical pharmacologist with a primer on the principles and molecular mechanisms underlying pharmacogenomics. In addition, the methods currently being used to discover novel pharmacogenomic biomarkers and then apply these to clinical practice will be described.

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Year:  2007        PMID: 17664254     DOI: 10.1177/0091270007303768

Source DB:  PubMed          Journal:  J Clin Pharmacol        ISSN: 0091-2700            Impact factor:   3.126


  6 in total

1.  Pharmacogenetics: implementing personalized medicine.

Authors:  Enrico Mini; Stefania Nobili
Journal:  Clin Cases Miner Bone Metab       Date:  2009-01

Review 2.  Systems approaches to polypharmacology and drug discovery.

Authors:  Aislyn D W Boran; Ravi Iyengar
Journal:  Curr Opin Drug Discov Devel       Date:  2010-05

Review 3.  Genetic Variants and Drug Efficacy in Tuberculosis: A Step toward Personalized Therapy.

Authors:  Almas Khan; Mohammad Abbas; Sushma Verma; Shrikant Verma; Aliya Abbas Rizvi; Fareya Haider; Syed Tasleem Raza; Farzana Mahdi
Journal:  Glob Med Genet       Date:  2022-02-25

4.  Systems pharmacology and genome medicine: a future perspective.

Authors:  Aislyn D Wist; Seth I Berger; Ravi Iyengar
Journal:  Genome Med       Date:  2009-01-22       Impact factor: 11.117

5.  Using expression and genotype to predict drug response in yeast.

Authors:  Douglas M Ruderfer; David C Roberts; Stuart L Schreiber; Ethan O Perlstein; Leonid Kruglyak
Journal:  PLoS One       Date:  2009-09-04       Impact factor: 3.240

6.  Implementing Pharmacogenomics at Your Institution: Establishment and Overcoming Implementation Challenges.

Authors:  M J Arwood; S Chumnumwat; L H Cavallari; E A Nutescu; J D Duarte
Journal:  Clin Transl Sci       Date:  2016-06-14       Impact factor: 4.689

  6 in total

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