Literature DB >> 10840530

Clinical trials in pharmacogenetics and pharmacogenomics: methods and applications.

P P Rioux1.   

Abstract

Clinical and other aspects of pharmacogenetics and pharmacogenomics are discussed. Pharmacogenetics is the study of the impact of heritable traits on pharmacology and toxicology. An extension of pharmacogenetics is the discovery that genetic polymorphisms have the potential to affect a drug's action. The interplay of genotype and drug efficacy has been defined as pharmacogenomics. For most drugs, variations in patient response have until recently been considered a result of pharmacokinetic rather than pharmacodynamic differences. However, it now seems that pharmacodynamic variability in humans is large, reproducible, and usually more pronounced than pharmacokinetic variability. Some examples of the impact of pharmacogenomics on pharmacokinetics involve cytochrome P-450 isoenzymes, dihydropyrimidine dehydrogenase, and thiopurine methyltransferase; some examples of the impact on pharmacodynamics involve cholesteryl ester transfer protein, angiotensin-converting enzyme, and serotonin transporter. There are no specific statistical techniques for analyzing data from pharmacogenomic clinical trials. However, a tabulated relationship for the determination of the maximum possible gain in response rate for the highest-responding genotypic subgroup of patients is provided as an aid to determining whether it is worth having a pharmacogenomic strategy for a given drug. Ethical issues in pharmacogenomics tend to be based on the general concern that the ability to diagnose a genetic disorder before any treatment is available does more harm than good to the patient. Pharmacogenomic approaches to drug discovery and delivery have been recognized by FDA. Pharmacogenomics cannot improve the efficacy of a given drug, but it helps in selecting patients who are likely to respond well. Pharmacogenomics provides a view of drug behavior and sensitivity useful to improving the efficacy of drug development and utilization.

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Year:  2000        PMID: 10840530     DOI: 10.1093/ajhp/57.9.887

Source DB:  PubMed          Journal:  Am J Health Syst Pharm        ISSN: 1079-2082            Impact factor:   2.637


  15 in total

1.  Assessing the cost-effectiveness of pharmacogenomics.

Authors:  D L Veenstra; M K Higashi; K A Phillips
Journal:  AAPS PharmSci       Date:  2000

2.  Pharmacogenetics and pharmacogenomics: recent developments, their clinical relevance and some ethical, social, and legal implications.

Authors:  Paul W Norbert; Allen D Roses
Journal:  J Mol Med (Berl)       Date:  2003-03       Impact factor: 4.599

Review 3.  The role of cost-effectiveness analysis in the era of pharmacogenomics.

Authors:  Christopher R Flowers; David Veenstra
Journal:  Pharmacoeconomics       Date:  2004       Impact factor: 4.981

4.  Rational use of medicines--an important issue in pharmaceutical policy.

Authors:  Anna Birna Almarsdóttir; Janine M Traulsen
Journal:  Pharm World Sci       Date:  2005-04

Review 5.  Human pharmacogenomic variations and their implications for antifungal efficacy.

Authors:  Joseph Meletiadis; Stephen Chanock; Thomas J Walsh
Journal:  Clin Microbiol Rev       Date:  2006-10       Impact factor: 26.132

Review 6.  Personalized medicine: Genetic risk prediction of drug response.

Authors:  Ge Zhang; Daniel W Nebert
Journal:  Pharmacol Ther       Date:  2017-02-14       Impact factor: 12.310

7.  Pharmacogenetic/Pharmacogenomic Tests for Treatment Prediction in Depression.

Authors:  Farhana Islam; Ilona Gorbovskaya; Daniel J Müller
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

Review 8.  Genomic translational research: Paving the way to individualized cardiac functional analyses and personalized cardiology.

Authors:  Ares Pasipoularides
Journal:  Int J Cardiol       Date:  2016-12-21       Impact factor: 4.164

Review 9.  Pharmacogenetics: the therapeutic drug monitoring of the future?

Authors:  M H Ensom; T K Chang; P Patel
Journal:  Clin Pharmacokinet       Date:  2001       Impact factor: 5.577

Review 10.  Genotyping of drug targets: a method to predict adverse drug reactions?

Authors:  Cüneyt Güzey; Olav Spigset
Journal:  Drug Saf       Date:  2002       Impact factor: 5.228

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