Literature DB >> 22742397

Clinical application of cardiovascular pharmacogenetics.

Deepak Voora1, Geoffrey S Ginsburg.   

Abstract

Pharmacogenetics primarily uses genetic variation to identify subgroups of patients who may respond differently to a certain medication. Since its first description, the field of pharmacogenetics has expanded to study a broad range of cardiovascular drugs and has become a mainstream research discipline. Three principle classes of pharmacogenetic markers have emerged: 1) pharmacokinetic; 2) pharmacodynamic; and 3) underlying disease mechanism. In the realm of cardiovascular pharmacogenetics, significant advances have identified markers in each class for a variety of therapeutics, some with a potential for improving patient outcomes. While ongoing clinical trials will determine if routine use of pharmacogenetic testing may be beneficial, the data today support pharmacogenetic testing for certain variants on an individualized, case-by-case basis. Our primary goal is to review the association data for the major pharmacogenetic variants associated with commonly used cardiovascular medications: antiplatelet agents, warfarin, statins, beta-blockers, diuretics, and antiarrhythmic drugs. In addition, we highlight which variants and in which contexts pharmacogenetic testing can be implemented by practicing clinicians. The pace of genetic discovery has outstripped the generation of the evidence justifying its clinical adoption. Until the evidentiary gaps are filled, however, clinicians may choose to target therapeutics to individual patients whose genetic background indicates that they stand to benefit the most from pharmacogenetic testing.
Copyright © 2012 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22742397     DOI: 10.1016/j.jacc.2012.01.067

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  19 in total

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2.  Genetic influences on aspirin response in patients undergoing percutaneous coronary intervention.

Authors:  Kevin A Friede; Deepak Voora
Journal:  Cardiovasc Res       Date:  2019-08-01       Impact factor: 10.787

3.  Future translational applications from the contemporary genomics era: a scientific statement from the American Heart Association.

Authors:  Caroline S Fox; Jennifer L Hall; Donna K Arnett; Euan A Ashley; Christian Delles; Mary B Engler; Mason W Freeman; Julie A Johnson; David E Lanfear; Stephen B Liggett; Aldons J Lusis; Joseph Loscalzo; Calum A MacRae; Kiran Musunuru; L Kristin Newby; Christopher J O'Donnell; Stephen S Rich; Andre Terzic
Journal:  Circulation       Date:  2015-04-16       Impact factor: 29.690

4.  Warfarin Therapy: Survey of Patients' Knowledge of their Drug Regimen.

Authors:  Waqas Shuaib; Hira Iftikhar; Richard Alweis; Hassan Shahid
Journal:  Malays J Med Sci       Date:  2014-07

Review 5.  Drug-induced arrhythmia: pharmacogenomic prescribing?

Authors:  Elijah R Behr; Dan Roden
Journal:  Eur Heart J       Date:  2012-10-22       Impact factor: 29.983

Review 6.  Highlights of the year in JACC 2012.

Authors:  Anthony N DeMaria; Jeroen J Bax; Gregory K Feld; Barry H Greenberg; Jennifer L Hall; Mark A Hlatky; Wilbur Y W Lew; João A C Lima; Ehtisham Mahmud; Alan S Maisel; Sanjiv M Narayan; Steven E Nissen; David J Sahn; Sotirios Tsimikas
Journal:  J Am Coll Cardiol       Date:  2013-01-22       Impact factor: 24.094

Review 7.  Gene Expression Signatures and the Spectrum of Coronary Artery Disease.

Authors:  Kevin A Friede; Geoffrey S Ginsburg; Deepak Voora
Journal:  J Cardiovasc Transl Res       Date:  2015-06-19       Impact factor: 4.132

8.  Pharmacogenomics Informs Cardiovascular Pharmacotherapy.

Authors:  Mariana Babayeva; Brigitte Azzi; Zvi G Loewy
Journal:  Methods Mol Biol       Date:  2022

9.  The development and validation of a decision-analytic model representing the full disease course of acute myeloid leukemia.

Authors:  Annemieke Leunis; W Ken Redekop; Kees A G M van Montfort; Bob Löwenberg; Carin A Uyl-de Groot
Journal:  Pharmacoeconomics       Date:  2013-07       Impact factor: 4.981

10.  The genetic basis for survivorship in coronary artery disease.

Authors:  Jennifer R Dungan; Elizabeth R Hauser; Xuejun Qin; William E Kraus
Journal:  Front Genet       Date:  2013-09-27       Impact factor: 4.599

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