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Antidepressant prescribing in the precision medicine era: a prescriber’s primer on pharmacogenetic tools

About half of people who take antidepressants do not respond and many experience adverse effects. These detrimental outcomes are in part a result of the impact of an individual’s genetic profile on pharmacokinetics and pharmcodynamics. If known and made available to clinicians, this could improve de...

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Autores principales: Bousman, Chad A., Forbes, Malcolm, Jayaram, Mahesh, Eyre, Harris, Reynolds, Charles F., Berk, Michael, Hopwood, Malcolm, Ng, Chee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5299682/
https://www.ncbi.nlm.nih.gov/pubmed/28178974
http://dx.doi.org/10.1186/s12888-017-1230-5
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author Bousman, Chad A.
Forbes, Malcolm
Jayaram, Mahesh
Eyre, Harris
Reynolds, Charles F.
Berk, Michael
Hopwood, Malcolm
Ng, Chee
author_facet Bousman, Chad A.
Forbes, Malcolm
Jayaram, Mahesh
Eyre, Harris
Reynolds, Charles F.
Berk, Michael
Hopwood, Malcolm
Ng, Chee
author_sort Bousman, Chad A.
collection PubMed
description About half of people who take antidepressants do not respond and many experience adverse effects. These detrimental outcomes are in part a result of the impact of an individual’s genetic profile on pharmacokinetics and pharmcodynamics. If known and made available to clinicians, this could improve decision-making and antidepressant therapy outcomes. This has spurred the development of numerous pharmacogenetic-based decision support tools. In this article, we provide an overview of pharmacogenetic decision support tools, with particular focus on tools relevant to antidepressants. We briefly describe the evolution and current state of antidepressant pharmacogenetic decision support tools in clinical practice, followed by the evidence-base for their use. Finally, we present a series of considerations for clinicians contemplating use of these tools and discuss the future of antidepressant pharmacogenetic decision support tools.
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spelling pubmed-52996822017-02-13 Antidepressant prescribing in the precision medicine era: a prescriber’s primer on pharmacogenetic tools Bousman, Chad A. Forbes, Malcolm Jayaram, Mahesh Eyre, Harris Reynolds, Charles F. Berk, Michael Hopwood, Malcolm Ng, Chee BMC Psychiatry Review About half of people who take antidepressants do not respond and many experience adverse effects. These detrimental outcomes are in part a result of the impact of an individual’s genetic profile on pharmacokinetics and pharmcodynamics. If known and made available to clinicians, this could improve decision-making and antidepressant therapy outcomes. This has spurred the development of numerous pharmacogenetic-based decision support tools. In this article, we provide an overview of pharmacogenetic decision support tools, with particular focus on tools relevant to antidepressants. We briefly describe the evolution and current state of antidepressant pharmacogenetic decision support tools in clinical practice, followed by the evidence-base for their use. Finally, we present a series of considerations for clinicians contemplating use of these tools and discuss the future of antidepressant pharmacogenetic decision support tools. BioMed Central 2017-02-08 /pmc/articles/PMC5299682/ /pubmed/28178974 http://dx.doi.org/10.1186/s12888-017-1230-5 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Review
Bousman, Chad A.
Forbes, Malcolm
Jayaram, Mahesh
Eyre, Harris
Reynolds, Charles F.
Berk, Michael
Hopwood, Malcolm
Ng, Chee
Antidepressant prescribing in the precision medicine era: a prescriber’s primer on pharmacogenetic tools
title Antidepressant prescribing in the precision medicine era: a prescriber’s primer on pharmacogenetic tools
title_full Antidepressant prescribing in the precision medicine era: a prescriber’s primer on pharmacogenetic tools
title_fullStr Antidepressant prescribing in the precision medicine era: a prescriber’s primer on pharmacogenetic tools
title_full_unstemmed Antidepressant prescribing in the precision medicine era: a prescriber’s primer on pharmacogenetic tools
title_short Antidepressant prescribing in the precision medicine era: a prescriber’s primer on pharmacogenetic tools
title_sort antidepressant prescribing in the precision medicine era: a prescriber’s primer on pharmacogenetic tools
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5299682/
https://www.ncbi.nlm.nih.gov/pubmed/28178974
http://dx.doi.org/10.1186/s12888-017-1230-5
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