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Calculation of the pharmacogenomics benefit score for patients with medication-related problems

Unexpected poor efficacy and intolerable adverse effects are medication-related problems that may result from genetic variation in genes encoding key proteins involved in pharmacokinetics or pharmacodynamics. Pharmacogenomic (PGx) testing can be used in medical practice “pre-emptively” to avoid futu...

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Detalles Bibliográficos
Autor principal: Polasek, Thomas M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196203/
https://www.ncbi.nlm.nih.gov/pubmed/37214415
http://dx.doi.org/10.3389/fgene.2023.1152585
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author Polasek, Thomas M.
author_facet Polasek, Thomas M.
author_sort Polasek, Thomas M.
collection PubMed
description Unexpected poor efficacy and intolerable adverse effects are medication-related problems that may result from genetic variation in genes encoding key proteins involved in pharmacokinetics or pharmacodynamics. Pharmacogenomic (PGx) testing can be used in medical practice “pre-emptively” to avoid future patient harm from medications and “reactively” to diagnose medication-related problems following their occurrence. A structured approach to PGx consulting is proposed to calculate the pharmacogenomics benefit score (PGxBS), a patient-centered objective measure of congruency between medication-related problems and patient genotypes. An example case of poor efficacy with multiple medications is presented, together with comments on the potential benefits and limitations of using the PGxBS in medical practice.
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spelling pubmed-101962032023-05-20 Calculation of the pharmacogenomics benefit score for patients with medication-related problems Polasek, Thomas M. Front Genet Genetics Unexpected poor efficacy and intolerable adverse effects are medication-related problems that may result from genetic variation in genes encoding key proteins involved in pharmacokinetics or pharmacodynamics. Pharmacogenomic (PGx) testing can be used in medical practice “pre-emptively” to avoid future patient harm from medications and “reactively” to diagnose medication-related problems following their occurrence. A structured approach to PGx consulting is proposed to calculate the pharmacogenomics benefit score (PGxBS), a patient-centered objective measure of congruency between medication-related problems and patient genotypes. An example case of poor efficacy with multiple medications is presented, together with comments on the potential benefits and limitations of using the PGxBS in medical practice. Frontiers Media S.A. 2023-05-05 /pmc/articles/PMC10196203/ /pubmed/37214415 http://dx.doi.org/10.3389/fgene.2023.1152585 Text en Copyright © 2023 Polasek. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Polasek, Thomas M.
Calculation of the pharmacogenomics benefit score for patients with medication-related problems
title Calculation of the pharmacogenomics benefit score for patients with medication-related problems
title_full Calculation of the pharmacogenomics benefit score for patients with medication-related problems
title_fullStr Calculation of the pharmacogenomics benefit score for patients with medication-related problems
title_full_unstemmed Calculation of the pharmacogenomics benefit score for patients with medication-related problems
title_short Calculation of the pharmacogenomics benefit score for patients with medication-related problems
title_sort calculation of the pharmacogenomics benefit score for patients with medication-related problems
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196203/
https://www.ncbi.nlm.nih.gov/pubmed/37214415
http://dx.doi.org/10.3389/fgene.2023.1152585
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