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Insights into pharmacogenetics, drug-gene interactions, and drug-drug-gene interactions.
Russell, Laura E; Claw, Katrina G; Aagaard, Kaja M; Glass, Sarah M; Dasgupta, Kuheli; Nez, F Leah; Haimbaugh, Alex; Maldonato, Benjamin J; Yadav, Jaydeep.
Afiliação
  • Russell LE; Drug Metabolism and Pharmacokinetics, AbbVie Inc, North Chicago, IL, USA.
  • Claw KG; Division of Biomedical Informatics and Personalized Medicine, CO Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Aagaard KM; Division of Biomedical Informatics and Personalized Medicine, CO Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Glass SM; Preclinical Sciences and Translational Safety, Janssen Research &Development, San Diego, CA, USA.
  • Dasgupta K; Department of Molecular Genetics, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
  • Nez FL; Division of Biomedical Informatics and Personalized Medicine, CO Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Haimbaugh A; Division of Biomedical Informatics and Personalized Medicine, CO Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Maldonato BJ; Department of Nonclinical Development and Clinical Pharmacology, Revolution Medicines, Inc, Redwood City, CA, USA.
  • Yadav J; Department of Pharmacokinetics, Dynamics, Metabolism, and Bioanalytics, Merck & Co., Inc, Boston, MA, USA.
Drug Metab Rev ; : 1-19, 2024 Aug 18.
Article em En | MEDLINE | ID: mdl-39154360
ABSTRACT
This review explores genetic contributors to drug interactions, known as drug-gene and drug-drug-gene interactions (DGI and DDGI, respectively). This article is part of a mini-review issue led by the International Society for the Study of Xenobiotics (ISSX) New Investigators Group. Pharmacogenetics (PGx) is the study of the impact of genetic variation on pharmacokinetics (PK), pharmacodynamics (PD), and adverse drug reactions. Genetic variation in pharmacogenes, including drug metabolizing enzymes and drug transporters, is common and can increase the risk of adverse drug events or contribute to reduced efficacy. In this review, we summarize clinically actionable genetic variants, and touch on methodologies such as genotyping patient DNA to identify genetic variation in targeted genes, and deep mutational scanning as a high-throughput in vitro approach to study the impact of genetic variation on protein function and/or expression in vitro. We highlight the utility of physiologically based pharmacokinetic (PBPK) models to integrate genetic and chemical inhibitor and inducer data for more accurate human PK simulations. Additionally, we analyze the limitations of historical ethnic descriptors in pharmacogenomics research. Altogether, the work herein underscores the importance of identifying and understanding complex DGI and DDGIs with the intention to provide better treatment outcomes for patients. We also highlight current barriers to wide-scale implementation of PGx-guided dosing as standard or care in clinical settings.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article