Pharmacogenomics Beyond Single Common Genetic Variants: The Way Forward.


Journal

Annual review of pharmacology and toxicology
ISSN: 1545-4304
Titre abrégé: Annu Rev Pharmacol Toxicol
Pays: United States
ID NLM: 7607088

Informations de publication

Date de publication:
28 Jul 2023
Historique:
medline: 28 7 2023
pubmed: 28 7 2023
entrez: 28 7 2023
Statut: aheadofprint

Résumé

Interindividual variability in genes encoding drug-metabolizing enzymes, transporters, receptors, and human leukocyte antigens has a major impact on a patient's response to drugs with regard to efficacy and safety. Enabled by both technological and conceptual advances, the field of pharmacogenomics is developing rapidly. Major progress in omics profiling methods has enabled novel genotypic and phenotypic characterization of patients and biobanks. These developments are paralleled by advances in machine learning, which have allowed us to parse the immense wealth of data and establish novel genetic markers and polygenic models for drug selection and dosing. Pharmacogenomics has recently become more widespread in clinical practice to personalize treatment and to develop new drugs tailored to specific patient populations. In this review, we provide an overview of the latest developments in the field and discuss the way forward, including how to address the missing heritability, develop novel polygenic models, and further improve the clinical implementation of pharmacogenomics. Expected final online publication date for the

Identifiants

pubmed: 37506333
doi: 10.1146/annurev-pharmtox-051921-091209
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Volker M Lauschke (VM)

Dr. Margarete Fischer-Bosch Institute for Clinical Pharmacology, Stuttgart, Germany.
Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden; email: magnus.ingelman-sundberg@ki.se.
Tübingen University, Tübingen, Germany.

Yitian Zhou (Y)

Dr. Margarete Fischer-Bosch Institute for Clinical Pharmacology, Stuttgart, Germany.
Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden; email: magnus.ingelman-sundberg@ki.se.
Tübingen University, Tübingen, Germany.

Magnus Ingelman-Sundberg (M)

Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden; email: magnus.ingelman-sundberg@ki.se.

Classifications MeSH