Pharmacogenomic testing for antidepressant treatment selection: lessons learned and roadmap forward.


Journal

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
ISSN: 1740-634X
Titre abrégé: Neuropsychopharmacology
Pays: England
ID NLM: 8904907

Informations de publication

Date de publication:
Jan 2024
Historique:
received: 23 03 2023
accepted: 11 07 2023
revised: 23 06 2023
medline: 11 12 2023
pubmed: 8 8 2023
entrez: 7 8 2023
Statut: ppublish

Résumé

Pharmacogenomic technology is a developing field with enthusiastic interest and broad application potential. Three large, controlled studies have been published exploring the benefit of pharmacogenomically guided antidepressant treatment selection. Though all three studies did not show significant benefit of using this technology, these studies laid the foundation for further research that should address the limitations of this previous research and currently available commercial platforms. Future research needs to include large scale pharmacogenomic trials with GWAS analytics across diverse groups with attention to cost-effectiveness models, particularly for cases of treatment resistance and polypharmacy. The application of results from these large scale pharmacogenomic trials must also include exploring optimal EHR user interface design.

Identifiants

pubmed: 37550439
doi: 10.1038/s41386-023-01667-4
pii: 10.1038/s41386-023-01667-4
pmc: PMC10700565
doi:

Substances chimiques

Antidepressive Agents 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

282-284

Informations de copyright

© 2023. The Author(s).

Références

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Auteurs

Mark A Frye (MA)

Department of Psychiatry & Psychology, Mayo Clinic, Mayo Clinic Alix School of Medicine, Rochester, MN, USA. mfrye@mayo.edu.

Charles B Nemeroff (CB)

Department of Psychiatry & Behavioral Sciences, University of Texas at Austin Dell Medical School, Austin, TX, USA.

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Classifications MeSH