Essra Youssef
Pharmacogenetics: optimising prescribing in primary care
Youssef, Essra; Thornley, Tracey; Guchelaar, Henk‐Jan; Wright, David J
Authors
Professor TRACEY THORNLEY Tracey.Thornley1@nottingham.ac.uk
Professor of Health Policy
Henk‐Jan Guchelaar
David J Wright
Abstract
Pharmacogenetic (PGx) testing to personalise prescribing of certain medicines can improve patient outcomes and reduce adverse drug reactions. This article summarises the key findings of the PGx Impact study, designed to estimate the impact of pre‐emptive genetic testing on prescribing, and discusses potential ways in which pharmacogenetic testing may optimise primary care prescribing in the near future.
Citation
Youssef, E., Thornley, T., Guchelaar, H., & Wright, D. J. (2022). Pharmacogenetics: optimising prescribing in primary care. Prescriber, 33(5), 10-13. https://doi.org/10.1002/psb.1982
Journal Article Type | Article |
---|---|
Acceptance Date | May 13, 2022 |
Online Publication Date | May 18, 2022 |
Publication Date | 2022-05 |
Deposit Date | Jan 16, 2023 |
Publicly Available Date | May 19, 2023 |
Journal | Prescriber |
Print ISSN | 0959-6682 |
Electronic ISSN | 1931-2253 |
Publisher | Wiley |
Peer Reviewed | Peer Reviewed |
Volume | 33 |
Issue | 5 |
Pages | 10-13 |
DOI | https://doi.org/10.1002/psb.1982 |
Keywords | Pharmacology (medical), Pharmacology (nursing) |
Public URL | https://nottingham-repository.worktribe.com/output/16218556 |
Publisher URL | https://wchh.onlinelibrary.wiley.com/doi/10.1002/psb.1982 |
Files
Genetic Testing To Optimise Prescribing Article
(275 Kb)
PDF
You might also like
A CROSS-SECTIONAL STUDY TO EXPLORE THE PRESCRIBING OF DRUGS WITH POTENTIAL DRUG GENE INTERACTIONS IN IRISH PRIMARY CARE
(2023)
Presentation / Conference Contribution
Engaging trainee pharmacists in schools’ outreach and science communication through the UKHSA ‘Antibiotic Guardian Schools Ambassadors' initiative
(2023)
Presentation / Conference Contribution
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search