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The Interface of Therapeutics and Genomics in Cardiovascular Medicine.
Magavern, E F; Kaski, J C; Turner, R M; Janmohamed, A; Borry, P; Pirmohamed, M.
  • Magavern EF; William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
  • Kaski JC; Department of Clinical Pharmacology, Cardiovascular Medicine, Barts Health NHS Trust, London, UK.
  • Turner RM; Molecular and Clinical Sciences Research Institute, St George's, University of London, Cranmer Terrace, London, SW17 0RE, UK. jkaski@sgul.ac.uk.
  • Janmohamed A; The Wolfson Centre for Personalised Medicine, Institute of Systems, Molecular and Integrative Biology (ISMIB), University of Liverpool, Liverpool, UK.
  • Borry P; Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK.
  • Pirmohamed M; Department of Clinical Pharmacology, St George's, University of London, London, UK.
Cardiovasc Drugs Ther ; 35(3): 663-676, 2021 06.
Article en En | MEDLINE | ID: mdl-33528719
ABSTRACT
Pharmacogenomics has a burgeoning role in cardiovascular medicine, from warfarin dosing to antiplatelet choice, with recent developments in sequencing bringing the promise of personalised medicine ever closer to the bedside. Further scientific evidence, real-world clinical trials, and economic modelling are needed to fully realise this potential. Additionally, tools such as polygenic risk scores, and results from Mendelian randomisation analyses, are only in the early stages of clinical translation and merit further investigation. Genetically targeted rational drug design has a strong evidence base and, due to the nature of genetic data, academia, direct-to-consumer companies, healthcare systems, and industry may meet in an unprecedented manner. Data sharing navigation may prove problematic. The present manuscript addresses these issues and concludes a need for further guidance to be provided to prescribers by professional bodies to aid in the consideration of such complexities and guide translation of scientific knowledge to personalised clinical action, thereby striving to improve patient care. Additionally, technologic infrastructure equipped to handle such large complex data must be adapted to pharmacogenomics and made user friendly for prescribers and patients alike.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Farmacogenética / Enfermedades Cardiovasculares / Medicina de Precisión / Investigación Biomédica Traslacional Tipo de estudio: Clinical_trials / Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Farmacogenética / Enfermedades Cardiovasculares / Medicina de Precisión / Investigación Biomédica Traslacional Tipo de estudio: Clinical_trials / Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article