Projects per year
Abstract
Identification of unintended drug effects, specifically drug repurposing opportunities and adverse drug events, maximizes the benefit of a drug and protects the health of patients. However, current observational research methods are subject to several biases. These include confounding by indication, reverse causality and missing data. We propose that Mendelian randomization (MR) offers a novel approach for the prediction of unintended drug effects. In particular, we advocate the synthesis of evidence from this method and other approaches, in the spirit of triangulation, to improve causal inferences concerning drug effects. MR addresses some of the limitations associated with the existing methods in this field. Furthermore, it can be applied either before or after approval of the drug, and could therefore prevent the potentially harmful exposure of patients in clinical trials and beyond. The potential of MR as a pharmacovigilance and drug repurposing tool is yet to be realized, and could both help prevent adverse drug events and identify novel indications for existing drugs in the future.
Original language | English |
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Pages (from-to) | 2078-2089 |
Number of pages | 12 |
Journal | International Journal of Epidemiology |
Volume | 46 |
Issue number | 6 |
Early online date | 11 Oct 2017 |
DOIs | |
Publication status | Published - 1 Dec 2017 |
Keywords
- Adverse drug events
- Drug repurposing
- Mendelian randomization
- Pharmacovigilance
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Dive into the research topics of 'Mendelian randomization: A novel approach for the prediction of adverse drug events and drug repurposing opportunities'. Together they form a unique fingerprint.Projects
- 2 Finished
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MRC UoB UNITE Unit - Programme 1
Davey Smith, G. (Principal Investigator)
1/06/13 → 31/03/18
Project: Research
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IEU Theme 3
Windmeijer, F. (Principal Investigator), Tilling, K. M. (Researcher) & Tilling, K. M. (Principal Investigator)
1/06/13 → 31/03/18
Project: Research
Student theses
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New uses for old drugs : Investigating whether antihypertensives can be repurposed for the prevention of dementia
Walker, V. (Author), Davies, N. (Supervisor), Kehoe, P. (Supervisor) & Martin, R. (Supervisor), 13 Sept 2019Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)
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Profiles
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Professor Richard M Martin
- Bristol Medical School (PHS) - Associate Pro Vice Chancellor (Research & Innovation) & Professor of Clinical Epidemiology
- Bristol Population Health Science Institute
- MRC Integrative Epidemiology Unit
- Cancer
Person: Academic , Member