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Open AccessJournal ArticleDOI

Mendelian randomisation in cardiovascular research: an introduction for clinicians

Derrick A Bennett, +1 more
- 08 Jun 2017 - 
- Vol. 103, Iss: 18, pp 1400-1407
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TLDR
A narrative review of the literature where Mendelian randomisation has provided pivotal information for drug discovery including predicting efficacy, informing on target-mediated adverse effects and providing potential new evidence for drug repurposing is conducted.
Abstract
Understanding the causal role of biomarkers in cardiovascular and other diseases is crucial in order to find effective approaches (including pharmacological therapies) for disease treatment and prevention. Classical observational studies provide naive estimates of the likely role of biomarkers in disease development; however, such studies are prone to bias. This has direct relevance for drug development as if drug targets track to non-causal biomarkers, this can lead to expensive failure of these drugs in phase III randomised controlled trials. In an effort to provide a more reliable indication of the likely causal role of a biomarker in the development of disease, Mendelian randomisation studies are increasingly used, and this is facilitated by the availability of large-scale genetic data. We conducted a narrative review in order to provide a description of the utility of Mendelian randomisation for clinicians engaged in cardiovascular research. We describe the rationale and provide a basic description of the methods and potential limitations of Mendelian randomisation. We give examples from the literature where Mendelian randomisation has provided pivotal information for drug discovery including predicting efficacy, informing on target-mediated adverse effects and providing potential new evidence for drug repurposing. The variety of the examples presented illustrates the importance of Mendelian randomisation in order to prioritise drug targets for cardiovascular research.

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Citations
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Journal ArticleDOI

Evaluating the potential role of pleiotropy in Mendelian randomization studies.

TL;DR: This review outlines how newly developed methods can be used together to improve the reliability of Mendelian randomization and discusses the burgeoning treasure trove of genetic associations yielded through genome wide association studies.
Journal ArticleDOI

An examination of multivariable Mendelian randomization in the single-sample and two-sample summary data settings.

TL;DR: MVMR analysis consistently estimates the direct causal effect of an exposure, or exposures, of interest and provides a powerful tool for determining causal effects in a wide range of scenarios with either individual- or summary-level data.
Journal ArticleDOI

Modifiable pathways in Alzheimer's disease: Mendelian randomisation analysis.

TL;DR: Support is provided that higher educational attainment is associated with a reduced risk of Alzheimer’s disease, and genetic variants associated with the modifiable risk factors as instrumental variables were not associated with dementia.

Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

Elizabeth K. Speliotes, +413 more
TL;DR: In this article, the authors examined associations between body mass index and similar to 2.8 million SNPs in up to 123,865 individuals with targeted follow up of 42 SNPs and up to 125,931 additional individuals.
References
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Journal ArticleDOI

Bias in meta-analysis detected by a simple, graphical test

TL;DR: Funnel plots, plots of the trials' effect estimates against sample size, are skewed and asymmetrical in the presence of publication bias and other biases Funnel plot asymmetry, measured by regression analysis, predicts discordance of results when meta-analyses are compared with single large trials.
Journal Article

MRC/BHF Heart Protection Study of cholesterol lowering with simvastatin in 20536 high-risk individuals: a randomised placebo-controlled trial. Commentary

Salim Yusuf
- 01 Jan 2002 - 
TL;DR: Adding simvastatin to existing treatments safely produces substantial additional benefits for a wide range of high-risk patients, irrespective of their initial cholesterol concentrations.
Journal ArticleDOI

Efficacy and safety of cholesterol-lowering treatment: prospective meta-analysis of data from 90,056 participants in 14 randomised trials of statins.

TL;DR: Statin therapy can safely reduce the 5-year incidence of major coronary events, coronary revascularisation, and stroke by about one fifth per mmol/L reduction in LDL cholesterol, largely irrespective of the initial lipid profile or other presenting characteristics.
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