Recent Developments in Mendelian Randomization Studies

Recent Developments in Mendelian Randomization Studies Curr Epidemiol Rep (2017) 4:330–345 https://doi.org/10.1007/s40471-017-0128-6 GENETIC EPIDEMIOLOGY (C AMOS, SECTION EDITOR) 1 1 1 1 Jie Zheng & Denis Baird & Maria-Carolina Borges & Jack Bowden & 1 1 1,2 1 Gibran Hemani & Philip Haycock & David M. Evans & George Davey Smith Published online: 22 November 2017 The Author(s) 2017. This article is an open access publication Abstract and increased robustness of the methods, MR promises to Purpose of Review Mendelian randomization (MR) is a strat- be a valuable strategy to examine causality in complex egy for evaluating causality in observational epidemiological biological/omics networks, inform drug development and studies. MR exploits the fact that genotypes are not generally prioritize intervention targets for disease prevention in the susceptible to reverse causation and confounding, due to their future. fixed nature and Mendel’s First and Second Laws of Inheritance. MR has the potential to provide information on Keywords Mendelian randomization Databases and causality in many situations where randomized controlled tri- automation tools for causal inference Hypothesis-free . . als are not possible, but the results of MR studies must be causality Drug development Disease progression interpreted carefully to avoid drawing erroneous conclusions. Recent Findings In this review, we outline http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Current Epidemiology Reports Springer Journals
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Publisher
Springer International Publishing
Copyright
Copyright © 2017 by The Author(s)
Subject
Medicine & Public Health; Epidemiology
eISSN
2196-2995
D.O.I.
10.1007/s40471-017-0128-6
Publisher site
See Article on Publisher Site

Abstract

Curr Epidemiol Rep (2017) 4:330–345 https://doi.org/10.1007/s40471-017-0128-6 GENETIC EPIDEMIOLOGY (C AMOS, SECTION EDITOR) 1 1 1 1 Jie Zheng & Denis Baird & Maria-Carolina Borges & Jack Bowden & 1 1 1,2 1 Gibran Hemani & Philip Haycock & David M. Evans & George Davey Smith Published online: 22 November 2017 The Author(s) 2017. This article is an open access publication Abstract and increased robustness of the methods, MR promises to Purpose of Review Mendelian randomization (MR) is a strat- be a valuable strategy to examine causality in complex egy for evaluating causality in observational epidemiological biological/omics networks, inform drug development and studies. MR exploits the fact that genotypes are not generally prioritize intervention targets for disease prevention in the susceptible to reverse causation and confounding, due to their future. fixed nature and Mendel’s First and Second Laws of Inheritance. MR has the potential to provide information on Keywords Mendelian randomization Databases and causality in many situations where randomized controlled tri- automation tools for causal inference Hypothesis-free . . als are not possible, but the results of MR studies must be causality Drug development Disease progression interpreted carefully to avoid drawing erroneous conclusions. Recent Findings In this review, we outline

Journal

Current Epidemiology ReportsSpringer Journals

Published: Nov 22, 2017

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