Mendelian Randomisation and Causal Inference in Observational Epidemiology

Abstract

Nuala Sheehan and colleagues describe how Mendelian randomization provides an alternative way of dealing with the problems of observational studies, especially confounding.

Cited by papers we hold 12

• Instrumental Heterogeneity in Sex-Specific Two-Sample Mendelian Randomization: Empirical Results From the Relationship Between Anthropometric Traits and Breast/Prostate Cancer · 2021
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• Pharmacomicrobiomics: a novel route towards personalized medicine? · 2018
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• Recent Developments in Mendelian Randomization Studies · 2017
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• Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015 · 2016
  Corrected
• A review of instrumental variable estimators for Mendelian randomization · 2015
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• Mendelian randomization: genetic anchors for causal inference in epidemiological studies · 2014
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• Sedentary Behavior and Health Outcomes: An Overview of Systematic Reviews · 2014
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• The Role of Adiposity in Cardiometabolic Traits: A Mendelian Randomization Analysis · 2013
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• Use of allele scores as instrumental variables for Mendelian randomization · 2013
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• Serum Uric Acid and Adiposity: Deciphering Causality Using a Bidirectional Mendelian Randomization Approach · 2012
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• Using multiple genetic variants as instrumental variables for modifiable risk factors · 2011
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• Epigenetic Epidemiology of Common Complex Disease: Prospects for Prediction, Prevention, and Treatment · 2010
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