Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians
By N. Davies, Michael Holmes, George Davey Smith. British medical journal, 2018
3,794 citations recorded by the source corpus.
Mendelian randomisation uses genetic variation as a natural experiment to investigate the causal relations between potentially modifiable risk factors and health outcomes in observational data. As with all epidemiological approaches, findings from Mendelian randomisation studies depend on specific assumptions. We provide explanations of the information typically reported in Mendelian randomisation studies that can be used to assess the plausibility of these assumptions and guidance on how to interpret findings from Mendelian randomisation studies in the context of other sources of evidence
Subfields: Genetics
View Paper: https://www.semanticscholar.org/paper/1b3476d3eec29eabec29da800b7b772f2a7590a6
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In Genetics
- E. Sanderson
- George Davey Smith
- Michael Holmes
- N. Davies
- T. Palmer
- Mika Ala-Korpela
- Nicholas J. Timpson
- R. Richmond
Citations in the corpus
- Mendelian randomisation for mediation analysis: current methods and challenges for implementation (2019, background): “Bias due to pleiotropy has been discussed extensively in the literature [41, 42].”
- Strengthening the Reporting of Observational Studies in Epidemiology Using Mendelian Randomization: The STROBE-MR Statement. (2021, background): “7 As noted by Emdin et al,2 “[m]endelian randomization rests on 3 main assumptions: (1) the genetic variant is associated with the risk factor; (2) the genetic variant is not associated with confounders; and (3) the genetic variant influences the outcome only through the risk factor.”
- Evaluating the relationship between circulating lipoprotein lipids and apolipoproteins with risk of coronary heart disease: A multivariable Mendelian randomisation analysis (2020, background): “A genetic instrument consists of one or more genetic variants that has characteristics that enable its use as an instrumental variable in MR [27,42,43].”