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Guidelines for performing Mendelian randomization investigations: update for summer 2023.
Stephen Burgess1,2, George Davey Smith3,4, Neil M Davies3,5,6,7
1MRC Biostatistics Unit, University of Cambridge, Cambridge, UK.
This paper offers guidelines for Mendelian randomization (MR) studies, aiding researchers and reviewers in conducting and assessing analyses. It covers key aspects from data sources to interpretation for robust causal inference.
Area of Science:
- Epidemiology
- Genetics
- Biostatistics
Background:
- Mendelian randomization (MR) is a powerful method for inferring causal relationships.
- Standardized guidelines are needed for conducting and evaluating MR studies.
- Existing methodologies require clear, accessible documentation for practitioners.
Purpose of the Study:
- To provide comprehensive guidelines for performing Mendelian randomization investigations.
- To assist researchers in analyzing and reporting MR findings.
- To aid journal editors and reviewers in assessing MR manuscripts.
Main Methods:
- The guidelines are structured into ten distinct sections.
- Key areas covered include data sources, genetic variant selection, and harmonization.
- Emphasis is placed on primary, supplementary, and sensitivity analyses, alongside extensions and interpretation.
Main Results:
- The paper presents a structured framework for Mendelian randomization studies.
- It details best practices for statistical analysis and data presentation.
- The guidelines address potential biases and offer methods for robust inference.
Conclusions:
- Adherence to these guidelines will enhance the rigor and reproducibility of Mendelian randomization research.
- The proposed framework promotes transparent reporting and critical appraisal of MR studies.
- These guidelines will be periodically updated to reflect advancements in the field.
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