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Strengthening the Reporting of Observational Studies in Epidemiology Using Mendelian Randomization: The STROBE-MR
Veronika W Skrivankova1, Rebecca C Richmond2,3, Benjamin A R Woolf2,4
1Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
This study introduces STROBE-MR, a guideline for reporting Mendelian randomization (MR) studies. It enhances transparency and evaluation of genetic association research by providing a standardized checklist.
Area of Science:
- Epidemiology
- Genetic Epidemiology
- Biostatistics
Background:
- Mendelian randomization (MR) studies leverage genetic variation to infer causal relationships between exposures and outcomes, aiming to mitigate confounding and reverse causation.
- Standardized reporting guidelines are crucial for the transparent and reproducible conduct of observational studies.
Purpose of the Study:
- To develop the STROBE-MR Statement, an extension of the STROBE guideline, specifically for reporting MR studies.
- To enhance the clarity, completeness, and evaluability of Mendelian randomization research.
Main Methods:
- The STROBE-MR Statement was developed following the EQUATOR framework, using the STROBE Statement as a foundation.
- A literature review of MR reporting was conducted, followed by a workshop with 17 experts to draft and refine a checklist.
- The draft checklist was iteratively improved based on feedback from preprints, social media, and conference discussions.
Main Results:
- The STROBE-MR checklist comprises 6 sections with 20 main items and 30 subitems.
- It covers various MR study designs, including 1-sample and 2-sample MR, multiple exposures/outcomes, and genome-wide association studies.
- Key reporting recommendations include justifying MR use, stating causal hypotheses, detailing genetic variant selection and quality, and reporting data sharing.
Conclusions:
- STROBE-MR provides essential guidelines for reporting Mendelian randomization studies.
- Improved reporting facilitates critical evaluation by editors, peer reviewers, and researchers.
- Enhanced transparency in MR studies will improve the interpretation and reliability of their findings.
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