Systematic Reviews of Genetic Association Studies
Author Information
Author(s): Gurdeep S. Sagoo, Julian Little, Julian Higgins
Primary Institution: MRC Biostatistics Unit, Cambridge, United Kingdom
Conclusion
Systematic reviews and meta-analyses are essential for accurately summarizing genetic association studies and identifying true associations amidst numerous false positives.
Supporting Evidence
- Systematic reviews provide a more objective appraisal of evidence compared to narrative reviews.
- Comprehensive searches should include multiple bibliographic databases and grey literature.
- Data extraction should be performed independently by at least two reviewers to minimize errors.
Takeaway
This study explains how to properly review and analyze research on genes and diseases to find real connections, rather than just coincidences.
Methodology
The article outlines key components for conducting systematic reviews and meta-analyses of genetic association studies, emphasizing the importance of predefined methods and comprehensive searches.
Potential Biases
Potential biases include publication bias and selective reporting, which can affect the validity of the findings.
Limitations
The guidance reflects a consensus from a workshop and may not cover all current methodologies or biases in genetic studies.
Digital Object Identifier (DOI)
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