This review paper mentioned 3 analytic methods to prioritizing GWAS results (for follow-up studies):
- Meta-analysis seeks to pool information from multiple GWAS to increase the chances of finding true positives among the false positives and provides a way to combine associations across GWAS, even when the original data are unavailable.
- Testing for epistasis within a single GWAS study can identify the stronger results that are revealed when genes interact.
- Pathway analysis of GWAS results is used to prioritize genes and pathways within a biological context. Following a GWAS, association results can be assigned to pathways and tested in aggregate with computational tools and pathway databases.
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