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Chunk #38 — Discussion

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GPA: a statistical approach to prioritizing GWAS results by integrating pleiotropy and annotation.
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In the following, we briefly discuss the relationship between GPA and other related methods, such as LMM, conditional FDR and GSEA. LMM is an effective method for exploring genetic architecture of complex traits and it has been implemented in a popular software package, GCTA [41]. Compared with LMM, GPA has the following distinctive features: