In this light, we present a pathway and network oriented GWAS analysis (PANOGA) that challenges to identify individually modest genetic effects by combining nominally significant evidence of genetic association with current knowledge of biochemical pathways, protein-protein interaction networks, and functional and genetic information of selected SNPs.
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A new methodology to associate SNPs with human diseases according to their pathway related context.
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