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Update netwas.rst
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aaronkw committed Jan 10, 2017
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Tissue-specific networks provide a new means to generate hypotheses related to the molecular basis of human disease. We developed an approach, termed network-wide association study (NetWAS). In NetWAS, the statistical associations from a standard GWAS guide the analysis of functional networks. This reprioritization method is driven by discovery and does not depend on prior disease knowledge. NetWAS, in conjunction with tissue-specific networks, effectively reprioritizes statistical associations from distinct GWAS to identify disease-associated genes, and tissue-specific NetWAS better identifies genes associated with hypertension than either GWAS or tissue-naive NetWAS.

GWAS File
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NetWAS requires as input a GWAS result file, with per-gene p-values. We suggest the versatile gene-based association study (VEGAS) system for calculating gene p-values, but we also support forge an pseq.


Method
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