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. Author manuscript; available in PMC: 2011 Mar 1.
Published in final edited form as: Semin Nephrol. 2010 Mar;30(2):177–184. doi: 10.1016/j.semnephrol.2010.01.008

Figure 1. Linking Genome Wide Association Studies to phenotypes via transcriptional network analysis.

Figure 1

Positional candidate genes are identified in GWAS. Disease specific gene expression alterations are defined by genome wide mRNA expression profiling of the tissue manifesting the GWAS phenotype.

GWAS candidates can be prioritized for further analysis using disease specific regulation of the candidate gene.

The functional impact of the candidate gene on the disease phenotype can be assessed by defining the disease-associated regulation of canonical pathways with established relevance of the candidate gene (a priori network). Co-regulation and transcriptional network modeling approaches can be used to established de novo disease specific networks potentially impacted by the candidate gene.