Repository for STARNET cross-tissue analyses of data on multitissue gene expression and genotyping of patients with Coronary Artery Disease. The project uses weighted gene co-expression network analysis (WGCNA) across multiple tissues, followed by GENIE3 for inference of gene regulatory networks, which are analyzed by weighted key driver analysis (Mergeomics R package). In addition, we construct a directed supernetwork of co-expression module eigengenes to model the progression of disease states. We also infer endocrine signaling from cross-tissue co-expression patterns.
Note that the code base includes legacy analyses, not included in the final manuscript. The associated paper published in Nature Cardiovascular Research is available at: https://doi.org/10.1038/s44161-021-00009-1
Interactive browser to visualize the data and perform gene set enrichment analysis along with gene and SNP lookup is available at: http://starnet.mssm.edu/