RT Journal Article SR Electronic T1 Mergeomics: integration of diverse genomics resources to identify pathogenic perturbations to biological systems JF bioRxiv FD Cold Spring Harbor Laboratory SP 036012 DO 10.1101/036012 A1 Le Shu A1 Yuqi Zhao A1 Zeyneb Kurt A1 Sean Geoffrey Byars A1 Taru Tukiainen A1 Johannes Kettunen A1 Samuli Ripatti A1 Bin Zhang A1 Michael Inouye A1 Ville-Petteri Mäkinen A1 Xia Yang YR 2016 UL http://biorxiv.org/content/early/2016/01/07/036012.abstract AB Mergeomics is a computational pipeline (http://mergeomics.research.idre.ucla.edu/Download/Package/) that integrates multidimensional omics-disease associations, functional genomics, canonical pathways and gene-gene interaction networks to generate mechanistic hypotheses. It first identifies biological pathways and tissue-specific gene subnetworks that are perturbed by disease-associated molecular entities. The disease-associated subnetworks are then projected onto tissue-specific gene-gene interaction networks to identify local hubs as potential key drivers of pathological perturbations. The pipeline is modular and can be applied across species and platform boundaries, and uniquely conducts pathway/network level meta-analysis of multiple genomic studies of various data types. Application of Mergeomics to cholesterol datasets revealed novel regulators of cholesterol metabolism.