作者: Kristin M. Mignogna , Silviu A. Bacanu , Brien P. Riley , Aaron R. Wolen , Michael F. Miles
DOI: 10.1371/JOURNAL.PONE.0202063
关键词: Gene regulatory network 、 Computational biology 、 Gene expression 、 Genome-wide association study 、 Ventral tegmental area 、 Gene 、 Human genome 、 Alcohol dependence 、 Biology 、 Genetic association 、 General Biochemistry, Genetics and Molecular Biology 、 General Agricultural and Biological Sciences 、 General Medicine
摘要: Genome-wide association studies on alcohol dependence, by themselves, have yet to account for the estimated heritability of disorder and provide incomplete mechanistic understanding this complex trait. Integrating brain ethanol-responsive gene expression networks from model organisms with human genetic data dependence could aid in identifying dependence-associated genes functional which they are involved. This study used a modification Edge-Weighted Dense Module Searching genome-wide (EW-dmGWAS) approach co-analyze whole-genome ethanol-exposed mouse tissue, protein-protein interaction databases dependence-related studies. Results revealed novel prefrontal cortex, nucleus accumbens, ventral tegmental area. Three these were overrepresented signals an independent dataset. These significantly ontology categories involving several mechanisms, including actin filament-based activity, transcript regulation, Wnt Syndecan-mediated signaling, ubiquitination. Together, insight mechanisms contributing dependence.