Network-Based Identification and Prioritization of Key Regulators of Coronary Artery Disease Loci.
Journal:
Arteriosclerosis, thrombosis, and vascular biology
PMID:
26966275
Abstract
OBJECTIVE: Recent genome-wide association studies of coronary artery disease (CAD) have revealed 58 genome-wide significant and 148 suggestive genetic loci. However, the molecular mechanisms through which they contribute to CAD and the clinical implications of these findings remain largely unknown. We aim to retrieve gene subnetworks of the 206 CAD loci and identify and prioritize candidate regulators to better understand the biological mechanisms underlying the genetic associations.
Authors
Keywords
Animals
Bayes Theorem
Case-Control Studies
Computational Biology
Computer Simulation
Coronary Artery Disease
Databases, Genetic
Gene Expression Profiling
Gene Expression Regulation
Gene Regulatory Networks
Genetic Loci
Genetic Predisposition to Disease
Genome-Wide Association Study
Genomics
Humans
Lumican
Mice
Neural Networks, Computer
Phenotype
Protein Interaction Maps
Signal Transduction
STAT3 Transcription Factor