Integrating Genes Affecting Coronary Artery Disease in Functional Networks by Multi-OMICs Approach.

ABSTRACT: Coronary artery disease (CAD) and myocardial infarction (MI) remain among the leading causes of mortality worldwide, urgently demanding a better understanding of disease etiology, and more efficient therapeutic strategies. Genetic predisposition as well as the environment and lifestyle are thought to contribute to disease risk. It is likely that non-linear and complex interactions occur between these multiple factors, involving simultaneous pathological changes in diverse cell types, tissues, and organs, at multiple molecular levels. Recent technological advances have exponentially expanded the breadth of available -omics data, from genome, epigenome, transcriptome, proteome, metabolome to even the microbiome. Integration of multiple layers of information across several -omics domains, i.e

SUBMITTER: Vilne B 

PROVIDER: S-EPMC6056735 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature