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Dataset Information

Integrative genomic analysis identified common regulatory networks underlying the correlation between coronary artery disease and plasma lipid levels.


ABSTRACT:

Background

Coronary artery disease (CAD) and plasma lipid levels are highly correlated, indicating the presence of common pathways between them. Nevertheless, the molecular pathways underlying the pathogenic comorbidities for both traits remain poorly studied. We sought to identify common pathways and key driver genes by performing a comprehensive integrative analysis based on multi-omic datasets.

Methods

By performing a pathway-based analysis of GWAS summary data, we identified that lipoprotein metabolism process-related pathways were significantly associated with CAD risk. Based on LD score regression analysis of CAD-related SNPs, significant heritability enrichments were observed in the cardiovascular and digestive system, as well as in liver and gastrointestinal tissues,

SUBMITTER: Chen L 

PROVIDER: S-EPMC6927120 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature