Integrative Prioritization of Causal Genes for Coronary Artery Disease.

ABSTRACT:

Background

Hundreds of candidate genes have been associated with coronary artery disease (CAD) through genome-wide association studies. However, a systematic way to understand the causal mechanism(s) of these genes, and a means to prioritize them for further study, has been lacking. This represents a major roadblock for developing novel disease- and gene-specific therapies for patients with CAD. Recently, powerful integrative genomics analyses pipelines have emerged to identify and prioritize candidate causal genes by integrating tissue/cell-specific gene expression data with genome-wide association study data sets.

Methods

We aimed to develop a comprehensive integrative genomics analyses pipeline for CAD and to provide a prioritized list of causal CAD genes. To this end, we

SUBMITTER: Hao K 

PROVIDER: S-EPMC8847335 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature