Ke Hao, Raili Ermel, Katyayani Sukhavasi, Haoxiang Cheng, Lijiang Ma, Ling Li, Letizia Amadori, Simon Koplev, Oscar Franzén, Valentina d'Escamard, Nirupama Chandel, Kathryn Wolhuter, Nicole S Bryce, Vamsidhar R M Venkata, Clint L Miller, Arno Ruusalepp, Heribert Schunkert, Johan L M Björkegren, Jason C Kovacic
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...
February 2022: Circulation. Genomic and Precision Medicine