Protein interaction networks in the vasculature prioritize genes and pathways underlying coronary artery disease

Abstract Population-based association studies have identified many genetic risk loci for coronary artery disease (CAD), but it is often unclear how genes within these loci are linked to CAD. Here, we perform interaction proteomics for 11 CAD-risk genes to map their protein-protein interactions (PPIs...

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Bibliographic Details
Main Authors: Qiuyu Martin Zhu, Yu-Han H. Hsu, Frederik H. Lassen, Bryan T. MacDonald, Stephanie Stead, Edyta Malolepsza, April Kim, Taibo Li, Taiji Mizoguchi, Monica Schenone, Gaelen Guzman, Benjamin Tanenbaum, Nadine Fornelos, Steven A. Carr, Rajat M. Gupta, Patrick T. Ellinor, Kasper Lage
Format: Article
Language:English
Published: Nature Portfolio 2024-01-01
Series:Communications Biology
Online Access:https://doi.org/10.1038/s42003-023-05705-1
Description
Summary:Abstract Population-based association studies have identified many genetic risk loci for coronary artery disease (CAD), but it is often unclear how genes within these loci are linked to CAD. Here, we perform interaction proteomics for 11 CAD-risk genes to map their protein-protein interactions (PPIs) in human vascular cells and elucidate their roles in CAD. The resulting PPI networks contain interactions that are outside of known biology in the vasculature and are enriched for genes involved in immunity-related and arterial-wall-specific mechanisms. Several PPI networks derived from smooth muscle cells are significantly enriched for genetic variants associated with CAD and related vascular phenotypes. Furthermore, the networks identify 61 genes that are found in genetic loci associated with risk of CAD, prioritizing them as the causal candidates within these loci. These findings indicate that the PPI networks we have generated are a rich resource for guiding future research into the molecular pathogenesis of CAD.
ISSN:2399-3642