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Miao X, Chen X, Xie Z, et al. Tissue-specific Network Analysis of Genetic Variants Associated with Coronary Artery Disease. Sci Rep. 2018;8(1):11492doi: 10.1038/s41598-018-29904-7.
Miao, X., Chen, X., Xie, Z., & Lin, H. (2018). Tissue-specific Network Analysis of Genetic Variants Associated with Coronary Artery Disease. Scientific reports, 8(1), 11492. https://doi.org/10.1038/s41598-018-29904-7
Miao, Xiao, et al. "Tissue-specific Network Analysis of Genetic Variants Associated with Coronary Artery Disease." Scientific reports vol. 8,1 (2018): 11492. doi: https://doi.org/10.1038/s41598-018-29904-7
Miao X, Chen X, Xie Z, Lin H. Tissue-specific Network Analysis of Genetic Variants Associated with Coronary Artery Disease. Sci Rep. 2018 Jul 31;8(1):11492. doi: 10.1038/s41598-018-29904-7. PMID: 30065343; PMCID: PMC6068195.
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Sci Rep. 2018 Jul 31;8(1):11492. doi: 10.1038/s41598-018-29904-7.

Tissue-specific Network Analysis of Genetic Variants Associated with Coronary Artery Disease.

Scientific reports

Xiao Miao, Xinlin Chen, Zhijun Xie, Honghuang Lin

Affiliations

  1. Innovation Research Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China. [email protected].
  2. Department of Cardiovascular Medicine, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  3. College of Basic Medical Science, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, China.
  4. Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA.
  5. Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA. [email protected].

PMID: 30065343 PMCID: PMC6068195 DOI: 10.1038/s41598-018-29904-7

Abstract

Coronary artery disease (CAD) is a leading cause of death worldwide. Recent genome-wide association studies have identified more than one hundred susceptibility loci associated with CAD. However, the underlying mechanism of these genetic loci to CAD susceptibility is still largely unknown. We performed a tissue-specific network analysis of CAD using the summary statistics from one of the largest genome-wide association studies. Variant-level associations were summarized into gene-level associations, and a CAD-related interaction network was built using experimentally validated gene interactions and gene coexpression in coronary artery. The network contained 102 genes, of which 53 were significantly associated with CAD. Pathway enrichment analysis revealed that many genes in the network were involved in the regulation of peripheral arteries. In summary, we performed a tissue-specific network analysis and found abnormalities in the peripheral arteries might be an important pathway underlying the pathogenesis of CAD. Future functional characterization might further validate our findings and identify potential therapeutic targets for CAD.

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