Metabolic Pathway Genes Associated with Susceptibility Genes to Coronary Artery Disease
Joint Authors
Source
International Journal of Genomics
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-02-11
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Coronary artery disease (CAD) is one of the leading threats to global health.
Previous research has proven that metabolic pathway disorders, such as high blood lipids and diabetes, are one of the risk factors that mostly cause CAD.
However, the crosstalk between metabolic pathways and CAD was mostly studied on physiology processes by analyzing a single gene function.
A canonical correlation analysis was used to identify the metabolic pathways, which were integrated as a unit to coexpress with CAD susceptibility genes, and to resolve additional metabolic factors that are related to CAD.
Seven pathways, including citrate cycle, ubiquinone, terpenoid quinone biosynthesis, and N-glycan biosynthesis, were identified as an integrated unit coexpressed with CAD genes.
These pathways could not be revealed as a coexpressed pathway through traditional methods as each single gene has weak correlation.
Furthermore, sets of genes in these pathways were candidate markers for diagnosis and detection from patients’ serum.
American Psychological Association (APA)
Lu, Heng& Chen, Yi& Li, Linlin. 2018. Metabolic Pathway Genes Associated with Susceptibility Genes to Coronary Artery Disease. International Journal of Genomics،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1172901
Modern Language Association (MLA)
Lu, Heng…[et al.]. Metabolic Pathway Genes Associated with Susceptibility Genes to Coronary Artery Disease. International Journal of Genomics No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1172901
American Medical Association (AMA)
Lu, Heng& Chen, Yi& Li, Linlin. Metabolic Pathway Genes Associated with Susceptibility Genes to Coronary Artery Disease. International Journal of Genomics. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1172901
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1172901