Systematic analysis of coronary artery disease datasets revealed the potential biomarker and treatment target.

ABSTRACT: Coronary artery disease caused about 1 of every 7 deaths in the United States and early prevention was potential to decrease the incidence and mortality. We aimed to figure the genes involving in the coronary artery disease using meta-anlaysis. Five datasets of coronary heart disease from GEO series were retrieved and data preprocessing and quality control were carried out. Moderated t-test was used to decide the differentially expressed genes for a single dataset. And the combined p-value using systematic-analysis methods were conducted using MetaDE. The pathway enrichment was carried out using Reactome database. Protein-protein interactions of the identified differentially expressed genes were also analyzed using STRING v10.0 online tool. After removing unidentified or intermediate sampl

SUBMITTER: Shi Y 

PROVIDER: S-EPMC5589605 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature