AUTHOR=Yang Liting , Pan Xuyang , Zhang Ying , Zhao Dongsheng , Wang Liang , Yuan Guoliang , Zhou Changgao , Li Tao , Li Wei 

TITLE=Bioinformatics analysis to screen for genes related to myocardial infarction

JOURNAL=Frontiers in Genetics

VOLUME=13

YEAR=2022

URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2022.990888

DOI=10.3389/fgene.2022.990888

ISSN=1664-8021

ABSTRACT=<p>Myocardial infarction (MI) is an acute and persistent myocardial ischemia caused by coronary artery disease. This study screened potential genes related to MI. Three gene expression datasets related to MI were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were screened using the MetaDE package. Afterward, the modules and genes closely related to MI were screened and a gene co-expression network was constructed. A support vector machine (SVM) classification model was then constructed based on the GSE61145 dataset using the e1071 package in R. A total of 98 DEGs were identified in the MI samples. Next, three modules associated with MI were screened and an SVM classification model involving seven genes was constructed. Among them, <italic>BCL6, CEACAM8</italic>, and <italic>CUGBP2</italic> showed co-interactions in the gene co-expression network. Therefore, <italic>ACOX1, BCL6, CEACAM8,</italic> and <italic>CUGBP2</italic>, in addition to <italic>GPX7</italic>, might be feature genes related to MI.</p>