Integrated Analysis of Methylomic and Transcriptomic Data to Identify Potential Diagnostic Biomarkers for Major Depressive Disorder.

ABSTRACT: Major depressive disorder (MDD) is a mental illness with high incidence and complex etiology, that poses a serious threat to human health and increases the socioeconomic burden. Currently, high-accuracy biomarkers for MDD diagnosis are urgently needed. This paper aims to identify novel blood-based diagnostic biomarkers for MDD. Whole blood DNA methylation data and gene expression data from the Gene Expression Omnibus database are downloaded. Then, differentially expressed/methylated genes (DEGs/DMGs) are identified. In addition, we made a systematic analysis of the DNA methylation on 5'-C-phosphate-G-3' (CpGs) in all of the gene regions, as well as different gene regions, and then we defined a "dominant" region. Subsequently, integrated analysis is employed to identify the robust MDD-relat

SUBMITTER: Xie Y 

PROVIDER: S-EPMC7912210 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature