Weighted Gene Co-Expression Network Analysis Reveals Dysregulation of Mitochondrial Oxidative Phosphorylation in Eating Disorders

Liulin Yang; Yun Li; Turki Turki; Huizi Tan; Zhi Wei; Xiao Chang

doi:10.3390/genes9070325

,

and

¹

College of Electrical Engineering, Guangxi University, Nanning 530004, Guangxi, China

²

Department of Biostatistics and Epidemiology, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA

³

Department of Computer Science, King Abdulaziz University, P.O. Box 80221, Jeddah 21589, Saudi Arabia

⁴

School of Food Science and Technology, Jiangnan University, Wuxi 214122, Jiangsu, China

Genes2018, 9(7), 325;https://doi.org/10.3390/genes9070325

This article belongs to the Special Issue Computational Approaches for Disease Gene Identification

Version Notes

Order Reprints

Abstract

The underlying mechanisms of eating disorders (EDs) are very complicated and still poorly understood. The pathogenesis of EDs may involve the interplay of multiple genes. To investigate the dysregulated gene pathways in EDs we analyzed gene expression profiling in dorsolateral prefrontal cortex (DLPFC) tissues from 15 EDs cases, including 3 with anorexia nervosa (AN), 7 with bulimia nervosa (BN), 2 AN-BN cases, 3 cases of EDs not otherwise specified, and 102 controls. We further used a weighted gene co-expression network analysis to construct a gene co-expression network and to detect functional modules of highly correlated genes. The functional enrichment analysis of genes in co-expression modules indicated that an altered mitochondrial oxidative phosphorylation process may be involved in the pathogenesis of EDs.

Keywords:

eating disorders; weighted gene co-expression network analysis

Article Metrics

Citations

Article Access Statistics

Journal Statistics

Multiple requests from the same IP address are counted as one view.