title: Genetic overlap between type 2 diabetes and major depressive disorder identified by bioinformatics analysis.
abstract: Our study investigated the shared genetic etiology underlying type 2 diabetes (T2D) and major depressive disorder (MDD) by analyzing large-scale genome wide association studies statistics. A total of 496 shared SNPs associated with both T2D and MDD were identified at p-value ≤ 1.0E-07. Functional enrichment analysis showed that the enriched pathways pertained to immune responses (Fc gamma R-mediated phagocytosis, T cell and B cell receptors signaling), cell signaling (MAPK, Wnt signaling), lipid metabolism, and cancer associated pathways. The findings will have potential implications for future interventional studies of the two diseases.
authors.affiliation: Shandong Provincial Research Center for Bioinformatic Engineering and Technique, School of Life Sciences, Shandong University of Technology, Zibo, P. R. China.
authors.forename: Hong-Fang
authors.initials: HF
authors.lastname: Ji
authors.affiliation: Shandong Provincial Research Center for Bioinformatic Engineering and Technique, School of Life Sciences, Shandong University of Technology, Zibo, P. R. China.
authors.forename: Qi-Shuai
authors.initials: QS
authors.lastname: Zhuang
authors.affiliation: Shandong Provincial Research Center for Bioinformatic Engineering and Technique, School of Life Sciences, Shandong University of Technology, Zibo, P. R. China.
authors.forename: Liang
authors.initials: L
authors.lastname: Shen
mesh_terms: D019295:Computational Biology / Q000379:methods; D003865:Major Depressive Disorder / Q000235:genetics*; D003924:Diabetes Mellitus, Type 2 / Q000235:genetics*; D020022:Genetic Predisposition to Disease; D055106:Genome-Wide Association Study; D006801:Humans; D020641:Polymorphism, Single Nucleotide
keywords: Gerotarget; bioinformatics; major depressive disorder; single nucleotide polymorphisms; type 2 diabetes