Genetic overlap between type 2 diabetes and major depressive disorder identified by bioinformatics analysis

Hong-Fang Ji; Qi-Shuai Zhuang; Liang Shen

doi:10.18632/oncotarget.8202

Oncotarget

Oncotarget (a primarily oncology-focused, peer-reviewed, open access journal) aims to maximize research impact through insightful peer-review; eliminate borders between specialties by linking different fields of oncology, cancer research and biomedical sciences; and foster application of basic and clinical science.

Its scope is unique. The term "oncotarget" encompasses all molecules, pathways, cellular functions, cell types, and even tissues that can be viewed as targets relevant to cancer as well as other diseases. The term was introduced in the inaugural Editorial, Introducing Oncotarget.

As of January 1, 2022, Oncotarget has shifted to a continuous publishing model. Papers will now be published continuously within yearly volumes in their final and complete form and then quickly released to Pubmed.

Subscribe to receive alerts once a paper has been published by Oncotarget.

Impact Journals, LLC is the publisher of Oncotarget: www.impactjournals.com.

Impact Journals is a member of the Wellcome Trust List of Compliant Publishers.

Impact Journals is a member of the Society for Scholarly Publishing.

On December 23, 2022, Oncotarget server experienced a DDoS attack. As a result, Oncotarget site was inaccessible for a few hours. Oncotarget team swiftly dealt with the situation and took it under control. This malicious action will be reported to the FBI.

Research Papers: Gerotarget (Focus on Aging):

Genetic overlap between type 2 diabetes and major depressive disorder identified by bioinformatics analysis

Hong-Fang Ji _, Qi-Shuai Zhuang and Liang Shen

PDF | HTML | How to cite

Oncotarget. 2016; 7:17410-17414. https://doi.org/10.18632/oncotarget.8202

Metrics: PDF 1638 views | HTML 2016 views | ?

Abstract

Hong-Fang Ji1, Qi-Shuai Zhuang1 and Liang Shen1

1 Shandong Provincial Research Center for Bioinformatic Engineering and Technique, School of Life Sciences, Shandong University of Technology, Zibo, P. R. China

Correspondence to:

Hong-Fang Ji, email:

Liang Shen, email:

Keywords: type 2 diabetes; major depressive disorder; single nucleotide polymorphisms; bioinformatics; Gerotarget

Received: December 20, 2015 Accepted: February 15, 2016 Published: March 19, 2016

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.

All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 4.0 License.
PII: 8202

Publication Alerts

Research Papers: Gerotarget (Focus on Aging):

Genetic overlap between type 2 diabetes and major depressive disorder identified by bioinformatics analysis

Abstract