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

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 en...

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Detalles Bibliográficos
Autores principales: Ji, Hong-Fang, Zhuang, Qi-Shuai, Shen, Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4951221/
https://www.ncbi.nlm.nih.gov/pubmed/27007159
http://dx.doi.org/10.18632/oncotarget.8202
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author Ji, Hong-Fang
Zhuang, Qi-Shuai
Shen, Liang
author_facet Ji, Hong-Fang
Zhuang, Qi-Shuai
Shen, Liang
author_sort Ji, Hong-Fang
collection PubMed
description 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.
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spelling pubmed-49512212016-07-21 Genetic overlap between type 2 diabetes and major depressive disorder identified by bioinformatics analysis Ji, Hong-Fang Zhuang, Qi-Shuai Shen, Liang Oncotarget Research Paper: Gerotarget (Focus on Aging) 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. Impact Journals LLC 2016-03-19 /pmc/articles/PMC4951221/ /pubmed/27007159 http://dx.doi.org/10.18632/oncotarget.8202 Text en Copyright: © 2016 Ji et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper: Gerotarget (Focus on Aging)
Ji, Hong-Fang
Zhuang, Qi-Shuai
Shen, Liang
Genetic overlap between type 2 diabetes and major depressive disorder identified by bioinformatics analysis
title Genetic overlap between type 2 diabetes and major depressive disorder identified by bioinformatics analysis
title_full Genetic overlap between type 2 diabetes and major depressive disorder identified by bioinformatics analysis
title_fullStr Genetic overlap between type 2 diabetes and major depressive disorder identified by bioinformatics analysis
title_full_unstemmed Genetic overlap between type 2 diabetes and major depressive disorder identified by bioinformatics analysis
title_short Genetic overlap between type 2 diabetes and major depressive disorder identified by bioinformatics analysis
title_sort genetic overlap between type 2 diabetes and major depressive disorder identified by bioinformatics analysis
topic Research Paper: Gerotarget (Focus on Aging)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4951221/
https://www.ncbi.nlm.nih.gov/pubmed/27007159
http://dx.doi.org/10.18632/oncotarget.8202
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