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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2016
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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. |
format | Online Article Text |
id | pubmed-4951221 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
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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