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Pathway analysis of body mass index genome-wide association study highlights risk pathways in cardiovascular disease
Cardiovascular disease (CVD) is a class of diseases that involve the heart or blood vessels. It is reported that body mass index (BMI) is risk factor for CVD. Genome-wide association studies (GWAS) have recently provided rapid insights into genetics of CVD and its risk factors. However, the specific...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4533004/ https://www.ncbi.nlm.nih.gov/pubmed/26264282 http://dx.doi.org/10.1038/srep13025 |
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author | Zhao, Xin Gu, Jinxia Li, Ming Xi, Jie Sun, Wenyu Song, Guangmin Liu, Guiyou |
author_facet | Zhao, Xin Gu, Jinxia Li, Ming Xi, Jie Sun, Wenyu Song, Guangmin Liu, Guiyou |
author_sort | Zhao, Xin |
collection | PubMed |
description | Cardiovascular disease (CVD) is a class of diseases that involve the heart or blood vessels. It is reported that body mass index (BMI) is risk factor for CVD. Genome-wide association studies (GWAS) have recently provided rapid insights into genetics of CVD and its risk factors. However, the specific mechanisms how BMI influences CVD risk are largely unknown. We think that BMI may influences CVD risk by shared genetic pathways. In order to confirm this view, we conducted a pathway analysis of BMI GWAS, which examined approximately 329,091 single nucleotide polymorphisms from 4763 samples. We identified 31 significant KEGG pathways. There is literature evidence supporting the involvement of GnRH signaling, vascular smooth muscle contraction, dilated cardiomyopathy, Gap junction, Wnt signaling, Calcium signaling and Chemokine signaling in CVD. Collectively, our study supports the potential role of the CVD risk pathways in BMI. BMI may influence CVD risk by the shared genetic pathways. We believe that our results may advance our understanding of BMI mechanisms in CVD. |
format | Online Article Text |
id | pubmed-4533004 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-45330042015-08-13 Pathway analysis of body mass index genome-wide association study highlights risk pathways in cardiovascular disease Zhao, Xin Gu, Jinxia Li, Ming Xi, Jie Sun, Wenyu Song, Guangmin Liu, Guiyou Sci Rep Article Cardiovascular disease (CVD) is a class of diseases that involve the heart or blood vessels. It is reported that body mass index (BMI) is risk factor for CVD. Genome-wide association studies (GWAS) have recently provided rapid insights into genetics of CVD and its risk factors. However, the specific mechanisms how BMI influences CVD risk are largely unknown. We think that BMI may influences CVD risk by shared genetic pathways. In order to confirm this view, we conducted a pathway analysis of BMI GWAS, which examined approximately 329,091 single nucleotide polymorphisms from 4763 samples. We identified 31 significant KEGG pathways. There is literature evidence supporting the involvement of GnRH signaling, vascular smooth muscle contraction, dilated cardiomyopathy, Gap junction, Wnt signaling, Calcium signaling and Chemokine signaling in CVD. Collectively, our study supports the potential role of the CVD risk pathways in BMI. BMI may influence CVD risk by the shared genetic pathways. We believe that our results may advance our understanding of BMI mechanisms in CVD. Nature Publishing Group 2015-08-12 /pmc/articles/PMC4533004/ /pubmed/26264282 http://dx.doi.org/10.1038/srep13025 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Zhao, Xin Gu, Jinxia Li, Ming Xi, Jie Sun, Wenyu Song, Guangmin Liu, Guiyou Pathway analysis of body mass index genome-wide association study highlights risk pathways in cardiovascular disease |
title | Pathway analysis of body mass index genome-wide association study highlights risk pathways in cardiovascular disease |
title_full | Pathway analysis of body mass index genome-wide association study highlights risk pathways in cardiovascular disease |
title_fullStr | Pathway analysis of body mass index genome-wide association study highlights risk pathways in cardiovascular disease |
title_full_unstemmed | Pathway analysis of body mass index genome-wide association study highlights risk pathways in cardiovascular disease |
title_short | Pathway analysis of body mass index genome-wide association study highlights risk pathways in cardiovascular disease |
title_sort | pathway analysis of body mass index genome-wide association study highlights risk pathways in cardiovascular disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4533004/ https://www.ncbi.nlm.nih.gov/pubmed/26264282 http://dx.doi.org/10.1038/srep13025 |
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