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A meta‐analysis of the relationship between VEGFR2 polymorphisms and atherosclerotic cardiovascular diseases

BACKGROUND: Some previous studies explored associations between vascular endothelial growth factor receptor 2 (VEGFR2) polymorphisms and atherosclerotic cardiovascular diseases (ASCVD), with conflicting findings. HYPOTHESIS: We thought that VEGFR2 polymorphisms may influence susceptibility to ASCVD....

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Autores principales: Wang, Li, Ge, Hui, Peng, Longyun, Wang, Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wiley Periodicals, Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6788482/
https://www.ncbi.nlm.nih.gov/pubmed/31339592
http://dx.doi.org/10.1002/clc.23233
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author Wang, Li
Ge, Hui
Peng, Longyun
Wang, Bing
author_facet Wang, Li
Ge, Hui
Peng, Longyun
Wang, Bing
author_sort Wang, Li
collection PubMed
description BACKGROUND: Some previous studies explored associations between vascular endothelial growth factor receptor 2 (VEGFR2) polymorphisms and atherosclerotic cardiovascular diseases (ASCVD), with conflicting findings. HYPOTHESIS: We thought that VEGFR2 polymorphisms may influence susceptibility to ASCVD. Here, we aimed to better analyze the relationship between VEGFR2 polymorphisms and ASCVD in a larger combined population by performing a meta‐analysis. METHODS: We searched Pubmed, Embase, and Web of Science for related articles. We calculated odds ratio (OR) and 95% confidence interval (CI) to estimate whether there are genetic associations between VEGFR2 polymorphisms and ASCVD. RESULTS: Ten studies were included for this meta‐analysis (5474 cases and 8584 controls). VEGFR2 rs1870377 (dominant comparison: 0.81 (0.73‐0.89), I (2) = 56%; recessive comparison: 1.40 (1.25‐1.57), I (2) = 34%; allele comparison: 0.81 (0.76‐0.87), I (2) = 0%), rs2071559 (dominant comparison: 0.83 (0.76‐0.91), I (2) = 0%; recessive comparison: 1.22 (1.07‐1.38), I (2) = 0%; allele comparison: 0.86 (0.81‐0.92), I (2) = 0%) and rs2305948 (dominant comparison: 0.79 (0.72‐0.87), I (2) = 25%; recessive comparison: 1.44 (1.08‐1.92), I (2) = 60%; allele comparison: 0.79 (0.68‐0.92), I (2) = 73%) polymorphisms were all found to be significantly associated with susceptibility to ASCVD in general population. Subgroup analyses by type of disease revealed similar significant findings for rs1870377, rs2071559, and rs2305948 polymorphisms in coronary artery disease (CAD) subgroup. Besides, positive results were also found for rs1870377 polymorphism in ischemic stroke (IS) subgroup. CONCLUSIONS: In summary, this meta‐analysis proved that these VEGFR2 polymorphisms could be used to identify individual with elevated susceptibility to ASCVD.
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spelling pubmed-67884822019-10-18 A meta‐analysis of the relationship between VEGFR2 polymorphisms and atherosclerotic cardiovascular diseases Wang, Li Ge, Hui Peng, Longyun Wang, Bing Clin Cardiol Clinical Investigations BACKGROUND: Some previous studies explored associations between vascular endothelial growth factor receptor 2 (VEGFR2) polymorphisms and atherosclerotic cardiovascular diseases (ASCVD), with conflicting findings. HYPOTHESIS: We thought that VEGFR2 polymorphisms may influence susceptibility to ASCVD. Here, we aimed to better analyze the relationship between VEGFR2 polymorphisms and ASCVD in a larger combined population by performing a meta‐analysis. METHODS: We searched Pubmed, Embase, and Web of Science for related articles. We calculated odds ratio (OR) and 95% confidence interval (CI) to estimate whether there are genetic associations between VEGFR2 polymorphisms and ASCVD. RESULTS: Ten studies were included for this meta‐analysis (5474 cases and 8584 controls). VEGFR2 rs1870377 (dominant comparison: 0.81 (0.73‐0.89), I (2) = 56%; recessive comparison: 1.40 (1.25‐1.57), I (2) = 34%; allele comparison: 0.81 (0.76‐0.87), I (2) = 0%), rs2071559 (dominant comparison: 0.83 (0.76‐0.91), I (2) = 0%; recessive comparison: 1.22 (1.07‐1.38), I (2) = 0%; allele comparison: 0.86 (0.81‐0.92), I (2) = 0%) and rs2305948 (dominant comparison: 0.79 (0.72‐0.87), I (2) = 25%; recessive comparison: 1.44 (1.08‐1.92), I (2) = 60%; allele comparison: 0.79 (0.68‐0.92), I (2) = 73%) polymorphisms were all found to be significantly associated with susceptibility to ASCVD in general population. Subgroup analyses by type of disease revealed similar significant findings for rs1870377, rs2071559, and rs2305948 polymorphisms in coronary artery disease (CAD) subgroup. Besides, positive results were also found for rs1870377 polymorphism in ischemic stroke (IS) subgroup. CONCLUSIONS: In summary, this meta‐analysis proved that these VEGFR2 polymorphisms could be used to identify individual with elevated susceptibility to ASCVD. Wiley Periodicals, Inc. 2019-07-24 /pmc/articles/PMC6788482/ /pubmed/31339592 http://dx.doi.org/10.1002/clc.23233 Text en © 2019 The Authors. Clinical Cardiology published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Investigations
Wang, Li
Ge, Hui
Peng, Longyun
Wang, Bing
A meta‐analysis of the relationship between VEGFR2 polymorphisms and atherosclerotic cardiovascular diseases
title A meta‐analysis of the relationship between VEGFR2 polymorphisms and atherosclerotic cardiovascular diseases
title_full A meta‐analysis of the relationship between VEGFR2 polymorphisms and atherosclerotic cardiovascular diseases
title_fullStr A meta‐analysis of the relationship between VEGFR2 polymorphisms and atherosclerotic cardiovascular diseases
title_full_unstemmed A meta‐analysis of the relationship between VEGFR2 polymorphisms and atherosclerotic cardiovascular diseases
title_short A meta‐analysis of the relationship between VEGFR2 polymorphisms and atherosclerotic cardiovascular diseases
title_sort meta‐analysis of the relationship between vegfr2 polymorphisms and atherosclerotic cardiovascular diseases
topic Clinical Investigations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6788482/
https://www.ncbi.nlm.nih.gov/pubmed/31339592
http://dx.doi.org/10.1002/clc.23233
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