The Association between VEGFR Gene Polymorphisms and Stroke: A Meta-Analysis
Shi Qiu,
Tao Wu,
Peifu Wang,
Jilai Li,
Qin Li and
Jichen Du
PLOS ONE, 2016, vol. 11, issue 3, 1-17
Abstract:
Several published articles investigated the relationship between VEGF receptor gene polymorphisms and stroke, but they failed to reach the same conclusion. This meta-analysis was performed to identify the relationships between VEGF receptor gene and the risk of stroke. The PubMed, Embase, China National Knowledge Infrastructure (CNKI) database, Wanfang Chinese database, and VIP Chinese database were systemically searched. Data was extracted by two independent reviewers. The pooled odds ratio (OR) with 95% confidence interval (CI) were calculated. 5 case-control studies with a total of 2904 patients with stroke and 2824 control subjects were included, including 2904 cases and 2824 controls for -604T>C, 2733 cases and 2663 controls for +1192C>T, and 2733 cases and 2663 controls for +1719A>T. Under the dominant and recessive models, respectively, the overall ORs and 95% CIs of -604 C were 0.749, 0.493–1.138 (P = 0.176) and 0.819, 0.544–1.234 (P = 0.340); the overall ORs and 95% CIs of +1192 T were 1.148, 0.876–1.504 (P = 0.318) and 1.611, 1.004–2.586 (P = 0.048); the overall ORs and 95% CIs of +1719 T were 1.227, 0.932–1.615 (P = 0.146) and 1.139, 1.015–1.279 (P = 0.027). Our finding indicates that +1192C>T and +1719A>T may be associated with the risk of stroke, but not -604T>C.
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0151371 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 51371&type=printable (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0151371
DOI: 10.1371/journal.pone.0151371
Access Statistics for this article
More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().