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MTHFR A1298C gene polymorphism on stroke risk: an updated meta-analysis

Authors :
Xiaobo Dong
Jun Wang
Gesheng Wang
Jiayue Wang
Lei Wang
Yong Du
Source :
Genes and Environment, Vol 43, Iss 1, Pp 1-11 (2021)
Publication Year :
2021
Publisher :
BMC, 2021.

Abstract

Abstract Background Previous studies have shown the effect of MTHFR A1298C gene polymorphism on stroke risk. But the results of published studies remained inconclusive and controversial. So we conducted a meta-analysis to accurately estimate the potential association between MTHFR A1298C gene polymorphism and stroke susceptibility. Methods A systematic literature search on Embase, Pubmed, Web of Science, Cochrane Library, China National Knowledge Infrastructure (CNKI) and WanFang electronic database identified 40 articles including 5725 cases and 8655 controls. Strength of association was evaluated by pooled odds ratio (OR), 95% confidence interval (CI) and p value. Funnel plots and Begger’s regression test were applied for testing the publication bias. Statistical analysis of all data was performed by Stata 12.0. Results The meta-analysis results indicated a significant relationship between MTHFR gene A1298C polymorphisms and stoke risk under the C allelic genetic model (OR = 1.19, 95%CI = 1.07–1.32, p = 0.001), dominant genetic model (OR = 1.19, 95%CI = 1.06–1.33, p = 0.004) and recessive genetic model (OR = 1.43, 95%CI =1.15–1.77, p = 0.001). In subgroup analysis, we discovered obvious correlation in three genetic model of Asian, stroke type, adult by ethnicity, population, stroke type, source of control and case size. Additionally, in studies of control from hospital and case size equal 100, obvious correlation was also found in the three genetic model. Conclusions Our meta-analysis results indicated that there was evidence to support the correlation between MTHFR A1298C polymorphism and stroke susceptibility, especially in adults and ischemic stroke.

Details

Language :
English
ISSN :
18807062
Volume :
43
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Genes and Environment
Publication Type :
Academic Journal
Accession number :
edsdoj.0f2d38c5d94cf3ae6d991a304db0bc
Document Type :
article
Full Text :
https://doi.org/10.1186/s41021-021-00208-z