BACKGROUND: Meta-analysis in European population found no association between rs12425791/rs11833579 and ischemic stroke. Several studies focused on East Asians have evaluated the association between this two SNPs and risk of ischemic stroke, but the results have been inconsistent. The aim of this study was to perform a meta-analysis to investigate a more authentic association between rs12425791 and rs11833579 G>A mutation and ischemic stroke in East Asian population, as well as in Chinese Han population. METHODS: Systematic searches of electronic databases Embase, PubMed, Web of Science, and CBM as well as hand searching of the references of identified articles and the meeting abstracts were performed. Study selection, data abstraction and study quality evaluation were independently conducted in duplicate. Statistical analyses were performed using software Stata 11.0. The pooled odds ratios (ORs) with 95% confidence intervals (95%CIs) were performed. Different effects models were used according to the difference in heterogeneity. Publication bias was tested by Begg's funnel plot and Egger's regression test. RESULTS: A total of 4 publications including 7 studies were involved. For rs12425791, significant association was found in allelic model (OR=1.06, 95%CI=1.00-1.11) and dominant model (OR=1.10, 95%CI=1.03-1.18), whereas no evidence of association was found for additive model (OR=1.04, 95%CI=0.93-1.17) and for recessive model (OR=0.99, 95%CI=0.88-1.10). For rs11833579, no evidence of association was found for all genetic models. In the analysis of Chinese Han population, there is lack of evidence for association of ischemic stroke for both SNPs. CONCLUSIONS: In summary, our meta-analysis suggests that rs12425791 is significantly associated with ischemic stroke in East Asian population but not Chinese Han population, of which A alleles increase the risk of ischemic stroke, whereas no evidence of association was found for rs11833579 in East Asian population as well as Chinese Han population.
BACKGROUND: Meta-analysis in European population found no association between rs12425791/rs11833579 and ischemic stroke. Several studies focused on East Asians have evaluated the association between this two SNPs and risk of ischemic stroke, but the results have been inconsistent. The aim of this study was to perform a meta-analysis to investigate a more authentic association between rs12425791 and rs11833579 G>A mutation and ischemic stroke in East Asian population, as well as in Chinese Han population. METHODS: Systematic searches of electronic databases Embase, PubMed, Web of Science, and CBM as well as hand searching of the references of identified articles and the meeting abstracts were performed. Study selection, data abstraction and study quality evaluation were independently conducted in duplicate. Statistical analyses were performed using software Stata 11.0. The pooled odds ratios (ORs) with 95% confidence intervals (95%CIs) were performed. Different effects models were used according to the difference in heterogeneity. Publication bias was tested by Begg's funnel plot and Egger's regression test. RESULTS: A total of 4 publications including 7 studies were involved. For rs12425791, significant association was found in allelic model (OR=1.06, 95%CI=1.00-1.11) and dominant model (OR=1.10, 95%CI=1.03-1.18), whereas no evidence of association was found for additive model (OR=1.04, 95%CI=0.93-1.17) and for recessive model (OR=0.99, 95%CI=0.88-1.10). For rs11833579, no evidence of association was found for all genetic models. In the analysis of Chinese Han population, there is lack of evidence for association of ischemic stroke for both SNPs. CONCLUSIONS: In summary, our meta-analysis suggests that rs12425791 is significantly associated with ischemic stroke in East Asian population but not Chinese Han population, of which A alleles increase the risk of ischemic stroke, whereas no evidence of association was found for rs11833579 in East Asian population as well as Chinese Han population.
Authors: Joshua C Bis; Anita DeStefano; Xiaoming Liu; Jennifer A Brody; Seung Hoan Choi; Benjamin F J Verhaaren; Stéphanie Debette; M Arfan Ikram; Eyal Shahar; Kenneth R Butler; Rebecca F Gottesman; Donna Muzny; Christie L Kovar; Bruce M Psaty; Albert Hofman; Thomas Lumley; Mayetri Gupta; Philip A Wolf; Cornelia van Duijn; Richard A Gibbs; Thomas H Mosley; W T Longstreth; Eric Boerwinkle; Sudha Seshadri; Myriam Fornage Journal: PLoS One Date: 2014-06-24 Impact factor: 3.240