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ABSTRACT: Aim
To evaluate the influence of the vascular endothelial growth factor A (VEGFA) polymorphisms on risk of presentation with intracerebral hemorrhage (ICH).Methods
Nine selected VEGFA single-nucleotide polymorphisms (SNPs) were genotyped in 311 patients with brain arteriovenous malformations (BAVM) in a Chinese population. Associations between individual SNPs/haplotypes and the hemorrhage risk of BAVMs were evaluated using logistic regression analysis.Results
In the single-locus analysis, rs1547651 was associated with increased risk of ICH (adjusted OR=2.11, 95% CI=1.01-4.42 compared with the AA genotype). In particular, an increased risk for ICH was associated with this variant in female patients (adjusted OR=3.21, and 95% CI=0.99-10.36). Haplotype-based analyses revealed that haplotype 'GC' in block 1 and haplotype 'ACC' in block 2 were associated with a 30%-38% reduction in the risk of ICH in patients with BAVMs compared to the most common haplotype (P(sim)=0.033 and P(sim)=0.005, respectively). The protective effect of haplotype 'ACC' in block 2 was more evident in male patients and subjects with BAVMs of a size ≥3 cm (adjusted OR=0.57, 95% CI=0.34-0.97 and adjusted OR=0.57, 95% CI=0.31-0.86, respectively).Conclusion
The results suggest that VEGFA gene variants may contribute to ICH risk of BAVM.
SUBMITTER: Gong ZP
PROVIDER: S-EPMC4002532 | biostudies-literature | 2011 Aug
REPOSITORIES: biostudies-literature
Gong Zhi-ping ZP Qiao Ni-dan ND Gu Yu-xiang YX Song Jian-ping JP Li Pei-liang PL Qiu Hui-jia HJ Fan Wei-wei WW Mao Ying Y Chen Hong-yan HY Zhao Yao Y
Acta pharmacologica Sinica 20110627 8
<h4>Aim</h4>To evaluate the influence of the vascular endothelial growth factor A (VEGFA) polymorphisms on risk of presentation with intracerebral hemorrhage (ICH).<h4>Methods</h4>Nine selected VEGFA single-nucleotide polymorphisms (SNPs) were genotyped in 311 patients with brain arteriovenous malformations (BAVM) in a Chinese population. Associations between individual SNPs/haplotypes and the hemorrhage risk of BAVMs were evaluated using logistic regression analysis.<h4>Results</h4>In the singl ...[more]