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中国汉族人群中基因多态性与中风风险的关联

Association of gene polymorphisms with stroke risk in a Chinese Han population.

作者信息

Cai Yi, Zeng Chaosheng, Su Qingjie, Zhou Jingxia, Li Pengxiang, Dai Mingming, Wang Desheng, Long Faqing

机构信息

Department of Neurosurgery, The Second Affiliated Hospital of Hainan Medical College, Hainan 570311, China.

出版信息

Oncotarget. 2017 Dec 5;8(70):114995-115001. doi: 10.18632/oncotarget.22980. eCollection 2017 Dec 29.

Abstract

We investigated the associations between single nucleotide polymorphisms (SNPs) in the regulator of telomere elongation helicase 1 () gene and stroke in the Chinese population. A total of 400 stroke patients and 395 healthy participants were included in this study. Five SNPs in were genotyped and the association with stroke risk was analyzed. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated using unconditional logistic regression analysis. Multivariate logistic regression analysis was used to identify SNPs that correlated with stroke. Rs2297441 was associated with an increased risk of stroke in an allele model (odds ratio [OR] = 1.24, 95% confidence interval [95% CI] = 1.01-1.52, = 0.043). Rs6089953 was associated with an increased risk of stroke under the genotype model ([OR] = 1.862, [CI] = 1.123-3.085, = 0.016). Rs2297441 was associated with an increased risk of stroke in an additive model (OR = 1.234, 95% CI = 1.005, = 0.045, Rs6089953, Rs6010620 and Rs6010621 were associated with an increased risk of stroke in the recessive model (Rs6089953:OR = 1.825, 95% CI = 1.121-2.969, =0.01546; Rs6010620: OR = 1.64, 95% CI = 1.008-2.669, =0.04656;Rs6010621:OR = 1.661, 95% CI = 1.014-2.722, =0.04389). Our findings reveal a possible association between SNPs in the gene and stroke risk in Chinese population.

摘要

我们研究了端粒延长解旋酶1()基因中的单核苷酸多态性(SNP)与中国人群中风之间的关联。本研究共纳入400例中风患者和395名健康参与者。对中的5个SNP进行基因分型,并分析其与中风风险的关联。使用无条件逻辑回归分析计算比值比(OR)和95%置信区间(95%CI)。采用多变量逻辑回归分析来确定与中风相关的SNP。Rs2297441在等位基因模型中与中风风险增加相关(比值比[OR]=1.24,95%置信区间[95%CI]=1.01-1.52,=0.043)。Rs6089953在基因型模型下与中风风险增加相关([OR]=1.862,[CI]=1.123-3.085,=0.016)。Rs2297441在加性模型中与中风风险增加相关(OR=1.234,95%CI=1.005,=0.045),Rs6089953、Rs6010620和Rs6010621在隐性模型中与中风风险增加相关(Rs6089953:OR=1.825,95%CI=1.121-2.969,=0.01546;Rs6010620:OR=1.64,95%CI=1.008-2.669,=0.04656;Rs6010621:OR=1.661,95%CI=1.014-2.722,=0.04389)。我们的研究结果揭示了基因中的SNP与中国人群中风风险之间可能存在的关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d72/5777748/6204c10a7ce6/oncotarget-08-114995-g001.jpg

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