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Association of RTEL1 gene polymorphisms with stroke risk in a Chinese Han population

机译:RTEL1基因多态性与中国汉族人群中风风险的关系

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摘要

We investigated the associations between single nucleotide polymorphisms (SNPs) in the regulator of telomere elongation helicase 1 (RTEL1) 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 RTEL1 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, p = 0.043). Rs6089953 was associated with an increased risk of stroke under the genotype model ([OR] = 1.862, [CI] = 1.123–3.085, p = 0.016). Rs2297441 was associated with an increased risk of stroke in an additive model (OR = 1.234, 95% CI = 1.005, p = 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, p =0.01546; Rs6010620: OR = 1.64, 95% CI = 1.008–2.669, p =0.04656;Rs6010621:OR = 1.661, 95% CI = 1.014–2.722, p =0.04389). Our findings reveal a possible association between SNPs in the RTEL1 gene and stroke risk in Chinese population.
机译:我们调查了中国人口中端粒延伸解旋酶1(RTEL1)基因的调节子中的单核苷酸多态性(SNPs)之间的关联。这项研究总共包括了400名中风患者和395名健康参与者。对RTEL1中的5个SNP进行基因分型,并分析其与中风风险的相关性。使用无条件逻辑回归分析计算赔率(OR)和95%置信区间(95%CI)。使用多元逻辑回归分析来确定与中风相关的SNP。在等位基因模型中,Rs2297441与中风风险增加相关(赔率[OR] = 1.24,95%置信区间[95%CI] = 1.01-1.52,p = 0.043)。在基因型模型下,Rs6089953与卒中风险增加相关[OR] = 1.862,[CI] = 1.123–3.085,p = 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,p = 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,p = 0.01546; Rs6010620:OR = 1.64,95%CI = 1.008-2.669,p = 0.04656; Rs6010621:OR = 1.661,95%CI = 1.014-2.722,p = 0.04389)我们的发现表明,RTEL1基因中的SNP与中国人群中风风险之间可能存在关联。

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