Liu Gaowen, Duan Ying
Department of Critical Care Medicine, Xianyang Central Hospital, Xianyang, China.
Front Neurosci. 2022 Dec 1;16:1030551. doi: 10.3389/fnins.2022.1030551. eCollection 2022.
Ischemic stroke (IS) is the major cause of death and disability. While previous studies confirmed that is closely associated with IS, the present study aimed to analyze the impact of gene polymorphisms on the IS susceptibility.
The present study genotyped six single nucleotide polymorphisms (SNPs) (including rs4736312, rs5017238, rs5301, rs5283, rs6410, and rs4534) of in peripheral blood samples from IS and control populations. Logistic regression analysis was used to analyze the association between the SNPs and IS risk. The multifactor dimensionality reduction (MDR) method was used to determine the roles of SNP-SNP interactions in IS.
The present study showed that rs5283 was associated with an increased susceptibility to IS [odds ratio (OR) 1.81, = 0.012]. On the contrary, rs6410 had a protective influence on IS risk (OR 0.56, = 0.020). Stratified analyses indicated that rs5283 could enhance the risk of IS in subjects aged >63 years (OR 2.41, = 0.011), of female gender (OR 3.31, = 0.001), that do not smoke (OR 1.64, = 0.005), and with hypertension (OR 2.07, = 0.003). Whereas, rs6410 was related to a lower susceptibility to IS in subjects aged >63 years (OR 0.43, = 0.032), of female gender (OR 0.30, = 0.006), do not smoke (OR 0.42, = 0.017), and with hypertension (OR 0.52, = 0.022). Besides, rs4736312 reduced the IS susceptibility in non-smokers (OR 0.69, = 0.031). Rs4534 had a risk-decreasing impact on IS in non-drinking (OR 0.54, = 0.016). Moreover, the results of the MDR analysis corroborate that the best prediction model for IS was rs5283.
This study revealed that gene polymorphisms strongly correlated with IS in the Chinese Han population.
缺血性卒中（IS）是死亡和残疾的主要原因。虽然先前的研究证实[具体因素]与IS密切相关，但本研究旨在分析[具体基因]基因多态性对IS易感性的影响。
本研究对来自IS患者和对照人群的外周血样本中的[具体基因]的六个单核苷酸多态性（SNP）（包括rs4736312、rs5017238、rs5301、rs5283、rs6410和rs4534）进行基因分型。采用逻辑回归分析来分析SNP与IS风险之间的关联。使用多因素降维（MDR）方法来确定SNP-SNP相互作用在IS中的作用。
本研究表明，rs5283与IS易感性增加相关[比值比（OR）1.81，P = 0.012]。相反，rs6410对IS风险具有保护作用（OR 0.56；P = 0.020）。分层分析表明，rs5283可增加年龄>63岁（OR 2.41，P = 0.011）、女性（OR 3.31，P = 0.001）、不吸烟（OR 1.64，P = 0.005）以及患有高血压（OR 2.07，P = 0.003）的受试者发生IS的风险。而rs6410与年龄>63岁（OR 0.43，P = 0.032）、女性（OR 0.30，P = 0.006）、不吸烟（OR 0.42，P = 0.017）以及患有高血压（OR 0.52，P = 0.022）的受试者对IS的较低易感性相关。此外，rs4736312降低了不吸烟者的IS易感性（OR 0.69，P = 0.031）。rs4534对不饮酒者的IS具有降低风险的作用（OR 0.54，P = 0.016）。此外，MDR分析结果证实，IS的最佳预测模型是rs5283。
本研究表明，[具体基因]基因多态性与中国汉族人群的IS密切相关。
