中国人群中动脉硬化性脑小血管病易感基因及预测模型的研究

目的探讨与脑小血管病有关的易感基因及基因预测模型。 方法对共792例4组研究对象的脱氧核糖核酸(deoxyribonucleic acid,DNA)样本应用SNaPshot单核苷酸多态性(single nucleotide polymorphisms,SNP)分型技术进行19个候选基因55个SNP位点分型,在5种遗传模型下对脑小血管病与非卒中对照组个体之间分析,并进行各组之间差异显著性检验及危险因素分析。应用了SAS软件构建预测模型。结果脑小血管病与非卒中对照组个体差异性检验,肌球蛋白轻链激酶基因(myosin light chain kinase,MYLK)SNP位点rs2222823杂合子...

Full description

Saved in:
Bibliographic Details
Published in中国卒中杂志 Vol. 9; no. 9; pp. 743 - 750
Main Author 李伟 胡波 李桂林 张在强 王拥军
Format Journal Article
LanguageChinese
Published 100050,北京首都医科大学附属北京天坛医院神经内科%Department of Quantitative Health Sciences,Cleveland Clinic,Cleveland,OH,USA%首都医科大学附属神经外科研究所神经病理科 2014
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:目的探讨与脑小血管病有关的易感基因及基因预测模型。 方法对共792例4组研究对象的脱氧核糖核酸(deoxyribonucleic acid,DNA)样本应用SNaPshot单核苷酸多态性(single nucleotide polymorphisms,SNP)分型技术进行19个候选基因55个SNP位点分型,在5种遗传模型下对脑小血管病与非卒中对照组个体之间分析,并进行各组之间差异显著性检验及危险因素分析。应用了SAS软件构建预测模型。结果脑小血管病与非卒中对照组个体差异性检验,肌球蛋白轻链激酶基因(myosin light chain kinase,MYLK)SNP位点rs2222823杂合子(A/T)的优势比(odds ratio,OR)为0.52[95%可信区间(confidence interval,CI)(0.35~0.79),P=0.002,校正P=0.031];细胞周期依赖性激酶抑制基因2A(inhibitor of cdk 4/alternative reading frame,INK4/ARF)SNP位点rs2811712杂合子(C/T)的OR值为1.75[95%CI 1.13~2.71,P=0.004,校正P=0.050]。脑小血管病与高血压性脑出血患者差异性检验, rs2222823位点的P值为0.035。脑小血管病与大动脉硬化性脑血管病患者差异性检验,非糖尿病患者及饮酒患者在rs2222823位点P值分别为0.012和0.018;高脂血症及饮酒患者在rs2811712位点P值分别为0.029和0.04。构建预测模型的基尼指数为0.442。 结论 MYLK和INK4/ARF基因与中国人群中动脉硬化性脑小血管病有相关性,rs2222823杂合子(A/T)有减缓脑小血管病患病率作用,而rs2811712杂合子(C/T)对脑小血管病的患病率具有促进作用。
Bibliography:11-5434/R
Cerebral small vessel disease;Susceptibility genes;Heterozygote genotype
LI Wei, HU Bo, LI Gui-Lin, ZHANG Zai-Qiang, WANG Yong-Jun (Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China)
Objective To investigate the association between cerebral small vessel disease (CSVD) and susceptibility loci and candidate genes. Methods Seven hundred and ninety-two subjects admitted to Beijing Tiantan Hospital were divided into four groups. Fifty-five single nucleotide polymorphisms (SNPs) in 19 genes were genotyped using Multiplex Snapshot assay. Each SNP was ifrst examined between the groups S and C in ifve genetic models. The signiifcant SNP loci were further analyzed in comparing S with L and H, respectively. Subgroup analysis was also performed for each risk-factor category. The SAS software was applied to build predictive models. 〈br〉 Results rs2222823 and rs2811712 were found to be significantly associated with CSVD after multiple-testing adjustment. The heteroz
ISSN:1673-5765
DOI:10.3969/j.issn.1673-5765.2014.09.006