Geng Shuang, Wang Yutong, Sun Yongmei, Li Jinfeng, Yin Honglei, Zeng Zhilei, Yang Xiaopeng, Zhang Yuzhen, Wang Yunliang
Department of Neurology, PLA 148 Hospital, Zi bo, Shandong, 255300, China.
School of Medicine of Henan University, Kaifeng, Henan, 475001, China.
Behav Brain Res. 2017 Mar 30;322(Pt B):362-367. doi: 10.1016/j.bbr.2016.07.010. Epub 2016 Jul 7.
To investigate the impact of PPAR -γ and CYP2J2 gene single nucleotide polymorphisms (SNPs) and gene- gene interactions on late-onset Alzheimer's disease (LOAD) risk in Chinese Han population.
A total of 880 participants (514 males, 366 females), with a mean age of 81.7±15.9years old are selected, including 430 LOAD patients and 450 normal participants. Generalized multifactor dimensionality reduction (GMDR) is used to examine interaction among six SNPs, odds ratio (OR) and 95% confident interval (95%CI) are calculated by Logistic regression model.
Logistic regression analysis showed that increased LOAD risks are associated with T allele of the rs1155002 polymorphism, adjusted OR (95%CI)=1.46 (1.12-1.90), and T allele of the rs890293 polymorphism, adjusted OR (95%CI)=1.65 (1.30-2.06), and G allele of the rs1805192 polymorphism, adjusted OR (95%CI)=1.70 (1.25-2.27). We also found a potential gene-gene interaction between rs890293 and rs1805192. Participants with GT or TT of rs890293 and CG or GG of rs1805192 genotype have the highest LOAD risk, compared to participants with GG of rs890293 and CC of rs1805192 genotype, OR (95%CI)=2.22 (1.63 -2.85), after covariates adjustment.
rs1155002, rs890293 and rs1805192 polymorphism are associated with increased LOAD risk. Participants with GT or TT of rs890293 and CG or GG of rs1805192 genotype have the highest LOAD risk.
研究过氧化物酶体增殖物激活受体γ(PPAR-γ)和细胞色素P450 2J2(CYP2J2)基因单核苷酸多态性(SNP)及其基因-基因相互作用对中国汉族人群晚发型阿尔茨海默病(LOAD)发病风险的影响。
共选取880名参与者(男性514名,女性366名),平均年龄81.7±15.9岁,其中LOAD患者430例,正常参与者450例。采用广义多因素降维法(GMDR)检测6个SNP之间的相互作用,通过Logistic回归模型计算比值比(OR)和95%置信区间(95%CI)。
Logistic回归分析显示,LOAD发病风险增加与rs1155002多态性的T等位基因相关,校正OR(95%CI)=1.46(1.12 - 1.90);与rs890293多态性的T等位基因相关,校正OR(95%CI)=1.65(1.30 - 2.06);与rs1805192多态性的G等位基因相关,校正OR(95%CI)=1.70(1.25 - 2.27)。我们还发现rs890293和rs1805192之间存在潜在的基因-基因相互作用。在校正协变量后,rs890293基因型为GT或TT且rs1805192基因型为CG或GG的参与者患LOAD的风险最高,与rs890293基因型为GG且rs1805192基因型为CC的参与者相比,OR(95%CI)=2.22(1.63 - 2.85)。
rs1155002、rs890293和rs1805192多态性与LOAD发病风险增加相关。rs890293基因型为GT或TT且rs1805192基因型为CG或GG的参与者患LOAD的风险最高。