Behavioural brain research · 2016
Gene- gene interaction between CYP2J2 and PPAR -γ gene on late-onset Alzheimer's disease in the eastern Chinese Han population.
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Geng Shuang, Wang Yutong, Sun Yongmei, Li Jinfeng, Yin Honglei, Zeng Zhilei, Yang Xiaopeng, Zhang Yuzhen, Wang Yunliang
Аннотация
AIMS: 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.
METHODS: 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.
RESULTS: 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.
CONCLUSIONS: 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.
METHODS: 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.
RESULTS: 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.
CONCLUSIONS: 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.
Предметные рубрики MeSH
Age of OnsetAged, 80 and overAlzheimer DiseaseAsian PeopleCase-Control StudiesChinaCytochrome P-450 CYP2J2Cytochrome P-450 Enzyme SystemEpistasis, GeneticFemaleGenetic Association StudiesGenetic Predisposition to DiseaseHaplotypesHumansLogistic ModelsMaleOdds RatioPPAR gammaPolymorphism, Single Nucleotide