biostudies-literatureUnknown8(58)Cheng Q<h4>Aims</h4>To investigate the association of several single nucleotide polymorphisms (SNPs) within <i>ACYP2</i> gene and additional gene- environment interaction with ischemic stroke (IS) risk in a Chinese population.<h4>Results</h4>IS risk was significantly higher in carriers with the G allele of rs11896604 than those with CC genotype (CG or GG versus CC), adjusted OR (95%CI) =1.60 (1.18-2.20), and higher in carriers with the A allele of rs12615793 than those with GG genotype (GA or AA versus GG), adjusted OR (95%CI) = 1.66 (1.24-2.15). GMDR model shown a significant two-locus model (<i>p</i> = 0.0010) involving rs11896604 and alcohol drinking, and a significant two-locus model (<i>p</i> = 0.0010) involving rs12615793 and smoking. Current smokers with rs12615793- GA or AA genotype have the highest IS risk, compared to never- smokers with rs12615793-GG genotype, OR (95%CI) = 2.72 (1.64-3.86); current drinkers with rs11896604-CG or GG genotype have the highest IS risk, compared to never- drinkers with rs11896604-CC genotype, OR (95%CI) = 2.51 (1.70-3.40).<h4>Materials and methods</h4>A total of 1202 participants (660 males, 542 females) were selected, including 600 IS patients and 602 control participants. The mean age of all participants was 68.2 ± 15.8 years. Generalized multifactor dimensionality reduction (GMDR) was used to screen the best interaction combination. Logistic regression was performed to investigate the impact of 4 SNPs within <i>ACYP2</i> gene, additional gene-smoking or drinking interaction on IS risk.<h4>Conclusions</h4>We found that the G allele of rs11896604 and the A allele of rs12615793 within <i>ACYP2</i> gene, rs12615793- smoking interaction, and rs11896604-alcohol drinking interaction were all associated with increased IS risk.Oncotarget97913-97919https://www.ebi.ac.uk/biostudies/studies/S-EPMC5716701biostudies-literatureInteractions between <i>ACYP2</i> genetic polymorphisms and environment factors with susceptibility to ischemic stroke in a Han Chinese Population.PMC5716701Lin QCheng QLi YKLu FWei WYin LWang YZfalseInteractions between <i>ACYP2</i> genetic polymorphisms and environment factors with susceptibility to ischemic stroke in a Han Chinese Population.<h4>Aims</h4>To investigate the association of several single nucleotide polymorphisms (SNPs) within <i>ACYP2</i> gene and additional gene- environment interaction with ischemic stroke (IS) risk in a Chinese population.<h4>Results</h4>IS risk was significantly higher in carriers with the G allele of rs11896604 than those with CC genotype (CG or GG versus CC), adjusted OR (95%CI) =1.60 (1.18-2.20), and higher in carriers with the A allele of rs12615793 than those with GG genotype (GA or AA versus GG), adjusted OR (95%CI) = 1.66 (1.24-2.15). GMDR model shown a significant two-locus model (<i>p</i> = 0.0010) involving rs11896604 and alcohol drinking, and a significant two-locus model (<i>p</i> = 0.0010) involving rs12615793 and smoking. Current smokers with rs12615793- GA or AA genotype have the highest IS risk, compared to never- smokers with rs12615793-GG genotype, OR (95%CI) = 2.72 (1.64-3.86); current drinkers with rs11896604-CG or GG genotype have the highest IS risk, compared to never- drinkers with rs11896604-CC genotype, OR (95%CI) = 2.51 (1.70-3.40).<h4>Materials and methods</h4>A total of 1202 participants (660 males, 542 females) were selected, including 600 IS patients and 602 control participants. The mean age of all participants was 68.2 ± 15.8 years. Generalized multifactor dimensionality reduction (GMDR) was used to screen the best interaction combination. Logistic regression was performed to investigate the impact of 4 SNPs within <i>ACYP2</i> gene, additional gene-smoking or drinking interaction on IS risk.<h4>Conclusions</h4>We found that the G allele of rs11896604 and the A allele of rs12615793 within <i>ACYP2</i> gene, rs12615793- smoking interaction, and rs11896604-alcohol drinking interaction were all associated with increased IS risk.2017-01-01T00:00:00Z2017 Nov2024-11-20T10:00:41.918Z2019-03-27T03:03:56ZS-EPMC57167012922866110.18632/oncotarget.18430