Li Shuhong, Li Guiqin, Kong Fanqiang, Liu Zhifen, Li Ning, Li Yan, Guo Xiaojing
Department of Obstetrics and Gynecology, Yantai Yuhuangding Hospital, Yantai, China.
Emergency Department, Yantai Yuhuangding Hospital, Yantai, China.
J Clin Lab Anal. 2016 Nov;30(6):1220-1225. doi: 10.1002/jcla.22006. Epub 2016 Jun 6.
The aim of this study was to investigate the association between CYP1A1 gene polymorphism and cervical cancer risk, and the impact of SNP-SNP interaction on cervical cancer risk in Chinese women.
A total of 728 females with a mean age of 60.1 ± 14.5 years old were selected, including 360 cervical cancer patients and 368 normal controls. Logistic regression was performed to investigate association between single-nucleotide polymorphisms (SNP) and cervical cancer risk. Generalized multifactor dimensionality reduction (GMDR) was used to analyze the SNP-SNP interaction.
Logistic analysis showed a significant association between rs4646903 and increased cervical cancer risk. The carriers of homozygous mutant of rs4646903 polymorphism revealed increased cervical cancer risk than those with wild-type homozygotes, OR (95%CI) were 1.45 (1.20-1.95). There was a significant two-locus model (P = 0.0107) involving rs4646903 and rs1048943, indicating a potential SNP-SNP interaction between rs4646903 and rs1048943. Overall, the two-locus models had a cross-validation consistency of 10 of 10, and had the testing accuracy of 60.72%. Subjects with TC or CC of rs4646903 and AG or GG of rs1048943 genotype have the highest cervical cancer risk, compared to subjects with TT of rs4646903 and AA of rs1048943 genotype, OR (95%CI) was 2.03 (1.42-2.89).
rs4646903 minor alleles and interaction between rs4646903 and rs1048943 were associated with increased cervical cancer risk.
本研究旨在探讨CYP1A1基因多态性与宫颈癌风险之间的关联,以及单核苷酸多态性(SNP)-SNP相互作用对中国女性宫颈癌风险的影响。
共选取728名平均年龄为60.1±14.5岁的女性,其中包括360例宫颈癌患者和368例正常对照。采用逻辑回归分析单核苷酸多态性(SNP)与宫颈癌风险之间的关联。运用广义多因素降维法(GMDR)分析SNP-SNP相互作用。
逻辑分析显示rs4646903与宫颈癌风险增加之间存在显著关联。rs4646903多态性的纯合突变携带者患宫颈癌的风险高于野生型纯合子,比值比(OR)(95%置信区间)为1.45(1.20-1.95)。存在一个涉及rs4646903和rs1048943的显著两位点模型(P = 0.0107),表明rs4646903和rs1048943之间存在潜在的SNP-SNP相互作用。总体而言,两位点模型的交叉验证一致性为10/10,检验准确率为60.72%。与rs4646903为TT且rs1048943为AA基因型的受试者相比,rs4646903为TC或CC且rs1048943为AG或GG基因型的受试者患宫颈癌的风险最高,比值比(OR)(95%置信区间)为2.03(1.42-2.89)。
rs4646903的次要等位基因以及rs4646903与rs1048943之间的相互作用与宫颈癌风险增加有关。