Shuhong Li1, Guiqin Li1, Fanqiang Kong2, Zhifen Liu1, Ning Li3, Yan Li3, Xiaojing Guo4. 1. Department of Obstetrics and Gynecology, Yantai Yuhuangding Hospital, Yantai, China. 2. Emergency Department, Yantai Yuhuangding Hospital, Yantai, China. 3. Central Laboratory, Yantai Yuhuangding Hospital, Yantai, China. 4. Department of Reproductive Medicine, Affiliated Hospital of Medical College, Qingdao University, Qingdao, China. guoxjxj8826@sina.com.
Abstract
AIMS: 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. METHODS: 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. RESULTS: 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). CONCLUSIONS: rs4646903 minor alleles and interaction between rs4646903 and rs1048943 were associated with increased cervical cancer risk.
AIMS: 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. METHODS: A total of 728 females with a mean age of 60.1 ± 14.5 years old were selected, including 360 cervical cancerpatients 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. RESULTS: 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). CONCLUSIONS:rs4646903 minor alleles and interaction between rs4646903 and rs1048943 were associated with increased cervical cancer risk.
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