Authors: Xiaowen Pu Zhuowei Gu Xipeng Wang
Publish Date: 2016/08/18
Volume: 294, Issue: 6, Pages: 1305-1310
Abstract
A total of 1088 women were selected including 360 cervical cancer patients and 728 control subjects Logistic regression model was used to examine the association between SNPs within IL6 and cervical cancer risk Odds ratio OR and 95 confident interval 95 CI were calculated Generalized multifactor dimensionality reduction GMDR was employed to analyze the gene–gene interactionCervical cancer risks were significantly higher in carriers of C allele of rs1800795 polymorphism than those with GG genotype GC+CC versus GG adjusted OR 95 CI 160 124–219 and also significantly higher in carriers of G allele of rs2069837 polymorphism than those with AA AG+GG versus AA adjusted OR 95 CI 149 119–207 GMDR analysis found a significant gene–gene interaction between rs1800795 and rs2069837 p = 00010 Overall the twolocus models had a crossvalidation consistency of 10 of 10 and had the testing accuracy of 6172 We also calculated the odds ratios and 95 CI for this interaction and we found that subjects with GC or CC of rs1800795 and AG or GG of rs2069837 genotype have the highest cervical cancer risk compared to subjects with GG of rs1800795 and AA of rs2069837 genotype OR 95 CI 335 201–478The writing of this paper was supported by Shanghai First Maternity Infant Hospital and Shanghai First Maternity and Infant Hospital and Shanghai Key Laboratory of Gynecologic Oncology We thank all the partners and staffs who help us in the process of this study Xiaowen Pu and Zhuowei Gu contributed equally to this workAll procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards
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