Association of 42 SNPs with genetic risk for cervical cancer: an extensive meta-analysis

BMC Medical Genetics

Shuang Li²  Ding Ma²  Shixuan Wang²  Hui Wang²  Dongrui Deng²  Ling Xi²  Changyu Wang²  Ru Yang¹  Ting Hu²  Qinghua Zhang³  Kecheng Huang²  Jin Zhou²  Xiong Li²  Hang Zhou²  Fangxu Tang²  Yao Jia²  Haiying Sun²  Shaoshuai Wang² 

[1] Department of Obstetrics tumor, The tumor hospital of henan province, Zhengzhou 450008, P.R. China;Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 jiefang road, Wuhan 430030, P.R. China;Department of Gynecology & Obstetrics, the Central Hospital of Wuhan, Wuhan 430032, P.R. China

关键词: Meta-analysis;    Susceptibility;    Single nucleotide polymorphism;    Cervical cancer;   

Others  :  1177676
DOI  :  10.1186/s12881-015-0168-z

 received in 2014-06-10, accepted in 2015-03-27,  发布年份 2015

【 摘 要 】

Background

A large number of single nucleotide polymorphisms (SNPs) associated with cervical cancer have been identified through candidate gene association studies and genome-wide association studies (GWAs). However, some studies have yielded different results for the same SNP. To obtain a more comprehensive understanding, we performed a meta-analysis on previously published case–control studies involving the SNPs associated with cervical cancer.

Methods

Electronic searches of PubMed and Embase were conducted for all publications about the association between gene polymorphisms and cervical cancer. One-hundred and sixty-seven association studies were included in our research. For each SNP, three models (the allele, dominant and recessive effect models) were adopted in the meta-analysis. For each model, the effect summary odds ratio (OR) and 95% CI were calculated. Heterogeneity between studies was evaluated by Cochran’s Q test. If the p value of Q test was less than 0.01, a random effect model was used; otherwise, a fixed effect model was used.

Results

The results of our meta-analysis showed that: (1) There were 8, 2 and 8 SNPs that were significantly associated with cervical cancer (P < 0.01) in the allele, dominant and recessive effect models, respectively. (2) rs1048943 (CYP1A1 A4889G) showed the strongest association with cervical cancer in the allele effect model (1.83[1.57, 2.13]); in addition, rs1048943 (CYP1A1 A4889G) had a very strong association in the dominant and recessive effect model. (3) 15, 11 and 10 SNPs had high heterogeneity (P < 0.01) in the three models, respectively. (4) There was no published bias for most of the SNPs according to Egger’s test (P < 0.01) and Funnel plot analysis. For some SNPs, their association with cervical cancer was only tested in a few studies and, therefore, might have been subjected to published bias. More studies on these loci are required.

Conclusion

Our meta-analysis provides a comprehensive evaluation of cervical cancer association studies.

【 授权许可】

   
2015 Wang et al.; licensee BioMed Central .

【 图 表 】

Figure 1.

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