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

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 com...

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Detalles Bibliográficos
Autores principales: Wang, Shaoshuai, Sun, Haiying, Jia, Yao, Tang, Fangxu, Zhou, Hang, Li, Xiong, Zhou, Jin, Huang, Kecheng, Zhang, Qinghua, Hu, Ting, Yang, Ru, Wang, Changyu, Xi, Ling, Deng, Dongrui, Wang, Hui, Wang, Shixuan, Ma, Ding, Li, Shuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4436168/
https://www.ncbi.nlm.nih.gov/pubmed/25928231
http://dx.doi.org/10.1186/s12881-015-0168-z
Descripción
Sumario: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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12881-015-0168-z) contains supplementary material, which is available to authorized users.