Association of 42 SNPs with genetic risk for cervical cancer: an extensive meta-analysisReportar como inadecuado




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BMC Medical Genetics

, 16:25

Genetic epidemiology and genetic associations

Abstract

BackgroundA 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.

MethodsElectronic 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.

ResultsThe 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 1.831.57, 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.

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

KeywordsCervical cancer Single nucleotide polymorphism Susceptibility Meta-analysis AbbreviationsSNPSingle nucleotide polymorphisms

GWASGenome-wide association studies

OROdds ratio

CIConfidence interval

Shaoshuai Wang and Haiying Sun contributed equally to this work.

Electronic supplementary materialThe online version of this article doi:10.1186-s12881-015-0168-z contains supplementary material, which is available to authorized users.

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Autor: Shaoshuai Wang - Haiying Sun - Yao Jia - Fangxu Tang - Hang Zhou - Xiong Li - Jin Zhou - Kecheng Huang - Qinghua Zhang -

Fuente: https://link.springer.com/







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