SynthesisBMC medical genetics2015
Association of 42 SNPs with genetic risk for cervical cancer: an extensive meta-analysis.
Synthesis in BMC medical genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Meta-Analysis of Polymorphic Variants Conferring Genetic Risk to Cervical Cancer in Indian Women Supports CYP1A1 as an Important Associated LocusAsian Pacific journal of cancer prevention : APJCP · 2018Pooled it
- Cervical Cancer Genetic Susceptibility: A Systematic Review and Meta-Analyses of Recent Evidence.PloS one · 2016Pooled it
- Integrating Biomarkers into Cervical Cancer Screening-Advances in Diagnosis and Risk Prediction: A Narrative Review.Diagnostics (Basel, Switzerland) · 2025Review
- Human Papillomavirus Carcinogenicity and the Need of New Perspectives: Thoughts from a Retrospective Analysis on Human Papillomavirus Outcomes Conducted at the Hospital University of Bari, Apulia, Italy, between 2011 and 2022.Diagnostics (Basel, Switzerland) · 2024Article
- Risk factors for the development of cervical cancer: analysis of the evidence.Frontiers in oncology · 2024Review
- Genetic Predisposition to Persistent Human Papillomavirus-Infection and Virus-Induced Cancers.Microorganisms · 2021Review
- APOBEC: A molecular driver in cervical cancer pathogenesis.Cancer letters · 2021Review
- Article
- Cervical Carcinogenesis and Immune Response Gene Polymorphisms: A Review.Journal of immunology research · 2017Review
- Exploratory Analysis of Candidate Gene SNPs in Relation to Cervical Cancer Susceptibility in Georgian Women.Cancer control : journal of the Moffitt Cancer CenterArticle
Corrections and comments
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Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
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 (1.83[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.
conclusionOur meta-analysis provides a comprehensive evaluation of cervical cancer association studies.
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