SynthesisOncotarget2016
A comprehensive meta-analysis of genetic associations between five key SNPs and colorectal cancer risk.
Synthesis in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- SMAD7 rs4939827 variant contributes to colorectal cancer risk in Chinese population.Oncotarget · 2017Pooled it
- Prediction of Skin Color Using Forensic DNA Phenotyping in Asian Populations: A Focus on Thailand.Biomolecules · 2025Review
- Association of four genetic variants with colorectal cancer in Kazakhstan population.Oncotarget · 2021Article
- Relationship between rs6715345 Polymorphisms of MIR-375 Gene and rs4939827 of SMAD-7 Gene in Women with Breast Cancer and Healthy Women: A Case-Control Study.Asian Pacific journal of cancer prevention : APJCP · 2020Article
- Article
- Association of Selenoprotein and Selenium Pathway Genotypes with Risk of Colorectal Cancer and Interaction with Selenium Status.Nutrients · 2019Article
- Observational
- Japanese genome-wide association study identifies a significant colorectal cancer susceptibility locus at chromosome 10p14.Cancer science · 2017Article
- Association of insertion-deletions polymorphisms with colorectal cancer risk and clinical features.World journal of gastroenterology · 2017Article
- Common genetic variant rs3802842 in 11q23 contributes to colorectal cancer risk in Chinese population.Oncotarget · 2017Article
- Association between 8q24 rs6983267 polymorphism and cancer susceptibility: a meta-analysis involving 170,737 subjects.Oncotarget · 2017Article
- Genetic variants within the cancer susceptibility region 8q24 and ovarian cancer risk in Han Chinese women.Oncotarget · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genome-wide association studies (GWAS) on colorectal cancer (CRC) have identified dozens of single nucleotide polymorphisms (SNPs) in more than 19 independent loci associated with CRC. Due to the heterogeneity of the studied subjects and the contrary results, it is challenging to verify the certainty of the association between these loci and CRC.We conducted a critical review of the published studies of SNPs associated with CRC. Five most frequently reported SNPs, which are rs6983267/8q24.21, rs4939827/18q21.1, rs10795668/10p14, rs4444235/14q22.2 and rs4779584/ 15q13.3, were selected for the current study from the qualified studies. Then meta-analyses based on larger sample sizes with average of 33,000 CRC cases and 34,000 controls were performed to assess the association between SNPs and CRC risk. Heterogeneity among studies and publication bias were assessed by the χ2-based Q statistic test Begg's funnel plot or Egger's test, respectively.Our meta-analysis confirmed significant associations of the five SNPs with CRC risk under different genetic models. Two risk variants at rs6983267 {Odds Ratio (OR) 1.388, 95% Confidence Interval (CI) 1.180-1.8633} and rs10795668 (OR 1.323, 95% CI 1.062-1.648) had the highest ORs in homogeneous model. While ORs of the other three variants at rs4939827 {OR 1.298, 95% CI 1.135-1.483}, rs4779584 (OR 1.261, 95% CI 1.146-1.386) and rs4444235 (OR 1.160, 95% CI 1.106-1.216) were also statistically significant. Sensitivity analyses and publication bias assessment indicated the robust stability and reliability of the results.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.