ArticleJournal of human genetics2018
Mediation analysis of alcohol consumption, DNA methylation, and epithelial ovarian cancer.
Article in Journal of human genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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
16 citing papers in PubMed, 26 citations in OpenAlex.
- Use of causal inference methods in case-control studies: a methodology review.American journal of epidemiology · 2026Review
- Alcohol Consumption and Breast and Ovarian Cancer Development: Molecular Pathways and Mechanisms.Current issues in molecular biology · 2024Review
- Methods for large-scale single mediator hypothesis testing: Possible choices and comparisons.Genetic epidemiology · 2023Review
- Mediation analysis of multiple mediators with incomplete omics data.Genetic epidemiology · 2023Article
- Article
- A Review of High-Dimensional Mediation Analyses in DNA Methylation Studies.Methods in molecular biology (Clifton, N.J.) · 2022Review
- High-Dimensional DNA Methylation Mediates the Effect of Smoking on Crohn's Disease.Frontiers in genetics · 2022Article
- Review
- Longitudinal data reveal strong genetic and weak non-genetic components of ethnicity-dependent blood DNA methylation levels.Epigenetics · 2021Article
- Gene-based mediation analysis in epigenetic studies.Briefings in bioinformatics · 2021Article
- Review of Mendelian Randomization Studies on Ovarian Cancer.Frontiers in oncology · 2021Review
- Statistical methods for mediation analysis in the era of high-throughput genomics: Current successes and future challenges.Computational and structural biotechnology journal · 2021Review
- DNA Methylation in Ovarian Cancer Susceptibility.Cancers · 2020Review
- Genetic Data from Nearly 63,000 Women of European Descent Predicts DNA Methylation Biomarkers and Epithelial Ovarian Cancer Risk.Cancer research · 2019Article
- Testing Mediation Effects in High-Dimensional Epigenetic Studies.Frontiers in genetics · 2019Article
- Article
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 2 countries.
Funding
Abstract
Epigenetic factors and consumption of alcohol, which suppresses DNA methylation, may influence the development and progression of epithelial ovarian cancer (EOC). However, there is a lack of understanding whether these factors interact to affect the EOC risk. In this study, we aimed to gain insight into this relationship by identifying leukocyte-derived DNA methylation markers acting as potential mediators of alcohol-associated EOC. We implemented a causal inference test (CIT) and the VanderWeele and Vansteelandt multiple mediator model to examine CpG sites that mediate the association between alcohol consumption and EOC risk. We modified one step of the CIT by adopting a high-dimensional inference procedure. The data were based on 196 cases and 202 age-matched controls from the Mayo Clinic Ovarian Cancer Case-Control Study. Implementation of the CIT test revealed two CpG sites (cg09358725, cg11016563), which represent potential mediators of the relationship between alcohol consumption and EOC case-control status. Implementation of the VanderWeele and Vansteelandt multiple mediator model further revealed that these two CpGs were the key mediators. Decreased methylation at both CpGs was more common in cases who drank alcohol at the time of enrollment vs. those who did not. cg11016563 resides in TRPC6 which has been previously shown to be overexpressed in EOC. These findings suggest two CpGs may serve as novel biomarkers for EOC susceptibility.
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Registered trials
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.