ArticleFrontiers in genetics2019
Testing Mediation Effects in High-Dimensional Epigenetic Studies.
Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed.
- Differential DNA methylation in blood as potential mediator of the association between ambient PMMolecular psychiatry · 2026Article
- Gene set mediation analysis in high-dimensional epigenetic studies.Briefings in bioinformatics · 2026Article
- Evaluating Methods for High-Dimensional Mediation in Metabolomics Data.Environmental science & technology · 2026Article
- BHMnet: Bayesian high-dimensional mediation analysis with network information integration for correlated mediators.Briefings in bioinformatics · 2026Article
- Bayesian Variable Selection for High-Dimensional Mediation Analysis: Application to Metabolomics Data in Epidemiological Studies.Statistics in medicine · 2026Article
- Speeding up interval estimation for R2-based mediation effect of high-dimensional mediators via cross-fitting.Biostatistics (Oxford, England) · 2025Article
- Epigenetic mediation may explain intergenerational associations between maternal obesogenic lifestyle and children's birth weight: findings from the NorthPop prospective birth cohort.Clinical epigenetics · 2025Article
- HILAMA: High-dimensional multi-omics mediation analysis with latent confounding.BMC medical research methodology · 2025Article
- Placental DNA methylation key topics: sex- and cell-type specificity, mediation, multi-omics, and biomarker discovery.Epigenomics · 2025Review
- High-dimensional mediation analysis for longitudinal mediators and survival outcomes.Briefings in bioinformatics · 2025Article
- High-dimensional mediation analysis reveals the mediating role of physical activity patterns in genetic pathways leading to AD-like brain atrophy.BioData mining · 2025Article
- CRAmed: a conditional randomization test for high-dimensional mediation analysis in sparse microbiome data.Bioinformatics (Oxford, England) · 2025Article
- A novel strategy for detecting multiple mediators in high-dimensional mediation models.Frontiers in psychiatry · 2025Article
- Speeding up interval estimation forbioRxiv : the preprint server for biology · 2024Article
- Integrating Multi-Omics with environmental data for precision health: A novel analytic framework and case study on prenatal mercury induced childhood fatty liver disease.Environment international · 2024Article
- High-dimensional mediation analysis for continuous outcome with confounders using overlap weighting method in observational epigenetic study.BMC medical research methodology · 2024Article
- Epigenetic Responses to Nonchemical Stressors: Potential Molecular Links to Perinatal Health Outcomes.Current environmental health reports · 2024Review
- Collider bias correction for multiple covariates in GWAS using robust multivariable Mendelian randomization.PLoS genetics · 2024Article
- Methods for mediation analysis with high-dimensional DNA methylation data: Possible choices and comparisons.PLoS genetics · 2023Article
- High-Dimensional Mediation Analysis: A New Method Applied to Maternal Smoking, Placental DNA Methylation, and Birth Outcomes.Environmental health perspectives · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mediation analysis has been a powerful tool to identify factors mediating the association between exposure variables and outcomes. It has been applied to various genomic applications with the hope to gain novel insights into the underlying mechanism of various diseases. Given the high-dimensional nature of epigenetic data, recent effort on epigenetic mediation analysis is to first reduce the data dimension by applying high-dimensional variable selection techniques, then conducting testing in a low dimensional setup. In this paper, we propose to assess the mediation effect by adopting a high-dimensional testing procedure which can produce unbiased estimates of the regression coefficients and can properly handle correlations between variables. When the data dimension is ultra-high, we first reduce the data dimension from ultra-high to high by adopting a sure independence screening (SIS) method. We apply the method to two high-dimensional epigenetic studies: one is to assess how DNA methylations mediate the association between alcohol consumption and epithelial ovarian cancer (EOC) status; the other one is to assess how methylation signatures mediate the association between childhood maltreatment and post-traumatic stress disorder (PTSD) in adulthood. We compare the performance of the method with its counterpart
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