ArticlePLoS computational biology2020
High-dimensional mediation analysis in survival models.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 45 citations in OpenAlex.
- A multi-omics framework for survival mediation analysis of high-dimensional proteogenomic data.PLoS computational biology · 2026Article
- Bayesian Image Mediation Analysis.Journal of the American Statistical Association · 2026Article
- CoxMDS: multiple data splitting for high-dimensional mediation analysis with survival outcomes in epigenome-wide studies.Briefings in bioinformatics · 2026Article
- HILAMA: High-dimensional multi-omics mediation analysis with latent confounding.BMC medical research methodology · 2025Article
- Post-selection inference for high-dimensional mediation analysis with survival outcomes.Scandinavian journal of statistics, theory and applications · 2025Article
- High-dimensional mediation analysis for longitudinal mediators and survival outcomes.Briefings in bioinformatics · 2025Article
- A novel strategy for detecting multiple mediators in high-dimensional mediation models.Frontiers in psychiatry · 2025Article
- Mediation analysis in longitudinal study with high-dimensional methylation mediators.Briefings in bioinformatics · 2024Article
- High-dimensional mediation analysis for continuous outcome with confounders using overlap weighting method in observational epigenetic study.BMC medical research methodology · 2024Article
- MASH: MEDIATION ANALYSIS OF SURVIVAL OUTCOME AND HIGH-DIMENSIONAL OMICS MEDIATORS WITH APPLICATION TO COMPLEX DISEASES.The annals of applied statistics · 2024Article
- A new framework for exploratory network mediator analysis in omics data.Genome research · 2024Article
- MASH: MEDIATION ANALYSIS OF SURVIVAL OUTCOME AND HIGH-DIMENSIONAL OMICS MEDIATORS WITH APPLICATION TO COMPLEX DISEASES.bioRxiv : the preprint server for biology · 2024Article
- High-dimensional quantile mediation analysis with application to a birth cohort study of mother-newborn pairs.Bioinformatics (Oxford, England) · 2024Article
- Model Selection for Exposure-Mediator Interaction.Data science in science · 2024Article
- False discovery rate-controlled multiple testing for union null hypotheses: a knockoff-based approach.Biometrics · 2023Article
- Smoking, blood DNA methylation sites and lung cancer risk.Environmental pollution (Barking, Essex : 1987) · 2023Article
- Instrumental variable-based high-dimensional mediation analysis with unmeasured confounders for survival data in the observational epigenetic study.Frontiers in genetics · 2023Article
- Linear high-dimensional mediation models adjusting for confounders using propensity score method.Frontiers in genetics · 2022Article
- Mediation analysis for survival data with high-dimensional mediators.Bioinformatics (Oxford, England) · 2021Article
- Estimation of total mediation effect for high-dimensional omics mediators.BMC bioinformatics · 2021Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mediation analysis with high-dimensional DNA methylation markers is important in identifying epigenetic pathways between environmental exposures and health outcomes. There have been some methodology developments of mediation analysis with high-dimensional mediators. However, high-dimensional mediation analysis methods for time-to-event outcome data are still yet to be developed. To address these challenges, we propose a new high-dimensional mediation analysis procedure for survival models by incorporating sure independent screening and minimax concave penalty techniques for variable selection, with the Sobel and the joint method for significance test of indirect effect. The simulation studies show good performance in identifying correct biomarkers, false discovery rate control, and minimum estimation bias of the proposed procedure. We also apply this approach to study the causal pathway from smoking to overall survival among lung cancer patients potentially mediated by 365,307 DNA methylations in the TCGA lung cancer cohort. Mediation analysis using a Cox proportional hazards model estimates that patients who have serious smoking history increase the risk of lung cancer through methylation markers including cg21926276, cg27042065, and cg26387355 with significant hazard ratios of 1.2497(95%CI: 1.1121, 1.4045), 1.0920(95%CI: 1.0170, 1.1726), and 1.1489(95%CI: 1.0518, 1.2550), respectively. The three methylation sites locate in the three genes which have been showed to be associated with lung cancer event or overall survival. However, the three CpG sites (cg21926276, cg27042065 and cg26387355) have not been reported, which are newly identified as the potential novel epigenetic markers linking smoking and survival of lung cancer patients. Collectively, the proposed high-dimensional mediation analysis procedure has good performance in mediator selection and indirect effect estimation.
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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.