ReviewComputational and structural biotechnology journal2021
Statistical methods for mediation analysis in the era of high-throughput genomics: Current successes and future challenges.
Review in Computational and structural biotechnology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.
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Who cites it
60 citing papers in PubMed.
- Differential DNA methylation in blood as potential mediator of the association between ambient PMMolecular psychiatry · 2026Article
- ADHD Symptoms and Cannabis Use: The Role of Cannabinoid Receptor 1 and Neural Response Inhibition.medRxiv : the preprint server for health sciences · 2026Article
- Kinesiophobia and Work Disability in Fibromyalgia: Cognitive Mediation in a Population-Based Study of Women.European journal of investigation in health, psychology and education · 2026Article
- Long-read assembly reveals vast transcriptional complexity in the placenta associated with metabolic and endocrine function.Nature communications · 2026Article
- Integrative Analysis of Multimodal Omics Data.Annual review of statistics and its application · 2026Article
- MELODY: Mediation Analysis in Logistic Regression for High-Dimensional Mediators and a Binary Outcome.Genetic epidemiology · 2026Article
- Shared Genetic Basis and Causality Between Epilepsy and Psychiatric Disorders: Evidence From a Comprehensive Genetic Analysis.Brain and behavior · 2026Article
- Evaluating Methods for High-Dimensional Mediation in Metabolomics Data.Environmental science & technology · 2026Article
- Identifying pleiotropic genes for backfat thickness and semen traits in pigs using GWAS summary data.Journal of animal science · 2026Article
- BHMnet: Bayesian high-dimensional mediation analysis with network information integration for correlated mediators.Briefings in bioinformatics · 2026Article
- Microbiome mediation analysis: methods, assumptions, and practical considerations.Frontiers in cellular and infection microbiology · 2026Review
- Speeding up interval estimation for R2-based mediation effect of high-dimensional mediators via cross-fitting.Biostatistics (Oxford, England) · 2025Article
- MELODY: Mediation Analysis in Logistic Regression for High-Dimensional Mediators and a Binary Outcome.bioRxiv : the preprint server for biology · 2025Article
- HILAMA: High-dimensional multi-omics mediation analysis with latent confounding.BMC medical research methodology · 2025Article
- High-dimensional causal mediation analysis by partial sum statistic and sample splitting strategy in imaging genetics application.Bioinformatics (Oxford, England) · 2025Article
- Placental DNA methylation key topics: sex- and cell-type specificity, mediation, multi-omics, and biomarker discovery.Epigenomics · 2025Review
- An approach to uncover significant direct and mediated relationships in multi-dimensional new approach methods (NAMs) data: A case study of hazard evaluation of petroleum UVCBs.The Science of the total environment · 2025Article
- Exploring the role of microbiome in cystic fibrosis clinical outcomes through a mediation analysis.mSystems · 2025Article
- Debiased machine learning for ultra-high dimensional mediation analysis.Bioinformatics (Oxford, England) · 2025Article
- Amyotrophic Lateral Sclerosis and Risk of Common Cancer: Mendelian Randomization Interrogation of Causality and Mediation.Phenomics (Cham, Switzerland) · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
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Abstract
Mediation analysis investigates the intermediate mechanism through which an exposure exerts its influence on the outcome of interest. Mediation analysis is becoming increasingly popular in high-throughput genomics studies where a common goal is to identify molecular-level traits, such as gene expression or methylation, which actively mediate the genetic or environmental effects on the outcome. Mediation analysis in genomics studies is particularly challenging, however, thanks to the large number of potential mediators measured in these studies as well as the composite null nature of the mediation effect hypothesis. Indeed, while the standard univariate and multivariate mediation methods have been well-established for analyzing one or multiple mediators, they are not well-suited for genomics studies with a large number of mediators and often yield conservative p-values and limited power. Consequently, over the past few years many new high-dimensional mediation methods have been developed for analyzing the large number of potential mediators collected in high-throughput genomics studies. In this work, we present a thorough review of these important recent methodological advances in high-dimensional mediation analysis. Specifically, we describe in detail more than ten high-dimensional mediation methods, focusing on their motivations, basic modeling ideas, specific modeling assumptions, practical successes, methodological limitations, as well as future directions. We hope our review will serve as a useful guidance for statisticians and computational biologists who develop methods of high-dimensional mediation analysis as well as for analysts who apply mediation methods to high-throughput genomics studies.
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