ArticleGenetic epidemiology2017
Testing for the indirect effect under the null for genome-wide mediation analyses.
Article in Genetic epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 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.
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Who cites it
40 citing papers in PubMed.
- High-throughput mediation analysis of human proteome and metabolome identifies mediators of post-bariatric surgical diabetes control.Nature communications · 2021Trial
- High-throughput mediation analysis of human proteome and metabolome identifies mediators of post-bariatric surgical diabetes control.Nature communications · 2021Trial
- Estimating in silico causal effects of DNA methylation on gene expression through genetic anchors in airway epithelium in asthma.Science advances · 2026Article
- A multi-omics framework for survival mediation analysis of high-dimensional proteogenomic data.PLoS computational biology · 2026Article
- HILAMA: High-dimensional multi-omics mediation analysis with latent confounding.BMC medical research methodology · 2025Article
- Causal Mediation Analysis for Integrating Exposure, Genomic, and Phenotype Data.Annual review of statistics and its application · 2025Article
- Testing a Large Number of Composite Null Hypotheses Using Conditionally Symmetric Multidimensional Gaussian Mixtures in Genome-Wide Studies.Journal of the American Statistical Association · 2025Article
- ScreenDMT reveals DiHOMEs are replicably inversely associated with BMI and stimulate adipocyte calcium influx.Communications biology · 2024Article
- Adaptive bootstrap tests for composite null hypotheses in the mediation pathway analysis.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2024Article
- Genome-wide multimediator analyses using the generalized Berk-Jones statistics with the composite test.Bioinformatics (Oxford, England) · 2023Article
- ScreenDMT reveals linoleic acid diols replicably associate with BMI and stimulate adipocyte calcium fluxes.bioRxiv : the preprint server for biology · 2023Article
- Exploring the mediation of DNA methylation across the epigenome between childhood adversity and First Episode of Psychosis-findings from the EU-GEI study.Molecular psychiatry · 2023Article
- PhyloMed: a phylogeny-based test of mediation effect in microbiome.Genome biology · 2023Article
- Methods for large-scale single mediator hypothesis testing: Possible choices and comparisons.Genetic epidemiology · 2023Review
- Is the Product Method More Efficient Than the Difference Method for Assessing Mediation?American journal of epidemiology · 2023Article
- A unified mediation analysis framework for integrative cancer proteogenomics with clinical outcomes.Bioinformatics (Oxford, England) · 2023Article
- How can childhood maltreatment affect post-traumatic stress disorder in adult: Results from a composite null hypothesis perspective of mediation analysis.Frontiers in psychiatry · 2023Article
- Duration of exposure to epidural anesthesia at delivery, DNA methylation in umbilical cord blood and their association with offspring asthma in Non-Hispanic Black women.Environmental epigenetics · 2023Article
- Detecting associated genes for complex traits shared across East Asian and European populations under the framework of composite null hypothesis testing.Journal of translational medicine · 2022Article
- Efficient estimation of indirect effects in case-control studies using a unified likelihood framework.Statistics in medicine · 2022Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Mediation analysis helps researchers assess whether part or all of an exposure's effect on an outcome is due to an intermediate variable. The indirect effect can help in designing interventions on the mediator as opposed to the exposure and better understanding the outcome's mechanisms. Mediation analysis has seen increased use in genome-wide epidemiological studies to test for an exposure of interest being mediated through a genomic measure such as gene expression or DNA methylation (DNAm). Testing for the indirect effect is challenged by the fact that the null hypothesis is composite. We examined the performance of commonly used mediation testing methods for the indirect effect in genome-wide mediation studies. When there is no association between the exposure and the mediator and no association between the mediator and the outcome, we show that these common tests are overly conservative. This is a case that will arise frequently in genome-wide mediation studies. Caution is hence needed when applying the commonly used mediation tests in genome-wide mediation studies. We evaluated the performance of these methods using simulation studies, and performed an epigenome-wide mediation association study in the Normative Aging Study, analyzing DNAm as a mediator of the effect of pack-years on FEV
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