Evidence map›Paper›PMID 34343267›Full record

ArticleBioinformatics (Oxford, England)2021

Mediation analysis for survival data with high-dimensional mediators.

Haixiang Zhang, Yinan Zheng, Lifang Hou, Cheng Zheng, Lei Liu

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

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  9. Post-selection inference for high-dimensional mediation analysis with survival outcomes.Scandinavian journal of statistics, theory and applications · 2025
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  11. Causal Mediation Analysis for Integrating Exposure, Genomic, and Phenotype Data.Annual review of statistics and its application · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Haixiang ZhangCenter for Applied Mathematics, Tianjin University, Tianjin 300072, China.
Yinan ZhengDepartment of Preventive Medicine, Northwestern University, Chicago, IL 60611, USA.
Lifang HouDepartment of Preventive Medicine, Northwestern University, Chicago, IL 60611, USA.
Cheng ZhengDepartment of Biostatistics, University of Nebraska Medical Center, Omaha, NE 68198, USA.ORCID 0000-0002-6562-870X
Lei LiuDivision of Biostatistics, Washington University in St. Louis, St. Louis, MO 63110, USA.ORCID 0000-0003-1844-338X

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Tracking and Evaluation CoreU54GM115458 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI HOLSTEIN, SARAH A · 2016 to 2025
$42.8M
High Dimensional Mediation Analysis for DNA Methylation Markers Mediating Cardiovascular Health Metrics and Cardiovascular DiseasesR21AG063370 · NIA · WASHINGTON UNIVERSITY · PI HOU, LIFANG, LIU, LEI · 2019 to 2020
$447k
NCATS NIH HHS UL1 TR002345NIA NIH HHS R21 AG063370NIGMS NIH HHS U54 GM115458
6 · The paper itself

Abstract

motivationMediation analysis has become a prevalent method to identify causal pathway(s) between an independent variable and a dependent variable through intermediate variable(s). However, little work has been done when the intermediate variables (mediators) are high-dimensional and the outcome is a survival endpoint. In this paper, we introduce a novel method to identify potential mediators in a causal framework of high-dimensional Cox regression.

resultsWe first reduce the data dimension through a mediation-based sure independence screening method. A de-biased Lasso inference procedure is used for Cox's regression parameters. We adopt a multiple-testing procedure to accurately control the false discovery rate when testing high-dimensional mediation hypotheses. Simulation studies are conducted to demonstrate the performance of our method. We apply this approach to explore the mediation mechanisms of 379 330 DNA methylation markers between smoking and overall survival among lung cancer patients in The Cancer Genome Atlas lung cancer cohort. Two methylation sites (cg08108679 and cg26478297) are identified as potential mediating epigenetic markers. AVAILABILITY AND IMPLEMENTATION: Our proposed method is available with the R package HIMA at https://cran.r-project.org/web/packages/HIMA/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Lung NeoplasmsMediation AnalysisComputer SimulationEpigenomicsGenomeHumans

Identifiers

PMID34343267
PMCPMC8570823

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Registered trials

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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.