Evidence map›Paper›PMID 38290773›Full record

ArticleBioinformatics (Oxford, England)2024

High-dimensional quantile mediation analysis with application to a birth cohort study of mother-newborn pairs.

Haixiang Zhang, Xiumei Hong, Yinan Zheng, Lifang Hou, Cheng Zheng, Xiaobin Wang, Lei Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioinformatics (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Haixiang ZhangCenter for Applied Mathematics, Tianjin University, Tianjin 300072, China.
Xiumei HongDepartment of Population, Family and Reproductive Health, Center On the Early Life Origins of Disease, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, United States.ORCID 0000-0003-3992-1918
Yinan ZhengDepartment of Preventive Medicine, Northwestern University, Chicago, IL 60611, United States.ORCID 0000-0002-2006-7320
Lifang HouDepartment of Preventive Medicine, Northwestern University, Chicago, IL 60611, United States.
Cheng ZhengDepartment of Biostatistics, University of Nebraska Medical Center, Omaha, NE 68198, United States.ORCID 0000-0002-6562-870X
Xiaobin WangDepartment of Population, Family and Reproductive Health, Center On the Early Life Origins of Disease, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, United States.ORCID 0000-0003-4451-302X
Lei LiuDivision of Biostatistics, Washington University in St. Louis, St. Louis, MO 63110, United States.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 RIZZO, MATTHEW · 2016 to 2025
$42.8M
The Hopkins Population CenterP2CHD042854 · NICHD · JOHNS HOPKINS UNIVERSITY · PI FEINIAN CHEN · 2021 to 2026
$3.0M
Epigenomic landscape of individual- and neighborhood-level social disadvantages and cardiovascular health disparityR01AG081244 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI HOU, LIFANG, LIU, LEI · 2022 to 2025
$2.2M
Innovative Analytical Methods for DNA Methylation AgeR21AG068955 · NIA · WASHINGTON UNIVERSITY · PI LIU, LEI, ZHENG, YINAN · 2021 to 2022
$448k
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 R01 AG081244NIA NIH HHS R21 AG063370NIA NIH HHS R21 AG068955NICHD NIH HHS P2C HD042854NIGMS NIH HHS U54 GM115458NIH HHS R21 AG063370
6 · The paper itself

Abstract

motivationThere has been substantial recent interest in developing methodology for high-dimensional mediation analysis. Yet, the majority of mediation statistical methods lean heavily on mean regression, which limits their ability to fully capture the complex mediating effects across the outcome distribution. To bridge this gap, we propose a novel approach for selecting and testing mediators throughout the full range of the outcome distribution spectrum.

resultsThe proposed high-dimensional quantile mediation model provides a comprehensive insight into how potential mediators impact outcomes via their mediation pathways. This method's efficacy is demonstrated through extensive simulations. The study presents a real-world data application examining the mediating effects of DNA methylation on the relationship between maternal smoking and offspring birthweight. AVAILABILITY AND IMPLEMENTATION: Our method offers a publicly available and user-friendly function qHIMA(), which can be accessed through the R package HIMA at https://CRAN.R-project.org/package=HIMA.

Indexed as

Mediation AnalysisMothersCohort StudiesDNA MethylationFemaleHumansInfant, NewbornSmoking

Identifiers

PMID38290773
PMCPMC10873903

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LicenceCC BY
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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.