Evidence map›Paper›PMID 35879655›Full record

ArticleBMC bioinformatics2022

HIMA2: high-dimensional mediation analysis and its application in epigenome-wide DNA methylation data.

Chamila Perera, Haixiang Zhang, Yinan Zheng, Lifang Hou, Annie Qu, Cheng Zheng, Ke Xie, Lei Liu

Abstract read
In one paragraph

Article in BMC bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  8. Current approaches and advances in placental toxicology.Trends in endocrinology and metabolism: TEM · 2026
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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

8 authors.

Chamila PereraDivision of Biostatistics, Washington University in St. Louis, St. Louis, MO, 63110, USA.
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.
Annie QuDepartment of Statistics, University of California, Irvine, CA, 92697, USA.
Cheng ZhengDepartment of Biostatistics, University of Nebraska Medical Center, Omaha, NE, 68198, USA.
Ke XieDivision of Biostatistics, Washington University in St. Louis, St. Louis, MO, 63110, USA.
Lei LiuDivision of Biostatistics, Washington University in St. Louis, St. Louis, MO, 63110, USA. lei.liu@wustl.edu.

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 ESTABROOKS, PAUL · 2016 to 2025
$42.8M
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 R21 AG063370NIA NIH HHS R21 AG068955NIGMS NIH HHS U54 GM115458NIH HHS UL1 TR002345
6 · The paper itself

Abstract

Mediation analysis plays a major role in identifying significant mediators in the pathway between environmental exposures and health outcomes. With advanced data collection technology for large-scale studies, there has been growing research interest in developing methodology for high-dimensional mediation analysis. In this paper we present HIMA2, an extension of the HIMA method (Zhang in Bioinformatics 32:3150-3154, 2016). First, the proposed HIMA2 reduces the dimension of mediators to a manageable level based on the sure independence screening (SIS) method (Fan in J R Stat Soc Ser B 70:849-911, 2008). Second, a de-biased Lasso procedure is implemented for estimating regression parameters. Third, we use a multiple-testing procedure to accurately control the false discovery rate (FDR) when testing high-dimensional mediation hypotheses. We demonstrate its practical performance using Monte Carlo simulation studies and apply our method to identify DNA methylation markers which mediate the pathway from smoking to reduced lung function in the Coronary Artery Risk Development in Young Adults (CARDIA) Study.

Indexed as

DNA MethylationEpigenomeComputer SimulationGenetic MarkersMediation AnalysisMonte Carlo MethodGenetic MarkersCausalityEpigeneticsJoint significant testVariable selection

Identifiers

PMID35879655
PMCPMC9310002

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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.