Evidence map›Paper›PMID 34093887›Full record

ArticleStatistics in biosciences2021

Testing for mediation effect with application to human microbiome data.

Haixiang Zhang, Jun Chen, Zhigang Li, Lei Liu

Abstract read
In one paragraph

Article in Statistics in biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Microbiome mediation analysis: methods, assumptions, and practical considerations.Frontiers in cellular and infection microbiology · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. multimedia: Multimodal Mediation Analysis of Microbiome Data.bioRxiv : the preprint server for biology · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

4 authors.

Haixiang ZhangCenter for Applied Mathematics, Tianjin University, Tianjin, 300072, China.
Jun ChenDivision of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN 55905, USA.
Zhigang LiDepartment of Biostatistics, University of Florida, Gainesville, FL 32610, USA.
Lei LiuDivision of Biostatistics, Washington University in St. Louis, St. Louis, MO 63110, USA.

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Mediation Analysis Methods to Model Human Microbiome Mediating Disease-Leading Causal Pathways in ChildrenR01GM123014 · NIGMS · UNIVERSITY OF FLORIDA · PI LI, ZHIGANG · 2017 to 2021
$2.1M
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 R01 GM123014
6 · The paper itself

Abstract

Mediation analysis has been commonly used to study the effect of an exposure on an outcome through a mediator. In this paper, we are interested in exploring the mediation mechanism of microbiome, whose special features make the analysis challenging. We consider the isometric logratio transformation of the relative abundance as the mediator variable. Then, we present a de-biased Lasso estimate for the mediator of interest and derive its standard error estimator, which can be used to develop a test procedure for the interested mediation effect. Extensive simulation studies are conducted to assess the performance of our method. We apply the proposed approach to test the mediation effect of human gut microbiome between the dietary fiber intake and body mass index.

Indexed as

Compositional mediatorsHigh dimensional dataIsometric logratio transformationJoint significance testMediation analysis

Identifiers

PMID34093887
PMCPMC8177450

What OpenQuestion holds

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Registered trials

None linked

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.