Evidence map›Paper›PMID 23077662›Full record

ArticlePloS one2012

Method for evaluating multiple mediators: mediating effects of smoking and COPD on the association between the CHRNA5-A3 variant and lung cancer risk.

Jian Wang, Margaret R Spitz, Christopher I Amos, Xifeng Wu, David W Wetter, Paul M Cinciripini, Sanjay Shete

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 19% of its field
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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Article
  5. Gene-based mediation analysis in epigenetic studies.Briefings in bioinformatics · 2021
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  14. Mediation Analysis With Matched Case-Control Study Designs.American journal of epidemiology · 2016
    Article
  15. Relationship between fetuin-A levels and bone mineral density: response to Agilli et al.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2015
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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

7 authors at 2 institutions in 1 country.

Jian WangDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.
Margaret R Spitz
Christopher I Amos
Xifeng Wu
David W Wetter
Paul M Cinciripini
Sanjay Shete
The University of Texas MD Anderson Cancer Center · USBaylor College of Medicine · US

Funding

Transdisciplinary Research in Cancer of the Lung (TRICL)U19CA148127 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AMOS, CHRISTOPHER I., LE MARCHAND, LOIC · 2010 to 2014
$10.9M
High Density Association Analysis of Lung CancerR01CA121197 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AMOS, CHRISTOPHER I. · 2007 to 2010
$3.0M
Genome Wide Association Study of Head and Neck CancerR01CA131324 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SHETE, SANJAY · 2009 to 2013
$2.8M
NCI NIH HHS R01 CA121197NCI NIH HHS R01CA121197NCI NIH HHS R01 CA131324NCI NIH HHS R01CA131324NCI NIH HHS U19 CA148127NCI NIH HHS U19CA148127
6 · The paper itself

Abstract

A mediation model explores the direct and indirect effects between an independent variable and a dependent variable by including other variables (or mediators). Mediation analysis has recently been used to dissect the direct and indirect effects of genetic variants on complex diseases using case-control studies. However, bias could arise in the estimations of the genetic variant-mediator association because the presence or absence of the mediator in the study samples is not sampled following the principles of case-control study design. In this case, the mediation analysis using data from case-control studies might lead to biased estimates of coefficients and indirect effects. In this article, we investigated a multiple-mediation model involving a three-path mediating effect through two mediators using case-control study data. We propose an approach to correct bias in coefficients and provide accurate estimates of the specific indirect effects. Our approach can also be used when the original case-control study is frequency matched on one of the mediators. We employed bootstrapping to assess the significance of indirect effects. We conducted simulation studies to investigate the performance of the proposed approach, and showed that it provides more accurate estimates of the indirect effects as well as the percent mediated than standard regressions. We then applied this approach to study the mediating effects of both smoking and chronic obstructive pulmonary disease (COPD) on the association between the CHRNA5-A3 gene locus and lung cancer risk using data from a lung cancer case-control study. The results showed that the genetic variant influences lung cancer risk indirectly through all three different pathways. The percent of genetic association mediated was 18.3% through smoking alone, 30.2% through COPD alone, and 20.6% through the path including both smoking and COPD, and the total genetic variant-lung cancer association explained by the two mediators was 69.1%.

Indexed as

Lung NeoplasmsModels, TheoreticalPulmonary Disease, Chronic ObstructiveCase-Control StudiesComputer SimulationGenetic Association StudiesHumansNerve Tissue ProteinsPolymorphism, Single NucleotideReceptors, NicotinicRisk FactorsSmokingCHRNA5 protein, humanNerve Tissue ProteinsReceptors, Nicotinic

Identifiers

PMID23077662
PMCPMC3471886
OpenAlexW2066181310

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.