ArticleBMC bioinformatics2017
Examining the role of unmeasured confounding in mediation analysis with genetic and genomic applications.
Article in BMC bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Quantitative bias analysis in practice: review of software for regression with unmeasured confounding.BMC medical research methodology · 2023Pooled it
- Back pain exercise therapy remodels human epigenetic profiles in buccal and human peripheral blood mononuclear cells: an exploratory study in young male participants.Frontiers in sports and active living · 2024Article
- Ambient air pollution during pregnancy and DNA methylation in umbilical cord blood, with potential mediation of associations with infant adiposity: The Healthy Start study.Environmental research · 2022Article
- Cohort profile: the multigeneration Respiratory Health in Northern Europe, Spain and Australia (RHINESSA) cohort.BMJ open · 2022Article
- The Exposome Approach in Allergies and Lung Diseases: Is It Time to Define a Preconception Exposome?International journal of environmental research and public health · 2021Review
- Prenatal and prepubertal exposures to tobacco smoke in men may cause lower lung function in future offspring: a three-generation study using a causal modelling approach.The European respiratory journal · 2021Article
- Exposures during the prepuberty period and future offspring's health: evidence from human cohort studies†.Biology of reproduction · 2021Review
- Genetic Advances in Chronic Obstructive Pulmonary Disease. Insights from COPDGene.American journal of respiratory and critical care medicine · 2019Review
- Assessing pleiotropy and mediation in genetic loci associated with chronic obstructive pulmonary disease.Genetic epidemiology · 2019Article
- A three-generation study on the association of tobacco smoking with asthma.International journal of epidemiology · 2018Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
backgroundIn mediation analysis if unmeasured confounding is present, the estimates for the direct and mediated effects may be over or under estimated. Most methods for the sensitivity analysis of unmeasured confounding in mediation have focused on the mediator-outcome relationship.
resultsThe Umediation R package enables the user to simulate unmeasured confounding of the exposure-mediator, exposure-outcome, and mediator-outcome relationships in order to see how the results of the mediation analysis would change in the presence of unmeasured confounding. We apply the Umediation package to the Genetic Epidemiology of Chronic Obstructive Pulmonary Disease (COPDGene) study to examine the role of unmeasured confounding due to population stratification on the effect of a single nucleotide polymorphism (SNP) in the CHRNA5/3/B4 locus on pulmonary function decline as mediated by cigarette smoking.
conclusionsUmediation is a flexible R package that examines the role of unmeasured confounding in mediation analysis allowing for normally distributed or Bernoulli distributed exposures, outcomes, mediators, measured confounders, and unmeasured confounders. Umediation also accommodates multiple measured confounders, multiple unmeasured confounders, and allows for a mediator-exposure interaction on the outcome. Umediation is available as an R package at https://github.com/SharonLutz/Umediation A tutorial on how to install and use the Umediation package is available in the Additional file 1.
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