Examining the role of unmeasured confounding in mediation analysis with genetic and genomic applications.
Examining the role of unmeasured confounding in mediation analysis with genetic and genomic applications.
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DOI：
10.1186/s12859-017-1749-y
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发表时间：
2017-07-19
影响因子：
3
通讯作者：
Ghosh D
中科院分区：
文献类型：
--
作者：
Lutz SM;Thwing A;Schmiege S;Kroehl M;Baker CD;Starling AP;Hokanson JE;Ghosh D
在中介分析中，如果存在不可测量的混杂，则直接和中介效应的估计值可能过高或过低。大多数方法的敏感性分析的不可测量的混杂在调解集中在调解结果的关系。Umediation R软件包使用户能够模拟确定性-中介、确定性-结果和中介-结果关系的未测量混杂，以查看中介分析的结果在存在未测量混杂的情况下如何变化。我们将Umediation软件包应用于慢性阻塞性肺疾病遗传流行病学（COPDGene）研究，以检查由于人群分层导致的未测量混杂对CHRNA 5/3/B4位点单核苷酸多态性（SNP）对吸烟介导的肺功能下降的影响的作用。Umediation是一个灵活的R软件包，它检查了未测量的混杂因素在中介分析中的作用，允许正态分布或伯努利分布的暴露，结果，中介，测量的混杂因素和未测量的混杂因素。Umediation还可以容纳多个可测量的混杂因素，多个不可测量的混杂因素，并允许对结果进行中介-暴露交互。Umediation作为一个R包在https://github.com/SharonLutz/Umediation上提供。有关如何安装和使用Umediation包的教程在附加文件1中提供。本文的在线版本（doi：10.1186/s12859-017-1749-y）包含补充材料，可供授权用户使用。
In 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. The 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. Umediation 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. The online version of this article (doi:10.1186/s12859-017-1749-y) contains supplementary material, which is available to authorized users.
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影响因子：
2.9
作者：
Lutz SM;Cho MH;Young K;Hersh CP;Castaldi PJ;McDonald ML;Regan E;Mattheisen M;DeMeo DL;Parker M;Foreman M;Make BJ;Jensen RL;Casaburi R;Lomas DA;Bhatt SP;Bakke P;Gulsvik A;Crapo JD;Beaty TH;Laird NM;Lange C;Hokanson JE;Silverman EK;ECLIPSE Investigators;COPDGene Investigators
通讯作者：
COPDGene Investigators
影响因子：
5.3
作者：
Siedlinski, Mateusz;Tingley, Dustin;Lipman, Peter J.;Cho, Michael H.;Litonjua, Augusto A.;Sparrow, David;Bakke, Per;Gulsvik, Amund;Lomas, David A.;Anderson, Wayne;Kong, Xiangyang;Rennard, Stephen I.;Beaty, Terri H.;Hokanson, John E.;Crapo, James D.;Lange, Christoph;Silverman, Edwin K.
通讯作者：
Silverman, Edwin K.
影响因子：
9.8
作者：
Joubert, Bonnie R.;Felix, Janine F.;London, Stephanie J.
通讯作者：
London, Stephanie J.
影响因子：
2
作者：
Shardell, Michelle;Ferrucci, Luigi
通讯作者：
Ferrucci, Luigi
影响因子：
5.1
作者：
Hansen, Anne R.;Barnes, Carmen M.;McElrath, Thomas F.
通讯作者：
McElrath, Thomas F.