Mediation model with a categorical exposure and a censored mediator with application to a genetic study.

Mediation analysis is a statistical method for evaluating the direct and indirect effects of an exposure on an outcome in the presence of a mediator. Mediation models have been widely used to determine direct and indirect contributions of genetic variants in clinical phenotypes. In genetic studies,...

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Autores principales:	Jian Wang, Jing Ning, Sanjay Shete
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/39346fc74bda42ecb0ba425c2a140c14
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spelling	oai:doaj.org-article:39346fc74bda42ecb0ba425c2a140c142021-12-02T20:17:01ZMediation model with a categorical exposure and a censored mediator with application to a genetic study.1932-620310.1371/journal.pone.0257628https://doaj.org/article/39346fc74bda42ecb0ba425c2a140c142021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0257628https://doaj.org/toc/1932-6203Mediation analysis is a statistical method for evaluating the direct and indirect effects of an exposure on an outcome in the presence of a mediator. Mediation models have been widely used to determine direct and indirect contributions of genetic variants in clinical phenotypes. In genetic studies, the additive genetic model is the most commonly used model because it can detect effects from either recessive or dominant models (or any model in between). However, the existing approaches for mediation model cannot be directly applied when the genetic model is additive (e.g. the most commonly used model for SNPs) or categorical (e.g. polymorphic loci), and thus modification to measures of indirect and direct effects is warranted. In this study, we proposed overall measures of indirect, direct, and total effects for a mediation model with a categorical exposure and a censored mediator, which accounts for the frequency of different values of the categorical exposure. The proposed approach provides the overall contribution of the categorical exposure to the outcome variable. We assessed the empirical performance of the proposed overall measures via simulation studies and applied the measures to evaluate the mediating effect of a women's age at menopause on the association between genetic variants and type 2 diabetes.Jian WangJing NingSanjay ShetePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 10, p e0257628 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jian Wang Jing Ning Sanjay Shete Mediation model with a categorical exposure and a censored mediator with application to a genetic study.
description	Mediation analysis is a statistical method for evaluating the direct and indirect effects of an exposure on an outcome in the presence of a mediator. Mediation models have been widely used to determine direct and indirect contributions of genetic variants in clinical phenotypes. In genetic studies, the additive genetic model is the most commonly used model because it can detect effects from either recessive or dominant models (or any model in between). However, the existing approaches for mediation model cannot be directly applied when the genetic model is additive (e.g. the most commonly used model for SNPs) or categorical (e.g. polymorphic loci), and thus modification to measures of indirect and direct effects is warranted. In this study, we proposed overall measures of indirect, direct, and total effects for a mediation model with a categorical exposure and a censored mediator, which accounts for the frequency of different values of the categorical exposure. The proposed approach provides the overall contribution of the categorical exposure to the outcome variable. We assessed the empirical performance of the proposed overall measures via simulation studies and applied the measures to evaluate the mediating effect of a women's age at menopause on the association between genetic variants and type 2 diabetes.
format	article
author	Jian Wang Jing Ning Sanjay Shete
author_facet	Jian Wang Jing Ning Sanjay Shete
author_sort	Jian Wang
title	Mediation model with a categorical exposure and a censored mediator with application to a genetic study.
title_short	Mediation model with a categorical exposure and a censored mediator with application to a genetic study.
title_full	Mediation model with a categorical exposure and a censored mediator with application to a genetic study.
title_fullStr	Mediation model with a categorical exposure and a censored mediator with application to a genetic study.
title_full_unstemmed	Mediation model with a categorical exposure and a censored mediator with application to a genetic study.
title_sort	mediation model with a categorical exposure and a censored mediator with application to a genetic study.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/39346fc74bda42ecb0ba425c2a140c14
work_keys_str_mv	AT jianwang mediationmodelwithacategoricalexposureandacensoredmediatorwithapplicationtoageneticstudy AT jingning mediationmodelwithacategoricalexposureandacensoredmediatorwithapplicationtoageneticstudy AT sanjayshete mediationmodelwithacategoricalexposureandacensoredmediatorwithapplicationtoageneticstudy
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Mediation model with a categorical exposure and a censored mediator with application to a genetic study.

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