Optimal Trend Tests for Genetic Association Studies of Heterogeneous Diseases

The Cochran-Armitage trend test is a standard procedure in genetic association studies. It is a directed test with high power to detect genetic effects that follow the gene-dosage model. In this paper, the author proposes optimal trend tests for genetic association studies of heterogeneous diseases....

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Autor principal: Lee, Wen-Chung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4899796/
https://www.ncbi.nlm.nih.gov/pubmed/27278756
http://dx.doi.org/10.1038/srep27821
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author Lee, Wen-Chung
author_facet Lee, Wen-Chung
author_sort Lee, Wen-Chung
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description The Cochran-Armitage trend test is a standard procedure in genetic association studies. It is a directed test with high power to detect genetic effects that follow the gene-dosage model. In this paper, the author proposes optimal trend tests for genetic association studies of heterogeneous diseases. Monte-Carlo simulations show that the power gain of the optimal trend tests over the conventional Cochran-Armitage trend test is striking when the genetic effects are heterogeneous. The easy-to-use R 3.1.2 software (R Foundation for Statistical Computing, Vienna, Austria) code is provided. The optimal trend tests are recommended for routine use.
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spelling pubmed-48997962016-06-13 Optimal Trend Tests for Genetic Association Studies of Heterogeneous Diseases Lee, Wen-Chung Sci Rep Article The Cochran-Armitage trend test is a standard procedure in genetic association studies. It is a directed test with high power to detect genetic effects that follow the gene-dosage model. In this paper, the author proposes optimal trend tests for genetic association studies of heterogeneous diseases. Monte-Carlo simulations show that the power gain of the optimal trend tests over the conventional Cochran-Armitage trend test is striking when the genetic effects are heterogeneous. The easy-to-use R 3.1.2 software (R Foundation for Statistical Computing, Vienna, Austria) code is provided. The optimal trend tests are recommended for routine use. Nature Publishing Group 2016-06-09 /pmc/articles/PMC4899796/ /pubmed/27278756 http://dx.doi.org/10.1038/srep27821 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Lee, Wen-Chung
Optimal Trend Tests for Genetic Association Studies of Heterogeneous Diseases
title Optimal Trend Tests for Genetic Association Studies of Heterogeneous Diseases
title_full Optimal Trend Tests for Genetic Association Studies of Heterogeneous Diseases
title_fullStr Optimal Trend Tests for Genetic Association Studies of Heterogeneous Diseases
title_full_unstemmed Optimal Trend Tests for Genetic Association Studies of Heterogeneous Diseases
title_short Optimal Trend Tests for Genetic Association Studies of Heterogeneous Diseases
title_sort optimal trend tests for genetic association studies of heterogeneous diseases
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4899796/
https://www.ncbi.nlm.nih.gov/pubmed/27278756
http://dx.doi.org/10.1038/srep27821
work_keys_str_mv AT leewenchung optimaltrendtestsforgeneticassociationstudiesofheterogeneousdiseases

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