Trinculo: Bayesian and frequentist multinomial logistic regression for genome-wide association studies of multi-category phenotypes

Motivation: For many classes of disease the same genetic risk variants underly many related phenotypes or disease subtypes. Multinomial logistic regression provides an attractive framework to analyze multi-category phenotypes, and explore the genetic relationships between these phenotype categories....

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Detalles Bibliográficos
Autores principales: Jostins, Luke, McVean, Gilean
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908321/
https://www.ncbi.nlm.nih.gov/pubmed/26873930
http://dx.doi.org/10.1093/bioinformatics/btw075
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author Jostins, Luke
McVean, Gilean
author_facet Jostins, Luke
McVean, Gilean
author_sort Jostins, Luke
collection PubMed
description Motivation: For many classes of disease the same genetic risk variants underly many related phenotypes or disease subtypes. Multinomial logistic regression provides an attractive framework to analyze multi-category phenotypes, and explore the genetic relationships between these phenotype categories. We introduce Trinculo, a program that implements a wide range of multinomial analyses in a single fast package that is designed to be easy to use by users of standard genome-wide association study software. Availability and implementation: An open source C implementation, with code and binaries for Linux and Mac OSX, is available for download at http://sourceforge.net/projects/trinculo Supplementary information: Supplementary data are available at Bioinformatics online. Contact: lj4@well.ox.ac.uk
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spelling pubmed-49083212016-06-17 Trinculo: Bayesian and frequentist multinomial logistic regression for genome-wide association studies of multi-category phenotypes Jostins, Luke McVean, Gilean Bioinformatics Applications Notes Motivation: For many classes of disease the same genetic risk variants underly many related phenotypes or disease subtypes. Multinomial logistic regression provides an attractive framework to analyze multi-category phenotypes, and explore the genetic relationships between these phenotype categories. We introduce Trinculo, a program that implements a wide range of multinomial analyses in a single fast package that is designed to be easy to use by users of standard genome-wide association study software. Availability and implementation: An open source C implementation, with code and binaries for Linux and Mac OSX, is available for download at http://sourceforge.net/projects/trinculo Supplementary information: Supplementary data are available at Bioinformatics online. Contact: lj4@well.ox.ac.uk Oxford University Press 2016-06-15 2016-02-11 /pmc/articles/PMC4908321/ /pubmed/26873930 http://dx.doi.org/10.1093/bioinformatics/btw075 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Jostins, Luke
McVean, Gilean
Trinculo: Bayesian and frequentist multinomial logistic regression for genome-wide association studies of multi-category phenotypes
title Trinculo: Bayesian and frequentist multinomial logistic regression for genome-wide association studies of multi-category phenotypes
title_full Trinculo: Bayesian and frequentist multinomial logistic regression for genome-wide association studies of multi-category phenotypes
title_fullStr Trinculo: Bayesian and frequentist multinomial logistic regression for genome-wide association studies of multi-category phenotypes
title_full_unstemmed Trinculo: Bayesian and frequentist multinomial logistic regression for genome-wide association studies of multi-category phenotypes
title_short Trinculo: Bayesian and frequentist multinomial logistic regression for genome-wide association studies of multi-category phenotypes
title_sort trinculo: bayesian and frequentist multinomial logistic regression for genome-wide association studies of multi-category phenotypes
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908321/
https://www.ncbi.nlm.nih.gov/pubmed/26873930
http://dx.doi.org/10.1093/bioinformatics/btw075
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