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

Jostins L., McVean G.

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.

DOI

10.1093/bioinformatics/btw075

Type

Journal article

Journal

Bioinformatics

Publication Date

15/06/2016

Volume

32

Pages

1898 - 1900

Keywords

Bayes Theorem, Genome-Wide Association Study, Humans, Logistic Models, Phenotype, Software

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