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.An open source C implementation, with code and binaries for Linux and Mac OSX, is available for download at http://sourceforge.net/projects/trinculoSupplementary data are available at Bioinformatics online.lj4@well.ox.ac.uk.

Original publication

DOI

10.1093/bioinformatics/btw075

Type

Journal article

Journal

Bioinformatics (Oxford, England)

Publication Date

06/2016

Volume

32

Pages

1898 - 1900

Addresses

Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, OX3 7BN, UK Christ Church, University of Oxford, St Aldates, Oxford OX1 1DP, UK.

Keywords

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