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

Bioinformatics. 2016 Jun 15;32(12):1898-900. doi: 10.1093/bioinformatics/btw075. Epub 2016 Feb 11.

Abstract

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.

MeSH terms

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