title: Trinculo: Bayesian and frequentist multinomial logistic regression for genome-wide association studies of multi-category phenotypes.
abstract: 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/trinculo
  
  
  
  Supplementary data are available at Bioinformatics online.
  
  
  
  lj4@well.ox.ac.uk.
authors.affiliation: 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.
authors.forename: Luke
authors.initials: L
authors.lastname: Jostins
authors.affiliation: Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, OX3 7BN, UK.
authors.forename: Gilean
authors.initials: G
authors.lastname: McVean
mesh_terms: D001499:Bayes Theorem; D055106:Genome-Wide Association Study; D006801:Humans; D016015:Logistic Models; D010641:Phenotype; D012984:Software