Trinculo: Bayesian and frequentist multinomial logistic regression for genome-wide association studies of multi-category phenotypes.
Where this comes from
- Record sourced from PubMed, PMID 26873930.
- Also identified by DOI 10.1093/bioinformatics/btw075 and PMC identifier 4908321.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
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.
Medical subject headings
- Bayes Theorem
- Genome-Wide Association Study
- Logistic Models
- Phenotype
- Software