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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 analyse 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...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1093/bioinformatics/btw075

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Institution:
University of Oxford
Department:
Oxford, MSD, NDM, Human Genetics Wt Centre
More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, NDM, Human Genetics Wt Centre
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Grant:
098759/Z/12/Z and 100956/Z/13/Z
Christ Church, Oxford More from this funder
Publisher:
Oxford University Press Publisher's website
Journal:
Bioinformatics (Oxford, England) Journal website
Publication date:
2016
DOI:
EISSN:
1367-4811
ISSN:
1367-4803
URN:
uuid:9f5f8e3b-876d-47ee-bf70-557968b18516
Source identifiers:
605924
Local pid:
pubs:605924
Language:
English

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