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Bioinformatics Advance Access published online on November 19, 2008
Bioinformatics, doi:10.1093/bioinformatics/btn563
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© The Author (2008). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

A multivariate test of association

Manuel AR Ferreira 1-5* and Shaun M Purcell 1-46

1 Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
2 Department of Psychiatry, Harvard Medical School, Boston, MA, USA
3 Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA
4 Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT
5 Genetic Epidemiology, Queensland Institute of Medical Research, QLD, Australia
6 Broad Institute of Harvard and MIT, Cambridge, MA, USA

*To whom correspondence should be addressed. Manuel AR Ferreira, E-mail: mferreira{at}chgr.mgh.harvard.edu


  Abstract

Summary: although genetic association studies often test multiple, related phenotypes, few formal multivariate tests of association are available. We describe a test of association that can be efficiently applied to large population-based designs.

Availability: a C++ implementation can be obtained from http://pngu.mgh.harvard.edu/~mferreira/multivariate/main.htm.

Contact: mferreira{at}chgr.mgh.harvard.edu

Supplementary Information: Supplementary Figures are available at Bioinformatics online

Associate Editor: Dr. Alex Bateman

Received on August 3, 2008; revised on October 22, 2008; accepted on October 24, 2008

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