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Bioinformatics Advance Access published online on June 5, 2008
Bioinformatics, doi:10.1093/bioinformatics/btn258
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© The Author (2008). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

LOT: a Tool for Linkage Analysis of Ordinal Traits for Pedigree Data

Meizhuo Zhang 1, Rui Feng 2, Xiang Chen 1, Buqu Hu 1 and Heping Zhang 1,*

1Yale University School of Medicine, New Haven, CT 06520-8034.
2University of Alabama at Birmingham, Birmingham, Alabama 35294.

*To whom correspondence should be addressed. Prof. Heping Zhang, E-mail: heping.zhang{at}yale.edu


  Abstract

Summary: Existing linkage-analysis methods address binary or quantitative traits. However, many complex diseases and human conditions, particularly behavioral disorders, are rated on ordinal scales. Herein, we introduce, LOT, a tool that performs linkage analysis of ordinal traits for pedigree data. It implements a latent-variable proportional-odds logistic model that relates inheritance patterns to the distribution of the ordinal trait. The likelihood-ratio test is used for testing evidence of linkage.

Availability: The LOT program is available for download at http://c2s2.yale.edu/software/LOT/.

Contact: Heping Zhang, Email: heping.zhang{at}yale.edu

Supplementary information: http://c2s2.yale.edu/software/LOT/

Associate Editor: Dr. Alex Bateman

Received on February 27, 2008; revised on June 2, 2008; accepted on June 4, 2008

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