LOT: a tool for linkage analysis of ordinal traits for pedigree data

Gespeichert in:

Bibliographische Detailangaben
Zeitschriftentitel:	Bioinformatics
Personen und Körperschaften:	Zhang, Meizhuo, Feng, Rui, Chen, Xiang, Hu, Buqu, Zhang, Heping
In:	Bioinformatics, 24, 2008, 15, S. 1737-1739
Format:	E-Article
Sprache:	Englisch
veröffentlicht:	Oxford University Press (OUP)
Schlagwörter:	Computational Mathematics Computational Theory and Mathematics Computer Science Applications Molecular Biology Biochemistry Statistics and Probability

Details
Zusammenfassung:	<jats:title>Abstract</jats:title> <jats:p>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.</jats:p> <jats:p>Availability: The LOT program is available for download at http://c2s2.yale.edu/software/LOT/</jats:p> <jats:p>Contact: heping.zhang@yale.edu</jats:p>
Umfang:	1737-1739
ISSN:	1367-4811 1367-4803
DOI:	10.1093/bioinformatics/btn258