Journal Article

Network-based multiple locus linkage analysis of expression traits

Wei Pan

in Bioinformatics

Volume 25, issue 11, pages 1390-1396
Published in print June 2009 | ISSN: 1367-4803
Published online March 2009 | e-ISSN: 1460-2059 | DOI: http://dx.doi.org/10.1093/bioinformatics/btp177
Network-based multiple locus linkage analysis of expression traits

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Motivation: We consider the problem of multiple locus linkage analysis for expression traits of genes in a pathway or a network. To capitalize on co-expression of functionally related genes, we propose a penalized regression method that maps multiple expression quantitative trait loci (eQTLs) for all related genes simultaneously while accounting for their shared functions as specified a priori by a gene pathway or network.

Results: An analysis of a mouse dataset and simulation studies clearly demonstrate the advantage of the proposed method over a standard approach that ignores biological knowledge of gene networks.

Contact: weip@biostat.umn.edu

Supplementary information: Supplementary data are available at Bioinformatics online.

Journal Article.  6662 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

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