Network-based multiple locus linkage analysis of expression traits

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)1390-1396
Number of pages7
Issue number11
StatePublished - Jun 2009


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