Abstract
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 language | English (US) |
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Pages (from-to) | 1390-1396 |
Number of pages | 7 |
Journal | Bioinformatics |
Volume | 25 |
Issue number | 11 |
DOIs | |
State | Published - Jun 2009 |