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This article is part of the supplement: Genetic Analysis Workshop 15: Gene Expression Analysis and Approaches to Detecting Multiple Functional Loci

Open Access Proceedings

Mining gene networks with application to GAW15 Problem 1

Jing Hua Zhao1*, Jian'an Luan1, M Fazil Baksh2 and Qihua Tan3

Author Affiliations

1 MRC Epidemiology Unit, Institute of Metabolic Science, Box 285, Addenbrooke's Hospital, Hills Road, Cambridge CB2 0QQ, UK

2 Section of Applied Statistics, School of Biological Sciences, The University of Reading, Earley Gate, Reading RG6 6FN, UK

3 Department of Biochemistry, Pharmacology and Genetics, Odense University Hospital, Sdr Boulevard 29, Odense C., DK-5000, Denmark

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BMC Proceedings 2007, 1(Suppl 1):S52  doi:

Published: 18 December 2007

Abstract

The Genetic Analysis Workshop 15 (GAW15) Problem 1 contained baseline expression levels of 8793 genes in immortalized B cells from 194 individuals in 14 Centre d'Etude du Polymorphisme Humain (CEPH) Utah pedigrees. Previous analysis of the data showed linkage and association and evidence of substantial individual variations. In particular, correlation was examined on expression levels of 31 genes and 25 target genes corresponding to two master regulatory regions. In this analysis, we apply Bayesian network analysis to gain further insight into these findings. We identify strong dependences and therefore provide additional insight into the underlying relationships between the genes involved. More generally, the approach is expected to be applicable for integrated analysis of genes on biological pathways.