Integrated transcriptional profiling and linkage analysis for identification of genes underlying disease

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Item Type:	Article
Title:	Integrated transcriptional profiling and linkage analysis for identification of genes underlying disease
Creators Name:	Hubner, N., Wallace, C.A., Zimdahl, H., Petretto, E., Schulz, H., Maciver, F., Mueller, M., Hummel, O., Monti, J., Zidek, V., Musilova, A., Kren, V., Causton, H., Game, L., Born, G., Schmidt, S., Mueller, A., Cook, S.A., Kurtz, T.W., Whittaker, J., Pravenec, M. and Aitman, T.J.
Abstract:	Integration of genome-wide expression profiling with linkage analysis is a new approach to identifying genes underlying complex traits. We applied this approach to the regulation of gene expression in the BXH/HXB panel of rat recombinant inbred strains, one of the largest available rodent recombinant inbred panels and a leading resource for genetic analysis of the highly prevalent metabolic syndrome. In two tissues important to the pathogenesis of the metabolic syndrome, we mapped cis- and trans-regulatory control elements for expression of thousands of genes across the genome. Many of the most highly linked expression quantitative trait loci are regulated in cis, are inherited essentially as monogenic traits and are good candidate genes for previously mapped physiological quantitative trait loci in the rat. By comparative mapping we generated a data set of 73 candidate genes for hypertension that merit testing in human populations. Mining of this publicly available data set is expected to lead to new insights into the genes and regulatory pathways underlying the extensive range of metabolic and cardiovascular disease phenotypes that segregate in these recombinant inbred strains.
Keywords:	Blood Pressure, Gene Expression Profiling, Linkage (Genetics), Quantitative Trait Loci, Genetic Recombination, Genetic Transcription, Animals, Rats
Source:	Nature Genetics
ISSN:	1061-4036
Publisher:	Nature Publishing Group
Volume:	37
Number:	3
Page Range:	243-253
Date:	1 March 2005
Official Publication:	https://doi.org/10.1038/ng1522
PubMed:	View item in PubMed

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