Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.485728
Title: Integrated transcriptional profiling and linkage analysis for disease gene identification in a rat model of metabolic syndrome
Author: Maciver, Fiona
ISNI:       0000 0001 3615 3461
Awarding Body: Imperial College London (University of London)
Current Institution: Imperial College London
Date of Award: 2007
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Abstract:
Development of the metabolic syndrome is detennined by a complex interaction of environmental and genetic factors and as with other complex human traits, disease gene identification is problematic due to a lack of statistical power and genetic heterogeneity in patients. Identifying genes' that underlie metabolic syndrome risk factors will allow better understanding and development of treatments which would decrease disease health burden. The spontaneously hypertensive rat (SHR) is a widely studied model of insulin resistance and hypertension and, as in humans, the hypertensive phenotype clusters with metabolic traits. SHR was crossed with nonnotensive Brown Norway rats to develop the BXHIHXB recombinant inbred (RI) strain panel. . In these studies this RI panel is being used to identify genomic regions influencing gene expression, tenned expression quantitative trait loci- (eQTL). Affymetrix microarray expression profiles from two tissues (fat and kidney) in the RI and parental strains were generated. Transcript abundance for each gene on the microarray was treated as a quantitative trait and these eQTL were defined as: cis-acting, and trans-acting. This work examines a subset of cis-acting eQTL (P
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.485728  DOI: Not available
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