Obesity and diabetes gene discovery approaches

Walder, Ken, Segal, David, Jowett, Jeremy, Blangero, John and Collier, Gregory 2003, Obesity and diabetes gene discovery approaches, Current pharmaceutical design, vol. 9, no. 17, pp. 1357-1372.

Attached Files
Name Description MIMEType Size Downloads

Title Obesity and diabetes gene discovery approaches
Author(s) Walder, Ken
Segal, David
Jowett, Jeremy
Blangero, John
Collier, Gregory
Journal name Current pharmaceutical design
Volume number 9
Issue number 17
Start page 1357
End page 1372
Publisher Bentham Science Publishers Ltd
Place of publication Schiphol, Netherlands
Publication date 2003-07
ISSN 1381-6128
1873-4286
Keyword(s) diabetes
gene expression
linkage
microarrays
obesity
quantitative trait loci
genetics
Summary New treatments are currently required for the common metabolic diseases obesity and type 2 diabetes. The identification of physiological and  biochemical factors that underlie the metabolic disturbances observed in obesity and type 2 diabetes is a key step in developing better therapeutic outcomes. The discovery of new genes and pathways involved in the  pathogenesis of these diseases is critical to this process, however  identification of genes that contribute to the risk of developing these diseases represents a significant challenge as obesity and type 2 diabetes are complex diseases with many genetic and environmental causes. A number of diverse approaches have been used to discover and validate potential new targets for obesity and diabetes. To date, DNA-based approaches using candidate gene and genome-wide linkage analysis have had limited success in identifying genomic regions or genes involved in the development of these diseases. Recent advances in the ability to evaluate linkage analysis data from large family pedigrees using variance components based linkage analysis show great promise in robustly identifying genomic regions associated with the development of obesity and diabetes. RNA-based technologies such as cDNA microarrays have identified many genes differentially expressed in tissues of healthy and diseased subjects. Using a combined approach, we are endeavouring to focus attention on differentially expressed genes located in chromosomal regions previously linked with obesity and / or diabetes. Using this strategy, we have identified Beacon as a potential new target for obesity and diabetes.
Language eng
Field of Research 060405 Gene Expression (incl Microarray and other genome-wide approaches)
Socio Economic Objective 970106 Expanding Knowledge in the Biological Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2003, Bentham Science Publishers
Persistent URL http://hdl.handle.net/10536/DRO/DU:30001987

Document type: Journal Article
Collection: School of Exercise and Nutrition Sciences
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: Scopus Citation Count Cited 18 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 438 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Mon, 07 Jul 2008, 08:12:10 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.