Literature DB >> 12676562

A search for candidate genes for lipodystrophy, obesity and diabetes via gene expression analysis of A-ZIP/F-1 mice.

Alain A Mir1, Maxim V Myakishev, Oksana O Polesskaya, Jaideep Moitra, David Petersen, Lance Miller, Andras Orosz, Charles Vinson.   

Abstract

Genome scans for diabetes have identified many regions of the human genome that correlate with the disease state. To identify candidate genes for type 2 diabetes, we examined the transgenic A-ZIP/F-1 mouse. This mouse model has no white fat, resulting in abnormal levels of glucose, insulin, and leptin, making the A-ZIP/F-1 mice a good model for lipodystrophy and insulin resistance. We used cDNA-based microarrays to find differentially expressed genes in four tissues of these mice. We examined these results in the context of human linkage scans for lipodystrophy, obesity, and type 2 diabetes. We combined 199 known human orthologs of the misregulated mouse genes with 33 published human genome scans on a genome map. Integrating expression data with human linkage results permitted us to suggest and prioritize candidate genes for lipodystrophy and related disorders. These genes include a cluster of 3 S100A genes on chromosome 1 and SLPI1 on chromosome 20.

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Year:  2003        PMID: 12676562     DOI: 10.1016/s0888-7543(03)00024-7

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  4 in total

1.  A locus on mouse Chromosome 9 (Adip5) affects the relative weight of the gonadal but not retroperitoneal adipose depot.

Authors:  Amanda H McDaniel; Xia Li; Michael G Tordoff; Alexander A Bachmanov; Danielle R Reed
Journal:  Mamm Genome       Date:  2006-11-10       Impact factor: 2.957

2.  Linkage and association analyses of type 2 diabetes/impaired glucose metabolism and adiponectin serum levels in Japanese Americans from Hawaii.

Authors:  Ilija P Kovac; Richard J Havlik; Daniel Foley; Rita Peila; Dena Hernandez; Fabienne Wavrant-De Vrièze; Andrew Singleton; Josephine Egan; Dennis Taub; Beatriz Rodriguez; Kamal Masaki; J David Curb; Wilfred Y Fujimoto; Alexander F Wilson
Journal:  Diabetes       Date:  2007-02       Impact factor: 9.461

3.  Evaluation and integration of 49 genome-wide experiments and the prediction of previously unknown obesity-related genes.

Authors:  Sangeeta B English; Atul J Butte
Journal:  Bioinformatics       Date:  2007-10-05       Impact factor: 6.937

4.  Inhibiting activator protein-1 activity alters cocaine-induced gene expression and potentiates sensitization.

Authors:  R F Paletzki; M V Myakishev; O Polesskaya; A Orosz; S E Hyman; C Vinson
Journal:  Neuroscience       Date:  2008-02-07       Impact factor: 3.590

  4 in total

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