Systems genetics of susceptibility to obesity-induced diabetes in mice
Autor: | Atila van Nas, Zhiqiang Zhou, Ping-Zi Wen, Yi Zhao, Hongxiu Qi, Suzanne Yu, Aldons J. Lusis, Lawrence W. Castellani, Eric E. Schadt, Melenie Rosales, Richard C. Davis, Karl W. Broman, Miklós Péterfy |
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Rok vydání: | 2012 |
Předmět: |
Male
Candidate gene Physiology medicine.medical_treatment Mice Obese Biology Polymorphism Single Nucleotide Diabetes Mellitus Experimental Mice Insulin resistance Inbred strain Diabetes mellitus Genotype Genetics medicine Animals Genetic Predisposition to Disease Obesity Crosses Genetic Leptin receptor Gene Expression Profiling Systems Biology Insulin Articles Microarray Analysis medicine.disease Mice Inbred C57BL Disease Models Animal Genetic Techniques Mice Inbred DBA Immunology Female |
Zdroj: | Physiological Genomics. 44:1-13 |
ISSN: | 1531-2267 1094-8341 |
DOI: | 10.1152/physiolgenomics.00003.2011 |
Popis: | Inbred strains of mice are strikingly different in susceptibility to obesity-driven diabetes. For instance, deficiency in leptin receptor ( db/db) leads to hyperphagia and obesity in both C57BL/6 and DBA/2 mice, but only on the DBA/2 background do the mice develop beta-cell loss leading to severe diabetes, while C57BL/6 mice are relatively resistant. To further investigate the genetic factors predisposing to diabetes, we have studied leptin receptor-deficient offspring of an F2 cross between C57BL/6J ( db/+) males and DBA/2J females. The results show that the genetics of diabetes susceptibility are enormously complex and a number of quantitative trait loci (QTL) contributing to diabetes-related traits were identified, notably on chromosomes 4, 6, 7, 9, 10, 11, 12, and 19. The Chr. 4 locus is likely due to a disruption of the Zfp69 gene in C57BL/6J mice. To identify candidate genes and to model coexpression networks, we performed global expression array analysis in livers of the F2 mice. Expression QTL (eQTL) were identified and used to prioritize candidate genes at clinical trait QTL. In several cases, clusters of eQTLs colocalized with clinical trait QTLs, suggesting a common genetic basis. We constructed coexpression networks for both 5 and 12 wk old mice and identified several modules significantly associated with clinical traits. One module in 12 wk old mice was associated with several measures of hepatic fat content as well as with other lipid- and diabetes-related traits. These results add to the understanding of the complex genetic interactions contributing to obesity-induced diabetes. |
Databáze: | OpenAIRE |
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