1. Genetic Architecture of Insulin Resistance in the Mouse
- Author
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Simon T. Hui, Wen-Pin Yang, Peter Tontonoz, Andrea L. Hevener, Brian W. Parks, Christoph Rau, Isaac M. Neuhaus, Lawrence W. Castellani, Aldons J. Lusis, Peter S. Gargalovic, Nikolaos Psychogios, Robert E. Gerszten, Richard G. Lee, Tamer Sallam, Mark J. Graham, Jennifer Phun, Margarete Mehrabian, Frode Norheim, Calvin Pan, Zhenqi Zhou, and Todd G. Kirchgessner
- Subjects
Male ,Genotype ,Physiology ,Adipose tissue ,Quantitative trait locus ,Biology ,Medical Biochemistry and Metabolomics ,Diet, High-Fat ,Inbred C57BL ,Article ,Mice ,Endocrinology & Metabolism ,Insulin resistance ,Genetic variation ,medicine ,Dietary Carbohydrates ,Genetics ,Animals ,Inbred DBA ,2.1 Biological and endogenous factors ,Aetiology ,Gene ,Molecular Biology ,Metabolic and endocrine ,Nutrition ,Mice, Inbred C3H ,Diabetes ,Human Genome ,Genetic Variation ,Cell Biology ,1-Acylglycerol-3-Phosphate O-Acyltransferase ,medicine.disease ,Inbred C3H ,Genetic architecture ,Diet ,Mice, Inbred C57BL ,High-Fat ,Mice, Inbred DBA ,Expression quantitative trait loci ,Female ,Biochemistry and Cell Biology ,Insulin Resistance - Abstract
SummaryInsulin resistance (IR) is a complex trait with multiple genetic and environmental components. Confounded by large differences between the sexes, environment, and disease pathology, the genetic basis of IR has been difficult to dissect. Here we examine IR and related traits in a diverse population of more than 100 unique male and female inbred mouse strains after feeding a diet rich in fat and refined carbohydrates. Our results show dramatic variation in IR among strains of mice and widespread differences between sexes that are dependent on genotype. We uncover more than 15 genome-wide significant loci and validate a gene, Agpat5, associated with IR. We also integrate plasma metabolite levels and global gene expression from liver and adipose tissue to identify metabolite quantitative trait loci (mQTL) and expression QTL (eQTL), respectively. Our results provide a resource for analysis of interactions between diet, sex, and genetic background in IR.
- Published
- 2015
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