PT - JOURNAL ARTICLE AU - Daniel M. Gatti AU - Petr Simecek AU - Lisa Somes AU - Clifton T. Jeffrey AU - Matthew J. Vincent AU - Kwangbom Choi AU - Xingyao Chen AU - Gary A. Churchill AU - Karen L. Svenson TI - The Effects of Sex and Diet on Physiology and Liver Gene Expression in Diversity Outbred Mice AID - 10.1101/098657 DP - 2017 Jan 01 TA - bioRxiv PG - 098657 4099 - http://biorxiv.org/content/early/2017/01/05/098657.short 4100 - http://biorxiv.org/content/early/2017/01/05/098657.full AB - Inter-individual variation in metabolic health and adiposity is driven by many factors. Diet composition and genetic background and the interactions between these two factors affect adiposity and related traits such as circulating cholesterol levels. In this study, we fed 850 Diversity Outbred mice, half females and half males, with either a standard chow diet or a high fat, high sucrose diet beginning at weaning and aged them to 26 weeks. We measured clinical chemistry and body composition at early and late time points during the study, and liver transcription at euthanasia. Males weighed more than females and mice on a high fat diet generally weighed more than those on chow. Many traits showed sex- or diet-specific changes as well as more complex sex by diet interactions. We mapped both the physiological and molecular traits and found that the genetic architecture of the physiological traits is complex, with many single locus associations potentially being driven by more than one polymorphism. For liver transcription, we find that local polymorphisms affect constitutive and sex-specific transcription, but that the response to diet is not affected by local polymorphisms. We identified two loci for circulating cholesterol levels. We performed mediation analysis by mapping the physiological traits, given liver transcript abundance and propose several genes that may be modifiers of the physiological traits. By including both physiological and molecular traits in our analyses, we have created deeper phenotypic profiles to identify additional significant contributors to complex metabolic outcomes such as polygenic obesity. We make the phenotype, liver transcript and genotype data publicly available as a resource for the research community.