Genetic variation in the pleiotropic association between physical activity and body weight in mice

• Published in: Genetics selection evolution (Paris) Vol. 41; no. 1; p. 41
• Main Authors: Leamy, Larry J, Pomp, Daniel, Lightfoot, J Timothy
• Format: Journal Article
• Language: English
• Published: France BioMed Central Ltd 23.09.2009; BioMed Central; BMC
• Subjects: Animals; Behavior, Animal; Body Weight; Cardiovascular disease; Chromosomes; Epistasis; Exercise; Female; Gene mapping; Genetic aspects; Genetic diversity; Genetic Variation; Genomes; Genotype; Genotypes; Inbreeding; Kinesiology; Male; Mice - genetics; Mice - physiology; Motor Activity; Obesity; Physical activity; Physical fitness; Population; Quantitative Trait Loci; Quantitative Trait, Heritable; Single-nucleotide polymorphism; Values
• ISSN: 1297-9686; 0999-193X; 1297-9686
• DOI: 10.1186/1297-9686-41-41

A sedentary lifestyle is often assumed to lead to increases in body weight and potentially obesity and related diseases but in fact little is known about the genetic association between physical activity and body weight. We tested for such an association between body weight and the distance, duration, and speed voluntarily run by 310 mice from the F2 generation produced from an intercross of two inbred lines that differed dramatically in their physical activity levels. We used a conventional interval mapping approach with SNP markers to search for QTLs that affected both body weight and activity traits. We also conducted a genome scan to search for relationship QTLs (relQTLs), or chromosomal regions that affected an activity trait variably depending on the phenotypic value of body weight. We uncovered seven quantitative trait loci (QTLs) affecting body weight, but only one co-localized with another QTL previously found for activity traits. We discovered 19 relQTLs that provided evidence for a genetic (pleiotropic) association of physical activity and body weight. The three genotypes at each of these loci typically exhibited a combination of negative, zero, and positive regressions of the activity traits on body weight, the net effect of which was to produce overall independence of body weight from physical activity. We also demonstrated that the relQTLs produced these varying associations through differential epistatic interactions with a number of other epistatic QTLs throughout the genome. It was concluded that individuals with specific combinations of genotypes at the relQTLs and epiQTLs might account for some of the variation typically seen in plots of the association of physical activity with body weight.