The 'Omics' of Voluntary Exercise: Systems Approaches to a Complex Phenotype

Trends in Endocrinology and Metabolism

Volumn 26, Issue 12, 2015, Pages 673-675

  Kelly, Scott A ^a   Villena, Fernando Pardo Manuel de ^b,c   Pomp, Daniel ^b  

^a OHIO WESLEYAN UNIVERSITY   (United States)

^b UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^c UNIVERSITY OF NORTH CAROLINA   (United States)

Author keywords

Collaborative Cross; Diversity Outbred; Genomics; Proteomics; Transcriptomics; Wheel running

Indexed keywords

ENVIRONMENTAL IMPACT; EXERCISE; GENE EXPRESSION; GENE INTERACTION; GENETIC ANALYSIS; GENETIC ASSOCIATION; GENETIC PREDISPOSITION; GENETIC VARIABILITY; GENETICS; GENOMICS; HEALTH STATUS; HUMAN; METABOLIC DISORDER; METABOLOMICS; MORPHOLOGICAL ADAPTATION; MURINE; NONHUMAN; NUCLEUS ACCUMBENS; PHENOTYPE; PHENOTYPIC VARIATION; PHYSICAL ACTIVITY; PHYSIOLOGICAL PROCESS; POPULATION; POPULATION GENETICS; PRIORITY JOURNAL; PROTEOMICS; QUANTITATIVE TRAIT LOCUS; QUANTITATIVE TRAIT LOCUS MAPPING; SHORT SURVEY; VOLUNTARY EXERCISE; VOLUNTARY MOVEMENT; WALKING; ANIMAL; ANIMAL EXPERIMENT; ENVIRONMENT; PHYSIOLOGY;

ANIMALS; ENVIRONMENT; EXERCISE; GENOMICS; HUMANS; PHENOTYPE; PHYSICAL CONDITIONING, ANIMAL; PROTEOMICS;

EID: 84949623195     PISSN: 10432760     EISSN: 18793061     Source Type: Journal    
DOI: 10.1016/j.tem.2015.10.002     Document Type: Short Survey

References (15)

1. Kelly S.A., et al. Genetic determinants of voluntary exercise. Trends Genet. 2013, 29:348-357.
2. Overmyer K.A., et al. Maximal oxidative capacity during exercise is associated with skeletal muscle fuel selection and dynamic changes in mitochondrial protein acetylation. Cell Metab. 2015, 21:468-478.
3. de Vilhena E., et al. Genetics of physical activity and physical inactivity in humans. Behav. Genet. 2012, 42:559-578.
4. Bray M.S., et al. The human gene map for performance and health related fitness phenotypes: the 2006-2007 update. Med. Sci. Sports Exerc. 2009, 41:35-73.
5. Kostrzewa E., et al. The use of mouse models to unravel genetic architecture of physical activity: a review. Genes Brain Behav. 2014, 13:87-103.
6. Jansen R.C., et al. Genetical genomics: the added value from segregation. Trends Genet. 2001, 17:388-391.
7. Gjevestad G.O., et al. Effects of exercise on gene expression of inflammatory marker in human peripheral blood cells: a systematic review. Curr. Cardiovasc. Risk Rep. 2015, 9:34.
8. Kelly S.A., et al. Quantitative genomics of voluntary exercise in mice: transcriptional analysis and mapping of expression QTL in muscle. Physiol. Genomics 2014, 46:593-601.
9. Ferguson D.P., et al. Differential protein expression in the nucleus accubens of high and low active mice. Behav. Brain Res. 2015, 291:283-288.
10. Goto-Inoue N., et al. Lipidomics analysis revealed the phospholipid compositional changes in muscle by chronic exercise and high-fat diet. Sci. Rep. 2013, 3:3267.
11. Svenson K.L., et al. High-resolution genetic mapping using the Mouse Diversity outbred population. Genetics 2012, 190:437-447.
12. Rogala A.R., et al. The Collaborative Cross as a resource for modeling human disease: CC011/Unc, a new mouse model for spontaneous colitis. Mamm. Genome 2014, 25:95-108.
13. Swallow J.G., et al. Artificial selection for increased wheel-running behavior in house mice. Behav. Genet. 1998, 28:227-237.
14. Rhodes J.S., et al. Patterns of brain activity associated with variation in voluntary wheel-running behavior. Behav. Neurosci. 2003, 117:1243-1256.
15. Kelly S.A., et al. Functional genomic architecture of predisposition to voluntary exercise in mice: expression QTL in the brain. Genetics 2012, 191:643-654.