Mammalian Genome

, Volume 19, Issue 5, pp 318–331

Genetic background determines metabolic phenotypes in the mouse

Authors

    • Institut Clinique de la Souris
  • Mohammed Selloum
    • Institut Clinique de la Souris
  • Valérie Zeitler
    • Institut Clinique de la Souris
  • Claudia Caradec
    • Institut Clinique de la Souris
  • Barbara Jung
    • Institut Clinique de la Souris
  • Stéphane Rousseau
    • Institut Clinique de la Souris
  • Laurent Pouilly
    • Institut Clinique de la Souris
  • Tania Sorg
    • Institut Clinique de la Souris
    • Institut Clinique de la Souris
    • Institut de Génétique et de Biologie Moléculaire et CellulaireCNRS/INSERM/Université Louis Pasteur
Article

DOI: 10.1007/s00335-008-9107-z

Cite this article as:
Champy, M., Selloum, M., Zeitler, V. et al. Mamm Genome (2008) 19: 318. doi:10.1007/s00335-008-9107-z

Abstract

To evaluate the contribution of genetic background to phenotypic variation, we compared a large range of biochemical and metabolic parameters at different ages of four inbred mice strains, C57BL/6J, 129SvPas, C3HeB/FeJ, and Balb/cByJ. Our results demonstrate that important metabolic, hematologic, and biochemical differences exist between these different inbred strains. Most of these differences are gender independent and are maintained or accentuated throughout life. It is therefore imperative that the genetic background is carefully defined in phenotypic studies. Our results also argue that certain backgrounds are more suited to study a given physiologic phenomenon, as distinct mouse strains have a different propensity to develop particular biochemical, hematologic, and metabolic abnormalities. These genetic differences can furthermore be exploited to identify new genes/proteins that contribute to phenotypic abnormalities. The choice of the genetic background in which to generate and analyze genetically engineered mutant mice is important as it is, together with environmental factors, one of the most important contributors to the variability of phenotypic results.

Copyright information

© Springer Science+Business Media, LLC 2008