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Genetic background determines metabolic phenotypes in the mouse

Authors :
Marie-France Champy
Valerie Zeitler
Johan Auwerx
Tania Sorg
Barbara Jung
Mohammed Selloum
Claudia Caradec
Laurent Pouilly
Stéphane Rousseau
Peney, Maité
Institut Clinique de la Souris (ICS)
Université Louis Pasteur - Strasbourg I-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Institut de génétique et biologie moléculaire et cellulaire (IGBMC)
Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Louis Pasteur - Strasbourg I
Source :
Mammalian Genome, Mammalian Genome, 2008, 19 (5), pp.318-31. ⟨10.1007/s00335-008-9107-z⟩, Mammalian Genome, Springer Verlag, 2008, 19 (5), pp.318-31. ⟨10.1007/s00335-008-9107-z⟩
Publication Year :
2008
Publisher :
HAL CCSD, 2008.

Abstract

International audience; 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.

Details

Language :
English
ISSN :
09388990 and 14321777
Database :
OpenAIRE
Journal :
Mammalian Genome, Mammalian Genome, 2008, 19 (5), pp.318-31. ⟨10.1007/s00335-008-9107-z⟩, Mammalian Genome, Springer Verlag, 2008, 19 (5), pp.318-31. ⟨10.1007/s00335-008-9107-z⟩
Accession number :
edsair.doi.dedup.....32282d8b90f2d0448f7c9d80bc6f8d6c
Full Text :
https://doi.org/10.1007/s00335-008-9107-z