4.8 Article

Gene-diet interactions associated with complex trait variation in an advanced intercross outbred mouse line

Journal

NATURE COMMUNICATIONS
Volume 10, Issue -, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41467-019-11952-w

Keywords

-

Funding

  1. Excellence Clusters Inflammation at Interfaces from the Deutsche Forschungsgemeinschaft [EXC 306]
  2. Excellence Clusters Precision Medicine in Chronic Inflammation from the Deutsche Forschungsgemeinschaft [EXC 2167-390884018]
  3. Research Training Group Genes, Environment and Inflammation from the Deutsche Forschungsgemeinschaft [GRK 1743]
  4. Research Training Group Modulation of Autoimmunity from the Deutsche Forschungsgemeinschaft [GRK 1727]

Ask authors/readers for more resources

Phenotypic variation of quantitative traits is orchestrated by a complex interplay between the environment (e.g. diet) and genetics. However, the impact of gene-environment interactions on phenotypic traits mostly remains elusive. To address this, we feed 1154 mice of an autoimmunity-prone intercross line (AIL) three different diets. We find that diet substantially contributes to the variability of complex traits and unmasks additional genetic susceptibility quantitative trait loci (QTL). By performing whole-genome sequencing of the AIL founder strains, we resolve these QTLs to few or single candidate genes. To address whether diet can also modulate genetic predisposition towards a given trait, we set NZM2410/J mice on similar dietary regimens as AIL mice. Our data suggest that diet modifies genetic susceptibility to lupus and shifts intestinal bacterial and fungal community composition, which precedes clinical disease manifestation. Collectively, our study underlines the importance of including environmental factors in genetic association studies.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available