Literature DB >> 33720343

Heritability of Fat Distributions in Male Mice from the Founder Strains of the Diversity Outbred Mouse Population.

Brendan T Keenan1, Jeanette C Webster1, Andrew S Wiemken1, Nir Lavi-Romer1, Teresa Nguyen1, Karen L Svenson2, Raymond J Galante1, Gary A Churchill2, Stephen Pickup3, Allan I Pack1, Richard J Schwab1.   

Abstract

Specific fat distributions are risk factors for complex diseases, including coronary heart disease and obstructive sleep apnea. To demonstrate the utility of high-diversity mouse models for elucidating genetic associations, we describe the phenotyping and heritability of fat distributions within the five classical inbred and three wild-derived founder mouse strains of the Collaborative Cross and Diversity Outbred mice. Measurements of subcutaneous and internal fat volumes in the abdomen, thorax and neck, and fat volumes in the tongue and pericardium were obtained using magnetic resonance imaging in male mice from the A/J (n = 12), C57BL/6J (n = 17), 129S1/SvlmJ (n = 12), NOD/LtJ (n = 14), NZO/HILtJ (n = 12), CAST/EiJ (n = 14), PWK/PhJ (n = 12), and WSB/EiJ (n = 15) strains. Phenotypes were compared across strains using analysis of variance and heritability estimated as the proportion of phenotypic variability attributable to strain. Heritability ranged from 44% to 91% across traits, including >70% heritability of tongue fat. A majority of heritability estimates remained significant controlling for body weight, suggesting genetic influences independent of general obesity. Principal components analysis supports genetic influences on overall obesity and specific to increased pericardial and intra-neck fat. Thus, among the founder strains of the Collaborative Cross and Diversity Outbred mice we observed significant heritability of subcutaneous and internal fat volumes in the neck, thorax and abdomen, pericardial fat volume and tongue fat volume, consistent with genetic architecture playing an important role in explaining trait variability. Findings pave the way for studies utilizing high-diversity mouse models to identify genes affecting fat distributions and, in turn, influencing risk for associated complex disorders.
© The Author(s) (2021). Published by Oxford University Press on behalf of Genetics Society of America.

Entities:  

Keywords:  Collaborative Cross; Diversity Outbred; Fat Distributions; Founder Strains; Heritability; Magnetic Resonance Imaging; Mice

Year:  2021        PMID: 33720343     DOI: 10.1093/g3journal/jkab079

Source DB:  PubMed          Journal:  G3 (Bethesda)        ISSN: 2160-1836            Impact factor:   3.154


  1 in total

1.  Prediction performance of linear models and gradient boosting machine on complex phenotypes in outbred mice.

Authors:  Bruno C Perez; Marco C A M Bink; Karen L Svenson; Gary A Churchill; Mario P L Calus
Journal:  G3 (Bethesda)       Date:  2022-04-04       Impact factor: 3.154

  1 in total

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