ArticleBMC genetics2009
Genetic variation for body weight change in mice in response to physical exercise.
Article in BMC genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
13 citing papers in PubMed, 19 citations in OpenAlex.
- Mito-Mendelian interactions alter in vivo glucose metabolism and insulin sensitivity in healthy mice.American journal of physiology. Endocrinology and metabolism · 2021Article
- Mitochondrial - nuclear genetic interaction modulates whole body metabolism, adiposity and gene expression in vivo.EBioMedicine · 2018Article
- Dietary composition affects the development of cognitive deficits in WT and Tg AD model mice.Experimental gerontology · 2016Article
- Long-term exercise in mice has sex-dependent benefits on body composition and metabolism during aging.Physiological reports · 2016Article
- Article
- Genetic determinants of voluntary exercise.Trends in genetics : TIG · 2013Review
- Genomic correlates of relationship QTL involved in fore- versus hind limb divergence in mice.Genome biology and evolution · 2013Article
- Exercise and diet affect quantitative trait loci for body weight and composition traits in an advanced intercross population of mice.Physiological genomics · 2012Article
- Genetic architecture of nest building in mice LG/J × SM/J.Frontiers in genetics · 2012Article
- Architecture of energy balance traits in emerging lines of the Collaborative Cross.American journal of physiology. Endocrinology and metabolism · 2011Article
- Exercise, weight loss, and changes in body composition in mice: phenotypic relationships and genetic architecture.Physiological genomics · 2011Article
- Sex-, diet-, and cancer-dependent epistatic effects on complex traits in mice.Frontiers in genetics · 2011Article
- A search for quantitative trait loci controlling within-individual variation of physical activity traits in mice.BMC genetics · 2010Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundPhysical activity is beneficial in reducing the weight gain and associated health problems often experienced by individuals as they age, but the association of weight change with physical activity remains complex. We tested for a possible genetic basis for this association between 9-12-week body weight change (WTC) and the distance, duration, and speed voluntarily run by 307 mice in an F2 population produced from an intercross of two inbred strains (C57L/J and C3H/HeJ) that differed dramatically in their physical activity levels.
resultsIn this population WTC did show the expected negative association with the physical activity traits, but only the phenotypic correlation of WTC with speed (-0.18) reached statistical significance. Using an interval mapping approach with single-nucleotide polymorphism markers, we discovered five (four suggestive and one significant) quantitative trait loci (QTLs) affecting body weight change, only one of which appeared to show pleiotropic effects on the physical activity traits as well. Genome-wide epistasis scans also detected several pairwise interactions of QTLs with pleiotropic effects on WTC and the physical activity traits, but these effects made a significant contribution (51%) only to the covariance of WTC with speed.
conclusionIt was concluded that the genetic contribution to the phenotypic association between WTC and the physical activity traits in this population of mice was primarily epistatic in origin, restricted to one measure of physical activity, and could be quite variable among different populations depending on the genetic background, experimental design and traits assessed.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.