ArticleInternational journal of obesity (2005)2009
Genetic influences on growth and body composition in mice: multilocus interactions.
Article in International journal of obesity (2005), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- VARIABLE PRIORITIZATION IN NONLINEAR BLACK BOX METHODS: A GENETIC ASSOCIATION CASE STUDYThe annals of applied statistics · 2019Article
- A longitudinal quantitative trait locus mapping of chicken growth traits.Molecular genetics and genomics : MGG · 2019Article
- Mapping novel genetic loci associated with female liver weight variations using Collaborative Cross mice.Animal models and experimental medicine · 2018Article
- Systems genetics analysis of body weight and energy metabolism traits in Drosophila melanogaster.BMC genomics · 2010Article
- Article
- Genetic resistance to diet-induced obesity in chromosome substitution strains of mice.Mammalian genome : official journal of the International Mammalian Genome Society · 2010Article
- Genetic architecture of quantitative traits in mice, flies, and humans.Genome research · 2009Article
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Authors and funding
5 authors.
Funding
Abstract
backgroundThe genetic architecture of body weight and body composition is complex because these traits are normally influenced by multiple genes and their interactions, even after controlling for the environment. Bayesian methodology provides an efficient way of estimating these interactions. SUBJECTS AND MEASUREMENTS: We used Bayesian model selection techniques to simultaneously estimate the main effects, epistasis and gene-sex interactions on age-related body weight (at 3, 6 and 10 weeks, denoted as WT3wk, WT6wk and WT10wk) and body composition (organ weights and fat-related traits) in an F(2) sample obtained from a cross between high-growth (M16i) mice and low-growth (L6) mice.
resultsWe observed epistatic and main-effect quantitative trait loci (QTL) that controlled both body weight and body composition. Epistatic effects were generally more significant for WT6wk than WT10wk. Chromosomes 5 and 13 interacted strongly to control body weight at 3 weeks. A pleiotropic QTL on chromosome 2 was associated with body weight and some body composition phenotypes. Testis weight was regulated by a QTL on chromosome 13 with a significantly large main effect (2log(e)BF approximately 15).
conclusionBy analyzing epistatic interactions, we detected QTL not found in a previous analysis of this mouse population. Hence, the detection of gene-gene interactions may provide new information about the genetic architecture of complex obesity-related traits and may lead to the detection of additional obesity genes.
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