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PMID: 18982013 Published · ppublish English Journal Article

Genetic influences on growth and body composition in mice: multilocus interactions.

International journal of obesity (2005) ·Vol. 33 ·No. 1 ·2009-01-00 ·Pages 89-95

Ankra-Badu GA, Pomp D, Shriner D, Allison DB, Yi N

Abstract

The 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. 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. We 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). By 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.

MeSH Terms
Adiposity Animals Bayes Theorem Body Composition/genetics Body Weight Breeding Chromosome Mapping Epistasis, Genetic/physiology Female Gene Expression Genotype Growth/genetics Male Markov Chains Mice Mice, Mutant Strains Organ Size Phenotype Quantitative Trait Loci
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Ankra-Badu G A
Department of Biostatistics, Section on Statistical Genetics, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Pomp D
Shriner D
Allison D B
Yi N
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Article Info
Journal
International journal of obesity (2005)
Abbr.
Int J Obes (Lond)
ISSN
1476-5497
Published
2009-01-00
Epub
2008-00-04
Pages
89-95
Language
English
Region
England
NLM ID
101256108
PMCID
PMC3206648
Subset
IM
Grants
NIDDK NIH HHS · P30 DK056336 · United States
NIGMS NIH HHS · R01 GM069430 · United States
NHLBI NIH HHS · T32 HL072757 · United States
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