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PMID: 16545150 Published · ppublish English Journal Article Research Support, N.I.H., Extramural

Bayesian analyses of multiple epistatic QTL models for body weight and body composition in mice.

Genetical research ·Vol. 87 ·No. 1 ·2006-02-00 ·Pages 45-60

Yi N, Zinniel DK, Kim K, Eisen EJ, Bartolucci A, Allison DB, Pomp D

Abstract

To comprehensively investigate the genetic architecture of growth and obesity, we performed Bayesian analyses of multiple epistatic quantitative trait locus (QTL) models for body weights at five ages (12 days, 3, 6, 9 and 12 weeks) and body composition traits (weights of two fat pads and five organs) in mice produced from a cross of the F1 between M16i (selected for rapid growth rate) and CAST/Ei (wild-derived strain of small and lean mice) back to M16i. Bayesian model selection revealed a temporally regulated network of multiple QTL for body weight, involving both strong main effects and epistatic effects. No QTL had strong support for both early and late growth, although overlapping combinations of main and epistatic effects were observed at adjacent ages. Most main effects and epistatic interactions had an opposite effect on early and late growth. The contribution of epistasis was more pronounced for body weights at older ages. Body composition traits were also influenced by an interacting network of multiple QTLs. Several main and epistatic effects were shared by the body composition and body weight traits, suggesting that pleiotropy plays an important role in growth and obesity.

MeSH Terms
Animals Bayes Theorem Body Composition/genetics Body Weight/genetics Epistasis, Genetic Mice Mice, Inbred ICR Mice, Inbred Strains Models, Genetic Quantitative Trait Loci
Authors & Affiliations
7 authors, click to expand affiliations / ORCID
Yi Nengjun
Department of Biostatistics, Section on Statistical Genetics, University of Alabama, Birmingham, AL 35294, USA.
Zinniel Denise K
Kim Kyoungmi
Eisen Eugene J
Bartolucci Alfred
Allison David B
Pomp Daniel
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Article Info
Journal
Genetical research
Abbr.
Genet Res
DOI
10.1017/S0016672306007944
Published
2006-02-00
Pages
45-60
Language
English
Region
England
NLM ID
0370741
PMCID
PMC5002393
Subset
IM
Grants
NIGMS NIH HHS · GM069430 · United States
NIDDK NIH HHS · R01 DK056366 · United States
NIEHS NIH HHS · ES09912 · United States
NIDDK NIH HHS · DK056336 · United States
NIEHS NIH HHS · R01 ES009912 · United States
NIGMS NIH HHS · R01 GM069430 · United States
NIDDK NIH HHS · DK056366 · United States
NIDDK NIH HHS · P30 DK056336 · United States
NIDDK NIH HHS · R56 DK056366 · United States
External Links
PubMed source DOI: 10.1017/S0016672306007944 PMC Full Text
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