ArticleGenetics2005
Functional mapping of quantitative trait loci that interact with the hg mutation to regulate growth trajectories in mice.
Article in Genetics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Mapping the Influence of Light Intensity on the Transgenerational Genetic Architecture ofCurrent issues in molecular biology · 2024Article
- A Holling Functional Response Model for Mapping QTLs Governing Interspecific Interactions.Frontiers in genetics · 2021Article
- Computational identification of genes modulating stem height-diameter allometry.Plant biotechnology journal · 2016Article
- Genetic linkage map construction and QTL identification of juvenile growth traits in Torreya grandis.BMC genetics · 2014Article
- A maximum likelihood approach to functional mapping of longitudinal binary traits.Statistical applications in genetics and molecular biology · 2012Article
- Genetic mapping of complex traits by minimizing integrated square errors.BMC genetics · 2012Article
- A dynamic model for functional mapping of biological rhythms.Journal of biological dynamics · 2011Article
- QTLMAS 2009: simulated dataset.BMC proceedings · 2010Article
- Towards systems genetic analyses in barley: Integration of phenotypic, expression and genotype data into GeneNetwork.BMC genetics · 2008Article
- Bayesian analyses of multiple epistatic QTL models for body weight and body composition in mice.Genetical research · 2006Article
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Authors and funding
5 authors.
Funding
Abstract
The high growth (hg) mutation increases body size in mice by 30-50%. Given the complexity of the genetic regulation of animal growth, it is likely that the effect of this major locus is mediated by other quantitative trait loci (QTL) with smaller effects within a web of gene interactions. In this article, we extend our functional mapping model to characterize modifier QTL that interact with the hg locus during ontogenetic growth. Our model is derived within the maximum-likelihood context, incorporated by mathematical aspects of growth laws and implemented with the EM algorithm. In an F2 population founded by a congenic high growth (HG) line and non-HG line, a highly additive effect due to the hg gene was detected on growth trajectories. Three QTL located on chromosomes 2 and X were identified to trigger significant additive and/or dominant effects on the process of growth. The most significant finding made from our model is that these QTL interact with the hg locus to affect the shapes of the growth process. Our model provides a powerful means for understanding the genetic architecture and regulation of growth rate and body size in mammals.
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