ArticleMammalian genome : official journal of the International Mammalian Genome Society2004
A large-sample QTL study in mice: I. Growth.
Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed.
- Benchmark Response (BMR) Values for In Vivo Mutagenicity Endpoints.Environmental and molecular mutagenesis · 2025Article
- Developmental coordination disorder: What can we learn from RI mice using motor learning tasks and QTL analysis.Genes, brain, and behavior · 2023Article
- Population structure in genetic studies: Confounding factors and mixed models.PLoS genetics · 2018Review
- A quantitative trait locus on chromosome 1 modulates intermale aggression in mice.Genes, brain, and behavior · 2018Article
- The genomic basis of environmental adaptation in house mice.PLoS genetics · 2018Article
- Burly1 is a mouse QTL for lean body mass that maps to a 0.8-Mb region of chromosome 2.Mammalian genome : official journal of the International Mammalian Genome Society · 2018Article
- Balanced selection on purebred and crossbred performance increases gain in crossbreds.Genetics, selection, evolution : GSE · 2018Article
- Characterization of Copy Number Variation's Potential Role in Marek's Disease.International journal of molecular sciences · 2017Article
- Glucose tolerance female-specific QTL mapped in collaborative cross mice.Mammalian genome : official journal of the International Mammalian Genome Society · 2017Article
- Panx3 links body mass index and tumorigenesis in a genetically heterogeneous mouse model of carcinogen-induced cancer.Genome medicine · 2016Article
- Genetics of Rapid and Extreme Size Evolution in Island Mice.Genetics · 2015Article
- A GWAS assessment of the contribution of genomic imprinting to the variation of body mass index in mice.BMC genomics · 2015Article
- Body composition and gene expression QTL mapping in mice reveals imprinting and interaction effects.BMC genetics · 2013Article
- Exercise and diet affect quantitative trait loci for body weight and composition traits in an advanced intercross population of mice.Physiological genomics · 2012Article
- Identification of exercise capacity QTL using association mapping in inbred mice.Physiological genomics · 2012Article
- Genetic analysis of atherosclerosis and glucose homeostasis in an intercross between C57BL/6 and BALB/cJ apolipoprotein E-deficient mice.Circulation. Cardiovascular genetics · 2012Article
- Article
- 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
- Genomic mapping of social behavior traits in a F2 cross derived from mice selectively bred for high aggression.BMC genetics · 2010Article
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4 authors.
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Abstract
By use of long-term selection lines for high and low growth, a large-sample (n = approximately 1,000 F2) experiment was conducted in mice to further understand the genetic architecture of complex polygenic traits. In combination with previous work, we conclude that QTL analysis has reinforced classic polygenic paradigms put in place prior to molecular analysis. Composite interval mapping revealed large numbers of QTL for growth traits with an exponential distribution of magnitudes of effects and validated theoretical expectations regarding gene action. Of particular significance, large effects were detected on Chromosome (Chr) 2. Regions on Chrs 1, 3, 6, 10, 11, and 17 also harbor loci with significant contributions to phenotypic variation for growth. Despite the large sample size, average confidence intervals of approximately 20 cM exhibit the poor resolution for initial estimates of QTL location. Analysis with genome-wide and chromosomal polygenic models revealed that, under certain assumptions, large fractions of the genome may contribute little to phenotypic variation for growth. Only a few epistatic interactions among detected QTL, little statistical support for gender-specific QTL, and significant age effects on genetic architecture were other primary observations from this study.
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