ArticleMammalian genome : official journal of the International Mammalian Genome Society2011
Fine-mapping alleles for body weight in LG/J × SM/J F₂ and F(34) advanced intercross lines.
Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Independent evolution toward larger body size in the distinctive Faroe Island mice.G3 (Bethesda, Md.) · 2021Pooled it
- Genome-wide identification of selection signatures across altitudinal gradients in dairy sheep breeds.Scientific reports · 2025Article
- Mapping the regulatory genetic landscape of complex traits using a chicken advanced intercross line.Nature communications · 2025Article
- Genetic connection of carotid atherosclerosis with coat color and body weight in an intercross between hyperlipidemic mouse strains.Physiological genomics · 2022Article
- Genome-Wide Association Study in Two Cohorts from a Multi-generational Mouse Advanced Intercross Line Highlights the Difficulty of Replication Due to Study-Specific Heterogeneity.G3 (Bethesda, Md.) · 2020Article
- ThePharmacogenomics · 2019Review
- Using Heterogeneous Stocks for Fine-Mapping Genetically Complex Traits.Methods in molecular biology (Clifton, N.J.) · 2019Review
- Genome wide association analysis in a mouse advanced intercross line.Nature communications · 2018Article
- Genome-wide association for testis weight in the diversity outbred mouse population.Mammalian genome : official journal of the International Mammalian Genome Society · 2018Article
- Imputation-Based Fine-Mapping Suggests That Most QTL in an Outbred Chicken Advanced Intercross Body Weight Line Are Due to Multiple, Linked Loci.G3 (Bethesda, Md.) · 2017Article
- Genome-wide association study of behavioral, physiological and gene expression traits in outbred CFW mice.Nature genetics · 2016Article
- The Genetic Basis of Baculum Size and Shape Variation in Mice.G3 (Bethesda, Md.) · 2016Article
- Using whole-genome sequences of the LG/J and SM/J inbred mouse strains to prioritize quantitative trait genes and nucleotides.BMC genomics · 2015Article
- High-resolution genetic mapping of complex traits from a combined analysis of F2 and advanced intercross mice.Genetics · 2014Article
- Fine-mapping QTLs in advanced intercross lines and other outbred populations.Mammalian genome : official journal of the International Mammalian Genome Society · 2014Review
- QTL mapping in outbred populations: successes and challenges.Physiological genomics · 2014Review
- Article
- Selected rapporteur summaries from the XX World Congress of Psychiatric Genetics, Hamburg, Germany, October 14-18, 2012.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2013Article
- Genome-wide genetic diversity and differentially selected regions among Suffolk, Rambouillet, Columbia, Polypay, and Targhee sheep.PloS one · 2013Article
- QTLs for murine red blood cell parameters in LG/J and SM/J F(2) and advanced intercross lines.Mammalian genome : official journal of the International Mammalian Genome Society · 2012Article
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7 authors.
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Abstract
The present study measured variation in body weight using a combined analysis in an F(2) intercross and an F(34) advanced intercross line (AIL). Both crosses were derived from inbred LG/J and SM/J mice, which were selected for large and small body size prior to inbreeding. Body weight was measured at 62 (± 5) days of age. Using an integrated GWAS and forward model selection approach, we identified 11 significant QTLs that affected body weight on ten different chromosomes. With these results we developed a full model that explained over 18% of the phenotypic variance. The median 1.5-LOD support interval was 5.55 Mb, which is a significant improvement over most prior body weight QTLs. We identified nonsynonymous coding SNPs between LG/J and SM/J mice in order to further narrow the list of candidate genes. Three of the genes with nonsynonymous coding SNPs (Rad23b, Stk33, and Anks1b) have been associated with adiposity, waist circumference, and body mass index in human GWAS, thus providing evidence that these genes may underlie our QTLs. Our results demonstrate that a relatively small number of loci contribute significantly to the phenotypic variance in body weight, which is in marked contrast to the situation in humans. This difference is likely to be the result of strong selective pressure and the simplified genetic architecture, both of which are important advantages of our system.
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