ArticleMammalian genome : official journal of the International Mammalian Genome Society2006
A comprehensive mouse IBD database for the efficient localization of quantitative trait loci.
Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2006. 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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10 citing papers in PubMed, 13 citations in OpenAlex.
- Fine mapping of the Bmgr5 quantitative trait locus for allogeneic bone marrow engraftment in mice.Immunogenetics · 2013Article
- Genome sequence of the date palm Phoenix dactylifera L.Nature communications · 2013Article
- In silico QTL mapping of maternal nurturing ability with the mouse diversity panel.Physiological genomics · 2012Article
- Genetic analysis of type 1 diabetes: embryonic stem cells as new tools to unlock biological mechanisms in type 1 diabetes.The review of diabetic studies : RDS · 2012Review
- A comprehensive genetic analysis of candidate genes regulating response to Trypanosoma congolense infection in mice.PLoS neglected tropical diseases · 2010Article
- QTL analyses of lineage-negative mouse bone marrow cells labeled with Sca-1 and c-Kit.Mammalian genome : official journal of the International Mammalian Genome Society · 2008Article
- Adrenal gland tumorigenesis after gonadectomy in mice is a complex genetic trait driven by epistatic loci.Endocrinology · 2008Article
- Genome-wide microarray expression analysis of CD4+ T Cells from nonobese diabetic congenic mice identifies Cd55 (Daf1) and Acadl as candidate genes for type 1 diabetes.Journal of immunology (Baltimore, Md. : 1950) · 2008Article
- Interleukin-2 gene variation impairs regulatory T cell function and causes autoimmunity.Nature genetics · 2007Article
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6 authors at 3 institutions in 1 country.
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Abstract
Traditional fine-mapping approaches in mouse genetics that go from a linkage region to a candidate gene are very costly and time consuming. Shared ancestry regions, along with the combination of genetics and genomics approaches, provide a powerful tool to shorten the time and effort required to identify a causative gene. In this article we present a novel methodology that predicts IBD (identical by descent) regions between pairs of inbred strains using single nucleotide polymorphism (SNP) maps. We have validated this approach by comparing the IBD regions, estimated using different algorithms, to the results derived using the sequence information in the strains present in the Celera Mouse Database. We showed that based on the current publicly available SNP genotypes, large IBD regions (>1 Mb) can be identified successfully. By assembling a list of 21,514 SNPs in 61 common inbred strains, we inferred IBD regions between all pairs of strains and confirmed, for the first time, that existing quantitative trait genes (QTG) and susceptibility genes all lie outside of IBD regions. We also illustrated how knowledge of IBD structures can be applied to strain selection for future crosses. We have made our results available for data mining and download through a public website ( http://www.mouseibd.florida.scripps.edu ).
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.