Previous work by CGD faculty has established two critical properties of quantitative trait loci (QTL).? First, they represent only a sub-set of the totality of genes functionally required for a complex trait such as the? regulation of blood pressure or relative susceptibility to atherosclerosis. And second, the same sub-set of? genes determine QTLs across mammalian species. QTLs for a given trait are often located at homologous? chromosomal locations in human, mouse and rat. A probable explanation for these findings is that QTLs? represent key regulatory functions whose role has been conserved over the course of mammalian evolution.? Given that the QTLs for various phenotypes are responsible for most of the population variation on ? which evolution can act and that the identity of these QTL is an ancient property of mammals, genome? dynamics predicts that the QTLs for fundamental physiological properties are likely to be genetically linked to? promote the co-inheritance of favorable allelic combinations. The hypothesis of this project is that functional? domains are a general feature of mammalian chromosomal organization and will be revealed by the clustering? of QTLs affecting a phenotype. Rigorously testing this hypothesis requires that we efficiently locate QTLs at a? resolution of a few Mb or less across the diversity of Mus subspecies.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Specialized Center (P50)
Project #
5P50GM076468-02
Application #
7557335
Study Section
Special Emphasis Panel (ZGM1)
Project Start
Project End
Budget Start
2007-04-01
Budget End
2008-03-31
Support Year
2
Fiscal Year
2007
Total Cost
$231,861
Indirect Cost
Name
Jackson Laboratory
Department
Type
DUNS #
042140483
City
Bar Harbor
State
ME
Country
United States
Zip Code
04609
Wang, Jeremy R; Holt, James; McMillan, Leonard et al. (2018) FMLRC: Hybrid long read error correction using an FM-index. BMC Bioinformatics 19:50
Ju, Chelsea J-T; Zhao, Zhuangtian; Wang, Wei (2017) Efficient Approach to Correct Read Alignment for Pseudogene Abundance Estimates. IEEE/ACM Trans Comput Biol Bioinform 14:522-533
Simecek, Petr; Forejt, Jiri; Williams, Robert W et al. (2017) High-Resolution Maps of Mouse Reference Populations. G3 (Bethesda) 7:3427-3434
Tyler, Anna L; Ji, Bo; Gatti, Daniel M et al. (2017) Epistatic Networks Jointly Influence Phenotypes Related to Metabolic Disease and Gene Expression in Diversity Outbred Mice. Genetics 206:621-639
Morgan, Andrew P; Gatti, Daniel M; Najarian, Maya L et al. (2017) Structural Variation Shapes the Landscape of Recombination in Mouse. Genetics 206:603-619
Parvanov, Emil D; Tian, Hui; Billings, Timothy et al. (2017) PRDM9 interactions with other proteins provide a link between recombination hotspots and the chromosomal axis in meiosis. Mol Biol Cell 28:488-499
Morgan, Andrew P; Didion, John P; Doran, Anthony G et al. (2016) Whole Genome Sequence of Two Wild-Derived Mus musculus domesticus Inbred Strains, LEWES/EiJ and ZALENDE/EiJ, with Different Diploid Numbers. G3 (Bethesda) 6:4211-4216
Chesler, Elissa J; Gatti, Daniel M; Morgan, Andrew P et al. (2016) Diversity Outbred Mice at 21: Maintaining Allelic Variation in the Face of Selection. G3 (Bethesda) 6:3893-3902
Gu, Tongjun; Gatti, Daniel M; Srivastava, Anuj et al. (2016) Genetic Architectures of Quantitative Variation in RNA Editing Pathways. Genetics 202:787-98
Korstanje, Ron; Deutsch, Konstantin; Bolanos-Palmieri, Patricia et al. (2016) Loss of Kynurenine 3-Mono-oxygenase Causes Proteinuria. J Am Soc Nephrol 27:3271-3277

Showing the most recent 10 out of 128 publications