Project C: Systems Genetics of Metabolism;Ron Korstanje (Jackson) The mouse has been used as a model for many metabolic traits. Hundreds of QTL studies have been published. However, most of these studies measure single traits, even though clear correlations and interactions exist for multiple traits. In addition, these studies usually do not look at epigenetic or environmental effects. In a systems genetics approach to metabolic traits, with an emphasis on HDL cholesterol levels, we combine metabolic profiling, sequencing of RNA transcripts (RNAseq), whole-genome methylation mapping, and the mapping power of intercrossed recombinant inbred (RIX) Collaborative Cross (CC) mice to map metabolic syndrome related traits, liver (allele-specific) transcripts and splice variants and their interactions, on both a standard chow diet and a vitamin D enriched diet.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Specialized Center (P50)
Project #
5P50GM076468-09
Application #
8691875
Study Section
Special Emphasis Panel (ZGM1)
Project Start
Project End
Budget Start
2014-07-01
Budget End
2015-06-30
Support Year
9
Fiscal Year
2014
Total Cost
Indirect Cost
Name
Jackson Laboratory
Department
Type
DUNS #
City
Bar Harbor
State
ME
Country
United States
Zip Code
04609
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
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
Simecek, Petr; Forejt, Jiri; Williams, Robert W et al. (2017) High-Resolution Maps of Mouse Reference Populations. G3 (Bethesda) 7:3427-3434
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
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
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
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
Powers, Natalie R; Parvanov, Emil D; Baker, Christopher L et al. (2016) The Meiotic Recombination Activator PRDM9 Trimethylates Both H3K36 and H3K4 at Recombination Hotspots In Vivo. PLoS Genet 12:e1006146

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