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 #
5P50GM076468-10
Application #
8898082
Study Section
Special Emphasis Panel (ZGM1-CBCB-2)
Project Start
Project End
2017-06-30
Budget Start
2015-07-01
Budget End
2016-06-30
Support Year
10
Fiscal Year
2015
Total Cost
$193,896
Indirect Cost
$85,513
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

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