Abstract

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.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Specialized Center (P50)
Project #
5P50GM076468-08
Application #
8531958
Study Section
Special Emphasis Panel (ZGM1-CBCB-2)
Project Start
Project End
Budget Start
2013-07-01
Budget End
2014-06-30
Support Year
8
Fiscal Year
2013
Total Cost
$218,768
Indirect Cost
$96,404

  Institution

Name
Jackson Laboratory
Department
Type
DUNS #
042140483
City
Bar Harbor
State
ME
Country
United States
Zip Code
04609

  Publications

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
Chick, Joel M; Munger, Steven C; Simecek, Petr et al. (2016) Defining the consequences of genetic variation on a proteome-wide scale. Nature 534:500-5
Tyler, Anna L; Donahue, Leah Rae; Churchill, Gary A et al. (2016) Weak Epistasis Generally Stabilizes Phenotypes in a Mouse Intercross. PLoS Genet 12:e1005805
Morton, Nicholas M; Beltram, Jasmina; Carter, Roderick N et al. (2016) Genetic identification of thiosulfate sulfurtransferase as an adipocyte-expressed antidiabetic target in mice selected for leanness. Nat Med 22:771-9
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

Showing the most recent 10 out of 128 publications