Project H: Causal Modeling of Genetic Systems;Gary A Churchill (Jackson) Mathematical modeling is a defining feature of systems biology. Of the many available approaches to modeling, graphical models [117;118] are unique in their promise to reveal causal relationships and thus to predict response to perturbations based on the correlation structure of multivariate data. Directed graphical models can be inferred from genetic data using genotype as a causal anchor [119;120]. The questions posed here are whether these genotype-driven graphical models can make valid predictions of phenotype and to what extent do the inferred graphical structures reflect the underlying network of biochemical reactions.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Specialized Center (P50)
Project #
5P50GM076468-08
Application #
8531971
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
$39,304
Indirect Cost
$17,320
Name
Jackson Laboratory
Department
Type
DUNS #
042140483
City
Bar Harbor
State
ME
Country
United States
Zip Code
04609
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
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
Morgan, Andrew P; Holt, J Matthew; McMullan, Rachel C et al. (2016) The Evolutionary Fates of a Large Segmental Duplication in Mouse. Genetics 204:267-85
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
Gu, Tongjun; Gatti, Daniel M; Srivastava, Anuj et al. (2016) Genetic Architectures of Quantitative Variation in RNA Editing Pathways. Genetics 202:787-98
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
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
Parvanov, Emil D; Tian, Hui; Billings, Timothy et al. (2016) PRDM9 interactions with other proteins provide a link between recombination hotspots and the chromosomal axis in meiosis. Mol Biol Cell :
Walker, Michael; Billings, Timothy; Baker, Christopher L et al. (2015) Affinity-seq detects genome-wide PRDM9 binding sites and reveals the impact of prior chromatin modifications on mammalian recombination hotspot usage. Epigenetics Chromatin 8:31
Bogue, Molly A; Churchill, Gary A; Chesler, Elissa J (2015) Collaborative Cross and Diversity Outbred data resources in the Mouse Phenome Database. Mamm Genome 26:511-20

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