The major objective of this core is to provide wet-lab technological support and expertise to the investigators in the Center. We anticipate that results from network reverse engineering modeling in Core 1 will make predictions about not only the role of individual genes but also the state of particular suites of genes and of networks. To identify the relationship between multiple phenotypes, stimuli, and genotypes, high-throughput biochemical, proteomic, and genetic screening is essential. Simultaneous molecular profiling of large numbers of gene products to assess genetic status, expression level or protein modification state can rapidly provide an overview of the state of a cellular system.
This core will provide an experimental infrastructure for functional validation of computational predictions about associations between the detected genetic variation in patient DNA and onset of complex neuropsychiatric disorders.
|Manrai, Arjun K; Funke, Birgit H; Rehm, Heidi L et al. (2016) Genetic Misdiagnoses and the Potential for Health Disparities. N Engl J Med 375:655-65|
|Nazeen, Sumaiya; Palmer, Nathan P; Berger, Bonnie et al. (2016) Integrative analysis of genetic data sets reveals a shared innate immune component in autism spectrum disorder and its co-morbidities. Genome Biol 17:228|
|Lykins, Joseph; Wang, Kanix; Wheeler, Kelsey et al. (2016) Understanding Toxoplasmosis in the United States Through "Large Data" Analyses. Clin Infect Dis 63:468-75|
|Somekh, Judith; Peleg, Mor; Eran, Alal et al. (2016) A model-driven methodology for exploring complex disease comorbidities applied to autism spectrum disorder and inflammatory bowel disease. J Biomed Inform 63:366-378|
|Mallory, Emily K; Zhang, Ce; RÃ©, Christopher et al. (2016) Large-scale extraction of gene interactions from full-text literature using DeepDive. Bioinformatics 32:106-13|
|Bagley, Steven C; Sirota, Marina; Chen, Richard et al. (2016) Constraints on Biological Mechanism from Disease Comorbidity Using Electronic Medical Records and Database of Genetic Variants. PLoS Comput Biol 12:e1004885|
|Li, Yong Fuga; Xin, Fuxiao; Altman, Russ B (2016) SEPARATING THE CAUSES AND CONSEQUENCES IN DISEASE TRANSCRIPTOME. Pac Symp Biocomput 21:381-92|
|Gamazon, Eric R; Wheeler, Heather E; Shah, Kaanan P et al. (2015) A gene-based association method for mapping traits using reference transcriptome data. Nat Genet 47:1091-8|
|Yu, Dongmei; Mathews, Carol A; Scharf, Jeremiah M et al. (2015) Cross-disorder genome-wide analyses suggest a complex genetic relationship between Tourette's syndrome and OCD. Am J Psychiatry 172:82-93|
|Kohane, Isaac S (2015) An autism case history to review the systematic analysis of large-scale data to refine the diagnosis and treatment of neuropsychiatric disorders. Biol Psychiatry 77:59-65|
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