Abstract

We aim to develop, test, and apply a drastically new computational methodology for the analysis of more than one complex phenotype at a time, with the goal of generating novel biological results. Specifically, we propose to design and validate a battery of novel analytical tools for the inference of causal relationships among human genomic variations, environmental factors, and more than one mental health phenotype, explicitly exploiting the genetic and environmental non-independence of complex (multigenic) disorders.

Public Health Relevance

We attempt to consolidate in a single modeling framework a number of disparate approaches for analysis of complex neuropsychiatric disorders. The comprehensive modeling approach will produce experimentally testable predictions, a considerable number of which we will be able to validate within the proposed research. We will focus on several phenotypes with major impacts on the health of US populations, such as anxiety, schizophrenia and depression.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Specialized Center (P50)
Project #
5P50MH094267-05
Application #
8911363
Study Section
Special Emphasis Panel (ZMH1-ERB-S (02))
Program Officer
Addington, Anjene M
Project Start
2011-09-22
Project End
2016-07-31
Budget Start
2015-08-01
Budget End
2016-07-31
Support Year
5
Fiscal Year
2015
Total Cost
$1,929,768
Indirect Cost
$408,880

  Institution

Name
University of Chicago
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
005421136
City
Chicago
State
IL
Country
United States
Zip Code
60637

  Publications

Khramtsova, Ekaterina A; Heldman, Raphael; Derks, Eske M et al. (2018) Sex differences in the genetic architecture of obsessive-compulsive disorder. Am J Med Genet B Neuropsychiatr Genet :
Mork, Ryan L; Hogan, Patrick G; Muenks, Carol E et al. (2018) Comprehensive modeling reveals proximity, seasonality, and hygiene practices as key determinants of MRSA colonization in exposed households. Pediatr Res 84:668-676
Chattopadhyay, Ishanu; Kiciman, Emre; Elliott, Joshua W et al. (2018) Conjunction of factors triggering waves of seasonal influenza. Elife 7:
Hogan, Patrick G; Mork, Ryan L; Boyle, Mary G et al. (2018) Interplay of personal, pet, and environmental colonization in households affected by community-associated methicillin-resistant Staphylococcus aureus. J Infect :
Gray, Christine L; Lobdell, Danelle T; Rappazzo, Kristen M et al. (2018) Associations between environmental quality and adult asthma prevalence in medical claims data. Environ Res 166:529-536
Saal, Hannes P; Delhaye, Benoit P; Rayhaun, Brandon C et al. (2017) Simulating tactile signals from the whole hand with millisecond precision. Proc Natl Acad Sci U S A 114:E5693-E5702
Wang, Kanix; Gaitsch, Hallie; Poon, Hoifung et al. (2017) Classification of common human diseases derived from shared genetic and environmental determinants. Nat Genet 49:1319-1325
Chen, Rui; Davis, Lea K; Guter, Stephen et al. (2017) Leveraging blood serotonin as an endophenotype to identify de novo and rare variants involved in autism. Mol Autism 8:14
Dolan, M Eileen; El Charif, Omar; Wheeler, Heather E et al. (2017) Clinical and Genome-Wide Analysis of Cisplatin-Induced Peripheral Neuropathy in Survivors of Adult-Onset Cancer. Clin Cancer Res 23:5757-5768
Sala, Ambre J; Bott, Laura C; Morimoto, Richard I (2017) Shaping proteostasis at the cellular, tissue, and organismal level. J Cell Biol 216:1231-1241

Showing the most recent 10 out of 83 publications