Abstract

The overall goal of this project is to model and make phenotype-gene-environment association predictions using multiple data types relevant to neuropsychiatric phenotypes. While numerous groups around the globe tackle the bigger problem of tracing environmental and genetic factors affecting manifestation of complex traits in humans, only a small fraction of these studies is relevant to neuropsychiatric phenotypes. To our knowledge, no holistic approach of modeling and computational scrutiny of multiple threads of experimental evidence exists. This project is designed to fill this gap;it is the focal point of all the modeling proposed hereit brings together all projects and all experts of the Center, to create a consensus on modeling assumptions and analytics, in approaches to normalize data, and in ways to evaluate results of the global inference.

Public Health Relevance

This project aims to provide a mathematical modeling framework for several data types (clinical patient records, genetic variation data, information about prescription drugs and biological background knowledge) to generate and experimentally test predictions about cause-effect relations between genetic variations in humans and disorders. This project focuses on complex neuropsychiatric disorders, such as autism, schizophrenia and depression.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Specialized Center (P50)
Project #
3P50MH094267-04S1
Application #
8936056
Study Section
Special Emphasis Panel (ZMH1 (02))
Program Officer
Addington, Anjene M
Project Start
2011-09-22
Project End
2016-07-31
Budget Start
2014-08-01
Budget End
2015-07-31
Support Year
4
Fiscal Year
2014
Total Cost
$1
Indirect Cost

  Institution

Name
University of Chicago
Department
Type
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