In this supplement, we propose developing new computational approaches for psychiatric genetics, building on emergent strengths of deep learning and quantum computing. These approaches, utilizing very large external medical and genetic datasets, will allow automatic extension of the existing annotations of human genetic variants and of protein expression markers in brain to numerous under-studied neuropsychiatric diseases.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
3R01MH110905-03S1
Application #
9631714
Study Section
Special Emphasis Panel (ZMH1)
Program Officer
Arguello, Alexander
Project Start
2016-07-08
Project End
2020-04-30
Budget Start
2018-06-25
Budget End
2019-04-30
Support Year
3
Fiscal Year
2018
Total Cost
Indirect Cost
Name
University of Chicago
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
005421136
City
Chicago
State
IL
Country
United States
Zip Code
60637
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