Abstract

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.

  Funding Agency

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

  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

Zhu, Ying; Sousa, André M M; Gao, Tianliuyun et al. (2018) Spatiotemporal transcriptomic divergence across human and macaque brain development. Science 362:
Amiri, Anahita; Coppola, Gianfilippo; Scuderi, Soraya et al. (2018) Transcriptome and epigenome landscape of human cortical development modeled in organoids. Science 362:
Rhie, Suhn K; Schreiner, Shannon; Witt, Heather et al. (2018) Using 3D epigenomic maps of primary olfactory neuronal cells from living individuals to understand gene regulation. Sci Adv 4:eaav8550
Wang, Daifeng; Liu, Shuang; Warrell, Jonathan et al. (2018) Comprehensive functional genomic resource and integrative model for the human brain. Science 362:
Li, Mingfeng; Santpere, Gabriel; Imamura Kawasawa, Yuka et al. (2018) Integrative functional genomic analysis of human brain development and neuropsychiatric risks. Science 362:
An, Joon-Yong; Lin, Kevin; Zhu, Lingxue et al. (2018) Genome-wide de novo risk score implicates promoter variation in autism spectrum disorder. Science 362:
Kozlenkov, Alexey; Li, Junhao; Apontes, Pasha et al. (2018) A unique role for DNA (hydroxy)methylation in epigenetic regulation of human inhibitory neurons. Sci Adv 4:eaau6190
Yao, Lixia; Li, Ying; Ghosh, Soumitra et al. (2015) Health ROI as a measure of misalignment of biomedical needs and resources. Nat Biotechnol 33:807-11