Abstract

This Core provides expertise in biostatistics and database management across Projects that meet the needs of animal and human studies. The Core will offer resources for study design, statistical analysis, database management, data checking, entry, verification, transfer, and protocol management. This is a critical part of the Center and essential for high quality integrative research. Standard and specialized statistical and graphics software is available. Projects are linked by protocols for data transfer and statistical consultation is assimilated into design. Core B interacts with Core A to coordinate and track human and animal research participants, contributing to all Projects and to career development.

Public Health Relevance

The expertise and services provided by this Core are essential for achieving high quality research in the Conte Center. The Core will ensure proper study design, smooth operations of the database, access to computing facilities, data security and data analysis. It will also provide education to trainees in experimental design and statistics.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Specialized Center (P50)
Project #
4P50MH096891-05
Application #
9118377
Study Section
Special Emphasis Panel (ZMH1)
Project Start
Project End
Budget Start
2016-06-01
Budget End
2017-05-31
Support Year
5
Fiscal Year
2016
Total Cost
Indirect Cost

  Institution

Name
University of Pennsylvania
Department
Type
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104

  Publications

Baum, Graham L; Roalf, David R; Cook, Philip A et al. (2018) The impact of in-scanner head motion on structural connectivity derived from diffusion MRI. Neuroimage 173:275-286
Xia, Cedric Huchuan; Ma, Zongming; Ciric, Rastko et al. (2018) Linked dimensions of psychopathology and connectivity in functional brain networks. Nat Commun 9:3003
Gandal, Michael J; Haney, Jillian R; Parikshak, Neelroop N et al. (2018) Shared molecular neuropathology across major psychiatric disorders parallels polygenic overlap. Science 359:693-697
Liu, Yichuan; Chang, Xiao; Hahn, Chang-Gyu et al. (2018) Non-coding RNA dysregulation in the amygdala region of schizophrenia patients contributes to the pathogenesis of the disease. Transl Psychiatry 8:44
Curtis, David (2018) Polygenic risk score for schizophrenia is more strongly associated with ancestry than with schizophrenia. Psychiatr Genet 28:85-89
Chang, Xiao; Lima, Leandro de Araujo; Liu, Yichuan et al. (2018) Common and Rare Genetic Risk Factors Converge in Protein Interaction Networks Underlying Schizophrenia. Front Genet 9:434
Moore, Tyler M; Calkins, Monica E; Reise, Steven P et al. (2018) Development and public release of a computerized adaptive (CAT) version of the Schizotypal Personality Questionnaire. Psychiatry Res 263:250-256
Khan, Atlas; Liu, Qian; Wang, Kai (2018) iMEGES: integrated mental-disorder GEnome score by deep neural network for prioritizing the susceptibility genes for mental disorders in personal genomes. BMC Bioinformatics 19:501
Amiri, Anahita; Coppola, Gianfilippo; Scuderi, Soraya et al. (2018) Transcriptome and epigenome landscape of human cortical development modeled in organoids. Science 362:
Barzilay, Ran; White, Lauren K; Calkins, Monica E et al. (2018) Sex-Specific Association Between High Traumatic Stress Exposure and Social Cognitive Functioning in Youths. Biol Psychiatry Cogn Neurosci Neuroimaging 3:860-867

Showing the most recent 10 out of 87 publications