The Psychiatric Genomics Consortium aims to aggregate and analyze genetic data to advance our understanding of psychiatric disorders. The continued success of the PGC has seen the scale of the project increase as we attract more collaborators and expand to study a wider range of psychiatric disorders. With this growth we see the need for the appointment of a new position, the Data Intake Officer (DIO).

Public Health Relevance

By appointing a dedicated person (Data Intake Officer) to be responsible for this entire process of sample intake and integration, we will improve the efficiency of PGC operations and ultimately enable more rapid and seamless genetic data science.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project--Cooperative Agreements (U01)
Project #
3U01MH109539-04S2
Application #
9924026
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Dutka, Tara
Project Start
2016-07-01
Project End
2021-03-31
Budget Start
2020-01-16
Budget End
2020-03-31
Support Year
4
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02114
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Walters, Raymond K; Polimanti, Renato; Johnson, Emma C et al. (2018) Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders. Nat Neurosci 21:1656-1669
Yilmaz, Zeynep; Halvorsen, Matthew; Bryois, Julien et al. (2018) Examination of the shared genetic basis of anorexia nervosa and obsessive-compulsive disorder. Mol Psychiatry :
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Marshall, Christian R (see original citation for additional authors) (2017) Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects. Nat Genet 49:27-35
Duncan, Laramie; Yilmaz, Zeynep; Gaspar, Helena et al. (2017) Significant Locus and Metabolic Genetic Correlations Revealed in Genome-Wide Association Study of Anorexia Nervosa. Am J Psychiatry 174:850-858
Weiner, Daniel J; Wigdor, Emilie M; Ripke, Stephan et al. (2017) Polygenic transmission disequilibrium confirms that common and rare variation act additively to create risk for autism spectrum disorders. Nat Genet 49:978-985