This proposal is driven by the need to find genes that contribute to the etiology of mental disorders; a goal more readily attained if clinical data and biological materials (DNA and cell lines) are openly shared among investigators. During the past four years, the NIMH Center for Genetic Studies (NCGS), established over 13,000 lymphoblast cell lines (LCLs) from blood samples and processed clinical and genotype data submitted by PIs of the NIMH Human Genetics Initiative. The NCGS distributed over 20,000 DNA aliquots and made more than 82 distributions of family, clinical and genotype data to a larger group of investigators. The establishment of these resources has played a critical role in enhancing and invigorating research on the genetics of mental disorders. Drs. Tischfield and Rice propose to continue their NCGS efforts with this application to become the Cooperative Agreement Award-funded (U24) """"""""Center for Collaborative Genetic Studies on Mental Disorders"""""""" (the """"""""Center""""""""), submitted in response to RFA MH-03-003. They will continue to produce LCLs as a renewable source of DNA and will maintain an improved and easily accessible, web-based bioinformatics repository of clinical and genotype data that will drive future research. They also propose analyses of shared, public data sets that will add to their predictive value for gene discovery. The Center will provide consultation on project design (e.g., power studies), detailed genomics of candidate regions, blood (or other biologicals) collection, data analysis, and best organization and use of shared resources. The overriding aim of the Center will be to serve the scientific needs of the NIMH PIs, while respecting subject confidentiality, informed consent issues, and PI prerogatives. By encouraging and facilitating the collection and sharing of biologicals as well as clinical and genotype data from subjects or families with mental disorders such as schizophrenia, bipolar disorder, or autism, and its own analyses of these data, the Center will greatly accelerate progress toward understanding the inherited components in the etiology of these diseases.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Resource-Related Research Projects--Cooperative Agreements (U24)
Project #
5U24MH068457-04
Application #
7127704
Study Section
Special Emphasis Panel (ZRG1-SSS-G (50))
Program Officer
Lehner, Thomas
Project Start
2003-07-01
Project End
2008-06-30
Budget Start
2006-08-18
Budget End
2007-06-30
Support Year
4
Fiscal Year
2006
Total Cost
$6,454,206
Indirect Cost
Name
Rutgers University
Department
Genetics
Type
Schools of Arts and Sciences
DUNS #
001912864
City
New Brunswick
State
NJ
Country
United States
Zip Code
08901
Zhang, Tianxiao; Hou, Liping; Chen, David T et al. (2018) Exome sequencing of a large family identifies potential candidate genes contributing risk to bipolar disorder. Gene 645:119-123
Sun, N; Nasello, C; Deng, L et al. (2018) The PNKD gene is associated with Tourette Disorder or Tic disorder in a multiplex family. Mol Psychiatry 23:1487-1495
VAN DER Mee, Denise J; Fedko, Iryna O; Hottenga, Jouke-Jan et al. (2018) Dopaminergic Genetic Variants and Voluntary Externally Paced Exercise Behavior. Med Sci Sports Exerc 50:700-708
Abdulkadir, Mohamed; Londono, Douglas; Gordon, Derek et al. (2018) Investigation of previously implicated genetic variants in chronic tic disorders: a transmission disequilibrium test approach. Eur Arch Psychiatry Clin Neurosci 268:301-316
Culverhouse, R C; Saccone, N L; Horton, A C et al. (2018) Collaborative meta-analysis finds no evidence of a strong interaction between stress and 5-HTTLPR genotype contributing to the development of depression. Mol Psychiatry 23:133-142
Thornton, Laura M; Munn-Chernoff, Melissa A; Baker, Jessica H et al. (2018) The Anorexia Nervosa Genetics Initiative (ANGI): Overview and methods. Contemp Clin Trials 74:61-69
Smit, Dirk J A; Wright, Margaret J; Meyers, Jacquelyn L et al. (2018) Genome-wide association analysis links multiple psychiatric liability genes to oscillatory brain activity. Hum Brain Mapp 39:4183-4195
Hysi, Pirro G; Valdes, Ana M; Liu, Fan et al. (2018) Genome-wide association meta-analysis of individuals of European ancestry identifies new loci explaining a substantial fraction of hair color variation and heritability. Nat Genet 50:652-656
Van der Auwera, Sandra; Peyrot, Wouter J; Milaneschi, Yuri et al. (2018) Genome-wide gene-environment interaction in depression: A systematic evaluation of candidate genes: The childhood trauma working-group of PGC-MDD. Am J Med Genet B Neuropsychiatr Genet 177:40-49
Daneshjou, Roxana; Wang, Yanran; Bromberg, Yana et al. (2017) Working toward precision medicine: Predicting phenotypes from exomes in the Critical Assessment of Genome Interpretation (CAGI) challenges. Hum Mutat 38:1182-1192

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