The goal of the NIMH Human Genetics Initiative (HGI) is to further understand the genetic and environmental etiologies of mental disorders. One of the major mechanisms for accomplishing this goal is the NIMH Center for Collaborative Genomics Research on Mental Disorders (the """"""""Center""""""""), which receives raw biosamples such as blood from NIMH PIs. The Center processes samples to DNA, RNA, cDNA or cell lines, which can then be submitted for genomic analyses. Along with biosamples the Center receives clinical/phenotypic data for each subject and, eventually, the results of genomic analyses. After a proprietary period, the clinical data, genomic data, DNA, RNA, cDNA and cell lines are made available to all NIMH-approved researchers through a. secure web site. This sharing of uniformly processed biological samples and clinical and genomic data from many cohorts leverages the NIMH investment in a large number of HGI grants. It provides critical research power by providing a large body of data applicable to investigations on the genetic bases for individual mental disorders. Since October 1998, >147,000 subject samples have been submitted and the Center has distributed >310,000 DNA samples and >9,000 cell lines. There have been >450 distributions of clinical and genotype data to ~340 investigators and >260 publications using these samples and data. Starting in 2011 the Center provided cell line banking and characterization services for induced pluripotent stem cells (iPSC) and their progenitor somatic cells. The Center also develops novel bioinformatics and computational genomics tools and methodologies designed to integrate and analyze large, independent sets of genotypic and phenotypic data while resolving phenotype and/or genotype discrepancies in datasets. As its guiding aim, the Center will continue to innovate in order to serve the scientific needs of NIMH PIs in a flexible and highly accessible manner, while respecting subject confidentiality, informed consent issues and PI prerogatives.

Public Health Relevance

The Center provides research the resources that will enable researchers to pinpoint the genetic causes of mental disorders. Understanding the genetics of mental disorders will likely result in new diagnostic and therapeutic approaches.

National Institute of Health (NIH)
National Institute of Mental Health (NIMH)
Resource-Related Research Projects--Cooperative Agreements (U24)
Project #
Application #
Study Section
Special Emphasis Panel (ZMH1-ERB-C (03))
Program Officer
Lehner, Thomas
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Rutgers University
Schools of Arts and Sciences
New Brunswick
United States
Zip Code
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

Showing the most recent 10 out of 107 publications