The overall aim of the Recruitment and Diagnosis Core is to identify and follow an adequate number of subjects for studies that investigate the relationship between cardiovascular risk factors and Alzheimer's disease (AD). In order to provide appropriate subjects for all investigations in the Program Project, the Recruitment and Diagnosis Core will prospectively follow individuals who are not demented and those who have mild to moderate dementia and AD. The core will ensure that all enrolled subjects meet the necessary criteria for inclusion and exclusion in studies. The Recruitment and Diagnosis Core's serial assessments will ensure appropriate group assignment for all subjects and will permit determination of subjects' eligibility for continued inclusion in studies. Among the critical clinical diagnoses and observations will be those that relate to cardiovascular risk factors and to cerebrovascular disease and vascular dementia. The Recruitment and Diagnosis Core collaborates with the Neuropathology and Brain Bank Cores on obtaining antemortem clinical information on all autopsy cases and assigning final diagnoses for all autopsied cases. The results of these assessments and diagnoses are referred to the Data Management and Statistics Core for incorporation into the data warehouse permitting data access to all relevant cores and projects. A centralized Recruitment and Diagnosis Core facility for patient evaluation and referral to studies is the most efficient way to ensure that the overall aim of the Program Project is met.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
5P01AG002219-27
Application #
7379964
Study Section
Special Emphasis Panel (ZAG1)
Project Start
Project End
Budget Start
2007-04-01
Budget End
2008-03-31
Support Year
27
Fiscal Year
2007
Total Cost
$410,947
Indirect Cost
Name
Mount Sinai School of Medicine
Department
Type
DUNS #
078861598
City
New York
State
NY
Country
United States
Zip Code
10029
Gusev, Alexander; Mancuso, Nicholas; Won, Hyejung et al. (2018) Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights. Nat Genet 50:538-548
Girdhar, Kiran; Hoffman, Gabriel E; Jiang, Yan et al. (2018) Cell-specific histone modification maps in the human frontal lobe link schizophrenia risk to the neuronal epigenome. Nat Neurosci 21:1126-1136
Hauberg, Mads E; Fullard, John F; Zhu, Lingxue et al. (2018) Differential activity of transcribed enhancers in the prefrontal cortex of 537 cases with schizophrenia and controls. Mol Psychiatry :
Agrawal, A; Chou, Y-L; Carey, C E et al. (2018) Genome-wide association study identifies a novel locus for cannabis dependence. Mol Psychiatry 23:1293-1302
Dobbyn, Amanda; Huckins, Laura M; Boocock, James et al. (2018) Landscape of Conditional eQTL in Dorsolateral Prefrontal Cortex and Co-localization with Schizophrenia GWAS. Am J Hum Genet 102:1169-1184
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
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
Giambartolomei, Claudia; Zhenli Liu, Jimmy; Zhang, Wen et al. (2018) A Bayesian framework for multiple trait colocalization from summary association statistics. Bioinformatics 34:2538-2545
Toker, Lilah; Mancarci, Burak Ogan; Tripathy, Shreejoy et al. (2018) Transcriptomic Evidence for Alterations in Astrocytes and Parvalbumin Interneurons in Subjects With Bipolar Disorder and Schizophrenia. Biol Psychiatry 84:787-796
Huckins, L M; Hatzikotoulas, K; Southam, L et al. (2018) Investigation of common, low-frequency and rare genome-wide variation in anorexia nervosa. Mol Psychiatry 23:1169-1180

Showing the most recent 10 out of 306 publications