This is a new ADCC submission for the Joseph and Kathleen Bryan Alzheimer's Disease Research Center (Bryan ADRC) at Duke University Medical Center. The Bryan ADRC is a multidisciplinary research center established in 1985 which supports and conducts basic science and clinical research in Alzheimer's disease (AD) and related disorders with an emphasis on genetic predisposition, early diagnosis, autopsy confirmation, and educational outreach. Efforts include special focus on the inclusion of minority populations, specifically African-Americans and an emphasis on methodological synergy between our clinic-based and population-based studies. Overall specific aims are to: (1) provide expertise for the diagnosis, prevention, and treatment of mild cognitive disorders and their transition to dementia;(2) provide the structure and context for the ascertainment, evaluation, longitudinal follow-up and research participation of large MCI and AD patient samples and multiplex genetic families;(3) disseminate tissue and provide needed resources for research;(4) facilitate clinical and basic science research of AD and related disorders, leading to advances in the biology of AD with a particular emphasis on genomic approaches (genetics, translational studies, proteomics, metabolomics, etc). The Center's structure consists of four Cores along with a privately supported Genomics Core facilitated by new collaborations with the Institute of Genomic Sciences and Policy at Duke (IGSP) and Glaxo Smith Kline. The Cores include: Clinical; Data Management &Statistics; Neuropathology;and Education;along with two pilot projects per year (determined yearly). The Center integrates, coordinates, and fosters interdisciplinary collaborations at Duke and beyond. The Bryan ADRC provides important resources, e.g., well-characterized patients and control subjects, family information, tissue and biological specimens for the new genomic medicine initiatives. The public health significance brought to bear by the Bryan ADRC with its tremendous new links to technological resources in industry is an efficient, productive, and fully collaborative structure leading to the discovery of the cause(s) of AD and related illnesses with an ultimate goal of developing scientifically well-informed, rational, and effective approaches to the prevention, care, and treatment of memory disorders and overall improvement of health care delivery.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Center Core Grants (P30)
Project #
5P30AG028377-04
Application #
7647086
Study Section
Special Emphasis Panel (ZAG1-ZIJ-4 (M1))
Program Officer
Silverberg, Nina B
Project Start
2006-08-01
Project End
2011-06-30
Budget Start
2009-09-15
Budget End
2010-06-30
Support Year
4
Fiscal Year
2009
Total Cost
$1,803,493
Indirect Cost
Name
Duke University
Department
Psychiatry
Type
Schools of Medicine
DUNS #
044387793
City
Durham
State
NC
Country
United States
Zip Code
27705
Winawer, Melodie R; Griffin, Nicole G; Samanamud, Jorge et al. (2018) Somatic SLC35A2 variants in the brain are associated with intractable neocortical epilepsy. Ann Neurol 83:1133-1146
Epi4K Consortium; EuroEPINOMICS-RES Consortium; Epilepsy Phenome Genome Project (2017) Application of rare variant transmission disequilibrium tests to epileptic encephalopathy trio sequence data. Eur J Hum Genet 25:894-899
Sims, Rebecca (see original citation for additional authors) (2017) Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer's disease. Nat Genet 49:1373-1384
Gelfman, Sahar; Wang, Quanli; McSweeney, K Melodi et al. (2017) Annotating pathogenic non-coding variants in genic regions. Nat Commun 8:236
Mori, Mari; Haskell, Gloria; Kazi, Zoheb et al. (2017) Sensitivity of whole exome sequencing in detecting infantile- and late-onset Pompe disease. Mol Genet Metab 122:189-197
Jun, Gyungah R; Chung, Jaeyoon; Mez, Jesse et al. (2017) Transethnic genome-wide scan identifies novel Alzheimer's disease loci. Alzheimers Dement 13:727-738
Ridge, Perry G; Hoyt, Kaitlyn B; Boehme, Kevin et al. (2016) Assessment of the genetic variance of late-onset Alzheimer's disease. Neurobiol Aging 41:200.e13-200.e20
Hohman, Timothy J; Bush, William S; Jiang, Lan et al. (2016) Discovery of gene-gene interactions across multiple independent data sets of late onset Alzheimer disease from the Alzheimer Disease Genetics Consortium. Neurobiol Aging 38:141-150
Szabo, Steven T; Harry, G Jean; Hayden, Kathleen M et al. (2016) Comparison of Metal Levels between Postmortem Brain and Ventricular Fluid in Alzheimer's Disease and Nondemented Elderly Controls. Toxicol Sci 150:292-300
Lutz, Michael W; Sundseth, Scott S; Burns, Daniel K et al. (2016) A Genetics-based Biomarker Risk Algorithm for Predicting Risk of Alzheimer's Disease. Alzheimers Dement (N Y) 2:30-44

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