The essence of the overall OADC mission -- facilitation and advancement of research in Alzheimer disease (AD) and dementia -- will be achieved by the establishment of a new core, the """"""""Genetics Core,"""""""" organized to support current research strengths as well as respond to the developing potential of new discoveries in the field. The major themes of the research supported by the Genetics Core are: AD pathogenesis; healthy aging of the brain; Parkinson dementia; and gender and ethnic differences in AD and healthy aging. Within this context, the Genetics Core's specific aims are: (1) to provide continuously updated genetic information (i.e., documented family history, genotype, and banking of DNA and plasma) for the five key cohorts enrolled in the OADC, including AD patients, healthy elderly, Native-American elderly, African-American AD subjects, and Parkinson patients; (2) to bridge basic science and clinical research by providing basic scientists with a detailed genetic characterization of the OADC post-mortem tissue, DNA samples from OADC subjects, and facilities and expertise to test for genetic linkage and association between AD and their molecules of interest (CNTF, CNTF receptor, acidic and basic FGF, FGF receptors 1-4, K+ channels, and others in the future); (3) to support ongoing collaborative genetic studies with the Seattle and the UCLA ADC's including genetic linkage studies of familial AD kindreds, examining the effects of HLA, ApoE, and gender on the age at onset of AD; (4) to collaborate with the OHSU Clinical Genetics Program and the OHSU DNA Diagnostic Laboratory to provide genetic counseling and risk assessment to the public; and (5) to participate in educational programs of the Education and Information Transfer Core and of the Alzheimer Association. The collaborations outlined above are funded independently. The contributions of the OADC Genetics Core to the collaborative research projects will be documented family histories, genotypes, and DNA and plasma from OADC subjects. Similarly, the public service programs for genetic counseling and testing will be financially independent of the OADC but will have close scientific ties with OADC investigators.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Center Core Grants (P30)
Project #
3P30AG008017-12S2
Application #
6495040
Study Section
Project Start
2001-09-01
Project End
2002-03-31
Budget Start
Budget End
Support Year
12
Fiscal Year
2001
Total Cost
Indirect Cost
Name
Oregon Health and Science University
Department
Type
DUNS #
009584210
City
Portland
State
OR
Country
United States
Zip Code
97239
Mejia Maza, Alan; Carmen-Orozco, Rogger P; Carter, Emma S et al. (2018) Axonal swellings and spheroids: a new insight into the pathology of neurocysticercosis. Brain Pathol :
Boespflug, Erin L; Schwartz, Daniel L; Lahna, David et al. (2018) MR Imaging-based Multimodal Autoidentification of Perivascular Spaces (mMAPS): Automated Morphologic Segmentation of Enlarged Perivascular Spaces at Clinical Field Strength. Radiology 286:632-642
Kaye, Jeffrey; Reynolds, Christina; Bowman, Molly et al. (2018) Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data. J Vis Exp :
Hanfelt, John J; Peng, Limin; Goldstein, Felicia C et al. (2018) Latent classes of mild cognitive impairment are associated with clinical outcomes and neuropathology: Analysis of data from the National Alzheimer's Coordinating Center. Neurobiol Dis 117:62-71
Zhou, Zilu; Wang, Weixin; Wang, Li-San et al. (2018) Integrative DNA copy number detection and genotyping from sequencing and array-based platforms. Bioinformatics 34:2349-2355
Burke, Shanna L; Hu, Tianyan; Fava, Nicole M et al. (2018) Sex differences in the development of mild cognitive impairment and probable Alzheimer's disease as predicted by hippocampal volume or white matter hyperintensities. J Women Aging :1-25
Wang, Qi; Guo, Lei; Thompson, Paul M et al. (2018) The Added Value of Diffusion-Weighted MRI-Derived Structural Connectome in Evaluating Mild Cognitive Impairment: A Multi-Cohort Validation1. J Alzheimers Dis 64:149-169
Teipel, Stefan; König, Alexandra; Hoey, Jesse et al. (2018) Use of nonintrusive sensor-based information and communication technology for real-world evidence for clinical trials in dementia. Alzheimers Dement 14:1216-1231
Wang, Tingyan; Qiu, Robin G; Yu, Ming (2018) Predictive Modeling of the Progression of Alzheimer's Disease with Recurrent Neural Networks. Sci Rep 8:9161
Agogo, George O; Ramsey, Christine M; Gnjidic, Danijela et al. (2018) Longitudinal associations between different dementia diagnoses and medication use jointly accounting for dropout. Int Psychogeriatr 30:1477-1487

Showing the most recent 10 out of 482 publications