UNIVERSITY OF PENNSYLVANIA ALZHEIMER?S DISEASE CORE CENTER ABSTRACT: REVISION TO CREATE A NEW GENETICS CORE (CORE H) ADCC Director and Principal Investigator: John Q. Trojanowski, MD, PhD Genetics Core Leader: Vivianna Van Deerlin, MD, PhD; Co-Leader: Gerard Schellenberg, PhD This is an application for a revision of the University of Pennsylvania (Penn) Alzheimer Disease Core Center (ADCC) to establish an independent Genetics Core (Core H). We propose to create a Genetics Core which will enhance and expand the genetics activities of the Penn ADCC. The focus of the Penn ADCC is to develop a mechanistic understanding of the still evolving complexity of Alzheimer disease (AD) and related dementias (ADRD) by studying the spectrum of disease from earliest onset through progressive stages of disease and ultimately at autopsy. Genetic factors play a critical role in the risk for AD as well as related dementias (RD) including Lewy body dementia and frontotemporal degeneration, which share common mechanisms of neurodegeneration with AD. Furthermore, many patients have more than one clinical or pathologic phenotype and 20-30% of patients with a clinical diagnosis of AD do not have AD pathology, but instead represent a RD. Therefore, the proposed Genetics Core will support the mission of the Penn ADCC by providing the necessary resources, including the leadership and genetics expertise of Vivianna Van Deerlin and Gerard Schellenberg, to conduct and support molecular genetics research of ADRD in collaboration with the existing Cores. To this end, the Specific Aims of Core H are to: 1) Serve as a repository for DNA collected from Clinical Core B participants and autopsy brains characterized in Neuropathology Core D. Collected samples will undergo quality control and ancestry measures and will be available for use by Penn investigators and external collaborators, including shipment to NCRAD; 2) Genotype risk factor variants associated with ADRD in the Clinical Core B cohort of ADRD, MCI, and control subjects to use in Penn studies as covariates, including APOE and other previously identified risk factor loci using a variety of approaches. In addition, perform genetic analysis of genes associated with hereditary neurodegenerative diseases in ADRD subjects; 3) Serve as a centralized resource for storage and handling of genetic and sample data in conjunction with the Data Management, Bioinformatics and Biostatistics Core C; 4) Contribute to patient and community education efforts of the Outreach and Recruitment Core E by providing genetic counseling services to Clinical Core B participants and to training activities of Research Education Core F as they relate to genetics and biospecimen collection education. In summary, this proposed Genetics Core H will interact with all existing cores as well as the recently submitted Biomarker Core G thereby augmenting the genetics activities and extending the aims of the Penn ADCC as a whole.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Center Core Grants (P30)
Project #
5P30AG010124-28
Application #
9564826
Study Section
Special Emphasis Panel (ZAG1)
Program Officer
Silverberg, Nina B
Project Start
Project End
Budget Start
2018-07-01
Budget End
2019-06-30
Support Year
28
Fiscal Year
2018
Total Cost
Indirect Cost
Name
University of Pennsylvania
Department
Type
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
Largent, Emily A; Karlawish, Jason; Grill, Joshua D (2018) Study partners: essential collaborators in discovering treatments for Alzheimer's disease. Alzheimers Res Ther 10:101
Brent, Robert J (2018) Estimating the monetary benefits of medicare eligibility for reducing the symptoms of dementia. Appl Econ 50:6327-6340
Weintraub, Sandra; Besser, Lilah; Dodge, Hiroko H et al. (2018) Version 3 of the Alzheimer Disease Centers' Neuropsychological Test Battery in the Uniform Data Set (UDS). Alzheimer Dis Assoc Disord 32:10-17
Gallagher, Damien; Kiss, Alex; Lanctot, Krista et al. (2018) Depression and Risk of Alzheimer Dementia: A Longitudinal Analysis to Determine Predictors of Increased Risk among Older Adults with Depression. Am J Geriatr Psychiatry 26:819-827
Bezdicek, Ondrej; ?ervenková, Markéta; Moore, Tyler M et al. (2018) Determining a Short Form Montreal Cognitive Assessment (s-MoCA) Czech Version: Validity in Mild Cognitive Impairment Parkinson's Disease and Cross-Cultural Comparison. Assessment :1073191118778896
Irwin, David J; McMillan, Corey T; Xie, Sharon X et al. (2018) Asymmetry of post-mortem neuropathology in behavioural-variant frontotemporal dementia. Brain 141:288-301
Haaksma, Miriam L; Calderón-Larrañaga, Amaia; Olde Rikkert, Marcel G M et al. (2018) Cognitive and functional progression in Alzheimer disease: A prediction model of latent classes. Int J Geriatr Psychiatry 33:1057-1064
Racine, Annie M; Brickhouse, Michael; Wolk, David A et al. (2018) The personalized Alzheimer's disease cortical thickness index predicts likely pathology and clinical progression in mild cognitive impairment. Alzheimers Dement (Amst) 10:301-310
Phillips, Jeffrey S; Da Re, Fulvio; Dratch, Laynie et al. (2018) Neocortical origin and progression of gray matter atrophy in nonamnestic Alzheimer's disease. Neurobiol Aging 63:75-87
Kovacs, Gabor G; Xie, Sharon X; Robinson, John L et al. (2018) Sequential stages and distribution patterns of aging-related tau astrogliopathy (ARTAG) in the human brain. Acta Neuropathol Commun 6:50

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