The Data Management and Biostafistics Core (DMBC) will serve as a resource and collaborator for all projects and cores related to this program project. Specifically the DMBC will: (1) consult on the design of all projects and in the application of appropriate stafistical and methodological techniques;(2) lead and collaborate in data analysis and report preparafion for all cores and projects, especially in the analysis of associafions among longitudinal growth/decline patterns of all disease markers across the individual projects;(3) coordinate and implement participant scheduling program across all projects and cores;(4) confinue our collaborafion with the WU Center for Biomedical Informafics (CBMI) to complete the transition to our bioinformatics platforms, make data collected by ACS cores and projects available to all ACS invesfigators, and insure the quality control of all analysis data sets for publications;(5) collaborate in the design of all forms to be used;(6) develop, apply, and implement stafisfical data analysis techniques appropriate for addressing the scientific aims of the program project.

Public Health Relevance

The Data Management and Biostafistics Core (DMBC) provides design, analyses, and data management resources to support all the ACS projects and cores. The relevance of the DMBC is that ACS addresses crucial public health questions to identify the eariiest possible biomarker changes for Alzheimer's disease and dementia so that prevention and/or treatment can be started early.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
5P01AG026276-07
Application #
8381827
Study Section
Special Emphasis Panel (ZAG1-ZIJ-4)
Project Start
Project End
Budget Start
2012-09-01
Budget End
2013-08-31
Support Year
7
Fiscal Year
2012
Total Cost
$72,339
Indirect Cost
$24,747
Name
Washington University
Department
Type
DUNS #
068552207
City
Saint Louis
State
MO
Country
United States
Zip Code
63130
Cruchaga, Carlos; Del-Aguila, Jorge L; Saef, Benjamin et al. (2018) Polygenic risk score of sporadic late-onset Alzheimer's disease reveals a shared architecture with the familial and early-onset forms. Alzheimers Dement 14:205-214
Pottier, Cyril; Zhou, Xiaolai; Perkerson 3rd, Ralph B et al. (2018) Potential genetic modifiers of disease risk and age at onset in patients with frontotemporal lobar degeneration and GRN mutations: a genome-wide association study. Lancet Neurol 17:548-558
Kinnunen, Kirsi M; Cash, David M; Poole, Teresa et al. (2018) Presymptomatic atrophy in autosomal dominant Alzheimer's disease: A serial magnetic resonance imaging study. Alzheimers Dement 14:43-53
Mishra, Shruti; Blazey, Tyler M; Holtzman, David M et al. (2018) Longitudinal brain imaging in preclinical Alzheimer disease: impact of APOE ?4 genotype. Brain 141:1828-1839
Schultz, Stephanie A; Gordon, Brian A; Mishra, Shruti et al. (2018) Widespread distribution of tauopathy in preclinical Alzheimer's disease. Neurobiol Aging 72:177-185
Schindler, Suzanne E; Gray, Julia D; Gordon, Brian A et al. (2018) Cerebrospinal fluid biomarkers measured by Elecsys assays compared to amyloid imaging. Alzheimers Dement 14:1460-1469
Javaherian, Kavon; Newman, Brianne M; Weng, Hua et al. (2018) Examining the Complicated Relationship Between Depressive Symptoms and Cognitive Impairment in Preclinical Alzheimer Disease. Alzheimer Dis Assoc Disord :
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
Jansen, Willemijn J; Ossenkoppele, Rik; Tijms, Betty M et al. (2018) Association of Cerebral Amyloid-? Aggregation With Cognitive Functioning in Persons Without Dementia. JAMA Psychiatry 75:84-95
Lucey, Brendan P; Hicks, Terry J; McLeland, Jennifer S et al. (2018) Effect of sleep on overnight cerebrospinal fluid amyloid ? kinetics. Ann Neurol 83:197-204

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