The Knight ADRC has supported many investigators at Washington University and at other institutions over the years. We wish to avoid the situation where two investigators study the same research question to avoid duplication of effort and potential conflict. To determine if your topic has already been studied with our resources, please search our database. If you find that your topic or a related topic has been submitted, you may wish to contact the investigator to inquire about their findings to determine how you might proceed. You may wish to collaborate or modify your request to avoid overlap. The results below reflect requests made since online requests have been accepted. As such, not all fields will have data as certain information, such as aims, were not collected until recently. If an entry has been assigned an ID number (e.g. T1004), the full request has been submitted and is either approved, disapproved or in process. If an entry has no ID number, then it represents a submission that has not yet been reviewed. Search terms are applied across an entire requests application including variables not displayed below. A more specific, detailed search may yield better results depending upon your needs.
Search Terms:
Investigator: Flemming Andersen
Project Title: PET/MR brain AC evaluation
Date: [153]
Request ID: D1506
Aim 1: To evaluate promising PET/MR brain attenuation methods
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Investigator: Julia Soscia
Project Title: An item-level analysis of frequently missed items on the Mini Mental State Exam (MMSE) in cognitively normal older adults and its relationship to future cognitive impairment.
Date: [153]
Request ID: D1505
Aim 1: To determine which MMSE items predict future cognitive problems
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Investigator: Yvette Sheline
Project Title: Comparison of graph characteristics in resting state fMRI in LOAD and DIAN participants
Date: [153]
Request ID: D1504
Aim 1: Determine graph characteristics (wavelet-based coherence, binary graph diagnostics, weighted and cynamic graph diagnostics in LOAD and DIAN
Aim 2: Determine similarities and differences in these graph characteristics
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Investigator: Tammie Benzinger
Project Title: NIA-AA staging in preclinical Alzheimer disease
Date: [153]
Request ID: D1503
Aim 1: classify individuals based upon NIA-AA stages using CSF biomarkers
Aim 2: classify individuals based upon NIA-AA stages using PET and MRI data
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Investigator: Meghan Mattos
Project Title: Mild Cognitive Impairment in Older, Rural dwelling Adults
Date: [153]
Request ID: D1502
Aim 1: Compare MCI symptom severity among older rural and non-rural adults
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Investigator: Marilyn Albert
Project Title: The Adult Children Studies Collaboration
Date: [153]
Request ID: D1501
Aim 1: Develop a collaboration among ACS at Washington University, WRAP at the University of Wisconsin, BIOCARD at Johns Hopkins University, BLSA at NIH Intramural, and AIBL in Australia
Aim 2: Compare data across these studies in the areas of clinical, cognitive, fluid biomarkers, MR imaging, and PET imaging data
Aim 3: Within each study area, develop analytical plans to investigate the progression from preclinical to symptomatic AD
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Investigator: Paul K. Crane, MD MPH
Project Title: EPAD-GRF – Executive Prominent Alzheimer’s Disease, Genetics & Risk Factors
Date: [153]
Request ID: D1426
Aim 1: Genome-wide SNP data. We will evaluate data at the level of SNPs (Aim 1a), genes (Aim 1b), and pathways (Aim 1c). We will employ a variety of state-of-the-art approaches, including making use of data from related participants while accounting for family structure, several statistical approaches to c
Aim 2: Risk factor and cognitive data from five prospective cohort studies. We will evaluate factors associated with risk for developing dysexecutive AD, including diabetes and hypertension, using traditional risk factor and Mendelian randomization approaches (Aim 2a). We will perform longitudinal analyses
Aim 3: Whole-exome and whole-genome sequence data. WES (6000 LOAD cases) and WGS (472 LOAD cases) data will be available from collaborating studies. We will use these data and data from cognitively normal elderly controls and results from Aim 1 to: confirm accuracy of imputed SNPs (Aim 3a); investigate ass
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Investigator: Carlos Cruchaga
Project Title: Identification of genetic variants associated with AD progression rate
Date: [153]
Request ID: D1425
Aim 1: Identification of genetic variants associated with AD progression rate
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Investigator: John C Morris
Project Title: Accelerators and Protectors of Tranistioning to Symptomatic AD
Date: [153]
Request ID: D1424
Aim 1: Examine Adult Choildren Study participants who have been rated CDR>0
Aim 2: Compare their clinical, cognitive, imaging, biofluid, and genetic features with ACS participants who remain CDR0
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Investigator: Perrin, Richard
Project Title: Novel Fluid Biomarkers Associated with PIB-PET Imaging
Date: [153]
Request ID: D1423
Aim 1: Identify fluid biomarkers associated with PIB positivity among CDR0 participants
Aim 2: Identify fluid biomarkers that predict conversion to PIB positivity among PIB negative CDR0 participants
Aim 3: Identify fluid biomarkers that predict progression to CDR>0 among PIB positive CDR0 participants
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