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: Ellen Greytak
Project Title: Predicting risk of Alzheimer’s Disease from genetic data.
Date: [153]
Request ID: D1717
Aim 1: Use machine learning to predict Alzheimer’s phenotypes from DNA
Aim 2: Identify high-order epistatic interactions between SNPs to improve AD phenotype predictions
Aim 3: Use AD phenotypes predicted from genetic data to predict AD risk
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Investigator: Anne Fagan
Project Title: Data request for follow-up of approved tissue request T1416
Date: [153]
Request ID: D1716
Aim 1: Analyze and compare follow-up cog and imaging data with baseline CSF Ab42 and 42/40 ratio
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Investigator: Pieter Jelle Visser
Project Title: Amyloid Biomarker Study
Date: [153]
Request ID: D1715
Aim 1: To develop an amyloid positivity screening score in subjects with normal cognition, subjective cognitive decline (SCD), mild cognitive impairment (MCI) and dementia. The screening score will be based on demographic variables, lifestyle, and comorbidity.
Aim 2: To evaluate the relation between biomarkers of amyloid positivity and other AD biomarkers in participants with normal cognition, SCD, MCI and dementia.
Aim 3: To assess the impact of amyloid positivity on the course of cognitive decline in participants with normal cognition, SCD, MCI and dementia, and investigate how this is affected by demographic, lifestyle and comorbid variables.
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Investigator: Tammie Benzinger, M.D. Ph.D.
Project Title: Development of a multi-modality deep convolutional neural network feature extraction algorithm for prediction of longitudinal biomarker evolution in Alzheimer�s disease.
Date: [153]
Request ID: D1714
Aim 1: Develop and implement an in-lab processing pipeline for using deep neural networks for analysis of cross-sectional and longitudinal MRI, PET, clinical, and psychometric data, with both single and multi-modality implementations.
Aim 2: Replicate findings from previous studies showing successful cross-sectional disease-state classification of subjects using single modality (volumetric MRI) and multi-modality data in the DIAN, Knight ADRC, ADNI reprocessed, and AIBL reprocessed (when available) cohorts.
Aim 3: Utilize the developed platform for deeper exploration of the dynamics of Alzheimer�s biomarkers between ADAD and LOAD cohorts.
Aim 4: Explore the utility of deep neural networks for examining longitudinal relationships between biomarkers and disease progression.
Investigator: Yen Ying Lim
Project Title: Proposal for Access to the Adult Children Study (ACS) Database to investigate the effect of BDNF Val66Met on memory function, hippocampal volume, Aβ and tau across the lifespan
Date: [153]
Request ID: D1713
Aim 1: Examine the effect of BDNF Val66Met on memory, hippocampal volume, and tau across the lifespan by modelling age as a time-continuous variable
Aim 2: In a subset of individuals who have undergone biomarker assessment for Aβ, examine the interactive effects of Aβ and BDNF Val66Met on memory, hippocampal volume and tau across the lifespan
Aim 3: Determine whether there is a gene-dose effect of BDNF Val66Met on memory, hippocampal volume and tau in cognitively normal older adults cross-sectionally and prospectively.
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Investigator: Ganesh Babulal
Project Title: Depression and preclinical Alzheimer’s disease as predictors of driving decline among older adults
Date: [153]
Request ID: D1712
Aim 1: To determine whether a diagnosis of depression or depressive symptoms will be associated with a faster time to receiving a marginal/fail rating on a road test.
Aim 2: To determine whether depression/depressive symptoms will modify the association between preclinical AD and performance on a road test
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Investigator: Catherine Roe
Project Title: Depression as a Risk Factor for Driving Cessation: Combined Effects with Antidepressants, Cognition, and Alzheimer’s Disease Biomarkers Over Two Decades
Date: [153]
Request ID: D1711
Aim 1: To examine whether a diagnosis of depression will be associated with a faster time to driving cessation.
Aim 2: To examine whether antidepressant use will modify the association between depression and driving cessation in persons with depression; we predict that antidepressant use will prolong driving.
Aim 3: To examine whether, when considered together with cognition, CSF biomarker levels, age, depression and antidepressant use will independently predict time to driving cessation.
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Investigator: Denise Head
Project Title: Lifetime stress and longitudinal decline
Date: [153]
Request ID: D1710
Aim 1: examine the effect of lifetime stress on longitudinal changes in brain structure, cognition and AD biomarkers
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Investigator: Matthew Harms/ Timothy Miller
Project Title: In vivo tau imaging by PET in patients with C9orf72 repeat expansions
Date: [153]
Request ID: D1709
Aim 1: Determine whether AV-1451 PET imaging can identify tau deposition in C9orf72 expansion carriers
Aim 2: Determine whether AV-1451 uptake in C9orf72 expansion carriers correlate to measures of cognitive and motor impairment
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Investigator: Jianguo Sun
Project Title: Identifification and Prediction of Longutudinal Biomarkers and Survival Events for Aging and Alzheimer’s disease
Date: [153]
Request ID: D1708
Aim 1: Develop new and novel statistical models and procedures for identifying longitudinal biomarkers that are related to aging or Alzheimer’s disease and can be used to predict the onset of the disease or its related symptoms.
Aim 2: Specific Aim 2: Aim 2: Develop new and novel statistical models and procedures for joint analysis of longitudinal biomarkers and survival events or symptoms related to aging or Alzheimer’s disease that can take into account the possible existence of informative examination scheme and/or dropout.
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