Search DIAN Data Resource Requests

In order to avoid the situation where two investigators study the same research question, please search our database to determine if your topic has already been studied. If you find that your topic or a related topic has already been submitted, you may wish to contact the investigator to inquire about his/her 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 # (e.g. DIAN-D1004), the full request has been submitted and is either approved, disapproved or in process.

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Investigator:Karin Meeker

Title:Plasma biomarkers in Autosomal Dominant AD

Date of Request:03/31/2021

Aim 1:Aim 1a: Determine whether plasma markers of amyloid (i.e., Ab42, Ab42/40) at baseline predict current and future CSF and PET markers of amyloid. Aim 1b: Assess longitudinal changes in plasma amyloid in relation to changes in CSF and PET amyloid.

Aim 2:Aim 2a: Determine whether plasma markers of tau (i.e., t-tau, p-tau181) at baseline predict current and future CSF and PET markers of tau. Aim 2b: Assess longitudinal changes in plasma tau in relation to changes in CSF and PET tau.

Aim 3:Aim 3a: Determine if the combination of plasma amyloid and tau markers at baseline predict current and future downstream markers (i.e., neurodegeneration [MRI], cognitive performance, and clinical status [clinical dementia rating (CDR) sum of boxes] in ADAD. Aim 3b: Assess longitudinal changes in plasma amyloid and tau in relation to changes in downstream markers of neurodegeneration and cognitive status.

Investigator:Carlos Cruchaga

Title:Using quantitative traits to identify new genes, biomarkers and drug targets for ADAD and LOAD

Date of Request:09/08/2020

Aim 1:To identify genetic variants associated with biomarker levels and quantitative traits in ADAD

Aim 2:To identify novel variants and genes associated with onset and progression by using multi-omics QTL data

Aim 3:To identify novel molecular biomarkers and drug targets by combining multi-omic QTL and Mendelian randomization analysis

Investigator:Patrick Lao

Title:Imaging White matter hyperintensities and Tau in Autosomal Dominant Alzheimer’s Disease

Date of Request:09/04/2020

Aim 1:To determine the difference in the relationship among tau and WMH, independent or dependent on amyloid, between mutation carriers and controls.

Aim 2:To characterize the timing of the relationship among tau and WMH in mutation carriers compared to controls.

Aim 3:To characterize any added benefit to incorporating spatial information from tau PET in Aims 1 and 2.

Aim 4To determine the difference in the relationship among baseline WMH and tau accumulation between mutation carriers and controls.

Investigator:Anna Dieffenbacher

Title:Specific facets of Personality traits in Autosomal Dominant Alzheimer disease

Date of Request:08/30/2020

Aim 1:1) to determine the different baseline differences between mutation carriers and non-mutation carriers in respect to the facets within each Personality Factor (OCEAN: openness to experience, conscientiousness, extraversion, agreeableness, and neuroticism). 2) to analyze longitudinal changes of facets within mutation-carriers and non-carriers.

Investigator:Ronald Hawley


Date of Request:08/07/2020

Aim 1:test the form

Aim 2:test the form 2

Aim 3:test the form 3

Aim 4test the form 4

Investigator:Suman Jayadev

Title:Investigating microRNA and immune gene regulation in fAD gene carriers

Date of Request:07/30/2020

Aim 1:To determine if AD pathogenesis involves altered gene regulation of peripheral macrophage function, we will profile miRNA/mRNA expression in monocytes isolated from ADAD gene carriers or age-matched controls. We hypothesize that dysregulated peripheral immune cells in ADAD further contribute to disease. In collaboration with the Wash U DIAN site, we have collected CD14 cells from DIAN participants. We will use computational approaches to characterize the impact of ADAD mutations on peripheral cells. We include DIAN collected variables for analyses.

Investigator:Disha Shah

Title:Functional connectivity disruptions at early stages in Alzheimer’s Disease: a comparison of brain networks in mouse models and humans.

Date of Request:07/20/2020

Aim 1:We would like to access rsfMRI data from APP and PSEN1/2 carriers versus non carriers to compare functional connectivity disruptions in human AD with functional connectivity disruptions we observe in mouse models of Alzheimer's pathology. We would like to compare whether the same brain regions are involved, to study the extent to which our findings in mice can be translated to humans.