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• W2897861592 abstract "The discovery of causative mutations for Alzheimer disease (AD) has advanced knowledge (e.g., AD mouse models) about the far more common sporadic or late onset form of AD (LOAD). It is important to understand how generalizable results are between the two etiologies. Differences (prevalence, onset age, and comorbidities) and similarities (clinical, cognitive, imaging, cerebrospinal fluid, and neuropathological measures) have been noted between autosomal dominant AD (ADAD) and LOAD such that studies exclude ADAD data from LOAD analyses. DIAN (funded 2008) was modeled after ADNI (funded 2004) but focused on members of ADAD families and aimed to compare ADAD and LOAD. DIAN and ADNI Core Leaders as well as NIA and Alzheimer's Association representatives have worked to identify analytic challenges including slightly different biomarker procedures, different analytic platforms for CSF assays and imaging pipelines, and clinical and cognitive batteries with modest overlap. The greatest challenge is the large difference (∼40 years) in ages between the two cohorts. This presentation addresses the architecture, content and basic characteristics of this project. To address the variance introduced by biomarker procedure and analytic platform differences, imaging sessions and CSF samples from a subset of participants from each cohort were re-processed on common pipelines/platforms. MRI, amyloid PET, and FDG PET sessions were re-processed in the DIAN Imaging Core. CSF samples were re-processed in the ADNI Biomarker Core on an automated platform. Common clinical/cognitive variables were extracted to accompany the biomarker data. DIAN mutation carriers and ADNI participants with longitudinal amyloid imaging sessions were included. The resulting matched dataset in which imaging sessions and CSF from a subset of DIAN and ADNI participants have been re-processed on common pipelines/platforms is described in Tables 1 (demographics and clinical features) and 2 (type and frequency of available variables). Two datasets are planned for sharing with investigators: One dataset containing all DIAN and ADNI data and this dataset selected for optimal overlap in procedures/measures with re-processed biomarkers. Although challenging analytically, comparing LOAD directly to ADAD is feasible and may represent an unparalleled opportunity to examine pure AD without age effects (ADAD) for comparison with the far common age-associated disorder." @default.
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• W2897861592 date "2018-07-01" @default.
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• W2897861592 title "P1‐288: THE DOMINANTLY INHERITED ALZHEIMER NETWORK (DIAN)‐ALZHEIMER'S DISEASE NEUROIMAGING INITIATIVE (ADNI) COMPARISON STUDY: CHALLENGES AND OPPORTUNITIES" @default.
• W2897861592 doi "https://doi.org/10.1016/j.jalz.2018.06.294" @default.
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