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Increasing participant diversity in AD research: Plans for digital screening, blood testing, and a community‐engaged approach in the Alzheimer's Disease Neuroimaging Initiative 4
- Weiner, Michael W;
- Veitch, Dallas P;
- Miller, Melanie J;
- Aisen, Paul S;
- Albala, Bruce;
- Beckett, Laurel A;
- Green, Robert C;
- Harvey, Danielle;
- Jack, Clifford R;
- Jagust, William;
- Landau, Susan M;
- Morris, John C;
- Nosheny, Rachel;
- Okonkwo, Ozioma C;
- Perrin, Richard J;
- Petersen, Ronald C;
- Rivera‐Mindt, Monica;
- Saykin, Andrew J;
- Shaw, Leslie M;
- Toga, Arthur W;
- Tosun, Duygu;
- Trojanowski, John Q;
- Initiative, Alzheimer's Disease Neuroimaging
- et al.
Published Web Location
https://doi.org/10.1002/alz.12797Abstract
Introduction
The Alzheimer's Disease Neuroimaging Initiative (ADNI) aims to validate biomarkers for Alzheimer's disease (AD) clinical trials. To improve generalizability, ADNI4 aims to enroll 50-60% of its new participants from underrepresented populations (URPs) using new biofluid and digital technologies. ADNI4 has received funding from the National Institute on Aging beginning September 2022.Methods
ADNI4 will recruit URPs using community-engaged approaches. An online portal will screen 20,000 participants, 4000 of whom (50-60% URPs) will be tested for plasma biomarkers and APOE. From this, 500 new participants will undergo in-clinic assessment joining 500 ADNI3 rollover participants. Remaining participants (∼3500) will undergo longitudinal plasma and digital cognitive testing. ADNI4 will add MRI sequences and new PET tracers. Project 1 will optimize biomarkers in AD clinical trials.Results and discussion
ADNI4 will improve generalizability of results, use remote digital and blood screening, and continue providing longitudinal clinical, biomarker, and autopsy data to investigators.Many UC-authored scholarly publications are freely available on this site because of the UC's open access policies. Let us know how this access is important for you.
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