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Dominantly Inherited Alzheimer Network Observational Study (DIAN)
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Sample details

DIAN is an international, multicenter registry of individuals who are biological adult children of a parent with a known causative mutation for Alzheimer's Disease. The participants are classified as symptomatic or asymptomatic for Alzheimer's symptoms, and those who are either symptomatic or asymptomatic and not 5 years older than estimated age of symptom onset are seen in-person yearly. Those who are asymptomatic and over 5 years older than estimated age at onset participate with annual remote visits (phone calls). The target sample size of DIAN is 850 participants.

Study design
Cohort, Biobank

Number of participants at first data collection

255 (participants)

Recruitment is ongoing

Age at first data collection

≥ 18 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

At-risk offspring
Dataset details
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Countries

Argentina, Australia, Canada, Colombia, England

Year of first data collection

2009

Primary Institutions

Washington University in St. Louis (WashU)

Links

dian.wustl.edu/our-research/observational-study/

portal.dementiasplatform.uk/CohortDirectory/Item

doi.org/10.4155%2Fcli.12.93

Funders

Japan Agency for Medical Research and Development (AMED)

F. Simmons and O. Mohan Fund

German Center for Neurodegenerative Diseases (Deutsches Zentrum für Neurodegenerative Erkrankungen, DZNE)

Korea Dementia Research Center (KDRC)

Korea Health Industry Development Institute (KHIDI)

Ongoing?
Yes

Data types collected

neuroImagingData
mentalHealthData
Quantitative data collection
  • Interview – face-to-face
  • Interview – phone
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
Qualitative data collection
  • None
Neuroimaging data collection
  • Magnetic Resonance Imaging (MRI)
  • Positron Emission Tomography (PET)
Linked or secondary data
  • None
Features

Engagement

  • Community engagement
  • Keywords

    Alzheimer's disease (AD)
    Biomarkers
    Brain functioning
    Cognitive ageing and decline
    Cognitive assessments
    Genetic predisposition
    Interventions
    Memory
    Neuroimaging
    Research networks
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