Article EPAD LCS v.IMI

A key achievement of the European Prevention of Alzheimer's Dementia (EPAD) project ( was the establishment of a Longitudinal Cohort Study (LCS) that has screened a total of 2,096 participants from 31 study sites in 10 European countries. A wide range of cognitive, clinical, neuroimaging, and biomarker data were collected, thus generating a comprehensive and large data set to help further our understanding of the early stages of Alzheimer’s disease. The LCS was initiated and the first participant screened in May 2016. Screening into the LCS was stopped on 29 February 2020. The final dataset presented here is called Version.IMI (V.IMI) as it represents all the data collected and processed during the period the project was funded by the Innovative Medicines Initiative (IMI) (

Following approval to access EPAD data, the user can transfer the v.IMI files to their workspace. Genomic data files however are not accessed in the same way. The EPAD Genomics Shared Drive will be linked to the user’s Workspace Virtual Machine by Aridhia in the background.

Genome-wide genotyping was performed on 1,983 participant samples assaying 713,127 SNPs across the autosomes. PLINK-formatted files of pre-QC’d data are available, as are subsets of the data filtered for quality, ancestry and relatedness. Pairwise relatedness was calculated across all participants and the relatedness table is available. Finally, three independent imputation analyses were performed using the HRC, 1000Genomes and TOPMed imputation panels, respectively. Please see the files in the Resources section for more details on the genomics data.

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Data access can be requested via AD Workbench FAIR portal here. Access requests are reviewed by the EPAD team and the dataset will be automatically delivered to your workspace Inbox upon approval. The EPAD dataset includes clinical data, images, and genomics data. To access the genomics data, please refer to the Accessing Data from Read-only Drive tech help article. Biological samples are also requestable via ADDI.

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The dataset terms of usage can be accessed here.

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