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An Integrated Molecular Atlas of Alzheimer's Disease

Wörheide, M. A.; Krumsiek, J.; Nataf, S.; Nho, K.; Greenwood, A. K.; Wu, T.; Huynh, K.; Weinisch, P.; Römisch-Margl, W.; Lehner, N.; The AMP-Consortium, ; The Alzheimer's Disease Neuroimaging Initiative, ; The Alzheimer's Disease Metabolomics Consortium, ; Baumbach, J.; Meikle, P. J.; Saykin, A. J.; Doraiswamy, P. M.; van Duijn, C.; Suhre, K.; Kaddurah-Daouk, R.; Kastenmüller, G.; Arnold, M.

2021-09-22 neurology
10.1101/2021.09.14.21263565 medRxiv
Show abstract

Alzheimers disease (AD) is a complex neurodegenerative disorder with multifactorial etiology and widespread molecular manifestations. Investigating molecular disease associations in a broader multi-level context across omics modalities remains one central challenge in AD research, despite the increasing availability of large-scale omics data. The AD Atlas, an online multi-omics resource, provides access to harmonized, disease-relevant data from over 25 large studies on 20,363 protein-coding genes, 8,396 proteins, 1,328 metabolites and 43 AD-related phenotypes interconnected by 979,190 significant associations. Results from AD-specific omics studies from AMP-AD, NIAGADS, and other initiatives are complemented with molecular associations from population-based studies in a comprehensive network resource to provide a genome-scale molecular view on AD. In a deep learning-based evaluation of the AD Atlas content, we demonstrate the utility of the network for data-driven identification of modules strongly enriched for AD-related functional domains. We provide full access to the AD Atlas at www.adatlas.org.

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