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[IC‐P‐050]: TOWARD DISCOVERY OF MULTI‐OMICS BIOTYPES OF ALZHEIMER's DISEASE: A FOCUSED REVIEW AND PROPOSED ROAD MAP
Author(s) -
Badhwar AmanPreet,
McFall G. Peggy,
Sapkota Shraddha,
Chertkow Howard,
Dixon Roger A.,
Bellec Pierre
Publication year - 2017
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2017.06.2322
Subject(s) - omics , biomarker , neuroimaging , biomarker discovery , disease , metabolomics , dementia , connectomics , neurodegeneration , modalities , computational biology , medicine , bioinformatics , neuroscience , computer science , biology , proteomics , pathology , connectome , functional connectivity , genetics , social science , sociology , gene
markers. Despite diagnostic labels, Alzheimer’s disease and related dementias are inherently heterogeneous entities both in clinical presentation and underlying pathophysiology. We reviewed recent techniques to discover multi-omics biomarkers of AD. Biotypes derived from the integration of multi-omics data using semi-supervised machine learning techniques will better identify individuals on an AD spectrum trajectory. Abbreviations: Alzheimer’s Disease (AD), FrontoTemporal Dementia spectrum (FTD), Lewy Body Disease (LBD), Vascular Cognitive Impairment (VCI), Mixed etiology dementia (Mixed), Healthy Controls (HC), Subjective Cognitive Impairment (SCI). Mild Cognitive Impairment (MCI). Poster Presentations: Saturday, July 15, 2017 P42