Mining CSF_tau associated genes with deep learning in AD patients

Tau protein abnormalities have been attracting more and more attention in Alzheimer’s disease (AD) pathophysiology. Tau spreads in a hierarchical pattern in the AD brain, likely by trans‐synaptic propagation between neurons. Discovering genetic risk factors associated with tau pathology could be key for improving our ability to predict and treat AD. In this study, we leveraged the non‐linear analytic approach of deep learning to identify genes that are associated with cerebrospinal fluid (CSF) total tau levels.