Multi-task learning identifies shared genetic risk for late-onset epilepsy and alzheimer's disease.

ABSTRACT: Aging populations face increasing incidence of neurological disorders, including Alzheimer's disease (AD) and late-onset epilepsy (LOE), which demonstrate a bidirectional relationship where AD is a risk factor for LOE and LOE is a risk factor for AD. While the APOE gene is a known shared risk factor, comprehensive genetic studies for LOE remain limited. This study employed a multi-task learning framework using Elastic Net modeling to systematically identify shared genetic risk factors between AD and LOE. We analyzed electronic health records from UCLA Health System (N = 416,212; genetic subset N = 16,500) and validated findings in the All of Us dataset (N = 52,493). Longitudinal analyses confirmed strong bidirectional associations between AD and LOE. The multi-task learning approach identi

SUBMITTER: Fu M 

PROVIDER: S-EPMC12820071 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature