A Data‐driven Approach for Genetic Prediction of Alzheimer's Diseases when Polygenic RiskScores Fail to account AD's Genetic Complexity

Abstract

Background: Alzheimer's Disease (AD) is the primary cause of cognitive decline in individuals. Early diagnosis of AD is significantly difficult because of its complex pathogenesis and overlap with symptoms of aging, yet crucial for early treatment. Genetic phenotyping addresses this issue by identifying at‐risk individuals.

The paper