Article
Genetic risk in Alzheimer's disease.
NPJ systems biology and applications - 14 Feb 2026
Pan Yining, Cho Hwayoung, Lou Qian, Zhang Wei, Asken Breton, Song Qianqian
Abstract excerpt
Alzheimer's disease (AD) has a strong genetic predisposition. Genome-wide association studies have identified multiple risk loci, yet many non-coding variants remain uncharacterized. Machine learning-based polygenic risk scores (PRS) enhance prediction by modeling genetic epistasis and sex-specific risks. This review summarizes AD genetic risk factors, PRS methodologies, and ML-based AD risk prediction. It also...
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