Epistatic Features and Machine Learning Improve Alzheimer's Risk Prediction Over Polygenic Risk Scores

• Published in: medRxiv : the preprint server for health sciences
• Main Authors: Hermes, Stephen, Cady, Janet, Armentrout, Steven, O'Connor, James, Carlson, Sarah, Cruchaga, Carlos, Wingo, Thomas, Greytak, Ellen McRae
• Format: Journal Article
• Language: English
• Published: United States 15.03.2023

Polygenic risk scores (PRS) are linear combinations of genetic markers weighted by effect size that are commonly used to predict disease risk. For complex heritable diseases such as late onset Alzheimer's disease (LOAD), PRS models fail to capture much of the heritability. Additionally, PRS mod...