Article
Deep learning captures the effect of epistasis in multifactorial diseases
7 Jan 2025
Abstract excerpt
Background: Polygenic risk score (PRS) prediction is widely used to assess the risk of diagnosis and progression of many diseases. Routinely, the weights of individual SNPs are estimated by the linear regression model that assumes independent and linear contribution of each SNP to the phenotype. However, for complex multifactorial diseases such as Alzheimer's disease, diabetes, cardiovascular disease, cancer, and...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.
