Deep learning captures the effect of epistasis in multifactorial diseases

Deep learning captures the effect of epistasis in multifactorial diseases

BackgroundPolygenic 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. Howev...

Full description

Saved in:
Bibliographic Details
Main Authors: Vladislav Perelygin, Alexey Kamelin, Nikita Syzrantsev, Layal Shaheen, Anna Kim, Nikolay Plotnikov, Anna Ilinskaya, Valery Ilinsky, Alexander Rakitko, Maria Poptsova
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Medicine
Subjects:
polygenic risk score
multifactorial diseases
epistasis
obesity
type 1 diabetes
psoriasis
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2024.1479717/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2024.1479717/full

Similar Items