Article
Improving on polygenic scores across complex traits using select and shrink with summary statistics (S4) and LDpred2.
BMC genomics - 18 Sept 2024
Tyrer Jonathan P, Peng Pei-Chen, DeVries Amber A, Gayther Simon A, Jones Michelle R, Pharoah Paul D
Abstract excerpt
BACKGROUND: As precision medicine advances, polygenic scores (PGS) have become increasingly important for clinical risk assessment. Many methods have been developed to create polygenic models with increased accuracy for risk prediction. Our select and shrink with summary statistics (S4) PGS method has previously been shown to accurately predict the polygenic risk of epithelial ovarian cancer. Here, we applied S4...
Topics
- Multifactorial Inheritance
- Humans
- Genome-Wide Association Study
- Phenotype
- Polymorphism, Single Nucleotide
- Models, Genetic
- Female