Improving on polygenic scores across complex traits using select and shrink with summary statistics (S4) and LDpred2

Abstract 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...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Jonathan P. Tyrer, Pei-Chen Peng, Amber A. DeVries, Simon A. Gayther, Michelle R. Jones, Paul D. Pharoah
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2024-09-01
coleção:	BMC Genomics
Assuntos:	Polygenic scores Genome-wide association study (GWAS) Cross-ancestry Multiple phenotypes
Acesso em linha:	https://doi.org/10.1186/s12864-024-10706-3
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!