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...

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Autors principals:	Jonathan P. Tyrer, Pei-Chen Peng, Amber A. DeVries, Simon A. Gayther, Michelle R. Jones, Paul D. Pharoah
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2024-09-01
Col·lecció:	BMC Genomics
Matèries:	Polygenic scores Genome-wide association study (GWAS) Cross-ancestry Multiple phenotypes
Accés en línia:	https://doi.org/10.1186/s12864-024-10706-3
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