Back to search

Article

Improving on polygenic scores across complex traits using select and shrink with summary statistics

2022-09-17

Abstract excerpt

<h4>Structured Abstract</h4> <h4>Motivation</h4> 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 extends a previous method (polygenic risk score – continuous shrinkage (PRS-CS))...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
4c4cfd86-58f3-5523-86ea-2d26fbbc8ce7
DOI
10.1101/2022.09.13.22278911
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Improving on polygenic scores across complex traits using select and shrink with summary statisticsDOI 10.1101/2022.09.13.22278911
Select a neighboring publication to make it the new centre.