Back to search

Article

Polygenic Prediction via Bayesian Regression and Continuous Shrinkage Priors

2018-09-14

Abstract excerpt

Polygenic prediction has shown promise in identifying individuals at high risk for complex diseases, and may become clinically useful as the predictive performance of polygenic risk scores (PRS) improves. Here, we present PRS-CS, a novel polygenic prediction method that infers posterior SNP effect sizes using GWAS summary statistics and an external linkage disequilibrium (LD) reference panel. PRS-CS utilizes a hig...

Topics

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

Identifiers and source

Literature Corpus work
9bcbe5d7-c5f0-59b0-b47d-e251dcbc23e6
DOI
10.1101/416859
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.
Polygenic Prediction via Bayesian Regression and Continuous Shrinkage PriorsDOI 10.1101/416859
Select a neighboring publication to make it the new centre.