Back to search

Article

Polygenic prediction of phenotypes with a neural empirical Bayes approach

2025-07-22

Abstract excerpt

Polygenic risk scores (PRS) estimate the expected value of a phenotype based on individual genotypes. Although statistical approaches for calculating PRS have advanced considerably in recent years, few methods incorporate recently generated functional genomics atlases to improve SNP weight estimation. Here, we introduce PRS with a Functional Neural Network (PRSFNN) - a novel approach which uses a neural network in...

Topics

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

Identifiers and source

Literature Corpus work
261eda2b-aadd-50a6-9f84-38b6f49bead0
DOI
10.1101/2025.07.21.25331918
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 of phenotypes with a neural empirical Bayes approachDOI 10.1101/2025.07.21.25331918
Select a neighboring publication to make it the new centre.