Back to search

Article

Deep Learning for Polygenic Risk Prediction

2024-04-20

Abstract excerpt

Polygenic risk scores (PRS) are relative measures of an individual’s genetic propensity to a particular trait or disease. Most PRS methods assume that mutation effects scale linearly with the number of alleles and are constant across individuals. While these assumptions simplify computation, they increase error, particularly for less-represented racial groups. We developed and provide Delphi (deep learning for phe...

Topics

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

Identifiers and source

Literature Corpus work
c9da4cc5-dcdf-59ca-aff5-068d81f60dbb
DOI
10.1101/2024.04.19.24306079
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.
Deep Learning for Polygenic Risk PredictionDOI 10.1101/2024.04.19.24306079
Select a neighboring publication to make it the new centre.