Back to search

Article

Deep-learning-derived glaucoma-related endophenotypes enable novel genome-wide genetic and functional discovery

2026-01-22

Abstract excerpt

<title>Abstract</title> <p>The genetic architecture of primary open-angle glaucoma (POAG), a leading cause of irreversible blindness, remains largely unexplained due to the reliance of previous genome-wide association studies (GWAS) on imprecise phenotypes from electronic health records. Here, we overcome this with a disease-trained, task-transfer machine learning (ML) framework that learns glaucoma-related damag...

Topics

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

Identifiers and source

Literature Corpus work
b48fc2c6-4bd2-5765-9846-43cbec6c25d9
DOI
10.21203/rs.3.rs-8311177/v1
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-derived glaucoma-related endophenotypes enable novel genome-wide genetic and functional discoveryDOI 10.21203/rs.3.rs-8311177/v1
Select a neighboring publication to make it the new centre.