Back to search

Article

Long-Read epigenetic clocks identify improved brain aging predictions

2025-10-03

Abstract excerpt

Epigenetic clocks are widely used to estimate biological aging, yet most are built from array-based data from peripheral tissues of predominantly European-ancestry individuals, limiting generalizability. Here, we present aging clocks trained using GenoML, an automated machine learning platform for clinical and multiomics data, on DNA methylation from Oxford Nanopore long-read sequencing. These models leverage over...

Topics

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

Identifiers and source

Literature Corpus work
34094fc6-5df5-5814-b673-8f34b3fc271a
DOI
10.1101/2025.09.30.679553
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.
Long-Read epigenetic clocks identify improved brain aging predictionsDOI 10.1101/2025.09.30.679553
Select a neighboring publication to make it the new centre.