Deep learning models predict regulatory variants in pancreatic islets and refine type 2 diabetes association signals.

Abstract excerpt

Genome-wide association analyses have uncovered multiple genomic regions associated with T2D, but identification of the causal variants at these remains a challenge. There is growing interest in the potential of deep learning models - which predict epigenome features from DNA sequence - to support inference concerning the regulatory effects of disease-associated variants. Here, we evaluate the advantages of...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Chromatin
• Share to Deep Learning