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

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

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 i...

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Bibliographic Details
Main Authors: Agata Wesolowska-Andersen, Grace Zhuo Yu, Vibe Nylander, Fernando Abaitua, Matthias Thurner, Jason M Torres, Anubha Mahajan, Anna L Gloyn, Mark I McCarthy
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2020-01-01
Series:eLife
Subjects:
pancreatic islets
type 2 diabetes
convolutional neural networks
deep learning
epigenomics
fine-mapping
Online Access:https://elifesciences.org/articles/51503

Internet

https://elifesciences.org/articles/51503

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