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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Detalles Bibliográficos
Autores principales: Wesolowska-Andersen, Agata, Zhuo Yu, Grace, Nylander, Vibe, Abaitua, Fernando, Thurner, Matthias, Torres, Jason M, Mahajan, Anubha, Gloyn, Anna L, McCarthy, Mark I
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2020
Materias:
Computational and Systems Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7007221/
https://www.ncbi.nlm.nih.gov/pubmed/31985400
http://dx.doi.org/10.7554/eLife.51503

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7007221/
https://www.ncbi.nlm.nih.gov/pubmed/31985400
http://dx.doi.org/10.7554/eLife.51503

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