Bayesian reassessment of the epigenetic architecture of complex traits

Linking epigenetic marks to clinical outcomes improves insight into molecular processes, disease prediction, and therapeutic target identification. Here, a statistical approach is presented to infer the epigenetic architecture of complex disease, determine the variation captured by epigenetic effect...

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Detalles Bibliográficos
Autores principales: Trejo Banos, Daniel, McCartney, Daniel L., Patxot, Marion, Anchieri, Lucas, Battram, Thomas, Christiansen, Colette, Costeira, Ricardo, Walker, Rosie M., Morris, Stewart W., Campbell, Archie, Zhang, Qian, Porteous, David J., McRae, Allan F., Wray, Naomi R., Visscher, Peter M., Haley, Chris S., Evans, Kathryn L., Deary, Ian J., McIntosh, Andrew M., Hemani, Gibran, Bell, Jordana T., Marioni, Riccardo E., Robinson, Matthew R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7280277/
https://www.ncbi.nlm.nih.gov/pubmed/32513961
http://dx.doi.org/10.1038/s41467-020-16520-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7280277/
https://www.ncbi.nlm.nih.gov/pubmed/32513961
http://dx.doi.org/10.1038/s41467-020-16520-1

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