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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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Détails bibliographiques
Publié dans:Nat Commun
Auteurs principaux: 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.
Format: Artigo
Langue:Inglês
Publié: Nature Publishing Group UK 2020
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7280277/
https://ncbi.nlm.nih.gov/pubmed/32513961
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-020-16520-1
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