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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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Pubblicato in:Nat Commun
Autori principali: 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.
Natura: Artigo
Lingua:Inglês
Pubblicazione: Nature Publishing Group UK 2020
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Accesso online: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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