Bayesian reassessment of the epigenetic architecture of complex traits

Bayesian reassessment of the epigenetic architecture of complex traits

Linking epigenetic marks to clinical outcomes promises insight into the underlying processes. Here, the authors introduce a statistical approach to estimate associations between a phenotype and all epigenetic probes jointly, and to estimate the proportion of variation captured by epigenetic effects.

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Auteurs principaux: Daniel Trejo Banos, Daniel L. McCartney, Marion Patxot, Lucas Anchieri, Thomas Battram, Colette Christiansen, Ricardo Costeira, Rosie M. Walker, Stewart W. Morris, Archie Campbell, Qian Zhang, David J. Porteous, Allan F. McRae, Naomi R. Wray, Peter M. Visscher, Chris S. Haley, Kathryn L. Evans, Ian J. Deary, Andrew M. McIntosh, Gibran Hemani, Jordana T. Bell, Riccardo E. Marioni, Matthew R. Robinson
Format: article
Langue:EN
Publié: Nature Portfolio 2020
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Science
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Accès en ligne:https://doaj.org/article/74bbcbe2232d46d983d1a26fad579404
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Internet

https://doaj.org/article/74bbcbe2232d46d983d1a26fad579404

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