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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Main Authors: | 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 |
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Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2020
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Subjects: | |
Online Access: | https://doaj.org/article/74bbcbe2232d46d983d1a26fad579404 |
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