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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Nature Portfolio
2020
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oai:doaj.org-article:74bbcbe2232d46d983d1a26fad5794042021-12-02T14:58:24ZBayesian reassessment of the epigenetic architecture of complex traits10.1038/s41467-020-16520-12041-1723https://doaj.org/article/74bbcbe2232d46d983d1a26fad5794042020-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-16520-1https://doaj.org/toc/2041-1723Linking 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.Daniel Trejo BanosDaniel L. McCartneyMarion PatxotLucas AnchieriThomas BattramColette ChristiansenRicardo CosteiraRosie M. WalkerStewart W. MorrisArchie CampbellQian ZhangDavid J. PorteousAllan F. McRaeNaomi R. WrayPeter M. VisscherChris S. HaleyKathryn L. EvansIan J. DearyAndrew M. McIntoshGibran HemaniJordana T. BellRiccardo E. MarioniMatthew R. RobinsonNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-14 (2020) |
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Science Q |
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Science Q 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 Bayesian reassessment of the epigenetic architecture of complex traits |
description |
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. |
format |
article |
author |
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 |
author_facet |
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 |
author_sort |
Daniel Trejo Banos |
title |
Bayesian reassessment of the epigenetic architecture of complex traits |
title_short |
Bayesian reassessment of the epigenetic architecture of complex traits |
title_full |
Bayesian reassessment of the epigenetic architecture of complex traits |
title_fullStr |
Bayesian reassessment of the epigenetic architecture of complex traits |
title_full_unstemmed |
Bayesian reassessment of the epigenetic architecture of complex traits |
title_sort |
bayesian reassessment of the epigenetic architecture of complex traits |
publisher |
Nature Portfolio |
publishDate |
2020 |
url |
https://doaj.org/article/74bbcbe2232d46d983d1a26fad579404 |
work_keys_str_mv |
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