Nature Communications (Jun 2020)
Bayesian reassessment of the epigenetic architecture of complex traits
- 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
Affiliations
- Daniel Trejo Banos
- Department of Computational Biology, University of Lausanne
- Daniel L. McCartney
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh
- Marion Patxot
- Department of Computational Biology, University of Lausanne
- Lucas Anchieri
- Department of Computational Biology, University of Lausanne
- Thomas Battram
- MRC Integrative Epidemiology Unit, University of Bristol
- Colette Christiansen
- Department of Twin Research and Genetic Epidemiology, King’s College London
- Ricardo Costeira
- Department of Twin Research and Genetic Epidemiology, King’s College London
- Rosie M. Walker
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh
- Stewart W. Morris
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh
- Archie Campbell
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh
- Qian Zhang
- Institute for Molecular Bioscience, University of Queensland
- David J. Porteous
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh
- Allan F. McRae
- Institute for Molecular Bioscience, University of Queensland
- Naomi R. Wray
- Institute for Molecular Bioscience, University of Queensland
- Peter M. Visscher
- Institute for Molecular Bioscience, University of Queensland
- Chris S. Haley
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh
- Kathryn L. Evans
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh
- Ian J. Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh
- Andrew M. McIntosh
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh
- Gibran Hemani
- MRC Integrative Epidemiology Unit, University of Bristol
- Jordana T. Bell
- Department of Twin Research and Genetic Epidemiology, King’s College London
- Riccardo E. Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh
- Matthew R. Robinson
- Institute of Science and Technology Austria
- DOI
- https://doi.org/10.1038/s41467-020-16520-1
- Journal volume & issue
-
Vol. 11,
no. 1
pp. 1 – 14
Abstract
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.
