Blood-based DNA methylation captures variance in adult height
With the advent of larger sample sizes in epigenomics anticipated to improve the power to detect associations between DNAm and complex traits, we urge caution when making assumptions around "null traits" based solely on methylome-wide association study results and encourage the use of whole-genome methods to assess the proportion of variation in a trait that may be captured by DNAm.
Authors
- Rosie M. Walker (ORCID: https://orcid.org/0000-0002-1060-4479)
- Paul Yousefi (ORCID: https://orcid.org/0000-0003-3284-3240)
- Kathryn L. Evans (ORCID: https://orcid.org/0000-0002-7884-5877)
- Matthew Suderman (ORCID: https://orcid.org/0000-0002-2715-9930)
- Allan McRae
- Simon R. Cox
- Daniel L. McCartney
- Robert F. Hillary
- Riccardo E. Marioni
- Alesha A. Hatton
- Sarah E. Harris
Institutions
- The University of Queensland (AU)
- University of Exeter (GB)
- University Hospitals Bristol NHS Foundation Trust (GB)
- Edinburgh Cancer Research (GB)
- University of Bristol (GB)
- NIHR Bristol Biomedical Research Centre (GB)
- Medical Research Council (GB)
- University of Edinburgh (GB)
Publication Details
- Journal
- Genome biology
- Published
- 2026-01-20
- DOI
- https://doi.org/10.1186/s13059-025-03918-7
- Primary Topic
- Epigenetics and DNA Methylation
- Type
- article
- Field-Weighted Citation Impact
- 0.00