Maximizing insights from longitudinal epigenetic age data: simulations, applications, and practical guidance
Our results can serve as a guide for forthcoming longitudinal EA studies, aiding in methodological decisions that may determine whether an association is accurately estimated, overestimated, or potentially overlooked.
Authors
- Esther Walton (ORCID: https://orcid.org/0000-0002-0935-2200)
- Anke Hüls (ORCID: https://orcid.org/0000-0002-6005-417X)
- Andrew J. Simpkin (ORCID: https://orcid.org/0000-0002-4975-444X)
- Erin C. Dunn (ORCID: https://orcid.org/0000-0003-1413-3229)
- Matthew Suderman (ORCID: https://orcid.org/0000-0002-2715-9930)
- Andrew Smith (ORCID: https://orcid.org/0000-0001-5452-9901)
- Alexandre A. Lussier (ORCID: https://orcid.org/0000-0002-1179-0621)
- Anna Großbach
Institutions
- Broad Institute (US)
- Harvard University (US)
- Emory University (US)
- University of the West of England (GB)
- Ollscoil na Gaillimhe – University of Galway (IE)
- Purdue University West Lafayette (US)
- University of Bristol (GB)
- Massachusetts General Hospital (US)
- University of Bath (GB)
Publication Details
- Journal
- Clinical Epigenetics
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1186/s13148-024-01784-x
- Citations
- 2
- Primary Topic
- Epigenetics and DNA Methylation
- Type
- article
- Field-Weighted Citation Impact
- 0.47
Funders
- UK Research and Innovation
- Science Foundation Ireland
- Canadian Institutes of Health Research
- National Institute of Mental Health