A1 Journal article (refereed)
Does the epigenetic clock GrimAge predict mortality independent of genetic influences : an 18 year follow-up study in older female twin pairs (2021)
Föhr, T., Waller, K., Viljanen, A., Sanchez, R., Ollikainen, M., Rantanen, T., Kaprio, J., & Sillanpää, E. (2021). Does the epigenetic clock GrimAge predict mortality independent of genetic influences : an 18 year follow-up study in older female twin pairs. Clinical Epigenetics, 13, Article 128. https://doi.org/10.1186/s13148-021-01112-7
JYU authors or editors
Publication details
All authors or editors: Föhr, Tiina; Waller, Katja; Viljanen, Anne; Sanchez, Riikka; Ollikainen, Miina; Rantanen, Taina; Kaprio, Jaakko; Sillanpää, Elina
Journal or series: Clinical Epigenetics
ISSN: 1868-7075
eISSN: 1868-7083
Publication year: 2021
Publication date: 13/06/2021
Volume: 13
Article number: 128
Publisher: Biomed Central
Publication country: United Kingdom
Publication language: English
DOI: https://doi.org/10.1186/s13148-021-01112-7
Publication open access: Openly available
Publication channel open access: Open Access channel
Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/76537
Additional information: Corrections to this article: Clin Epigenet (2021) 13:128 http://dx.doi.org/10.1186/s13148-021-01118-1
Abstract
Results: The results of the individual-based analyses showed an increased mortality hazard ratio (HR) of 1.31 (CI95: 1.13–1.53) per one standard deviation (SD) increase in AAGrimAge. The results indicated no signifcant associations of AAHorvath with mortality. Pairwise mortality analyses showed an HR of 1.50 (CI95: 1.02–2.20) per 1 SD increase in AAGrimAge. However, after adjusting for smoking, the HR attenuated substantially and was statistically non-signifcant (1.29; CI95: 0.84–1.99). Similarly, in multivariable adjusted models the HR (1.42–1.49) was non-signifcant. In AAHorvath, the non-signifcant HRs were lower among monozygotic pairs in comparison to dizygotic pairs, while in AAGrimAge there were no systematic diferences by zygosity. Further, the pairwise analysis in quartiles showed that the increased within pair diference in AAGrimAge was associated with a higher all-cause mortality risk.
Conclusions: In conclusion, the fndings suggest that DNAm GrimAge is a strong predictor of mortality independent of genetic infuences. Smoking, which is known to alter DNAm levels and is built into the DNAm GrimAge algorithm, attenuated the association between epigenetic aging and mortality risk.
Keywords: ageing; epigenetics; DNA methylation; mortality; twin research
Free keywords: biological age; DNA methylation; epigenetic clock; mortality; twins
Contributing organizations
Ministry reporting: Yes
Reporting Year: 2021
JUFO rating: 1
- Sports and Exercise Medicine (Faculty of Sport and Health Sciences LTK, SPORT) LLT
- Gerontology Research Center (Faculty of Sport and Health Sciences LTK, SPORT) GEREC
- Gerontology and Public Health (Faculty of Sport and Health Sciences LTK, SPORT) TGE
- School of Wellbeing (University of Jyväskylä JYU) JYU.Well