4.6 Article

DNA methylation levels at individual age-associated CpG sites can be indicative for life expectancy

期刊

AGING-US
卷 8, 期 2, 页码 394-401

出版社

IMPACT JOURNALS LLC
DOI: 10.18632/aging.100908

关键词

DNA-methylation; epigenetic; aging; age; prediction; predictor; survival; mortality; PDE4C; CLCN6

资金

  1. Centre for Cognitive Ageing and Cognitive Epidemiology (Pilot Fund award)
  2. Wellcome Trust Institutional Strategic Support Fund
  3. University of Edinburgh
  4. University of Queensland
  5. Else Kroner-Fresenius Stiftung [2010_A96, 2014_A193]
  6. German Research Foundation (DFG) [WA 1706/2-1]
  7. German Ministry of Education and Research (BMBF)
  8. German Ministry of Education and Research (OBELICS)
  9. Interdisciplinary Center for Clinical Research (IZKF) within the faculty of Medicine at the RWTH Aachen University [O1-1]
  10. University of Edinburgh Centre for Cognitive Ageing and Cognitive Epidemiology, part of the cross council Lifelong Health and Wellbeing Initiative [MR/K026992/1]
  11. United Kingdom Biotechnology and Biological Sciences Research Council (BBSRC)
  12. Medical Research Council (MRC)
  13. Age UK
  14. Medical Research Council [MR/K026992/1] Funding Source: researchfish

向作者/读者索取更多资源

DNA-methylation (DNAm) levels at age-associated CpG sites can be combined into epigenetic aging signatures to estimate donor age. It has been demonstrated that the difference between such epigenetic age-predictions and chronological age is indicative for of all-cause mortality in later life. In this study, we tested alternative epigenetic signatures and followed the hypothesis that even individual age-associated CpG sites might be indicative for life-expectancy. Using a 99-CpG aging model, a five-year higher age-prediction was associated with 11% greater mortality risk in DNAm profiles of the Lothian Birth Cohort 1921 study. However, models based on three CpGs, or even individual CpGs, generally revealed very high offsets in age-predictions if applied to independent microarray datasets. On the other hand, we demonstrate that DNAm levels at several individual age-associated CpGs seem to be associated with life expectancy - e.g., at CpGs associated with the genes PDE4C and CLCN6. Our results support the notion that small aging signatures should rather be analysed by more quantitative methods, such as site-specific pyrosequencing, as the precision of age-predictions is rather low on independent microarray datasets. Nevertheless, the results hold the perspective that simple epigenetic biomarkers, based on few or individual age-associated CpGs, could assist the estimation of biological age.

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