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Methylomic survival predictors, frailty, and mortality
- Source :
- Aging (Albany NY)
- Publication Year :
- 2018
- Publisher :
- Impact Journals, LLC, 2018.
-
Abstract
- Survival predictors are of potential use for informing on biological age and targeting prevention of aging-related morbidity. We assessed associations of 2 novel methylomic survival indicators, a methylation-based mortality risk score (MRscore) and the epigenetic clock-derived age acceleration (AA), with a well-known survival predictor, frailty index (FI), and compared the 3 indicators in mortality prediction. In a large population-based cohort with 14-year follow-up, we found both MRscore and AA to be independently associated with FI, but the association was much stronger for MRscore than for AA. Although all 3 indicators were individually associated with all-cause mortality, robust associations only persisted for MRscore and FI when simultaneously including the 3 indicators in regression models, with hazard ratios (95% CI) of 1.91 (1.63-2.22), 1.37 (1.25-1.51), and 1.05 (0.90-1.22), respectively, per standard deviation increase of MRscore, FI, and AA. Prediction error curves, Harrell's C-statistics, and time-dependent AUCs all showed higher predictive accuracy for MRscore than for FI and AA. These findings were validated in independent samples. Our study demonstrates the ability of the MRscore to strongly enhance survival prediction beyond established markers of biological age, such as FI and AA, and it thus bears potential of a surrogate endpoint for clinical research and intervention.
- Subjects :
- Epigenomics
Male
0301 basic medicine
Oncology
Aging
medicine.medical_specialty
Biological age
Cohort Studies
03 medical and health sciences
0302 clinical medicine
Risk Factors
Internal medicine
Humans
Medicine
mortality risk score
Aged
Framingham Risk Score
Frailty
business.industry
Surrogate endpoint
Hazard ratio
Regression analysis
Cell Biology
Middle Aged
mortality
030104 developmental biology
Clinical research
030220 oncology & carcinogenesis
Cohort
Female
business
Survival predictors
epigenetic clock
Research Paper
Subjects
Details
- ISSN :
- 19454589
- Volume :
- 10
- Database :
- OpenAIRE
- Journal :
- Aging
- Accession number :
- edsair.doi.dedup.....757555d9f28f3e689399a613fa411f86
- Full Text :
- https://doi.org/10.18632/aging.101392