Derivation and validation of an epigenetic frailty risk score in population-based cohorts of older adults
DNA methylation (DNAm) patterns in peripheral blood have been shown to be associated with aging related health outcomes. We perform an epigenome-wide screening to identify CpGs related to frailty, defined by a frailty index (FI), in a large population-based cohort of older adults from Germany, the E...
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| Veröffentlicht in: | Nature communications Jg. 13; H. 1; S. 5269 - 11 |
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| Hauptverfasser: | , , , , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
London
Nature Publishing Group UK
07.09.2022
Nature Publishing Group Nature Portfolio |
| Schlagworte: | |
| ISSN: | 2041-1723, 2041-1723 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | DNA methylation (DNAm) patterns in peripheral blood have been shown to be associated with aging related health outcomes. We perform an epigenome-wide screening to identify CpGs related to frailty, defined by a frailty index (FI), in a large population-based cohort of older adults from Germany, the ESTHER study. Sixty-five CpGs are identified as frailty related methylation loci. Using LASSO regression, 20 CpGs are selected to derive a DNAm based algorithm for predicting frailty, the epigenetic frailty risk score (eFRS). The eFRS exhibits strong associations with frailty at baseline and after up to five-years of follow-up independently of established frailty risk factors. These associations are confirmed in another independent population-based cohort study, the KORA-Age study, conducted in older adults. In conclusion, we identify 65 CpGs as frailty-related loci, of which 20 CpGs are used to calculate the eFRS with predictive performance for frailty over long-term follow-up.
Frailty is associated with an increased risk for negative health outcomes in older populations, and being able to predict frailty could facilitate prevention measures. By performing an epigenome-wide screen, the authors derived a DNA methylation based measure for frailty which can predict both prevalence and longer-term incidence of frailty. |
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| Bibliographie: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ISSN: | 2041-1723 2041-1723 |
| DOI: | 10.1038/s41467-022-32893-x |