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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9450828/ https://www.ncbi.nlm.nih.gov/pubmed/36071044 http://dx.doi.org/10.1038/s41467-022-32893-x |
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author | Li, Xiangwei Delerue, Thomas Schöttker, Ben Holleczek, Bernd Grill, Eva Peters, Annette Waldenberger, Melanie Thorand, Barbara Brenner, Hermann |
author_facet | Li, Xiangwei Delerue, Thomas Schöttker, Ben Holleczek, Bernd Grill, Eva Peters, Annette Waldenberger, Melanie Thorand, Barbara Brenner, Hermann |
author_sort | Li, Xiangwei |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9450828 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-94508282022-09-07 Derivation and validation of an epigenetic frailty risk score in population-based cohorts of older adults Li, Xiangwei Delerue, Thomas Schöttker, Ben Holleczek, Bernd Grill, Eva Peters, Annette Waldenberger, Melanie Thorand, Barbara Brenner, Hermann Nat Commun Article 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. Nature Publishing Group UK 2022-09-07 /pmc/articles/PMC9450828/ /pubmed/36071044 http://dx.doi.org/10.1038/s41467-022-32893-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Li, Xiangwei Delerue, Thomas Schöttker, Ben Holleczek, Bernd Grill, Eva Peters, Annette Waldenberger, Melanie Thorand, Barbara Brenner, Hermann Derivation and validation of an epigenetic frailty risk score in population-based cohorts of older adults |
title | Derivation and validation of an epigenetic frailty risk score in population-based cohorts of older adults |
title_full | Derivation and validation of an epigenetic frailty risk score in population-based cohorts of older adults |
title_fullStr | Derivation and validation of an epigenetic frailty risk score in population-based cohorts of older adults |
title_full_unstemmed | Derivation and validation of an epigenetic frailty risk score in population-based cohorts of older adults |
title_short | Derivation and validation of an epigenetic frailty risk score in population-based cohorts of older adults |
title_sort | derivation and validation of an epigenetic frailty risk score in population-based cohorts of older adults |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9450828/ https://www.ncbi.nlm.nih.gov/pubmed/36071044 http://dx.doi.org/10.1038/s41467-022-32893-x |
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