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A catalogue of omics biological ageing clocks reveals substantial commonality and associations with disease risk
Biological age (BA), a measure of functional capacity and prognostic of health outcomes that discriminates between individuals of the same chronological age (chronAge), has been estimated using a variety of biomarkers. Previous comparative studies have mainly used epigenetic models (clocks), we use...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8833109/ https://www.ncbi.nlm.nih.gov/pubmed/35073279 http://dx.doi.org/10.18632/aging.203847 |
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author | Macdonald-Dunlop, Erin Taba, Nele Klarić, Lucija Frkatović, Azra Walker, Rosie Hayward, Caroline Esko, Tõnu Haley, Chris Fischer, Krista Wilson, James F. Joshi, Peter K. |
author_facet | Macdonald-Dunlop, Erin Taba, Nele Klarić, Lucija Frkatović, Azra Walker, Rosie Hayward, Caroline Esko, Tõnu Haley, Chris Fischer, Krista Wilson, James F. Joshi, Peter K. |
author_sort | Macdonald-Dunlop, Erin |
collection | PubMed |
description | Biological age (BA), a measure of functional capacity and prognostic of health outcomes that discriminates between individuals of the same chronological age (chronAge), has been estimated using a variety of biomarkers. Previous comparative studies have mainly used epigenetic models (clocks), we use ~1000 participants to compare fifteen omics ageing clocks, with correlations of 0.21-0.97 with chronAge, even with substantial sub-setting of biomarkers. These clocks track common aspects of ageing with 95% of the variance in chronAge being shared among clocks. The difference between BA and chronAge - omics clock age acceleration (OCAA) - often associates with health measures. One year’s OCAA typically has the same effect on risk factors/10-year disease incidence as 0.09/0.25 years of chronAge. Epigenetic and IgG glycomics clocks appeared to track generalised ageing while others capture specific risks. We conclude BA is measurable and prognostic and that future work should prioritise health outcomes over chronAge. |
format | Online Article Text |
id | pubmed-8833109 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-88331092022-02-14 A catalogue of omics biological ageing clocks reveals substantial commonality and associations with disease risk Macdonald-Dunlop, Erin Taba, Nele Klarić, Lucija Frkatović, Azra Walker, Rosie Hayward, Caroline Esko, Tõnu Haley, Chris Fischer, Krista Wilson, James F. Joshi, Peter K. Aging (Albany NY) Research Paper Biological age (BA), a measure of functional capacity and prognostic of health outcomes that discriminates between individuals of the same chronological age (chronAge), has been estimated using a variety of biomarkers. Previous comparative studies have mainly used epigenetic models (clocks), we use ~1000 participants to compare fifteen omics ageing clocks, with correlations of 0.21-0.97 with chronAge, even with substantial sub-setting of biomarkers. These clocks track common aspects of ageing with 95% of the variance in chronAge being shared among clocks. The difference between BA and chronAge - omics clock age acceleration (OCAA) - often associates with health measures. One year’s OCAA typically has the same effect on risk factors/10-year disease incidence as 0.09/0.25 years of chronAge. Epigenetic and IgG glycomics clocks appeared to track generalised ageing while others capture specific risks. We conclude BA is measurable and prognostic and that future work should prioritise health outcomes over chronAge. Impact Journals 2022-01-24 /pmc/articles/PMC8833109/ /pubmed/35073279 http://dx.doi.org/10.18632/aging.203847 Text en Copyright: © 2022 Macdonald-Dunlop et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Macdonald-Dunlop, Erin Taba, Nele Klarić, Lucija Frkatović, Azra Walker, Rosie Hayward, Caroline Esko, Tõnu Haley, Chris Fischer, Krista Wilson, James F. Joshi, Peter K. A catalogue of omics biological ageing clocks reveals substantial commonality and associations with disease risk |
title | A catalogue of omics biological ageing clocks reveals substantial commonality and associations with disease risk |
title_full | A catalogue of omics biological ageing clocks reveals substantial commonality and associations with disease risk |
title_fullStr | A catalogue of omics biological ageing clocks reveals substantial commonality and associations with disease risk |
title_full_unstemmed | A catalogue of omics biological ageing clocks reveals substantial commonality and associations with disease risk |
title_short | A catalogue of omics biological ageing clocks reveals substantial commonality and associations with disease risk |
title_sort | catalogue of omics biological ageing clocks reveals substantial commonality and associations with disease risk |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8833109/ https://www.ncbi.nlm.nih.gov/pubmed/35073279 http://dx.doi.org/10.18632/aging.203847 |
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