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Childhood intelligence attenuates the association between biological ageing and health outcomes in later life

The identification of biomarkers that discriminate individual ageing trajectories is a principal target of ageing research. Some of the most promising predictors of biological ageing have been developed using DNA methylation. One recent candidate, which tracks age-related phenotypes in addition to c...

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Autores principales: Stevenson, Anna J., McCartney, Daniel L., Hillary, Robert F., Redmond, Paul, Taylor, Adele M., Zhang, Qian, McRae, Allan F., Spires-Jones, Tara L., McIntosh, Andrew M., Deary, Ian J., Marioni, Riccardo E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6883059/
https://www.ncbi.nlm.nih.gov/pubmed/31780646
http://dx.doi.org/10.1038/s41398-019-0657-5
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author Stevenson, Anna J.
McCartney, Daniel L.
Hillary, Robert F.
Redmond, Paul
Taylor, Adele M.
Zhang, Qian
McRae, Allan F.
Spires-Jones, Tara L.
McIntosh, Andrew M.
Deary, Ian J.
Marioni, Riccardo E.
author_facet Stevenson, Anna J.
McCartney, Daniel L.
Hillary, Robert F.
Redmond, Paul
Taylor, Adele M.
Zhang, Qian
McRae, Allan F.
Spires-Jones, Tara L.
McIntosh, Andrew M.
Deary, Ian J.
Marioni, Riccardo E.
author_sort Stevenson, Anna J.
collection PubMed
description The identification of biomarkers that discriminate individual ageing trajectories is a principal target of ageing research. Some of the most promising predictors of biological ageing have been developed using DNA methylation. One recent candidate, which tracks age-related phenotypes in addition to chronological age, is ‘DNAm PhenoAge’. Here, we performed a phenome-wide association analysis of this biomarker in a cohort of older adults to assess its relationship with a comprehensive set of both historical, and contemporaneously-measured, phenotypes. Higher than expected DNAm PhenoAge compared with chronological age, known as epigenetic age acceleration, was found to associate with a number of blood, cognitive, physical fitness and lifestyle variables, and with mortality. Notably, DNAm PhenoAge, assessed at age 70, was associated with cognitive ability at age 11, and with educational attainment. Adjusting for age 11 cognitive ability attenuated the majority of the cross-sectional later-life associations between DNAm PhenoAge and health outcomes. These results highlight the importance of early life factors on healthy older ageing.
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spelling pubmed-68830592019-12-06 Childhood intelligence attenuates the association between biological ageing and health outcomes in later life Stevenson, Anna J. McCartney, Daniel L. Hillary, Robert F. Redmond, Paul Taylor, Adele M. Zhang, Qian McRae, Allan F. Spires-Jones, Tara L. McIntosh, Andrew M. Deary, Ian J. Marioni, Riccardo E. Transl Psychiatry Article The identification of biomarkers that discriminate individual ageing trajectories is a principal target of ageing research. Some of the most promising predictors of biological ageing have been developed using DNA methylation. One recent candidate, which tracks age-related phenotypes in addition to chronological age, is ‘DNAm PhenoAge’. Here, we performed a phenome-wide association analysis of this biomarker in a cohort of older adults to assess its relationship with a comprehensive set of both historical, and contemporaneously-measured, phenotypes. Higher than expected DNAm PhenoAge compared with chronological age, known as epigenetic age acceleration, was found to associate with a number of blood, cognitive, physical fitness and lifestyle variables, and with mortality. Notably, DNAm PhenoAge, assessed at age 70, was associated with cognitive ability at age 11, and with educational attainment. Adjusting for age 11 cognitive ability attenuated the majority of the cross-sectional later-life associations between DNAm PhenoAge and health outcomes. These results highlight the importance of early life factors on healthy older ageing. Nature Publishing Group UK 2019-11-28 /pmc/articles/PMC6883059/ /pubmed/31780646 http://dx.doi.org/10.1038/s41398-019-0657-5 Text en © The Author(s) 2019 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/.
spellingShingle Article
Stevenson, Anna J.
McCartney, Daniel L.
Hillary, Robert F.
Redmond, Paul
Taylor, Adele M.
Zhang, Qian
McRae, Allan F.
Spires-Jones, Tara L.
McIntosh, Andrew M.
Deary, Ian J.
Marioni, Riccardo E.
Childhood intelligence attenuates the association between biological ageing and health outcomes in later life
title Childhood intelligence attenuates the association between biological ageing and health outcomes in later life
title_full Childhood intelligence attenuates the association between biological ageing and health outcomes in later life
title_fullStr Childhood intelligence attenuates the association between biological ageing and health outcomes in later life
title_full_unstemmed Childhood intelligence attenuates the association between biological ageing and health outcomes in later life
title_short Childhood intelligence attenuates the association between biological ageing and health outcomes in later life
title_sort childhood intelligence attenuates the association between biological ageing and health outcomes in later life
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6883059/
https://www.ncbi.nlm.nih.gov/pubmed/31780646
http://dx.doi.org/10.1038/s41398-019-0657-5
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