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Life course socioeconomic position and DNA methylation age acceleration in mid-life

BACKGROUND: Ageing biomarkers can help us better understand how well-established socioeconomic position (SEP) disparities in ageing occur. A promising new set of DNAm methylation (DNAm)-based ageing biomarkers indicate through their age acceleration (AA) measures if biological ageing is slower or fa...

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Autores principales: George, Anitha, Hardy, Rebecca, Castillo Fernandez, Juan, Kelly, Yvonne, Maddock, Jane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8515099/
https://www.ncbi.nlm.nih.gov/pubmed/33906906
http://dx.doi.org/10.1136/jech-2020-215608
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author George, Anitha
Hardy, Rebecca
Castillo Fernandez, Juan
Kelly, Yvonne
Maddock, Jane
author_facet George, Anitha
Hardy, Rebecca
Castillo Fernandez, Juan
Kelly, Yvonne
Maddock, Jane
author_sort George, Anitha
collection PubMed
description BACKGROUND: Ageing biomarkers can help us better understand how well-established socioeconomic position (SEP) disparities in ageing occur. A promising new set of DNAm methylation (DNAm)-based ageing biomarkers indicate through their age acceleration (AA) measures if biological ageing is slower or faster than chronological ageing. Few studies have investigated the association between SEP and DNAm AA. METHODS: We used linear regression to examine the sex-adjusted relationships between childhood social class, adult social class, intergenerational social class change, education and adult household earnings with first (Horvath AA and Hannum AA) and second generation (PhenoAge AA and GrimAge AA) DNAm AA markers using data from the MRC National Survey of Health and Development. RESULTS: In the first-generation biomarkers, there was little evidence of any associations with Horvath AA but associations of childhood social class and income with Hannum AA were observed. Strong associations were seen between greater disadvantage in childhood and adult SEP and greater AA in the second generation biomarkers. For example, those with fathers in an unskilled occupational social class in childhood had 3.6 years greater PhenoAge AA (95% CI 1.8 to 5.4) than those with fathers from a professional social class. Individuals without qualifications had higher AA compared with those with higher education (4.1 years greater GrimAge AA (95% CI 3.1 to 5.0)). CONCLUSION: Our findings highlight the importance of exposure to social disadvantage in childhood to the biological ageing process. The second generation clocks appear to be more sensitive to the accumulation of social disadvantage across the life course.
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spelling pubmed-85150992021-10-29 Life course socioeconomic position and DNA methylation age acceleration in mid-life George, Anitha Hardy, Rebecca Castillo Fernandez, Juan Kelly, Yvonne Maddock, Jane J Epidemiol Community Health Original Research BACKGROUND: Ageing biomarkers can help us better understand how well-established socioeconomic position (SEP) disparities in ageing occur. A promising new set of DNAm methylation (DNAm)-based ageing biomarkers indicate through their age acceleration (AA) measures if biological ageing is slower or faster than chronological ageing. Few studies have investigated the association between SEP and DNAm AA. METHODS: We used linear regression to examine the sex-adjusted relationships between childhood social class, adult social class, intergenerational social class change, education and adult household earnings with first (Horvath AA and Hannum AA) and second generation (PhenoAge AA and GrimAge AA) DNAm AA markers using data from the MRC National Survey of Health and Development. RESULTS: In the first-generation biomarkers, there was little evidence of any associations with Horvath AA but associations of childhood social class and income with Hannum AA were observed. Strong associations were seen between greater disadvantage in childhood and adult SEP and greater AA in the second generation biomarkers. For example, those with fathers in an unskilled occupational social class in childhood had 3.6 years greater PhenoAge AA (95% CI 1.8 to 5.4) than those with fathers from a professional social class. Individuals without qualifications had higher AA compared with those with higher education (4.1 years greater GrimAge AA (95% CI 3.1 to 5.0)). CONCLUSION: Our findings highlight the importance of exposure to social disadvantage in childhood to the biological ageing process. The second generation clocks appear to be more sensitive to the accumulation of social disadvantage across the life course. BMJ Publishing Group 2021-11 2021-04-27 /pmc/articles/PMC8515099/ /pubmed/33906906 http://dx.doi.org/10.1136/jech-2020-215608 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Original Research
George, Anitha
Hardy, Rebecca
Castillo Fernandez, Juan
Kelly, Yvonne
Maddock, Jane
Life course socioeconomic position and DNA methylation age acceleration in mid-life
title Life course socioeconomic position and DNA methylation age acceleration in mid-life
title_full Life course socioeconomic position and DNA methylation age acceleration in mid-life
title_fullStr Life course socioeconomic position and DNA methylation age acceleration in mid-life
title_full_unstemmed Life course socioeconomic position and DNA methylation age acceleration in mid-life
title_short Life course socioeconomic position and DNA methylation age acceleration in mid-life
title_sort life course socioeconomic position and dna methylation age acceleration in mid-life
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8515099/
https://www.ncbi.nlm.nih.gov/pubmed/33906906
http://dx.doi.org/10.1136/jech-2020-215608
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