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EPIGENETICS MARKERS OF AGING AND EXPOSURES

Widespread changes to the epigenome occur with aging. DNA methylation is one of the most commonly studied epigenetic mechanisms, reflects lifetime exposures that impact aging, and is associated with age-related disease risk. Many longitudinal cohort studies have existing cross-sectional or longitudi...

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Autor principal: Murabito, Joanne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6846165/
http://dx.doi.org/10.1093/geroni/igz038.2695
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author Murabito, Joanne
author_facet Murabito, Joanne
author_sort Murabito, Joanne
collection PubMed
description Widespread changes to the epigenome occur with aging. DNA methylation is one of the most commonly studied epigenetic mechanisms, reflects lifetime exposures that impact aging, and is associated with age-related disease risk. Many longitudinal cohort studies have existing cross-sectional or longitudinal DNA methylation data along with genotype and expression data permitting investigation of relationships between DNA methylation markers, exposures, and disease. The data can be leveraged to conduct large epigenome-wide association studies (EWAS) of aging and age-related disease to identify DNA methylation biomarkers and lead to insights into novel biologic pathways for development of interventions to delay aging. DNA methylation age measures robustly predict chronologic age and associate with both healthspan and lifespan. During the workshop, examples from cohort studies and the CHARGE consortium will be presented.
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spelling pubmed-68461652019-11-18 EPIGENETICS MARKERS OF AGING AND EXPOSURES Murabito, Joanne Innov Aging Session 3405 (Symposium) Widespread changes to the epigenome occur with aging. DNA methylation is one of the most commonly studied epigenetic mechanisms, reflects lifetime exposures that impact aging, and is associated with age-related disease risk. Many longitudinal cohort studies have existing cross-sectional or longitudinal DNA methylation data along with genotype and expression data permitting investigation of relationships between DNA methylation markers, exposures, and disease. The data can be leveraged to conduct large epigenome-wide association studies (EWAS) of aging and age-related disease to identify DNA methylation biomarkers and lead to insights into novel biologic pathways for development of interventions to delay aging. DNA methylation age measures robustly predict chronologic age and associate with both healthspan and lifespan. During the workshop, examples from cohort studies and the CHARGE consortium will be presented. Oxford University Press 2019-11-08 /pmc/articles/PMC6846165/ http://dx.doi.org/10.1093/geroni/igz038.2695 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Session 3405 (Symposium)
Murabito, Joanne
EPIGENETICS MARKERS OF AGING AND EXPOSURES
title EPIGENETICS MARKERS OF AGING AND EXPOSURES
title_full EPIGENETICS MARKERS OF AGING AND EXPOSURES
title_fullStr EPIGENETICS MARKERS OF AGING AND EXPOSURES
title_full_unstemmed EPIGENETICS MARKERS OF AGING AND EXPOSURES
title_short EPIGENETICS MARKERS OF AGING AND EXPOSURES
title_sort epigenetics markers of aging and exposures
topic Session 3405 (Symposium)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6846165/
http://dx.doi.org/10.1093/geroni/igz038.2695
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