Maximizing insights from longitudinal epigenetic age data: simulations, applications, and practical guidance

Maximizing insights from longitudinal epigenetic age data: simulations, applications, and practical guidance

Abstract Background Epigenetic age (EA) is an age estimate, developed using DNA methylation (DNAm) states of selected CpG sites across the genome. Although EA and chronological age are highly correlated, EA may not increase uniformly with time. Departures, known as epigenetic age acceleration (EAA),...

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Bibliographic Details
Main Authors: Anna Großbach, Matthew J. Suderman, Anke Hüls, Alexandre A. Lussier, Andrew D. A. C. Smith, Esther Walton, Erin C. Dunn, Andrew J. Simpkin
Format: Article
Language:English
Published: BMC 2024-12-01
Series:Clinical Epigenetics
Subjects:
Epigenetic age
Longitudinal studies
ALSPAC
Accelerated aging
DNA methylation
Online Access:https://doi.org/10.1186/s13148-024-01784-x
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https://doi.org/10.1186/s13148-024-01784-x

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