2023
DOI: 10.31234/osf.io/d8zkj
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Ethnic/Racial Disparities in DNA Methylation Age Profiles across the Lifespan

Abstract: Ethnic/racial disparities in DNA methylation age profiles have been commonly captured in relatively small, community samples of individuals from a single age group. Whether such findings extend to large, national samples of individuals is unclear, especially in studies covering multiple developmental periods, including childhood, adolescence, and adulthood. These DNA methylation profiles linked to age can be used to derive epigenetic clocks as indices of pre-mature aging and inform possible cellular mechanisms… Show more

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Cited by 4 publications
(2 citation statements)
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“…This added influence comes as a result of gender differences in the hormonal and physical changes at puberty, in pubertal timing and psychological manifestation of puberty as well as in the behavioral outcomes of puberty (Parker & Brotchie, 2010; Westling et al., 2012). In addition, there are also ethnic/racial differences in rates of pubertal maturation (Carter et al., 2020; Del Toro et al., 2023).…”
Section: Theoretical Framework and The Current Studymentioning
confidence: 99%
“…This added influence comes as a result of gender differences in the hormonal and physical changes at puberty, in pubertal timing and psychological manifestation of puberty as well as in the behavioral outcomes of puberty (Parker & Brotchie, 2010; Westling et al., 2012). In addition, there are also ethnic/racial differences in rates of pubertal maturation (Carter et al., 2020; Del Toro et al., 2023).…”
Section: Theoretical Framework and The Current Studymentioning
confidence: 99%
“…In a study of the U.S. adult population [34], first-generation epigenetic clocks (Horvath and Hannum) show slower aging for Blacks compared to Whites, second-generation clocks (PhenoAge and GrimAge) and DunedinPACE show faster aging for Blacks, and Hispanics in general are aging more slowly. The influence of race on epigenetic age acceleration is also explored in papers [35–39], demonstrating the importance of addressing the racial/ethnic component in DNA methylation data during research. Thus, the existing works miss one or more of the following important points: (i) they consider a limited number of populations (often within the same region); (ii) they do not take into account the complexities caused by batch effects: methylation values strongly depend on the quality of the raw data and its preprocessing, very different results can be obtained in different laboratories; (iii) they use only the first-generation, most common versions of epigenetic clocks (Horvath, Hannum), without taking into account more modern epigenetic metrics.…”
Section: Introductionmentioning
confidence: 99%