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Testing Black-White Disparities in Biological Aging Among Older Adults in the United States: Analysis of DNA-Methylation and Blood-Chemistry Methods
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Abstract
Biological aging is a proposed mechanism through which social determinants drive health disparities. We conducted proof-of-concept testing of 8 DNA-methylation (DNAm) and blood-chemistry quantifications of biological aging as mediators of disparities in healthspan between Black and White participants in the 2016 wave of the Health and Retirement Study (n = 9,005). We quantified biological aging from 4 DNAm “clocks” (Horvath, Hannum, PhenoAge, and GrimAge clock), a DNAm pace-of-aging measure (DunedinPoAm), and 3 blood-chemistry measures (PhenoAge, Klemera-Doubal method biological age, and homeostatic dysregulation). We quantified Black-White disparities in healthspan from cross-sectional and longitudinal data on physical performance tests, self-reported limitations in activities of daily living, and physician-diagnosed chronic diseases, self-rated health, and survival. DNAm and blood-chemistry quantifications of biological aging were moderately correlated (Pearson’s r = 0.1–0.4). The GrimAge clock, DunedinPoAm, and all 3 blood-chemistry measures were associated with healthspan characteristics (e.g., mortality effect-size hazard ratios were 1.71–2.32 per standard deviation of biological aging) and showed evidence of more advanced/faster biological aging in Black participants than in White participants (Cohen’s d = 0.4–0.5). These measures accounted for 13%–95% of Black-White differences in healthspan-related characteristics. Findings suggest that reducing disparities in biological aging can contribute to building health equity.
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“While many composite biomarkers of aging have shown some evidence of comparable predictive accuracy across genetic ancestry populations 24 70 71, establishing diverse cohorts with non-European ancestries to validate new composite biomarkers of aging remains a priority.”
From Validation of biomarkers of aging (2024) · cites this paper as [71]
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DNA methylation age of human tissues and cell types
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DNA methylation GrimAge strongly predicts lifespan and healthspan
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Kwon, D., & Belsky, D. W. (2021) · GeroScience · doi:10.1007/s11357-021-00480-5 · Cited by 410
Self-citationValidation of biomarkers of aging
Moqri, M., Herzog, C., Poganik, J. R., Ying, K., Justice, J. N., Belsky, D. W., Higgins-Chen, A. T., Chen, B. H., Cohen, A. A., Fuellen, G., et al. (2024) · Nature Medicine · doi:10.1038/s41591-023-02784-9 · Cited by 361
Self-citationGao, X., Geng, T., Jiang, M., Huang, N., Zheng, Y., Belsky, D. W., & Huang, T. (2023) · Nature Communications · doi:10.1038/s41467-023-38013-7 · Cited by 306
Self-citationFamilial Loss of a Loved One and Biological Aging: NIMHD Social Epigenomics Program
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Metadata
- Authors
- Graf, G. H., Crowe, C. L., Kothari, M., Kwon, D., Manly, J. J., Turney, I. C., Valeri, L., & Belsky, D. W.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2021-12-01
- Volume
- 191
- Issue
- 4
- Pages
- 613-625
- ISSN
- 0002-9262
- 1476-6256
- Cited by
- 150
- References
- 10
- Language
- en
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Funders
- National Institute on Aging (R01AG061378, R01AG066887)
- Russell Sage Foundation (1810-08987)
- National Institute of Mental Health (5T32MH013043)
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