Quantification of the pace of biological aging in humans through a blood test, the DunedinPoAm DNA methylation algorithm

Daniel W. Belsky(Columbia University), Avshalom Caspi(Duke University), Louise Arseneault(King's College London), Andrea Baccarelli(Columbia University), David L. Corcoran(Duke University), Xu Gao(Columbia University), Eilís Hannon(University of Exeter), Hona Lee Harrington(Duke University), Line Jee Hartmann Rasmussen(Duke University), Renate Houts(Duke University), Kim M. Huffman(Duke University), William E. Kraus(Duke University), Dayoon Kwon(Columbia University), Jonathan Mill(University of Exeter), Carl F. Pieper(Duke University), Joseph A. Prinz(Duke University), Richie Poulton(University of Otago), Joel Schwartz(Boston University), Karen Sugden(Duke University), Pantel Vokonas(Boston University), Benjamin Williams(Duke University), Terrie E. Moffitt(Duke University)
eLife
May 5, 2020
Cited by 649Open Access
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Abstract

Biological aging is the gradual, progressive decline in system integrity that occurs with advancing chronological age, causing morbidity and disability. Measurements of the pace of aging are needed as surrogate endpoints in trials of therapies designed to prevent disease by slowing biological aging. We report a blood-DNA-methylation measure that is sensitive to variation in pace of biological aging among individuals born the same year. We first modeled change-over-time in 18 biomarkers tracking organ-system integrity across 12 years of follow-up in n = 954 members of the Dunedin Study born in 1972-1973. Rates of change in each biomarker over ages 26-38 years were composited to form a measure of aging-related decline, termed Pace-of-Aging. Elastic-net regression was used to develop a DNA-methylation predictor of Pace-of-Aging, called DunedinPoAm for Dunedin(P)ace(o)f(A)ging(m)ethylation. Validation analysis in cohort studies and the CALERIE trial provide proof-of-principle for DunedinPoAm as a single-time-point measure of a person's pace of biological aging.


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