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

View ORCID ProfileDW Belsky, A Caspi, L Arseneault, D Corcoran, E Hannon, HL Harrington, L J Hartmann Rasmussen, R Houts, K Huffman, WE Kraus, J Mill, C Pieper, J Prinz, R Poulton, K Sugden, B Williams, TE Moffitt
doi: https://doi.org/10.1101/2020.02.05.927434
DW Belsky
1Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
2Robert N Butler Columbia Aging Center, Columbia University Mailman School of Public Health, New York, NY, USA
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  • ORCID record for DW Belsky
  • For correspondence: daniel.belsky@columbia.edu
A Caspi
3Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, King’s College London, London SE5 8AF, United Kingdom
4Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
5Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
6Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
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L Arseneault
3Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, King’s College London, London SE5 8AF, United Kingdom
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D Corcoran
6Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
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E Hannon
7Complex Disease Epigenetics Group, University of Exeter, Exeter, United Kingdom
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HL Harrington
4Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
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L J Hartmann Rasmussen
4Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
8Clinical Research Centre, Copenhagen University Hospital Amager and Hvidovre, Hvidovre, Denmark
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R Houts
4Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
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K Huffman
9Duke Molecular Physiology Institute, Duke University, Durham, NC, USA
10Duke University Center for the Study of Aging, Duke University, Durham, NC, USA
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WE Kraus
9Duke Molecular Physiology Institute, Duke University, Durham, NC, USA
10Duke University Center for the Study of Aging, Duke University, Durham, NC, USA
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J Mill
7Complex Disease Epigenetics Group, University of Exeter, Exeter, United Kingdom
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C Pieper
10Duke University Center for the Study of Aging, Duke University, Durham, NC, USA
11Department of Biostatistics, Duke University School of Medicine, Durham, NC, USA
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J Prinz
6Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
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R Poulton
12Department of Psychology and Dunedin Multidisciplinary Health and Development Research Unit, University of Otago, Otago, NZ
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K Sugden
4Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
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B Williams
4Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
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TE Moffitt
3Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, King’s College London, London SE5 8AF, United Kingdom
4Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
5Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
6Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
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Abstract

Biological aging is the gradual and progressive decline in system integrity that occurs with advancing chronological age, causing morbidity and disability. Measurements of the rate of biological aging are needed to serve as surrogate endpoints in trials of therapies designed to prevent disease by slowing biological aging to extend healthspan. We report a blood DNA-methylation measure that is sensitive to variation in the pace of biological aging among individuals born in the same year. We first modeled longitudinal change in a panel of 18 biomarkers tracking organ-system integrity across 12 years of follow-up in the Dunedin birth cohort. Rates of change across these biomarkers were composited to form a measure of aging-related decline in system integrity, termed Pace of Aging. We then used elastic-net regression to develop a DNA-methylation predictor of Pace of Aging, called mPoA for (m)ethylation (P)ace (o)f (A)ging. Validation analyses showed mPoA was associated with functional decline in the Dunedin Study, complemented information from other methylation clocks in the Understanding Society Study, was accelerated by early-life adversity in the E-risk Study, and was disrupted by caloric restriction in the CALERIE trial. Findings provide proof-of-principle for mPoA as a single-time-point measure of a person’s pace of biological aging.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted February 07, 2020.
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Quantification of the pace of biological aging in humans through a blood test: a DNA methylation algorithm
DW Belsky, A Caspi, L Arseneault, D Corcoran, E Hannon, HL Harrington, L J Hartmann Rasmussen, R Houts, K Huffman, WE Kraus, J Mill, C Pieper, J Prinz, R Poulton, K Sugden, B Williams, TE Moffitt
bioRxiv 2020.02.05.927434; doi: https://doi.org/10.1101/2020.02.05.927434
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Quantification of the pace of biological aging in humans through a blood test: a DNA methylation algorithm
DW Belsky, A Caspi, L Arseneault, D Corcoran, E Hannon, HL Harrington, L J Hartmann Rasmussen, R Houts, K Huffman, WE Kraus, J Mill, C Pieper, J Prinz, R Poulton, K Sugden, B Williams, TE Moffitt
bioRxiv 2020.02.05.927434; doi: https://doi.org/10.1101/2020.02.05.927434

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