Our Resources
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DunedinPACE (https://github.com/danbelsky/DunedinPACE) David Corcoran developer. Maintained by Calen Ryan and Karen Sugden. Package allows users to compute the DunedinPACE DNA methylation measure of the Pace of Aging using Illumina 450k or EPIC array data (Belsky et al. 2022 eLife). See our publications page for recent findings with DunedinPACE and more at MoffittCaspi Lab here.
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BioAge (https://github.com/dayoonkwon/BioAge) Dayoon Kwon developer. Package allows users to develop and evaluate measures of biological age using the methods proposed by Klemera and Doubal (KDMBA), Levine (PhenoAge), and Cohen (homeostatic dysregulation) and data from the US NHANES to apply novel and published biological age algorithms in user-supplied data (Kwon et al. 2021 Geroscience)
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DunedinPoAm38 (https://github.com/danbelsky/DunedinPoAm38) David Corcoran developer. Package allows users to compute the DunedinPoAm DNA methylation measure of the Pace of Aging using Illumina 450k or EPIC array data (Belsky et al. 2020 eLife)
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Columbia Aging Center Geroscience Computational Core Github: https://github.com/Columbia-Aging-Center-GeroScience-Core.
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DunedinPACE
Developed by David Corcoran. Package allows users to compute the DunedinPACE DNA methylation measure of the Pace of Aging using Illumina 450k or EPIC array data (Belsky et al. 2022 eLife)
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BioAge
Developed by Dayoon Kwon. Package allows users to develop and evaluate measures of biological age and data from the US NHANES to apply novel and published biological age algorithms in user-supplied data (Kwon et al. 2021 Geroscience)
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DunedinPoAm38
Developed by David Corcoran. Package allows users to compute the DunedinPoAm DNA methylation measure of the Pace of Aging using Illumina 450k or EPIC array data (Belsky et al. 2020 eLife)
Our Datasets
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Now available in the Health and Retirement Study (HRS) public file: HRSPoA, a Pace of Aging variable developed for use in population studies of older adults.
Built from longitudinal biomarker, physical exam, and functional test data collected across six waves of the HRS (2006–2016; N = 13,358). HRSPoA includes nine parameters: CRP, cystatin-C, HbA1C, diastolic BP, waist circumference, peak flow, tandem balance, grip strength, and gait speed.
Developed by Balachandran et al. (2025), based on the original Belsky et al. (2015) method. Publicly available for researcher use.