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bioRxiv
BIORXIV
bioRxiv
2692-8205
Cold Spring Harbor Laboratory

10.1101/2024.05.17.594714
preprint
2
Article
The CALERIE™ Genomic Data Resource
Ryan Calen Patrick http://orcid.org/0000-0002-0550-7949

Corcoran David L http://orcid.org/0000-0001-7460-9247

Banskota Nirad
Eckstein Indik Claire
Floratos Aristidis
Friedman Richard A
Kobor Michael S
Kraus Virginia Byers
Kraus William
MacIsaac Julie L
Orenduff Melissa C
Pieper Carl F
White James P
Ferrucci Luigi
Horvath Steve http://orcid.org/0000-0002-4110-3589

Huffman Kim M
Belsky Daniel W http://orcid.org/0000-0001-5463-2212

22 8 2024
2024.05.17.594714https://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License, which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
http://biorxiv.org/lookup/doi/10.1101/2024.05.17.594714
nihpp-2024.05.17.594714.pdf
Caloric restriction (CR) slows biological aging and prolongs healthy lifespan in model organisms. Findings from CALERIE-2™ – the first ever randomized, controlled trial of long-term CR in healthy, non-obese humans – broadly supports a similar pattern of effects in humans. To expand our understanding of the molecular pathways and biological processes underpinning CR effects in humans, we generated a series of genomic datasets from stored biospecimens collected from n=218 participants during the trial. These data constitute the first publicly-accessible genomic data resource for a randomized controlled trial of an intervention targeting the biology of aging. Datasets include whole-genome SNP genotypes, and three-timepoint-longitudinal DNA methylation, mRNA, and small RNA datasets generated from blood, skeletal muscle, and adipose tissue samples (total sample n=2327). The CALERIE Genomic Data Resource described in this article is available from the Aging Research Biobank. This multi-tissue, multi-omic, longitudinal data resource has great potential to advance translational geroscience.
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pmc
