The CALERIE™ Genomic Data Resource.
Calen Patrick RyanDavid L CorcoranNirad BanskotaClaire Eckstein IndikAristidis FloratosRichard A FriedmanMichael S KoborVirginia Byers KrausWilliam KrausJulie L MacIsaacMelissa C OrenduffCarl F PieperJames P WhiteLuigi FerrucciSteve HorvathKim M HuffmanDaniel W BelskyPublished in: bioRxiv : the preprint server for biology (2024)
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.
Keyphrases
- randomized controlled trial
- adipose tissue
- electronic health record
- dna methylation
- skeletal muscle
- big data
- copy number
- insulin resistance
- study protocol
- rna seq
- genome wide
- gene expression
- metabolic syndrome
- clinical trial
- data analysis
- machine learning
- bariatric surgery
- single cell
- drug delivery
- multidrug resistant
- open label
- human health
- meta analyses
- nucleic acid