ACFT-PhenoMol Study: Processed DNA Methylation and RNA-seq Data

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Azar Alizadeh, Graf, John, Misner, Matthew J., Burns, Andrew A., Ginty, Fiona, O'Donovan, Kevin J., Wickiser, J. Kenneth, Barringer, Nicholas, Freisinger, Gregory, Hermansen, Neil (Herm), McDonough, J. Elizabeth, Davis, Brian
+23 more Loghin, Evelina R., Surrette, Christine, Tu, Peter, Welch, Justin, Boomhower, Oliver, Ralf Lenigk, Sorrell, Rachel, Tyler C. Hammond, Peterson, Sara, Caron, Alison, Safazadeh, Leila, Chadwick, Chrystal, Stacey, Stephanie, Jobin, James, Evans, Scott C, Xue, Rui, Khinda, Gurvinder S., Williams, Eric D., Chhabra, Swapnil, Nhan C. Huynh, Joseph, Taisha, Ernest Fraenkel, Marinelli, Luca
DOI: 10.5281/zenodo.18216187
Cited by: 0
References: 1

Abstract

Processed multi-omics data from the ACFT-PhenoMol study investigating biological pathways associated with physical fitness. DNA Methylation Data: Platform: Illumina Infinium MethylationEPIC BeadChip Format: Beta values matrix (351 samples) RNA-seq Data: Platform: 3' mRNA-seq (Illumina) Format: Gene expression count matrices (raw and normalized) Identifiers: Gene Name and Ensembl ID formats Access: Restricted - contact corresponding author for access.

Fields of Study & Subjects

Epigenetics and DNA Methylation Health Environment Cognitive Aging Bioinformatics and Genomic Networks

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
11 January 2026
Document type
Dataset