
bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 11, 2024
ABSTRACT Multi-omics investigations hold promise for uncovering biomarker profiles crucial disease diagnosis, prognosis, and monitoring interventions. However, these are susceptible to technical biological variation. Capturing variability removing essential future studies. The EATRIS-Plus consortium analyzed blood samples from 127 healthy adults across twelve omics layers, resulting in one of the most comprehensive profiling datasets. These layers were integrated with reproducible workflows. Sex significantly impacted all profiles, highlighting need sex-balanced Age was associated fewer features, but we could accurately predict participants’ age epigenetic predictors( R 2 = 0.90). And identified aging biomarkers other layers. Strikingly, features including miR-877-5p, CDP-diacylglycerol, COQ10B , SH3GLB1 MFSD14A mRNAs immunoglobulin proteins (False Discovery Rate < 0.05) difference between chronological age, not itself. dataset is FAIR made accessible via ClinData Portal Zenodo repository. This reference normal ranges abundance variation can guide enables power analyses sample size estimations multi-omics studies ideal benchmarking computational methods that integrate data.
Language: Английский