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Dataset Information

Variability of multi-omics profiles in a population-based child cohort.


ABSTRACT:

Background

Multiple omics technologies are increasingly applied to detect early, subtle molecular responses to environmental stressors for future disease risk prevention. However, there is an urgent need for further evaluation of stability and variability of omics profiles in healthy individuals, especially during childhood.

Methods

We aimed to estimate intra-, inter-individual and cohort variability of multi-omics profiles (blood DNA methylation, gene expression, miRNA, proteins and serum and urine metabolites) measured 6 months apart in 156 healthy children from five European countries. We further performed a multi-omics network analysis to establish clusters of co-varying omics features and assessed the contribution of key variables (including biological traits and sample

SUBMITTER: Gallego-Pauls M 

PROVIDER: S-EPMC8296694 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature