Unknown

Dataset Information

Meta-analysis of genome-wide DNA methylation and integrative omics of age in human skeletal muscle.


ABSTRACT:

Background

Knowledge of age-related DNA methylation changes in skeletal muscle is limited, yet this tissue is severely affected by ageing in humans.

Methods

We conducted a large-scale epigenome-wide association study meta-analysis of age in human skeletal muscle from 10 studies (total n = 908 muscle methylomes from men and women aged 18-89 years old). We explored the genomic context of age-related DNA methylation changes in chromatin states, CpG islands, and transcription factor binding sites and performed gene set enrichment analysis. We then integrated the DNA methylation data with known transcriptomic and proteomic age-related changes in skeletal muscle. Finally, we updated our recently developed muscle epigenetic clock (https://bioconductor.org/packages/release/bioc/html

SUBMITTER: Voisin S 

PROVIDER: S-EPMC8350206 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature