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

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

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ce55a89fa672408eba78329582af1e29

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

About this item

Full title

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

Publisher

Germany: John Wiley & Sons, Inc

Journal title

Journal of cachexia, sarcopenia and muscle, 2021-08, Vol.12 (4), p.1064-1078

Language

English

Formats

Publication information

Publisher

Germany: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

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/MEAT.html).
Results
We identified 6710 differentially methylated regions at a stringent false discovery rate <0.005, spanning 6367 unique genes, many of which related to skeletal muscle structure and development. We found a strong increase in DNA methylation at Polycomb target genes and bivalent chromatin domains and a concomitant decrease in DNA...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ce55a89fa672408eba78329582af1e29

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ce55a89fa672408eba78329582af1e29

Other Identifiers

ISSN

2190-5991

E-ISSN

2190-6009

DOI

10.1002/jcsm.12741

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