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

Title: Meta-analysis of genome-wide DNA methylation and integrative omics of age in human skeletal muscle
Authors: Voisin, S; Jacques, M; Landen, S; Harvey, NR; Haupt, LM; Griffiths, LR; Gancheva, S; Ouni, M; Jähnert, M; Ashton, KJ; Coffey, VG; Thompson, JLM; Doering, TM; Gabory, A; Junien, C; Caiazzo, R; Verkindt, H; Raverdy, V; Pattou, F; Froguel, P; Craig, JM; Blocquiaux, S; Thomis, M; Sharples, AP; Schürmann, A; Roden, M; Horvath, S; Eynon, N
Publisher Information: WILEY
Publication Year: 2021
Collection: The University of Melbourne: Digital Repository
Description: 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
Document Type: article in journal/newspaper
Language: English
ISSN: 2190-5991
Relation: https://hdl.handle.net/11343/301767
Availability: https://hdl.handle.net/11343/301767
Rights: https://creativecommons.org/licenses/by/4.0 ; CC BY
Accession Number: edsbas.D0F19729
Database: BASE