Meta-analysis explores aging patterns in DNA methylation across 17 tissues, highlighting potential therapeutic targets.
Key Points
The study aims to understand how DNA methylation changes with age across different human tissues and identify consistent patterns and potential therapeutic targets.
Meta-analysis of over 15,000 human methylation profiles across 17 tissues
Network analysis to identify gene clusters and their interactions
Investigation into the role of NAD+ metabolism in aging
Identified both conserved and tissue-specific DNA methylation patterns
Revealed significant increases in methylation variability and molecular disorder
Highlighted PCDHGA1 as a key gene in cell-to-cell communication related to aging