Analysis reveals non-linear dna methylation changes associated with cancer risk and sex differences in aging.
Key Points
Non-linear dna methylation trajectories in females show strong links to cancer onset and systemic inflammation, while specific patterns diverge by sex.
This analysis highlighted how dna methylation changes are not linear, revealing crucial insights into biological aging and sex-specific differences.
Using computational models, researchers analyzed data from 498 individuals to uncover complex aging pathways associated with aging.
These findings suggest the need for a re-evaluation of biomarkers for disease risk and bring new understanding of sex differences in aging.