All tissues of organisms will become old as time goes on. In recent years, epigenetic
investigations have found that there is a close correlation between DNA methylation and …

DNA methylation changes within the genome can be used to predict human age. However,
the existing biological age prediction models based on DNA methylation are predominantly …

Aging is a leading risk factor for cancer. While it is proposed that age-related accumulation
of somatic mutations drives this relationship, it is likely not the full story. We show that aging …

It is now well established that the genomic landscape of DNA methylation (DNAm) gets
altered as a function of age, a process we here call 'epigenetic drift'. The biological …

Recent studies have identified biomarkers of chronological age based on DNA methylation
levels. Since active smoking contributes to a wide spectrum of aging-related diseases in …

Methylation at CpG sites is a critical epigenetic modification in mammals. Altered DNA
methylation has been suggested to be a central mechanism in development, some disease …

Estimates of biological age based on DNA methylation patterns, often referred to as
“epigenetic age”,“DNAm age”, have been shown to be robust biomarkers of age in humans …

Abstract Machine learning models based on DNA methylation data can predict biological
age but often lack causal insights. By harnessing large-scale genetic data through …

Epigenetic marks are extensively altered in cancer but may also change in normal tissues
with age, which is the primary risk factor for most cancers. We conducted an epigenome …

The Geoscience paradigm suggests that targeting the aging process could delay or prevent
the risk of multiple major age-related diseases, such as cancer, cardiovascular disease …