Background Genome-wide DNA methylation (DNAm) profiling has allowed for the
development of molecular predictors for a multitude of traits and diseases. Such predictors …

DNA methylation data have become a valuable source of information for biomarker
development, because, unlike static genetic risk estimates, DNA methylation varies …

DNA methylation is an epigenetic modification that has consistently been shown to be linked
with a variety of human traits and diseases. Because DNA methylation is dynamic and …

DNA methylation (DNAm) has been revealed to play a role in various diseases. Here we
performed epigenome-wide screening and validation to identify mortality-related DNAm …

Background DNA methylation levels change with age. Recent studies have identified
biomarkers of chronological age based on DNA methylation levels. It is not yet known …

Background Epigenetic clocks can track both chronological age (cAge) and biological age
(bAge). The latter is typically defined by physiological biomarkers and risk of adverse health …

The epigenome consists of non–sequence-based modifications, such as DNA methylation,
that are heritable during cell division and that may affect normal phenotypes and …

Metabolic syndrome (MetS) is a cluster of cardiometabolic risk factors for all-cause mortality,
cardiovascular disease, and cancer. Identifying epigenetic alterations associated with MetS …

Background DNA methylation is associated with body mass index (BMI), but it is not clear if
methylation scores are biomarkers for extant BMI or predictive of future BMI. Here, we …

The aetiology and pathophysiology of complex diseases are driven by the interaction
between genetic and environmental factors. The variability in risk and outcomes in these …