Age is the key risk factor for diseases and disabilities of the elderly. Efforts to tackle age-
related diseases and increase healthspan have suggested targeting the ageing process …

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

Clonal hematopoiesis (CH), the clonal expansion of a blood stem cell and its progeny driven
by somatic driver mutations, affects over a third of people, yet remains poorly understood …

We previously described a DNA methylation (DNAm) based biomarker of human mortality
risk DNAm GrimAge. Here we describe version 2 of GrimAge (trained on individuals aged …

Epigenetic ageing, ie, age‐associated changes in DNA methylation patterns, is a sensitive
marker of biological ageing, a major determinant of morbidity and functional decline. We …

Genome-wide association studies (GWAS) of Alzheimer's disease are predominantly carried
out in European ancestry individuals despite the known variation in genetic architecture and …

Biological aging is accompanied by increasing morbidity, mortality, and healthcare costs;
however, its molecular mechanisms are poorly understood. Here, we use multi-omic …

Background: Adolescence is a stage of fast growth and development. Exposures during
puberty can have long-term effects on health in later life. This study aims to investigate the …

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 …

Background Cardiovascular health (CVH) was defined by the American Heart Association
as an integrative idealness of seven clinical or lifestyle factors. Based on populations of …