The search for biomarkers that quantify biological aging (particularly 'omic'-based
biomarkers) has intensified in recent years. Such biomarkers could predict aging-related …

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 …

DNA methylation (DNAm) is one of the most reliable biomarkers of aging across mammalian
tissues. While the age-dependent global loss of DNAm has been well characterized, DNAm …

The extracellular matrix (ECM), composed of interlinked proteins outside of cells, is an
important component of the human body that helps maintain tissue architecture and cellular …

The recent unprecedented progress in ageing research and drug discovery brings together
fundamental research and clinical applications to advance the goal of promoting healthy …

Health is strongly affected by aging and lifespan-modulating interventions, but the molecular
mechanisms of mortality regulation remain unclear. Here, we conducted an RNA-seq …

While previous studies identified common genetic variants associated with longevity in
centenarians, the role of the rare loss-of-function (LOF) mutation burden remains largely …

Causal inference for epigenetic ageing | Nature Reviews Genetics Skip to main content Thank
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Aging biomarkers are essential for understanding and quantifying the aging process and
develo** targeted longevity interventions. However, validation of these tools has been …

DNA methylation serves as a powerful biomarker for disease diagnosis and biological age
assessment. However, current analytical approaches often rely on linear models that cannot …