DNA methylation-based biomarkers and the epigenetic clock theory of ageing

By Steve Horvath, K. Raj. Nature reviews genetics, 2018

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How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A computational solution for bolstering reliability of epigenetic clocks: Implications for clinical trials and longitudinal tracking (2021, methodology): “The various original clocks have unique sets of associations and may capture distinct aspects of aging 3,12,17,26 .”
Oxidative stress and diabetic retinopathy: Molecular mechanisms, pathogenetic role and therapeutic implications (2020, neutral): “action to block transcriptional actions [131].”
Clonal hematopoiesis in human aging and disease (2019, neutral): “Like several other welldescribed markers in blood cells, such as red cell distributionwidth (84), DNAmethylation clocks (85), and loss of Y chromosome (86), CHIP is associated with multiple adverse outcomes in epidemiological studies.”
A toolkit for quantification of biological age from blood chemistry and organ function test data: BioAge (2021, neutral): “These biomarkers first emerged early in the last decade and since then have undergone rapid refinement, increasing their reliability and predictive power [19].”
DNA methylation aging clocks: challenges and recommendations (2019, methodology): “There is no evidence that the Horvath or Hannum et al. clock CpGs are enriched for functionality over and above the promoter-focused arrays from which they were constructed.”