2019
DOI: 10.1038/s41380-019-0616-9
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Abstract: Individuals of the same chronological age exhibit disparate rates of biological ageing. Consequently, a number of methodologies have been proposed to determine biological age and primarily exploit variation at the level of DNA methylation (DNAm). A novel epigenetic clock, termed 'DNAm GrimAge' has outperformed its predecessors in predicting the risk of mortality as well as many age-related morbidities. However, the association between DNAm GrimAge and cognitive or neuroimaging phenotypes remains unknown. We ex… Show more

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Cited by 74 publications
(39 citation statements)
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“…Future longitudinal studies are needed to identify patterns of biological changes that go beyond their ability to predict age at the time of sampling. While the current study only used chronological age as criterion endpoint, it is important to mention that other epigenetic clocks exist that are trained to predict other potential criteria such as phenotypic markers of age (DNAm PhenoAge) ( Levine et al, 2018 ) or a composite biomarker that was derived from DNAm surrogates and smoking in pack-years (GrimAge) ( Hillary et al, 2019 ). Such clocks were developed to lead to improved predictions of risk of mortality.…”
Section: Discussionmentioning
confidence: 99%
“…Future longitudinal studies are needed to identify patterns of biological changes that go beyond their ability to predict age at the time of sampling. While the current study only used chronological age as criterion endpoint, it is important to mention that other epigenetic clocks exist that are trained to predict other potential criteria such as phenotypic markers of age (DNAm PhenoAge) ( Levine et al, 2018 ) or a composite biomarker that was derived from DNAm surrogates and smoking in pack-years (GrimAge) ( Hillary et al, 2019 ). Such clocks were developed to lead to improved predictions of risk of mortality.…”
Section: Discussionmentioning
confidence: 99%
“…Elevated plasma ADM levels are also associated with a worse prognosis in a host of cancers ( Cuttitta and Martínez, 2013 ). DNAmPhenoAge is principally viewed as a predictor of disease risk ( Arpón et al, 2019 ; Hillary et al, 2019 ; Rezwan et al, 2020 ) and was built utilizing nine clinical variables (i.e., albumin, alkaline phosphatase, creatinine, C-reactive protein, glucose, lymphocyte percent, mean cell volume, red cell distribution width, and white blood cell count) ( Levine et al, 2018 ). Essentially, one hypothesis for why changes in epiTOC2 are first observed is because one would expect changes in a “micro” process such as mitosis to be evident before more grossly observable changes in disease or mortality.…”
Section: Discussionmentioning
confidence: 99%
“…37 DNAm GrimAge acceleration is also associated with cognitive decline and neuroanatomical phenotypes. 46 However, the DNAmTL clock, which correlates with both TL and age, outperforms DNAm GrimAge in its estimation of lifespan and has the potential to provide a mechanistic link between age-related diseases and environmental exposures or cell replication. 38 The DNAmTL clock has significant value, because with age and an increasing number of cell replications, telomeres shorten, but measuring TL is challenging.…”
Section: Comparison Of Different Dnam Clocksmentioning
confidence: 99%