2018
DOI: 10.18632/aging.101414
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Abstract: Identifying reliable biomarkers of aging is a major goal in geroscience. While the first generation of epigenetic biomarkers of aging were developed using chronological age as a surrogate for biological age, we hypothesized that incorporation of composite clinical measures of phenotypic age that capture differences in lifespan and healthspan may identify novel CpGs and facilitate the development of a more powerful epigenetic biomarker of aging. Using an innovative two-step process, we develop a new epigenetic … Show more

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Cited by 1,022 publications
(57 citation statements)
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References 62 publications
(57 reference statements)
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“…A recently emerged epigenetic biomarker of ageing, DNAm PhenoAge, has been demonstrated to be a powerful predictor of physical functioning, health span, cancers, AD, and all‐cause mortality . Pathological characteristics of obesity including dysregulated inflammation, increased DNA damage, and loss of proteostasis are associated with DNAm PhenoAge .…”
Section: Obesity Drives Ageing At Multiple Levelsmentioning
confidence: 99%
“…A recently emerged epigenetic biomarker of ageing, DNAm PhenoAge, has been demonstrated to be a powerful predictor of physical functioning, health span, cancers, AD, and all‐cause mortality . Pathological characteristics of obesity including dysregulated inflammation, increased DNA damage, and loss of proteostasis are associated with DNAm PhenoAge .…”
Section: Obesity Drives Ageing At Multiple Levelsmentioning
confidence: 99%
“…Recently, researchers have developed an epigenetic biomarker of phenotypic ageing, the DNAm PhenoAge. This biomarker tracks biological ageing and is sensitive to phenotypic deviation from normal ageing . Similarly, the epigenetic age of the prefrontal cortex has been associated with pathology, cognitive impairment and even dementia .…”
Section: Main Risk Factors Common To Multimorbidity and Functional Immentioning
confidence: 99%
“…[ 104 ] Therefore, a specific algorithm is necessary for optimal accuracy in each tissue. The second‐generation clock “PhenoAge” demonstrates better predictive power for a variety of aging outcomes [ 109 ] and this was achieved by replacing chronological age with a surrogate measure called “phenotypic age,” estimated from a set of clinical biomarkers. The most recently presented “GrimAge” clock further elaborates the “phenotypic age” concept, combining clinical biomarkers with DNA methylation levels.…”
Section: Omics‐based Molecule‐pattern Biomarkersmentioning
confidence: 99%