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Biological Age Predictors

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TLDR
Current state-of-the-art findings considering six potential types of biological age predictors are summarized, including epigenetic clocks, telomere length, transcriptomic predictors, proteomic Predictors, metabolomics-based predictor, and composite biomarker predictors.
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This article is published in EBioMedicine.The article was published on 2017-07-01 and is currently open access. It has received 581 citations till now.

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

TL;DR: Biomarkers of ageing based on DNA methylation data enable accurate age estimates for any tissue across the entire life course and link developmental and maintenance processes to biological ageing, giving rise to a unified theory of life course.
Journal ArticleDOI

Advances in epigenetics link genetics to the environment and disease

TL;DR: The authors review recent advances and current debates in epigenetics, including how epigenetic mechanisms interact with genetic variation, ageing, disease and the environment.
Journal ArticleDOI

Facing up to the global challenges of ageing.

TL;DR: Interventions, including changes to lifestyle and medical innovations, are needed to prevent disease and increase late-life health in humans.

Identification of seven loci affecting mean telomere length and their association with disease

Veryan Codd, +98 more
TL;DR: In this article, a genome-wide meta-analysis of 37,684 individuals with replication of selected variants in an additional 10,739 individuals was carried out to identify seven loci, including five new loci associated with mean leukocyte telomere length (LTL).
References
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Journal ArticleDOI

DNA methylation age of human tissues and cell types

TL;DR: It is proposed that DNA methylation age measures the cumulative effect of an epigenetic maintenance system, and can be used to address a host of questions in developmental biology, cancer and aging research.
Journal ArticleDOI

Genome-wide Methylation Profiles Reveal Quantitative Views of Human Aging Rates

TL;DR: A quantitative model of aging is built using measurements at more than 450,000 CpG markers from the whole blood of 656 human individuals, aged 19 to 101, to measure the rate at which an individual's methylome ages, which is impacted by gender and genetic variants.
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Human telomere biology: A contributory and interactive factor in aging, disease risks, and protection

TL;DR: These and other recent findings highlight both causal and potentiating roles for telomere attrition in human diseases, especially in diseases of human aging and in some aging-related processes.
Journal ArticleDOI

Telomeres and telomerase: the path from maize, Tetrahymena and yeast to human cancer and aging.

TL;DR: Telomeres and telomerase: the path from maize, Tetrahymena and yeast to human cancer and aging is traced.
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