DNA methylation aging clocks: challenges and recommendations

Epigenetic clocks comprise a set of CpG sites whose DNA methylation levels measure subject age. These clocks are acknowledged as a highly accurate molecular correlate of chronological age in humans and other vertebrates. Also, extensive research is aimed at their potential to quantify biological agi...

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Vydáno v:Genome Biology Ročník 20; číslo 1; s. 249
Hlavní autoři: Bell, Christopher G., Lowe, Robert, Adams, Peter D., Baccarelli, Andrea A., Beck, Stephan, Bell, Jordana T., Christensen, Brock C., Gladyshev, Vadim N., Heijmans, Bastiaan T., Horvath, Steve, Ideker, Trey, Issa, Jean-Pierre J., Kelsey, Karl T., Marioni, Riccardo E., Reik, Wolf, Relton, Caroline L., Schalkwyk, Leonard C., Teschendorff, Andrew E., Wagner, Wolfgang, Zhang, Kang, Rakyan, Vardhman K.
Médium: Journal Article
Jazyk:angličtina
Vydáno: London BioMed Central 25.11.2019
Springer Nature B.V
BMC
Témata:
Age
Age determination
Aging
Aging - metabolism
Animal Genetics and Genomics
Animals
Bioinformatics
Biological Clocks
biomarkers
Biomedical and Life Sciences
Cell culture
CpG islands
Deoxyribonucleic acid
DNA
DNA Methylation
Epigenesis, Genetic
epigenetics
epigenome
ethics
Evolutionary Biology
Forensic science
forensic sciences
Genome, Human
Genome-Wide Association Study
Human Genetics
Humans
Life Sciences
longevity
Microbial Genetics and Genomics
Plant Genetics and Genomics
Population studies
Review
ISSN:1474-760X, 1474-7596, 1474-760X
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Popis
Shrnutí:Epigenetic clocks comprise a set of CpG sites whose DNA methylation levels measure subject age. These clocks are acknowledged as a highly accurate molecular correlate of chronological age in humans and other vertebrates. Also, extensive research is aimed at their potential to quantify biological aging rates and test longevity or rejuvenating interventions. Here, we discuss key challenges to understand clock mechanisms and biomarker utility. This requires dissecting the drivers and regulators of age-related changes in single-cell, tissue- and disease-specific models, as well as exploring other epigenomic marks, longitudinal and diverse population studies, and non-human models. We also highlight important ethical issues in forensic age determination and predicting the trajectory of biological aging in an individual.
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ISSN:1474-760X
1474-7596
1474-760X
DOI:10.1186/s13059-019-1824-y