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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Published in | Genome Biology Vol. 20; no. 1; p. 249 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
BioMed Central
25.11.2019
BMC |
Subjects | |
Online Access | Get full text |
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Abstract | 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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AbstractList | 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. 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.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. Abstract 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. |
ArticleNumber | 249 |
Author | Adams, Peter D. Issa, Jean-Pierre J. Teschendorff, Andrew E. Kelsey, Karl T. Reik, Wolf Zhang, Kang Relton, Caroline L. Christensen, Brock C. Horvath, Steve Bell, Christopher G. Bell, Jordana T. Rakyan, Vardhman K. Gladyshev, Vadim N. Beck, Stephan Baccarelli, Andrea A. Lowe, Robert Heijmans, Bastiaan T. Ideker, Trey Wagner, Wolfgang Marioni, Riccardo E. Schalkwyk, Leonard C. |
Author_xml | – sequence: 1 givenname: Christopher G. orcidid: 0000-0003-4601-1242 surname: Bell fullname: Bell, Christopher G. – sequence: 2 givenname: Robert surname: Lowe fullname: Lowe, Robert – sequence: 3 givenname: Peter D. surname: Adams fullname: Adams, Peter D. – sequence: 4 givenname: Andrea A. surname: Baccarelli fullname: Baccarelli, Andrea A. – sequence: 5 givenname: Stephan surname: Beck fullname: Beck, Stephan – sequence: 6 givenname: Jordana T. surname: Bell fullname: Bell, Jordana T. – sequence: 7 givenname: Brock C. surname: Christensen fullname: Christensen, Brock C. – sequence: 8 givenname: Vadim N. surname: Gladyshev fullname: Gladyshev, Vadim N. – sequence: 9 givenname: Bastiaan T. surname: Heijmans fullname: Heijmans, Bastiaan T. – sequence: 10 givenname: Steve surname: Horvath fullname: Horvath, Steve – sequence: 11 givenname: Trey surname: Ideker fullname: Ideker, Trey – sequence: 12 givenname: Jean-Pierre J. surname: Issa fullname: Issa, Jean-Pierre J. – sequence: 13 givenname: Karl T. surname: Kelsey fullname: Kelsey, Karl T. – sequence: 14 givenname: Riccardo E. surname: Marioni fullname: Marioni, Riccardo E. – sequence: 15 givenname: Wolf surname: Reik fullname: Reik, Wolf – sequence: 16 givenname: Caroline L. surname: Relton fullname: Relton, Caroline L. – sequence: 17 givenname: Leonard C. surname: Schalkwyk fullname: Schalkwyk, Leonard C. – sequence: 18 givenname: Andrew E. surname: Teschendorff fullname: Teschendorff, Andrew E. – sequence: 19 givenname: Wolfgang surname: Wagner fullname: Wagner, Wolfgang – sequence: 20 givenname: Kang surname: Zhang fullname: Zhang, Kang – sequence: 21 givenname: Vardhman K. surname: Rakyan fullname: Rakyan, Vardhman K. |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31767039$$D View this record in MEDLINE/PubMed |
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Snippet | Epigenetic clocks comprise a set of CpG sites whose DNA methylation levels measure subject age. These clocks are acknowledged as a highly accurate molecular... Abstract Epigenetic clocks comprise a set of CpG sites whose DNA methylation levels measure subject age. These clocks are acknowledged as a highly accurate... |
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SubjectTerms | Age Age determination Aging Aging - metabolism Animals Biological Clocks biomarkers Cell culture CpG islands Deoxyribonucleic acid DNA DNA Methylation Epigenesis, Genetic epigenetics epigenome ethics Forensic science forensic sciences Genome, Human Genome-Wide Association Study Humans longevity Population studies Review |
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Title | DNA methylation aging clocks: challenges and recommendations |
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