Clinical Epigenetics (Sep 2023)
Evaluation of pediatric epigenetic clocks across multiple tissues
- Fang Fang,
- Linran Zhou,
- Wei Perng,
- Carmen J. Marsit,
- Anna K. Knight,
- Andres Cardenas,
- Max T. Aung,
- Marie-France Hivert,
- Izzuddin M. Aris,
- Jaclyn M. Goodrich,
- Alicia K. Smith,
- Abigail Gaylord,
- Rebecca C. Fry,
- Emily Oken,
- George O’Connor,
- Douglas M. Ruden,
- Leonardo Trasande,
- Julie B. Herbstman,
- Carlos A. Camargo,
- Nicole R. Bush,
- Anne L. Dunlop,
- Dana M. Dabelea,
- Margaret R. Karagas,
- Carrie V. Breton,
- Carole Ober,
- Todd M. Everson,
- Grier P. Page,
- Christine Ladd-Acosta,
- on behalf of program collaborators for Environmental influences on Child Health Outcomes
Affiliations
- Fang Fang
- GenOmics and Translational Research Center, RTI International
- Linran Zhou
- GenOmics and Translational Research Center, RTI International
- Wei Perng
- Department of Epidemiology, Colorado School of Public Health, Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado, Anschutz Medical Campus
- Carmen J. Marsit
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University
- Anna K. Knight
- Department of Gynecology and Obstetrics, Emory University
- Andres Cardenas
- Department of Epidemiology and Population Health, Stanford School of Medicine
- Max T. Aung
- Division of Environmental Health, Department of Population and Populace Health Sciences, Keck School of Medicine, University of Southern California
- Marie-France Hivert
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute
- Izzuddin M. Aris
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute
- Jaclyn M. Goodrich
- Department of Environmental Health Sciences, University of Michigan
- Alicia K. Smith
- Department of Gynecology and Obstetrics, Emory University
- Abigail Gaylord
- Department of Population Health, New York University School of Medicine
- Rebecca C. Fry
- Department of Environmental Sciences and Engineering, UNC-Chapel Hill
- Emily Oken
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute
- George O’Connor
- Pulmonary Center, Department of Medicine, Boston University School of Medicine
- Douglas M. Ruden
- Department of Obstetrics and Gynecology, Institute of Environmental Health Sciences, Wayne State University
- Leonardo Trasande
- Department of Population Health, New York University School of Medicine
- Julie B. Herbstman
- Mailman School of Public Health, Columbia University
- Carlos A. Camargo
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School
- Nicole R. Bush
- Department of Psychiatry and Behavioral Sciences, Department of Pediatrics, University of California
- Anne L. Dunlop
- Department of Gynecology and Obstetrics, Emory University
- Dana M. Dabelea
- Department of Epidemiology, Colorado School of Public Health, Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado, Anschutz Medical Campus
- Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth
- Carrie V. Breton
- Division of Environmental Health, Department of Population and Populace Health Sciences, Keck School of Medicine, University of Southern California
- Carole Ober
- Department of Human Genetics, University of Chicago
- Todd M. Everson
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University
- Grier P. Page
- GenOmics and Translational Research Center, RTI International
- Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
- on behalf of program collaborators for Environmental influences on Child Health Outcomes
- DOI
- https://doi.org/10.1186/s13148-023-01552-3
- Journal volume & issue
-
Vol. 15,
no. 1
pp. 1 – 14
Abstract
Abstract Background Epigenetic clocks are promising tools for assessing biological age. We assessed the accuracy of pediatric epigenetic clocks in gestational and chronological age determination. Results Our study used data from seven tissue types on three DNA methylation profiling microarrays and found that the Knight and Bohlin clocks performed similarly for blood cells, while the Lee clock was superior for placental samples. The pediatric-buccal-epigenetic clock performed the best for pediatric buccal samples, while the Horvath clock is recommended for children's blood cell samples. The NeoAge clock stands out for its unique ability to predict post-menstrual age with high correlation with the observed age in infant buccal cell samples. Conclusions Our findings provide valuable guidance for future research and development of epigenetic clocks in pediatric samples, enabling more accurate assessments of biological age.
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