| Literature DB >> 31611402 |
Lisa M McEwen1, Kieran J O'Donnell2,3, Megan G McGill2, Rachel D Edgar1, Meaghan J Jones1, Julia L MacIsaac1, David Tse Shen Lin1, Katia Ramadori1, Alexander Morin1, Nicole Gladish1, Elika Garg2, Eva Unternaehrer2, Irina Pokhvisneva2, Neerja Karnani4,5, Michelle Z L Kee4, Torsten Klengel6, Nancy E Adler3,7,8, Ronald G Barr3,9, Nicole Letourneau10,11, Gerald F Giesbrecht10,12, James N Reynolds13, Darina Czamara14, Jeffrey M Armstrong15, Marilyn J Essex15, Carolina de Weerth16, Roseriet Beijers17, Marieke S Tollenaar18, Bekh Bradley19, Tanja Jovanovic19, Kerry J Ressler6, Meir Steiner20, Sonja Entringer21,22, Pathik D Wadhwa22,23,24,25, Claudia Buss21, Nicole R Bush7, Elisabeth B Binder3,14,19, W Thomas Boyce3,7,8, Michael J Meaney2,3,4,26, Steve Horvath27,28, Michael S Kobor29,3.
Abstract
The development of biological markers of aging has primarily focused on adult samples. Epigenetic clocks are a promising tool for measuring biological age that show impressive accuracy across most tissues and age ranges. In adults, deviations from the DNA methylation (DNAm) age prediction are correlated with several age-related phenotypes, such as mortality and frailty. In children, however, fewer such associations have been made, possibly because DNAm changes are more dynamic in pediatric populations as compared to adults. To address this gap, we aimed to develop a highly accurate, noninvasive, biological measure of age specific to pediatric samples using buccal epithelial cell DNAm. We gathered 1,721 genome-wide DNAm profiles from 11 different cohorts of typically developing individuals aged 0 to 20 y old. Elastic net penalized regression was used to select 94 CpG sites from a training dataset (n = 1,032), with performance assessed in a separate test dataset (n = 689). DNAm at these 94 CpG sites was highly predictive of age in the test cohort (median absolute error = 0.35 y). The Pediatric-Buccal-Epigenetic (PedBE) clock was characterized in additional cohorts, showcasing the accuracy in longitudinal data, the performance in nonbuccal tissues and adult age ranges, and the association with obstetric outcomes. The PedBE tool for measuring biological age in children might help in understanding the environmental and contextual factors that shape the DNA methylome during child development, and how it, in turn, might relate to child health and disease.Entities:
Keywords: DNA methylation; adolescence; age; development; epigenetic clock
Year: 2019 PMID: 31611402 DOI: 10.1073/pnas.1820843116
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205