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Series GSE137904 Query DataSets for GSE137904
Status Public on Sep 24, 2019
Title The PedBE clock accurately estimates DNA methylation age in pediatric buccal cells [dataset 16, GUSTO]
Organism Homo sapiens
Experiment type Methylation profiling by genome tiling array
Summary The development of current biological markers of aging has primarily focused on adult samples. The epigenetic clock is 1 promising tool for measuring biological age that shows impressive accuracy across most tissues and age ranges. In adults, deviations from the DNA methylation (DNAm) age prediction are correlated with several agerelated 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 crucial gap, we aimed to develop a highly accurate, noninvasive biological measure age specific to pediatric samples by 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) and the performance was assessed in a separate dataset (n = 689). The DNAm at 94 CpG sites was highly predictive of age in the test cohorts (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.
 
Overall design GUSTO (Growing Up in Singapore Towards Healthy Outcomes, dataset 16, n = 339), is a Singaporean cohort of pregnant women with human buccal epithelial swabs collected from children at 3, 9, and 48 months of age. The Illumina Infinium MethylationEPIC array was used to collect genome wide DNA methylation measures from each timepoint, however, we have only included the 3 and 9 month timepoints in the current study. DNA extraction was performed using the Isohelix DDK-50 kit.
 
Contributor(s) McEwen LM, O’Donnell KJ, McGill MG, Edgar RD, Jones MJ, MacIsaac JL, Lin DT, Ramadori K, Morin A, Gladish N, Garg E, Unternaehrer E, Pokhvisneva I, Karnani N, Kee MZ, Klengel T, Adler NE, Barr RG, Letourneau N, Giesbrecht GF, Reynolds JN, Czamara D, Armstrong JM, Essex MJ, de Weerth C, Beijers R, Tollenaar MS, Bradley B, Jovanovic T, Ressler KJ, Steiner M, Entringer S, Wadhwa PD, Buss C, Bush NR, Binder EB, Boyce WT, Meaney MJ, Horvath S, Kobor MS
Citation(s) 31611402
Submission date Sep 23, 2019
Last update date Dec 19, 2019
Contact name Michael S. Kobor
Organization name Centre for Molecular Medicine and Therapeutics / University of British Columbia
Department Medical Genetics
Lab Kobor
Street address 950 West 28th Avenue
City Vancouver
State/province BC
ZIP/Postal code V5Z 4H4
Country Canada
 
Platforms (1)
GPL21145 Infinium MethylationEPIC
Samples (510)
GSM4093013 201490030177_R07C01
GSM4093014 201496850089_R01C01
GSM4093015 201496860101_R03C01
This SubSeries is part of SuperSeries:
GSE137503 The PedBE clock accurately estimates DNA methylation age in pediatric buccal cells
Relations
BioProject PRJNA573753

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE137904_AverageBetas_GUSTO.csv.gz 3.4 Gb (ftp)(http) CSV
GSE137904_DetectionP_GUSTO.csv.gz 708.5 Mb (ftp)(http) CSV
GSE137904_RAW.tar 161.2 Mb (http)(custom) TAR
GSE137904_mMed_uMed_GUSTO.csv.gz 8.6 Kb (ftp)(http) CSV
Processed data are available on Series record

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