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Series GSE103657 Query DataSets for GSE103657
Status Public on Sep 09, 2017
Title DNA methylation in blood from neonatal screening cards and the association with BMI and insulin sensitivity in early childhood
Organism Homo sapiens
Experiment type Methylation profiling by genome tiling array
Summary There is increasing evidence that metabolic diseases originate in early life, and epigenetic changes have been implicated as key drivers of this early life programming. This led to the hypothesis that epigenetic marks present at birth may predict an individual’s future risk of obesity and type 2 diabetes. In this study, we assessed whether epigenetic marks in blood of newborn children were associated with BMI and insulin sensitivity later in childhood.
DNA methylation was measured in neonatal blood spot samples of 439 children using the Illumina Infinium 450k BeadChip. Associations were assessed between DNA methylation at birth and BMI z-scores, body fat mass, fasting plasma glucose, insulin and HOMA-IR at age 5 years, as well as birthweight, maternal BMI and smoking status.
No individual methylation sites at birth were associated with obesity or insulin sensitivity measures at 5 years. DNA methylation in 69 genomic regions at birth was associated with BMI z-scores at age 5 years, and in 63 regions with HOMA-IR. The methylation changes were generally small (<5%), except for a region near the non-coding RNA nc886 (VTRNA2-1) where a clear link between methylation status at birth and BMI in childhood was observed (P=0.001). Associations were also found between DNA methylation, maternal smoking, and birth weight.
We identified a number of DNA methylation regions at birth that were associated with obesity or insulin sensitivity measurements in childhood. These findings support the mounting evidence on the role of epigenetics in programming of metabolic health. Whether many of these small changes in DNA methylation are causally related to the health outcomes, and of clinical relevance, remains to be determined, but the nc886 region represents a promising obesity risk marker that warrants further investigation.
 
Overall design Illumina HumanMethylation450K BeadChip arrays were used for genome-wide methylation profiling of blood DNA samples of 438 children at birth and 148 children at age 5 years.
 
Contributor(s) van Dijk SJ, Peters TJ, Buckley M, Zhou J, Jones PA, Gibson RA, Makrides M, Muhlhausler BS, Molloy PL
Citation(s) 29064478
Submission date Sep 08, 2017
Last update date Jul 06, 2022
Contact name Timothy John Peters
E-mail(s) t.peters@garvan.org.au
Phone +61292958325
Organization name Garvan Institute of Medical Research
Department Immunology
Lab Immunogenomics
Street address 384 Victoria St
City Darlinghurst
State/province NSW
ZIP/Postal code 2010
Country Australia
 
Platforms (1)
GPL13534 Illumina HumanMethylation450 BeadChip (HumanMethylation450_15017482)
Samples (586)
GSM2777893 Genomic DNA from dried neonatal blood spot punches [200190110074_R06C02]
GSM2777894 Genomic DNA from dried neonatal blood spot punches [200190110084_R01C01]
GSM2777895 Genomic DNA from dried neonatal blood spot punches [200190110084_R02C01]
Relations
Reanalyzed by GSE207605
BioProject PRJNA403851

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

Supplementary file Size Download File type/resource
GSE103657_RAW.tar 183.1 Mb (http)(custom) TAR
GSE103657_beta_values.txt.gz 1011.9 Mb (ftp)(http) TXT
GSE103657_unmethylated_methylated_signal_intensities.txt.gz 1.2 Gb (ftp)(http) TXT
Processed data are available on Series record
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