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Series GSE36642 Query DataSets for GSE36642
Status Public on Jul 18, 2012
Title Neonatal DNA methylation profile in humans is specified by a complex interplay between intrauterine environmental/ genetic factors subject to tissue-specific influence
Organism Homo sapiens
Experiment type Methylation profiling by array
Summary Comparison between groups of monozygotic (MZ) and dizygotic (DZ) twins enables an estimation of the relative contribution of genetic, shared and non-shared environmental factors to phenotypic variability. Using DNA methylation profiling of ~20,000 CpG sites as a phenotype, we have examined discordance levels in multiple tissues in neonatal twins. MZ twins exhibit a wide range of within-pair differences at birth, but show discordance levels generally lower than DZ pairs. Within-pair methylation discordance was lowest in CpG islands in all twins and increased as a function of distance from islands. This was largely independent of distance from transcriptional start site in promoters without CpG islands. Variance component decomposition analysis of DNA methylation in MZ and DZ pairs revealed a low mean heritability across all tissues, although a wide range of heritabilities was detected for specific genomic CpG sites. The largest component of variation was attributed to the combined effects of non-shared intrauterine environment and stochastic factors. Regression analysis of methylation on birth weight revealed a general association between methylation of genes involved in metabolism and biosynthesis, providing further support for epigenetic change in the previously described link between low birth weight and increasing risk for cardiovascular, metabolic and other complex diseases. Finally, comparison of our data with that of several older twins, revealed little evidence for genome-wide epigenetic drift with increasing age. This is the first study to analyse DNA methylation on a genome scale in twins at birth, further highlighting the importance of the intrauterine environment on shaping the neonatal epigenome.
 
Overall design Data from cord blood mononuclear cells (CBMCs), human umbilical vascular endothelial cells (HUVECs) and placenta from 22 MZ and 11 DZ pairs with one replicate sample
 
Contributor(s) Gordon L, Joo EJ, Powell JE, Ollikainen M, Novakovic B, Li X, Andronikos R, Cruickshank MN, Conneely KN, Smith AK, Alisch RS, Morley R, Carlin J, Visscher PM, Craig JM, Saffery R
Citation(s) 22800725
Submission date Mar 20, 2012
Last update date Jan 02, 2015
Contact name Richard Saffery
E-mail(s) richard.saffery@mcri.edu.au
Organization name Murdoch Children's Research Institute
Department Cancer, Disease and Developmental Epigenetics
Lab Cancer, Disease and Developmental Epigenetics
Street address Flemington Rd
City Parkville
State/province Victoria
ZIP/Postal code 3052
Country Australia
 
Platforms (1)
GPL8490 Illumina HumanMethylation27 BeadChip (HumanMethylation27_270596_v.1.2)
Samples (123)
GSM897841 CBMC Twin 1001 sib1
GSM897842 CBMC Twin 1001 sib2
GSM897843 CBMC Twin 1002 sib1
Relations
BioProject PRJNA153645

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
GSE36642_RAW.tar 5.8 Mb (http)(custom) TAR
GSE36642_intensities_CBMCs.txt.gz 19.2 Mb (ftp)(http) TXT
GSE36642_intensities_HUVECs.txt.gz 15.1 Mb (ftp)(http) TXT
GSE36642_intensities_placenta.txt.gz 6.4 Mb (ftp)(http) TXT
Processed data included within Sample table

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