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Series GSE222595 Query DataSets for GSE222595
Status Public on Apr 14, 2023
Title Integrative genomic analyses in adipocytes implicate DNA methylation in human obesity and diabetes
Organism Homo sapiens
Experiment type Methylation profiling by genome tiling array
Summary DNA methylation variations are prevalent in human obesity but evidence of a causative role in disease pathogenesis is limited. Here, we combine epigenome-wide association and integrative genomics to investigate the impact of adipocyte DNA methylation variations in human obesity. We discover extensive DNA methylation changes that are robustly associated with obesity (N=190 samples, 691 loci in subcutaneous and 173 loci in visceral adipocytes, P<1x10-7). We connect obesity-associated methylation variations to transcriptomic changes at >500 target genes, and identify putative methylation-transcription factor interactions. Through Mendelian Randomisation, we infer causal effects of methylation on obesity and obesity-induced metabolic disturbances at 59 independent loci. Targeted methylation sequencing, CRISPR-activation and gene silencing in adipocytes, further identifies regional methylation variations, underlying regulatory elements and novel cellular metabolic effects. Our results indicate DNA methylation is an important determinant of human obesity and its metabolic complications, and reveal mechanisms through which altered methylation may impact adipocyte functions.
 
Overall design We characterised genome-wide DNA methylation in two independent cohorts. Cohort one comprised 48 adipocyte samples (24 subcutaneous and 24 visceral) from people with extreme obesity and 48 adipocyte samples from healthy controls (24 subcutaneous and 24 visceral) analysed using the Illumina Infinium HumanMethylation450 BeadChip (Discovery Cohort). Cohort two comprised 48 adipocyte samples (24 subcutaneous and 24 visceral) from people with extreme obesity and 48 adipocyte samples from healthy controls (24 subcutaneous and 24 visceral) analysed using the Illumina Infinium EPIC BeadChip (Replication Cohort). Adipocytes were isolated from fresh whole subcutaneous and visceral adipose tissue samples using collagenase digestion and flotation, and stored at -80C, prior to DNA extraction and bisulfite conversion with 0.2-0.5-mcg of genomic DNA.
 
Contributor(s) McAllan L, Baranašić D, Villicaña S, Brown S, Zhang W, Lehne B, Adamo M, Jenkinson A, Elkalaawy M, Mohammadi B, Hashemi M, Fernandes N, Lambie N, Williams R, Christiansen C, Yang Y, Zudina L, Lagou V, Tan S, Castillo-Fernandez J, King J, Soong R, Elliott P, Scott J, Prokopenko I, Cebola I, Loh M, Lenhard B, Batterham RL, Bell JT, Chambers JC, Kooner JS, Scott WR
Citation(s) 37188674
Submission date Jan 10, 2023
Last update date Aug 16, 2023
Contact name William Robert Scott
E-mail(s) w.scott@imperial.ac.uk
Phone 00447729882311
Organization name Imperial College London
Department Institute of Clinical Sciences
Street address Hammersmith Hospital, Du Cane Road
City London
ZIP/Postal code W12 ONN
Country United Kingdom
 
Platforms (2)
GPL13534 Illumina HumanMethylation450 BeadChip (HumanMethylation450_15017482)
GPL21145 Infinium MethylationEPIC
Samples (192)
GSM6927446 adipocyte-control-rep1
GSM6927447 adipocyte-control-rep2
GSM6927448 adipocyte-control-rep3
Relations
BioProject PRJNA922597

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
GSE222595_RAW.tar 2.4 Gb (http)(custom) TAR (of IDAT)
GSE222595_meth_obese_subcut_effect.bedgraph.gz 7.3 Mb (ftp)(http) BEDGRAPH
GSE222595_meth_obese_subcut_pval.bedgraph.gz 7.3 Mb (ftp)(http) BEDGRAPH
GSE222595_meth_obese_visceral_effect.bedgraph.gz 5.8 Mb (ftp)(http) BEDGRAPH
GSE222595_meth_obese_visceral_pval.bedgraph.gz 7.3 Mb (ftp)(http) BEDGRAPH
GSE222595_processed_beta_comb.txt.gz 964.5 Mb (ftp)(http) TXT
GSE222595_raw_unmeth_meth_comb.txt.gz 707.9 Mb (ftp)(http) TXT
Processed data are available on Series record

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