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Series GSE113725 Query DataSets for GSE113725
Status Public on Jun 01, 2018
Title DNA methylation and inflammation marker profiles associated with a history of depression.
Organism Homo sapiens
Experiment type Methylation profiling by genome tiling array
Summary Depression is a common and disabling disorder, representing a major social and economic health issue. Moreover, depression is associated with the progression of diseases with an inflammatory etiology including many inflammatory-related disorders. At the molecular level, the mechanisms by which depression might promote the onset of these diseases and associated immune-dysfunction are not well understood. In this study we assessed genome-wide patterns of DNA methylation in whole blood-derived DNA obtained from individuals with a self-reported history of depression (n=100) and individuals without a history of depression (n=100) using the Illumina 450K microarray. Our analysis identified 6 significant (Sidak corrected P < 0.05) depression-associated differentially methylated regions (DMRs); the top-ranked DMR was located in exon 1 of the LTB4R2 gene (Sidak corrected P = 1.27 x 10-14). Polygenic risk scores (PRS) for depression were generated and known biological markers of inflammation, telomere length (TL) and IL-6, were measured in DNA and serum samples respectively. Next, we employed a systems-level approach to identify networks of co-methylated loci associated with a history of depression, in addition to depression PRS, TL and IL-6 levels. Our analysis identified one depression-associated co-methylation module (P = 0.04). Interestingly, the depression-associated module was highly enriched for pathways related to immune function and was also associated with TL and IL-6 cytokine levels. In summary, our genome-wide DNA methylation analysis of individuals with and without a self-reported history of depression identified several candidate DMRs of potential relevance to the pathogenesis of depression and its associated immune-dysfunction phenotype.
Overall design DNA from whole blood from 194 individuals
Contributor(s) Crawford B, Craig Z, Mansell G, White I, Smith A, Spaull S, Imm J, Hannon E, Wood A, Yaghootkar H, Ji Y, Mullins N, Lewis CM, Mill J, Murphy TM
Citation(s) 29790996, 37127563
Submission date Apr 26, 2018
Last update date Aug 02, 2023
Contact name Therese M Murphy
Organization name University of Exeter
Department University of Exeter Medical School
Street address RILD building
City Exeter
ZIP/Postal code EX2 5DW
Country United Kingdom
Platforms (1)
GPL13534 Illumina HumanMethylation450 BeadChip (HumanMethylation450_15017482)
Samples (194)
GSM3112912 3998998123_R01C01
GSM3112913 3998998123_R02C01
GSM3112914 3998998123_R03C01
BioProject PRJNA453788

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
GSE113725_RAW.tar 183.1 Mb (http)(custom) TAR
GSE113725_detectionP.csv.gz 2.3 Mb (ftp)(http) CSV
GSE113725_methylatedIntensities.csv.gz 177.7 Mb (ftp)(http) CSV
GSE113725_rawBetas.csv.gz 645.2 Mb (ftp)(http) CSV
GSE113725_unmethylatedIntensities.csv.gz 183.3 Mb (ftp)(http) CSV
Processed data included within Sample table

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