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| 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
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| 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.
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| Overall design |
DNA from whole blood from 194 individuals
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| 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 |
| E-mail(s) |
t.murphy@exeter.ac.uk
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| Organization name |
University of Exeter
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| Department |
University of Exeter Medical School
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| Street address |
RILD building
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| City |
Exeter |
| ZIP/Postal code |
EX2 5DW |
| Country |
United Kingdom |
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| Platforms (1) |
| GPL13534 |
Illumina HumanMethylation450 BeadChip (HumanMethylation450_15017482) |
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| Samples (194)
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| Relations |
| BioProject |
PRJNA453788 |
| 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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