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Translational PsychiatryGenetic & Genomic MedicinePeer-reviewed journal article

Association between DNA Methylation Levels in Brain Tissue and Late-Life Depression in Community-Based Participants

Anke HülsiD, Chloe RobinsiD, Karen N. ConneelyiD, Philip L. De JageriD, David Alan BennettiD, Michael P. EpsteiniD, Thomas S. WingoiD, Aliza P. WingoiD

PDFDOIPreprint

Abstract

ObjectiveMajor depressive disorder (MDD) arises from a combination of genetic and environmental risk factors and DNA methylation is one of the molecular mechanisms through which these factors can manifest. However, little is known about the epigenetic signature of MDD in brain tissue. This study aimed to investigate associations between brain tissue-based DNA methylation and late-life MDD. MethodsWe performed a brain epigenome-wide association study (EWAS) of late-life MDD in 608 participants from the Religious Order Study and the Rush Memory and Aging Project (ROS/MAP) using DNA methylation profiles of the dorsal lateral prefrontal cortex (dPFC) generated using the Illumina HumanMethylation450 Beadchip array. We also conducted an EWAS of MDD in each sex separately. ResultsWe found epigenome-wide significant associations between brain-tissue-based DNA methylation and late-life MDD. The most significant and robust association was found with altered methylation levels in the YOD1 locus (cg25594636, p-value=2.55 x 10-11; cg03899372, p-value=3.12 x 10-09; cg12796440, p-value=1.51 x 10-08, cg23982678, p-value=7.94 x 10-08). Analysis of differentially methylated regions (DMR, p-value=5.06 x 10-10) further confirmed this locus. Other significant loci include UGT8 (cg18921206, p-value=1.75 x 10-08), FNDC3B (cg20367479, p-value=4.97 x 10-08) and SLIT2 (cg10946669, p-value=8.01 x 10-08). Notably, brain-tissue based methylation levels were strongly associated with late-life MDD in men more than in women. ConclusionsWe identified altered methylation in the YOD1, UGT8, FNDC3B and SLIT2 loci as new epigenetic factors associated with late-life MDD. Furthermore, our study highlights the sex-specific molecular heterogeneity of MDD.

Citations
44
FWCI
2.11
Field percentile
top 12%

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