Investigating the Epigenetic Landscape of Major Depressive Disorder: A Genome-Wide Meta-Analysis of DNA Methylation Data, including New Insights into Stochastic Epigenetic Muta-Tions and Epivariations DOI Open Access
Giulia Nicole Baldrighi, Rebecca Cavagnola, Luciano Calzari

et al.

Published: Aug. 21, 2024

Major depressive disorder (MDD) is a prevalent mental health condition with substantial social and economic consequences. This study focuses on the interplay between genetic environmen-tal factors in MDD, particular emphasis epigenetic mechanisms such as stochastic epige-netic mutations (SEMs), age acceleration, drift. We conducted meta-analysis of DNA methylation patterns across six datasets (n=1125 MDD cases, 398 controls whole blood; n=95 96 brain tissues) from Gene Expression Omnibus. The analysis did not reveal significant global differences cases controls. However, brain-specific probe (cg25801113) near SHF gene consistently exhibited hypomethylation, suggesting its potential relevance to MDD. SEMs were assessed, revealing dis-tinct burden at level though no findings emerged for indicating it may play central role also identified rare epivariations specific genes unique cases. In blood tissue, 51 associated these epivariations, while 1 was highlighted tissue. These results un-derscore importance exploring understanding molecular mecha-nisms underlying offer targets further investigation.

Language: Английский

Investigating the Epigenetic Landscape of Major Depressive Disorder: A Genome-Wide Meta-Analysis of DNA Methylation Data, including New Insights into Stochastic Epigenetic Muta-Tions and Epivariations DOI Open Access
Giulia Nicole Baldrighi, Rebecca Cavagnola, Luciano Calzari

et al.

Published: Aug. 21, 2024

Major depressive disorder (MDD) is a prevalent mental health condition with substantial social and economic consequences. This study focuses on the interplay between genetic environmen-tal factors in MDD, particular emphasis epigenetic mechanisms such as stochastic epige-netic mutations (SEMs), age acceleration, drift. We conducted meta-analysis of DNA methylation patterns across six datasets (n=1125 MDD cases, 398 controls whole blood; n=95 96 brain tissues) from Gene Expression Omnibus. The analysis did not reveal significant global differences cases controls. However, brain-specific probe (cg25801113) near SHF gene consistently exhibited hypomethylation, suggesting its potential relevance to MDD. SEMs were assessed, revealing dis-tinct burden at level though no findings emerged for indicating it may play central role also identified rare epivariations specific genes unique cases. In blood tissue, 51 associated these epivariations, while 1 was highlighted tissue. These results un-derscore importance exploring understanding molecular mecha-nisms underlying offer targets further investigation.

Language: Английский

Citations

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