medRxivGenetic & Genomic MedicinePreprint
Distinct Neurodevelopmental Signatures of Sex-Specific Transcriptome-Based Polygenic Risk Scores for Depression
Sarah S. RashidiD, Kevan P. CliffordiD, Amy E. MilesiD, Fernanda C. Dos SantosiD, Etienne Sibille, Yuliya S. NikolovaiD
Abstract
Major depressive disorder (MDD) impacts females and males differently and post-mortem gene expression profiling reveals distinct transcriptomic signatures of the disorder in each sex. Using genes that are transcriptionally altered in MDD in both sexes, we recently developed a novel transcriptome-based polygenic risk score (tPRS), which had sex-specific associations with brain structure and depressive symptoms in both adolescents and adults. Identifying the neurodevelopmental signatures of genetically-induced shifts toward a depression-like brain transcriptome in each sex during a crucial stage, when sex differences in MDD vulnerability initially manifest, could provide useful information about the developmental pathways of early MDD risk. Leveraging sex-specific MDD gene expression data, we sought to develop female- and male-specific tPRSs (tPRS-F and tPRS-M, respectively) and evaluate their impact on regional cortical thickness, cortical surface area, subcortical volume, and depressive symptoms at baseline and 2-year follow-up in a developmental sample of 5002 adolescents (46.6% female, aged 8.9-11.0). In males, tPRS-M was associated with higher depressive symptoms at both timepoints and thicker left posterior cingulate at follow-up. In females, tPRS-F was associated with lower volumes of the right accumbens area, right caudate, and bilateral hippocampi at follow-up. Subcortical volumes of the right caudate and right hippocampus further mediated an indirect effect of tPRS-F on depressive symptoms. For each sex-specific PRS, no effects emerged in the opposite sex. Our findings suggest that sex-specific depression-like shifts in gene expression may contribute to unique vulnerability phenotypes for future MDD risk via distinct mechanisms in each sex.
- organism: human
- assay: bulk RNA-seq
- assay: imaging
- research focus: polygenic risk
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 0
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