bioRxivGeneticsPreprint
Common genetic variation impacts molecular stress response in the brain
Carina SeahiD, Rebecca H. SigneriD, Michael Deans, Heather N. BaderiD, Tom Rusielewicz, Emily M. HicksiD, Hannah E. YoungiD, Alanna C. CoteiD, Kayla G. TownsleyiD, Changxin XuiD, Christopher J. Hunter, Barry McCarthy, Jordan Goldberg, Saunil DobariyaiD, Paul E. Holtzherimer, Keith A. YoungiD, NYSCF Global Stem Cell Array Team, Scott NoggleiD, John Harrison KrystaliD, Daniel J PaulliD, Matthew J. GirgentiiD, Rachel YehudaiD, Kristen BrennandiD, Laura M. HuckinsiD
Abstract
To explain why individuals exposed to identical stressors experience divergent clinical outcomes, we determine how molecular encoding of stress modifies genetic risk for brain disorders. Analysis of post-mortem brain (n=304) revealed 8557 stress-interactive expression quantitative trait loci (eQTLs) that dysregulate expression of 915 eGenes in response to stress, and lie in stress-related transcription factor binding sites. Response to stress is robust across experimental paradigms: up to 50% of stress-interactive eGenes validate in glucocorticoid treated hiPSC-derived neurons (n=39 donors). Stress-interactive eGenes show brain region- and cell type-specificity, and, in post-mortem brain, implicate glial and endothelial mechanisms. Stress dysregulates long-term expression of disorder risk genes in a genotype-dependent manner; stress-interactive transcriptomic imputation uncovered 139 novel genes conferring brain disorder risk only in the context of traumatic stress. Molecular stress-encoding explains individualized responses to traumatic stress; incorporating trauma into genomic studies of brain disorders is likely to improve diagnosis, prognosis, and drug discovery. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=71 SRC="FIGDIR/small/573459v1_ufig1.gif" ALT="Figure 1"> View larger version (25K): org.highwire.dtl.DTLVardef@1e07fa9org.highwire.dtl.DTLVardef@1dd530forg.highwire.dtl.DTLVardef@17822a5org.highwire.dtl.DTLVardef@2a889f_HPS_FORMAT_FIGEXP M_FIG C_FIG
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: GWAS / association mapping
- research focus: fine-mapping
- approach: statistical model
- Citations
- 11
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