NeuronNeurosciencePeer-reviewed journal article
Regional heterogeneity in gene expression, regulation and coherence in hippocampus and dorsolateral prefrontal cortex across development and in schizophrenia
Leonardo Collado‐TorresiD, Emily E. Burke, Amy PetersoniD, Jooheon H. Shin, Richard E. StraubiD, Anandita Rajpurohit, Stephen Andrew SemickiD, William S. Ulrich, Amanda J. PriceiD, Cristian ValenciaiD, Ran Tao, Amy Deep‐SoboslayiD, Thomas M. HydeiD, Joel E. KleinmaniD, Daniel R. WeinbergeriD, Andrew E. JaffeiD
Abstract
Recent large-scale genomics efforts have better characterized the molecular correlates of schizophrenia in postmortem human neocortex, but not hippocampus which is a brain region prominently implicated in its pathogenesis. Here in the second phase of the BrainSeq Consortium (Phase II), we have generated RiboZero RNA-seq data for 900 samples across both the dorsolateral prefrontal cortex (DLPFC) and the hippocampus (HIPPO) for 551 individuals (286 affected by schizophrenia disorder: SCZD). We identify substantial regional differences in gene expression, in both pre- and post-natal life, and find widespread differences in how genes are regulated across development. By extending quality surrogate variable analysis (qSVA) to multiple brain regions, we identified 48 and 245 differentially expressed genes (DEG) by SCZD diagnosis (FDR<5%) in HIPPO and DLPFC, respectively, with surprisingly minimal overlap in DEG between the two brain regions. We further identified 205,618 brain region-dependent eQTLs (FDR<1%) and found that 124 GWAS risk loci contain eQTLs in at least one of the regions. We also identify potential molecular correlates of in vivo evidence of altered prefrontal-hippocampal functional coherence in schizophrenia. These results underscore the complexity and regional heterogeneity of the transcriptional correlates of schizophrenia, and suggest future schizophrenia therapeutics may need to target molecular pathologies localized to specific brain regions.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: eQTL / molecular QTL mapping
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 243
- FWCI
- 21.27
- Field percentile
- top 1%
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