bioRxivNeurosciencePreprint
Dopamine and schizophrenia from bench to bedside: Discovery of a striatal co-expression risk gene set that predicts in vivo measures of striatal function.
Leonardo SportelliiD, Daniel Paul EisenbergiD, Roberta PassiatoreiD, Enrico D’AmbrosioiD, Linda Antonella AntonucciiD, Qiang Chen, Jasmine Czarapata, Aaron L. GoldmaniD, Michael A. GregoryiD, Kira GriffithsiD, Thomas M. HydeiD, Joel E. KleinmaniD, Antonio F. PardiñasiD, Madhur ParihariD, Teresa PopolizioiD, Antonio RampinoiD, Joo Heon ShiniD, Mattia VeroneseiD, William S. Ulrich, Caroline F. Zink, Alessandro BertolinoiD, Oliver David HowesiD, Karen Faith BermaniD, Daniel R. WeinbergeriD, Giulio PergolaiD
Abstract
Schizophrenia (SCZ) is characterized by a polygenic risk architecture implicating diverse molecular pathways important for synaptic function. However, how polygenic risk funnels through these pathways to translate into syndromic illness is unanswered. To evaluate biologically meaningful pathways of risk, we used tensor decomposition to characterize gene co-expression in post-mortem brain (of neurotypicals: N=154; patients with SCZ: N=84; and GTEX samples N=120) from caudate nucleus (CN), hippocampus (HP), and dorsolateral prefrontal cortex (DLPFC). We identified a CN-predominant gene set showing dopaminergic selectivity that was enriched for genes associated with clinical state and for genes associated with SCZ risk. Parsing polygenic risk score for SCZ based on this specific gene set (parsed-PRS), we found that greater pathway-specific SCZ risk predicted greater in vivo striatal dopamine synthesis capacity measured by [18F]-FDOPA PET in three independent cohorts of neurotypicals and patients (total N=235) and greater fMRI striatal activation during reward anticipation in two additional independent neurotypical cohorts (total N=141). These results reveal a bench to bedside translation of dopamine-linked genetic risk variation in driving in vivo striatal neurochemical and hemodynamic phenotypes that have long been implicated in the pathophysiology of SCZ.
- organism: human
- assay: bulk RNA-seq
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: polygenic risk
- approach: statistical model
- Citations
- 1
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