Document Type

Article

Publication Date

6-2024

Keywords

JMG

JAX Source

Neuroscience Applied. 2024;3:104075.

ISSN

2772-4085

DOI

https://doi.org/10.1016/j.nsa.2024.104075

Abstract

Schizophrenia is a complex psychiatric disorder with genetic and phenotypic heterogeneity. Accumulating rare and genome-wide association study (GWAS) common risk variant information has yet to yield robust mechanistic insight. Leveraging large-scale gene deletion mouse phenomic data thus has potential to functionally interrogate and prioritize human disease genes. To this end, we applied a cross-species network-based approach to parse an extensive mouse gene set (188 genes) associated with disrupted prepulse inhibition (PPI), a Schizophrenia endophenotype. Integrating PPI genes with high-resolution mouse and human brain transcriptomic data, we identified functional and disease coherent co-expression modules through hierarchical clustering and weighted gene co-expression network analysis (WGCNA). In two modules, Schizophrenia risk and mouse PPI genes converged based on telencephalic patterning. The associated neuronal genes were highly expressed in cingulate cortex and hippocampus; implicated in synaptic function and neurotransmission and overlapped with the greatest proportion of rare variants. Concordant neuroanatomical patterning revealed novel core Schizophrenia- relevant genes consistent with the Omnigenic hypothesis of complex traits. Among other genes discussed, the developmental and post-synaptic scaffold TANC2 (Tetratricopeptide repeat, ankyrin repeat and coiled-coil containing 2) emerged from both networks as a novel core genetic driver of Schizophrenia altering PPI. As- pects of psychiatric disease comorbidity and phenotypic heterogeneity are also explored. Overall, this study provides a framework and galvanizes the value of mouse preclinical genetics and PPI to prioritize both existing and novel human Schizophrenia candidate genes as druggable targets.

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