ArticleNeuroscience applied2024
Co-expression of prepulse inhibition and Schizophrenia genes in the mouse and human brain.
Article in Neuroscience applied, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Model Systems infrastructure of the German Center for Mental Health (DZPG): toward an integrated, mechanism-based framework for mental health research.European archives of psychiatry and clinical neuroscience · 2026Review
- Psychopharmacological Mechanisms of Antidepressant Withdrawal: Insights From Venlafaxine.Human psychopharmacology · 2026Review
- Deep learning-based stratification of Schizophrenia Spectrum Disorder from real-world data reveals distinct profiles of common and rare variant genetic signal.medRxiv : the preprint server for health sciences · 2026Article
- Shared Disease Mechanisms in Neurodevelopmental Disorders: A Cellular and Molecular Biology Perspective.Brain sciences · 2025Review
- IMPC impact on preclinical mouse models.Mammalian genome : official journal of the International Mammalian Genome Society · 2025Article
- Digital tools of analysis and data integration facilitate synergy between mouse and human brain research and enable translation.Mammalian genome : official journal of the International Mammalian Genome Society · 2024Article
- Commentary: The International Mouse Phenotyping Consortium: high-throughput in vivo functional annotation of the mammalian genome.Mammalian genome : official journal of the International Mammalian Genome Society · 2024Article
- Addressing pitfalls in translation.Neuroscience applied · 2024Article
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Authors and funding
31 authors.
Funding
No grant is acknowledged in the PubMed record.
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
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.