ArticleNature communications2025
Whole-exome sequencing analysis identifies risk genes for schizophrenia.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed.
- Mapping Risk for Psychiatric Disorders to Brain Regions Using Spatial Transcriptomics.Biological psychiatry global open science · 2026Article
- Spatial Mapping of Genetic Liability to Psychiatric Disorders in the Adult Human Hippocampus.Biological psychiatry global open science · 2026Article
- 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
- Genetic Variants from Large Cohorts and Familial Studies Implicate Common Mechanisms in Schizophrenia.Biology · 2026Review
- Probing neuropsychiatric disorders through in vivo CRISPR screening.Current opinion in genetics & development · 2026Review
- Novel intermolecular zinc fingers and redox-driven conformational changes dictate tumor suppressor ZMYND11's role in cooperative recognition of diverse targets.Nucleic acids research · 2026Article
- First computational characterization ofFrontiers in neuroscience · 2026Article
- Article
- The Role of GABA Pathway Components in Pathogenesis of Neurodevelopmental Disorders.International journal of molecular sciences · 2025Review
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Rare coding variants across many genes contribute to schizophrenia liability, but they have only been implicated in 12 genes at exome-wide levels of significance. To increase power for gene discovery, we analyse exome-sequencing data for rare coding variants in a new sample of 4650 schizophrenia cases and 5719 controls, and combine these with published sequencing data for a total of 28,898 cases, 103,041 controls and 3444 proband-parent trios. We identify associations for STAG1 and ZNF136 at exome-wide significance, genes that were previously implicated in schizophrenia by the SCHEMA study at a false discovery rate of 5%. We also find associations at a false discovery rate of 5% for six genes that did not pass this statistical threshold in the SCHEMA study (SLC6A1, PCLO, ZMYND11, BSCL2, KLC1 and CGREF1). Among these genes, SLC6A1 and KLC1 are associated with damaging missense variants alone. STAG1, SLC6A1, ZMYND11 and CGREF1 are also enriched for rare coding variants in other developmental and psychiatric disorders. Moreover, STAG1 and KLC1 have fine-mapped common variant signals in schizophrenia. These findings provide insights into the neurobiology of schizophrenia, including further evidence suggesting an aetiological role for disrupted chromatin organisation.
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Registered trials
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.