Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Whole-exome sequencing analysis identifies risk genes for schizophrenia

Chick, Sophie L., Holmans, Peter ORCID: https://orcid.org/0000-0003-0870-9412, Cameron, Darren, Grozeva, Detelina ORCID: https://orcid.org/0000-0003-3239-8415, Sims, Rebecca ORCID: https://orcid.org/0000-0002-3885-1199, Williams, Julie ORCID: https://orcid.org/0000-0002-4069-0259, Bray, Nicholas J. ORCID: https://orcid.org/0000-0002-4357-574X, Owen, Michael J. ORCID: https://orcid.org/0000-0003-4798-0862, O’Donovan, Michael C. ORCID: https://orcid.org/0000-0001-7073-2379, Walters, James T. R. ORCID: https://orcid.org/0000-0002-6980-4053 and Rees, Elliott ORCID: https://orcid.org/0000-0002-6168-9222 2025. Whole-exome sequencing analysis identifies risk genes for schizophrenia. Nature Communications 16 (1) , 7102. 10.1038/s41467-025-62429-y

[thumbnail of Description of Additional Supplementary Files] PDF (Description of Additional Supplementary Files) - Supplemental Material
Download (92kB)
[thumbnail of Supplementary Methods] PDF (Supplementary Methods) - Supplemental Material
Download (4MB)
[thumbnail of Article] PDF (Article) - Published Version
Available under License Creative Commons Attribution.

Download (943kB)

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.

Item Type: Article
Date Type: Published Online
Status: Published
Schools: Schools > Medicine
Additional Information: License information from Publisher: LICENSE 1: URL: http://creativecommons.org/licenses/by/4.0/, Type: open-access
Publisher: Nature Research
ISSN: 2041-1723
Date of First Compliant Deposit: 6 August 2025
Date of Acceptance: 22 July 2025
Last Modified: 06 Aug 2025 09:30
URI: https://orca.cardiff.ac.uk/id/eprint/180284

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics