Whole-exome sequencing analysis identifies risk genes for schizophrenia

Area of Science:

• Genetics
• Neuroscience
• Psychiatry

Background:

• Schizophrenia liability is influenced by rare coding variants in numerous genes.
• Only 12 genes have reached exome-wide significance for schizophrenia risk.
• Discovering novel genes is crucial for understanding schizophrenia's genetic architecture.

Purpose of the Study:

• To increase statistical power for gene discovery in schizophrenia.
• To identify novel genes associated with schizophrenia risk through exome sequencing.
• To investigate the role of rare coding variants in schizophrenia etiology.

Main Methods:

• Analysis of exome-sequencing data from 4650 schizophrenia cases and 5719 controls.
• Meta-analysis combining new data with published sequencing data (28,898 cases, 103,041 controls, 3444 trios).
• Exome-wide significance testing and false discovery rate (FDR) analysis.

Main Results:

• Identification of STAG1 and ZNF136 at exome-wide significance.
• Association of six additional genes (SLC6A1, PCLO, ZMYND11, BSCL2, KLC1, CGREF1) at 5% FDR.
• Enrichment of rare coding variants in STAG1, SLC6A1, ZMYND11, and CGREF1 in other psychiatric disorders.
• Fine-mapping of common variant signals in schizophrenia for STAG1 and KLC1.

Conclusions:

• The study identifies novel genes contributing to schizophrenia risk.
• Findings support an etiological role for disrupted chromatin organization in schizophrenia.
• These results offer new insights into the neurobiology of schizophrenia.