2022
DOI: 10.1038/s41586-022-04556-w
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Rare coding variants in ten genes confer substantial risk for schizophrenia

Abstract: By meta-analyzing the whole-exomes of 24,248 cases and 97,322 controls, we implicate ultra-rare coding variants (URVs) in ten genes as conferring substantial risk for schizophrenia (odds ratios 3 -50, P < 2.14 x 10 -6 ), and 32 genes at a FDR < 5%. These genes have the greatest expression in central nervous system neurons and have diverse molecular functions that include the formation, structure, and function of the synapse. The associations of NMDA receptor subunit GRIN2A and AMPA receptor subunit GRIA3 provi… Show more

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Cited by 538 publications
(443 citation statements)
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“…The GWAS Catalog however includes multiple SNP-trait associations (STAs) primarily with non-brain phenotypes ( NR3C1 : atrial fibrillation, height, lung function; NR3C2 : blood pressure, electrocardiogram morphology, lymphocyte counts; Supplementary Tables 1–2 ), but also brain phenotypes ( NR3C1 : migraine, response to ketamine, sleep; NR3C2 : Alzheimer's disease, hippocampal volume, neurofibrillary tangles; Supplementary Tables 1–2 ). Finally, rare variants in NR3C2 are associated with autism spectrum disorder ( De Rubeis et al, 2014 ; Ruzzo et al, 2019 ) and schizophrenia ( Singh et al, 2022 ). The two genes did not share many trait-associations (∼6%, Fig.…”
Section: What Next?mentioning
confidence: 99%
“…The GWAS Catalog however includes multiple SNP-trait associations (STAs) primarily with non-brain phenotypes ( NR3C1 : atrial fibrillation, height, lung function; NR3C2 : blood pressure, electrocardiogram morphology, lymphocyte counts; Supplementary Tables 1–2 ), but also brain phenotypes ( NR3C1 : migraine, response to ketamine, sleep; NR3C2 : Alzheimer's disease, hippocampal volume, neurofibrillary tangles; Supplementary Tables 1–2 ). Finally, rare variants in NR3C2 are associated with autism spectrum disorder ( De Rubeis et al, 2014 ; Ruzzo et al, 2019 ) and schizophrenia ( Singh et al, 2022 ). The two genes did not share many trait-associations (∼6%, Fig.…”
Section: What Next?mentioning
confidence: 99%
“…Recently, the discovery of schizophrenia risk genes has been enhanced by large-scale exome or genome sequencing of tens of thousands of cases versus controls. Such studies have the power to uncover rare loss-of-function coding variants (such as protein truncating variants) that have a large impact on schizophrenia risk [1, 9, 10]. In one of the largest sequencing studies to date of 24,248 cases and 97,322 controls, the Schizophrenia Exome Sequencing Meta-analysis Consortium (SCHEMA) has identified multiple rare loss-of-function genetic variants at exome-wide level of significance that confer substantial disease risk (“SCHEMA genes”; odds ratios in the range of 4-50) [1].…”
Section: Introductionmentioning
confidence: 99%
“…Such studies have the power to uncover rare loss-of-function coding variants (such as protein truncating variants) that have a large impact on schizophrenia risk [1, 9, 10]. In one of the largest sequencing studies to date of 24,248 cases and 97,322 controls, the Schizophrenia Exome Sequencing Meta-analysis Consortium (SCHEMA) has identified multiple rare loss-of-function genetic variants at exome-wide level of significance that confer substantial disease risk (“SCHEMA genes”; odds ratios in the range of 4-50) [1]. Because these rare variants are often protein-truncating, thus presumably loss-of-function null mutations [1, 11], these disease-causing mutations can be easily modeled by genetic disruption (‘knockout’) in animals such as the mouse.…”
Section: Introductionmentioning
confidence: 99%
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