Rare coding variants in ten genes confer substantial risk for schizophrenia

遗传学 基因 生物 精神分裂症(面向对象编程) 计算生物学 医学 精神科
作者
Tarjinder Singh,Timothy Poterba,David Curtis,Huda Akil,Mariam Al Eissa,Jack D. Barchas,Nicholas Bass,Tim B. Bigdeli,Gerome Breen,Evelyn J. Bromet,P.F. Buckley,William E. Bunney,Jonas Bybjerg‐Grauholm,William Byerley,Sinéad B. Chapman,Wei J. Chen,Claire Churchhouse,Nicholas Craddock,Caroline Cusick,Lynn E. DeLisi
出处
期刊:Nature [Nature Portfolio]
卷期号:604 (7906): 509-516 被引量:781
标识
DOI:10.1038/s41586-022-04556-w
摘要

Rare coding variation has historically provided the most direct connections between gene function and disease pathogenesis. By meta-analysing the whole exomes of 24,248 schizophrenia cases and 97,322 controls, we implicate ultra-rare coding variants (URVs) in 10 genes as conferring substantial risk for schizophrenia (odds ratios of 3–50, P < 2.14 × 10−6) and 32 genes at a false discovery rate of <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 the NMDA (N-methyl-d-aspartate) receptor subunit GRIN2A and AMPA (α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid) receptor subunit GRIA3 provide support for dysfunction of the glutamatergic system as a mechanistic hypothesis in the pathogenesis of schizophrenia. We observe an overlap of rare variant risk among schizophrenia, autism spectrum disorders1, epilepsy and severe neurodevelopmental disorders2, although different mutation types are implicated in some shared genes. Most genes described here, however, are not implicated in neurodevelopment. We demonstrate that genes prioritized from common variant analyses of schizophrenia are enriched in rare variant risk3, suggesting that common and rare genetic risk factors converge at least partially on the same underlying pathogenic biological processes. Even after excluding significantly associated genes, schizophrenia cases still carry a substantial excess of URVs, which indicates that more risk genes await discovery using this approach. Whole-exome sequencing identifies ten risk genes for schizophrenia implicated by rare protein-coding variants, a subset of which overlap with risk genes in other neurodevelopmental disorders.
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