統合失調症の重度認知症状に関連する遺伝子変化を特定(UW study identifies genetic changes tied to more severe cognitive symptoms in schizophrenia)

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2026-07-28 ワシントン大学(UW)

ワシントン大学の研究チームは、統合失調症患者でみられる認知機能障害の重症度に関連する遺伝的変異を特定した。研究成果はNature Mental Healthに掲載された。統合失調症では幻覚や妄想だけでなく、記憶力や注意力、問題解決能力などの認知機能低下が日常生活や社会復帰を大きく妨げるが、その個人差を生み出す遺伝的要因は十分に解明されていなかった。研究では、多数の患者のゲノムデータと認知機能評価を統合解析し、認知症状がより重い患者に共通する複数の遺伝的変異を同定した。これらの変異は神経細胞の発達やシナプス機能、脳内ネットワークの形成に関わる遺伝子群と関連しており、認知障害の重症化に寄与する可能性が示された。本成果は、統合失調症を症状の重症度に基づいてより精密に分類する基盤となるほか、認知機能障害を標的とした新たな治療法や個別化医療の開発につながることが期待される。

<関連情報>

胎児期遺伝子調節遺伝子欠失と統合失調症および地域住民サンプルにおける認知機能低下との関連性 Association of Fetal Gene Regulatory Gene Deletions With Poor Cognition in Schizophrenia and Community-Based Samples

Jennifer K. Forsyth, Ph.D. jenforsy@uw.edu, Jinhan Zhu, M.Sc., Ariana S. Chavannes, B.A., Zachary H. Trevorrow, M.A., Mahnoor Hyat, M.A., Sam A. Sievertsen, B.A., Sophie Ferreira-Ianone, B.Sc., … , and Carrie E. Bearden, Ph.D.
American Journal of Psychiatry  Published:24 June 2026
DOI:https://doi.org/10.1176/appi.ajp.20240779

Abstract

Objective:
Schizophrenia is a neurodevelopmental disorder involving clinical and genetic heterogeneity. Multiple recurrent copy number variants (CNVs) increase risk for schizophrenia spectrum disorders (SSDs). However, it is unclear how known risk CNVs and broader genome-wide CNVs influence clinical variability. Furthermore, whether biological annotation of CNV scores can improve power for patient stratification is unknown. This study therefore investigated the relationships between severe SSD-related phenotypes and varied CNV metrics, including CNV burden affecting genes involved in different aspects of neurodevelopment.

Methods:
This study of 617 individuals with SSDs examined associations of two severe phenotypes—childhood-onset psychosis and borderline intellectual functioning (IQ)—with 1) known risk CNVs, 2) genome-wide deletion burden scores, and 3) novel scores capturing deletion burden in 18 previously validated and mutually exclusive gene sets, representing distinct aspects of neurodevelopment. Associations with borderline IQ were assessed for replicability in 233 relatives of SSD patients, 581 control subjects, and 9,930 youths from the Adolescent Brain Cognitive Development (ABCD) Study.

Results:
Known SSD-risk CNVs (odds ratio=7.07, 95% CI=1.60, 31.32) and neurodevelopmental disorder (NDD)–risk CNVs (odds ratio=4.56, 95% CI=1.48, 14.10) were associated with borderline IQ in SSDs. Furthermore, beyond effects of known NDD-risk CNVs, deletion of genes involved in regulating gene expression during fetal brain development was associated with borderline IQ across SSD cases and noncases (odds ratio=2.57, 95% CI=1.44, 4.60) and in the ABCD cohort (odds ratio=1.33, 95% CI=1.00, 1.76). Exploratory structural MRI–based analyses showed associations between fetal gene regulatory gene deletions and altered gray matter volume (b=0.09, 95% CI=0.004, 0.17) and cortical thickness (b=0.14, 95% CI=0.05, 0.24) across SSD cases and noncases.

Conclusions:
The study results confirm contributions of known risk CNVs to severe phenotypes in SSDs, implicate disrupted fetal brain development in poor cognition, and demonstrate the utility of a neurodevelopmental framework for identifying mechanisms underlying severe SSD-relevant phenotypes.

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