File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Brain transcriptome-wide association study implicates novel risk genes underlying schizophrenia risk

TitleBrain transcriptome-wide association study implicates novel risk genes underlying schizophrenia risk
Authors
KeywordseQTL
GWAS
schizophrenia
TWAS
white matter tract
Issue Date1-Oct-2023
PublisherCambridge University Press
Citation
Psychological Medicine, 2023, v. 53, n. 14, p. 6867-6877 How to Cite?
Abstract

Background To identify risk genes whose expression are regulated by the reported risk variants and to explore the potential regulatory mechanism in schizophrenia (SCZ). Methods We systematically integrated three independent brain expression quantitative traits (eQTLs) (CommonMind, GTEx, and BrainSeq Phase 2, a total of 1039 individuals) and GWAS data (56 418 cases and 78 818 controls), with the use of transcriptome-wide association study (TWAS). Diffusion magnetic resonance imaging was utilized to quantify the integrity of white matter bundles and determine whether polygenic risk of novel genes linked to brain structure was present in patients with first-episode antipsychotic SCZ. Results TWAS showed that eight risk genes (CORO7, DDAH2, DDHD2, ELAC2, GLT8D1, PCDHA8, THOC7, and TYW5) reached transcriptome-wide significance (TWS) level. These findings were confirmed by an independent integrative approach (i.e. Sherlock). We further conducted conditional analyses and identified the potential risk genes that driven the TWAS association signal in each locus. Gene expression analysis showed that several TWS genes (including CORO7, DDAH2, DDHD2, ELAC2, GLT8D1, THOC7 and TYW5) were dysregulated in the dorsolateral prefrontal cortex of SCZ cases compared with controls. TWS genes were mainly expressed on the surface of glutamatergic neurons, GABAergic neurons, and microglia. Finally, SCZ cases had a substantially greater TWS genes-based polygenic risk (PRS) compared to controls, and we showed that fractional anisotropy of the cingulum-hippocampus mediates the influence of TWS genes PRS on SCZ. Conclusions Our findings identified novel SCZ risk genes and highlighted the importance of the TWS genes in frontal-limbic dysfunctions in SCZ, indicating possible therapeutic targets.


Persistent Identifierhttp://hdl.handle.net/10722/345773
ISSN
2023 Impact Factor: 5.9
2023 SCImago Journal Rankings: 2.768

 

DC FieldValueLanguage
dc.contributor.authorZhang, Chengcheng-
dc.contributor.authorLi, Xiaojing-
dc.contributor.authorZhao, Liansheng-
dc.contributor.authorGuo, Wanjun-
dc.contributor.authorDeng, Wei-
dc.contributor.authorWang, Qiang-
dc.contributor.authorHu, Xun-
dc.contributor.authorDu, Xiangdong-
dc.contributor.authorSham, Pak Chung-
dc.contributor.authorLuo, Xiongjian-
dc.contributor.authorLi, Tao-
dc.date.accessioned2024-08-28T07:40:37Z-
dc.date.available2024-08-28T07:40:37Z-
dc.date.issued2023-10-01-
dc.identifier.citationPsychological Medicine, 2023, v. 53, n. 14, p. 6867-6877-
dc.identifier.issn0033-2917-
dc.identifier.urihttp://hdl.handle.net/10722/345773-
dc.description.abstract<p>Background To identify risk genes whose expression are regulated by the reported risk variants and to explore the potential regulatory mechanism in schizophrenia (SCZ). Methods We systematically integrated three independent brain expression quantitative traits (eQTLs) (CommonMind, GTEx, and BrainSeq Phase 2, a total of 1039 individuals) and GWAS data (56 418 cases and 78 818 controls), with the use of transcriptome-wide association study (TWAS). Diffusion magnetic resonance imaging was utilized to quantify the integrity of white matter bundles and determine whether polygenic risk of novel genes linked to brain structure was present in patients with first-episode antipsychotic SCZ. Results TWAS showed that eight risk genes (CORO7, DDAH2, DDHD2, ELAC2, GLT8D1, PCDHA8, THOC7, and TYW5) reached transcriptome-wide significance (TWS) level. These findings were confirmed by an independent integrative approach (i.e. Sherlock). We further conducted conditional analyses and identified the potential risk genes that driven the TWAS association signal in each locus. Gene expression analysis showed that several TWS genes (including CORO7, DDAH2, DDHD2, ELAC2, GLT8D1, THOC7 and TYW5) were dysregulated in the dorsolateral prefrontal cortex of SCZ cases compared with controls. TWS genes were mainly expressed on the surface of glutamatergic neurons, GABAergic neurons, and microglia. Finally, SCZ cases had a substantially greater TWS genes-based polygenic risk (PRS) compared to controls, and we showed that fractional anisotropy of the cingulum-hippocampus mediates the influence of TWS genes PRS on SCZ. Conclusions Our findings identified novel SCZ risk genes and highlighted the importance of the TWS genes in frontal-limbic dysfunctions in SCZ, indicating possible therapeutic targets.</p>-
dc.languageeng-
dc.publisherCambridge University Press-
dc.relation.ispartofPsychological Medicine-
dc.subjecteQTL-
dc.subjectGWAS-
dc.subjectschizophrenia-
dc.subjectTWAS-
dc.subjectwhite matter tract-
dc.titleBrain transcriptome-wide association study implicates novel risk genes underlying schizophrenia risk-
dc.typeArticle-
dc.identifier.doi10.1017/S0033291723000417-
dc.identifier.scopuseid_2-s2.0-85178022755-
dc.identifier.volume53-
dc.identifier.issue14-
dc.identifier.spage6867-
dc.identifier.epage6877-
dc.identifier.eissn1469-8978-
dc.identifier.issnl0033-2917-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats