» Articles » PMID: 37945807

Genome-wide Meta-analysis, Functional Genomics and Integrative Analyses Implicate New Risk Genes and Therapeutic Targets for Anxiety Disorders

Overview
Journal Nat Hum Behav
Date 2023 Nov 9
PMID 37945807
Authors
Affiliations
Soon will be listed here.
Abstract

Anxiety disorders are the most prevalent mental disorders. However, the genetic etiology of anxiety disorders remains largely unknown. Here we conducted a genome-wide meta-analysis on anxiety disorders by including 74,973 (28,392 proxy) cases and 400,243 (146,771 proxy) controls. We identified 14 risk loci, including 10 new associations near CNTNAP5, MAP2, RAB9BP1, BTN1A1, PRR16, PCLO, PTPRD, FARP1, CDH2 and RAB27B. Functional genomics and fine-mapping pinpointed the potential causal variants, and expression quantitative trait loci analysis revealed the potential target genes regulated by the risk variants. Integrative analyses, including transcriptome-wide association study, proteome-wide association study and colocalization analyses, prioritized potential causal genes (including CTNND1 and RAB27B). Evidence from multiple analyses revealed possibly causal genes, including RAB27B, BTN3A2, PCLO and CTNND1. Finally, we showed that Ctnnd1 knockdown affected dendritic spine density and resulted in anxiety-like behaviours in mice, revealing the potential role of CTNND1 in anxiety disorders. Our study identified new risk loci, potential causal variants and genes for anxiety disorders, providing insights into the genetic architecture of anxiety disorders and potential therapeutic targets.

Citing Articles

Cross-ancestry genome-wide association study and systems-level integrative analyses implicate new risk genes and therapeutic targets for depression.

Li Y, Dang X, Chen R, Teng Z, Wang J, Li S Nat Hum Behav. 2025; .

PMID: 39994458 DOI: 10.1038/s41562-024-02073-6.


Leveraging pleiotropy for the improved treatment of psychiatric disorders.

Woodward D, Thorp J, Middeldorp C, Akoile W, Derks E, Gerring Z Mol Psychiatry. 2024; 30(2):705-721.

PMID: 39390223 PMC: 11746150. DOI: 10.1038/s41380-024-02771-7.


Whole-genome sequencing identifies novel genes for autism in Chinese trios.

Chang S, Liu J, Zhao Y, Pang T, Zheng X, Song Z Sci China Life Sci. 2024; 67(11):2368-2381.

PMID: 39126614 DOI: 10.1007/s11427-023-2564-8.


Genome-wide association study of major anxiety disorders in 122,341 European-ancestry cases identifies 58 loci and highlights GABAergic signaling.

Strom N, Verhulst B, Bacanu S, Cheesman R, Purves K, Gedik H medRxiv. 2024; .

PMID: 39006447 PMC: 11245051. DOI: 10.1101/2024.07.03.24309466.


Identification of novel therapeutic targets for chronic kidney disease and kidney function by integrating multi-omics proteome with transcriptome.

Si S, Liu H, Xu L, Zhan S Genome Med. 2024; 16(1):84.

PMID: 38898508 PMC: 11186236. DOI: 10.1186/s13073-024-01356-x.


References
1.
Kessler R, Berglund P, Demler O, Jin R, Merikangas K, Walters E . Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005; 62(6):593-602. DOI: 10.1001/archpsyc.62.6.593. View

2.
Kessler R, Avenevoli S, Costello E, Georgiades K, Green J, Gruber M . Prevalence, persistence, and sociodemographic correlates of DSM-IV disorders in the National Comorbidity Survey Replication Adolescent Supplement. Arch Gen Psychiatry. 2011; 69(4):372-80. PMC: 3445020. DOI: 10.1001/archgenpsychiatry.2011.160. View

3.
Huang Y, Wang Y, Wang H, Liu Z, Yu X, Yan J . Prevalence of mental disorders in China: a cross-sectional epidemiological study. Lancet Psychiatry. 2019; 6(3):211-224. DOI: 10.1016/S2215-0366(18)30511-X. View

4.
Craske M, Stein M, Eley T, Milad M, Holmes A, Rapee R . Anxiety disorders. Nat Rev Dis Primers. 2017; 3:17024. PMC: 11009418. DOI: 10.1038/nrdp.2017.24. View

5.
Grupe D, Nitschke J . Uncertainty and anticipation in anxiety: an integrated neurobiological and psychological perspective. Nat Rev Neurosci. 2013; 14(7):488-501. PMC: 4276319. DOI: 10.1038/nrn3524. View