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. 2024 May 17:15:1384298.
doi: 10.3389/fpsyt.2024.1384298. eCollection 2024.

Cross-continental environmental and genome-wide association study on children and adolescent anxiety and depression

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Cross-continental environmental and genome-wide association study on children and adolescent anxiety and depression

Bishal Thapaliya et al. Front Psychiatry. .

Abstract

Anxiety and depression in children and adolescents warrant special attention as a public health concern given their devastating and long-term effects on development and mental health. Multiple factors, ranging from genetic vulnerabilities to environmental stressors, influence the risk for the disorders. This study aimed to understand how environmental factors and genomics affect children and adolescents anxiety and depression across three cohorts: Adolescent Brain and Cognitive Development Study (US, age of 9-10; N=11,875), Consortium on Vulnerability to Externalizing Disorders and Addictions (INDIA, age of 6-17; N=4,326) and IMAGEN (EUROPE, age of 14; N=1888). We performed data harmonization and identified the environmental impact on anxiety/depression using a linear mixed-effect model, recursive feature elimination regression, and the LASSO regression model. Subsequently, genome-wide association analyses with consideration of significant environmental factors were performed for all three cohorts by mega-analysis and meta-analysis, followed by functional annotations. The results showed that multiple environmental factors contributed to the risk of anxiety and depression during development, where early life stress and school support index had the most significant and consistent impact across all three cohorts. In both meta, and mega-analysis, SNP rs79878474 in chr11p15 emerged as a particularly promising candidate associated with anxiety and depression, despite not reaching genomic significance. Gene set analysis on the common genes mapped from top promising SNPs of both meta and mega analyses found significant enrichment in regions of chr11p15 and chr3q26, in the function of potassium channels and insulin secretion, in particular Kv3, Kir-6.2, SUR potassium channels encoded by the KCNC1, KCNJ11, and ABCCC8 genes respectively, in chr11p15. Tissue enrichment analysis showed significant enrichment in the small intestine, and a trend of enrichment in the cerebellum. Our findings provide evidences of consistent environmental impact from early life stress and school support index on anxiety and depression during development and also highlight the genetic association between mutations in potassium channels, which support the stress-depression connection via hypothalamic-pituitary-adrenal axis, along with the potential modulating role of potassium channels.

Keywords: GWAS; anxiety; depression; mega-analysis; meta-analysis; regression.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Figures

Figure 1
Figure 1
Data harmonization. (A) Anxiety/depression scores of ABCD, cVEDA and IMAGEN before applying gamma transformation. (B) Anxiety/depression scores of ABCD, cVEDA and IMAGEN after applying gamma transformation (gamma=1.75x for cVEDA). No transformation needed for IMAGEN. (C) ELS scores of ABCD, cVEDA and IMAGEN before applying gamma transformation. (D) ELS scores of ABCD, cVEDA and IMAGEN after applying gamma transformation (gamma=1.75x for cVEDA, 3.5x for IMAGEN).

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References

    1. Sapkota R, Thapaliya B, Suresh P, Ray B, Calhoun VD, Liu J. Multimodal imaging feature extraction with reference canonical correlation analysis underlying intelligence. In: ICASSP 2024 - 2024 IEEE international conference on acoustics, speech and signal processing (ICASSP). (2024). p. 2071–5. doi: 10.1109/ICASSP48485.2024.10448219 - DOI
    1. Thapaliya B, Akbas E, Chen J, Sapkota R, Ray B, Suresh P, et al. . Brain networks and intelligence: A graph neural network based approach to resting state fmri data. (2023). doi: 10.48550/ARXIV.2311.03520 - DOI - PMC - PubMed
    1. Suresh P, Ray B, Thapaliya B, Farahdel B, Kazemivash B, Chen J, et al. . Effective training strategy for nn models of working memory classification with limited samples. In: 2023 IEEE 20th international symposium on biomedical imaging (ISBI). (2023). p. 1–4. doi: 10.1109/ISBI53787.2023.10230722 - DOI
    1. Farahdel B, Thapaliya B, Suresh P, Ray B, Calhoun VD, Liu J. Confirmatory factor analysis on mental health status using abcd cohort. In: 2021 IEEE international conference on bioinformatics and biomedicine (BIBM). (2021). p. 3540–7. doi: 10.1109/BIBM52615.2021.9669378 - DOI
    1. Kessler RC, Merikangas KR, Wang PS. Prevalence, comorbidity, and service utilization for mood disorders in the united states at the beginning of the twenty-first century. Annu Rev Clin Psychol. (2007) 3:137–58. doi: 10.1146/annurev.clinpsy.3.022806.091444 - DOI - PubMed

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