Genetic and Regulatory Mechanisms of Comorbidity of Anxiety, Depression and ADHD: A GWAS Meta-Meta-Analysis Through the Lens of a System Biological and Pharmacogenomic Perspective in 18.5 M Subjects

<b>Background:</b> In the United States, approximately 1 in 5 children experience comorbidities with mental illness, including depression and anxiety, which lead to poor general health outcomes. Adolescents with substance use disorders exhibit high rates of co-occurring mental illness, with over 60% meeting diagnostic criteria for another psychiatric condition in community-based treatment programs. Comorbidities are influenced by both genetic (DNA antecedents) and environmental (epigenetic) factors. Given the significant impact of psychiatric comorbidities on individuals' lives, this study aims to uncover common mechanisms through a Genome-Wide Association Study (GWAS) meta-meta-analysis. <b>Methods:</b> GWAS datasets were obtained for each comorbid phenotype, followed by a GWAS meta-meta-analysis using a significance threshold of <i>p</i> < 5E-8 to validate the rationale behind combining all GWAS phenotypes. The combined and refined dataset was subjected to bioinformatic analyses, including Protein-Protein Interactions and Systems Biology. Pharmacogenomics (PGx) annotations for all potential genes with at least one PGx were tested, and the genes identified were combined with the Genetic Addiction Risk Severity (GARS) test, which included 10 genes and eleven Single Nucleotide Polymorphisms (SNPs). The STRING-MODEL was employed to discover novel networks and Protein-Drug interactions. <b>Results:</b> Autism Spectrum Disorder (ASD) was identified as the top manifestation derived from the known comorbid interaction of anxiety, depression, and attention deficit hyperactivity disorder (ADHD). The STRING-MODEL and Protein-Drug interaction analysis revealed a novel network associated with these psychiatric comorbidities. The findings suggest that these interactions are linked to the need to induce "dopamine homeostasis" as a therapeutic outcome. <b>Conclusions:</b> This study provides a reliable genetic and epigenetic map that could assist healthcare professionals in the therapeutic care of patients presenting with multiple psychiatric manifestations, including anxiety, depression, and ADHD. The results highlight the importance of targeting dopamine homeostasis in managing ASD linked to these comorbidities. These insights may guide future pharmacogenomic interventions to improve clinical outcomes in affected individuals.

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Publication Details

Journal
Journal of Personalized Medicine
Published
2025-03-05
DOI
https://doi.org/10.3390/jpm15030103
Citations
3
Primary Topic
Attention Deficit Hyperactivity Disorder
Type
article
Field-Weighted Citation Impact
4.41
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article

Genetic and Regulatory Mechanisms of Comorbidity of Anxiety, Depression and ADHD: A GWAS Meta-Meta-Analysis Through the Lens of a System Biological and Pharmacogenomic Perspective in 18.5 M Subjects

Rossano Kepler Alvim Fiorelli, Foojan Zeine, Edward J. Modestino, Kenneth Blum et al.
3 citations
Journal of Personalized Medicine
Attention Deficit Hyperactivity Disorder
4.41
article

Genetic and Regulatory Mechanisms of Comorbidity of Anxiety, Depression and ADHD: A GWAS Meta-Meta-Analysis Through the Lens of a System Biological and Pharmacogenomic Perspective in 18.5 M Subjects

Rossano Kepler Alvim Fiorelli, Foojan Zeine, Edward J. Modestino, Kenneth Blum, Colin Hanna, Alireza Sharafshah, David Baron, Ashim Gupta, Rajendra D. Badgaiyan, Nicole Jafari, Abdalla Bowirrat, Igor Elman, Albert Pinhasov, Keerthy Sunder, Kai‐Uwe Lewandrowski, Milan Makale, Sergio L. Schmidt, Kyriaki Z. Thanos, Kevin T. Murphy, Panayotis K. Thanos, Alex P. L. Lewandrowski, Richa Zirath
article en
3 citations

Abstract

<b>Background:</b> In the United States, approximately 1 in 5 children experience comorbidities with mental illness, including depression and anxiety, which lead to poor general health outcomes. Adolescents with substance use disorders exhibit high rates of co-occurring mental illness, with over 60% meeting diagnostic criteria for another psychiatric condition in community-based treatment programs. Comorbidities are influenced by both genetic (DNA antecedents) and environmental (epigenetic) factors. Given the significant impact of psychiatric comorbidities on individuals' lives, this study aims to uncover common mechanisms through a Genome-Wide Association Study (GWAS) meta-meta-analysis. <b>Methods:</b> GWAS datasets were obtained for each comorbid phenotype, followed by a GWAS meta-meta-analysis using a significance threshold of <i>p</i> < 5E-8 to validate the rationale behind combining all GWAS phenotypes. The combined and refined dataset was subjected to bioinformatic analyses, including Protein-Protein Interactions and Systems Biology. Pharmacogenomics (PGx) annotations for all potential genes with at least one PGx were tested, and the genes identified were combined with the Genetic Addiction Risk Severity (GARS) test, which included 10 genes and eleven Single Nucleotide Polymorphisms (SNPs). The STRING-MODEL was employed to discover novel networks and Protein-Drug interactions. <b>Results:</b> Autism Spectrum Disorder (ASD) was identified as the top manifestation derived from the known comorbid interaction of anxiety, depression, and attention deficit hyperactivity disorder (ADHD). The STRING-MODEL and Protein-Drug interaction analysis revealed a novel network associated with these psychiatric comorbidities. The findings suggest that these interactions are linked to the need to induce "dopamine homeostasis" as a therapeutic outcome. <b>Conclusions:</b> This study provides a reliable genetic and epigenetic map that could assist healthcare professionals in the therapeutic care of patients presenting with multiple psychiatric manifestations, including anxiety, depression, and ADHD. The results highlight the importance of targeting dopamine homeostasis in managing ASD linked to these comorbidities. These insights may guide future pharmacogenomic interventions to improve clinical outcomes in affected individuals.

Journal of Personalized MedicineVol. 15(3)
University of California, Riverside (US), Eötvös Loránd University (HU), Texas Tech University (US), Cambridge Health Alliance (US), Harvard University (US), University of Arizona (US), Guilan University of Medical Sciences (IR), University of California San Diego (US), Hospital Universitário Gaffrée e Guinle (BR), Desert Institute For Spine Care (US), NeuroGenetic Pharmaceuticals (United States) (US), Fundación Universitaria Sanitas (CO), Curry College (US), Ariel University (IL), California State University, Long Beach (US), Universidade Federal do Estado do Rio de Janeiro (BR), The Chicago School (US), Texas Tech University Health Sciences Center (US), Western University of Health Sciences (US), Stanford University (US), Icahn School of Medicine at Mount Sinai (US)
Good health and well-being
Openalex Percentile: Top 7%
Attention Deficit Hyperactivity Disorder
4.41
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