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Rare copy number variants (CNVs) are a key component of the genetic basis of psychiatric conditions, but have not been well characterized for most. We conducted a genome-wide CNV analysis across six diagnostic categories (N = 574,965): autism (ASD), ADHD, bipolar disorder (BD), major depressive disorder (MDD), PTSD, and schizophrenia (SCZ). We identified 35 genome-wide significant associations at 18 loci, including novel associations in SCZ ( - ) and in the combined cross-disorder analysis ( ). Rare CNVs accounted for 1-3% of heritability across diagnoses. In ASD, associations were uniformly positive, consistent with autism having diverse etiologies and clinical presentations. By contrast, CNVs showed a dose-dependent relationship for other diagnoses, including SCZ and PTSD, with reciprocal deletions and duplications having inversely correlated effects and distinct genotype-phenotype relationships. Our findings suggest that genes have effects that are both dose-dependent and pleiotropic, such that a positive influence on one dimension of psychopathology may be accompanied by positive or negative effects on others.
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http://dx.doi.org/10.1101/2025.07.11.25331310 | DOI Listing |
Front Psychol
August 2025
School of Psychology, Shenzhen University, Shenzhen, China.
Depression and anxiety, prevalent among adolescents, show higher rates in females than males. However, little is known about symptom-level interactions and gender-specific network characteristics in secondary vocational students. This study adopted network analysis, including Gaussian graph models and directed acyclic graphs, to explore symptom-level relationships between depression and anxiety in secondary vocational students, identifying bridge and core symptoms, potential causation, and gender-specific network characteristics.
View Article and Find Full Text PDFRare copy number variants (CNVs) are a key component of the genetic basis of psychiatric conditions, but have not been well characterized for most. We conducted a genome-wide CNV analysis across six diagnostic categories (N = 574,965): autism (ASD), ADHD, bipolar disorder (BD), major depressive disorder (MDD), PTSD, and schizophrenia (SCZ). We identified 35 genome-wide significant associations at 18 loci, including novel associations in SCZ ( - ) and in the combined cross-disorder analysis ( ).
View Article and Find Full Text PDFJ Affect Disord
August 2025
Changde Hospital, Xiangya School of Medicine, Central South University (The first people's hospital of Changde city), Changde, China. Electronic address:
Background: Schizophrenia, bipolar disorder, and PTSD are prevalent psychiatric conditions with overlapping genetic and environmental risk factors. Current treatments often fall short due to issues like treatment resistance, side effects, and variable patient adherence. This study investigates shared molecular mechanisms and actionable therapeutic targets across these disorders.
View Article and Find Full Text PDFAppl Neuropsychol Child
July 2025
Department of Obstetrics and Gynecology, Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Background: Specific Language Impairment (SLI), increasingly termed Developmental Language Disorder (DLD), affects 7-10% of children worldwide. Despite expanding research, no comprehensive bibliometric analysis has systematically examined this field's evolution.
Methods: We analyzed 4,966 SLI/DLD-related publications (2010-2024) from the Web of Science Core Collection using VOSviewer, CiteSpace, and bibliometrix to assess publication trends, collaboration networks, citation patterns, and research themes.
Transl Psychiatry
July 2025
Institute of Neuroscience and Medicine, Research Centre Jülich, Jülich, Germany.
Neuropsychiatric disorders show shared and distinct neurobiological correlates. A cross-disorder genome-wide association study (GWAS) identified 23 highly pleiotropic single-nucleotide polymorphisms (SNPs) that were associated with at least four neuropsychiatric disorders, and 22 SNPs that were associated predominantly with schizophrenia. Exploring their link to brain-related traits might advance understanding their distinct neurobiological processes.
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