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Psychiatric disorders converge on common pathways but diverge in cellular context, spatial distribution, and directionality of genetic effects

. 2025 Jul 16 ; () : . [epub] 20250716

Status PubMed-not-MEDLINE Language English Country United States Media electronic

Document type Journal Article, Preprint

Grant support
R01 MH124851 NIMH NIH HHS - United States
R56 MH133899 NIMH NIH HHS - United States
R01 DA054869 NIDA NIH HHS - United States
R01 MH124847 NIMH NIH HHS - United States
R01 MH124873 NIMH NIH HHS - United States
U01 MH109514 NIMH NIH HHS - United States
U01 MH119739 NIMH NIH HHS - United States
R01 MH106595 NIMH NIH HHS - United States
U01 MH119690 NIMH NIH HHS - United States
R01 MH124875 NIMH NIH HHS - United States
R01 MH124871 NIMH NIH HHS - United States
R01 MH124839 NIMH NIH HHS - United States
U01 MH094432 NIMH NIH HHS - United States
U01 MH119746 NIMH NIH HHS - United States

Links

PubMed 40791676
PubMed Central PMC12338884
DOI 10.1101/2025.07.11.25331381
PII: 2025.07.11.25331381
Knihovny.cz E-resources

Psychiatric conditions share common genes, but mechanisms that differentiate diagnoses remain unclear. We present a multidimensional framework for functional analysis of rare copy number variants (CNVs) across 6 diagnostic categories, including schizophrenia (SCZ), autism (ASD), bipolar disorder (BD), depression (MDD), PTSD, and ADHD (N = 574,965). Using gene-set burden analysis (GSBA), we tested duplication (DUP) and deletion (DEL) burden across 2,645 functional gene sets defined by the intersections of pathways, cell types, and cortical regions. While diagnoses converge on shared pathways, mixed-effects modeling revealed divergence of pathway effects by cell type, brain region, and gene dosage. Factor analysis identified latent dimensions aligned with clinical axes. A primary factor (F1) captured reciprocal dose-dependent effects of DUP and DEL in SCZ reflecting positive and negative effects in excitatory versus inhibitory neurons and association versus sensory cortex. SCZ and ASD were both strongly aligned with F1 but with opposing directionalities. Orthogonal factors highlighted neuronal versus non-neuronal effects in mood disorders (F2) and differential spatial distributions of DEL effects in ADHD and MDD (F3). High-impact CNVs at 16p11.2 and 22q11.2 were enriched for combinations of cell-type-specific genes involved in pathways consistent with our broader findings. These results reveal molecular and cellular mechanisms that are broadly shared across psychiatric traits but differ between diagnostic categories in context and directionality.

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