Detection and analysis of complex structural variation in human genomes across populations and in brains of donors with psychiatric disorders

Cell. 2024 Nov 14;187(23):6687-6706.e25. doi: 10.1016/j.cell.2024.09.014. Epub 2024 Sep 30.

Abstract

Complex structural variations (cxSVs) are often overlooked in genome analyses due to detection challenges. We developed ARC-SV, a probabilistic and machine-learning-based method that enables accurate detection and reconstruction of cxSVs from standard datasets. By applying ARC-SV across 4,262 genomes representing all continental populations, we identified cxSVs as a significant source of natural human genetic variation. Rare cxSVs have a propensity to occur in neural genes and loci that underwent rapid human-specific evolution, including those regulating corticogenesis. By performing single-nucleus multiomics in postmortem brains, we discovered cxSVs associated with differential gene expression and chromatin accessibility across various brain regions and cell types. Additionally, cxSVs detected in brains of psychiatric cases are enriched for linkage with psychiatric GWAS risk alleles detected in the same brains. Furthermore, our analysis revealed significantly decreased brain-region- and cell-type-specific expression of cxSV genes, specifically for psychiatric cases, implicating cxSVs in the molecular etiology of major neuropsychiatric disorders.

Keywords: ARC-SV; GTEx; PsychENCODE; complex structural variation; cxSVs; human evolution; population genetics; psychiatric genetics; single-cell multiomics; structural variation.

MeSH terms

  • Brain* / metabolism
  • Chromatin / genetics
  • Chromatin / metabolism
  • Genetic Variation
  • Genome, Human*
  • Genome-Wide Association Study
  • Genomic Structural Variation
  • Humans
  • Machine Learning
  • Mental Disorders* / genetics
  • Tissue Donors

Substances

  • Chromatin