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◆ bioRxiv : the preprint server for biology2026-09-17· genomics

Interrogation of noncoding schizophrenia risk variants using CRISPR-based functional genomics.

Marisa C Hamilton, Julia W Riley, Alexander C Nelson, Boxun Li, Sophie F Dornbaum, Alexias Safi, Xiekui Cui, Ian R Jones, Aaron A Coley, Kevin T Hagy, Ruhi Rai, Alejandro Barrera, Andrew S Allen, Yin Shen, Richard I Sherwood, Michael I Love, Patrick F Sullivan, Charles A Gersbach, Gregory E Crawford

原始摘要(英文原文)· Original abstract
Schizophrenia (SCZ) is a highly heritable complex disorder influenced by coding and noncoding genetic variation. Its genetic causes, particularly those involving noncoding variation, are largely unknown. High-throughput CRISPR screens enable dissection of disease-associated loci and identification of noncoding regulatory elements and variants that modulate gene expression. We screened SCZ GWAS loci linked to genes that are also associated in whole-exome sequencing studies to identify regulatory elements and variants impacting expression of disease-relevant genes. We used CRISPRi paired with HCR-FlowFISH to epigenetically silence 333 putative regulatory elements and measure the downstream effects on gene expression of causal SCZ genes, FAM120A , SV2A , and STAG1 , in iPSCs and iPSC-derived neurons (iNeurons). We identified 78 regulatory elements that significantly alter expression of a SCZ gene, including noncoding enhancers/silencers as well as promoters of genes and lncRNAs. Pooled prime editing screens interrogated noncoding variant influence on gene expression for SCZ-associated variants and uncharacterized common variants from diverse population studies. We find that a common variant in the promoter of SV2A , rs112851681:A>G (MAF = 3.56%, 1000 Genomes) enhances transcriptional activity in iPSCs and iNeurons. These findings show distinct noncoding mechanisms that map within GWAS signals, and provide a path forward for interrogating noncoding regulatory elements and variants in disease loci.
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Interrogation of noncoding schizophrenia risk variants using CRISPR-based functional genomics. — 科研速览 Science Skim