Ji Lei, Huang Bojian, Ren Decheng, Wei Xiaoxi, Liu Liangjie, Bi Yan, Li Zhiqiang, Yuan Fan, Han Ke, Li Keyi, Yang Fengping, Li Xingwang, Yu Tao, Shi Yi, He Lin, Lu Qing, He Guang
Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, Shanghai, China.
The Collaborative Innovation Center for Brain Science, and Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China.
CNS Neurosci Ther. 2025 Mar;31(3):e70275. doi: 10.1111/cns.70275.
The challenges in identifying functional variants from genome-wide association studies (GWAS) and unraveling regulatory mechanisms in schizophrenia research persist, particularly in intronic regions. A non-coding regulatory variant, rs1399178, associated with schizophrenia risk, is identified and its impact on NRF1 binding is investigated.
This study focuses on schizophrenia GWAS risk loci, using functional genomics, expression analyses and structural analysis to identify 736 schizophrenia risk single-nucleotide polymorphisms (SNPs) that disrupt transcription factor (TF) binding.
Among these SNPs, rs1399178 stands out as a bifunctional intergenic SNP that can switch between acting as a promoter and an enhancer, potentially influencing MLH1 and LRRFIP2 expression via expression quantitative trait loci analysis. Importantly, mutation of the G allele of rs1399178 to A significantly diminishes its binding affinity to nuclear respiratory factor 1 (NRF1). Structural analysis provides further insight into this alteration in the protein-nucleic acid complex formation.
Based on our data, a model is proposed in which rs1399178 confers schizophrenia risk by modifying NRF1 binding profiles, thereby regulating the abundance of target genes through promoter-enhancer switching. This study provides novel insights into the regulatory mechanisms of schizophrenia risk variants, highlighting the intricate nature of genetic interactions and potential therapeutic targets.
在精神分裂症研究中,从全基因组关联研究(GWAS)中识别功能变异以及阐明调控机制仍然面临挑战,尤其是在内含子区域。我们鉴定了一个与精神分裂症风险相关的非编码调控变异rs1399178,并研究了其对核呼吸因子1(NRF1)结合的影响。
本研究聚焦于精神分裂症GWAS风险位点,运用功能基因组学、表达分析和结构分析来识别736个破坏转录因子(TF)结合的精神分裂症风险单核苷酸多态性(SNP)。
在这些SNP中,rs1399178是一个双功能基因间SNP,可在启动子和增强子功能之间切换,通过表达数量性状位点分析可能影响MLH1和LRRFIP2的表达。重要的是,rs1399178的G等位基因突变突变为A会显著降低其与核呼吸因子1(NRF1)的结合亲和力。结构分析为蛋白质 - 核酸复合物形成中的这种变化提供了进一步的见解。
基于我们的数据,提出了一个模型,其中rs1399178通过改变NRF1结合模式赋予精神分裂症风险,从而通过启动子 - 增强子切换调节靶基因的丰度。本研究为精神分裂症风险变异的调控机制提供了新的见解,突出了基因相互作用的复杂性和潜在的治疗靶点。