系统地调查精神分裂症相关常见变异的等位基调调节活性
Jessica C McAfee1,2,3, Sool Lee1,2,4, Jiseok Lee1,2
1Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
研究人员使用大规模并行报告测试 (MPRA) 识别了与精神分裂症风险相关的439种遗传变异. 这种方法揭示了其他方法遗漏的调节变异,为疾病提供了新的见解.
科学领域:
- 遗传学 遗传学 是一个
- 神经科学是一个神经科学.
- 分子生物学分子生物学
背景情况:
- 全基因组关联研究 (GWAS) 已经确定了145个精神分裂症风险区域.
- 联系不平衡使得在这些区域内确定因果变异变得复杂.
- 了解这些变异的调节机制对于精神分裂症研究至关重要.
研究的目的:
- 识别具有对神经细胞基因表达的调节作用的特定遗传变异.
- 评估各种基因组特征的预测能力,以识别监管变异.
- 开发一个模型来预测风险变异对基因调节的组合效应.
主要方法:
- 在5,173个精细映射的精神分裂GWAS变体上进行了大规模并行报告测试 (MPRA).
- 在初级人类神经前细胞中测试了变异效应.
- 开发了一个连接式可访问性模型,集成MPRA数据和染色体架构.
主要成果:
- 确定了439种MPRA阳性变体,显示出基调节效应.
- 发现转录因子结合具有适度的预测能力; 增强剂重叠和保护等其他特征无法预测MPRA阳性变体.
- 观察到64%的MPRA阳性变体缺乏表达定量特征位点 (eQTL) 签名,这表明它们具有新的监管作用.
结论:
- MPRA有效地识别了具有监管潜力的精神分裂症风险变体,包括那些被eQTL分析遗漏的变体.
- 拟议的接触式可访问性模型可以预测这些变体的组合性监管影响.
- 这些发现促进了对精神分裂症遗传基础的理解,并突出了潜在的治疗点.
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