血蛋白质组的全转录组关联研究揭示了复杂特征背后的 cis 和 trans 调节机制
Henry Wittich1, Kristin Ardlie2, Kent D Taylor3
1Program in Bioinformatics, Loyola University Chicago, Chicago, IL 60660, USA.
American journal of human genetics
|February 6, 2024
概括
这项研究将基因表达与血蛋白水平联系起来,识别出 cis 和 trans 作用的基因. 基因调节的基因表达更好地预测蛋白质水平,有助于复杂的特征分析.
科学领域:
- 基因组学就是基因组学.
- 蛋白质组学是指蛋白质组学.
- 系统生物学 系统生物学
背景情况:
- 遗传变异通过转录和翻译调节影响复杂的特征.
- 表达量的特征位点 (eQTL) 研究成功地识别了cis-acting,但与trans-acting eQTLs斗争.
- 了解蛋白质水平的基因调节对于复杂的特征遗传学至关重要.
研究的目的:
- 为了确定调节血蛋白水平的cis和trans作用基因.
- 在关联研究中评估预测基因表达的有用性.
- 探索与蛋白质丰富性相关的基因表达的遗传成分.
主要方法:
- 利用 49 个基因型-组织表达 (GTEx) 项目组织的转录组预测模型.
- 测试了对3,301名INTERVAL研究人员的3,622个血蛋白水平进行预测的cis基因表达.
- 在971名来自Trans-omics for Precision Medicine (TOPMed) 动脉样硬化多民族研究 (MESA) 的个人中复制了显著的关联.
主要成果:
- 在TOPMed中复制的1,168个cis-和1,210个trans-acting协会被确定 (FDR<0.05).
- 获得了0.806的cis-和0.390的跨关联的中位数真正阳性率 (π1).
- 发现预测和蛋白质水平 (R=0.17) 之间的相关性比观察到的表达 (R=0.10) 高.
- 对转录因子结合部位和自身免疫性疾病进行了丰富的转录作用基因标.
结论:
- 基因表达的cis作用,遗传成分在整个组织中比总表达更一致.
- 预测基因表达是揭示与复杂特征相关的SNP功能的一个有价值的工具.
- 这种方法增强了对蛋白质丰度和复杂特征的遗传调节者的识别.
关键词:
在TWAS中,TWAS就是TWAS.自身免疫性疾病 自身免疫性疾病在 cis-eQTL 中.基因表达的基因表达方式遗传预测 遗传预测遗传性 遗传性 遗传性血蛋白质组中的血蛋白质组通过 trans-eQTL.转录因子是一种转录因子.更多相关视频
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