多个祖先的全基因组关联元分析确定了新的关联,并为希尔施普朗格病的遗传风险预测提供了信息
Yuanxin Zhong1, Man-Ting So2, Zuyi Ma2
1Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region of China.
EBioMedicine
|April 4, 2025
概括
这项研究确定了Hirschsprung病 (HSCR) 的新遗传因素,这是一种影响肠道的先天性疾病. 一种通用风险预测模型显示了在不同人群中临床使用的潜力.
科学领域:
- 遗传学 是一个遗传学.
- 发展生物学 发展生物学
- 胃肠病学 胃肠病学
背景情况:
- 赫施普隆病 (Hirschsprung disease,HSCR) 是一种罕见的先天性疾病,由于缺少肠道质,影响后肠内化.
- 遗传因素对HSCR遗传性有很大影响,但以前只知道一些相关的位点.
- 全基因组关联研究 (GWAS) 已经有限地确定了与HSCR相关的遗传位点.
研究的目的:
- 通过大规模的元分析,通过大规模的元分析来识别与希尔施普隆病相关的新型遗传位点.
- 通过功能研究,研究候选基因在肠道神经系统 (ENS) 发育中的作用.
- 开发和评估多基因风险评分 (PRS) 以跨不同祖先的HSCR风险预测.
主要方法:
- 进行了对GWAS的最大的多祖先元分析,包括1250例和7140例对照.
- 利用人类和小鼠肠道的单细胞转录组学来分析ENS发育中的候选基因角色.
- 在人类细胞和斑马鱼模型中进行功能表征,并衍生出全球和祖先匹配的PRS模型.
主要成果:
- 确定了四个HSCR敏感度位点,其中JAG1,HAND2和ZNF25达到全基因组显著性.
- 在ENS发育过程中发现了时空基因失调热点.
- 证明候选基因淘汰会损害细胞迁移,斑马鱼淘汰会表现出异常的ENS发育.
- 展示了多祖先PRS模型与祖先匹配模型用于HSCR风险预测的可比性能.
结论:
- 这项研究涉及HSCR的遗传基础中的新基因,途径和发育热点.
- 一个普遍适用的PRS,不论血统如何,在HSCR风险预测中具有增强的临床实用性的潜力.
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