通过基因表达调解多基因喘风险
Rakesh Natarajan1, Brooke Szczesny1, Kanika Kanchan1
1Genomics and Precision Health Section, Laboratory of Allergic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.
在非洲祖先人群中,使用最大的样本大小确定了喘的最佳多基因风险评分 (PRS). 这是一个PRS.
科学领域:
- 遗传学 遗传学 是一个
- 喘研究 喘研究
- 人口遗传学 人口遗传学
背景情况:
- 现有的多原性喘风险评分 (PRS) 在非洲祖先人群中缺乏验证.
- 这限制了对PRS在不同祖先中的适用性的理解.
- 调查非洲祖先个体的PRS表现对于公平的基因组医学至关重要.
研究的目的:
- 为了评估非洲祖先个体发表的喘PRS的表现.
- 确定PRS-喘关联在多大程度上受到临床和基因表达生物标志物的介导.
主要方法:
- 在673名非洲祖先的个人 (CAAPA队列) 中应用了PGS目录中的22个PRS.
- 通过临床生物标志物 (例如,IgE,埃索因菲尔) 和鼻上皮质基因表达的计算调解.
- 定义喘作为医生的诊断;仅限于当前疾病的病例用于基因表达分析.
主要成果:
- 最好的PRS (PGS001782) 是从最大的非洲祖先数据集中获得的.
- PRS对喘的影响显著介导于总IgE (38.8%),特定IgE (38.7%) 和埃索诺菲尔 (7.3%).
- 基因表达调解涉及T2炎症 (21.9%),伤口愈合 (11.9%) 和药物反应 (6.8%) 模块.
结论:
- 以最大的非洲祖先样本规模开发的PRS表现最好.
- 调解分析支持T2炎症,伤口愈合和喘中药物反应的生物途径.
- 这些发现强调了祖先特异性PRS开发对于改善喘预测的重要性.
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