多基因风险评分在IgA脏病中的临床应用
Linlin Xu1,2,3,4, Ting Gan1,2,3,4, Pei Chen1,2,3,4
1Renal Division, Peking University First Hospital, No. 8, Xishiku Street, Xicheng District, Beijing, 100034 People's Republic of China.
Phenomics (Cham, Switzerland)
|June 17, 2024
概括
在IgA脏病 (IgAN) 中,较高的遗传风险得分 (GRS) 与较早的疾病发病和更差的预后有关. 这种遗传风险评估可以帮助预测Igan风险和分层患者.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 遗传学 是一个遗传学.
- 流行病学 流行病学
背景情况:
- 全基因组关联研究 (GWAS) 已经确定了与IgA脏病 (IgAN) 相关的众多遗传变异.
- 遗传风险评分 (GRS) 通过总结风险等位基因来量化个体的遗传倾向.
- 对Igan风险和预后的多基因风险评分的临床有用性仍然不清楚.
研究的目的:
- 构建和评估IgA病 (IgAN) 的不同遗传风险评分 (GRS) 模型.
- 评估GRS与临床变异性之间的关联,包括诊断时的年龄和预后.
- 探索GRS在预测Igan风险和分层患者中的潜力.
主要方法:
- 使用GWASs的15,21和55个单核酸多态 (SNP) 构建了三种GRS模型.
- 对3365名Igan患者和8842名健康个体进行了病例控制分析.
- 评估了GRS与临床参数和预后在1747名患者的前队列中的相关性.
主要成果:
- 较高的GRS (顶部20%) 与较低的GRS (底部20%) 相比,显著增加Igan风险 (2.42-3.89倍).
- GRS与微血和介质细胞超细胞性正相关,与诊断时的年龄和BMI负相关.
- 在所有模型中,最高20%的GRS患者患病预后较差的风险高1.36-1.42倍.
结论:
- 根据GRS的指标,Igan风险变体的较高负担与早期疾病发作有关.
- 升高的GRS预测Igan患者预后更差的风险更高.
- GRS模型,特别是21-SNP模型,显示了Igan风险预测和患者分层的潜力.
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