多基因风险评分和临床因素预测发生的异常性肺动脉高血压
Song Hu1, Jiang-Shan Tan1, Shengsong Zhu1
1State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China.
Respiratory medicine
|October 8, 2025
概括
结合多基因风险评分 (PRS) 和临床数据的新预测模型有效地识别出具有异常性肺动脉高血压 (IPAH) 高风险的个体. 这种工具有助于IPAH的早期检测和个性化干预.
科学领域:
- 遗传学 遗传学 是一个
- 心脏病学 心脏病学
- 流行病学 流行病学
背景情况:
- 异常性肺动脉高血压 (IPAH) 是一种严重的疾病,需要及早识别.
- 开发准确的预测模型对于主动管理至关重要.
研究的目的:
- 为事件IPAH创建一个全面的预测模型.
- 将多基因风险评分 (PRS) 与临床因素相结合,以提高风险预测.
主要方法:
- 使用欧洲全基因组关联研究数据构建了一个PRS,并在英国生物银行验证.
- 开发了考克斯的比例危险模型,通过最小绝对收缩和选择操作员将选定变量纳入其中.
- 使用了316,073名参与者的大量队列,不包括基线IPAH病例.
主要成果:
- 较高的PRS层与增加的IPAH风险相关 (P趋势=0.0035).
- 高PRS与38.5%的风险增加有关 (OR:1.385).
- 综合模型实现了0.803 (培训) 和0.785 (测试) 的C统计,高风险个体显示8.941倍的风险.
结论:
- 综合预测模型准确地识别出具有IPAH高风险的个体.
- 促进早期检测和个性化干预,以减轻疾病风险.
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