蛋白质和多基因风险评分的大规模评估揭示了对发生疾病预测的互补贡献
Jakob Woerner1, Thomas M Westbrook1, Jaehyun Joo1
1Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
medRxiv : the preprint server for health sciences
|July 17, 2025
概括
血蛋白质组风险评分 (ProRS) 在预测许多疾病风险方面明显优于遗传风险评分 (PRS). ProRS提供动态,时间响应的洞察力,改善早期疾病检测.
科学领域:
- 生物标志物 生物标志物
- 蛋白质组学是指蛋白质组学.
- 基因组学就是基因组学.
- 疾病预测 疾病预测
背景情况:
- 血蛋白反映动态的生理状态,为疾病风险评估提供比静态遗传预测因素的潜在优势.
- 现有的多基因风险评分 (PRS) 提供了宝贵的遗传洞察力,但可能无法捕捉实时的生物变化.
研究的目的:
- 评估蛋白质性风险评分 (ProRS) 与多基因风险评分 (PRS) 的预测性能,用于广泛的表型.
- 评估ProRS能够预测发生疾病及其与诊断的时间关系的能力.
主要方法:
- 在英国生物银行药物蛋白质学项目 (39,843名参与者) 中接受了流行病例的ProRS培训,并对事件疾病进行了测试.
- 基准的ProRS与PRS来自301种表型的全基因组关联研究.
- 在宾夕法尼亚医学生物银行进行了外部验证 (841名参与者).
主要成果:
- 在268个信息表现型中,ProRS在88%的表现优于PRS,C指数的中位数改善为9.6%.
- 对于循环,代谢和免疫相关疾病,预测收益最为显著.
- 纵向分析显示,在临床诊断前几年,ProRS升高,外部验证证实了性能和可转移性.
结论:
- 与单独的遗传数据相比,等离子体蛋白质基因分析提供了补充的,时间响应的信息,可以增强个人层面的疾病预测.
- ProRS是改善早期疾病检测和风险分层的有希望的工具.
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