预期多基因风险评分 (ePRS) 框架:通过对祖先构成的建模来量化多基因风险的公平度量
Yu-Jyun Huang1,2, Nuzulul Kurniansyah3, Matthew O Goodman1,3
1Department of Medicine, Harvard Medical School, Boston, MA, USA.
medRxiv : the preprint server for health sciences
|January 7, 2025
概括
多基因风险评分 (PRSs) 可能会因遗传祖先而产生偏见. 一个新的框架使用祖先构成对PRS进行校准,确保在多样化的人口中进行公平的遗传风险评估.
科学领域:
- 遗传学 遗传学 是一个
- 人口遗传学 人口遗传学
- 统计遗传学 统计遗传学
背景情况:
- 多基因风险评分 (PRSs) 对于遗传风险预测至关重要.
- 祖先种群之间的基因基因频率差异在PRS中引入了偏差.
- 这就需要在不同群体中提供公平的PRS应用方法.
研究的目的:
- 提出一种基于个体祖先构成的PRS校准的新框架.
- 引入预期的PRS (ePRS) 和剩余的PRS (rPRS) 度量用于偏差校正.
- 确保在不同人群中进行公平的遗传风险量化.
主要方法:
- 定义ePRS为基于全球/本地混合的预期PRS值.
- 将rPRS定义为PRS与ePRS的偏差.
- 通过模拟研究和真实世界的数据集 (TOPMed,我们所有人) 验证了框架.
主要成果:
- 对ePRS进行调整后,可以得到几乎无偏见的PRS结果关联估计.
- rPRS效果大小调整为ePRS镜子PRS调整为遗传主要组件 (PC).
- 在TOPMed和All of Us数据集中,心血管特征的结果一致.
结论:
- 在PRS分析中,ePRS框架有效地纠正了人口分层.
- 这种方法为量化不同人群中的遗传风险提供了一个公平的策略.
- 促进多基因风险评分的更广泛,更公平的实施.
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