通过基于风险因子的多基因评分,改善了膝关节骨关节炎风险的遗传预测
Yugo Morita1,2, Yoichiro Kamatani2, Hiromu Ito3,4
1Department of Orthopedic Surgery, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Arthritis research & therapy
|June 12, 2023
概括
在日本人的膝关节骨关节炎 (OA) 开发多基因风险评分 (PRS) 显著提高了预测准确性. 这种多特征的PRS利用多种人群数据,为评估不同人群中OA风险提供了一个有前途的工具.
科学领域:
- 遗传学和基因组学 在
- 骨关节炎研究 骨关节炎研究
- 流行病学 流行病学
背景情况:
- 多基因风险评分 (PRS) 分析对于预测疾病风险至关重要,但历史上一直专注于欧洲祖先.
- 在不同人群中评估PRS准确性对于公平的临床应用至关重要.
- 膝关节骨关节炎 (OA) 风险预测需要改进遗传评估工具,特别是在非欧洲队列中.
研究的目的:
- 开发一个准确的遗传风险评分,在日本人口中为膝盖骨关节炎.
- 评估多人群PRS和多特征PRS在膝关节OA预测中的实用性.
- 将PRS与临床风险因素集成为增强膝关节OA风险建模.
主要方法:
- 使用PRS-CS-auto计算的PRS与日本和多种群膝盖OA全基因组关联研究 (GWAS) 总结统计数据.
- 开发了一种使用GWAS (MTAG) 多特征分析的综合PRS,其中包含了与基因相关的风险特征 (例如BMI).
- 评估了纳加哈马队列研究 (n=3,279) 中的PRS性能,并将其整合到风险模型中.
主要成果:
- 来自多种群GWAS的PRS显示与膝关节OA有显著的关联 (p=6.7×10−5,OR=1.19).
- 基于MTAG的多特征PRS显示出更强的关联 (p=5.4×10−7,OR=1.24).
- 整合多特征PRS改善了膝盖OA预测的准确性 (AUC从74.4%到74.7%,p=0.029).
结论:
- 一个多特征的PRS,利用多人群GWAS数据和MTAG,显著提高了在日本人口中膝盖OA的预测准确度.
- 这种方法可以提高预测,即使在相同祖先的小GWAS样本大小.
- 这是第一个在非欧洲人口中证明PRS和膝盖OA之间具有统计学意义的关联的研究.
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