美国印第安人成年人心脏代谢风险因素的多基因评分
Quan Sun1,2, Jiawen Du1, Yihan Tang1
1Department of Biostatistics, University of North Carolina at Chapel Hill.
JAMA network open
|March 12, 2025
概括
美国印第安人成年人脂质特征的多基因评分显示,在预测糖尿病风险方面有小但显著的改善. 祖先匹配的数据增强了预测,突出了遗传研究中需要多样化的人口的需要.
科学领域:
- 遗传学 是一个遗传学.
- 心血管疾病流行病学
- 精准医学是一门精准的医学.
背景情况:
- 美国印第安人种群在遗传研究中仍然代表性不足.
- 多基因分数 (PS) 已被提议用于临床使用,但它们在美洲印第安人的表现尚不清楚.
- 这项研究探讨了PS在这个代表性不足的群体中对心脏代谢风险的有用性.
研究的目的:
- 为了评估脂质特征和C-反应蛋白 (CRP) 的多基因评分表现,在美国印第安人成年人中.
- 确定PS是否能改善该人群中心脏代谢疾病的临床预测.
- 评估祖先匹配数据对PS预测的影响.
主要方法:
- 利用来自强心研究 (SHS) 美国印第安人队伍的数据.
- 集成的外部全基因组关联研究 (GWAS) 数据 (欧洲和多祖先).
- 为6个心脏代谢风险因素构建和评估了8个多基因评分,包括脂质和CRP.
主要成果:
- 欧洲的PS表现中等 (R2=5.0%).
- 添加祖先匹配的美国印第安人GWAS数据改善了6个特征中的5个特征的PS预测 (R2=7.6%).
- 当添加到临床风险因素 (AUC改善0.86%) 时,脂质PS改善了糖尿病预测.
结论:
- 脂质特征的多基因评分可以适度地改善美国印第安人糖尿病预测.
- 祖先匹配的数据对于提高代表性不足的人口中的PS准确性至关重要.
- 解决PS的可转移性对于防止健康差异和推进精准医学至关重要.
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