高多基因风险分类的不稳定性和通过整合性评分来减轻风险
Anika Misra1,2, Buu Truong1,2, Sarah M Urbut1,2,3
1Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Nature communications
|February 12, 2025
概括
多基因风险评分 (PRS) 显示不一致的高风险分类. 综合性PRSmix框架 (ChronoAdd) 通过结合多个PRS来提高分类稳定性,提供可靠的高风险个体识别.
科学领域:
- 遗传学和基因组学 在
- 生物信息学是一种生物信息学.
- 个性化医疗是个性化的医疗.
背景情况:
- 多基因风险评分 (PRS) 在医疗保健和商业环境中越来越多地使用.
- 高多基因风险的分类在不同的PRS中可能会有很大的差异.
- 新的方法和不断扩大的全基因组关联研究 (GWAS) 继续改进PRS.
研究的目的:
- 评估三种复杂特征的编目PRS的关联和分类性能.
- 评估高风险个人分类在不同PRS中的一致性.
- 引入和验证PRSmix框架 (ChronoAdd) 以提高PRS集成和分类稳定性.
主要方法:
- 与特征相关的出版物按时间顺序排列 (Pubn) 并确定每个出版物中表现最好的PRS (Best(Pubn).
- 对个别PRS的人口级联想强度和分类性能 (前10%) 的分析.
- 使用PRSmix框架生成ChronoAdd ((Pubn) 评分,整合所有PRS,从出版物到Pubn.
主要成果:
- 个人最佳 (Pub) PRS显示出一致的人口级联想强度,但对高风险个体的分类有很大差异.
- 与个人最佳 (Pubn) 评分相比,ChronoAdd (Pubn) 评分显示出更一致的高风险分类.
- PRSmix框架提供了一种稳定可靠的方法来识别高风险个人.
结论:
- 使用PRSmix的综合评分方法提供了高风险个体的稳定可靠的分类.
- ChronoAdd 框架可以适应新 PRS 随着它们的可用性而被纳入.
- 这种整合性策略有助于更容易地与目前的PRS在临床和商业环境中的实施进行整合.
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