多基因分数捕捉了脂肪-心脏代谢风险因子关系的遗传修饰
Kenneth E Westerman1,2,3, Julie E Gervis2,3,4, Luke J O'Connor5,6
1Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA.
medRxiv : the preprint server for health sciences
|April 29, 2025
概括
这项研究引入了开发多基因分数 (PGS) 的新框架,可以预测个人对干预措施的反应. 相互作用多基因评分 (iPGS) 在识别身体质量指数和心脏代谢风险因素之间的关系中的遗传修饰方面最有效.
科学领域:
- 遗传学和精准医学 遗传学和精准医学
- 心脏代谢风险研究研究
- 生物信息学和统计遗传学
背景情况:
- 精准医学越来越依赖多基因分数 (PGS) 来预测疾病风险和干预反应.
- 在观察数据中检测PGS-by-exposure (PGS×E) 相互作用对于个性化治疗至关重要.
- 与边际PGS (mPGS) 相比,相互作用PGS (iPGS) 和变异PGS (vPGS) 显示了与边际PGS (mPGS) 相比,增强PGS×E检测的潜力.
研究的目的:
- 开发和比较不同类型的PGS用于检测PGS×E相互作用.
- 调查脂肪 (BMI) 和心脏代谢风险因素 (CRFs) 之间的关系的遗传修饰.
- 确定最有效的PGS类型来发现这些遗传相互作用.
主要方法:
- 开发了一个通用的管道,用于创建和比较mPGS,iPGS和vPGS.
- 将管道应用于英国生物银行和我们所有人的队列,分析BMI和20个CRF.
- 使用统计互动分析来检测显著的PGS×BMI关联.
主要成果:
- 在至少一个PGS类型的20个CRF中的16个中发现了显著的PGS×BMI相互作用.
- iPGS在多个CRF中始终确定了BMI相互作用,特别是在ALT等肝功能生物标志物中.
- 在顶部 iPGS decile 中观察到 BMI-ALT 关联的实质性效应修改 (高达 72%) .
结论:
- 该研究为开发和比较PGS×E策略提供了一个强大的框架.
- 遗传因素显著改变了脂肪和心脏代谢风险之间的关系.
- 以响应为重点的PGS,特别是iPGS,对临床适用的精准医学具有前景.
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