利用遗传祖先连续信息来对混合种群的PRS进行插值
Yunfeng Ruan1, Rohan Bhukar1,2, Aniruddh Patel1,2,3
1Program in Medical and Population, Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
medRxiv : the preprint server for health sciences
|January 27, 2025
概括
多基因风险评分 (PRS) 的发展对于混合种群来说是有限的. 一种新方法,DiscoDivas,对不同祖先的协调PRS进行插曲,显示可比或更高的准确性,特别是在混合个体.
科学领域:
- 遗传学 遗传学 是一个
- 生物信息学是一种生物信息学.
- 人口遗传学 人口遗传学
背景情况:
- 多基因风险评分 (PRS) 的开发和临床使用受到基因数据集中混合种群代表性不足的阻碍.
- 现有的方法很难为不同的祖先创造公平的PRS.
研究的目的:
- 介绍DiscoDivas,这是一个用于跨越多样化和混合祖先的协调PRS的新型管道.
- 为代表性不足的人群解决PRS发展的局限性.
主要方法:
- 迪斯科迪瓦斯利用来自单个祖先样本的遗传距离和PRS权重来插曲PRS.
- 它将祖先视为连续变量,避免在祖先之间需要不同的模型.
- 与传统的PRS方法相比,DiscoDivas的性能进行了比较.
主要成果:
- 迪斯科迪瓦斯生成了协调的PRS,其准确性与传统方法相比或超过了传统方法.
- 迪斯科迪瓦斯的最大性能优势是在混合个体中观察到的.
- 该方法成功地插入PRS,而不会在不同祖先的模型之间转移.
结论:
- 迪斯科迪瓦斯为多元化和混合人口提供了一种更公平的PRS开发方法.
- 该管道改善了PRS准确性和临床可翻译性,用于代表性不足的群体.
- 将祖先视为连续变量是协调PRS的有效方法.
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