一个关于p值多重测试调整的注释,用于两步全基因组基因环境相互作用扫描
Juan Pablo Lewinger1, Eric S Kawaguchi1, W James Gauderman1
1Department of Population and Public Health Sciences, University of Southern California.
medRxiv : the preprint server for health sciences
|July 10, 2023
概括
全基因组相互作用扫描 (GWIS) 的两步测试是有效的,但缺乏可比的p值. 这项研究为两步测试引入了有效的,缩放的p值,允许直接比较单步结果.
科学领域:
- 遗传学 遗传学 是一个
- 统计遗传学 统计遗传学
- 生物信息学是一种生物信息学.
背景情况:
- 全基因组相互作用扫描 (GWIS) 对于识别遗传相互作用至关重要.
- 两步测试是GWIS的计算效率最先进的方法,比单步方法提供更高的功率.
- 两步测试的一个主要局限性是没有有效的p值可以直接与单步结果进行比较,这阻碍了解释.
结论:
- 开发的方法解决了p值可比性问题,采用两步GWIS.
- 这有助于更直接地解释和整合来自不同GWIS方法的结果.
- 这些发现增强了两步测试在遗传研究中的实用性.
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