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高维基因环境相互作用分析
Mengyun Wu1, Yingmeng Li1, Shuangge Ma2
1School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, China.
Annual review of statistics and its application
|August 29, 2025
概括
基因与环境的相互作用对于复杂的疾病至关重要. 本综述涵盖了分析这些基因与环境相互作用的统计方法,有助于研究疾病的发展.
科学领域:
- 遗传学
- 环境健康
- 生物统计学
背景情况:
- 复杂的疾病是由遗传和环境因素引起的,基因与环境 (G-E) 相互作用起着重要作用.
- 目前的GE相互作用分析通常使用与疾病相关的遗传和环境因素的监督框架.
- 需要一个统计角度来审查G-E相互作用分析的方法进步.
研究的目的:
- 提供基因与环境相互作用分析的统计方法的选择性审查.
- 分类和讨论在GE相互作用研究中使用的主要框架和技术.
- 突出在各种研究场景中应用这些方法的考虑因素.
主要方法:
- 对假设测试,变量选择和尺寸缩小技术的审查.
- 基于测试,基于估计和基于预测的分析框架的讨论.
- 线性/非线性,固定/随机效应,边际/联合和贝叶斯/频率分析的探索.
主要成果:
- 确定了三个主要的统计框架:基于测试,基于估计和基于预测.
- 详述了各种分析方法,包括线性/非线性和贝叶斯式/频率主义方法.
- 突出统计属性,计算方面,以及G-E交互方法的实际应用.
结论:
- 分析基因与环境相互作用的方法存在多样性,满足不同的研究目标.
- 这一审查有助于适当地应用G-E相互作用分析的统计技术.
- 概述了统计G-E相互作用分析的未来研究方向.
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