在基于生物库的G×E测试中,选择表型尺度至关重要
bioRxiv : the preprint server for biology
|February 6, 2026
概括
现型缩放对于理解基因与环境相互作用 (G×E) 是至关重要的. 调整尺度可以揭示对复杂特征的生物学显著遗传影响,影响全基因组关联研究 (GWAS) 和多基因分数.
科学领域:
- 人类遗传学 人类遗传学
- 统计遗传学 统计遗传学
- 复杂的特征分析分析.
背景情况:
- 对于复杂的人类特征,基因与环境的相互作用 (G×E) 正在争论中.
- 全基因组关联研究 (GWAS) 发现了许多G×E信号,但生物学意义往往不清楚.
研究的目的:
- 解释G×E发现中的统计意义和生物意义之间的差异.
- 调查表型缩放对G×E分析的影响.
主要方法:
- 对英国生物库中32种表型的G×E效应的分析.
- 对表型数据应用功率转换,包括日志转换.
- 在不同的表型尺度上对G×E信号的评估.
主要成果:
- 许多G×E信号在不同的表型尺度上简化为添加效应.
- 日志转换揭示了对丸激素G×Sex具有生物学意义的女性特异性影响.
- 表型缩放解释了46%的多基因得分×性互动和23%的G×性互动.
结论:
- 现型尺度是G×E研究中一个关键的,被低估的因素.
- 适当的表型缩放可以改善GWAS发现和多基因分数的发展.
- 提供了在遗传研究中选择表型尺度的指导方针.
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