基于人类微生物组6个月的时间稳定性的样本大小估计:一个浅浅的枪支元基因组测序分析
Semi Zouiouich1, Yunhu Wan1, Emily Vogtmann1
1Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
概括
估计微生物组研究的样本大小至关重要. 这项研究表明,检测疾病关联需要许多病例,但使用多个样本或更多的对照可以减少这一数字.
科学领域:
- 微生物组研究的研究.
- 流行病学 流行病学
- 统计遗传学 统计遗传学
背景情况:
- 生物因素显著影响人类微生物群.
- 准确的样本大小估计对于强大的人口研究至关重要.
- 了解微生物组的时间稳定性是研究设计的关键.
研究的目的:
- 评估便微生物组在六个月的时间稳定性.
- 估计用于调查微生物组与疾病相关性的病例控制研究所需的样本大小.
- 为设计强大的微生物群流行病学研究提供指导.
主要方法:
- 浅射炮元基因组测序用于分析便微生物组的组成和功能.
- 计算了类内相关系数 (ICC) 来衡量时间变化.
- 对 1:1 和 1:3 匹配的不同显著程度的病例对照研究进行了样本大小计算.
主要成果:
- 便微生物组的多样性和组成显示出可变的时间稳定性 (ICC < 0.6).
- 在1:1匹配研究中,检测1.5的几率比 (OR) 需要1000到5000例.
- 对于低发病率 (15,102例) 和高发病率 (3,527例) 的物种,样本大小需求有很大差异.
结论:
- 在微生物群中检测疾病关联需要大量的病例.
- 使用预诊断样本和增加病例对照匹配可以减少所需病例数量.
- 这些发现将为未来微生物群流行病学研究的设计提供信息.
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