研究设计和有害的罕见变体在生物库规模数据集中的采样
Margaret C Steiner1, Daniel P Rice2,3, Arjun Biddanda4
1Department of Human Genetics, University of Chicago, Chicago, IL 60637.
概括
在人口遗传学中,地理范围广泛的采样增加了罕见变异的发现,但降低了它们的检测频率. 这影响了对疾病关联和负选择的研究,特别是在大型生物库中.
科学领域:
- 人口遗传学 人口遗传学
- 基因组研究设计设计
- 进化生物学 进化生物学
背景情况:
- 样本的地理范围是种群遗传学研究设计的关键因素.
- 地理采样范围对罕见,有害变异的观察的影响尚不清楚.
- 了解这种影响对于遗传数据的生物医学和进化应用至关重要.
研究的目的:
- 调查采样的地理广度如何影响负面选择变异的发现.
- 了解样本设计对确定遗传变异的影响.
- 为基因研究提供最佳策略的信息,特别是在生物银行规模.
主要方法:
- 构建一个包含分散,遗传漂移,选择,突变和地理集中采样的随机模型.
- 使用模型分析地理采样宽度对负选择变异的影响.
- 通过人口遗传模拟和经验分析验证英国生物库数据.
主要成果:
- 与狭窄的抽样相比,更广泛的地理抽样增加了发现变异的数量 ("发现").
- 在广泛的样本中,变异在较低的平均频率上被检测出来,这种现象被称为"稀释" (例如,作为单元).
- 这些发现和稀释效应随着更大的样本大小和更强的健身效应而放大.
结论:
- 地理广度对罕见的,有害的变种的检测和频率有重大影响.
- 这些发现对于将大效应的罕见变异与表型联系在一起的研究以及推断负面选择的研究至关重要.
- 强调在设计遗传研究,特别是大规模生物银行计划时考虑地理广度的重要性.
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