The Association between SNPs and a Quantitative Trait: Power Calculation.
The Association between SNPs and a Quantitative Trait: Power Calculation.
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DOI：
10.20897/ejeph/3925
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发表时间：
2018-01-01
期刊：
影响因子：
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通讯作者：
Abouelenein, Saly
中科院分区：
文献类型：
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作者：
Delongchamp, Robert;Faramawi, Mohammed F;Abouelenein, Saly
具有定量结局的研究的把握度计算需要备择假设下的结局分布信息。研究人员面临的挑战，当他们简洁地指定替代分布在遗传研究，因为权力取决于基因型频率和每个基因型的平均效果。在GWAS中，研究人员评估了数十万个关联;因此，为每个测试指定基因频率和基因效应是不现实的，需要进行一些简化。软件包可用于计算功率，但其中许多软件的灵活性有限，并且/或者可能具有陡峭的学习曲线。在这篇综述中，我们向研究人员和研究生描述了检验数量性状和基因型之间关联的功效计算的要点。此外，我们为他们提供了不同的可用软件包的代码-免费和商业-来计算这个功率。计算可以使用几乎任何计算非中心F分布的累积分布函数的计算机语言进行。
A power calculation for a study with a quantitative outcome requires information on the outcome distribution under the alternative hypothesis. Researchers face challenges when they concisely specify alternative distributions in genetic studies because power depends on genotype frequencies and the average effect of each genotype. In GWAS, investigators evaluate hundreds of thousands of associations; therefore it is unrealistic to specify gene frequencies and gene effects for each test and some simplification is needed. Software packages are available to calculate power, but many of them have limited flexibility and / or may have a steep learning curve. In this review, we describe to researchers and graduate students the essentials of a power calculation for testing for an association between a quantitative trait and genotypes. In addition, we provide them with the codes of the different available software packages-free and commercial-to calculate this power. The calculations can be carried out using virtually any computer language that computes the cumulative distribution function of a non-central F-distribution.