Proportions of false-positive rates in genome-wide association analysis are affected by population stratification, and if it is not correctly adjusted, the statistical analysis can produce the large false-negative finding. Therefore various approaches have been proposed to adjust such problems in genome-wide association studies. However, in spite of its importance, a few studies have been conducted in genome-wide single nucleotide polymorphism (SNP)-by-environment interaction studies. In this report, we illustrate in which scenarios can lead to the false-positive rates in association mapping and approach to maintaining the overall type-1 error rate.

中文翻译：

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人口分层对单核苷酸多态性与环境相互作用的影响。

全基因组关联分析中假阳性率的比例受人群分层的影响，如果未正确调整，则统计分析会产生较大的假阴性结果。因此，已经提出了各种方法来调节全基因组关联研究中的此类问题。然而，尽管它很重要，但是在全基因组单核苷酸多态性（SNP）-逐个环境相互作用研究中已经进行了一些研究。在此报告中，我们说明了在哪些情况下会导致关联映射中的假阳性率以及维护总体1类错误率的方法。