University of Waterloo, Waterloo, Ontario, Canada.
Methods Mol Biol. 2021;2212:181-190. doi: 10.1007/978-1-0716-0947-7_12.
If one uses data to identify the most likely epistatic interaction between two genetic units, and then tests if the identified interaction is associated with a phenotype, the nominal statistical evidence will be inflated. Corrections are available but computationally expensive for genome-wide studies. We provide a first-order correction that can be applied in practice with essentially no additional computational cost.
如果使用数据来确定两个遗传单位之间最有可能的上位性相互作用，然后测试所确定的相互作用是否与表型相关联，那么名义上的统计证据将会膨胀。对于全基因组研究，有一些校正方法可用，但计算成本很高。我们提供了一种一阶校正方法，实际上可以在没有额外计算成本的情况下应用。
