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目的基于核典型相关分析,研究两整体基因的交互作用。方法通过统计模拟实验,在基于群体的病例对照研究中,运用核典型相关分析,构建FTO基因和PRDM16基因交互作用的KCCU统计量,并进行检验与评价。结果 KCCU统计量的检验效能与检验水准、样本含量、最小等位基因频率有关,且两整体基因交互作用量越大时,检验效能越高。当检验水准为0.05,基因频率高于0.05,交互作用OR>1.5,样本量>5000时,KCCU检验效能达0.8以上。结论在大样本高交互研究中,KCCU统计量是一种科学有效的检验整体基因间交互作用的统计推断方法。
Objective To study the interaction between two whole genes based on nuclear canonical correlation analysis. Methods Through the statistical analysis of population-based case-control study, KCCU statistic of interaction between FTO gene and PRDM16 gene was constructed and verified by nuclear typical correlation analysis. Results The test efficiency of KCCU statistic was related to test level, sample content and minimum allele frequency, and the greater the interaction between the two whole genes, the higher the test efficiency. When the test level is 0.05, the frequency of the gene is higher than 0.05, the interaction OR> 1.5 and the sample size> 5000, the KCCU test efficiency reaches 0.8 or above. Conclusions KCCU statistics are a scientifically valid statistical inference method for testing the interaction between whole genes in large sample high-interaction studies.