(A) The power of the test statistic , the
“fast-epistasis” in PLINK and logistic regression analysis
for testing interaction between two unlinked loci as a function of
traditional odds-ratio under a
two-locus recessiverecessive
disease model, where the number of individuals in both the case and
control groups is 2,000, the significance level is 0.001, and the
odds-ratios at two loci were . (B) The
power of the test statistic , the
“fast-epistasis” in PLINK and logistic regression analysis
for testing interaction between two unlinked loci as a function of
traditional odds-ratio under a
two-locus dominantdominant
disease model, where the number of individuals in both the case and
control groups is 1,000, the significance level is 0.001, and the
odds-ratios at two loci were . (C) The
power of the test statistic , the
“fast-epistasis” in PLINK and logistic regression analysis
for testing interaction between two unlinked loci as a function of
traditional odds-ratio under a
two-locus additiveadditive
disease model, where the number of individuals in both the case and
control groups is 1,000, the significance level is 0.001, and the
odds-ratios at two loci were .