of trillions of statistical tests! Methods are being developed to prioritize SNPs for exploring interaction effects using statistical learning algorithms (Lubke et al., 2013). Nevertheless, the computational burden is significant, and accommodating the family structure of our sample may not always be simple. Although some nonadditive effects may be important, additive effects comprise the most obvious initial candidate to explore, which we have done comprehensively.
