Standard linear regression is commonly used for genetic association studies of quantitative traits.This approach may not be appropriate if the trait, on its original or transformed scales, does not follow a normal distribution.A rank-based nonparametric approach that does not rely on any distributional assumptions can be an attractive alternative.