SRAT (Dai, Yang, et al. 2017) <doi:10.1111/biom.12643> is a fully rank-based and flexible approach to test for association between a set of genetic variants and an outcome, while accounting for within-family correlation and adjusting for covariates. Comparing to existing methods, SRAT has the advantages of allowing for unknown correlation structures and weaker assumptions about the outcome distribution.