TATES was developed as a tool to summarize GWAS results across multiple phenotypes in order to obtain a single p-value, while also accounting for the correlations among the phenotypes (van der Sluis et al. 2013). Notable proposed strengths of the TATES method are that it does not assume that a specific genetic model underlies the multiple phenotypes, and it can identify genetic effects that are either phenotype-specific or common among multiple phenotypes.
