To summarize, TATES was developed as a tool to accommodate complex genetic architectures when conducting multivariate GWAS for correlated phenotypes. However, we note that in many--and likely most--cases TATES p-values are not uniformly distributed around 0, which violates the assumption of a “good” statistic and indicates that TATES p-values are prone to systematic inflation. Our analyses suggest that caution is warranted when using the TATES method to combine p-values across correlated phenotypes.
