Aliev, FazilSalvatore, Jessica E.Agrawal, ArpanaAlmasy, LauraChan, GraceEdenberg, Howard J.Hesselbrock, Victor2024-09-292024-09-2920180001-82441573-3297https://doi.org/10.1007/s10519-018-9890-6https://hdl.handle.net/20.500.14619/3927The Trait-based test that uses the Extended Simes procedure (TATES) was developed as a method for conducting multivariate GWAS for correlated phenotypes whose underlying genetic architecture is complex. In this paper, we provide a brief methodological critique of the TATES method using simulated examples and a mathematical proof. Our simulated examples using correlated phenotypes show that the Type I error rate is higher than expected, and that more TATES p values fall outside of the confidence interval relative to expectation. Thus the method may result in systematic inflation when used with correlated phenotypes. In a mathematical proof we further demonstrate that the distribution of TATES p values deviates from expectation in a manner indicative of inflation. Our findings indicate the need for caution when using TATES for multivariate GWAS of correlated phenotypes.eninfo:eu-repo/semantics/openAccessMultivariate GWASComplex traitsTATESArticle10.1007/s10519-018-9890-62-s2.0-85042230410167229468442Q115548WOS:000426557700006Q2