Aliev, FazilSalvatore, Jessica E.Agrawal, ArpanaAlmasy, LauraChan, GraceEdenberg, Howard J.Hesselbrock, VictorKuperman, SamuelMeyers, JacquelynDick, Danielle M.2019-07-262019-07-262018-03Aliev, F., Salvatore, J. E., Agrawal, A., Almasy, L., Chan, G., Edenberg, H. J., … Dick, D. M. (2018). A Brief Critique of the TATES Procedure. Behavior genetics, 48(2), 155–167. doi:10.1007/s10519-018-9890-6https://hdl.handle.net/1805/19966The 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.en-USPublisher PolicyComplex traitsMultivariate GWASTATESArticle