A Brief Critique of the TATES Procedure

Fazil Aliev, Jessica E. Salvatore, Arpana Agrawal, Laura Almasy, Grace Chan, Howard J. Edenberg, Victor Hesselbrock, Samuel Kuperman, Jacquelyn Meyers, Danielle M. Dick

Research output: Contribution to journalArticlepeer-review


The 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.

Original languageEnglish
Pages (from-to)155-167
Number of pages13
JournalBehavior genetics
Issue number2
StatePublished - Mar 1 2018


  • Complex traits
  • Multivariate GWAS


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