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A Brief Critique of the TATES Procedure
Journal article   Peer reviewed

A Brief Critique of the TATES Procedure

Fazil Aliev, Jessica Salvatore, Arpana Agrawal, Laura Almasy, Grace Chan, Howard Edenberg, Victor Hesselbrock, Samuel Kuperman, Jacquelyn Meyers and Danielle Dick
Behavior genetics, Vol.48(2), pp.155-167
03/2018
DOI: 10.1007/s10519-018-9890-6
PMCID: PMC6028780
PMID: 29468442

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Abstract

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.
Clinical Psychology Health Psychology Psychology Public Health Complex traits Multivariate GWAS TATES

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