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A Brief Critique of the TATES Procedure
Authors:Fazil Aliev  Jessica E. Salvatore  Arpana Agrawal  Laura Almasy  Grace Chan  Howard J. Edenberg  Victor Hesselbrock  Samuel Kuperman  Jacquelyn Meyers  Danielle M. Dick
Affiliation:1.Department of Psychology,Virginia Commonwealth University,Richmond,USA;2.Department of Actuarial and Risk Management,Karabuk University,Karabuk,Turkey;3.Virginia Institute for Psychiatric and Behavioral Genetics,Virginia Commonwealth University,Richmond,USA;4.Department of Psychiatry,Washington University School of Medicine,St. Louis,USA;5.Department of Genetics,Texas Biomedical Research Institute,San Antonio,USA;6.Department of Psychiatry,University of Connecticut Health Center,Farmington,USA;7.Department of Biochemistry and Molecular Biology,Indiana University School of Medicine,Indianapolis,USA;8.Division of Child Psychiatry,University of Iowa Hospitals,Iowa City,USA;9.Department of Psychiatry,State University of New York Downstate Medical Center,New York,USA;10.Department of Human & Molecular Genetics,Virginia Commonwealth University,Richmond,USA
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.
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