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.
Original language | English (US) |
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Pages (from-to) | 155-167 |
Number of pages | 13 |
Journal | Behavior Genetics |
Volume | 48 |
Issue number | 2 |
DOIs | |
State | Published - Mar 1 2018 |
Externally published | Yes |
Keywords
- Complex traits
- Multivariate GWAS
- TATES
ASJC Scopus subject areas
- Ecology, Evolution, Behavior and Systematics
- Genetics
- Genetics(clinical)