A Brief Critique of the TATES Procedure.
- Authors
- Aliev, Fazil; Salvatore, Jessica E; Agrawal, Arpana; Almasy, Laura; Chan, Grace; Edenberg, Howard J; Hesselbrock, Victor; Kuperman, Samuel; Meyers, Jacquelyn; Dick, Danielle M
- Year
- 2018
- Journal
- Behavior genetics
- PMID
- 29468442
- DOI
- 10.1007/s10519-018-9890-6
- PMCID
- PMC6028780
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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| Name | Type |
|---|---|
| effective phenotypes local | phenotype |
| GWAS | cohort |
| normal phenotypes local | phenotype |
| Pheno 1 local | phenotype |
| Pheno m local | phenotype |
| phenotype | phenotype |
| phenotype 1 | phenotype |
| phenotype 2 | phenotype |
| phenotype 3 | phenotype |
| Simes test local | drug |
| Simulation cohort (1000 individuals) local | cohort |
| SNP | cohort |
| SNP set (1050 variants) local | variant |
| TATES local | drug |
| TATES statistic local | drug |
| z1 local | drug |
| z2 local | drug |
| z3 local | drug |
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