Many Phenotypes Without Many False Discoveries: Error Controlling Strategies for Multitrait Association Studies.

ABSTRACT: The genetic basis of multiple phenotypes such as gene expression, metabolite levels, or imaging features is often investigated by testing a large collection of hypotheses, probing the existence of association between each of the traits and hundreds of thousands of genotyped variants. Appropriate multiplicity adjustment is crucial to guarantee replicability of findings, and the false discovery rate (FDR) is frequently adopted as a measure of global error. In the interest of interpretability, results are often summarized so that reporting focuses on variants discovered to be associated to some phenotypes. We show that applying FDR-controlling procedures on the entire collection of hypotheses fails to control the rate of false discovery of associated variants as well as the expected value of

SUBMITTER: Peterson CB 

PROVIDER: S-EPMC4738479 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature