Comparison of single-marker and multi-marker tests in rare variant association studies of quantitative traits.

ABSTRACT: In genetic association studies of rare variants, low statistical power and potential violations of established estimator properties are among the main challenges of association tests. Multi-marker tests (MMTs) have been proposed to target these challenges, but any comparison with single-marker tests (SMTs) has to consider that their aim is to identify causal genomic regions instead of variants. Valid power comparisons have been performed for the analysis of binary traits indicating that MMTs have higher power, but there is a lack of conclusive studies for quantitative traits. The aim of our study was therefore to fairly compare SMTs and MMTs in their empirical power to identify the same causal loci associated with a quantitative trait. The results of extensive simulation studies indicate t

SUBMITTER: Konigorski S 

PROVIDER: S-EPMC5451057 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature