A simulation study investigating power estimates in phenome-wide association studies.

ABSTRACT:

Background

Phenome-wide association studies (PheWAS) are a high-throughput approach to evaluate comprehensive associations between genetic variants and a wide range of phenotypic measures. PheWAS has varying sample sizes for quantitative traits, and variable numbers of cases and controls for binary traits across the many phenotypes of interest, which can affect the statistical power to detect associations. The motivation of this study is to investigate the various parameters which affect the estimation of statistical power in PheWAS, including sample size, case-control ratio, minor allele frequency, and disease penetrance.

Results

We performed a PheWAS simulation study, where we investigated variations in statistical power based on different parameters, such as overall sampl

SUBMITTER: Verma A 

PROVIDER: S-EPMC5885318 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature