Power and Sample Size Calculations for Genetic Association Studies in the Presence of Genetic Model Misspecification.

ABSTRACT:

Introduction

When analyzing data from large-scale genetic association studies, such as targeted or genome-wide resequencing studies, it is common to assume a single genetic model, such as dominant or additive, for all tests of association between a given genetic variant and the phenotype. However, for many variants, the chosen model will result in poor model fit and may lack statistical power due to model misspecification.

Objective

We develop power and sample size calculations for tests of gene and gene × environment interaction, allowing for misspecification of the true mode of genetic susceptibility.

Methods

The power calculations are based on a likelihood ratio test framework and are implemented in an open-source R package ("genpwr").

Results

We use these m

SUBMITTER: Moore CM 

PROVIDER: S-EPMC7666027 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature