Power analysis and sample size estimation for sequence-based association studies.

ABSTRACT:

Motivation

Statistical methods have been developed to test for complex trait rare variant (RV) associations, in which variants are aggregated across a region, which is typically a gene. Power analysis and sample size estimation for sequence-based RV association studies are challenging because of the necessity to realistically model the underlying allelic architecture of complex diseases within a suitable analytical framework to assess the performance of a variety of RV association methods in an unbiased manner.

Summary

We developed SEQPower, a software package to perform statistical power analysis for sequence-based association data under a variety of genetic variant and disease phenotype models. It aids epidemiologists in determining the best study design, sample size and s

SUBMITTER: Wang GT 

PROVIDER: S-EPMC4133582 | biostudies-literature | 2014 Aug

REPOSITORIES: biostudies-literature