SEQPower

SEQPower performs power analysis and sample size estimation for sequence-based rare variant (RV) association studies by modeling the allelic architecture of complex diseases.


Key Features:

  • Power Analysis and Sample Size Estimation: Performs power analysis and sample size estimation for sequence-based rare variant (RV) association studies by modeling allelic architectures of complex diseases.
  • Diverse Genetic and Phenotypic Models: Supports a variety of genetic variant models and disease phenotype frameworks to simulate different allelic and phenotypic scenarios.
  • Study Design Optimization: Enables selection of sample sizes and statistical tests tailored to sequence-based association studies to optimize study design.
  • Comparison and Validation Platform: Provides a platform to compare, validate, and assess novel and existing rare variant (RV) association methods fairly within genetic epidemiology.

Scientific Applications:

  • Genetic Epidemiology: Designing and powering sequence-based rare variant association studies to investigate the genetic basis of complex traits and diseases involving rare variants and disease phenotypes.

Methodology:

Uses advanced statistical methods to model allelic architecture and simulates genetic and phenotypic scenarios to evaluate the performance of different RV association methods.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Linux, Mac
Programming Languages:
C++, Python
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

Wang GT, Li B, Lyn Santos-Cortez RP, Peng B, Leal SM. Power analysis and sample size estimation for sequence-based association studies. Bioinformatics. 2014;30(16):2377-2378. doi:10.1093/bioinformatics/btu296. PMID:24778108. PMCID:PMC4133582.

Documentation

Links