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.