INPower

INPower computes the number of susceptibility single nucleotide polymorphisms (SNPs) and assesses the statistical power of future genetic association studies to inform study design and interpretation.

Key Features:

• Susceptibility SNP Computation: Computes and quantifies susceptibility single nucleotide polymorphisms (SNPs) associated with traits or diseases.
• Study Power Assessment: Evaluates statistical power for future genetic studies to determine the ability to detect significant associations.
• Bioconductor integration: Implemented as an R package within Bioconductor to enable interoperability with other Bioconductor packages.

Scientific Applications:

• Study design: Guides design of genetic association studies by providing SNP counts and power estimates.
• Resource allocation: Informs allocation of sample size and experimental resources based on power assessments.
• Reproducibility of genetic findings: Supports reproducibility by quantifying detectable susceptibility SNPs and power constraints.
• Interdisciplinary genomics research: Facilitates collaboration across genomics projects through Bioconductor-compatible outputs.

Methodology:

Implemented in the R statistical programming language and distributed via Bioconductor, with package development subject to Bioconductor's review process and continuous automated testing.