gap: Genetic Analysis Package for Population and Family Data

gap (Genetic Analysis Package) is an integrated R package for genetic data analysis, first reported by Jing Hua Zhao in 2007. It contains functions for sample size calculations, probability of familial disease aggregation, kinship calculation, and linkage and association analysis involving genetic markers. The package has been developed over years in conjunction with various research projects.

Use Cases

• Calculate sample sizes for population-based and family-based study designs.
• Analyze probability of familial disease aggregation within pedigrees.
• Perform kinship calculations for relationship inference.
• Conduct association analysis with genetic markers, including haplotype analysis.
• Perform statistical analysis for genetic linkage studies.

Strengths

• Integrated package designed for both population and family-based genetic data analysis.
• Includes functions for multiple analysis types, as described in the original 2007 publication.
• Developed in conjunction with real research projects over years.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and data scale are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Jing Hua Zhao, as reported in the Journal of Statistical Software.

Collection Method

Developed as an integrated software package for genetic analysis.

Time Range

Initial publication in 2007; development continued over subsequent years.

Freshness

Last updated date is unknown.

Geography

Spatial coverage is not specified.