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gap: Genetic Analysis Package

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  • Zhao, Jing Hua

Abstract

A preliminary attempt at collecting tools and utilities for genetic data as an R package called gap is described. Genomewide association is then described as a specific example, linking the work of Risch and Merikangas (1996), Long and Langley (1997) for family-based and population-based studies, and the counterpart for case-cohort design established by Cai and Zeng (2004). Analysis of staged design as outlined by Skol et al. (2006) and associate methods are discussed. The package is flexible, customizable, and should prove useful to researchers especially in its application to genomewide association studies.

Suggested Citation

  • Zhao, Jing Hua, 2007. "gap: Genetic Analysis Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 23(i08).
    • Handle: RePEc:jss:jstsof:v:023:i08
    DOI: http://hdl.handle.net/10.18637/jss.v023.i08
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    References listed on IDEAS

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    1. Burkett, Kelly & Graham, Jinko & McNeney, Brad, 2006. "hapassoc: Software for Likelihood Inference of Trait Associations with SNP Haplotypes and Other Attributes," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 16(i02).
    2. B. Devlin & Kathryn Roeder, 1999. "Genomic Control for Association Studies," Biometrics, The International Biometric Society, vol. 55(4), pages 997-1004, December.
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