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Haplotype analysis in population-based association studies

Author

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  • A. P. Mander

    (MRC Biostatistics Unit, Cambridge, UK)

Abstract

This paper describes how to use the command hapipf and introduces the command profhap written for Stata that analyzes population-based genetic data. For these studies, association can be linkage disequilibrium within a set of loci or allelic/haplotype association with disease status. Confidence intervals for odds ratios are calculated with or without adjustment for possible factors that are confounding the relationship. Additionally, this command allows the specification of many models of association that are not widely implemented. Copyright 2001 by Stata Corporation.

Suggested Citation

  • A. P. Mander, 2001. "Haplotype analysis in population-based association studies," Stata Journal, StataCorp LP, vol. 1(1), pages 58-75, November.
    • Handle: RePEc:tsj:stataj:v:1:y:2001:i:1:p:58-75
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    References listed on IDEAS

    as
    1. Adrian Mander, 2001. "Haplotype frequency estimation using an EM algorithm and log-linearmodeling," Stata Technical Bulletin, StataCorp LP, vol. 10(57).
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    Cited by:

    1. Yulia V. Marchenko & Raymond K. Carroll & Danyu Y. Lin & Christopher I. Amos & Roberto G. Gutierrez, 2008. "Semiparametric analysis of case–control genetic data in the presence of environmental factors," Stata Journal, StataCorp LP, vol. 8(3), pages 305-333, September.

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