IDEAS home Printed from
   My bibliography  Save this article

Haplotype analysis in population-based association studies


  • A. P. Mander

    () (MRC Biostatistics Unit, Cambridge, UK)


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

    Download full text from publisher

    File URL:
    Download Restriction: no

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Adrian Mander, 2001. "Haplotype frequency estimation using an EM algorithm and log-linearmodeling," Stata Technical Bulletin, StataCorp LP, vol. 10(57).
    Full references (including those not matched with items on IDEAS)


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tsj:stataj:v:1:y:2001:i:1:p:58-75. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum) or (Lisa Gilmore). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.