IDEAS home Printed from https://ideas.repec.org/a/tsj/stataj/v5y2005i2p141-153.html
   My bibliography  Save this article

Exploratory analysis of single nucleotide polymorphism (SNP) for quantitative traits

Author

Listed:
  • Mario A. Cleves

    (UAMS College of Medicine, Department of Pediatrics)

Abstract

With the decreasing cost and the increasing ability to quickly genotype single nucleotide polymorphisms (SNP) across the human genome, large databases containing possibly hundreds of typed SNPs are becoming common in populationbased studies of quantitative traits. Testing for association between individual SNPs and the quantitative trait is an important first step in the discovery of disease susceptibility SNPs. This task, however, could be time-consuming and tediousifalargenumberofSNPs is involved. In this article, I introduce two new commands designed to facilitate the screening and testing of multiple SNPsfor possible association with quantitative traits. Copyright 2005 by StataCorp LP.

Suggested Citation

  • Mario A. Cleves, 2005. "Exploratory analysis of single nucleotide polymorphism (SNP) for quantitative traits," Stata Journal, StataCorp LP, vol. 5(2), pages 141-153, June.
  • Handle: RePEc:tsj:stataj:v:5:y:2005:i:2:p:141-153
    as

    Download full text from publisher

    File URL: http://www.stata-journal.com/article.html?article=st0083
    Download Restriction: no

    File URL: http://www.stata-journal.com/software/sj5-2/st0083/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mario Cleves, 1999. "Hardy-Weinberg equilibrium test and allele frequency estimation," Stata Technical Bulletin, StataCorp LP, vol. 8(48).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Coren L Apicella & David Cesarini & Magnus Johannesson & Christopher T Dawes & Paul Lichtenstein & Björn Wallace & Jonathan Beauchamp & Lars Westberg, 2010. "No Association between Oxytocin Receptor (OXTR) Gene Polymorphisms and Experimentally Elicited Social Preferences," PLOS ONE, Public Library of Science, vol. 5(6), pages 1-8, June.

    Corrections

    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:5:y:2005:i:2:p:141-153. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum or Lisa Gilmore (email available below). General contact details of provider: http://www.stata-journal.com/ .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.