IDEAS home Printed from https://ideas.repec.org/p/bep/ucbbio/1151.html
   My bibliography  Save this paper

Semiparametric Quantitative-Trait-Locus Mapping: I. on Functional Growth Curves

Author

Listed:
  • Ying Chen

    (Division of Biostatistics, School of Public Health, University of California, Berkeley)

  • Rongling Wu

    (Dept. of Statistics, Institute of Food & Agriculture Sciences, University of Florida, Gainesville, FL)

Abstract

The genetic study of certain quantitative traits in growth curves as a function of time has recently been of major scientific interest to explore the developmental evolution processes of biological subjects. Various parametric approaches in the statistical literature have been proposed to study the quantitative-trait-loci (QTL) mapping of the growth curves as multivariate outcomes. In this article, we view the growth curves as functional quantitative traits and propose some semiparametric models to relax the strong parametric assumptions which may not be always practical in reality. Appropriate inference procedures are developed to estimate the parameters of interest which characterise the possible QTLs of the growth curves in the models. Recently developed multiple comparison testing procedures are applied to locate the statistically meaningful QTLs. Numerical examples are presented with simulation studies and analysis of real data.

Suggested Citation

  • Ying Chen & Rongling Wu, 2004. "Semiparametric Quantitative-Trait-Locus Mapping: I. on Functional Growth Curves," U.C. Berkeley Division of Biostatistics Working Paper Series 1151, Berkeley Electronic Press.
    • Handle: RePEc:bep:ucbbio:1151
    Note: oai:bepress.com:ucbbiostat-1151
    as

    Download full text from publisher

    File URL: http://www.bepress.com/cgi/viewcontent.cgi?article=1151&context=ucbbiostat
    Download Restriction: no
    ---><---

    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:bep:ucbbio:1151. 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.

    We have no bibliographic references for this item. You can help adding them by using 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 (email available below). General contact details of provider: http://www.bepress.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.