Special Feature

User Panel

My Panel

My Panel

Bookmark Science Articles

Recent News
Bookmark / Share This Science Site

An efficient family-based association test using multiple markers.

An efficient family-based association test using multiple markers. Research Abstract Details 

Research Abstract Table of Contents

Jump to the:

  • Abstract Text of This Paper
  • Journal Published
  • MeSH Keywords of This Abstract
  • Chemicals and Substances Used in this Paper
  • Grants and Granting Agency of this Research
  • Database Accession Numbers Used in this Paper
  • Related Papers
  • Related Research Tags
  • Rate this Research Paper
  • An efficient family-based association test using multiple markers. Abstract Text:

    xin xuXin Xu,cyril rakovskiCyril Rakovski,xiping xuXiping Xu,nan lairdNan Laird,

    In genetic association studies, multiple markers are usually employed to cover a genomic region of interest for localizing a trait locus. In this report, we propose a novel multi-marker family-based association test (T(LC)) that linearly combines the single-marker test statistics using data-driven weights. We examine the type-I error rate in a numerical study and compare its power to identify a common trait locus using tag single nucleotide polymorphisms (SNPs) within the same haplotype block that the trait locus resides with three competing tests including a global haplotype test (T(H)), a multi-marker test similar to the Hotelling-T(2) test for the population-based data (T(MM)), and a single-marker test with Bonferroni's correction for multiple testing (T(B)). The type-I error rate of T(LC) is well maintained in our numeric study. In all the scenarios we examined, T(LC) is the most powerful, followed by T(B). T(MM) and T(H) are the poorest. T(H) and T(MM) have essentially the same power when parents are available. However, when both parents are missing, T(MM) is substantially more powerful than T(H). We also apply this new test on a data set from a previous association study on nicotine dependence.

    An efficient family-based association test using multiple markers. Publishing Authors By Initials

    x xuX Xu,c rakovskiC Rakovski,x xuX Xu,n lairdN Laird,

    For similar disorders of environmental origin: substance-related disorders: tobacco use disorder research abstracts see: disorders of environmental origin: substance-related disorders: tobacco use disorder research

    PUBMED ID PMID:

    MEDLINE DATE:

    An efficient family-based association test using multiple markers. Journal Published:

    PUBLICATION TYPE: Research Support, N.I.H., Extr

    Journal: Genetic epidemiology

    VOLUME: 30

    Page Numbers: 620-6

    Journal Abbreviation: Genet. Epidemiol.

    ISSN: 0741-0395

    DAY: 3

    MONTH: Nov

    YEAR: 2006

    An efficient family-based association test using multiple markers. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 8411723

    An efficient family-based association test using multiple markers. Keywords Mesh Terms:

    KEYWORDS: Tobacco Use Disorder

    MESH TERMS: genetics

    Chemical & Substance for Abstract: An efficient family-based association test using multiple markers. Information

    Substance Name: Genetic Markers

    Registry Number: 0

    Grant and Affiliation Information for An efficient family-based association test using multiple markers.

    AFFILIATION: Program for Population Genetics, Harvard School of Public Health, 665 Huntington Avenue, Boston, MA 02115, USA. xin_xu@harvard.edu

    Country: United States

    United States Research PublicationUnited States Research Publication

    AGENCY: United States NIMH

    GRANT: MH 059532

    ACRONYM: MH

    MEDLINETA: Genet Epidemiol

    REFSOURCE:

    DATABASENAME:

    ACCESSION NUMBER:

    Number Hits: 0

    An efficient family-based association test using multiple markers Related Publications

     

    Molecular Station USER Menu

    Welcome to Molecular Station!

    You have to register before you can post on our forums or use our advanced features. Register Now! Its Free and Fast!

    Already registered? Login now below.

    User Name:

    Password:

    Already registered and Forgot your password? Click below to recover it.

    Recover Lost Password

    Join now - it's fast and free!

    Molecular Station is THE largest network of researchers, scientists and science lovers anywhere!

    Research Terms of Usage and Disclaimer
    Home
    Features

    Protocols

    DNA Forum

    Science Forum

    DNA Forum
    Biology Forum

    Science News


    [CaRP] XML error: Invalid document end at line 2

    For more click here:Science News