• DocumentCode
    1939997
  • Title

    An Application of a Theorem of Johnstone and Forrester to Testing for Familial Aggregation

  • Author

    Fang, Yixin

  • Author_Institution
    Dept. of Math. & Stat., Georgia State Univ., Atlanta, GA
  • Volume
    2
  • fYear
    2008
  • fDate
    27-30 May 2008
  • Firstpage
    773
  • Lastpage
    777
  • Abstract
    In family studies, genetic epidemiologists are interested in choosing traits, or combinations of traits, of high degree of familial aggregation to use in the linkage analysis. Principal components analysis of heritability similar to canonical correlation analysis, estimates the linear combination with the largest heritability. However, the first and foremost task is to test if there is any trait, or combination of traits, of familial aggregation. To this aim, a type of permutation test is proposed. Since the permutation test is time-consuming, a theorem of Johnstone and Forrester (2004) can be used to obtain the approximate p-value.
  • Keywords
    diseases; genetics; physiological models; principal component analysis; Johnstone-and-Forrester theorem; canonical correlation analysis; familial aggregation; genetic epidemiology; heritability; linkage analysis; permutation test; principal component approach; principal components analysis; Alcoholism; Biomedical engineering; Biomedical informatics; Collaboration; Couplings; Genetics; Mathematics; Principal component analysis; Statistical analysis; Testing; Heritability; PCA; Permutation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-0-7695-3118-2
  • Type

    conf

  • DOI
    10.1109/BMEI.2008.349
  • Filename
    4549280