Title :
An Application of a Theorem of Johnstone and Forrester to Testing for Familial Aggregation
Author_Institution :
Dept. of Math. & Stat., Georgia State Univ., Atlanta, GA
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;
Conference_Titel :
BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-0-7695-3118-2
DOI :
10.1109/BMEI.2008.349