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
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