TY - GEN
T1 - An application of a theorem of Johnstone and Forrester to testing for familial aggregation
AU - Fang, Yixin
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
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U2 - 10.1109/BMEI.2008.349
DO - 10.1109/BMEI.2008.349
M3 - Conference contribution
AN - SCOPUS:51649129814
SN - 9780769531182
T3 - BioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008
SP - 773
EP - 777
BT - BioMedical Engineering and Informatics
T2 - BioMedical Engineering and Informatics: New Development and the Future - 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008
Y2 - 27 May 2008 through 30 May 2008
ER -