TITLE

An evaluation of the variance components approach: type 1 error, power and size of the estimated effect

AUTHOR(S)
Yin Yao Shugart; O'Connell, Jeffrey R.; Wilson, Alexander F.
PUB. DATE
February 2002
SOURCE
European Journal of Human Genetics;Feb2002, Vol. 10 Issue 2, p133
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
In order to evaluate the statistical properties of the variance components method implemented in SOLAR and GENEHUNTER2, the type I error rate, power and estimated size of modelled effects were determined using computer simulation. Results suggested that the type I error rate was quite conservative when the variance was completely due to random effects. However, when either a polygenic effect or an unlinked single locus component effect was included in the generating models the type I error rate was closer to the nominal level. The size of the polygenic or single locus effect appeared to influence the type I error rate. Results suggested that the variance components method underestimated the variance attributed to a single locus effect and overestimated the variance attributed to a polygenic effect in the models considered regardless of the source of variation.
ACCESSION #
8618396

 

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