NDLI: An Analytic Study of the Power of Popular Quantitative-Trait-Locus Mapping Methods

Content Provider	Springer Nature Link
Author	Wang, Kai
Copyright Year	2008
Abstract	Comparison of the power of various statistical methods is an important issue in quantitative-trait-locus mapping analysis. One effective means is to compare the noncentrality parameters of various test statistics. Such comparisons have been conducted in the literature either by using computer simulations or by comparing approximations to the noncentrality parameters. While useful, these approaches are not accurate by nature and could generate erroneous conclusions. For the popular sibpair design, I compare the noncentrality parameters of four popular statistical methods, i.e., a variance components method, a regression-based method, a score statistic and a “robustified” score statistic. Assuming that marker map is fully informative, I show analytically that noncentrality parameters for these methods are in the following order, from the largest to the smallest, the variance components method, the score statistic method, the regression method and the “robustified” score statistic. I also show by using an example that such ordering can fail for family structures other than sibpairs.
Starting Page	554
Ending Page	559
Page Count	6
File Format	PDF
ISSN	00018244
Journal	Behavior Genetics
Volume Number	38
Issue Number	5
e-ISSN	15733297
Language	English
Publisher	Springer US
Publisher Date	2008-09-03
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	QTL mapping Noncentrality Variance component method Regression Score statistic Health Psychology Clinical Psychology Public Health/Gesundheitswesen
Content Type	Text
Resource Type	Article
Subject	Genetics Ecology, Evolution, Behavior and Systematics Genetics (clinical)

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