Testing Hardy-Weinberg equilibrium with a simple root-mean-square statistic

Ward, R; Carroll, RJ

Testing Hardy-Weinberg equilibrium with a simple root-mean-square statistic

Ward, R Carroll, RJ

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Publication Type:: Journal Article
Citation:: Biostatistics, 2014, 15 (1), pp. 74 - 86
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Ward, R	en_US
dc.contributor.author	Carroll, RJ	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	Biostatistics, 2014, 15 (1), pp. 74 - 86	en_US
dc.identifier.issn	1465-4644	en_US
dc.identifier.uri	http://hdl.handle.net/10453/112649
dc.description.abstract	We provide evidence that, in certain circumstances, a root-mean-square test of goodness of fit can be significantly more powerful than state-of-the-art tests in detecting deviations from Hardy-Weinberg equilibrium. Unlike Pearson's χ2 test, the log-likelihood-ratio test, and Fisher's exact test, which are sensitive to relative discrepancies between genotypic frequencies, the root-mean-square test is sensitive to absolute discrepancies. This can increase statistical power, as we demonstrate using benchmark data sets and simulations, and through asymptotic analysis. © 2013 The Author 2013. Published by Oxford University Press.	en_US
dc.relation.ispartof	Biostatistics	en_US
dc.relation.isbasedon	10.1093/biostatistics/kxt028	en_US
dc.subject.classification	Statistics & Probability	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Monte Carlo Method	en_US
dc.subject.mesh	Genotype	en_US
dc.subject.mesh	Alleles	en_US
dc.subject.mesh	Algorithms	en_US
dc.subject.mesh	Models, Genetic	en_US
dc.subject.mesh	Computer Simulation	en_US
dc.title	Testing Hardy-Weinberg equilibrium with a simple root-mean-square statistic	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	15	en_US
utslib.for	0104 Statistics	en_US
utslib.for	0604 Genetics	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
utslib.copyright.status	open_access
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	15	en_US

Abstract:

We provide evidence that, in certain circumstances, a root-mean-square test of goodness of fit can be significantly more powerful than state-of-the-art tests in detecting deviations from Hardy-Weinberg equilibrium. Unlike Pearson's χ2 test, the log-likelihood-ratio test, and Fisher's exact test, which are sensitive to relative discrepancies between genotypic frequencies, the root-mean-square test is sensitive to absolute discrepancies. This can increase statistical power, as we demonstrate using benchmark data sets and simulations, and through asymptotic analysis. © 2013 The Author 2013. Published by Oxford University Press.

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http://hdl.handle.net/10453/112649