Detecting case-control expression quantitative trait loci using locally most powerful or maximin robust rank tests

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Original languageEnglish
Pages (from-to)887-900
Journal / PublicationStatistics in Medicine
Issue number9
Publication statusPublished - 30 Apr 2012
Externally publishedYes


In testing genome-wide gene expression quantitative trait loci, efficiency robust statistical methods and their computational convenience are most relevant. For this purpose, we propose to use a modified locally most powerful rank test for the analysis of case-control expression data. This modified rank test statistic is computationally simple, robust for non-normally distributed expression data, and asymptotically locally most powerful. It depends on the specification of a location distribution form for data but is not sensitive to misspecifications. When such a location distribution form cannot be specified, we apply Gastwirth's maximin efficiency robust rank test to gene expression data to maximize the worst Pitman asymptotic relative efficiency among a family of location distributions. We conduct simulation studies to assess their performance and use an application to real data for illustration. © 2011 John Wiley & Sons, Ltd.

Research Area(s)

  • Case-control study, EQTL, Gene expression, Genome wide, Locally most powerful rank test, Maximin efficiency robust test, Quantitative trait loci

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