Please use this identifier to cite or link to this item: https://doi.org/10.1002/sim.4461
Title: Detecting case-control expression quantitative trait loci using locally most powerful or maximin robust rank tests
Authors: Yuan, A.
Xu, J. 
Yue, Q.
Zheng, G.
Keywords: Case-control study
EQTL
Gene expression
Genome wide
Locally most powerful rank test
Maximin efficiency robust test
Quantitative trait loci
Issue Date: 30-Apr-2012
Citation: Yuan, A., Xu, J., Yue, Q., Zheng, G. (2012-04-30). Detecting case-control expression quantitative trait loci using locally most powerful or maximin robust rank tests. Statistics in Medicine 31 (9) : 887-900. ScholarBank@NUS Repository. https://doi.org/10.1002/sim.4461
Abstract: 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.
Source Title: Statistics in Medicine
URI: http://scholarbank.nus.edu.sg/handle/10635/105086
ISSN: 02776715
DOI: 10.1002/sim.4461
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