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Combining dependent tests for linkage or association across multiple phenotypic traits.

Xin Xu·Lu Tian·L J Wei
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Abstract

A robust statistical method to detect linkage or association between a genetic marker and a set of distinct phenotypic traits is to combine univariate trait-specific test statistics for a more powerful overall test. This procedure does not need complex modeling assumptions, can easily handle the problem with partially missing trait values, and is applicable to the case with a mixture of qualitative and quantitative traits. In this note, we propose a simple test procedure along this line, and show its advantages over the standard combination tests for linkage or association in the literature through a data set from Genetic Analysis Workshop 12 (GAW12) and an extensive simulation study.

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Computer SimulationData Interpretation, StatisticalGenetic LinkageGenetic MarkersGenetic VariationHumansLinear ModelsModels, GeneticPhenotypeJournal ArticleResearch Support, U.S. Gov't, P.H.S.

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Xin Xu, Lu Tian, L J Wei. 2003. Combining dependent tests for linkage or association across multiple phenotypic traits.. https://doi.org/10.1093/biostatistics%2F4.2.223

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