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Novel Resampling Improves Statistical Power for Multiple-Trait QTL Mapping

Cheng, Riyan; Doerge, R. W.; Borevitz, Justin


Multiple-trait analysis typically employs models that associate a quantitative trait locus (QTL) with all of the traits. As a result, statistical power for QTL detection may not be optimal if the QTL contributes to the phenotypic variation in only a small proportion of the traits. Excluding QTL effects that contribute little to the test statistic can improve statistical power. In this article, we show that an optimal power can be achieved when the number of QTL effects is best estimated, and...[Show more]

CollectionsANU Research Publications
Date published: 2017
Type: Journal article
Source: G3: Genes, Genomes, Genetics
DOI: 10.1534/g3.116.037531
Access Rights: Open Access


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