Skip navigation
Skip navigation

Novel Resampling Improves Statistical Power for Multiple-Trait QTL Mapping

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

Description

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
URI: http://hdl.handle.net/1885/244054
Source: G3: Genes, Genomes, Genetics
DOI: 10.1534/g3.116.037531
Access Rights: Open Access

Download

File Description SizeFormat Image
01_Cheng_Novel_Resampling_Improves_2017.pdf1.58 MBAdobe PDFThumbnail


This item is licensed under a Creative Commons License Creative Commons

Updated:  19 May 2020/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator