Novel Resampling Improves Statistical Power for Multiple-Trait QTL Mapping
Novel Resampling Improves Statistical Power for Multiple-Trait QTL Mapping
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Publisher
England: Oxford University Press
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Language
English
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Publisher
England: Oxford University Press
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Abstract
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...
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Full title
Novel Resampling Improves Statistical Power for Multiple-Trait QTL Mapping
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TN_cdi_proquest_journals_3169761063
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3169761063
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ISSN
2160-1836
E-ISSN
2160-1836
DOI
10.1534/g3.116.037531
