Confidence Intervals in QTL Mapping by Bootstrapping

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Confidence intervals in QTL mapping by bootstrapping.

The determination of empirical confidence intervals for the location of quantitative trait loci (QTLs) was investigated using simulation. Empirical confidence intervals were calculated using a bootstrap resampling method for a backcross population derived from inbred lines. Sample sizes were either 200 or 500 individuals, and the QTL explained 1, 5, or 10% of the phenotypic variance. The method...

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Improved confidence intervals in quantitative trait loci mapping by permutation bootstrapping.

The nonparametric bootstrap approach is known to be suitable for calculating central confidence intervals for the locations of quantitative trait loci (QTL). However, the distribution of the bootstrap QTL position estimates along the chromosome is peaked at the positions of the markers and is not tailed equally. This results in conservativeness and large width of the confidence intervals. In th...

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Constructing confidence intervals for QTL location.

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A comparison of bootstrap methods to construct confidence intervals in QTL mapping

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ژورنال

عنوان ژورنال: Genetics

سال: 1996

ISSN: 1943-2631

DOI: 10.1093/genetics/143.2.1013