Sib mating designs for mapping quantitative trait loci |
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Authors: | Chongqing Xie Damian DG Gessler Shizhong Xu |
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Institution: | (1) Department of Botany and Plant Science, University of California, Riverside, CA 92521, USA |
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Abstract: | The power to separate the variance of a quantitative trait locus (QTL) from the polygenic variance is determined by the variability
of genes identical by descent (IBD) at the QTL. This variability may increase with inbreeding. Selfing, the most extreme form
of inbreeding, increases the variability of the IBD value shared by siblings, and thus has a higher efficiency for QTL mapping
than random mating. In self-incompatible organisms, sib mating is the closest form of inbreeding. Similar to selfing, sib
mating may also increase the power of QTL detection relative to random mating. In this study, we develop an IBD-based method
under sib mating designs for QTL mapping. The efficiency of sib mating is then compared with random mating. Monte Carlo simulations
show that sib mating designs notably increase the power for QTL detection. When power is intermediate, the power to detect
a QTL using full-sib mating is, on average, 7% higher than under random mating. In addition, the IBD-based method proposed
in this paper can be used to combine data from multiple families. As a result, the estimated QTL parameters can be applied
to a wide statistical inference space relating to the entire reference population.
This revised version was published online in July 2006 with corrections to the Cover Date. |
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Keywords: | identical by descent quantitative trait loci random model sib mating design |
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