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Multipoint genetic mapping of quantitative trait loci with dominant markers in outbred populations

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Abstract

We present a multipoint algorithm for mapping quantitative trait loci (QTLs) using dominant markers. The algorithm is designed for outbred populations and is particularly suited for large families. The algorithm works with either codominant or dominant markers, either of which may be interspersed within the same linkage map. Concurrently, the algorithm also partitions dominance variance at the QTL. Computer simulations show that with large families, QTL mapping with dominant markers can be almost as powerful as with bi-allelic, codominant markers. Yet despite this, other situations show a large standard deviation in the estimate of the QTL position, thus making QTL mapping with dominant markers in outbred populations a useful detection tool, albeit limited in its resolution.

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Authors and Affiliations

  1. Department of Botany and Plant Sciences, University of California, Riverside, CA, 92521, USA (Phone

    Damian D. G. Gessler & Shizhong Xu

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  1. Damian D. G. Gessler
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  2. Shizhong Xu
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Gessler, D.D.G., Xu, S. Multipoint genetic mapping of quantitative trait loci with dominant markers in outbred populations. Genetica 105, 281–291 (1999). https://doi.org/10.1023/A:1003981620837

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  • DOI: https://doi.org/10.1023/A:1003981620837

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