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Correct estimation of preferential chromosome pairing in autotetraploids

Cao D, Osborn TC, Doerge RW.
Department of Statistics and Purdue University, West Lafayette, Indiana 47907, USA.

In recent work, a statistical model was proposed for the purpose of estimating parameters associated with quantitative trait locus (QTL) mapping and preferential pairing within a polyploidy framework. The statistical model contained several parameters that, when estimated from experimental data, supplied information about QTL, including a preferential pairing factor. Among the results reported were estimates of preferential pairing, many of which indicated high levels of preferential pairing (p = 0.60) that were inconsistent with biological expectations. By using the biological inconsistencies as our motivation, we present a reformulated statistical method for estimating preferential pairing, and use this method to reanalyze the same autotetraploid alfalfa data and to conduct a simulation study. Our results directly contradict the current findings of significant preferential pairing and affirm the traditional view of random chromosome segregation in alfalfa. [1]

  1. Cao D et al. (2004) Correct estimation of preferential chromosome pairing in autotetraploids. Genome Res 14: 459-62 PubMed
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