Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/44094
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Type: Journal article
Title: The analysis of QTL by simultaneous use of the full linkage map
Author: Verbyla, A.
Cullis, B.
Thompson, R.
Citation: Theoretical and Applied Genetics, 2007; 116(1):95-111
Publisher: Springer
Issue Date: 2007
ISSN: 0040-5752
1432-2242
Statement of
Responsibility: 
Arūnas P. Verbyla, Brian R. Cullis and Robin Thompson
Abstract: An extension of interval mapping is presented that incorporates all intervals on the linkage map simultaneously. The approach uses a working model in which the sizes of putative QTL for all intervals across the genome are random effects. An outlier detection method is used to screen for possible QTL. Selected QTL are subsequently fitted as fixed effects. This screening and selection approach is repeated until the variance component for QTL sizes is not statistically significant. A comprehensive simulation study is conducted in which map uncertainty is included. The proposed method is shown to be superior to composite interval mapping in terms of power of detection of QTL. There is an increase in the rate of false positive QTL detected when using the new approach, but this rate decreases as the population size increases. The new approach is much simpler computationally. The analysis of flour milling yield in a doubled haploid population illustrates the improved power of detection of QTL using the approach, and also shows how vital it is to allow for sources of non-genetic variation in the analysis.
Description: The original publication can be found at www.springerlink.com
RMID: 0020073730
DOI: 10.1007/s00122-007-0650-x
Appears in Collections:Agriculture, Food and Wine publications

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