A - Papers appearing in refereed journals
Verbyla, A. P., Cullis, B. R. and Thompson, R. 2008. The analysis of QTL by simultaneous use of the full linkage map. Theoretical and Applied Genetics. 116 (December), pp. 95-111.
|Authors||Verbyla, A. P., Cullis, B. R. and Thompson, R.|
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.
|Year of Publication||2008|
|Journal||Theoretical and Applied Genetics|
|Journal citation||116 (December), pp. 95-111|
|Digital Object Identifier (DOI)||doi:10.1007/s00122-007-0650-x|
|Open access||Published as non-open access|
|Funder project or code||Centre for Mathematical and Computational Biology (MCB)|
|Research in statistics relevant to biological processes|
|Online||20 Oct 2007|
|Publication process dates|
|Accepted||17 Sep 2007|
|Copyright license||Publisher copyright|
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