Sire design power calculation for QTL mapping experiments
Carta, A. | Elsen, J.M. | Laboratoire Pierre Aigrain (LPA) ; Fédération de recherche du Département de physique de l'Ecole Normale Supérieure - ENS Paris (FRDPENS) ; École normale supérieure - Paris (ENS-PSL) ; Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL) ; Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS) | Station d'Amélioration Génétique des Animaux (SAGA) ; Institut National de la Recherche Agronomique (INRA)
Estimates of sire design power for QTL mapping experiments obtained using three different methods of algebraic approximation were analysed by comparing them with the results of data simulations. Even when the binomial probability that any number of sires out of the total number of sires are jointly heterozygous at the marker and the QT loci was taken into consideration, the algebraic approximations overestimated powers. However, they could be used to rank designs differing in the number of sires if the total size of the experiment is given. The results were discussed, focusing on the assumptions made about the number of informative offspring, the balance between the two offspring sub-groups which receive the same marker allele from the sire and the distribution of the statistic. Given that a full algebraic approach would be computationally costly, data simulation can be considered a useful tool in estimating the power of QTL detection sire designs.
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