A fast algorithm for estimating transmission probabilities in QTL detection designs with dense maps

Jean Michel Elsen (1) , Olivier Filangi (2) , Hélène Gilbert (3) , Pascale Le Roy (2) , Carole Moreno-Romieux (1)

1 SAGA - Station d'Amélioration Génétique des Animaux
2 GARen - Génétique Animale
3 GABI - Génétique Animale et Biologie Intégrative

Background: In the case of an autosomal locus, four transmission events from the parents to progeny are possible, specified by the grand parental origin of the alleles inherited by this individual. Computing the probabilities of these transmission events is essential to perform QTL detection methods. [br/]Results: A fast algorithm for the estimation of these probabilities conditional to parental phases has been developed. It is adapted to classical QTL detection designs applied to outbred populations, in particular to designs composed of half and/or full sib families. It assumes the absence of interference. [br/]Conclusion: The theory is fully developed and an example is given.

Mots clés: qtl; fast algorithm; transmission; dense map; probabilité; estimation

Domaines: Sciences du Vivant [q-bio]

Jean Michel Elsen, Olivier Filangi, Hélène Gilbert, Pascale Le Roy, Carole Moreno-Romieux. A fast algorithm for estimating transmission probabilities in QTL detection designs with dense maps. Genetics Selection Evolution, 2009, 41, online (november), Non paginé. ⟨10.1186/1297-9686-41-50⟩. ⟨hal-01193461⟩