Threshold and power for Quantitative Trait Locus detection

Charles-Elie Rabier (1, 2) , Jean-Marc Azaïs (2) , Jean-Michel Elsen (1) , Céline Delmas (1)

1 SAGA - Station d'Amélioration Génétique des Animaux
2 IMT - Institut de Mathématiques de Toulouse UMR5219

We propose several new methods to calculate threshold and power for Quantitative Trait Locus (QTL) detection. They are based on asymptotic theoretical results presented in Rabier et al. (2009) . The asymptotic validity is checked by simulations. The methods proposed are fast and easy to implement. A comparison of power between a multiple testing procedure and a global test has been realized, showing far better performances of the global test for the detection of a QTL.

Mots clés: QTL detection; Likelihood Ratio Test; Chi-Square process; Multiple Testing; Threshold; Monte-Carlo methods

Domaines: Statistiques [math.ST]; Théorie [stat.TH]

Charles-Elie Rabier, Jean-Marc Azaïs, Jean-Michel Elsen, Céline Delmas. Threshold and power for Quantitative Trait Locus detection. 2010. ⟨hal-00482142⟩