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| HAL : hal-00658583, version 2 |
| Fiche détaillée |  Récupérer au format |
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| Versions disponibles : | v1 (10-01-2012) | v2 (01-07-2012) |
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| On statistical inference for selective genotyping |
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| Charles-Elie Rabier 1, 2 |
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| (10/01/2012) |
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| In Quantitative Trait Locus detection, selective genotyping is a way to reduce costs due to genotyping : only individuals with extreme phenotypes are genotyped. We focus here on statistical inference for selective genotyping. We study, in a very large framework, the performances of different tests suitable for selective genotyping. We proof that we have to genotype symetrically, that is to say the same percentage of large and small phenotypes whatever the proportions of the two genotypes in the population. Besides, we proof that the non extreme phenotypes (ie. the phenotypes for which genotypes are missing) don't bring any information for statistical inference. Same results are obtained in the case of a selective genotyping with two phenotypes correlated. |
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| 1 : | Laboratoire de Statistiques et Probabilités (LSProba) |
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CNRS : UMR5583 – Université Paul Sabatier [UPS] - Toulouse III – Institut National des Sciences Appliquées (INSA) - Toulouse |
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| 2 : | Station d'Amélioration Génétique des Animaux (SAGA) |
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Institut national de la recherche agronomique (INRA) : UR0631 |
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| Domaine | : | Mathématiques/Statistiques Statistiques/Théorie |
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| Hypothesis testing – Asymptotic properties of tests – Asymptotic Relative Efficiency – Selective genotyping – Quantitative Trait Locus detection |
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| Liste des fichiers attachés à ce document : | |||||
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| hal-00658583, version 2 | |
| http://hal.archives-ouvertes.fr/hal-00658583 | |
| oai:hal.archives-ouvertes.fr:hal-00658583 | |
| Contributeur : Charles-Elie Rabier | |
| Soumis le : Samedi 30 Juin 2012, 18:07:33 | |
| Dernière modification le : Dimanche 1 Juillet 2012, 10:36:08 | |
