metaGE: Investigating Genotype × Environment interactions through meta-analysis - Archive ouverte HAL Accéder directement au contenu
Pré-Publication, Document De Travail Année : 2023

metaGE: Investigating Genotype × Environment interactions through meta-analysis

Résumé

Abstract Dissecting the genetic components of Genotype-by-Environment interactions is of key importance in the context of increasing instability and plant competition due to climate change and phytosanitary treatment limitations. It is widely addressed in plants using Multi-Environment Trials (MET), in which statistical modelling for genome-wide association studies (GWAS) is promising but significantly more complex than for single-environment studies. In this context, we introduce metaGE, a flexible and computationally efficient meta-analysis approach for the joint analysis of any MET GWAS experiment. To cope with the specific requirements of the MET context, metaGE accounts for both the heterogeneity of QTL effects across environments and the correlation between GWAS summary statistics acquired on the same or related set(s) of genotypes. Compared to previous GWAS in 3 plant species and a multi-parent population, metaGE identified known and new QTLs. It provided valuable insight into the genetic architecture of several complex traits and the variation of QTL effects conditional to environmental conditions.
Fichier principal
Vignette du fichier
metaGE2023.03.01.530237v1.full.pdf (1.1 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04507780 , version 1 (17-03-2024)

Identifiants

Citer

Annaïg de Walsche, Alexis Vergne, Renaud Rincent, Fabrice Roux, Stephane Nicolas, et al.. metaGE: Investigating Genotype × Environment interactions through meta-analysis. 2024. ⟨hal-04507780⟩
0 Consultations
2 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More