MetaGE: Investigating genotype x environment interactions through GWAS meta-analysis.

ABSTRACT: Elucidating the genetic components of plant genotype-by-environment interactions is of key importance in the context of increasing climatic instability, diversification of agricultural practices and pest pressure due to phytosanitary treatment limitations. The genotypic response to environmental stresses can be investigated through multi-environment trials (METs). However, genome-wide association studies (GWAS) of MET data are significantly more complex than that of single environments. In this context, we introduce metaGE, a flexible and computationally efficient meta-analysis approach for jointly analyzing single-environment GWAS of any MET experiment. The metaGE procedure accounts for the heterogeneity of quantitative trait loci (QTL) effects across the environmental conditions and allo

SUBMITTER: De Walsche A 

PROVIDER: S-EPMC11756807 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature