Code for "Using machine learning to combine genetic and environmental data for maize grain yield predictions across multi-environment trials" (Fernandes et. al 2024)

See https://biometris.github.io/statgenGxE for a full description

An R package for the Latent Environmental & Genetic InTeraction (LEGIT) model

Genome-wide association analysis of phenotypic plasticity in the maize nested association mapping population

This repository contains all the code created to perform a set of GxE studies of T2D and PanC risk using participant data from the UK Biobank

SAS macros for the Latent Environmental & Genetic InTeraction (LEGIT) model

Your one-stop solution for comprehensive genotype × environment interaction and stability analysis (AMMI model) using the metan package. Save time, perform analyses for all traits at once, and gain insightful visualizations effortlessly!"

Joint meta-analysis of 2-df gene and gene-environment tests in GWAS.