We introduce a rational approach for associating genes with plant traits by combined use of
a genome-scale functional network and targeted reverse genetic screening. We present a …

Genome-wide association studies (GWAS), genetic surveys of the whole genome to detect
variants associated with a trait in natural populations, are a powerful approach for dissecting …

Identifying trait-associated genes is critical for rice (Oryza sativa) improvement, which
usually relies on map-based cloning, quantitative trait locus analysis, or genome-wide …

Genome-wide association study (GWAS) has improved our understanding of complex traits,
but challenges exist in distinguishing causation versus association caused by linkage …

Highlights•Controlling for spurious associations in statistical models is essential.•
Computationally efficient approaches are critical for large data sets.•Statistical genetic …

Soybean is an important oilseed crop worldwide, contributing more than 50% of globally
consumed edible oil. But nowhere is it more important than in the Americas where close to …

Agricultural crop breeding programs, particularly at the national level, typically consist of a
core panel of elite breeding cultivars alongside a number of local landrace varieties (or other …

The concept of genome-wide association studies (GWAS) was originally developed in
humans where it is very successful and has led to identification of key genes for disease and …

Linkage and association mapping populations are crucial public resources that facilitate the
characterization of trait genetic architecture in natural and agricultural systems. We define a …

Large-scale phenotype data are expected to increase the accuracy of genome-wide
prediction and the power of genome-wide association analyses. However, genomic …