Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism

Jie Luo, Xingming Lian and colleagues report results of a large genome-wide association study of metabolic variation in rice. They identify hundreds of common variants influencing metabolite levels and illustrate how this approach can complement classical trait mapping and provide insights into pathways of physiological and nutritional importance.