supported by the National Natural Science Foundation of China(31772556);the China Agricultural Research System(CARS-41-G03);the Science Innovation Project of Guangdong(2015A020209159);the Special Program for Applied Research on Super Computation of the NSFC Guangdong Joint Fund(the second phase)under Grant No.U1501501;technical support from the National Supercomputer Center in Guangzhou
Background: Genome-wide association studies and genomic predictions are thought to be optimized by using whole-genome sequence(WGS) data. However, sequencing thousands of individuals of interest is expensive.Imputatio...