Genome‐wide association studies (GWAS) have developed into a powerful and ubiquitous
tool for the investigation of complex traits. In large part, this was fueled by advances in …

Salt stress limits the productivity of crops grown under saline conditions, leading to
substantial losses of yield in saline soils and under brackish and saline irrigation. Salt …

Compared with linear mixed model-based genome-wide association (GWA) methods,
generalized linear mixed model (GLMM)-based methods have better statistical properties …

Complex biological processes such as plant growth and development are often under the
control of transcription factors that regulate the expression of large sets of genes and …

Genome-wide association study (GWAS) and genomic prediction/selection (GP/GS) are the
two essential enterprises in genomic research. Due to the great magnitude and complexity …

Along with the development of high-throughput sequencing technologies, both sample size
and SNP number are increasing rapidly in genome-wide association studies (GWAS), and …

Genome-wide association analysis of cohorts with thousands of phenotypes is
computationally expensive, particularly when accounting for sample relatedness or …

In genome-wide association studies (GWAS) for thousands of phenotypes in large biobanks,
most binary traits have substantially fewer cases than controls. Both of the widely used …

The genome-wide association study (GWAS) has been widely used as an experimental
design to detect associations between genetic variants and a phenotype. Two major …

Appropriate root system architecture (RSA) can improve maize yields in densely planted
fields, but little is known about its genetic basis in maize. Here we performed root …