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 …

Uncovering the genetic and evolutionary basis of local adaptation is a major focus of
evolutionary biology. The recent development of cost-effective methods for obtaining high …

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

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 …

Genome-wide genealogies compactly represent the evolutionary history of a set of genomes
and inferring them from genetic data has the potential to facilitate a wide range of analyses …

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 …

Big datasets, accumulated from biomedical and agronomic studies, provide the potential to
identify genes that control complex human diseases and agriculturally important traits …

False positives in a Genome-Wide Association Study (GWAS) can be effectively controlled
by a fixed effect and random effect Mixed Linear Model (MLM) that incorporates population …

Characterizing the multifaceted contribution of genetic and epigenetic factors to disease
phenotypes is a major challenge in human genetics and medicine. We carried out high …

Crop populations derived from experimental crosses enable the genetic dissection of
complex traits and support modern plant breeding. Among these, multi-parent populations …