Technological innovations including risk-stratification algorithms and large databases of
longitudinal population health data and genetic data are allowing us to develop a deeper …

Genome‐wide association studies (GWAS) provide valuable information in research
contexts regarding genomic changes that contribute to risks for complex psychiatric …

Genome-wide association studies (GWAS) have identified hundreds of genetic variants
associated with autoimmune diseases and provided unique mechanistic insights and …

Understanding how genetic variants impact molecular phenotypes is a key goal of functional
genomics, currently hindered by reliance on a single haploid reference genome. Here, we …

Over the past two decades, genome-wide association studies (GWASs) have successfully
advanced our understanding of the genetic basis of complex traits. Despite the fruitful …

One mechanism by which genetic factors influence complex traits and diseases is altering
gene expression. Direct measurement of gene expression in relevant tissues is rarely …

Abstract Purpose of the Review Coronary artery disease (CAD) is a common disease
globally attributable to the interplay of complex genetic and lifestyle factors. Here, we review …

Genome-wide association studies (GWASs) have uncovered numerous trait-associated loci
across the human genome, most of which are located in noncoding regions, making …

Polygenic risk scores (PRS) have shown successes in clinics, but most PRS methods focus
only on participants with distinct primary continental ancestry without accommodating …

An understanding of genetic differences between populations is essential for avoiding
confounding in genome-wide association studies (GWAS) and understanding the evolution …