Analyses of data from genome-wide association studies on unrelated individuals have
shown that, for human traits and diseases, approximately one-third to two-thirds of …

Over a decade of genome-wide association studies (GWAS) have led to the finding of
extreme polygenicity of complex traits. The phenomenon that “all genes affect every complex …

Colocalization analysis has emerged as a powerful tool to uncover the overlapping of causal
variants responsible for both molecular and complex disease phenotypes. The findings from …

It has been proposed that single nucleotide polymorphisms (SNPs) discovered by genome-
wide association studies (GWAS) account for only a small fraction of the genetic variation of …

After a decade of genome-wide association studies (GWASs), fundamental questions in
human genetics, such as the extent of pleiotropy across the genome and variation in genetic …

A new analysis has identified hundreds of loci that are associated with multiple traits or
diseases by comparing genome-wide association study (GWAS) data for 42 complex traits …

During the past few years, various novel statistical methods have been developed for fine-
mapping with the use of summary statistics from genome-wide association studies (GWASs) …

It is not well known whether genetic markers identified through genome-wide association
studies (GWAS) confer similar or different risks across people of different ancestry. We …

We use computer simulations to investigate the amount of genetic variation for complex traits
that can be revealed by single-SNP genome-wide association studies (GWAS) or regional …

Polygenic risk scores (PRS) have attenuated cross-population predictive performance. As
existing genome-wide association studies (GWAS) have been conducted predominantly in …