The success of genome-wide association studies (GWAS) to identify risk loci of complex
diseases is now well-established. One persistent major hurdle is the cost of those studies …

Background While the possible sources underlying the so-called 'missing heritability'evident
in current genome-wide association studies (GWAS) of complex traits have been actively …

Complex diseases are often highly heritable. However, for many complex traits only a small
proportion of the heritability can be explained by observed genetic variants in traditional …

Gouveia and colleagues (2022) 1 conducted a genome-wide association study (GWAS) of a
polygenic risk score (PRS)-derived phenotype (N= 37,784), in which they identified 246 …

Genome-wide association studies (GWASs) have created a paradigm shift in discovering
genetic associations for common diseases and phenotypes, but it is unclear whether the …

Although genetic correlations between complex traits provide valuable insights into
epidemiological and etiological studies, a precise quantification of which genomic regions …

We study in this article jointly testing the associations of a genetic variant with correlated
multiple phenotypes using the summary statistics of individual phenotype analysis from …

The last decade of human genetic research witnessed the completion of hundreds of
genome-wide association studies (GWASs). However, the genetic variants discovered …

The extended Simes' test (known as GATES) and scaled chi-square test were proposed to
combine a set of dependent genome-wide association signals at multiple single-nucleotide …

There are many known examples of multiple semi-independent associations at individual
loci; such associations might arise either because of true allelic heterogeneity or because of …