Both polygenicity (many small genetic effects) and confounding biases, such as cryptic
relatedness and population stratification, can yield an inflated distribution of test statistics in …

The successes of genome-wide association (GWA) studies have mainly come from studies
performed in populations of European descent. Since complex traits are characterized by …

We present an approximate conditional and joint association analysis that can use summary-
level statistics from a meta-analysis of genome-wide association studies (GWAS) and …

Public health strategies aimed at disease prevention or early detection and intervention
have the potential to advance human health worldwide. However, their success depends on …

A polygenic score (PGS) or polygenic risk score (PRS) is an estimate of an individual's
genetic liability to a trait or disease, calculated according to their genotype profile and …

The low portability of polygenic scores (PGSs) across global populations is a major concern
that must be addressed before PGSs can be used for everyone in the clinic. Indeed …

The vast majority of genome-wide association studies (GWASs) are performed in
Europeans, and their transferability to other populations is dependent on many factors (eg …

Large-scale genome-wide association results are typically obtained from a fixed-effects
meta-analysis of GWAS summary statistics from multiple studies spanning different regions …

Human genome-wide association studies (GWASs) are revealing the genetic architecture of
anthropomorphic and biomedical traits, ie, the frequencies and effect sizes of variants that …

The omnigenic model was proposed as a framework to understand the highly polygenic
architecture of complex traits revealed by genome-wide association studies (GWASs). I …