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 …

In recent years, a number of large-scale genome-wide association studies have been
published for human traits adjusted for other correlated traits with a genetic basis. In most …

Genome‐wide association studies (GWAS) are conducted with the promise to discover
novel genetic variants associated with diverse traits. For most traits, associated markers …

The identification of multiple signals at individual loci could explain additional phenotypic
variance ('missing heritability') of common traits, and help identify causal genes. We …

Meta-analysis of single trait for multiple cohorts has been used for increasing statistical
power in genome-wide association studies (GWASs). Although hundreds of variants have …

For complex disease genetics research in human populations, remarkable progress has
been made in recent times with the publication of a number of genome-wide association …

Genome-wide association studies (GWAS) in samples of European ancestry have identified
thousands of genetic variants associated with complex traits in humans. However, it remains …

Summary Since 2005, genome-wide association (GWA) datasets have been largely biased
toward sampling European ancestry individuals, and recent studies have shown that GWA …

SNP heritability, the proportion of phenotypic variance explained by SNPs, has been
reported for many hundreds of traits. Its estimation requires strong prior assumptions about …

Evidence that complex traits are highly polygenic has been presented by population-based
genome-wide association studies (GWASs) through the identification of many significant …