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 …

Motivation: Genome-wide association studies (GWAS) involving half a million or more single
nucleotide polymorphisms (SNPs) allow genetic dissection of complex diseases in a holistic …

Pooling genome-wide association studies (GWASs) increases power but also poses
methodological challenges because studies are often heterogeneous. For example …

Genetic factors strongly affect susceptibility to common diseases and also influence disease-
related quantitative traits. Identifying the relevant genes has been difficult, in part because …

Results from Genome-Wide Association Studies (GWAS) have shown that complex diseases
are often affected by many genetic variants with small or moderate effects. Identifications of …

Background Genome-wide association studies are a promising new tool for deciphering the
genetics of complex diseases. To choose the proper sample size and genotyping platform …

Genome-wide association studies (GWAS) have led to a rapid increase in available data on
common genetic variants and phenotypes and numerous discoveries of new loci associated …

We report a set of tools to estimate the number of susceptibility loci and the distribution of
their effect sizes for a trait on the basis of discoveries from existing genome-wide association …