Although genome-wide association studies (GWASs) have identified thousands of risk loci
for many complex traits and diseases, the causal variants and genes at these loci remain …

Genome-wide association studies (GWASs) have identified a multitude of genetic loci
involved with traits and diseases. However, it is often unclear which genes are affected in …

Variance-component methods that estimate the aggregate contribution of large sets of
variants to the heritability of complex traits have yielded important insights into the genetic …

Annotations of gene structures and regulatory elements can inform genome-wide
association studies (GWASs). However, choosing the relevant annotations for interpreting …

Genome-wide association studies (GWAS) have identified hundreds of genetic variants
associated with complex traits and diseases. However, elucidating the causal genes …

Despite the success of large-scale genome-wide association studies (GWASs) on complex
traits, our understanding of their genetic architecture is far from complete. Jointly modeling …

Single variant or single gene analyses generally account for only a small proportion of the
phenotypic variation in complex traits. Alternatively, gene set or pathway association …

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

Genome-wide association studies (GWAS) have identified thousands of robust and
replicable genetic associations for complex disease. However, the identification of the …

Genome-wide association studies (GWAS) involve testing genetic variants across the
genomes of many individuals to identify genotype–phenotype associations. GWAS have …