Recent work has demonstrated that some functional categories of the genome contribute
disproportionately to the heritability of complex diseases. Here we analyze a broad set of …

Regulatory and coding variants are known to be enriched with associations identified by
genome-wide association studies (GWASs) of complex disease, but their contributions to …

We introduce an approach to identify disease-relevant tissues and cell types by analyzing
gene expression data together with genome-wide association study (GWAS) summary …

Genome-wide association studies (GWAS) have identified thousands of genetic variants
associated with human complex traits. However, the genes or functional DNA elements …

Loci discovered by genome-wide association studies predominantly map outside protein-
coding genes. The interpretation of the functional consequences of non-coding variants can …

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 …

Disease variants identified by genome-wide association studies (GWAS) tend to overlap
with expression quantitative trait loci (eQTLs), but it remains unclear whether this overlap is …

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 …

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

A new analysis has identified hundreds of loci that are associated with multiple traits or
diseases by comparing genome-wide association study (GWAS) data for 42 complex traits …