Identifying and interpreting pleiotropic loci is essential to understanding the shared etiology
among diseases and complex traits. A common approach to mapping pleiotropic loci is to …

Background Understanding the mapping precision of genome-wide association studies
(GWAS), that is the physical distances between the top associated single-nucleotide …

To provide a comprehensive mechanistic interpretation of how known trait-associated SNPs
affect complex traits, we propose a method, Primo, for integrative analysis of GWAS …

Accounting for the genetic substructure of human populations has become a major practical
issue for studying complex genetic disorders. Allele frequency differences among ethnic …

It is well-known that population substructure may lead to confounding in case–control
association studies. Here, we examined genetic structure in a large racially and ethnically …

Many genetic loci and SNPs associated with many common complex human diseases and
traits are now identified. The total genetic variance explained by these loci for a trait or …

GWAS have been successful in identifying disease susceptibility loci, but it remains a
challenge to pinpoint the causal variants in subsequent fine-mapping studies. A …

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 …

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

The proportion of variation in complex traits that can be attributed to non-additive genetic
effects has been a topic of intense debate. The availability of biobank-scale datasets of …