Functional genomics data has the potential to increase GWAS power by identifying SNPs
that have a higher prior probability of association. Here, we introduce a method that …

Early genome-wide association studies (GWASs) led to the surprising discovery that, for
typical complex traits, most of the heritability is due to huge numbers of common variants …

Mendelian randomization, a method to infer causal relationships, is confounded by genetic
correlations reflecting shared etiology. We developed a model in which a latent causal …

Complex traits and common diseases are extremely polygenic, their heritability spread
across thousands of loci. One possible explanation is that thousands of genes and loci have …

Common variant heritability has been widely reported to be concentrated in variants within
cell-type-specific non-coding functional annotations, but little is known about low-frequency …

Human genome-wide association studies (GWASs) are revealing the genetic architecture of
anthropomorphic and biomedical traits, ie, the frequencies and effect sizes of variants that …

Polygenic risk prediction is a widely investigated topic because of its promising clinical
applications. Genetic variants in functional regions of the genome are enriched for complex …

Multiple sclerosis is a complex neurological disease, with∼ 20% of risk heritability
attributable to common genetic variants, including> 230 identified by genome-wide …

SNP-heritability is a fundamental quantity in the study of complex traits. Recent studies have
shown that existing methods to estimate genome-wide SNP-heritability can yield biases …

The vast majority of human mutations have minor allele frequencies under 1%, with the
plurality observed only once (that is,'singletons'). While Mendelian diseases are …