During the past decade, genome-wide association studies (GWAS) have been used to
successfully identify tens of thousands of genetic variants associated with complex traits and …

Common variant genome-wide association studies (GWASs) have, to date, identified> 24
risk loci for Parkinson's disease (PD). To discover additional loci, we carried out a GWAS …

During the past few years, various novel statistical methods have been developed for fine-
mapping with the use of summary statistics from genome-wide association studies (GWASs) …

Trans-ethnic meta-analysis of genome-wide association studies (GWAS) across diverse
populations can increase power to detect complex trait loci when the underlying causal …

We propose a novel statistical framework for integrating the result from molecular
quantitative trait loci (QTL) mapping into genome-wide genetic association analysis of …

Mendelian randomization uses genetic variants to make causal inferences about the effect
of a risk factor on an outcome. With fine‐mapped genetic data, there may be hundreds of …

Bayesian methods for large-scale multiple regression provide attractive approaches to the
analysis of genome-wide association studies (GWAS). For example, they can estimate …

Here, we present a large (n= 107,207) genome-wide association study (GWAS) of general
cognitive ability (" g"), further enhanced by combining results with a large-scale GWAS of …

Deep sequence-based imputation can enhance the discovery power of genome-wide
association studies by assessing previously unexplored variation across the common-and …

Motivation Genome-wide association studies (GWAS) have identified thousands of regions
in the genome that contain genetic variants that increase risk for complex traits and …