The advent of large-scale genome-wide association studies (GWASs) has motivated the
development of statistical methods for phenotype prediction with single-nucleotide …

Previous genome-wide association studies (GWASs) for adiponectin, a complex trait linked
to type 2 diabetes and obesity, identified> 20 associated loci. However, most loci were …

Genome wide association studies (GWAS) have identified a number of genomic loci that are
associated with Parkinson's disease (PD) risk. However, the majority of these variants lie in …

Genome-wide association studies (GWAS) have expanded our understanding of complex
disorders and their population health implications to encompass the influence of genetic risk …

1.1 Background Genome-Wide Association Studies (GWAS) are an essential tool in modern
genetics research where they significantly advanced our understanding of the genetic …

Identifying causal variants for complex traits is a major goal of human genetics research.
Despite the great success of genome-wide association studies (GWAS) in locus discovery …

Genetic diseases can be classified along a spectrum based on the number of genes and
genetic variants involved in their development. On one end of the spectrum are Mendelian …

Genome-wide association studies (GWAS) have linked hundreds of loci to cardiac diseases.
However, in most loci the causal variants and their target genes remain unknown. We …

Polygenic risk scores built from multi-ancestry genome-wide association studies (GWAS,
PRSmulti) have the potential to improve PRS accuracy and generalizability across …

We propose a novel Bayesian model for fine-mapping in order to identify putative causal
variants at GWAS loci. Relative to existing fine-mapping methods, the proposed model has …