We describe a statistical method for prioritizing candidate causal noncoding single
nucleotide polymorphisms (SNPs) in regions of the genome that are detected as trait …

Genome-wide association studies (GWAS) are designed to identify the portion of single-
nucleotide polymorphisms (SNPs) in genome sequences associated with a complex trait …

Genome-wide association studies (GWAS) associate single nucleotide polymorphisms
(SNPs) to complex phenotypes. Most human SNPs fall in non-coding regions and are likely …

One of the formative goals of genetics research is to understand how genetic variation leads
to phenotypic differences and human disease. Genome-wide association studies (GWASs) …

Identification of causal noncoding single nucleotide polymorphisms (SNPs) is important for
maximizing the knowledge dividend from human genome-wide association studies (GWAS) …

Motivation: Genome-wide association studies (GWAS) have achieved remarkable success
in identifying SNP-trait associations in the last decade. However, it is challenging to identify …

A genome wide association study (GWAS) typically results in a few highly significant 'hits'
and a much larger set of suggestive signals ('near-hits'). The latter group are expected to be …

Phenotypic heritability of complex traits and diseases is seldom explained by individual
genetic variants identified in genome-wide association studies (GWAS). Many methods have …

Human single nucleotide polymorphism (SNP) chips which are used in genome-wide
association studies (GWAS) permit the genotyping of up to 4 million SNPs simultaneously …

Typical methods of analyzing genome-wide single nucleotide variant (SNV) data in cases
and controls involve testing each variant's genotypes separately for phenotype association …