Genomewide association studies have been advocated as a promising alternative to
genomewide linkage scans for detection of small-effect genes in complex diseases …

With the availability of dense maps of anonymous and frequent SNPs spanning the whole
human genome, genome-wide association studies are now becoming a reality. In this paper …

Genome‐wide association studies, using hundreds of thousands of single‐nucleotide
polymorphism (SNP) markers, have become a standard approach for identifying disease …

Here we present a method of genome-wide inferred study (GWIS) that provides an
approximation of genome-wide association study (GWAS) summary statistics for a variable …

Logistic regression is often used instead of Cox regression to analyse genome-wide
association studies (GWAS) of single-nucleotide polymorphisms (SNPs) and disease …

Genome-wide association (GWA) studies use high-throughput genotyping technologies to
assay hundreds of thousands of single-nucleotide polymorphisms (SNPs) and relate them to …

Genomewide association studies are being conducted to unravel the genetic etiology of
complex human diseases. Because of cost constraints, these studies typically employ a two …

Genome-wide association studies (GWASs) are an optimal design for discovery of disease
risk loci for diseases whose underlying genetic architecture includes many common causal …

The availability of affordable high throughput technology for parallel genotyping has opened
the field of genetics to genome‐wide association studies (GWAS), and in the last few years …

Genomewide association studies (GWAs) initially investigate hundreds of thousands of
single-nucleotide polymorphisms (SNPs), and the most promising SNPs are further …