Motivation While the search for associations between genetic markers and complex traits
has led to the discovery of tens of thousands of trait-related genetic variants, the vast …

While the search for associations between genetic markers and complex traits has
discovered tens of thousands of trait-related genetic variants, the vast majority of these only …

Over the past several years, genome-wide association studies (GWAS) have implicated
hundreds of genes in common disease. More recently, the GWAS approach has been …

Genome-wide association studies (GWAS) are a valuable approach to understanding the
genetic basis of complex traits. One of the challenges of GWAS is the translation of genetic …

Millions of genetic variants have been assessed for their effects on the trait of interest in
genome-wide association studies (GWAS). The complex traits are affected by a set of inter …

High dimensional genetic data is widely used to explore simple relations between traits,
diseases and relevant genetic factors with high effect size, although identifying factors with …

There is growing evidence that much more of the genome than previously thought is
required to explain the heritability of complex phenotypes. Recent studies have …

Genome-wide association studies (GWAS) aim to detect single nucleotide polymorphisms
(SNP) associated with trait variation. However, due to the large number of tests, standard …

Genome-wide association studies (GWAS) have emerged as the method of choice for
identifying common variants affecting complex disease. In a GWAS, particular attention is …

Background Multivariate testing tools that integrate multiple genome-wide association
studies (GWAS) have become important as the number of phenotypes gathered from study …