Abstract Genome-wide Association Studies (GWAS) are conducted to identify single
nucleotide polymorphisms (variants) associated with a phenotype within a specific …

Genome-wide association study (GWAS) aims to discover genetic factors underlying
phenotypic traits. The large number of genetic factors poses both computational and …

In the past few years, genome-wide association study (GWAS) has made great successes in
identifying genetic susceptibility loci underlying many complex diseases and traits. The …

Genome-Wide Association Studies shed light on the identification of genes underlying
human diseases and agriculturally important traits. This potential has been shadowed by …

Background Genome-wide association studies prove to be a powerful approach to identify
the genetic basis of different human diseases. We studied the relationship between seven …

Recently, the greatest statistical computational challenge in genetic epidemiology is to
identify and characterize the genes that interact with other genes and environment factors …

With the availability of high-density genomic data containing millions of single nucleotide
polymorphisms and tens or hundreds of thousands of individuals, genetic association study …

Motivation: The sequencing of the human genome has made it possible to identify an
informative set of> 1 million single nucleotide polymorphisms (SNPs) across the genome …

Association studies have enabled the exploration of alternative, more efficient methods for
early detection, prevention and treatment of diseases by providing valuable insight into their …

Genome-wide association study (GWAS) is a powerful study design to identify genetic
variants of a trait and, in particular, detect the association between common single …