Single nucleotide polymorphisms (SNPs) are the most abundant type of genomic variation
and the most accessible to genotype in large cohorts. However, they individually explain a …

Background The identification of disease-associated genes using single nucleotide
polymorphisms (SNPs) has been increasingly reported. In particular, the Affymetrix Mapping …

Large-scale genome-wide association (GWA) studies using thousands of high-density SNP
microarrays are becoming an essential tool in the search for loci related to heritable …

While the R software is becoming a standard for the analysis of genetic data, classical
population genetics tools are being challenged by the increasing availability of genomic …

The SNP Consortium website (http://snp. cshl. org) has undergone many changes since its
initial conception three years ago. The database back end has been changed from the …

Background Whole genome association studies using highly dense single nucleotide
polymorphisms (SNPs) are a set of methods to identify DNA markers associated with …

Background Genotypes obtained with commercial SNP arrays have been extensively used
in many large case-control or population-based cohorts for SNP-based genome-wide …

Motivation: The use of dense single nucleotide polymorphism (SNP) data in genetic linkage
analysis of large pedigrees is impeded by significant technical, methodological and …

In Genomewide association (GWA) studies investigating thousands of SNPs, large sample
sizes are needed to obtain a reasonable power after correction for multiple testing. To obtain …

Description: Exploration of SNP array-based genomic data typically requires using specific
software. However, the wide availability of analysis software brings extra challenges …