Genetic association studies: web-based resources for effective screening and assessment of candidate genes and pathways.
The increased availability of polymorphism resources for humans and high-throughput genotyping technologies account for the large number of genetic associations published every month. Resources that allow one to synthesise published data quickly and effectively are needed to keep up to date with such information. In addition, the full exploitation of data from the HapMap project will depend on the availability of tools for the analysis of clinical and phenotypic information at the genome-wide level. Here, web resources created to aid access to such data, starting from a gene, disease or pathway of interest, are reviewed.
Soranzo
Nicole
N
Department of Biology, University College London, Gower Street, London WC1E 6BT, UK. n.soranzo@ucl.ac.uk
D030541:Databases, Genetic; D005820:Genetic Testing / Q000379:methods*; D005838:Genotype; D006801:Humans; D020407:Internet; D010641:Phenotype; D011110:Polymorphism, Genetic