Learn to use GVS (Genome Variation Server), a comprehensive database that provides quick access to all data found in both the dbSNP and HapMap databases and includes specialized data from other projects. The database includes a suite of analysis tools such as linkage disequilibrium plots, tag SNPs, merging populations, and more. In addition you can upload our own data and use the GVS analysis and visualization tools. If your research involves genetic variation and SNPs, learn how to use this valuable tool for your analysis needs.

You will learn:

  • to search for variation by keyword or by sequence
  • to obtain haplotype, linkage disequilibrium and other types of variation data
  • to download specific and targeted data


There are no related tutorials.


Variation & Medical : Resources that include information about sequence variation, phenotypes, or medically-relevant conditions.


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Tip of the Week: Genome Variation Tour III: Today's tip is the continuation of researching a single SNP in an individual genome. Trey will use a dbSNP RS ID to find linkage disequilibrium information between a SNP of interest and SNPs in the re...

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Recent BioMed Central research articles citing this resource

van der Velde Joeri K. et al., GAVIN: Gene-Aware Variant INterpretation for medical sequencing. Genome Biology (2017) doi:10.1186/s13059-016-1141-7

Cruz-Correa Marcia et al., Hereditary cancer syndromes in Latino populations: genetic characterization and surveillance guidelines. Hereditary Cancer in Clinical Practice (2017) doi:10.1186/s13053-017-0063-z

Patel Y. Ronak et al., ClinGen Pathogenicity Calculator: a configurable system for assessing pathogenicity of genetic variants. Genome Medicine (2017) doi:10.1186/s13073-016-0391-z

Au Hang Chun et al., INDELseek: detection of complex insertions and deletions from next-generation sequencing data Human and rodent genomics. BMC Genomics (2017) doi:10.1186/s12864-016-3449-9

Yen L. Jennifer et al., A variant by any name: quantifying annotation discordance across tools and clinical databases. Genome Medicine (2017) doi:10.1186/s13073-016-0396-7