Reference : Simple ClinVar:an interactive web server to explore and retrieve gene and disease var...
Scientific journals : Article
Life sciences : Genetics & genetic processes
Systems Biomedicine
Simple ClinVar:an interactive web server to explore and retrieve gene and disease variants 1 aggregated in ClinVar database
Pérez-Palma, Eduardo []
Gramm, Marie []
Nürnberg, Peter []
May, Patrick mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Lal, Dennis []
Nucleic Acids Research
Oxford University Press
Yes (verified by ORBilu)
United Kingdom
[en] ClinVar ; Variant interpretation ; Disease
[en] Clinical genetic testing has exponentially expanded in recent years, leading to an overwhelming amount of patient variants with high variability in pathogenicity and heterogeneous phenotypes. A large part of the variant level data are comprehensively aggregated in public databases such as ClinVar. However, the ability to explore this rich resource and answer general questions such as “How many genes inside ClinVar are associated with a specific disease? or “In which part of the protein are patient variants located?” is limited and requires advanced bioinformatics processing. Here, we present Simple ClinVar ( a web- server application that is able to provide variant, gene, and disease level summary statistics based on the entire ClinVar database in a dynamic and user-friendly web-interface. Overall, our web application is able to interactively answer basic questions regarding genetic variation and its known relationships to disease. By typing a disease term of interest, t he user can identify in seconds the genes and phenotypes most frequently reported to ClinVar. Subsets of variants can then be further explored, filtered, or mapped and visualized in the corresponding protein sequences. Our website will follow ClinVar monthly releases and provide easy access to rich ClinVar resources to a broader audience including basic and clinical scientists.
Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group)

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