ClinVar: public archive of relationships among sequence variation and human phenotype

By M. Landrum, Jennifer M. Lee, George R. Riley, W. Jang, W. Rubinstein, D. Church, Donna R. Maglott. 2013

3,237 citations recorded by the source corpus.

ClinVar (http://www.ncbi.nlm.nih.gov/clinvar/) provides a freely available archive of reports of relationships among medically important variants and phenotypes. ClinVar accessions submissions reporting human variation, interpretations of the relationship of that variation to human health and the evidence supporting each interpretation. The database is tightly coupled with dbSNP and dbVar, which maintain information about the location of variation on human assemblies. ClinVar is also based on the phenotypic descriptions maintained in MedGen (http://www.ncbi.nlm.nih.gov/medgen). Each ClinVar record represents the submitter, the variation and the phenotype, i.e. the unit that is assigned an accession of the format SCV000000000.0. The submitter can update the submission at any time, in which case a new version is assigned. To facilitate evaluation of the medical importance of each variant, ClinVar aggregates submissions with the same variation/phenotype combination, adds value from other NCBI databases, assigns a distinct accession of the format RCV000000000.0 and reports if there are conflicting clinical interpretations. Data in ClinVar are available in multiple formats, including html, download as XML, VCF or tab-delimited subsets. Data from ClinVar are provided as annotation tracks on genomic RefSeqs and are used in tools such as Variation Reporter (http://www.ncbi.nlm.nih.gov/variation/tools/reporter), which reports what is known about variation based on user-supplied locations.

Subfields: Genetics, Molecular Biology, Computational Biology & Bioinformatics

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In Genetics

  1. Abhishek Niroula
  2. Peter N. Robinson
  3. B. Feng
  4. Eric Boerwinkle
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In Molecular Biology

  1. Abhishek Niroula
  2. Peter N. Robinson
  3. Mauno Vihinen
  4. Joseph A. Marsh
  5. B. Livesey
  6. B. Feng
  7. Donna R. Maglott
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In Computational Biology & Bioinformatics

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  6. Mark J. Daly
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