Nucleic Acids Research · 2015 · 2.9K citations · 16 references
Life SciencesGeneticsMolecular GeneticsGenomic InformaticsGenomicsMedical GeneticsGermline Variant InterpretationMutation AnalysisSomatic Variant InterpretationVariant AnalysisVariant ClassificationVariant InterpretationClinical Significance ReportingClinical Variant ReportingClinvar CurationGenomic Variant InterpretationGermline Variant ClassificationValidation ReportsVariant AnnotationVariant Nomenclature Standards
ClinVar (https://www.ncbi.nlm.nih.gov/clinvar/) at the National Center for Biotechnology Information (NCBI) is a freely available archive for interpretations of clinical significance of variants for reported conditions. The database includes germline and somatic variants of any size, type or genomic location. Interpretations are submitted by clinical testing laboratories, research laboratories, locus-specific databases, OMIM®, GeneReviews™, UniProt, expert panels and practice guidelines. In NCBI's Variation submission portal, submitters upload batch submissions or use the Submission Wizard for single submissions. Each submitted interpretation is assigned an accession number prefixed with SCV. ClinVar staff review validation reports with data types such as HGVS (Human Genome Variation Society) expressions; however, clinical significance is reported directly from submitters. Interpretations are aggregated by variant-condition combination and assigned an accession number prefixed with RCV. Clinical significance is calculated for the aggregate record, indicating consensus or conflict in the submitted interpretations. ClinVar uses data standards, such as HGVS nomenclature for variants and MedGen identifiers for conditions. The data are available on the web as variant-specific views; the entire data set can be downloaded via ftp. Programmatic access for ClinVar records is available through NCBI's E-utilities. Future development includes providing a variant-centric XML archive and a web page for details of SCV submissions.
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Sue Richards, Nazneen Aziz, Sherri J. Bale et al. · Genetics in Medicine · 2015 · 32.2K citations · Full text
ClinVar: public archive of relationships among sequence variation and human phenotype
Melissa Landrum, Jennifer M. Lee, Wonhee Jang et al. · Nucleic Acids Research · 2013 · 3.7K citations · Full text