ClinVar: improving access to variant interpretations and supporting evidence

Melissa Landrum(National Institutes of Health), Jennifer M. Lee(National Institutes of Health), Mark J. Benson(National Institutes of Health), Garth Brown(National Institutes of Health), Chen Chao(National Institutes of Health), Shanmuga Chitipiralla(National Institutes of Health), Baoshan Gu(National Institutes of Health), Jennifer Hart(National Institutes of Health), Douglas Hoffman(National Institutes of Health), Wonhee Jang(National Institutes of Health), K. V. Karapetyan(National Institutes of Health), Kenneth Katz(National Institutes of Health), Chunlei Liu(National Institutes of Health), Zenith Maddipatla(National Institutes of Health), Adriana Malheiro(National Institutes of Health), Kurt McDaniel(National Institutes of Health), Michael Ovetsky(National Institutes of Health), George Riley(National Institutes of Health), George Zhou(National Institutes of Health), J. Bradley Holmes(National Institutes of Health), B Kattman(National Institutes of Health), Donna Maglott(National Institutes of Health)
Nucleic Acids Research
November 17, 2017
Cited by 4,422Open Access
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Abstract

ClinVar (https://www.ncbi.nlm.nih.gov/clinvar/) is a freely available, public archive of human genetic variants and interpretations of their significance to disease, maintained at the National Institutes of Health. Interpretations of the clinical significance of variants are submitted by clinical testing laboratories, research laboratories, expert panels and other groups. ClinVar aggregates data by variant-disease pairs, and by variant (or set of variants). Data aggregated by variant are accessible on the website, in an improved set of variant call format files and as a new comprehensive XML report. ClinVar recently started accepting submissions that are focused primarily on providing phenotypic information for individuals who have had genetic testing. Submissions may come from clinical providers providing their own interpretation of the variant ('provider interpretation') or from groups such as patient registries that primarily provide phenotypic information from patients ('phenotyping only'). ClinVar continues to make improvements to its search and retrieval functions. Several new fields are now indexed for more precise searching, and filters allow the user to narrow down a large set of search results.


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