Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

General information

URL: http://www.ncbi.nlm.nih.gov/clinvar/
Full name: ClinVar
Description: ClinVar aggregates information about genomic variation and its relationship to human health.
Year founded: 2014
Last update: NA
Version: v1.0
Accessibility:
Manual:
Accessible
Real time : Checking...
Country/Region: United States

Classification & Tag

Data type:
DNA
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: National Center for Biotechnology Information
Address: 8600 Rockville Pike,Bethesda,MD 20894,USA
City: Bethesda
Province/State: MD
Country/Region: United States
Contact name (PI/Team): ClinVar team
Contact email (PI/Helpdesk): clinvar@ncbi.nlm.nih.gov

Publications

29165669
ClinVar: improving access to variant interpretations and supporting evidence. [PMID: 29165669]
Landrum MJ, Lee JM, Benson M, Brown GR, Chao C, Chitipiralla S, Gu B, Hart J, Hoffman D, Jang W, Karapetyan K, Katz K, Liu C, Maddipatla Z, Malheiro A, McDaniel K, Ovetsky M, Riley G, Zhou G, Holmes JB, Kattman BL, Maglott DR.

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.

Nucleic Acids Res. 2018:46(D1) | 1595 Citations (from Europe PMC, 2024-04-06)
30311387
ClinVar at five years: Delivering on the promise. [PMID: 30311387]
Landrum MJ, Kattman BL.

The increasing application of genetic testing for determining the causes underlying Mendelian, pharmacogenetic, and somatic phenotypes has accelerated the discovery of novel variants by clinical genetics laboratories, resulting in a critical need for interpreting the significance of these variants and presenting considerable challenges. Launched in 2013 at the National Center for Biotechnology Information, National Institutes of Health, ClinVar is a public database for clinical laboratories, researchers, expert panels, and others to share their interpretations of variants with their evidence. The database holds 600,000 submitted records from 1,000 submitters, representing 430,000 unique variants. ClinVar encourages submissions of variants reviewed by expert panels, as expert consensus confers a high standard. Aggregating data from many groups in a single database allows comparison of interpretations, providing transparency into the concordance or discordance of interpretations. In its first five years, ClinVar has successfully provided a gateway for the submission of medically relevant variants and interpretations of their significance to disease. It has become an invaluable resource for the clinical genetics community seeking guidance from consensus interpretations. Building on the platform of providing transparency and leveraging aggregation of variant interpretations, ClinVar is now well positioned to help the clinical genetics community improve interpretations.

Hum Mutat. 2018:39(11) | 94 Citations (from Europe PMC, 2024-04-06)
26582918
ClinVar: public archive of interpretations of clinically relevant variants. [PMID: 26582918]
Landrum MJ, Lee JM, Benson M, Brown G, Chao C, Chitipiralla S, Gu B, Hart J, Hoffman D, Hoover J, Jang W, Katz K, Ovetsky M, Riley G, Sethi A, Tully R, Villamarin-Salomon R, Rubinstein W, Maglott DR.

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. Published by Oxford University Press on behalf of Nucleic Acids Research 2015. This work is written by (a) US Government employee(s) and is in the public domain in the US.

Nucleic Acids Res. 2016:44(D1) | 1402 Citations (from Europe PMC, 2024-04-20)
24234437
ClinVar: public archive of relationships among sequence variation and human phenotype. [PMID: 24234437]
Landrum MJ, Lee JM, Riley GR, Jang W, Rubinstein WS, Church DM, Maglott DR.

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.

Nucleic Acids Res. 2014:42(Database issue) | 1418 Citations (from Europe PMC, 2024-04-20)

Ranking

All databases:
24/6000 (99.617%)
Genotype phenotype and variation:
8/852 (99.178%)
Health and medicine:
4/1394 (99.785%)
24
Total Rank
4,440
Citations
444
z-index

Community reviews

Not Rated
Data quality & quantity:
Content organization & presentation
System accessibility & reliability:

Word cloud

Related Databases

Citing
Cited by

Record metadata

Created on: 2015-06-20
Curated by:
Lina Ma [2019-04-19]
[2018-11-27]
Lina Ma [2018-06-07]
Lina Ma [2017-09-08]
Mengwei Li [2016-04-12]
Mengwei Li [2016-03-31]
Lin Liu [2016-01-29]
Lin Liu [2016-01-05]
Lina Ma [2015-12-29]
Mengwei Li [2015-12-02]
Mengwei Li [2015-06-27]