Evidence map›Paper›PMID 26582918›Full record

ArticleNucleic acids research2016

ClinVar: public archive of interpretations of clinically relevant variants.

Melissa J Landrum, Jennifer M Lee, Mark Benson, Garth Brown, Chen Chao, Shanmuga Chitipiralla, Baoshan Gu, Jennifer Hart, Douglas Hoffman, Jeffrey Hoover and 9 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,662 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,662citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1,662 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Review
  7. Article
  8. Article
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  14. The GPCRDiabetologia · 2026
    Article
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  18. Review
  19. Review
  20. A recurrentBiochemistry and biophysics reports · 2026
    Article

1,602 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Melissa J LandrumNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20893, USA landrum@ncbi.nlm.nih.gov.
Jennifer M LeeNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20893, USA.
Mark BensonNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20893, USA.
Garth BrownNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20893, USA.
Chen ChaoNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20893, USA.
Shanmuga ChitipirallaNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20893, USA.
Baoshan GuNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20893, USA.
Jennifer HartNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20893, USA.
Douglas HoffmanNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20893, USA.
Jeffrey HooverNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20893, USA.
Wonhee JangNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20893, USA.
Kenneth KatzNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20893, USA.
Michael OvetskyNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20893, USA.
George RileyNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20893, USA.
Amanjeev SethiNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20893, USA.
Ray TullyNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20893, USA.
Ricardo Villamarin-SalomonNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20893, USA.
Wendy RubinsteinNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20893, USA.
Donna R MaglottNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20893, USA.

Funding

National Biomedical Information ServicesZIHLM200888 · NLM · NATIONAL LIBRARY OF MEDICINE · PI PALTOO, DINA · 2009 to 2025
$5200.7M
Intramural NIH HHS
6 · The paper itself

Abstract

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.

Indexed as

Databases, GeneticGenetic VariationDiseaseGenesGenome, HumanHumans

Identifiers

PMID26582918
PMCPMC4702865

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.