Evidence map›Paper›PMID 30311370›Full record

ArticleHuman mutation2018

Adapting crowdsourced clinical cancer curation in CIViC to the ClinGen minimum variant level data community-driven standards.

Arpad M Danos, Deborah I Ritter, Alex H Wagner, Kilannin Krysiak, Dmitriy Sonkin, Christine Micheel, Matthew McCoy, Shruti Rao, Gordana Raca, Simina M Boca and 11 more

Abstract read
In one paragraph

Article in Human mutation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

  1. Article
  2. New Gain-of-Function Mutations Prioritize Mechanisms of HER2 Activation.medRxiv : the preprint server for health sciences · 2025
    Article
  3. Developing a disease-specific annotation protocol for VHL gene curation using Hypothes.is.Database : the journal of biological databases and curation · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
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

21 authors.

Arpad M DanosMcDonnell Genome Institute, Washington University School of Medicine, Saint Louis, Missouri.ORCID 0000-0001-9815-2288
Deborah I RitterBaylor College of Medicine, Houston, Texas.
Alex H WagnerMcDonnell Genome Institute, Washington University School of Medicine, Saint Louis, Missouri.ORCID 0000-0002-2502-8961
Kilannin KrysiakMcDonnell Genome Institute, Washington University School of Medicine, Saint Louis, Missouri.
Dmitriy SonkinBiometric Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Rockville, Maryland.ORCID 0000-0002-1649-0652
Christine MicheelVanderbilt-Ingram Cancer Center, Nashville, Tennessee.
Matthew McCoyGeorgetown Lombardi Comprehensive Cancer Center, Washington, District of Columbia.
Shruti RaoGeorgetown Lombardi Comprehensive Cancer Center, Washington, District of Columbia.
Gordana RacaKeck School of Medicine, University of Southern California, Los Angeles, California.
Simina M BocaGeorgetown Lombardi Comprehensive Cancer Center, Washington, District of Columbia.
Angshumoy RoyBaylor College of Medicine, Houston, Texas.
Erica K BarnellMcDonnell Genome Institute, Washington University School of Medicine, Saint Louis, Missouri.
Joshua F McMichaelMcDonnell Genome Institute, Washington University School of Medicine, Saint Louis, Missouri.
Susanna KiwalaMcDonnell Genome Institute, Washington University School of Medicine, Saint Louis, Missouri.
Adam C CoffmanMcDonnell Genome Institute, Washington University School of Medicine, Saint Louis, Missouri.
Lynzey KujanMcDonnell Genome Institute, Washington University School of Medicine, Saint Louis, Missouri.
Shashikant KulkarniBaylor College of Medicine, Houston, Texas.
Malachi GriffithMcDonnell Genome Institute, Washington University School of Medicine, Saint Louis, Missouri.ORCID 0000-0002-6388-446X
Subha MadhavanGeorgetown Lombardi Comprehensive Cancer Center, Washington, District of Columbia.
Obi L GriffithMcDonnell Genome Institute, Washington University School of Medicine, Saint Louis, Missouri.ORCID 0000-0002-0843-4271
Clinical Genome Resource Somatic Working Group and Clinical Interpretation of Variants in Cancer team members

Funding

Maternal Morbidity and Mortality: Risk Factors, Early Detection and Personalized InterventionUL1TR001409 · NCATS · GEORGETOWN UNIVERSITY · PI GONDRE-LEWIS, MARJORIE C, MELLMAN, THOMAS A · 2015 to 2024
$37.8M
The Future of PharmGKB Funding Under NHGRIU41HG009649 · NHGRI · STANFORD UNIVERSITY · PI BUSTAMANTE, CARLOS DANIEL · 2017 to 2020
$13.4M
The Clinical Genome Resource - Expert Curation and EHR IntegrationU41HG009650 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BERG, JONATHAN S, GODDARD, KATRINA A. · 2017 to 2020
$13.3M
Clinically Relevant Genome Variation DatabaseU01HG007436 · NHGRI · STANFORD UNIVERSITY · PI BUSTAMANTE, CARLOS DANIEL, PLON, SHARON E. · 2013 to 2016
$10.5M
A Knowledge Base for Clinically Relevant Genes and VariantsU01HG007437 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BERG, JONATHAN S, EVANS, JAMES PHILIP · 2013 to 2016
$9.0M
DEVELOPMENT OF INFORMATICS RESOURCES FOR INTERPRETATION OF CLINICALLY ACTIONABLE VARIANTS IN CANCERU01CA209936 · NCI · WASHINGTON UNIVERSITY · PI GRIFFITH, OBI L. · 2016 to 2018
$1.0M
Integrated Analysis & Interpretation of Whole Genome Exome & Transcriptome SequenR00HG007940 · NHGRI · WASHINGTON UNIVERSITY · PI GRIFFITH, MALACHI · 2017 to 2019
$724k
Integration of 3D primary tumor drug-profiling with patient-specific drug gene networks for recommending targeted cancer therapies (2 of 2).R21CA220398 · NCI · GEORGETOWN UNIVERSITY · PI BOCA, SIMINA MARIA · 2017 to 2019
$497k
A Collaborative Reporting Tool For Interpreting Genomic Events In Lung CancersF32CA206247 · NCI · WASHINGTON UNIVERSITY · PI WAGNER, ALEX HANDLER · 2017 to 2018
$122k
NCATS NIH HHS UL1 TR001409NCI NIH HHS F32 CA206247NCI NIH HHS R21 CA220398NCI NIH HHS U01 CA209936NHGRI NIH HHS R00 HG007940NHGRI NIH HHS U01 HG007436NHGRI NIH HHS U01 HG007437NHGRI NIH HHS U41 HG009649NHGRI NIH HHS U41 HG009650
6 · The paper itself

Abstract

Harmonization of cancer variant representation, efficient communication, and free distribution of clinical variant-associated knowledge are central problems that arise with increased usage of clinical next-generation sequencing. The Clinical Genome Resource (ClinGen) Somatic Working Group (WG) developed a minimal variant level data (MVLD) representation of cancer variants, and has an ongoing collaboration with Clinical Interpretations of Variants in Cancer (CIViC), an open-source platform supporting crowdsourced and expert-moderated cancer variant curation. Harmonization between MVLD and CIViC variant formats was assessed by formal field-by-field analysis. Adjustments to the CIViC format were made to harmonize with MVLD and support ClinGen Somatic WG curation activities, including four new features in CIViC: (1) introduction of an assertions feature for clinical variant assessment following the Association of Molecular Pathologists (AMP) guidelines, (2) group-level curation tracking for organizations, enabling member transparency, and curation effort summaries, (3) introduction of ClinGen Allele Registry IDs to CIViC, and (4) mapping of CIViC assertions into ClinVar submission with automated submissions. A generalizable workflow utilizing MVLD and new CIViC features is outlined for use by ClinGen Somatic WG task teams for curation and submission to ClinVar, and provides a model for promoting harmonization of cancer variant representation and efficient distribution of this information.

Indexed as

Databases, GeneticGenetic TestingGenetic VariationGenome, HumanGenomicsHigh-Throughput Nucleotide SequencingHumansNeoplasmsSoftwarecancerCIViCClinGenClinVarcuration

Identifiers

PMID30311370
PMCPMC6282863

What OpenQuestion holds

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Registered trials

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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.