Evidence map›Paper›PMID 30311378›Full record

ArticleHuman mutation2018

Scaling resolution of variant classification differences in ClinVar between 41 clinical laboratories through an outlier approach.

Steven M Harrison, Jill S Dolinksy, Wenjie Chen, Christin D Collins, Soma Das, Joshua L Deignan, Kathryn B Garber, John Garcia, Olga Jarinova, Amy E Knight Johnson and 17 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 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Review
  3. The Clinical Genome Resource (ClinGen): Advancing genomic knowledge through global curation.Genetics in medicine : official journal of the American College of Medical Genetics · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Clinical implications of conflicting variant interpretations in the cancer genetics clinic.Genetics in medicine : official journal of the American College of Medical Genetics · 2023
    Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

27 authors.

Steven M HarrisonLaboratory for Molecular Medicine, Partners HealthCare Personalized Medicine, Cambridge, Massachusetts.ORCID 0000-0002-9614-9111
Jill S DolinksyAmbry Genetics, Aliso Viejo, California.
Wenjie ChenIntegrated Genetics, Laboratory Corporation of America Holdings, Westborough, Massachusetts.
Christin D CollinsEGL Genetics, Tucker, Georgia.
Soma DasDepartment of Human Genetics, The University of Chicago, Chicago, Illinois.
Joshua L DeignanDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
Kathryn B GarberEGL Genetics, Tucker, Georgia.
John GarciaInvitae Corporation, San Francisco, California.
Olga JarinovaDepartment of Genetics, Children's Hospital of Eastern Ontario, Ottawa, Ontario, Canada.
Amy E Knight JohnsonDepartment of Human Genetics, The University of Chicago, Chicago, Illinois.
Juha W KoskenvuoBlueprint Genetics, Helsinki, Finland.
Hane LeeDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.
Rong MaoARUP Laboratories, Salt Lake City, Utah.
Rebecca Mar-HeymingCounsyl, South San Francisco, California.
Andrew S McFaddinDepartment of Laboratory Medicine, University of Washington, Seattle, Washington.
Krista MoyerCounsyl, South San Francisco, California.
Narasimhan NaganIntegrated Genetics, Laboratory Corporation of America Holdings, Westborough, Massachusetts.ORCID 0000-0002-3860-5799
Stefan RentasDivision of Genomic Diagnostics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Avni B SantaniDivision of Genomic Diagnostics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Eija H SeppäläBlueprint Genetics, Helsinki, Finland.
Brian H ShirtsDepartment of Laboratory Medicine, University of Washington, Seattle, Washington.
Timothy TidwellARUP Laboratories, Salt Lake City, Utah.
Scott TopperInvitae Corporation, San Francisco, California.
Lisa M VincentGeneDx, Gaithersburg, Maryland.
Kathy VinetteMolecular Diagnostics Laboratory, A. I. duPont Hospital for Children, Wilmington, Delaware.
Heidi L RehmLaboratory for Molecular Medicine, Partners HealthCare Personalized Medicine, Cambridge, Massachusetts.ORCID 0000-0002-6025-0015
ClinGen Sequence Variant Inter-Laboratory Discrepancy Resolution Working Group

Funding

Resource ProjectU41HG006834 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI MARTIN, CHRISTA LESE, REHM, HEIDI L · 2013 to 2020
$26.9M
The Clinical Genome Resource - Expert Curation and EHR IntegrationU41HG009650 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BERG, JONATHAN S · 2017 to 2020
$13.3M
NHGRI NIH HHS U41 HG006834NHGRI NIH HHS U41 HG009650
6 · The paper itself

Abstract

ClinVar provides open access to variant classifications shared from many clinical laboratories. Although most classifications are consistent across laboratories, classification differences exist. To facilitate resolution of classification differences on a large scale, clinical laboratories were encouraged to reassess outlier classifications of variants with medically significant differences (MSDs). Outliers were identified by first comparing ClinVar submissions from 41 clinical laboratories to detect variants with MSDs between the laboratories (650 variants). Next, MSDs were filtered for variants with ≥3 classifications (244 variants), of which 87.6% (213 variants) had a majority consensus in ClinVar, thus allowing for identification of outlier classifications in need of reassessment. Laboratories with outlier classifications were sent a custom report and encouraged to reassess variants. Results were returned for 204 (96%) variants, of which 62.3% (127) were resolved. Of those 127, 64.6% (82) were resolved due to reassessment prompted by this study and 35.4% (45) resolved by a previously completed reassessment. This study demonstrates a scalable approach to classification resolution and capitalizes on the value of data sharing within ClinVar. These activities will help the community move toward more consistent variant classifications, which will improve the care of patients with, or at risk for, genetic disorders.

Indexed as

Databases, GeneticGenetic TestingGenetic VariationGenome, HumanHumansclinvardata sharingvariant interpretation

Identifiers

PMID30311378
PMCPMC6188667

What OpenQuestion holds

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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.