Evidence map›Paper›PMID 28782058›Full record

ArticleJCO precision oncology2017

Consistency of

Stephen E Lincoln, Shan Yang, Melissa S Cline, Yuya Kobayashi, Can Zhang, Scott Topper, David Haussler, Benedict Paten, Robert L Nussbaum

Open access · hybridAbstract read
In one paragraph

Article in JCO precision oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 4% of its field
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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Guideline
  2. Breast cancer screening for transgender individuals with breast cancer susceptibility genes.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2025
    Review
  3. Early breast cancer in youngTherapeutic advances in medical oncology · 2025
    Review
  4. 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
  5. Article
  6. Article
  7. Article
  8. Variant classification changes over time in BRCA1 and BRCA2.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Article
  9. Article
  10. Lessons learned from two decades of BRCA1 and BRCA2 genetic testing: the evolution of data sharing and variant classification.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Review
  11. Article
  12. Article
  13. Article
  14. Navigating the nuances of clinical sequence variant interpretation in Mendelian disease.Genetics in medicine : official journal of the American College of Medical Genetics · 2018
    Review
  15. Article
  16. Inherited Cancer in the Age of Next-Generation Sequencing.Biological research for nursing · 2018
    Review
  17. Clinical testing ofNPJ genomic medicine · 2018
    Article
  18. A new era in the interpretation of human genomic variation.Genetics in medicine : official journal of the American College of Medical Genetics · 2017
    Article
  19. Sources of discordance among germ-line variant classifications in ClinVar.Genetics in medicine : official journal of the American College of Medical Genetics · 2017
    Article
  20. Review
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

9 authors at 1 institution in 1 country.

Stephen E LincolnInvitae, San Francisco, California.
Shan YangInvitae, San Francisco, California.
Melissa S ClineUniversity of California, Santa Cruz.
Yuya KobayashiInvitae, San Francisco, California.
Can ZhangUniversity of California, Santa Cruz.
Scott TopperInvitae, San Francisco, California.
David HausslerUniversity of California, Santa Cruz.
Benedict PatenUniversity of California, Santa Cruz.
Robert L NussbaumInvitae, San Francisco, California.
University of California, Santa Cruz · US

Funding

UCSC Center for Genomic Science, and Minority Outreach ProgramP41HG002371 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI HAUSSLER, DAVID H · 2001 to 2011
$34.8M
Training SubprojectU54HG007990 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI HAUSSLER, DAVID H, PATTERSON, DAVID · 2014 to 2018
$14.8M
NHGRI NIH HHS P41 HG002371NHGRI NIH HHS U54 HG007990
6 · The paper itself

Abstract

backgroundGenetic tests of the cancer predisposition genes

methodsClassifications of more than 2000

resultsPer-variant concordance was 98.5% (CI 97.9%-99.0%). All discordant variants were rare; thus, per patient concordance was estimated to be higher: 99.7%. ClinVar facilitated resolution of many of the discordant variants, and concordance increased to 99.0% per variant and 99.8% per patient when reclassified (but not yet resubmitted) variants and submission errors were addressed. Most of the remaining discordances appeared to involve either legitimate differences in expert judgment regarding particular scientific evidence, or were classifications that predated availability of important scientific evidence.

conclusionsSignificant classification disagreements among the professional clinical laboratories represented in ClinVar are infrequent yet important. The unrestricted sharing of clinical genetic data allows detailed interlaboratory quality control and peer review, as exemplified by this study.

Identifiers

PMID28782058
PMCPMC5542009
OpenAlexW2609350370

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.