Evidence map›Paper›PMID 25904639›Full record

ArticleJournal of medical genetics2015

Canadian Open Genetics Repository (COGR): a unified clinical genomics database as a community resource for standardising and sharing genetic interpretations.

Jordan Lerner-Ellis, Marina Wang, Shana White, Matthew S Lebo, Canadian Open Genetics Repository Group

Abstract read
In one paragraph

Article in Journal of medical genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Embracing the value of research data: Introducing the JCHLA/JABSC Data Sharing Policy.The journal of the Canadian Health Libraries Association · 2021
    Article
  8. Article
  9. Reclassification ofJournal of gynecologic oncology · 2020
    Article
  10. Review
  11. Variant classification changes over time in BRCA1 and BRCA2.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Article
  12. Article
  13. Molecular-based classification algorithm for endometrial carcinoma categorizes ovarian endometrioid carcinoma into prognostically significant groups.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2017
    Article
  14. Article
  15. 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

5 authors.

Jordan Lerner-EllisLaboratory Medicine and Pathobiology, University of Toronto & Mount Sinai Hospital, Toronto, Ontario, Canada Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
Marina WangDepartment of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0002-6051-4308
Shana WhiteLaboratory for Molecular Medicine, Partners HealthCare Personalized Medicine, Cambridge, Massachusetts, USA Massachusetts General Hospital, Boston, Massachusetts, USA.
Matthew S LeboLaboratory for Molecular Medicine, Partners HealthCare Personalized Medicine, Cambridge, Massachusetts, USA Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Canadian Open Genetics Repository Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Canadian Open Genetics Repository is a collaborative effort for the collection, storage, sharing and robust analysis of variants reported by medical diagnostics laboratories across Canada. As clinical laboratories adopt modern genomics technologies, the need for this type of collaborative framework is increasingly important.

methodsA survey to assess existing protocols for variant classification and reporting was delivered to clinical genetics laboratories across Canada. Based on feedback from this survey, a variant assessment tool was made available to all laboratories. Each participating laboratory was provided with an instance of GeneInsight, a software featuring versioning and approval processes for variant assessments and interpretations and allowing for variant data to be shared between instances. Guidelines were established for sharing data among clinical laboratories and in the final outreach phase, data will be made readily available to patient advocacy groups for general use.

resultsThe survey demonstrated the need for improved standardisation and data sharing across the country. A variant assessment template was made available to the community to aid with standardisation. Instances of the GeneInsight tool were provided to clinical diagnostic laboratories across Canada for the purpose of uploading, transferring, accessing and sharing variant data.

conclusionsAs an ongoing endeavour and a permanent resource, the Canadian Open Genetics Repository aims to serve as a focal point for the collaboration of Canadian laboratories with other countries in the development of tools that take full advantage of laboratory data in diagnosing, managing and treating genetic diseases.

Indexed as

Databases, GeneticGenetic VariationSoftwareCanadaGenome, HumanGenomicsHumansInformation DisseminationSurveys and QuestionnairesClinical geneticsDiagnostics testsEvidence Based PracticeGeneticsGenetic screening/counselling

Identifiers

PMID25904639
PMCPMC4501169

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.