Evidence map›Paper›PMID 34923710›Full record

ArticleHuman mutation2022

Harmonizing variant classification for return of results in the All of Us Research Program.

Steven M Harrison, Christina A Austin-Tse, Serra Kim, Matthew Lebo, Annette Leon, David Murdock, Aparna Radhakrishnan, Brian H Shirts, Marcie Steeves, Eric Venner and 3 more

Abstract read
In one paragraph

Article in Human mutation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Genomic analysis identifies risk factors in restless legs syndrome.medRxiv : the preprint server for health sciences · 2023
    Article
  13. TheAnnual review of biomedical data science · 2023
    Review
  14. 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

13 authors.

Steven M HarrisonBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.ORCID 0000-0002-9614-9111
Christina A Austin-TseLaboratory for Molecular Medicine, Mass General Brigham, Boston, Massachusetts, USA.ORCID 0000-0001-6492-6716
Serra KimColor Health, Burlingame, California, USA.
Matthew LeboLaboratory for Molecular Medicine, Mass General Brigham, Boston, Massachusetts, USA.
Annette LeonColor Health, Burlingame, California, USA.
David MurdockHuman Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA.
Aparna RadhakrishnanUniversity of Washington Medical Center, Seattle, Washington, USA.
Brian H ShirtsUniversity of Washington Medical Center, Seattle, Washington, USA.
Marcie SteevesLaboratory for Molecular Medicine, Mass General Brigham, Boston, Massachusetts, USA.
Eric VennerHuman Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA.
Richard A GibbsHuman Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA.
Gail P JarvikUniversity of Washington Medical Center, Seattle, Washington, USA.
Heidi L RehmBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.ORCID 0000-0002-6025-0015

Funding

The Broad-LMM-Color Genome Center for All of UsOT2OD002750 · OD · BROAD INSTITUTE, INC. · PI GABRIEL, STACEY, REHM, HEIDI L · 2018 to 2023
$264.7M
The Baylor-Hopkins Clinical Genomics Center for All of UsOT2OD002751 · OD · BAYLOR COLLEGE OF MEDICINE · PI BOERWINKLE, ERIC A., DOHENY, KIMBERLY F · 2018 to 2023
$152.8M
Northwest Genomics Center for All of UsOT2OD002748 · OD · UNIVERSITY OF WASHINGTON · PI EICHLER, EVAN, JARVIK, GAIL PAIRITZ · 2018 to 2023
$65.4M
NIH HHS OT2 OD002748NIH HHS OT2 OD002750NIH HHS OT2 OD002751
6 · The paper itself

Abstract

The All of Us Research Program (AoURP) is a historic effort to accelerate research and improve healthcare by generating and collating data from one million people in the United States. Participants will have the option to receive results from their genome analysis, including actionable findings in 59 gene-disorder pairs for which disorder-associated variants are recommended for return by the American College of Medical Genetics and Genomics. To ensure consistent reporting across the AoURP, in a prelaunch study the four participating clinical laboratories shared all variant classifications in the 59 genes of interest from their internal databases. Of the 11,813 unique variants classified by at least two of the four laboratories, classifications were concordant with regard to reportability for 99.1% (11,711), with only 0.9% (102) having reportability differences. Through variant reassessment, data sharing, and discussion of rationale, participating laboratories resolved all 102 reportable differences. These approaches will be maintained during routine AoU reporting to ensure continuous classification harmonization and consistent reporting within AoURP.

Indexed as

Genome, HumanPopulation HealthGenetic TestingGenetic VariationGenomicsHumansUnited StatesAll of Us Research Programdata sharingvariant classification

Identifiers

PMID34923710
PMCPMC9206690

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.