Evidence map›Paper›PMID 33110627›Full record

ReviewNPJ genomic medicine2020

Best practices for the analytical validation of clinical whole-genome sequencing intended for the diagnosis of germline disease.

Christian R Marshall, Shimul Chowdhury, Ryan J Taft, Mathew S Lebo, Jillian G Buchan, Steven M Harrison, Ross Rowsey, Eric W Klee, Pengfei Liu, Elizabeth A Worthey and 10 more

Open access · goldAbstract readReview
In one paragraph

Review in NPJ genomic medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 1 pooled it
12.1field-weighted citation impact, top 1% 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

86 citing papers in PubMed, 1 synthesis or guideline pooled it, 147 citations in OpenAlex.

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26 more citing papers are in PubMed but not listed here.

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

20 authors at 10 institutions in 2 countries.

Christian R MarshallDepartment of Paediatric Laboratory Medicine, Genome Diagnostics, The Hospital for Sick Children, Toronto, ON Canada.ORCID 0000-0002-4003-7671
Shimul ChowdhuryRady Children's Institute for Genomic Medicine, San Diego, CA USA.
Ryan J TaftIllumina Inc., San Diego, CA USA.
Mathew S LeboLaboratory for Molecular Medicine, Partners HealthCare Personalized Medicine, Cambridge, MA USA.ORCID 0000-0002-9733-5207
Jillian G BuchanStanford Medicine Clinical Genomics Program, Stanford Health Care, Stanford, CA USA.
Steven M HarrisonLaboratory for Molecular Medicine, Partners HealthCare Personalized Medicine, Cambridge, MA USA.ORCID 0000-0002-9614-9111
Ross RowseyDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN USA.
Eric W KleeDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN USA.
Pengfei LiuBaylor Genetics and Baylor College of Medicine, Houston, TX USA.
Elizabeth A WortheyHudsonAlpha Institute for Biotechnology, Huntsville, AL USA.
Vaidehi JobanputraMolecular Diagnostics, New York Genome Center, New York, NY USA.ORCID 0000-0003-0962-7873
David DimmockRady Children's Institute for Genomic Medicine, San Diego, CA USA.ORCID 0000-0001-6690-2523
Hutton M KearneyDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN USA.
David BickHudsonAlpha Institute for Biotechnology, Huntsville, AL USA.ORCID 0000-0002-8750-306X
Shashikant KulkarniBaylor Genetics and Baylor College of Medicine, Houston, TX USA.
Stacie L TaylorIllumina Inc., San Diego, CA USA.ORCID 0000-0001-6843-3505
John W BelmontIllumina Inc., San Diego, CA USA.
Dimitri J StavropoulosDepartment of Paediatric Laboratory Medicine, Genome Diagnostics, The Hospital for Sick Children, Toronto, ON Canada.
Niall J LennonBroad Institute of MIT and Harvard, Cambridge, MA USA.
Medical Genome Initiative
Broad Institute · USIllumina (United States) · USMayo Clinic in Arizona · USBaylor College of Medicine · USChildren’s Institute · USHospital for Sick Children · CAColumbia University Irving Medical Center · USHudsonAlpha Institute for Biotechnology · USUniversity of Alabama at Birmingham · USUniversity of Washington · US

Funding

UAB CF Research and Translation Core CenterP30DK072482 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Brian R. Davis · 2007 to 2026
$23.0M
NIDDK NIH HHS P30 DK072482
6 · The paper itself

Abstract

Whole-genome sequencing (WGS) has shown promise in becoming a first-tier diagnostic test for patients with rare genetic disorders; however, standards addressing the definition and deployment practice of a best-in-class test are lacking. To address these gaps, the Medical Genome Initiative, a consortium of leading healthcare and research organizations in the US and Canada, was formed to expand access to high-quality clinical WGS by publishing best practices. Here, we present consensus recommendations on clinical WGS analytical validation for the diagnosis of individuals with suspected germline disease with a focus on test development, upfront considerations for test design, test validation practices, and metrics to monitor test performance. This work also provides insight into the current state of WGS testing at each member institution, including the utilization of reference and other standards across sites. Importantly, members of this initiative strongly believe that clinical WGS is an appropriate first-tier test for patients with rare genetic disorders, and at minimum is ready to replace chromosomal microarray analysis and whole-exome sequencing. The recommendations presented here should reduce the burden on laboratories introducing WGS into clinical practice, and support safe and effective WGS testing for diagnosis of germline disease.

Indexed as

Genetic testingLaboratory techniques and proceduresNext-generation sequencing

Identifiers

PMID33110627
PMCPMC7585436
OpenAlexW3094167758

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.