Evidence map›Paper›PMID 33976420›Full record

Trial reportGenetics in medicine : official journal of the American College of Medical Genetics2021

Randomized prospective evaluation of genome sequencing versus standard-of-care as a first molecular diagnostic test.

Deanna G Brockman, Christina A Austin-Tse, Renée C Pelletier, Caroline Harley, Candace Patterson, Holly Head, Courtney Elizabeth Leonard, Kimberly O'Brien, Lisa M Mahanta, Matthew S Lebo and 7 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Genetics in medicine : official journal of the American College of Medical Genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  5. Considerations for reporting variants in novel candidate genes identified during clinical genomic testing.Genetics in medicine : official journal of the American College of Medical Genetics · 2024
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  7. Exome and genome sequencing in a heterogeneous population of patients with rare disease: Identifying predictors of a diagnosis.Genetics in medicine : official journal of the American College of Medical Genetics · 2024
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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

17 authors.

Deanna G Brockman *Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA. Deanna.brockman@mgh.harvard.edu.ORCID 0000-0003-3722-0675
Christina A Austin-Tse *Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Renée C PelletierCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Caroline HarleyCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Candace PattersonBroad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA.
Holly HeadCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Courtney Elizabeth LeonardCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Kimberly O'BrienLaboratory for Molecular Medicine, Partners Personalized Medicine, Cambridge, MA, USA.
Lisa M MahantaLaboratory for Molecular Medicine, Partners Personalized Medicine, Cambridge, MA, USA.
Matthew S LeboLaboratory for Molecular Medicine, Partners Personalized Medicine, Cambridge, MA, USA.
Christine Y LuDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
Pradeep NatarajanBroad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA.
Amit V KheraCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Krishna G AragamCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Sekar KathiresanCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Heidi L RehmCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Miriam S UdlerCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.

Funding

Integrated pathogenicity assessment of clinically actionable genetic variantsR01HG010372 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI CASSA, CHRISTOPHER · 2018 to 2022
$3.5M
Clinical Implications of Genetically Defined Diabetes Subtypes and Application to Electronic Health Medical Record SystemsK23DK114551 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI UDLER, MIRIAM SARGON · 2017 to 2021
$1000k
NHGRI NIH HHS R01 HG010372NIDDK NIH HHS K23 DK114551
6 · The paper itself

Abstract

purposeTo evaluate the diagnostic yield and clinical relevance of clinical genome sequencing (cGS) as a first genetic test for patients with suspected monogenic disorders.

methodsWe conducted a prospective randomized study with pediatric and adult patients recruited from genetics clinics at Massachusetts General Hospital who were undergoing planned genetic testing. Participants were randomized into two groups: standard-of-care genetic testing (SOC) only or SOC and cGS.

resultsTwo hundred four participants were enrolled, 202 were randomized to one of the intervention arms, and 99 received cGS. In total, cGS returned 16 molecular diagnoses that fully or partially explained the indication for testing in 16 individuals (16.2% of the cohort, 95% confidence interval [CI] 8.9-23.4%), which was not significantly different from SOC (18.2%, 95% CI 10.6-25.8%, P = 0.71). An additional eight molecular diagnoses reported by cGS had uncertain relevance to the participant's phenotype. Nevertheless, referring providers considered 20/24 total cGS molecular diagnoses (83%) to be explanatory for clinical features or worthy of additional workup.

conclusioncGS is technically suitable as a first genetic test. In our cohort, diagnostic yield was not significantly different from SOC. Further studies addressing other variant types and implementation challenges are needed to support feasibility and utility of broad-scale cGS adoption.

Indexed as

Genetic TestingPathology, MolecularAdultChildChromosome MappingHumansMolecular Diagnostic TechniquesProspective Studies

Identifiers

PMID33976420
PMCPMC8488861

What OpenQuestion holds

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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.