Evidence map›Paper›PMID 28640241›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2018

Long-read genome sequencing identifies causal structural variation in a Mendelian disease.

Jason D Merker, Aaron M Wenger, Tam Sneddon, Megan Grove, Zachary Zappala, Laure Fresard, Daryl Waggott, Sowmi Utiramerur, Yanli Hou, Kevin S Smith and 9 more

Open access · bronzeAbstract readCase Reports
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 156 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
156citing papers in PubMed, 1 pooled it
18.9field-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

156 citing papers in PubMed, 1 synthesis or guideline pooled it, 272 citations in OpenAlex.

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96 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

19 authors at 4 institutions in 1 country.

Jason D MerkerDepartment of Pathology, Stanford University, Stanford, California, USA.
Aaron M WengerPacific Biosciences, Menlo Park, California, USA.
Tam SneddonStanford Medicine Clinical Genomics Service, Stanford Health Care, Stanford, California, USA.
Megan GroveStanford Medicine Clinical Genomics Service, Stanford Health Care, Stanford, California, USA.
Zachary ZappalaDepartment of Pathology, Stanford University, Stanford, California, USA.
Laure FresardDepartment of Pathology, Stanford University, Stanford, California, USA.
Daryl WaggottDepartment of Medicine, Stanford University, Stanford, California, USA.
Sowmi UtiramerurStanford Medicine Clinical Genomics Service, Stanford Health Care, Stanford, California, USA.
Yanli HouDepartment of Pathology, Stanford University, Stanford, California, USA.
Kevin S SmithDepartment of Pathology, Stanford University, Stanford, California, USA.
Stephen B MontgomeryDepartment of Pathology, Stanford University, Stanford, California, USA.
Matthew WheelerDepartment of Medicine, Stanford University, Stanford, California, USA.
Jillian G BuchanDepartment of Pathology, Stanford University, Stanford, California, USA.
Christine C LambertPacific Biosciences, Menlo Park, California, USA.
Kevin S EngPacific Biosciences, Menlo Park, California, USA.
Luke HickeyPacific Biosciences, Menlo Park, California, USA.
Jonas KorlachPacific Biosciences, Menlo Park, California, USA.
James FordDepartment of Genetics, Stanford University, Stanford, California, USA.
Euan A AshleyStanford Medicine Clinical Genomics Service, Stanford Health Care, Stanford, California, USA.
Stanford University · USStanford Health Care · USPacific Biosciences (United States) · USCancer Prevention Institute of California · US

Funding

INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2M
NHGRI NIH HHS T32 HG000044
6 · The paper itself

Abstract

PurposeCurrent clinical genomics assays primarily utilize short-read sequencing (SRS), but SRS has limited ability to evaluate repetitive regions and structural variants. Long-read sequencing (LRS) has complementary strengths, and we aimed to determine whether LRS could offer a means to identify overlooked genetic variation in patients undiagnosed by SRS.MethodsWe performed low-coverage genome LRS to identify structural variants in a patient who presented with multiple neoplasia and cardiac myxomata, in whom the results of targeted clinical testing and genome SRS were negative.ResultsThis LRS approach yielded 6,971 deletions and 6,821 insertions > 50 bp. Filtering for variants that are absent in an unrelated control and overlap a disease gene coding exon identified three deletions and three insertions. One of these, a heterozygous 2,184 bp deletion, overlaps the first coding exon of PRKAR1A, which is implicated in autosomal dominant Carney complex. RNA sequencing demonstrated decreased PRKAR1A expression. The deletion was classified as pathogenic based on guidelines for interpretation of sequence variants.ConclusionThis first successful application of genome LRS to identify a pathogenic variant in a patient suggests that LRS has significant potential for the identification of disease-causing structural variation. Larger studies will ultimately be required to evaluate the potential clinical utility of LRS.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseGenetic VariationGenome, HumanGenomicsSequence Analysis, DNAChildCyclic AMP-Dependent Protein Kinase RIalpha SubunitEchocardiographyGenetic Diseases, InbornHumansMalePhenotypeSequence DeletionCyclic AMP-Dependent Protein Kinase RIalpha SubunitPRKAR1A protein, human

Identifiers

PMID28640241
PMCPMC5741540
OpenAlexW2682773473

What OpenQuestion holds

Textmetadata
LicenceTDM
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.