Evidence map›Paper›PMID 30755392›Full record

ArticleCold Spring Harbor molecular case studies2019

A semiautomated whole-exome sequencing workflow leads to increased diagnostic yield and identification of novel candidate variants.

Jianling Ji, Lishuang Shen, Moiz Bootwalla, Catherine Quindipan, Tatiana Tatarinova, Dennis T Maglinte, Jonathan Buckley, Gordana Raca, Sulagna C Saitta, Jaclyn A Biegel and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Cold Spring Harbor molecular case studies, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

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  20. Case Report: Novel Biallelic Variants inFrontiers in genetics · 2022
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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

11 authors at 3 institutions in 1 country.

Jianling JiCenter for Personalized Medicine, Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, California 90027, USA.
Lishuang ShenCenter for Personalized Medicine, Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, California 90027, USA.
Moiz BootwallaCenter for Personalized Medicine, Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, California 90027, USA.
Catherine QuindipanCenter for Personalized Medicine, Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, California 90027, USA.
Tatiana TatarinovaDepartment of Biology, University of La Verne, La Verne, California 91750, USA.
Dennis T MaglinteCenter for Personalized Medicine, Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, California 90027, USA.
Jonathan BuckleyCenter for Personalized Medicine, Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, California 90027, USA.
Gordana RacaCenter for Personalized Medicine, Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, California 90027, USA.
Sulagna C SaittaCenter for Personalized Medicine, Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, California 90027, USA.
Jaclyn A BiegelCenter for Personalized Medicine, Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, California 90027, USA.
Xiaowu GaiCenter for Personalized Medicine, Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, California 90027, USA.
Children's Hospital of Los Angeles · USUniversity of Southern California · USUniversity of La Verne · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advancing the clinical utility of whole-exome sequencing (WES) for patients with suspected genetic disorders is largely driven by bioinformatics approaches that streamline data processing and analysis. Herein, we describe our experience with implementing a semiautomated and phenotype-driven WES diagnostic workflow, incorporating both the DRAGEN pipeline and the Exomiser variant prioritization tool, at an academic children's hospital with an ethnically diverse pediatric patient population. We achieved a 41% molecular diagnostic rate for 66 duo-, quad-, or trio-WES cases, and 28% for 40 singleton-WES cases. Preliminary results were returned to ordering physicians within 1 wk for 12 of 38 (32%) probands with positive findings, which were instrumental in guiding the appropriate clinical management for a variety of patients, especially in critical care settings. The semiautomated and streamlined WES workflow also enabled us to identify novel variants in candidate disease genes in patients with developmental delay and autism and immune disorders and cancer, including

Indexed as

AdolescentAutism Spectrum DisorderChildChild, PreschoolEarly DiagnosisExome SequencingFemaleGenetic Predisposition to DiseaseHumansImmune System DiseasesInfantInfant, NewbornMaleNeoplasmsSensitivity and SpecificityTime Factorsabnormality of the cerebral vasculatureacute myeloid leukemiaaggressive behaviorambiguous genitalia, maleaplasia of the thymusastrocytomaataxiaautismbilateral cryptorchidismcleft palatedelayed social developmentgeneralized hypotonia due to defect at the neuromuscular junctiongeneralized tonic seizuresmicrocephalyosteosarcomaretinoblastomasevere global developmental delaysevere T-cell immunodeficiencyshort staturewebbed neck

Identifiers

PMID30755392
PMCPMC6549575
OpenAlexW2912076227

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.