Evidence map›Paper›PMID 31182824›Full record

SynthesisGenetics in medicine : official journal of the American College of Medical Genetics2019

Meta-analysis and multidisciplinary consensus statement: exome sequencing is a first-tier clinical diagnostic test for individuals with neurodevelopmental disorders.

Siddharth Srivastava, Jamie A Love-Nichols, Kira A Dies, David H Ledbetter, Christa L Martin, Wendy K Chung, Helen V Firth, Thomas Frazier, Robin L Hansen, Lisa Prock and 6 more

Erratum issuedAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Genetics in medicine : official journal of the American College of Medical Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 380 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
380citing papers in PubMed, 6 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

380 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Genetically guided precision medicine clinical decision support tools: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2024
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  7. Trial
  8. Clinical and genetic characterization of intellectual disability.Developmental medicine and child neurology · 2026
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320 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Siddharth Srivastava *Translational Neuroscience Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Jamie A Love-Nichols *Translational Neuroscience Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0003-4928-4078
Kira A DiesTranslational Neuroscience Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
David H LedbetterAutism & Developmental Medicine Institute, Geisinger, Danville, PA, USA.ORCID http://orcid.org/0000-0001-8934-4210
Christa L MartinAutism & Developmental Medicine Institute, Geisinger, Danville, PA, USA.
Wendy K ChungDepartments of Pediatrics and Medicine, Columbia University, New York, NY, USA.
Helen V FirthWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Thomas FrazierAutism Speaks, Cleveland, OH, USA.
Robin L HansenMIND Institute, Department of Pediatrics, University of California Davis, Sacramento, CA, USA.
Lisa ProckTranslational Neuroscience Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Han BrunnerDepartment of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands.
Ny HoangDepartment of Genetic Counselling, The Hospital for Sick Children, Toronto, ON, Canada.
Stephen W SchererGenetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-8326-1999
Mustafa SahinTranslational Neuroscience Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA. mustafa.sahin@childrens.harvard.edu.ORCID http://orcid.org/0000-0001-7044-2953
David T MillerDivision of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0003-1060-1945
NDD Exome Scoping Review Work Group

Funding

Harvard Clinical and Translational Science CenterUL1TR001102 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2013 to 2017
$106.2M
Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Mouse Neurodevelopmental Behavior CoreU54HD090255 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI SAHIN, MUSTAFA · 2016 to 2020
$5.2M
NCATS NIH HHS UL1 TR001102NCATS NIH HHS UL1 TR001863NICHD NIH HHS U54 HD090255
6 · The paper itself

Abstract

purposeFor neurodevelopmental disorders (NDDs), etiological evaluation can be a diagnostic odyssey involving numerous genetic tests, underscoring the need to develop a streamlined algorithm maximizing molecular diagnostic yield for this clinical indication. Our objective was to compare the yield of exome sequencing (ES) with that of chromosomal microarray (CMA), the current first-tier test for NDDs.

methodsWe performed a PubMed scoping review and meta-analysis investigating the diagnostic yield of ES for NDDs as the basis of a consensus development conference. We defined NDD as global developmental delay, intellectual disability, and/or autism spectrum disorder. The consensus development conference included input from genetics professionals, pediatric neurologists, and developmental behavioral pediatricians.

resultsAfter applying strict inclusion/exclusion criteria, we identified 30 articles with data on molecular diagnostic yield in individuals with isolated NDD, or NDD plus associated conditions (such as Rett-like features). Yield of ES was 36% overall, 31% for isolated NDD, and 53% for the NDD plus associated conditions. ES yield for NDDs is markedly greater than previous studies of CMA (15-20%).

conclusionOur review demonstrates that ES consistently outperforms CMA for evaluation of unexplained NDDs. We propose a diagnostic algorithm placing ES at the beginning of the evaluation of unexplained NDDs.

Indexed as

Neurodevelopmental DisordersAutism Spectrum DisorderConsensus Statements as TopicDevelopmental DisabilitiesDiagnostic Tests, RoutineExomeExome SequencingGenetic TestingHumansIntellectual Disabilityautismconsensus development conferencediagnostic yieldgenetic testingintellectual disability

Identifiers

PMID31182824
PMCPMC6831729

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.