Evidence map›Paper›PMID 28574513›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2017

Detection of clinically relevant copy-number variants by exome sequencing in a large cohort of genetic disorders.

Rolph Pfundt, Marisol Del Rosario, Lisenka E L M Vissers, Michael P Kwint, Irene M Janssen, Nicole de Leeuw, Helger G Yntema, Marcel R Nelen, Dorien Lugtenberg, Erik-Jan Kamsteeg and 11 more

Abstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
114citing papers in PubMed, 2 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

114 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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54 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

21 authors.

Rolph PfundtDepartment of Human Genetics, Donders Institute, Radboud University Medical Center, Nijmegen, The Netherlands.
Marisol Del RosarioDepartment of Human Genetics, Donders Institute, Radboud University Medical Center, Nijmegen, The Netherlands.ORCID 0000-0002-7564-0227
Lisenka E L M VissersDepartment of Human Genetics, Donders Institute, Radboud University Medical Center, Nijmegen, The Netherlands.
Michael P KwintDepartment of Human Genetics, Donders Institute, Radboud University Medical Center, Nijmegen, The Netherlands.
Irene M JanssenDepartment of Human Genetics, Donders Institute, Radboud University Medical Center, Nijmegen, The Netherlands.
Nicole de LeeuwDepartment of Human Genetics, Donders Institute, Radboud University Medical Center, Nijmegen, The Netherlands.ORCID 0000-0002-9796-3342
Helger G YntemaDepartment of Human Genetics, Donders Institute, Radboud University Medical Center, Nijmegen, The Netherlands.
Marcel R NelenDepartment of Human Genetics, Donders Institute, Radboud University Medical Center, Nijmegen, The Netherlands.
Dorien LugtenbergDepartment of Human Genetics, Donders Institute, Radboud University Medical Center, Nijmegen, The Netherlands.
Erik-Jan KamsteegDepartment of Human Genetics, Donders Institute, Radboud University Medical Center, Nijmegen, The Netherlands.
Nienke WieskampDepartment of Human Genetics, Donders Institute, Radboud University Medical Center, Nijmegen, The Netherlands.
Alexander P A StegmannDepartment of Clinical Genetics, GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Servi J C StevensDepartment of Clinical Genetics, GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Richard J T RodenburgNijmegen Center for Mitochondrial Disorders, Department of Pediatrics, Radboud University Medical Centre, Nijmegen, The Netherlands.ORCID 0000-0001-5227-3527
Annet SimonsDepartment of Human Genetics, Donders Institute, Radboud University Medical Center, Nijmegen, The Netherlands.
Arjen R MensenkampDepartment of Human Genetics, Donders Institute, Radboud University Medical Center, Nijmegen, The Netherlands.ORCID 0000-0003-3805-877X
Tuula RinneDepartment of Human Genetics, Donders Institute, Radboud University Medical Center, Nijmegen, The Netherlands.ORCID 0000-0003-4350-8106
Christian GilissenDepartment of Human Genetics, Donders Institute, Radboud University Medical Center, Nijmegen, The Netherlands.ORCID 0000-0003-1693-9699
Hans SchefferDepartment of Human Genetics, Donders Institute, Radboud University Medical Center, Nijmegen, The Netherlands.
Joris A VeltmanDepartment of Human Genetics, Donders Institute, Radboud University Medical Center, Nijmegen, The Netherlands.ORCID 0000-0002-3218-8250
Jayne Y Hehir-KwaDepartment of Human Genetics, Donders Institute, Radboud University Medical Center, Nijmegen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCopy-number variation is a common source of genomic variation and an important genetic cause of disease. Microarray-based analysis of copy-number variants (CNVs) has become a first-tier diagnostic test for patients with neurodevelopmental disorders, with a diagnostic yield of 10-20%. However, for most other genetic disorders, the role of CNVs is less clear and most diagnostic genetic studies are generally limited to the study of single-nucleotide variants (SNVs) and other small variants. With the introduction of exome and genome sequencing, it is now possible to detect both SNVs and CNVs using an exome- or genome-wide approach with a single test.

methodsWe performed exome-based read-depth CNV screening on data from 2,603 patients affected by a range of genetic disorders for which exome sequencing was performed in a diagnostic setting.

resultsIn total, 123 clinically relevant CNVs ranging in size from 727 bp to 15.3 Mb were detected, which resulted in 51 conclusive diagnoses and an overall increase in diagnostic yield of ~2% (ranging from 0 to -5.8% per disorder).

conclusionsThis study shows that CNVs play an important role in a broad range of genetic disorders and that detection via exome-based CNV profiling results in an increase in the diagnostic yield without additional testing, bringing us closer to single-test genomics.Genet Med advance online publication 27 October 2016.

Indexed as

DNA Copy Number VariationsExomeWhole Genome SequencingCohort StudiesGenetic Diseases, InbornGenome, HumanHumansInheritance PatternsMalePolymorphism, Single Nucleotide

Identifiers

PMID28574513
PMCPMC5460076

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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.