Exome sequencing as a first-tier test for copy number variant detection: retrospective evaluation and prospective screening in 2418 cases.

congenital, hereditary, and neonatal diseases and abnormalities genetic variation high-throughput nucleotide sequencing molecular diagnostic techniques

Journal

Journal of medical genetics
ISSN: 1468-6244
Titre abrégé: J Med Genet
Pays: England
ID NLM: 2985087R

Informations de publication

Date de publication:
12 2022
Historique:
received: 10 01 2022
accepted: 10 08 2022
pubmed: 23 9 2022
medline: 25 11 2022
entrez: 22 9 2022
Statut: ppublish

Résumé

Despite the availability of whole exome (WES) and genome sequencing (WGS), chromosomal microarray (CMA) remains the first-line diagnostic test in most rare disorders diagnostic workup, looking for copy number variations (CNVs), with a diagnostic yield of 10%-20%. The question of the equivalence of CMA and WES in CNV calling is an organisational and economic question, especially when ordering a WGS after a negative CMA and/or WES. This study measures the equivalence between CMA and GATK4 exome sequencing depth of coverage method in detecting coding CNVs on a retrospective cohort of 615 unrelated individuals. A prospective detection of WES-CNV on a cohort of 2418 unrelated individuals, including the 615 individuals from the validation cohort, was performed. On the retrospective validation cohort, every CNV detectable by the method (ie, a CNV with at least one exon not in a dark zone) was accurately called (64/64 events). In the prospective cohort, 32 diagnoses were performed among the 2418 individuals with CNVs ranging from 704 bp to aneuploidy. An incidental finding was reported. The overall increase in diagnostic yield was of 1.7%, varying from 1.2% in individuals with multiple congenital anomalies to 1.9% in individuals with chronic kidney failure. Combining single-nucleotide variant (SNV) and CNV detection increases the suitability of exome sequencing as a first-tier diagnostic test for suspected rare Mendelian disorders. Before considering the prescription of a WGS after a negative WES, a careful reanalysis with updated CNV calling and SNV annotation should be considered.

Sections du résumé

BACKGROUND
Despite the availability of whole exome (WES) and genome sequencing (WGS), chromosomal microarray (CMA) remains the first-line diagnostic test in most rare disorders diagnostic workup, looking for copy number variations (CNVs), with a diagnostic yield of 10%-20%. The question of the equivalence of CMA and WES in CNV calling is an organisational and economic question, especially when ordering a WGS after a negative CMA and/or WES.
METHODS
This study measures the equivalence between CMA and GATK4 exome sequencing depth of coverage method in detecting coding CNVs on a retrospective cohort of 615 unrelated individuals. A prospective detection of WES-CNV on a cohort of 2418 unrelated individuals, including the 615 individuals from the validation cohort, was performed.
RESULTS
On the retrospective validation cohort, every CNV detectable by the method (ie, a CNV with at least one exon not in a dark zone) was accurately called (64/64 events). In the prospective cohort, 32 diagnoses were performed among the 2418 individuals with CNVs ranging from 704 bp to aneuploidy. An incidental finding was reported. The overall increase in diagnostic yield was of 1.7%, varying from 1.2% in individuals with multiple congenital anomalies to 1.9% in individuals with chronic kidney failure.
CONCLUSION
Combining single-nucleotide variant (SNV) and CNV detection increases the suitability of exome sequencing as a first-tier diagnostic test for suspected rare Mendelian disorders. Before considering the prescription of a WGS after a negative WES, a careful reanalysis with updated CNV calling and SNV annotation should be considered.

Identifiants

pubmed: 36137615
pii: jmg-2022-108439
doi: 10.1136/jmg-2022-108439
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1234-1240

Informations de copyright

© Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: QT, XV, LR and J-FT are employed by Eurofins Biomnis, a private medical biology laboratory. KY is employed by Seqone Genomics a private bioinformatics software provider.

Auteurs

Quentin Testard (Q)

Service de Génétique, Eurofins Biomnis, Lyon, France.
Service de Génétique et Procréation, CHU Grenoble Alpes, Grenoble, France.
CNRS UMR 5309, INSERM, U1209, Université Grenoble Alpes, Institute for Advanced Bioscience, Grenoble, France.

Xavier Vanhoye (X)

Service de Génétique, Eurofins Biomnis, Lyon, France.

Kevin Yauy (K)

CNRS UMR 5309, INSERM, U1209, Université Grenoble Alpes, Institute for Advanced Bioscience, Grenoble, France.
SeqOne Genomics, Montpellier, France.

Marie-Emmanuelle Naud (ME)

Service de Génétique, Eurofins Biomnis, Lyon, France.

Gaelle Vieville (G)

Service de Génétique et Procréation, CHU Grenoble Alpes, Grenoble, France.

Francis Rousseau (F)

Service de Génétique, Eurofins Biomnis, Lyon, France.

Benjamin Dauriat (B)

Service de Cytogénétique, Génétique Médicale et Biologie de la Reproduction, CHU Limoges, Limoges, France.

Valentine Marquet (V)

Service de Cytogénétique, Génétique Médicale et Biologie de la Reproduction, CHU Limoges, Limoges, France.

Sylvie Bourthoumieu (S)

Service de Cytogénétique, Génétique Médicale et Biologie de la Reproduction, CHU Limoges, Limoges, France.

David Geneviève (D)

Département de Génétique Médicale, Maladies Rares et Médecine Personnalisée, CHU Montpellier, Montpellier, France.
Unité INSERM U1183, University Montpellier 1, Montpellier, France.

Vincent Gatinois (V)

Département de Génétique Médicale, Maladies Rares et Médecine Personnalisée, CHU Montpellier, Montpellier, France.

Constance Wells (C)

Département de Génétique Médicale, Maladies Rares et Médecine Personnalisée, CHU Montpellier, Montpellier, France.

Marjolaine Willems (M)

Département de Génétique Médicale, Maladies Rares et Médecine Personnalisée, CHU Montpellier, Montpellier, France.

Christine Coubes (C)

Département de Génétique Médicale, Maladies Rares et Médecine Personnalisée, CHU Montpellier, Montpellier, France.

Lucile Pinson (L)

Département de Génétique Médicale, Maladies Rares et Médecine Personnalisée, CHU Montpellier, Montpellier, France.

Rodolphe Dard (R)

Département de Génétique, CHI Poissy-Saint-Germain-en-Laye, Saint-Germain-en-Laye, France.

Aude Tessier (A)

Département de Génétique, CHI Poissy-Saint-Germain-en-Laye, Saint-Germain-en-Laye, France.

Bérénice Hervé (B)

Département de Génétique, CHI Poissy-Saint-Germain-en-Laye, Saint-Germain-en-Laye, France.

François Vialard (F)

Département de Génétique, CHI Poissy-Saint-Germain-en-Laye, Saint-Germain-en-Laye, France.

Ines Harzallah (I)

Service de génétique clinique, chromosomique et moléculaire, CHU Saint-Étienne, Saint-Etienne, France.

Renaud Touraine (R)

Service de génétique clinique, chromosomique et moléculaire, CHU Saint-Étienne, Saint-Etienne, France.

Benjamin Cogné (B)

Service de Génétique Médicale, CHU Nantes, Nantes, France.

Wallid Deb (W)

Service de Génétique Médicale, CHU Nantes, Nantes, France.

Thomas Besnard (T)

Service de Génétique Médicale, CHU Nantes, Nantes, France.

Olivier Pichon (O)

Service de Génétique Médicale, CHU Nantes, Nantes, France.

Béatrice Laudier (B)

Laboratoire d'Immunologie et Neurogénétique Expérimentales et Moléculaires INEM UMR7355, CHR d'Orléans, Orléans, France.

Laurent Mesnard (L)

Sorbonne Université, Urgences Néphrologiques et Transplantation Rénale, APHP, Hôpital Tenon, Paris, France.

Alice Doreille (A)

Sorbonne Université, Urgences Néphrologiques et Transplantation Rénale, APHP, Hôpital Tenon, Paris, France.

Tiffany Busa (T)

Département de génétique médicale, AP HM, Hôpital de la Timone Enfant, Marseille, France.

Chantal Missirian (C)

Département de génétique médicale, AP HM, Hôpital de la Timone Enfant, Marseille, France.

Véronique Satre (V)

Service de Génétique et Procréation, CHU Grenoble Alpes, Grenoble, France.
CNRS UMR 5309, INSERM, U1209, Université Grenoble Alpes, Institute for Advanced Bioscience, Grenoble, France.

Charles Coutton (C)

Service de Génétique et Procréation, CHU Grenoble Alpes, Grenoble, France.
CNRS UMR 5309, INSERM, U1209, Université Grenoble Alpes, Institute for Advanced Bioscience, Grenoble, France.

Tristan Celse (T)

Service de Génétique et Procréation, CHU Grenoble Alpes, Grenoble, France.

Radu Harbuz (R)

Service de Génétique et Procréation, CHU Grenoble Alpes, Grenoble, France.

Laure Raymond (L)

Service de Génétique, Eurofins Biomnis, Lyon, France.

Jean-François Taly (JF)

Service de Génétique, Eurofins Biomnis, Lyon, France JeanFrancoisTaly@eurofins-biomnis.com jthevenon@chu-grenoble.fr.

Julien Thevenon (J)

Service de Génétique et Procréation, CHU Grenoble Alpes, Grenoble, France JeanFrancoisTaly@eurofins-biomnis.com jthevenon@chu-grenoble.fr.
CNRS UMR 5309, INSERM, U1209, Université Grenoble Alpes, Institute for Advanced Bioscience, Grenoble, France.

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