Genome sequencing in cytogenetics: Comparison of short-read and linked-read approaches for germline structural variant detection and characterization.


Journal

Molecular genetics & genomic medicine
ISSN: 2324-9269
Titre abrégé: Mol Genet Genomic Med
Pays: United States
ID NLM: 101603758

Informations de publication

Date de publication:
03 2020
Historique:
received: 15 11 2019
accepted: 20 12 2019
pubmed: 28 1 2020
medline: 30 3 2021
entrez: 28 1 2020
Statut: ppublish

Résumé

Structural variants (SVs) include copy number variants (CNVs) and apparently balanced chromosomal rearrangements (ABCRs). Genome sequencing (GS) enables SV detection at base-pair resolution, but the use of short-read sequencing is limited by repetitive sequences, and long-read approaches are not yet validated for diagnosis. Recently, 10X Genomics proposed Chromium, a technology providing linked-reads to reconstruct long DNA fragments and which could represent a good alternative. No study has compared short-read to linked-read technologies to detect SVs in a constitutional diagnostic setting yet. The aim of this work was to determine whether the 10X Genomics technology enables better detection and comprehension of SVs than short-read WGS. We included 13 patients carrying various SVs. Whole genome analyses were performed using paired-end HiSeq X sequencing with (linked-read strategy) or without (short-read strategy) Chromium library preparation. Two different bioinformatic pipelines were used: Variants are called using BreakDancer for short-read strategy and LongRanger for long-read strategy. Variant interpretations were first blinded. The short-read strategy allowed diagnosis of known SV in 10/13 patients. After unblinding, the linked-read strategy identified 10/13 SVs, including one (patient 7) missed by the short-read strategy. In conclusion, regarding the results of this study, 10X Genomics solution did not improve the detection and characterization of SV.

Sections du résumé

BACKGROUND
Structural variants (SVs) include copy number variants (CNVs) and apparently balanced chromosomal rearrangements (ABCRs). Genome sequencing (GS) enables SV detection at base-pair resolution, but the use of short-read sequencing is limited by repetitive sequences, and long-read approaches are not yet validated for diagnosis. Recently, 10X Genomics proposed Chromium, a technology providing linked-reads to reconstruct long DNA fragments and which could represent a good alternative. No study has compared short-read to linked-read technologies to detect SVs in a constitutional diagnostic setting yet. The aim of this work was to determine whether the 10X Genomics technology enables better detection and comprehension of SVs than short-read WGS.
METHODS
We included 13 patients carrying various SVs. Whole genome analyses were performed using paired-end HiSeq X sequencing with (linked-read strategy) or without (short-read strategy) Chromium library preparation. Two different bioinformatic pipelines were used: Variants are called using BreakDancer for short-read strategy and LongRanger for long-read strategy. Variant interpretations were first blinded.
RESULTS
The short-read strategy allowed diagnosis of known SV in 10/13 patients. After unblinding, the linked-read strategy identified 10/13 SVs, including one (patient 7) missed by the short-read strategy.
CONCLUSION
In conclusion, regarding the results of this study, 10X Genomics solution did not improve the detection and characterization of SV.

Identifiants

pubmed: 31985172
doi: 10.1002/mgg3.1114
pmc: PMC7057128
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1114

Informations de copyright

© 2020 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals, Inc.

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Auteurs

Kévin Uguen (K)

Service de Génétique Médicale, CHRU de Brest, Brest, France.
HCL, Service de Génétique, BRON Cedex, France.

Claire Jubin (C)

Centre National de Recherche en Génomique Humaine (CNRGH), CEA, Evry, France.
Labex GenMed, Evry, France.

Yannis Duffourd (Y)

UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France.

Claire Bardel (C)

HCL, Cellule bioinformatique de la plateforme NGS du CHU Lyon, BRON Cedex, France.
Université Lyon 1, CNRS, Laboratoire de Biométrie et Biologie Evolutive, UMR5558, Villeurbanne, France.

Valérie Malan (V)

Service de Cytogénétique, Hôpital Necker-Enfants Malades, APHP, Paris, France.

Jean-Michel Dupont (JM)

Institut Cochin, INSERM U1016, Université Paris Descartes, Faculté de Médecine, APHP, HUPC, site Cochin, Laboratoire de Cytogénétique, Paris, France.

Laila El Khattabi (L)

Institut Cochin, INSERM U1016, Université Paris Descartes, Faculté de Médecine, APHP, HUPC, site Cochin, Laboratoire de Cytogénétique, Paris, France.

Nicolas Chatron (N)

HCL, Service de Génétique, BRON Cedex, France.

Antonio Vitobello (A)

UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France.
Unité Fonctionnelle d'Innovation en Diagnostic Génomique des Maladies Rares, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France.

Pierre-Antoine Rollat-Farnier (PA)

HCL, Cellule bioinformatique de la plateforme NGS du CHU Lyon, BRON Cedex, France.

Céline Baulard (C)

Centre National de Recherche en Génomique Humaine (CNRGH), CEA, Evry, France.
Labex GenMed, Evry, France.

Marc Lelorch (M)

Service de Cytogénétique, Hôpital Necker-Enfants Malades, APHP, Paris, France.

Aurélie Leduc (A)

Centre National de Recherche en Génomique Humaine (CNRGH), CEA, Evry, France.
Labex GenMed, Evry, France.

Emilie Tisserant (E)

UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France.

Frédéric Tran Mau-Them (F)

UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France.
Unité Fonctionnelle d'Innovation en Diagnostic Génomique des Maladies Rares, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France.

Vincent Danjean (V)

Univ. Grenoble Alpes, CNRS, Grenoble INP, LIG, Grenoble, France.

Marc Delepine (M)

Centre National de Recherche en Génomique Humaine (CNRGH), CEA, Evry, France.
Labex GenMed, Evry, France.

Marianne Till (M)

HCL, Service de Génétique, BRON Cedex, France.

Vincent Meyer (V)

Centre National de Recherche en Génomique Humaine (CNRGH), CEA, Evry, France.
Labex GenMed, Evry, France.

Stanislas Lyonnet (S)

Fédération de Génétique et Institut Imagine, UMR-1163, Université de Paris, Hôpital Necker-Enfants Malades, APHP Paris, France.

Anne-Laure Mosca-Boidron (AL)

UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France.
Laboratoire de génétique chromosomique et moléculaire, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France.

Julien Thevenon (J)

Centre de génétique, Hôpital Couple-Enfant, CHU Grenoble Alpes, La Tronche, Grenoble, France.

Laurence Faivre (L)

UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France.
Centre de génétique, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France.

Christel Thauvin-Robinet (C)

UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France.
Centre de génétique, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France.

Caroline Schluth-Bolard (C)

HCL, Service de Génétique, BRON Cedex, France.

Anne Boland (A)

Centre National de Recherche en Génomique Humaine (CNRGH), CEA, Evry, France.
Labex GenMed, Evry, France.

Robert Olaso (R)

Centre National de Recherche en Génomique Humaine (CNRGH), CEA, Evry, France.
Labex GenMed, Evry, France.

Patrick Callier (P)

UMR1231 GAD, Inserm - Université Bourgogne-Franche Comté, Dijon, France.
Laboratoire de génétique chromosomique et moléculaire, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France.

Serge Romana (S)

Service de Cytogénétique, Hôpital Necker-Enfants Malades, APHP, Paris, France.

Jean-François Deleuze (JF)

Centre National de Recherche en Génomique Humaine (CNRGH), CEA, Evry, France.
Labex GenMed, Evry, France.

Damien Sanlaville (D)

HCL, Service de Génétique, BRON Cedex, France.

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