Genome sequencing in cytogenetics: Comparison of short-read and linked-read approaches for germline structural variant detection and characterization.
Mol Genet Genomic Med
; 8(3): e1114, 2020 03.
Article
em En
| MEDLINE
| ID: mdl-31985172
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.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Testes Genéticos
/
Transtornos Cromossômicos
/
Citogenética
/
Variação Estrutural do Genoma
/
Sequenciamento Completo do Genoma
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
Mol Genet Genomic Med
Ano de publicação:
2020
Tipo de documento:
Article
País de afiliação:
França
País de publicação:
Estados Unidos