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Shedding light on dark genes: enhanced targeted resequencing by optimizing the combination of enrichment technology and DNA fragment length.
Iadarola, Barbara; Xumerle, Luciano; Lavezzari, Denise; Paterno, Marta; Marcolungo, Luca; Beltrami, Cristina; Fortunati, Elisabetta; Mei, Davide; Vetro, Annalisa; Guerrini, Renzo; Parrini, Elena; Rossato, Marzia; Delledonne, Massimo.
Afiliación
  • Iadarola B; Department of Biotechnology, University of Verona, Strada Le Grazie 15, 37134, Verona, Italy.
  • Xumerle L; Personal Genomics s.r.l, Via Roveggia 43B, 37136, Verona, Italy.
  • Lavezzari D; Department of Biotechnology, University of Verona, Strada Le Grazie 15, 37134, Verona, Italy.
  • Paterno M; Personal Genomics s.r.l, Via Roveggia 43B, 37136, Verona, Italy.
  • Marcolungo L; Department of Biotechnology, University of Verona, Strada Le Grazie 15, 37134, Verona, Italy.
  • Beltrami C; Department of Biotechnology, University of Verona, Strada Le Grazie 15, 37134, Verona, Italy.
  • Fortunati E; Department of Biotechnology, University of Verona, Strada Le Grazie 15, 37134, Verona, Italy.
  • Mei D; Department of Biotechnology, University of Verona, Strada Le Grazie 15, 37134, Verona, Italy.
  • Vetro A; Department of Biotechnology, University of Verona, Strada Le Grazie 15, 37134, Verona, Italy.
  • Guerrini R; Pediatric Neurology, Neurogenetics and Neurobiology Unit and Laboratories, Department of Neuroscience, A. Meyer Children's Hospital, University of Florence, viale Pieraccini 24, 50139, Florence, Italy.
  • Parrini E; Pediatric Neurology, Neurogenetics and Neurobiology Unit and Laboratories, Department of Neuroscience, A. Meyer Children's Hospital, University of Florence, viale Pieraccini 24, 50139, Florence, Italy.
  • Rossato M; Pediatric Neurology, Neurogenetics and Neurobiology Unit and Laboratories, Department of Neuroscience, A. Meyer Children's Hospital, University of Florence, viale Pieraccini 24, 50139, Florence, Italy.
  • Delledonne M; Pediatric Neurology, Neurogenetics and Neurobiology Unit and Laboratories, Department of Neuroscience, A. Meyer Children's Hospital, University of Florence, viale Pieraccini 24, 50139, Florence, Italy.
Sci Rep ; 10(1): 9424, 2020 06 10.
Article en En | MEDLINE | ID: mdl-32523024
ABSTRACT
The exome contains many obscure regions difficult to explore with current short-read sequencing methods. Repetitious genomic regions prevent the unique alignment of reads, which is essential for the identification of clinically-relevant genetic variants. Long-read technologies attempt to resolve multiple-mapping regions, but they still produce many sequencing errors. Thus, a new approach is required to enlighten the obscure regions of the genome and rescue variants that would be otherwise neglected. This work aims to improve the alignment of multiple-mapping reads through the extension of the standard DNA fragment size. As Illumina can sequence fragments up to 550 bp, we tested different DNA fragment lengths using four major commercial WES platforms and found that longer DNA fragments achieved a higher genotypability. This metric, which indicates base calling calculated by combining depth of coverage with the confidence of read alignment, increased from hundreds to thousands of genes, including several associated with clinical phenotypes. While depth of coverage has been considered crucial for the assessment of WES performance, we demonstrated that genotypability has a greater impact in revealing obscure regions, with ~1% increase in variant calling in respect to shorter DNA fragments. Results confirmed that this approach enlightened many regions previously not explored.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: ADN / Secuenciación de Nucleótidos de Alto Rendimiento Límite: Humans Idioma: En Revista: Sci Rep Año: 2020 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: ADN / Secuenciación de Nucleótidos de Alto Rendimiento Límite: Humans Idioma: En Revista: Sci Rep Año: 2020 Tipo del documento: Article País de afiliación: Italia