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Genome sequencing as a generic diagnostic strategy for rare disease.
Schobers, Gaby; Derks, Ronny; den Ouden, Amber; Swinkels, Hilde; van Reeuwijk, Jeroen; Bosgoed, Ermanno; Lugtenberg, Dorien; Sun, Su Ming; Corominas Galbany, Jordi; Weiss, Marjan; Blok, Marinus J; Olde Keizer, Richelle A C M; Hofste, Tom; Hellebrekers, Debby; de Leeuw, Nicole; Stegmann, Alexander; Kamsteeg, Erik-Jan; Paulussen, Aimee D C; Ligtenberg, Marjolijn J L; Bradley, Xiangqun Zheng; Peden, John; Gutierrez, Alejandra; Pullen, Adam; Payne, Tom; Gilissen, Christian; van den Wijngaard, Arthur; Brunner, Han G; Nelen, Marcel; Yntema, Helger G; Vissers, Lisenka E L M.
Afiliação
  • Schobers G; Department of Human Genetics, Radboudumc, Nijmegen, Netherlands.
  • Derks R; Research Institute for Medical Innovation, Radboudumc, Nijmegen, Netherlands.
  • den Ouden A; Department of Human Genetics, Radboudumc, Nijmegen, Netherlands.
  • Swinkels H; Department of Human Genetics, Radboudumc, Nijmegen, Netherlands.
  • van Reeuwijk J; Department of Human Genetics, Radboudumc, Nijmegen, Netherlands.
  • Bosgoed E; Department of Human Genetics, Radboudumc, Nijmegen, Netherlands.
  • Lugtenberg D; Research Institute for Medical Innovation, Radboudumc, Nijmegen, Netherlands.
  • Sun SM; Department of Human Genetics, Radboudumc, Nijmegen, Netherlands.
  • Corominas Galbany J; Department of Human Genetics, Radboudumc, Nijmegen, Netherlands.
  • Weiss M; Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, Netherlands.
  • Blok MJ; Department of Human Genetics, Radboudumc, Nijmegen, Netherlands.
  • Olde Keizer RACM; Research Institute for Medical Innovation, Radboudumc, Nijmegen, Netherlands.
  • Hofste T; Department of Human Genetics, Radboudumc, Nijmegen, Netherlands.
  • Hellebrekers D; Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, Netherlands.
  • de Leeuw N; Department of Human Genetics, Radboudumc, Nijmegen, Netherlands.
  • Stegmann A; Research Institute for Medical Innovation, Radboudumc, Nijmegen, Netherlands.
  • Kamsteeg EJ; Department of Human Genetics, Radboudumc, Nijmegen, Netherlands.
  • Paulussen ADC; Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, Netherlands.
  • Ligtenberg MJL; Department of Human Genetics, Radboudumc, Nijmegen, Netherlands.
  • Bradley XZ; Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, Netherlands.
  • Peden J; Department of Human Genetics, Radboudumc, Nijmegen, Netherlands.
  • Gutierrez A; Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, Netherlands.
  • Pullen A; Department of Human Genetics, Radboudumc, Nijmegen, Netherlands.
  • Payne T; Research Institute for Medical Innovation, Radboudumc, Nijmegen, Netherlands.
  • Gilissen C; Illumina Inc., Cambridge, UK.
  • van den Wijngaard A; Illumina Inc., Cambridge, UK.
  • Brunner HG; Illumina Inc., Cambridge, UK.
  • Nelen M; Illumina Inc., Cambridge, UK.
  • Yntema HG; Illumina Inc., Cambridge, UK.
  • Vissers LELM; Department of Human Genetics, Radboudumc, Nijmegen, Netherlands.
Genome Med ; 16(1): 32, 2024 Feb 14.
Article em En | MEDLINE | ID: mdl-38355605
ABSTRACT

BACKGROUND:

To diagnose the full spectrum of hereditary and congenital diseases, genetic laboratories use many different workflows, ranging from karyotyping to exome sequencing. A single generic high-throughput workflow would greatly increase efficiency. We assessed whether genome sequencing (GS) can replace these existing workflows aimed at germline genetic diagnosis for rare disease.

METHODS:

We performed short-read GS (NovaSeq™6000; 150 bp paired-end reads, 37 × mean coverage) on 1000 cases with 1271 known clinically relevant variants, identified across different workflows, representative of our tertiary diagnostic centers. Variants were categorized into small variants (single nucleotide variants and indels < 50 bp), large variants (copy number variants and short tandem repeats) and other variants (structural variants and aneuploidies). Variant calling format files were queried per variant, from which workflow-specific true positive rates (TPRs) for detection were determined. A TPR of ≥ 98% was considered the threshold for transition to GS. A GS-first scenario was generated for our laboratory, using diagnostic efficacy and predicted false negative as primary outcome measures. As input, we modeled the diagnostic path for all 24,570 individuals referred in 2022, combining the clinical referral, the transition of the underlying workflow(s) to GS, and the variant type(s) to be detected.

RESULTS:

Overall, 95% (1206/1271) of variants were detected. Detection rates differed per variant category small variants in 96% (826/860), large variants in 93% (341/366), and other variants in 87% (39/45). TPRs varied between workflows (79-100%), with 7/10 being replaceable by GS. Models for our laboratory indicate that a GS-first strategy would be feasible for 84.9% of clinical referrals (750/883), translating to 71% of all individuals (17,444/24,570) receiving GS as their primary test. An estimated false negative rate of 0.3% could be expected.

CONCLUSIONS:

GS can capture clinically relevant germline variants in a 'GS-first strategy' for the majority of clinical indications in a genetics diagnostic lab.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Raras / Sequenciamento de Nucleotídeos em Larga Escala Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Genome Med Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Raras / Sequenciamento de Nucleotídeos em Larga Escala Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Genome Med Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Holanda