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Dutch genome diagnostic laboratories accelerated and improved variant interpretation and increased accuracy by sharing data.
Fokkema, Ivo F A C; van der Velde, Kasper J; Slofstra, Mariska K; Ruivenkamp, Claudia A L; Vogel, Maartje J; Pfundt, Rolph; Blok, Marinus J; Lekanne Deprez, Ronald H; Waisfisz, Quinten; Abbott, Kristin M; Sinke, Richard J; Rahman, Rubayte; Nijman, Isaäc J; de Koning, Bart; Thijs, Gert; Wieskamp, Nienke; Moritz, Ruben J G; Charbon, Bart; Saris, Jasper J; den Dunnen, Johan T; Laros, Jeroen F J; Swertz, Morris A; van Gijn, Marielle E.
Afiliação
  • Fokkema IFAC; Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
  • van der Velde KJ; Genomics Coordination Center & Department of Genetics, University Medical Center, Groningen, University of Groningen, Groningen, The Netherlands.
  • Slofstra MK; Genomics Coordination Center & Department of Genetics, University Medical Center, Groningen, University of Groningen, Groningen, The Netherlands.
  • Ruivenkamp CAL; Department of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands.
  • Vogel MJ; Department of Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
  • Pfundt R; Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Blok MJ; Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, The Netherlands.
  • Lekanne Deprez RH; Department of Clinical Genetics, Academic Medical Center, Amsterdam UMC, Amsterdam, The Netherlands.
  • Waisfisz Q; Department of Clinical Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
  • Abbott KM; Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
  • Sinke RJ; Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
  • Rahman R; Department of Research IT, Netherlands Cancer Institute, Amsterdam, The Netherlands.
  • Nijman IJ; Medicine Department of Genetics, Division Laboratories, Pharmacy and Biomedical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands.
  • de Koning B; Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, The Netherlands.
  • Thijs G; DGG-Genomics Software Solutions, Agilent Technologies, Leuven, Belgium.
  • Wieskamp N; Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Moritz RJG; Department of Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
  • Charbon B; Genomics Coordination Center & Department of Genetics, University Medical Center, Groningen, University of Groningen, Groningen, The Netherlands.
  • Saris JJ; Department of Clinical Genetics, Erasmus Medical Center, Rotterdam, The Netherlands.
  • den Dunnen JT; Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
  • Laros JFJ; Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
  • Swertz MA; Department of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands.
  • van Gijn ME; Genomics Coordination Center & Department of Genetics, University Medical Center, Groningen, University of Groningen, Groningen, The Netherlands.
Hum Mutat ; 40(12): 2230-2238, 2019 12.
Article em En | MEDLINE | ID: mdl-31433103
ABSTRACT
Each year diagnostic laboratories in the Netherlands profile thousands of individuals for heritable disease using next-generation sequencing (NGS). This requires pathogenicity classification of millions of DNA variants on the standard 5-tier scale. To reduce time spent on data interpretation and increase data quality and reliability, the nine Dutch labs decided to publicly share their classifications. Variant classifications of nearly 100,000 unique variants were catalogued and compared in a centralized MOLGENIS database. Variants classified by more than one center were labeled as "consensus" when classifications agreed, and shared internationally with LOVD and ClinVar. When classifications opposed (LB/B vs. LP/P), they were labeled "conflicting", while other nonconsensus observations were labeled "no consensus". We assessed our classifications using the InterVar software to compare to ACMG 2015 guidelines, showing 99.7% overall consistency with only 0.3% discrepancies. Differences in classifications between Dutch labs or between Dutch labs and ACMG were mainly present in genes with low penetrance or for late onset disorders and highlight limitations of the current 5-tier classification system. The data sharing boosted the quality of DNA diagnostics in Dutch labs, an initiative we hope will be followed internationally. Recently, a positive match with a case from outside our consortium resulted in a more definite disease diagnosis.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Variação Genética / Disseminação de Informação / Sequenciamento de Nucleotídeos em Larga Escala / Doenças Genéticas Inatas Tipo de estudo: Diagnostic_studies / Guideline Limite: Humans País/Região como assunto: Europa Idioma: En Revista: Hum Mutat Assunto da revista: GENETICA MEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Variação Genética / Disseminação de Informação / Sequenciamento de Nucleotídeos em Larga Escala / Doenças Genéticas Inatas Tipo de estudo: Diagnostic_studies / Guideline Limite: Humans País/Região como assunto: Europa Idioma: En Revista: Hum Mutat Assunto da revista: GENETICA MEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Holanda