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Reclassification of clinically-detected sequence variants: Framework for genetic clinicians and clinical scientists by CanVIG-UK (Cancer Variant Interpretation Group UK).
Loong, Lucy; Garrett, Alice; Allen, Sophie; Choi, Subin; Durkie, Miranda; Callaway, Alison; Drummond, James; Burghel, George J; Robinson, Rachel; Torr, Beth; Berry, Ian R; Wallace, Andrew J; Eccles, Diana M; Ellard, Sian; Baple, Emma; Evans, D Gareth; Woodward, Emma R; Kulkarni, Anjana; Lalloo, Fiona; Tischkowitz, Marc; Lucassen, Anneke; Hanson, Helen; Turnbull, Clare.
Afiliação
  • Loong L; Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, United Kingdom.
  • Garrett A; Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, United Kingdom.
  • Allen S; Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, United Kingdom.
  • Choi S; Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, United Kingdom.
  • Durkie M; Sheffield Diagnostic Genetics Service, NHS North East and Yorkshire Genomic Laboratory Hub, Sheffield Children's NHS Foundation Trust, Sheffield, United Kingdom.
  • Callaway A; Wessex Regional Genetics Laboratory, Central and South Genomics Laboratory Hub, Salisbury NHS Foundation Trust, Salisbury District Hospital, Salisbury, Wiltshire, United Kingdom.
  • Drummond J; Cambridge Genomic Laboratory, East Genomic Laboratory Hub, Cambridge University Hospital NHS Foundation Trust, Cambridge, United Kingdom.
  • Burghel GJ; Manchester Centre for Genomic Medicine and North West Genomic Laboratory Hub, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom.
  • Robinson R; North East and Yorkshire Genomic Laboratory Hub, The Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom.
  • Torr B; Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, United Kingdom.
  • Berry IR; Bristol Genetics Laboratory, Southmead Hospital, North Bristol NHS Trust, Bristol, United Kingdom.
  • Wallace AJ; Manchester Centre for Genomic Medicine and North West Genomic Laboratory Hub, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom.
  • Eccles DM; Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom; Human Genetics and Genomic Medicine, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.
  • Ellard S; Exeter Genomics Laboratory, South West Genomic Laboratory Hub, Royal Devon and Exeter NHS Foundation Trust, Exeter, United Kingdom; University of Exeter Medical School, Exeter, United Kingdom.
  • Baple E; University of Exeter Medical School, Exeter, United Kingdom; Genomics England, London, United Kingdom.
  • Evans DG; Manchester Centre for Genomic Medicine and North West Genomic Laboratory Hub, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom; Division of Evolution & Genomic Sciences, The University of Manchester, Manchester, United Kingdom.
  • Woodward ER; Manchester Centre for Genomic Medicine and North West Genomic Laboratory Hub, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom; Division of Evolution & Genomic Sciences, The University of Manchester, Manchester, United Kingdom.
  • Kulkarni A; Southeast Thames Regional Genetics Service, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
  • Lalloo F; Manchester Centre for Genomic Medicine and North West Genomic Laboratory Hub, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom.
  • Tischkowitz M; Department of Medical Genetics, National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, United Kingdom.
  • Lucassen A; Wellcome Centre for Human Genetics/Centre for Personalised Medicine, University of Oxford, Oxford, United Kingdom; Clinical Ethics and Law, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.
  • Hanson H; Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, United Kingdom; Department of Clinical Genetics, St. George's University Hospitals NHS Foundation Trust, London, United Kingdom.
  • Turnbull C; Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, United Kingdom; Cancer Genetics Unit, The Royal Marsden NHS Foundation Trust, London, United Kingdom. Electronic address: clare.turnbull@icr.ac.uk.
Genet Med ; 24(9): 1867-1877, 2022 09.
Article em En | MEDLINE | ID: mdl-35657381
PURPOSE: Variant classifications may change over time, driven by emergence of fresh or contradictory evidence or evolution in weighing or combination of evidence items. For variant classifications above the actionability threshold, which is classification of likely pathogenic or pathogenic, clinical actions may be irreversible, such as risk-reducing surgery or prenatal interventions. Variant reclassification up or down across the actionability threshold can therefore have significant clinical consequences. Laboratory approaches to variant reinterpretation and reclassification vary widely. METHODS: Cancer Variant Interpretation Group UK is a multidisciplinary network of clinical scientists and genetic clinicians from across the 24 Molecular Diagnostic Laboratories and Clinical Genetics Services of the United Kingdom (NHS) and Republic of Ireland. We undertook surveys, polls, and national meetings of Cancer Variant Interpretation Group UK to evaluate opinions about clinical and laboratory management regarding variant reclassification. RESULTS: We generated a consensus framework on variant reclassification applicable to cancer susceptibility genes and other clinical areas, which provides explicit recommendations for clinical and laboratory management of variant reclassification scenarios on the basis of the nature of the new evidence, the magnitude of evidence shift, and the final classification score. CONCLUSION: In this framework, clinical and laboratory resources are targeted for maximal clinical effect and minimal patient harm, as appropriate to all resource-constrained health care settings.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Testes Genéticos / Neoplasias Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Testes Genéticos / Neoplasias Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article