Germline variants in cancer susceptibility genes (CSGs) are typically inherited rather than arising de novo. Hence, wide cascade testing of families across geographies is common, meaning consistency in variant classification is particularly critical. Variant interpretation requires collation of variant-level data from diverse sources, as well as assembly of comprehensive clinical data, often necessitating sharing of information between genomic testing centers. Here, we describe CanVar-UK, a freely accessible web platform bespoke designed to support interpretation of germline CSG variants. CanVar-UK contains variant-level data for over 1.1 million single-nucleotide variants (SNVs), comprising all possible coding SNVs in 116 established CSGs. The data sources with which variants are annotated include in silico scores from 11 clinically relevant tools, population allele frequencies from gnomAD v4.1, case counts from multiple cohorts, including National Health Service (NHS) clinical laboratory testing, variant-level readouts from 47 selected functional and splicing datasets across 19 CSGs, genetic epidemiology studies, and live linkage to existing consensus classifications in the ClinVar database. The diagnostic discussion forum is only available to registered diagnostic scientist users. Through this, a variant-tagged email message can be dispatched in real time across the diagnostic forum community of >1,500 users, with all exchanges and classifications captured and stored in the platform. Already widely used by NHS diagnostic clinical scientists in the UK, CanVar-UK has a rapidly growing international diagnostic user base (>800 UK and >600 non-UK registered users). Survey of the NHS diagnostic user community illustrates the wide-ranging utility of CanVar-UK within their clinical workflows for interpretation of germline CSG variants.
C. Rowlands, Su-Bin Choi, Sophie Allen et al.· American Journal of Human Ge...· 0 citations
Background: There is a growing recognition that genetic predisposition contributes to the development of fibrotic interstitial lung disease. Adult onset monogenic disease is most commonly due to dysfunctional telomere maintenance, with a small proportion caused by surfactant biology disorders. These conditions can be associated with additional intrapulmonary and extrapulmonary features which themselves may require surveillance or treatment, making it important to make a genetic diagnosis. The recent introduction in England of a genetic testing panel accessible to respiratory physicians means that genetic information for these individuals is increasingly available but there is currently little standardisation of the subsequent management of patients and their relatives, which can be complex.Aims: This consensus considers the causes and clinical features of familial pulmonary fibrosis and provides a suggested framework for genetic investigation and clinical management of both patients and their relatives.Narrative: We suggest an initial workup that may help identify those with monogenic disease, with focus on key points in the history and examination that may identify features of a telomere or surfactant biology disorder. We highlight that clinical and radiological presentations are diverse and discuss the importance of making a genetic diagnosis to inform multidisciplinary management and facilitate screening of close family members. We also discuss the many outstanding uncertainties and challenges, including the investigation and management of non-monogenic familial pulmonary fibrosis and the management of asymptomatic family members who have inherited a potentially disease-causing genetic variant.Conclusions: We suggest a pathway for the workup and management of patients with familial pulmonary fibrosis, aiming to standardise clinical care for patients and their relatives and provide a framework for the development of a national database to facilitate disease phenotyping and clinical research to improve the evidence base for clinical practice.
A. R. Bowden, D. Morris-Rosendahl, Helen Hanson et al.· Thorax· 0 citations
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