2016
DOI: 10.1186/s13073-016-0367-z
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Somatic cancer variant curation and harmonization through consensus minimum variant level data

Abstract: BackgroundTo truly achieve personalized medicine in oncology, it is critical to catalog and curate cancer sequence variants for their clinical relevance. The Somatic Working Group (WG) of the Clinical Genome Resource (ClinGen), in cooperation with ClinVar and multiple cancer variant curation stakeholders, has developed a consensus set of minimal variant level data (MVLD). MVLD is a framework of standardized data elements to curate cancer variants for clinical utility. With implementation of MVLD standards, and… Show more

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Cited by 59 publications
(44 citation statements)
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“…MVLD formatted variants contain AMP somatic variant interpretation guidelines as one of their central fields in the “Level of Evidence” element (Li et al., 2017; Ritter et al., 2016). AMP somatic variant interpretation guidelines assign a Tier and Level to classify a somatic variant.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…MVLD formatted variants contain AMP somatic variant interpretation guidelines as one of their central fields in the “Level of Evidence” element (Li et al., 2017; Ritter et al., 2016). AMP somatic variant interpretation guidelines assign a Tier and Level to classify a somatic variant.…”
Section: Resultsmentioning
confidence: 99%
“…Briefly, MVLD is a metadata structure that guides selection of ontologies and terminologies (Ritter et al., 2016). MVLD organizes data elements into three categories: Allele Descriptive, Allele Interpretive, and Somatic Interpretive (Figure 2).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…However, discussion and review of criteria were able to more than double this concordance, demonstrating the need for and success of open discourse in clinical variant interpretation 21 . Recently, the Somatic Working Group (WG) of the Clinical Genome Resource (ClinGen) has published a consensus set of minimal variant-level data (MVLD) to help standardize data elements needed for curation of the clinical utility of somatic cancer variants 23 . At present, cancer variant interpretation efforts that nominally have the same goals show a remarkably low overlap in source publications cited for these interpretations (1.6–71.6%, but generally less than 25%; Supplementary Table 2).…”
mentioning
confidence: 99%
“…Similar criteria for somatic testing have only been available recently, and utility of these guidelines for standardizing somatic variant interpretation and reporting across laboratories remains to be evaluated. 67,68 Though there are some tools available to assist the implementation of these guidelines for variant classification, use of these guidelines is labor-intensive and we lack automated tools that can evaluate several of these criteria and support the process. 69 As diagnostic panels increase in size, the likelihood of detecting incidental findings also increases, in particular with whole genome and whole exome testing.…”
mentioning
confidence: 99%