Genetics in Medicine · 2017 · 122 citations · 29 references
Life SciencesGeneticsMolecular GeneticsGenomic Data AnalysisHuman GeneticsMedical GeneticsGermline Variant AnalysisGermline Variant InterpretationMutation AnalysisVariant AnalysisVariant ClassificationVariant InterpretationConcordance AssessmentConsensus Variant ClassificationGenetic InterpretationGenomic Variant InterpretationGermline Variant ClassificationPathogenic Variant ClassificationQuality AssessmentVariant Pathogenicity Classification
PurposeClinVar is increasingly used as a resource for both genetic variant interpretation and clinical practice. However, controversies exist regarding the consistency of classifications in ClinVar, and questions remain about how best to use these data. Our study systematically examined ClinVar to identify common sources of discordance and thus inform ongoing practices.MethodsWe analyzed variants that had multiple classifications in ClinVar, excluding benign polymorphisms. Classifications were categorized by potential actionability and pathogenicity. Consensus interpretations were calculated for each variant, and the properties of the discordant outlier classifications were summarized.ResultsOur study included 74,065 classifications of 27,224 unique variants in 1,713 genes. We found that (i) concordance rates differed among clinical areas and variant types; (ii) clinical testing methods had much higher concordance than basic literature curation and research efforts; (iii) older classifications had greater discordance than newer ones; and (iv) low-penetrance variants had particularly high discordance.ConclusionRecent variant classifications from clinical testing laboratories have high overall concordance in many (but not all) clinical areas. ClinVar can be a reliable resource supporting variant interpretation, quality assessment, and clinical practice when factors uncovered in this study are taken into account. Ongoing improvements to ClinVar may make it easier to use, particularly for nonexpert users.
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Sue Richards, Nazneen Aziz, Sherri J. Bale et al. · Genetics in Medicine · 2015 · 32.2K citations · Full text
Analysis of protein-coding genetic variation in 60,706 humans
Monkol Lek, Konrad J. Karczewski, Eric Vallabh Minikel et al. · Nature · 2016 · 10.3K citations · Full text
ClinVar: public archive of interpretations of clinically relevant variants
Melissa Landrum, Jennifer M. Lee, Mark J. Benson et al. · Nucleic Acids Research · 2015 · 2.9K citations · Full text