Scaling Resolution of Variant Classification Differences in ClinVar between 41 Clinical Laboratories Through an Outlier Approach

摘要

ClinVar provides open access to variant classifications shared from many clinical laboratories. While most classifications are consistent across laboratories, classification differences exist. To facilitate resolution of classification differences on a large scale, clinical laboratories were encouraged to reassess outlier classifications of variants with medically significant differences. Outliers were identified by first comparing ClinVar submissions from 41 clinical laboratories to detect variants with medically significant differences between the laboratories (650 variants). Next, medically significant differences were filtered for variants with ≥3 classifications (244 variants), of which 87.6% (213 variants) had a majority consensus in ClinVar, thus allowing for identification of outlier classifications in need of reassessment. Laboratories with outlier classifications were sent a custom report and encouraged to reassess variants. Results were returned for 204 (96%) variants, of which 62.3% (127) were resolved. Of those 127, 64.6% (82) were resolved due to reassessment prompted by this study and 35.4% (45) resolved by a previously completed reassessment. This study demonstrates a scalable approach to classification resolution and capitalizes on the value of data sharing within ClinVar. These activities will help the community move toward more consistent variant classifications which will improve the care of patients with, or at risk for, genetic disorders.