Abstract:Sole-source business models for genetic testing can create private databases containing information vital to interpreting the clinical significance of human genetic variations. But incomplete access to those databases threatens to impede the clinical interpretation of genomic medicine. National health systems and insurers, regulators, researchers, providers and patients all have a strong interest in ensuring broad access to information about the clinical significance of variants discovered through genetic test… Show more
“…The previous clinical tests used proprietary data 30 and somewhat different interpretation criteria. 80 They also used different nomenclature (eg, deleterious and favor polymorphism), which we mapped onto the ISV five-class nomenclature.…”
Section: Qc Datamentioning
confidence: 99%
“…30,31,80 Efforts to generate open and peer-reviewed databases, such as ClinVar, 89 may help improve quality and consistency between laboratories. The revised ISV guidelines may also help, although a critical element of medical and scientific judgment will continue to play a vital role in variant interpretation.…”
Section: Panel Versus Traditional Testing For Hbocmentioning
confidence: 99%
“…In addition, questions have long been raised about the potential for inconsistent variant interpretations between laboratories because of limited access to proprietary data and because of differences in interpretation criteria. 29,30 This is an increasingly relevant area for study, because NGS-based tests from multiple laboratories have emerged in recent years 31 and new guidelines for the interpretation of sequence variants (ISVs) have also emerged. 32 To help address these technical questions, particularly as they apply to hereditary breast/ovarian cancer (HBOC), we tested 1062 patients with an NGS-based 29-gene hereditary cancer panel.…”
Gene panels for hereditary breast and ovarian cancer risk assessment are gaining acceptance, even though the clinical utility of these panels is not yet fully defined. Technical questions remain, however, about the performance and clinical interpretation of gene panels in comparison with traditional tests. We tested 1105 individuals using a 29-gene next-generation sequencing panel and observed 100% analytical concordance with traditional and reference data on >750 comparable variants. These 750 variants included technically challenging classes of sequence and copy number variation that together represent a significant fraction (13.4%) of the pathogenic variants observed. For BRCA1 and BRCA2, we also compared variant interpretations in traditional reports to those produced using only non-proprietary resources and following criteria based on recent (2015) guidelines. We observed 99.8% net report concordance, albeit with a slightly higher variant of uncertain significance rate. In 4.5% of BRCA-negative cases, we uncovered pathogenic variants in other genes, which appear clinically relevant. Previously unseen variants requiring interpretation accumulated rapidly, even after 1000 individuals had been tested. We conclude that next-generation sequencing panel testing can provide results highly comparable to traditional testing and can uncover potentially actionable findings that may be otherwise missed. Challenges remain for the broad adoption of panel tests, some of which will be addressed by the accumulation of large public databases of annotated clinical variants.
“…The previous clinical tests used proprietary data 30 and somewhat different interpretation criteria. 80 They also used different nomenclature (eg, deleterious and favor polymorphism), which we mapped onto the ISV five-class nomenclature.…”
Section: Qc Datamentioning
confidence: 99%
“…30,31,80 Efforts to generate open and peer-reviewed databases, such as ClinVar, 89 may help improve quality and consistency between laboratories. The revised ISV guidelines may also help, although a critical element of medical and scientific judgment will continue to play a vital role in variant interpretation.…”
Section: Panel Versus Traditional Testing For Hbocmentioning
confidence: 99%
“…In addition, questions have long been raised about the potential for inconsistent variant interpretations between laboratories because of limited access to proprietary data and because of differences in interpretation criteria. 29,30 This is an increasingly relevant area for study, because NGS-based tests from multiple laboratories have emerged in recent years 31 and new guidelines for the interpretation of sequence variants (ISVs) have also emerged. 32 To help address these technical questions, particularly as they apply to hereditary breast/ovarian cancer (HBOC), we tested 1062 patients with an NGS-based 29-gene hereditary cancer panel.…”
Gene panels for hereditary breast and ovarian cancer risk assessment are gaining acceptance, even though the clinical utility of these panels is not yet fully defined. Technical questions remain, however, about the performance and clinical interpretation of gene panels in comparison with traditional tests. We tested 1105 individuals using a 29-gene next-generation sequencing panel and observed 100% analytical concordance with traditional and reference data on >750 comparable variants. These 750 variants included technically challenging classes of sequence and copy number variation that together represent a significant fraction (13.4%) of the pathogenic variants observed. For BRCA1 and BRCA2, we also compared variant interpretations in traditional reports to those produced using only non-proprietary resources and following criteria based on recent (2015) guidelines. We observed 99.8% net report concordance, albeit with a slightly higher variant of uncertain significance rate. In 4.5% of BRCA-negative cases, we uncovered pathogenic variants in other genes, which appear clinically relevant. Previously unseen variants requiring interpretation accumulated rapidly, even after 1000 individuals had been tested. We conclude that next-generation sequencing panel testing can provide results highly comparable to traditional testing and can uncover potentially actionable findings that may be otherwise missed. Challenges remain for the broad adoption of panel tests, some of which will be addressed by the accumulation of large public databases of annotated clinical variants.
“…Clinical laboratories and healthcare providers have various commercial incentives not to share data that they hold. 152 The data-deposit policies of funding agencies like NIH are not binding on these data holders, although many do voluntarily contribute at least some data to shared public data resources like ClinGen/ClinVar. 153 Commercial data holders' reluctance to share data poses an important barrier to the assembly of large-scale, linked data resources, even as surveys show most individuals would be willing to share.…”
“…La question a été soulevée à propos de la base de données de mutations BRCA détenue par Myriad Genetics, dès lors qu'un tel secret entretient le monopole de la firme et est susceptible de gêner l'interprétation médicale des mutations. Des chercheurs ont proposé la création d'une base de données publique pour contourner le secret, ou l'instauration d'une obligation de divulgation des mutations lors des demandes de certification des tests [6]. Les laboratoires concurrents de Myriad Genetics ont porté l'affaire en justice en 2013 pour infraction aux lois antitrust.…”
Section: Des Préoccupations Subsistentunclassified
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