In the context of cancer predisposition syndromes, it is widely known that the correct interpretation of germline variants identified in multigene panel testing is essential for adequate genetic counseling and clinical decision making, in which variants of uncertain significance (VUS) are not considered actionable findings. Thus, their periodic re-evaluation using appropriate guidelines is notably important. In the present study, we compared the performance of the main variant classification guidelines (ACMG, Sherloc and ENIGMA) in variant reassessment, using as input a BRCA1/2 VUS case series (retrospective analysis) from Brazil, an ethnically diverse and admixed country with substantial challenges in VUS reclassification. As main findings, two of the 15 VUS analyzed were reclassified as likely pathogenic by the 3 guidelines, BRCA1 c.4987-3C > G (rs397509213) and BRCA2 c.7868A > G (rs80359012). Moreover, challenges in variant classification and reassessment are described and additional in silico data about structural impact of the variant BRCA2 c.7868A > G are provided. We hypothesize that the establishment of a framework to reassess VUS could improve this process in health centers that have not yet implemented this practice. Results of this study underscore that periodic monitoring of the functional, clinical, and bioinformatics data of a VUS by a multidisciplinary team are of utmost importance in clinical practice. When there is a specific guideline for a given gene, such as ENIGMA for BRCA1/2, it should be considered the first option for variant assessment. Finally, recruitment of VUS carriers and their relatives to participate in variant segregation studies and publication of VUS reclassification results in the international scientific literature should be encouraged.

The KCNJ2 gene encodes inward rectifier Kir2.1 channels, maintaining resting potential and cell excitability. Presumably, clinical phenotypes of mutation carriers correlate with ion permeability defects. Loss-of-function mutations lead to QTc prolongation with variable dysmorphic features, whereas gain-of-function mutations cause short QT syndrome and/or atrial fibrillation.
We screened 210 probands with Long QT syndrome for mutations in the KCNJ2 gene. The electrophysiological study was performed for the p.Val93Ile variant in the transfected CHO-K1 cells.
We found three rare genetic variants, p.Arg67Trp, p.Val93Ile, and p.R218Q, in three unrelated LQTS probands. Probands with p.Arg67Trp and p.R218Q had a phenotype typical for Andersen-Tawil (ATS), and the p.Val93Ile carrier had lone QTc prolongation. Variant p.Val93Ile was initially described as a gain-of-function pathogenic mutation causing familial atrial fibrillation. We validated electrophysiological features of this variant in CHO-K1 cells, but no family members of these patients had atrial fibrillation. Using ACMG (2015) criteria, we re-assessed this variant as a variant of unknown significance (class III).
LQT7 is a rare form of LQTS in Russia, and accounts for 1% of the LQTS cohort. Variant p.Val93Ile leads to a gain-of-function effect in the different cell lines, but its clinical appearance is not so consistent. The clinical significance of this variant might be overestimated.

This study aimed to investigate whether a bioinformatics application can streamline genome reanalysis and yield new diagnoses for patients with rare diseases.
We developed TierUp to identify variants in new disease genes for unresolved rare disease cases recruited to the 100,000 Genomes Project, all of whom underwent genome sequencing. TierUp uses the NHS Genomic Medicine Service bioinformatics infrastructure by securely accessing case details from the Clinical Interpretation Portal application programming interface and by querying the curated PanelApp database for novel gene-disease associations. We applied TierUp to 948 cases, and a subset of variants were reclassified according to the American College of Medical Genetics and Genomics/Association of Molecular Pathology guidelines.
A rare form of spondylometaphyseal dysplasia was diagnosed through TierUp reanalysis, and an additional 4 variants have been reported to date. From a total of 564,441 variants across patients, TierUp highlighted 410 variants present in novel disease genes in under 77 minutes, successfully expediting an important reanalysis strategy.
TierUp supports claims that automation can reduce the time taken to reanalyze variants and increase the diagnostic yield from molecular testing. Clinical services should leverage bioinformatics expertise to develop tools that enable routine reanalysis. In addition, services must also explore the ethical, legal, and health economic considerations raised by automation.