Regional-specific calibration enables application of computational evidence for clinical classification of 5' cis-regulatory variants in Mendelian disease.

To date, clinical genetic testing for Mendelian disease variants has focused heavily on exonic coding and intronic gene regions. This multi-step study was undertaken to provide an evidence base for selecting and applying computational approaches for use in clinical classification of 5' cis-regulatory region variants. Curated datasets of clinically reported disease-causing 5' cis-regulatory region variants and variants from matched genomic regions in population controls were used to calibrate six bioinformatic tools as predictors of variant pathogenicity. Likelihood ratio estimates were aligned to code weights following ClinGen recommendations for application of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology (ACMG/AMP) classification scheme. Considering code assignment across all reference dataset variants, performance was best for CADD (81.2%) and REMM (81.5%). Optimized thresholds provided moderate evidence toward pathogenicity (CADD, REMM) and moderate (CADD) or supporting (REMM) evidence against pathogenicity. Both sensitivity and specificity of prediction were improved when further categorizing variants based on location in an EPDnew-defined promoter region. Combining predictions (CADD, REMM, and location in a promoter region) increased specificity at the expense of sensitivity. Importantly, the optimal CADD thresholds for assigning ACMG/AMP codes PP3 (≥10) and BP4 (≤8) were vastly different from recommendations for protein-coding variants (PP3 ≥25.3; BP4 ≤22.7); CADD <22.7 would incorrectly assign BP4 for >90% of reported disease-causing cis-regulatory region variants. Our results demonstrate the need to consider a tiered approach and tailored score thresholds to optimize bioinformatic impact prediction for clinical classification of 5' cis-regulatory region variants.

Unrecognised actionability for breast cancer risk variants identified in a national-level review of Australian familial cancer centres.

Breast cancer remains a significant global health challenge. In Australia, the adoption of publicly-funded multigene panel testing for eligible cancer patients has increased accessibility to personalised care, yet has also highlighted the increasing prevalence of variants of uncertain significance (VUS), complicating clinical decision-making. This project aimed to explore the spectrum and actionability of breast cancer VUS in Australian familial cancer centers (FCCs). Leveraging data from 11 FCCs participating in the Inherited Cancer Connect database, we retrieved VUS results from 1472 patients. Through ClinVar crosschecks and application of gene-specific ACMG/AMP guidelines, we showed the potential for reclassification of 4% of unique VUS as pathogenic or likely pathogenic, and 80% as benign or likely benign. Surveys conducted with FCCs and diagnostic laboratories described current practices and challenges in variant reclassifications, highlighting resource constraints preventing periodic VUS review and notifications from the laboratories to the FCCs. Our study suggests there are benefits to routine VUS review and reclassification, particularly in publicly-funded healthcare systems. Future research should focus on assessing the clinical impact and cost-effectiveness of implementing routine variant review practices, alongside efforts to enhance communication between FCCs and laboratories.