Marginal Contribution of Pathogenic RAD51D Germline Variants to Pakistani Early-Onset and Familial Breast/Ovarian Cancer Patients.

Introduction: RAD51D has been reported as a breast cancer (BC) and ovarian cancer (OC) predisposition gene, particularly among Caucasian populations. We studied the prevalence of RAD51D variants in Pakistani BC/OC patients. Materials and Methods: In total, 371 young or familial BC/OC patients were thoroughly analyzed for RAD51D sequence variants using denaturing high-performance liquid chromatography pursued by DNA sequencing of differentially eluted amplicons. We also assessed the pathogenic effects of novel variants using in-silico algorithms. All detected RAD51D variants were investigated in 400 unaffected controls. Results: No pathogenic RAD51D variant was detected. However, we identified nine unique heterozygous variants. Of these, two missense variants (p.Pro10Leu and p.Ile311Asn) and one intronic variant (c.481-26_23delGTTC) were classified as in silico-predicted variants of uncertain significance, with a frequency of 0.8% (3/371). The p.Pro10Leu variant was detected in a 28-year-old female BC patient of Punjabi ethnic background, whose mother and maternal cousin had BCs at ages 53 and 40, respectively. This variant was also detected in 1/400 (0.25%) healthy controls, where the control subject's daughter had acute lymphoblastic leukemia. The p.Ile311Asn variant was identified in a female BC patient at age 29 of Punjabi ethnicity and in 1/400 (0.25%) healthy controls, where the control subject's daughter had Hodgkin's disease at age 14. A novel intronic variant, c.481-26_-23delGTTC, was found in a 30-year-old Punjabi female BC patient but not in 400 healthy controls. Conclusion: No pathogenic RAD51D variant was identified in the current study. Our study data suggested a negligible association of RAD51D variants with BC/OC risk in Pakistani women.

Co-observation of germline pathogenic variants in breast cancer predisposition genes: Results from analysis of the BRIDGES sequencing dataset.

Co-observation of a gene variant with a pathogenic variant in another gene that explains the disease presentation has been designated as evidence against pathogenicity for commonly used variant classification guidelines. Multiple variant curation expert panels have specified, from consensus opinion, that this evidence type is not applicable for the classification of breast cancer predisposition gene variants. Statistical analysis of sequence data for 55,815 individuals diagnosed with breast cancer from the BRIDGES sequencing project was undertaken to formally assess the utility of co-observation data for germline variant classification. Our analysis included expected loss-of-function variants in 11 breast cancer predisposition genes and pathogenic missense variants in BRCA1, BRCA2, and TP53. We assessed whether co-observation of pathogenic variants in two different genes occurred more or less often than expected under the assumption of independence. Co-observation of pathogenic variants in each of BRCA1, BRCA2, and PALB2 with the remaining genes was less frequent than expected. This evidence for depletion remained after adjustment for age at diagnosis, study design (familial versus population-based), and country. Co-observation of a variant of uncertain significance in BRCA1, BRCA2, or PALB2 with a pathogenic variant in another breast cancer gene equated to supporting evidence against pathogenicity following criterion strength assignment based on the likelihood ratio and showed utility in reclassification of missense BRCA1 and BRCA2 variants identified in BRIDGES. Our approach has applicability for assessing the value of co-observation as a predictor of variant pathogenicity in other clinical contexts, including for gene-specific guidelines developed by ClinGen Variant Curation Expert Panels.

A likelihood ratio approach for utilizing case-control data in the clinical classification of rare sequence variants: application to BRCA1 and BRCA2.

A large number of variants identified through clinical genetic testing in disease susceptibility genes, are of uncertain significance (VUS). Following the recommendations of the American College of Medical Genetics and Genomics (ACMG) and Association for Molecular Pathology (AMP), the frequency in case-control datasets (PS4 criterion), can inform their interpretation. We present a novel case-control likelihood ratio-based method that incorporates gene-specific age-related penetrance. We demonstrate the utility of this method in the analysis of simulated and real datasets. In the analyses of simulated data, the likelihood ratio method was more powerful compared to other methods. Likelihood ratios were calculated for a case-control dataset of BRCA1 and BRCA2 variants from the Breast Cancer Association Consortium (BCAC), and compared with logistic regression results. A larger number of variants reached evidence in favor of pathogenicity, and a substantial number of variants had evidence against pathogenicity - findings that would not have been reached using other case-control analysis methods. Our novel method provides greater power to classify rare variants compared to classical case-control methods. As an initiative from the ENIGMA Analytical Working Group, we provide user-friendly scripts and pre-formatted excel calculators for implementation of the method for rare variants in BRCA1, BRCA2 and other high-risk genes with known penetrance.