Investigator

Maria Zanti

Visiting Researcher · University of Cambridge, Department of Public Health and Primary Care

MZMaria Zanti
Papers(1)
Evidence for pathogen…
Collaborators(6)
Marinus BlokSetareh MoghadasiArjen MensenkampKatrien StormKyriaki MichailidouMaaike P G Vreeswijk
Institutions(5)
Cyprus Institute Of N…Maastricht UniversityLeiden University Med…Radboud University Me…Antwerp University Ho…

Papers

Evidence for pathogenicity of BRCA2 c.8351G>A p.(Arg2784Gln) and the challenges in classification of pathogenic variants with reduced penetrance

Background The BRCA2 c.8351G>A p.(Arg2784Gln) variant has long been classified as a variant of uncertain significance (VUS) due to conflicting evidence used in variant classification. This study aims to clarify its pathogenicity and associated risks for breast and ovarian cancer. Methods This study was conducted by the international Evidence-based Network for the Interpretation of Germline Mutant Alleles consortium. We collected data from 29 informative families with this variant. Co-segregation likelihood ratios (LRs) were calculated using the full-likelihood method to assess pathogenicity, and cancer risks were estimated with modified segregation analysis. Results Co-segregation analysis using a grid search across scaled penetrance levels for BRCA2 truncating variants yielded the strongest evidence in favour of pathogenicity, with LR maximised at approximately 20% of full penetrance (LR=11.026). Furthermore, estimated breast cancer risks were markedly higher for early onset breast cancer; women diagnosed at <50 years had a HR of 4.5, compared with a HR of 1.65 for women diagnosed at ≥50 years. The estimated lifetime risks were 25% for breast cancer and 6% for ovarian cancer. Evidence of pathogenicity was also supported by the presence of the variant allele in two patients with Fanconi anaemia. Conclusions Our results indicate that BRCA2 c.8351G>A p.(Arg2784Gln) has a disease-causing effect, with reduced penetrance, similar to other pathogenic variants in moderate risk breast cancer genes such as ATM and CHEK2 . We also provide risk-adapted recommendations for clinical management. Importantly, one should be aware of a reduced penetrance as the underlying reason for conflicting results among pieces of evidence used for variant classification.

21Works
1Papers
6Collaborators
Genetic Predisposition to DiseaseBreast NeoplasmsParkinson DiseaseOvarian Neoplasms

Positions

2024–

Visiting Researcher

University of Cambridge · Department of Public Health and Primary Care

2023–

Associate Scientist

The Cyprus Institute of Neurology and Genetics · Biostatistics Unit

2020–

Laboratory Scientific Officer

The Cyprus Institute of Neurology and Genetics · Biostatistics Unit

2016–

Research Assistant-PhD Candidate

Cyprus Institute of Neurology and Genetics · Electron Microscopy/Molecular Pathology | Bioinformatics Group

Education

2021

PhD in Molecular Medicine

Cyprus Institute of Neurology and Genetics

2016

MSc in Molecular Medicine

Cyprus Institute of Neurology and Genetics

2015

BSc in Biology

Aristotle University of Thessaloniki