Collaborator: QIMR Berghofer Medical Research Institute
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Genotype-phenotype correlations among TP53 carriers: literature review and analysis of probands undergoing multi-gene panel testing and single-gene testing
Abstract Pathogenic germline variants in the TP53 gene predispose to a wide range of cancers, known collectively as Li-Fraumeni syndrome (LFS). There has been much research aimed to identify genotype-phenotype correlations, that is, differences between variant location and/or effect and cancer spectrum. These correlations, should they exist, have potential to impact clinical management of carriers.…
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Improved, ACMG-compliant, in silico prediction of pathogenicity for missense substitutions encoded by TP53 variants
Abstract Clinical interpretation of germline missense variants represents a major challenge, including those in the TP53 Li–Fraumeni syndrome gene. Bioinformatic prediction is a key part of variant classification strategies. We aimed to optimize the performance of the Align‐GVGD tool used for p53 missense variant prediction, and compare its performance to other bioinformatic tools (SIFT, PolyPhen‐2) and ensemble…
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Classification of variants of uncertain significance in BRCA1 and BRCA2 using personal and family history of cancer from individuals in a large hereditary cancer multigene panel testing cohort
Abstract Purpose Genetic testing of individuals often results in identification of genomic variants of unknown significance (VUS). Multiple lines of evidence are used to help determine the clinical significance of these variants. Methods We analyzed ~138,000 individuals tested by multigene panel testing (MGPT). We used logistic regression to predict carrier status based on personal and…