Higher-than-expected population prevalence of potentially pathogenic germlineTP53variants in individuals unselected for cancer history
Year: 2017
Type: article
Abstract: Li-Fraumeni syndrome (LFS) is an autosomal-dominant cancer predisposition disorder associated with pathogenic germline variants in TP53, with a high penetrance over an individual's lifetime. The actual population prevalence of pathogenic germline TP53 mutations is still unclear, most likely due to biased selection of cancer affected families. The aim of this study was to estimate the population prevalence of potentially pathogenic TP53 exonic variants in three sequencing databases, totaling 63,983 unrelated individuals. Potential pathogenicity was defined using an original algorithm combining bioinformatic prediction tools, suggested clinical significance, and functional data. We identified 34 different potentially pathogenic TP53 variants in 131 out of 63,983 individuals (0.2%). Twenty-eight (82%) of these variants fell within the DNA-binding domain of TP53, with an enrichment for specific variants that were not previously identified as LFS mutation hotspots, such as the p.R290H and p.N235S variants. Our findings reveal that the population prevalence of potentially pathogenic TP53 variants may be up to 10 times higher than previously estimated from family-based studies. These results point to the need for further studies aimed at evaluating cancer penetrance modifiers as well as the risk associated between cancer and rare TP53 variants.
Source: Human Mutation
DOI: 10.1002/humu.23320
Institutions: National Institutes of Health, AC Camargo Hospital, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research Inc. (United States), American Cancer Society, Centre National de la Recherche Scientifique, Inserm, Institut pour l'avancée des biosciences, Université Grenoble Alpes
Language: English
Topic: Genomics and Rare Diseases
Subfield: Genetics
Domain: Life Sciences
Open Access status: bronze
Award: Family Studies
OpenAlex ID: W2751155251
