Genetic testing of cancer susceptibility genes is now widely applied in clinical practice to predict risk of developing cancer. In general, sequence-based testing of germline DNA is used to determine whether an individual carries a change that is clearly likely to disrupt normal gene function. Genetic testing may detect changes that are clearly pathogenic, clearly neutral, or variants of unclear clinical significance. Such variants present a considerable challenge to the diagnostic laboratory and the receiving clinician in terms of interpretation and clear presentation of the implications of the result to the patient. There does not appear to be a consistent approach to interpreting and reporting the clinical significance of variants either among genes or among laboratories. The potential for confusion among clinicians and patients is considerable and misinterpretation may lead to inappropriate clinical consequences. In this article we review the current state of sequence-based genetic testing, describe other standardized reporting systems used in oncology, and propose a standardized classification system for application to sequence-based results for cancer predisposition genes. We suggest a system of five classes of variants based on the degree of likelihood of pathogenicity. Each class is associated with specific recommendations for clinical management of at-risk relatives that will depend on the syndrome. We propose that panels of experts on each cancer predisposition syndrome facilitate the classification scheme and designate appropriate surveillance and cancer management guidelines. The international adoption of a standardized reporting system should improve the clinical utility of sequence-based genetic tests to predict cancer risk.
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http://dx.doi.org/10.1002/humu.20880 | DOI Listing |
Int J Pediatr Otorhinolaryngol
January 2025
Otorhinolaryngology Department, Faculty of Medicine, Menoufia University, Menoufia, Egypt; Medicine and Surgery Program, Menoufia National University, Menoufia, Egypt. Electronic address:
Purpose: Familial Mediterranean fever (FMF) is the most prevalent genetic autoinflammatory disease worldwide. There are several novel advancements in pathophysiology, genetic testing, diagnosis, comorbidities, disease-related damage, and treatment strategies. This study aimed to assess the effect of tonsillectomy on FMF disease severity and activity.
View Article and Find Full Text PDFSurg Today
January 2025
Department of Surgery, Division of Breast and Endocrine Surgery, School of Medicine, Hyogo Medical University, 1-1 Mukogawa-cho, Nishinomiya, Hyogo, 663-8501, Japan.
Purpose: To clarify the status of multigene panel testing for suspected hereditary breast cancer in our institute, and disclose the characteristics of the variants detected.
Methods: This was a retrospective study of individuals who underwent next-generation sequencing-based multigene panel testing at our institute to investigate hereditary genetic variants for suspected hereditary breast cancer.
Results: We identified 36 women who underwent multigene panel testing: 8 (22.
Anal Bioanal Chem
January 2025
Intercollege Graduate Degree Program in Plant Biology, Pennsylvania State University, University Park, PA, USA.
Species identification of botanical products is a crucial aspect of research and regulatory compliance; however, botanical classification can be difficult, especially for morphologically similar species with overlapping genetic and metabolomic markers, like those in the genus Ocimum. Untargeted LC-MS metabolomics coupled with multivariate predictive modeling provides a potential avenue for improving herbal identity investigations, but the current dearth of reference materials for many botanicals limits the applicability of these approaches. This study investigated the potential of using greenhouse-grown authentic Ocimum to build predictive models for classifying commercially available Ocimum products.
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January 2025
Computer Science Department; Badji Mokhtar University, Algeria.
This study attempted to optimize the adaptive neuro-fuzzy inference system (ANFIS) using particle swarm optimization (PSO) and a genetic algorithm (GA) for calculating occupational risk. Numerous studies have shown that the ANFIS is a good approach for predicting engineering problems. However, it is not well investigated in the area of risk assessment.
View Article and Find Full Text PDFJ Ultrasound Med
January 2025
BCNatal Fetal Medicine Research Center (Hospital Clınic and Hospital Sant Joan de Deu), University of Barcelona, Barcelona, Catalonia, Spain.
Anomalies of the corpus callosum (CC) are amongst the most common fetal Central Nervous System (CNS) anomalies detectable on ultrasound. Underlying genetic disease plays an important part in defining prognosis. Associations with aneuploidy and submicroscopic chromosomal deletions or duplications have been well demonstrated using chromosomal microarray analysis.
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