Background: Genetic diagnostics support the diagnosis of hereditary arrhythmogenic diseases, but variants of uncertain significance (VUS) complicate matters, emphasising the need for regular reassessment. Our study aims to reanalyse rare variants in different genes in order to decrease VUS diagnoses and thus improve risk stratification and personalized treatment for patients with arrhythmogenic disorders.
Methods: Genomic DNA was analysed using Sanger sequencing and next-generation sequencing (NGS). The Data was evaluated using various databases and in silico prediction tools and classified according to current ACMG standards by two independent experts.
Results: We identified 53 VUS in 30 genes, of which 17 variants (32%) were reclassified. 13% each were downgraded to likely benign (LB) and benign (B) and 6% were upgraded to likely pathogenic (LP). Reclassifications mainly occurred among variants initially classified in 2017-2019, with rates ranging from 50 to 60%.
Conclusion: The results support the assumption that regular reclassification of VUS is important, as it provides new insights for genetic diagnostics, that benefit patients and guide therapeutic approach.
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http://dx.doi.org/10.1186/s12872-024-04065-w | DOI Listing |
Pediatr Nephrol
January 2025
Pediatric Nephrology Services, Department of Pediatrics, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Pondicherry, 605006, India.
Background: Limited research exists regarding the genetic profile, clinical characteristics, and outcomes of refractory rickets in children from India.
Methods: Patients with refractory rickets aged ≤ 18 years were enrolled. Data regarding clinical features, etiology, genotype-phenotype correlation, and estimated glomerular filtration rate (eGFR) were recorded.
Viruses
January 2025
Department of Microbiology, Clínica Universidad de Navarra, 31008 Pamplona, Spain.
The emergence of new variants and diverse vaccination regimens have raised uncertainty about vaccine effectiveness against SARS-CoV-2. This study aims to investigate the impact of Omicron primo-/reinfection and primary vaccination schedules on the immunogenicity of an mRNA-based booster dose over a six-month period. We conducted a prospective cohort study to assess the durability and level of antibodies of 678 healthcare workers fully vaccinated against COVID-19.
View Article and Find Full Text PDFGenes (Basel)
January 2025
Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, 4288A-1151 Richmond Street North, London, ON N6A 5B7, Canada.
Biallelic rare pathogenic loss-of-function (LOF) variants in lipoprotein lipase () cause familial chylomicronemia syndrome (FCS). Heterozygosity for these same variants is associated with a highly variable plasma triglyceride (TG) phenotype ranging from normal to severe hypertriglyceridemia (HTG), with longitudinal variation in phenotype severity seen often in a given carrier. Here, we provide an updated overview of genetic variation in in the context of HTG, with a focus on disease-causing and/or disease-associated variants.
View Article and Find Full Text PDFGenes (Basel)
December 2024
The School of Genetics and Microbiology, Trinity College Dublin, Dublin 2, D02 VF25 Dublin, Ireland.
Background: An estimated 10-15% of all genetic diseases are attributable to variants in noncanonical splice sites, auxiliary splice sites and deep-intronic variants. Most of these unstudied variants are classified as variants of uncertain significance (VUS), which are not clinically actionable. This study investigated two novel splice-altering variants, NM_000390.
View Article and Find Full Text PDFGenes (Basel)
December 2024
Dmitry Rogachev National Medical Center of Pediatric Hematology, Oncology and Immunology, 117198 Moscow, Russia.
The advent of next-generation sequencing (NGS) has revolutionized the analysis of genetic data, enabling rapid identification of pathogenic variants in patients with inborn errors of immunity (IEI). Sometimes, the use of NGS-based technologies is associated with challenges in the evaluation of the clinical significance of novel genetic variants. In silico prediction tools, such as SpliceAI neural network, are often used as a first-tier approach for the primary examination of genetic variants of uncertain clinical significance.
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