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Purpose: The Australian Genomics Cardiovascular Disorders Flagship was a national multidisciplinary collaboration. It aimed to investigate the feasibility of genome sequencing (GS) and functional genomics to resolve variants of uncertain significance (VUS) in the clinical management of patients and families with cardiomyopathies, primary arrhythmias, and congenital heart disease (CHD).
Methods: Between April 2019 and December 2021, 600 probands meeting cardiovascular disorder criteria from 17 cardiology and genetics clinics across Australia were enrolled in the Flagship and underwent GS. The Flagship adopted a tiered approach to GS analysis. Tier 1 analysis assessed genes with established clinical validity for each cardiovascular condition. Tier 2 analysis assessed lesser-evidenced research-based genes. Tier 3 analysis assessed the functional impact of VUS that remained after tier 1 and tier 2 analysis.
Results: Overall, a pathogenic or likely pathogenic variant was identified in 41% of participants with a cardiomyopathy, 40% with an arrhythmia syndrome, and 15% with a familial CHD/CHD+Extra Cardiac Anomalies. A VUS outcome ranged from 13% for arrhythmias to 34% for CHD/CHD+Extra Cardiac Anomalies participants. Tier 2 research analysis identified a likely pathogenic/pathogenic variant for a further 15 participants and a VUS for an additional 15 participants.
Conclusion: The Flagship successfully facilitated a model of care that harnesses clinical GS and functional genomics for the resolution of VUS in the clinical setting. This valuable data set can be used to inform clinical practice and facilitate research into the future.
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http://dx.doi.org/10.1016/j.gimo.2024.101842 | DOI Listing |
Front Genet
August 2025
Department of Medical Genetics, Jiangxi Maternal and Child Health Hospital, Nanchang, China.
Objective: The aim of this study was to determine the diagnostic value of prenatal chromosomal microarray analysis (CMA) for fetuses at high risk for various conditions on chromosomal abnormalities.
Methods: In the study, 8,560 clinical samples were collected from pregnant women between February 2018 and June 2022, including 75 villus, 7,642 amniotic fluid, and 843 umbilical cord blood samples. All samples were screening for chromosomal abnormalities using both CMA and karyotyping.
Eye (Lond)
September 2025
Genetics Laboratory, Metropolitan South Clinical Laboratory, Bellvitge University Hospital, Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.
Background: Inherited retinal dystrophies (IRDs) are a genetically heterogeneous group of conditions, with approximately 40% of cases remaining unresolved after initial genetic testing. This study aimed to assess the impact of a personalised genomic approach integrating whole-exome sequencing (WES) reanalysis, whole-genome sequencing (WGS), customised gene panels and functional assays to improve diagnostic yield in unresolved cases.
Subjects/methods: We retrospectively reviewed a cohort of 597 individuals with IRDs, including 525 probands and 72 affected relatives.
Int J Biol Macromol
September 2025
Department of Computational Biology, Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), Okhla Phase III, New Delhi, 110020, India; Infosys Centre for Artificial Intelligence, Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), Okhla Phase III, New Delhi, 110020, In
Understanding the structural and functional diversity of toxin proteins is critical for elucidating macromolecular behavior, mechanistic variability, and structure-driven bioactivity. Traditional approaches have primarily focused on binary toxicity prediction, offering limited resolution into distinct modes of action of toxins. Here, we present MultiTox, an ensemble stacking framework for the classification of toxin proteins based on their molecular mode of action: neurotoxins, cytotoxins, hemotoxins, and enterotoxins.
View Article and Find Full Text PDFBr J Sociol
September 2025
Department of Sociology, National University of Singapore, Singapore.
While there is a growing body of literature examining platform dependence and its implications for mental health, much of the research has focused on gig workers with small sample sizes. The lack of large-scale quantitative research, particularly using longitudinal representative data, limits a comprehensive understanding of the dynamic relationship between platform dependence and mental distress. This study uses nationally representative data from the UK and fixed effects models to explore the heterogeneity of gig work, specifically examining differences in mental distress between high-dependence workers (those solely engaged in gig work) and low-dependence workers (those also employed in other jobs).
View Article and Find Full Text PDFEnviron Res
September 2025
Department of Environment and Energy, Sejong University, Seoul 05006, South Korea. Electronic address:
Identifying the sources of sedimentary organic matter (OM) is essential for understanding pollution dynamics and guiding effective management in estuarine environments. This study proposes a novel and transferable source tracking framework that integrates Fourier transform infrared (FTIR) and fluorescence spectroscopy with a principal component analysis-absolute principal component score-multiple linear regression (PCA-APCS-MLR) receptor model to apportion OM sources in surface sediments across four South Korean estuaries with contrasting land use. Five new infrared-based indices (IRIs), developed from diagnostic FTIR absorbance features of water-extractable organic matter (WEOM), were designed to capture source-specific functional group compositions linked to terrestrial, synthetic, and petroleum-derived OM.
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