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This study aimed to evaluate inter-laboratory classification concordance for copy number variants (CNVs) with a semiquantitative point-based scoring metric recommended by the American College of Medical Genetics and Genomics (ACMG) and Clinical Genome Resources (ClinGen). A total of 234 CNVs distributed by the National Center of Clinical Laboratories (NCCLs), and 72 CNVs submitted by different laboratories, were distributed to nine clinical laboratories performing routine clinical CNV testing in China and independently classified across laboratories. The overall inter-laboratory complete classification concordance rate of the 234 distributed CNVs increased from 18% (41/234) to 76% (177/234) using the scoring metric compared to the laboratory's previous method. The overall inter-laboratory complete classification concordance rate of the 72 submitted CNVs was 65% (47/72) using the scoring metrics. The 82 variants that initially did not reach complete concordance classification and 1 additional CNV deletion were reviewed; 34 reached complete agreement, and the overall post-review complete concordance rate was 85% (260/306). Additionally, the overall percentage of classification discordance possibly impacting medical management [i.e., pathogenic (P) or likely pathogenic (LP) vs. variant of uncertain significance (VUS)] was 11% (35/306). The causes of initial and final discordance in the classification were identified. The ACMG-ClinGen framework has promoted consistency in interpreting the clinical significance of CNVs. Continuous training among laboratories, further criteria and additional clarification of the standards, sharing classifications and supporting evidence through public database, and ongoing work for dosage sensitive genes/regions curation will be beneficial for harmonization of CNVs classification.
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http://dx.doi.org/10.3389/fgene.2022.829728 | DOI Listing |
J Clin Endocrinol Metab
September 2025
AURA (Association pour l'Utilisation du Rein Artificiel dans la région parisienne), F-75014 Paris, France.
Purpose: Obesity is an independent risk factor for chronic kidney disease, and accurate estimation of the glomerular filtration rate (GFR) is crucial. However, limited data are available on the performance of the European Kidney Function Consortium (EKFC) equation in individuals with overweight or obesity. We evaluated the performance of the EKFC equation by comparing its estimated GFR (eGFR) to values obtained from the 2021 Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation and machine learning (ML) models, using measured GFR (mGFR, obtained via plasma iohexol clearance) as a reference standard in a cohort of patients with overweight or obesity.
View Article and Find Full Text PDFClin Pharmacol Ther
September 2025
Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark.
This study aimed to assess the ability of two off-the-shelf large language models, ChatGPT and Gemini, to support the design of pharmacoepidemiological studies. We assessed 48 study protocols of pharmacoepidemiological studies published between 2018 and 2024, covering various study types, including disease epidemiology, drug utilization, safety, and effectiveness. The coherence (i.
View Article and Find Full Text PDFMicrob Genom
September 2025
Regional Innovative Public Health Laboratory, Rush University Medical Center, Chicago, IL 60612, USA.
emerged in Chicago, IL, USA, in 2016 and has since become endemic. We used whole-genome sequencing (WGS) of 494 isolates, epidemiologic metadata and patient transfer data to describe the transmission of among Chicago healthcare facilities between 2016 and 2021. In total, 99% of isolates formed a single clade IV phylogenetic lineage, suggesting a single introduction.
View Article and Find Full Text PDFAm J Hum Genet
September 2025
Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK; The Royal Marsden NHS Foundation Trust, Fulham Road, London, UK. Electronic address:
Multiplex assays of variant effect (MAVEs) provide promising new sources of functional evidence, potentially empowering improved classification of germline genomic variants, particularly rare missense variants, which are commonly assigned as variants of uncertain significance (VUSs). However, paradoxically, quantification of clinically applicable evidence strengths for MAVEs requires construction of "truthsets" comprising missense variants already robustly classified as pathogenic and benign. In this study, we demonstrate how benign truthset size is the primary driver of applicable functional evidence toward pathogenicity (PS3).
View Article and Find Full Text PDFAPMIS
September 2025
The Regional Department of Clinical Microbiology, Zealand University Hospital-Koege, Køge, Denmark.
Sequencing of the 16S ribosomal RNA (rRNA) gene is an important tool in addition to conventional methods for the identification of bacterial pathogens in human infections. In polymicrobial samples, Sanger sequencing can produce uninterpretable chromatograms. This limitation can be overcome by Next Generation Sequencing (NGS) of the 16S rRNA gene.
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