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This study aimed to implement whole-genome sequencing using an automated pipeline for critically ill pediatric patients within a real-world health care system. Twenty patients under 36 months of age, admitted to the neonatal or pediatric intensive care unit or suspected of having rapidly progressive genetic disorders, were enrolled. Trio-based whole-genome sequencing was performed using an optimized processing pipeline, which automatically performed mapping, variant calling, annotation, and in silico pathogenicity assessment. Among 20 enrolled patients, 11 (55%) were from the neonatal intensive care unit, and 16 (80%) presented with neurologic manifestations as their chief complaint. The median time from symptom onset to study enrollment was 73 days for 18 patients referred from other hospitals and less than a week for 2 in-hospital patients. The median turnaround time for whole-genome sequencing was 10 days, with the shortest being 5 days. A definite or presumed genetic diagnosis was made in 11 patients (55%), including 10 of 16 with neurologic symptoms (62.5%) and 1 of 4 with nonneurologic symptoms (25%). Management plans were modified for 8 of the 11 patients (72.7%), including medication changes, diet modifications, and preimplantation genetic testing for future pregnancies. This study highlights the feasibility and clinical utility of whole-genome sequencing in critically ill pediatric patients in Korea, demonstrating a high diagnostic yield and significant impact on patient management, particularly among those presenting with neurologic symptoms. Establishing a nationwide fast-track system and providing detailed testing indications are required for effective implementation. Further automation and resource optimization could reduce the turnaround time and improve the efficacy of whole-genome sequencing in critical care settings.
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http://dx.doi.org/10.1177/08830738251344996 | DOI Listing |
Stress Biol
September 2025
Shaanxi Key Laboratory of Molecular Biology for Agriculture, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China.
Understanding the genetic mechanism of cold adaptation in cashmere goats and dairy goats is very important to improve their production performance. The purpose of this study was to comprehensively analyze the genetic basis of goat adaptation to cold environments, clarify the impact of environmental factors on genome diversity, and lay the foundation for breeding goat breeds to adapt to climate change. A total of 240 dairy goats were subjected to genome resequencing, and the whole genome sequencing data of 57 individuals from 6 published breeds were incorporated.
View Article and Find Full Text PDFCrit Rev Microbiol
September 2025
Austrian Competence Centre for Food and Feed Quality, Safety and Innovation, FFoQSI GmbH, Tulln, Austria.
Foodborne illness is a critical food safety and public health concern, often resulting from contamination events by resident pathogens in food processing environments (FPEs). , the causative agent of listeriosis, can persist in FPEs over long time periods. Despite rigorous research on the phenotypic and genotypic traits of , no clear pattern has arisen to explain why some strains are able to persist.
View Article and Find Full Text PDFMicrobiologyopen
October 2025
Department of Agronomy, National Taiwan University, Taipei, Taiwan.
Currently, there is an increasing use of whole-genome sequencing (WGS) studies to investigate the molecular taxonomy, metabolic properties, enzyme capabilities, and bioactive substances of lactic acid bacteria (LAB) species. In this study, the genome of strain Pediococcus pentosaceus BBS1 was sequenced using the Illumina HiSeq. 2500 platform to determine its classification, annotate its main features, and evaluate its safety characteristics.
View Article and Find Full Text PDFMol Genet Genomic Med
September 2025
Research Centre for Medical Genetics, Moscow, Russia.
Background: Developmental and epileptic encephalopathies (DEEs) comprise a diverse range of disorders that can arise from both genetic and non-genetic causes. Genetic DEEs are linked to pathogenic variants in various genes with different molecular functions. The wide clinical and genetic variability found in DEEs poses a considerable challenge for accurate diagnosis even with the use of comprehensive diagnostic approaches such as whole genome sequencing (WGS).
View Article and Find Full Text PDFPlant Biotechnol J
September 2025
Huck Institutes of the Life Sciences, Penn State University, University Park, Pennsylvania, USA.
Black pod disease, caused by a complex of Phytophthora species, poses a severe threat to global cacao production. This study explores the use of CRISPR-Cas9 genome editing to reduce disease susceptibility in Theobroma cacao L. by targeting the TcNPR3 gene, a known negative regulator of plant defence.
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