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Background: The clinical validity of whole-genome sequencing (WGS) in postnatal settings is well documented, but studies of its use in prenatal settings are limited.
Objectives: The objective of this study was to prospectively evaluate the performance of whole-genome sequencing (WGS) for prenatal diagnosis of fetal structural anomalies compared with the commonly used testing strategy of copy-number variant sequencing (CNV-seq) plus exome sequencing (ES).
Study Design: WGS was performed in parallel with CNV-seq and ES for 96 parent-fetus trios with fetal structural anomalies. Single-nucleotide variants, small insertions/deletions, copy-number variations, structural variants, and absence of heterozygosity were classified according to American College of Medical Genetics and Genomics, Association for Molecular Pathology, and ClinGen guidelines.
Results: Diagnostic variants were found by CNV-seq for 5/96 (5.2%) fetuses and by trio-ES for 26/96 (27.1%) fetuses. The combined diagnostic rate for CNV-seq plus trio-ES was 30/96 (31.2%). Trio-WGS identified all diagnostic variants detected by CNV-seq and trio-ES plus three additional fetuses (one with maternal UPD15, one with a complex chromosomal rearrangement and one with compound heterozygous SNVs in NADSYN1), increasing the diagnostic rate to 33/96 (34.4%). The highest diagnostic rate was observed in fetuses with craniofacial abnormalities (2/3, 66.7%), followed by those with hydrops (3/6, 50.0%). Ten families (10.5%, 10/96) were detected with incidental findings, of which, structural variants in seven fetuses were detected only by trio-WGS, including six inversions and one UPD16.
Conclusions: Trio-based WGS offers a valid alternative to CNV-seq plus ES, demonstrating the capacity for more comprehensive genomic analysis for fetuses with structural anomalies while permitting consolidation of laboratory workflows into a single test.
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http://dx.doi.org/10.1016/j.ajog.2025.08.025 | DOI Listing |
Nan Fang Yi Ke Da Xue Xue Bao
August 2025
College of Information Engineering, Sichuan Agricultural University, Ya'an 625014, China.
Objectives: We propose a YOLOv11-TDSP model for improving the accuracy of dental abnormality detection on panoramic oral X-ray images.
Methods: The SHSA single-head attention mechanism was integrated with C2PSA in the backbone layer to construct a new C2PSA_SHSA attention mechanism. The computational redundancy was reduced by applying single-head attention to some input channels to enhance the efficiency and detection accuracy of the model.
J Cosmet Dermatol
September 2025
School of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing, People's Republic of China.
Background: In recent years, the problem of female alopecia has been increasing and has shown a trend toward youthfulness. However, there are fewer studies on young female alopecia in the existing literature.
Aim: We aimed to study the possible causes of hair loss in young Chinese females aged 18-35 with oily scalps.
Neurochirurgie
September 2025
Division of Paediatrics, Department of Neurosurgery, Faculty of Medicine Universitas Indonesia, Cipto Mangunkusumo General Hospital, Jakarta, Indonesia.
Introduction: Craniopagus is one of the rarest congenital abnormalities. Separation of craniopagus twin is associated with high morbidity and mortality, especially in total type, where the twin had shared dural venous sinuses. One of the complications after separation surgery is hydrocephalus.
View Article and Find Full Text PDFNeuropsychologia
September 2025
Icelandic Vision Lab, Department of Psychology, University of Iceland, Saemundargata 2, 102, Reykjavik, Iceland.
Developmental dyslexia is a disorder marked by difficulties in reading, spelling, and connecting sounds to written language. The high-level visual dysfunction hypothesis suggests these difficulties may partially arise from abnormalities in high-level visual cognition such as the ability to integrate visual input for higher-order cognitive functions such as reading. Here we examined adult (mean age = 35) dyslexic readers' neural functioning as they recognized identities of nonlinguistic visual objects, specifically houses and faces.
View Article and Find Full Text PDFComput Methods Programs Biomed
September 2025
Eindhoven University of Technology, Department of Biomedical Engineering, Medical Image Analysis Group, Eindhoven, The Netherlands. Electronic address:
Background And Objective: Out-of-distribution (OOD) detection is crucial for safely deploying automated medical image analysis systems, as abnormal patterns in images could hamper their performance. However, OOD detection in medical imaging remains an open challenge. In this study, we aim to optimize a reconstruction-based autoencoder specifically for OOD detection.
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