In only around 40% of families with pulmonary fibrosis (PF) a suspected genetic cause can be found. Genetic overlap analysis of Whole Exome Sequencing (WES) data may be a powerful tool to discover new shared variants in novel genes for PF. As a proof of principle, we first selected unrelated PF patients for whom a genetic variant was detected (n = 125) in established PF genes and searched for overlapping variants. Second, we performed WES (n = 149) and identified novel potentially deleterious variants shared by at least two unrelated PF patients. These variants were genotyped in validation cohorts (n = 2748). In 125 unrelated patients, a potentially deleterious variant was detected in known PF genes of which 15 variants in six genes overlapped, involving 51 patients. Overlap analysis of WES data identified two novel variants of interest: c.421T > C p.(Y141H) and c.1373dupG p.(S459fs*5), neither gene had been related to pulmonary fibrosis before. Both proteins were present in the alveolar epithelium. No apparent characteristics of telomere disease were observed. This study underlines the potential of searching for overlapping rare potentially deleterious variants to identify disease-associated variants and genes. A previously unreported variant was found in two putative new PF genes, but further research is needed to determine causality.
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http://dx.doi.org/10.3390/ijms24032790 | DOI Listing |
J Chem Phys
January 2025
Department of Applied Physics, Aalto University, P.O. Box 11000, FI-00076 Aalto, Finland.
Active learning (AL) has shown promise to be a particularly data-efficient machine learning approach. Yet, its performance depends on the application, and it is not clear when AL practitioners can expect computational savings. Here, we carry out a systematic AL performance assessment for three diverse molecular datasets and two common scientific tasks: compiling compact, informative datasets and targeted molecular searches.
View Article and Find Full Text PDFLaryngoscope
January 2025
Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Objectives: To evaluate the impact of delayed postoperative radiotherapy (PORT) on overall survival (OS) in patients with head and neck cancers (HNC).
Data Sources: A systematic review and meta-analysis were conducted by searching MEDLINE, Embase, CENTRAL, Web of Science, and CINAHL databases.
Review Methods: Studies assessing the impact of delayed PORT in adult HNC patients were included.
Imaging Sci Dent
December 2024
Department of Oral Diagnosis, Division of Oral Radiology, Piracicaba Dental School, University of Campinas, Piracicaba, SP, Brazil.
Purpose: This study was performed to evaluate the expression of beam hardening artifacts generated by high atomic number materials in stitched cone-beam computed tomography (CBCT) images, compared to the traditional acquisition mode.
Materials And Methods: CBCT volumes were acquired using an acrylic resin phantom embedded with pairs of cylinders made from amalgam dental alloy, cobalt-chromium alloy, gutta-percha, titanium, and zirconium. These cylinders were placed within the overlapping zones of the stitching reconstruction area.
Arch Pathol Lab Med
January 2025
From the Department of Pathology, University of Michigan, Ann Arbor.
Context.—: Plexiform fibromyxomas are uncommon gastrointestinal neoplasms that have histologic and molecular features that overlap with other gastrointestinal mesenchymal tumors and present a diagnostic challenge for surgical pathologists.
Objective.
ACS Appl Bio Mater
January 2025
Department of Materials Science and Engineering, Yonsei University, 50 Yonsei-Ro, Seodaemun-Gu, Seoul 03722, South Korea.
For the medical diagnosis of sepsis, it is crucial to differentiate infectious inflammation from noninfectious symptoms to prevent acute aggravation. Herein, a diagnosis for early stage sepsis was performed using LPC 16:0 and total phospholipids as small molecular biomarkers. The measurement of LPC 16:0 was conducted using a parylene matrix chip, which was developed to effectively detect small molecules in laser desorption/ionization mass spectrometry (LDI-MS).
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