Clinical laboratory implementation of next-generation sequencing (NGS)-based constitutional genetic testing has been rapid and widespread. In the absence of widely adopted comprehensive guidance, there remains substantial variability among laboratories in the practice of NGS. One issue of sustained discussion in the field is whether and to what extent orthogonal confirmation of genetic variants identified by NGS is necessary or helpful. The Association for Molecular Pathology Clinical Practice Committee convened the NGS Germline Variant Confirmation Working Group to assess current evidence regarding orthogonal confirmation and to establish recommendations for standardizing orthogonal confirmation practices to support quality patient care. On the basis of the results of a survey of the literature, a survey of laboratory practices, and subject expert matter consensus, eight recommendations are presented, providing a common framework for clinical laboratory professionals to develop or refine individualized laboratory policies and procedures regarding orthogonal confirmation of germline variants detected by NGS.
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http://dx.doi.org/10.1016/j.jmoldx.2023.03.012 | DOI Listing |
Food Nutr Res
January 2025
Department of Gynaecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Background: Maternal nutrition profoundly influences offspring health, impacting both prenatal and early postnatal development. Previous studies have demonstrated that maternal dietary habits can affect key developmental pathways in the offsprings, including those related to lung function and disease susceptibility. However, the sex-specific impact of a maternal high-salt diet (HSD) on offspring lung injury remains poorly understood.
View Article and Find Full Text PDFJ Exp Psychol Hum Percept Perform
January 2025
Faculty of Science & Technology, Department of Psychology, Bournemouth University.
Computational models of eye movement control during reading have revolutionized the study of visual, perceptual, and linguistic processes underlying reading. However, these models can only simulate and test predictions about the reading of single lines of text. Here we report two studies that examined how input variables for lexical processing (frequency and predictability) in these models influence the processing of line-final words.
View Article and Find Full Text PDFJ Sep Sci
January 2025
Department of Pharmaceutical Analysis, School of Pharmacy, Hebei Medical University, Shijiazhuang, China.
A novel dual-wavelength ultrahigh performance liquid chromatography (UHPLC) fingerprint was established, 56 common peaks were confirmed and attributed to the source of the medicinal materials, and 13 chromatographic peaks of them were identified by UHPLC quadrupole time-of-flight (Q-TOF)-MS/MS and UHPLC-UV method. Furthermore, a simple and sensitive HPLC-quadrupole trap (Q-TRAP)-MS/MS was developed for the simultaneous determination of 16 active components with electrospray ionization (ESI) source switching between positive and negative modes in a single run. The above two methods were successfully applied for the quality evaluation of Guanxinjing capsule (GXJC).
View Article and Find Full Text PDFMicromachines (Basel)
November 2024
Key Laboratory of Rapid Development & Manufacturing Technology for Aircraft, Shenyang Aerospace University, Ministry of Education, Shenyang 110136, China.
In Ti-6Al-4V titanium alloy micro-machining, since the uncut chip thickness (UCT) is comparable to the radius of the tool cutting edge, there exists a minimum uncut chip thickness (MUCT), and when the UCT is smaller than the MUCT, the plowing effect dominates the cutting process, which seriously affects the machined surface quality and tool life. Therefore, the reliable prediction of the MUCT is of great significance. This paper used Deform to establish an orthogonal cutting simulation model, studied the effect of the dead metal zone (DMZ) on the micro-cutting material flow, determined the DMZ range, and proposed a new method for determining the MUCT based on the DMZ.
View Article and Find Full Text PDFNat Commun
January 2025
Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Large-scale combination drug screens are generally considered intractable due to the immense number of possible combinations. Existing approaches use ad hoc fixed experimental designs then train machine learning models to impute unobserved combinations. Here we propose BATCHIE, an orthogonal approach that conducts experiments dynamically in batches.
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