Publications by authors named "D W MacArthur"

Objectives: To explore the impact of the SARS-CoV-2/COVID-19 pandemic on the diagnosis, management and patient journey for children and young people with a newly diagnosed brain tumour in the UK.

Design: Exploratory qualitative study focused on patient journeys from multiple perspectives, conducted as part of a wider mixed-methods study.

Setting: Three paediatric oncology tertiary centres in the UK.

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encodes a human long noncoding RNA (lncRNA) adjacent to , a coding gene in which de novo loss-of-function variants cause developmental and epileptic encephalopathy. Here, we report our findings in three unrelated children with a syndromic, early-onset neurodevelopmental disorder, each of whom had a de novo deletion in the locus. The children had severe encephalopathy, shared facial dysmorphisms, cortical atrophy, and cerebral hypomyelination - a phenotype that is distinct from the phenotypes of patients with haploinsufficiency.

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Article Synopsis
  • Diffusion-weighted imaging (DWI) is a method used in brain tumor surgeries with intraoperative MRI, but traditional techniques like echo planar imaging (EPI-DWI) can suffer from image distortions and artifacts.
  • This study compares EPI-DWI and a less distorted technique known as turbo spin echo DWI (TSE-DWI) to see which one radiologists prefer during surgery.
  • Results indicate that TSE-DWI performs equally or better than EPI-DWI in terms of image quality, particularly in reducing distortions and artifacts, making it a better option for intraoperative imaging.
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Unsolved Mendelian cases often lack obvious pathogenic coding variants, suggesting potential non-coding etiologies. Here, we present a single cell multi-omic framework integrating embryonic mouse chromatin accessibility, histone modification, and gene expression assays to discover cranial motor neuron (cMN) cis-regulatory elements and subsequently nominate candidate non-coding variants in the congenital cranial dysinnervation disorders (CCDDs), a set of Mendelian disorders altering cMN development. We generate single cell epigenomic profiles for ~86,000 cMNs and related cell types, identifying ~250,000 accessible regulatory elements with cognate gene predictions for ~145,000 putative enhancers.

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Penetrance is the probability that an individual with a pathogenic genetic variant develops a specific disease. Knowing the penetrance of variants for monogenic disorders is important for counseling of individuals. Until recently, estimates of penetrance have largely relied on affected individuals and their at-risk family members being clinically referred for genetic testing, a 'phenotype-first' approach.

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