Accès ouvert
2025
article
OpenAlex
Waqas Akhtar, Christopher T. Bowles, Pierluigi Costanzo, Charles D. Deakin et autres
The use of left-sided Impella microaxial flow pumps has expanded rapidly for the management of cardiogenic shock, left ventricular unloading and as a bridge to heart transplantation. However, standard life support and resuscitation algorithms are not directly applicable to patients receiving this …
gb
(code pays fourni par la source)
Accès ouvert
2025
article
OpenAlex
Waqas Akhtar, Alex Rosenberg, Christopher T. Bowles
gb
(code pays fourni par la source)
2025
article
OpenAlex
Leticia Blazquez-Arroyo, Guglielmo Gallone, Luca Baldetti, Mario Gramegna et autres
gb, it, be, de, us, fr
(code pays fourni par la source)
Accès ouvert
2025
article
OpenAlex
Sophie Allen, Charlie F Rowlands, Samantha Butler, Miranda Durkie et autres
PURPOSE: Hereditary leiomyomatosis and renal cell cancer (HLRCC) is a rare cancer susceptibility syndrome exclusively attributable to pathogenic variants in FH (HGNC:3700). This article quantitatively weights the phenotypic context (PP4/PS4) of such very rare variants in FH. METHODS: likelihood ratios (LLRs) as …
gb, us, ie
(code pays fourni par la source)
2024
article
OpenAlex
Ewa Świerżyńska-Wodarska, Christopher T. Bowles, Binu Raj, Maria Monteagudo Vela et autres
pl, gb
(code pays fourni par la source)
Accès ouvert
2023
article
OpenAlex
Sophie Allen, Lucy Loong, Alice Garrett, Bethany Torr et autres
BACKGROUND: National and international amalgamation of genomic data offers opportunity for research and audit, including analyses enabling improved classification of variants of uncertain significance. Review of individual-level data from National Health Service (NHS) testing of cancer susceptibility genes (2002-2023) submitted to the …
gb, ru, us, ie, it
(code pays fourni par la source)
Accès ouvert
2023
dataset
OpenAlex
Sue Allen, Lucy Loong, Amy Garrett, Bethany Torr et autres
Full responses from the 2023 UK CSG Diagnostic Laboratory Survey component focused on centralised data submission to PHE/NHSD and LIMS system organisation. To preserve anonymity, free-text comments are not provided.
gb, ie
(code pays fourni par la source)
Accès ouvert
2023
dataset
OpenAlex
Sue Allen, Lucy Loong, Amy Garrett, Bethany Torr et autres
Full responses from the 2023 UK CSG Diagnostic Laboratory Survey component focused on centralised data submission to PHE/NHSD and LIMS system organisation. To preserve anonymity, free-text comments are not provided.
gb, ie
(code pays fourni par la source)
Accès ouvert
2021
article
OpenAlex
Lucy Loong, Cankut Çubuk, Subin Choi, Sophie Allen et autres
PURPOSE: Conditions and thresholds applied for evidence weighting of within-codon concordance (PM5) for pathogenicity vary widely between laboratories and expert groups. Because of the sparseness of available clinical classifications, there is little evidence for variation in practice. METHODS: We used as a …
gb
(code pays fourni par la source)
Accès ouvert
2021
article
OpenAlex
Sophie Therese Williams, Prodromos Chatzikyriakou, Paul Carroll, Barbara M. McGowan et autres
OBJECTIVE: Phaeochromocytomas and paragangliomas (PPGL) are rare, but strongly heritable tumours. Variants in succinate dehydrogenase (SDH) subunits are identified in approximately 25% of cases. However, clinical and genetic information of patients with SDHC variants are underreported. DESIGN: This retrospective case series collated …
gb
(code pays fourni par la source)
Accès ouvert
2020
article
OpenAlex
Jonathan Mark Fussey, Joel Anthony Smith, Ruth Cleaver, Christopher T. Bowles et autres
OBJECTIVE: Diagnostic germline RET analysis is offered to all patients with a diagnosis of medullary thyroid carcinoma (MTC), or other conditions associated with multiple endocrine neoplasia type 2 (MEN2) in the United Kingdom. Here, we report the experience of a single centre's …
gb
(code pays fourni par la source)
Accès ouvert
2019
preprint
OpenAlex
Rahman Attar, Marco Pereañez, Christopher Bowles, Stefan K. Piechnik et autres
Large prospective epidemiological studies acquire cardiovascular magnetic\nresonance (CMR) images for pre-symptomatic populations and follow these over\ntime. To support this approach, fully automatic large-scale 3D analysis is\nessential. In this work, we propose a novel deep neural network using both CMR\nimages and patient metadata …