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3. Structural and non-coding variants increase the diagnostic yield of clinical whole genome sequencing for rare diseases

Author

Pagnamenta, Alistair T., Camps, Carme, Giacopuzzi, Edoardo, Taylor, John M., Hashim, Mona, Calpena, Eduardo, Kaisaki, Pamela J., Hashimoto, Akiko, Yu, Jing, Sanders, Edward, Schwessinger, Ron, Hughes, Jim R., Lunter, Gerton, Dreau, Helene, Ferla, Matteo, Lange, Lukas, Kesim, Yesim, Ragoussis, Vassilis, Vavoulis, Dimitrios V., Allroggen, Holger, Ansorge, Olaf, Babbs, Christian, Banka, Siddharth, Baños-Piñero, Benito, Beeson, David, Ben-Ami, Tal, Bennett, David L., Bento, Celeste, Blair, Edward, Brasch-Andersen, Charlotte, Bull, Katherine R., Cario, Holger, Cilliers, Deirdre, Conti, Valerio, Davies, E. Graham, Dhalla, Fatima, Dacal, Beatriz Diez, Dong, Yin, Dunford, James E., Guerrini, Renzo, Harris, Adrian L., Hartley, Jane, Hollander, Georg, Javaid, Kassim, Kane, Maureen, Kelly, Deirdre, Kelly, Dominic, Knight, Samantha J. L., Kreins, Alexandra Y., Kvikstad, Erika M., Langman, Craig B., Lester, Tracy, Lines, Kate E., Lord, Simon R., Lu, Xin, Mansour, Sahar, Manzur, Adnan, Maroofian, Reza, Marsden, Brian, Mason, Joanne, McGowan, Simon J., Mei, Davide, Mlcochova, Hana, Murakami, Yoshiko, Németh, Andrea H., Okoli, Steven, Ormondroyd, Elizabeth, Ousager, Lilian Bomme, Palace, Jacqueline, Patel, Smita Y., Pentony, Melissa M., Pugh, Chris, Rad, Aboulfazl, Ramesh, Archana, Riva, Simone G., Roberts, Irene, Roy, Noémi, Salminen, Outi, Schilling, Kyleen D., Scott, Caroline, Sen, Arjune, Smith, Conrad, Stevenson, Mark, Thakker, Rajesh V., Twigg, Stephen R. F., Uhlig, Holm H., van Wijk, Richard, Vona, Barbara, Wall, Steven, Wang, Jing, Watkins, Hugh, Zak, Jaroslav, Schuh, Anna H., Kini, Usha, Wilkie, Andrew O. M., Popitsch, Niko, and Taylor, Jenny C.

Published
2023
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5. Dimensional reduction based on peak fitting of Raman micro spectroscopy data improves detection of prostate cancer in tissue specimens

Author

Plante, Arthur, Dallaire, Frédérick, Grosset, Andrée-Anne, Nguyen, Tien, Birlea, Mirela, Wong, Jahg, Daoust, François, Roy, Noémi, Kougioumoutzakis, André, Azzi, Feryel, Aubertin, Kelly, Kadoury, Samuel, Latour, Mathieu, Albadine, Roula, Prendeville, Susan, Boutros, Paul, Fraser, Michael, Bristow, Rob G, van der Kwast, Theodorus, Orain, Michèle, Brisson, Hervé, Benzerdjeb, Nazim, Hovington, Hélène, Bergeron, Alain, Fradet, Yves, Têtu, Bernard, Saad, Fred, Trudel, Dominique, and Leblond, Frédéric

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Cancer, Urologic Diseases, Prostate Cancer, Area Under Curve, Carcinoma, Intraductal, Noninfiltrating, Humans, Machine Learning, Male, Prostatic Neoplasms, Spectrum Analysis, Raman, machine learning, Raman micro-spectroscopy, prostate cancer, feature selection, feature reduction, Optical Physics, Biomedical Engineering, Opthalmology and Optometry, Optics, Ophthalmology and optometry, Biomedical engineering, Atomic, molecular and optical physics
Abstract

Prostate cancer is the most common cancer among men. An accurate diagnosis of its severity at detection plays a major role in improving their survival. Recently, machine learning models using biomarkers identified from Raman micro-spectroscopy discriminated intraductal carcinoma of the prostate (IDC-P) from cancer tissue with a ≥85  %   detection accuracy and differentiated high-grade prostatic intraepithelial neoplasia (HGPIN) from IDC-P with a ≥97.8  %   accuracy. To improve the classification performance of machine learning models identifying different types of prostate cancer tissue using a new dimensional reduction technique. A radial basis function (RBF) kernel support vector machine (SVM) model was trained on Raman spectra of prostate tissue from a 272-patient cohort (Centre hospitalier de l'Université de Montréal, CHUM) and tested on two independent cohorts of 76 patients [University Health Network (UHN)] and 135 patients (Centre hospitalier universitaire de Québec-Université Laval, CHUQc-UL). Two types of engineered features were used. Individual intensity features, i.e., Raman signal intensity measured at particular wavelengths and novel Raman spectra fitted peak features consisting of peak heights and widths. Combining engineered features improved classification performance for the three aforementioned classification tasks. The improvements for IDC-P/cancer classification for the UHN and CHUQc-UL testing sets in accuracy, sensitivity, specificity, and area under the curve (AUC) are (numbers in parenthesis are associated with the CHUQc-UL testing set): +4  %   (+8  %  ), +7  %   (+9  %  ), +2  %   (6%), +9 (+9) with respect to the current best models. Discrimination between HGPIN and IDC-P was also improved in both testing cohorts: +2.2  %   (+1.7  %  ), +4.5  %   (+3.6  %  ), +0  %   (+0  %  ), +2.3 (+0). While no global improvements were obtained for the normal versus cancer classification task [+0  %   (-2  %  ), +0  %   (-3  %  ), +2  %   (-2  %  ), +4 (+3)], the AUC was improved in both testing sets. Combining individual intensity features and novel Raman fitted peak features, improved the classification performance on two independent and multicenter testing sets in comparison to using only individual intensity features.

Published
2021

6. RNA polymerase II pausing temporally coordinates cell cycle progression and erythroid differentiation

Author

Martell, Danya J., Merens, Hope E., Caulier, Alexis, Fiorini, Claudia, Ulirsch, Jacob C., Ietswaart, Robert, Choquet, Karine, Graziadei, Giovanna, Brancaleoni, Valentina, Cappellini, Maria Domenica, Scott, Caroline, Roberts, Nigel, Proven, Melanie, Roy, Noémi B.A., Babbs, Christian, Higgs, Douglas R., Sankaran, Vijay G., and Churchman, L. Stirling

Published
2023
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8. Identification of intraductal carcinoma of the prostate on tissue specimens using Raman micro-spectroscopy: A diagnostic accuracy case-control study with multicohort validation.

Author

Grosset, Andrée-Anne, Dallaire, Frédérick, Nguyen, Tien, Birlea, Mirela, Wong, Jahg, Daoust, François, Roy, Noémi, Kougioumoutzakis, André, Azzi, Feryel, Aubertin, Kelly, Kadoury, Samuel, Latour, Mathieu, Albadine, Roula, Prendeville, Susan, Boutros, Paul, Fraser, Michael, Bristow, Rob G, van der Kwast, Theodorus, Orain, Michèle, Brisson, Hervé, Benzerdjeb, Nazim, Hovington, Hélène, Bergeron, Alain, Fradet, Yves, Têtu, Bernard, Saad, Fred, Leblond, Frédéric, and Trudel, Dominique

Subjects
Humans, Carcinoma, Intraductal, Noninfiltrating, Prostatic Neoplasms, Case-Control Studies, Retrospective Studies, Cohort Studies, Reproducibility of Results, Aged, Middle Aged, Canada, Male, Machine Learning, Nonlinear Optical Microscopy, Cancer, Urologic Diseases, Prostate Cancer, General & Internal Medicine, Medical and Health Sciences
Abstract

BACKGROUND:Prostate cancer (PC) is the most frequently diagnosed cancer in North American men. Pathologists are in critical need of accurate biomarkers to characterize PC, particularly to confirm the presence of intraductal carcinoma of the prostate (IDC-P), an aggressive histopathological variant for which therapeutic options are now available. Our aim was to identify IDC-P with Raman micro-spectroscopy (RμS) and machine learning technology following a protocol suitable for routine clinical histopathology laboratories. METHODS AND FINDINGS:We used RμS to differentiate IDC-P from PC, as well as PC and IDC-P from benign tissue on formalin-fixed paraffin-embedded first-line radical prostatectomy specimens (embedded in tissue microarrays [TMAs]) from 483 patients treated in 3 Canadian institutions between 1993 and 2013. The main measures were the presence or absence of IDC-P and of PC, regardless of the clinical outcomes. The median age at radical prostatectomy was 62 years. Most of the specimens from the first cohort (Centre hospitalier de l'Université de Montréal) were of Gleason score 3 + 3 = 6 (51%) while most of the specimens from the 2 other cohorts (University Health Network and Centre hospitalier universitaire de Québec-Université Laval) were of Gleason score 3 + 4 = 7 (51% and 52%, respectively). Most of the 483 patients were pT2 stage (44%-69%), and pT3a (22%-49%) was more frequent than pT3b (9%-12%). To investigate the prostate tissue of each patient, 2 consecutive sections of each TMA block were cut. The first section was transferred onto a glass slide to perform immunohistochemistry with H&E counterstaining for cell identification. The second section was placed on an aluminum slide, dewaxed, and then used to acquire an average of 7 Raman spectra per specimen (between 4 and 24 Raman spectra, 4 acquisitions/TMA core). Raman spectra of each cell type were then analyzed to retrieve tissue-specific molecular information and to generate classification models using machine learning technology. Models were trained and cross-validated using data from 1 institution. Accuracy, sensitivity, and specificity were 87% ± 5%, 86% ± 6%, and 89% ± 8%, respectively, to differentiate PC from benign tissue, and 95% ± 2%, 96% ± 4%, and 94% ± 2%, respectively, to differentiate IDC-P from PC. The trained models were then tested on Raman spectra from 2 independent institutions, reaching accuracies, sensitivities, and specificities of 84% and 86%, 84% and 87%, and 81% and 82%, respectively, to diagnose PC, and of 85% and 91%, 85% and 88%, and 86% and 93%, respectively, for the identification of IDC-P. IDC-P could further be differentiated from high-grade prostatic intraepithelial neoplasia (HGPIN), a pre-malignant intraductal proliferation that can be mistaken as IDC-P, with accuracies, sensitivities, and specificities > 95% in both training and testing cohorts. As we used stringent criteria to diagnose IDC-P, the main limitation of our study is the exclusion of borderline, difficult-to-classify lesions from our datasets. CONCLUSIONS:In this study, we developed classification models for the analysis of RμS data to differentiate IDC-P, PC, and benign tissue, including HGPIN. RμS could be a next-generation histopathological technique used to reinforce the identification of high-risk PC patients and lead to more precise diagnosis of IDC-P.

Published
2020

11. Overarching Priorities for Health and Care Research in the United Kingdom: A Coproduced Synthesis of James Lind Alliance 'Top 10s'.

Author

Crocker, Joanna C., Moore, Lucy, Ogden, Margaret, Crowe, Sally, Khan, Maaz, Schoemaker, Casper, Roy, Noémi B. A., Taylor, Mark, Gronlund, Toto, Bueser, Teofila, Tatum, Madeline, Davies, Benjamin, and Finlay, Teresa

Subjects
RESEARCH funding, RESEARCH evaluation, MEDICAL care, THEMATIC analysis, CAREGIVERS, MEDICAL research, PRIORITY (Philosophy), QUALITY of life, MEDICAL screening, STAKEHOLDER analysis
Abstract

Introduction: James Lind Alliance (JLA) Priority Setting Partnerships (PSPs) produce 'Top 10' lists of health and care research priorities through a structured, shared decision‐making process with patients or service users, carers and health or care professionals who identify questions that are most important to them. To date, over 150 PSPs in different areas of health and care have published research priorities. Some PSPs share similar priorities, which could be combined, promoted and addressed through collaborative research to increase value and reduce research waste. Aim: The aim of this study was to identify overarching themes common to JLA PSP priorities across different areas of health and care. Methods: Our analysis included 'Top 10' research priorities produced by UK‐based JLA PSPs between 2016 and 2020. The priorities were coded deductively by the Health Research Classification System (HRCS) health category and research activity. We then carried out online workshops with patients, service users and carers to generate new codes not already captured by this framework. Within each code, multistakeholder inductive thematic analysis was used to identify overarching themes, defined as encompassing priorities from three or more PSPs covering two or more health categories. We used codesign methods to produce an interactive tool for end users to navigate the overarching themes. Results: Five hundred and fifteen research priorities from 51 PSPs were included in our analysis. The priorities together encompassed 20 of 21 HRCS health categories, the most common being 'generic health relevance' (22%), 'mental health' (18%) and 'musculoskeletal' (14%). We identified 89 overarching themes and subthemes, which we organised into a hierarchy with seven top‐level themes: quality of life, caregivers and families, causes and prevention, screening and diagnosis, treatment and management, services and systems and social influences and impacts. Conclusion: There are many overarching themes common to research priorities across multiple areas of health and care. To facilitate new research and research funding, we have developed an interactive tool to help researchers, funders and patients or service users to explore these priority topics. This is freely available to download online. Patient or Public Contribution: Patients or service users and carers were involved throughout the study, including deciding the aims, designing the study, analysing priorities to identify themes, interpreting and reporting the findings. [ABSTRACT FROM AUTHOR]

Published
2024
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12. A Cross-Sectional, Multicenter, Disease-Specific, Health-Related Quality of Life study in Greek Transfusion Dependent Thalassemia Patients

Author

Klonizakis, Philippos, primary, Roy, Noémi, additional, Papatsouma, Ioanna, additional, Mainou, Maria, additional, Christodoulou, Ioanna, additional, Pantelidou, Despina, additional, Kokkota, Smaro, additional, Diamantidis, Michael, additional, Kourakli, Alexandra, additional, Lazaris, Vasilios, additional, Andriopoulos, Dimitrios, additional, Tsapas, Apostolos, additional, Klaassen, Robert J., additional, and Vlachaki, Efthymia, additional

Published
2023
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14. A Cross-Sectional, Multicentric, Disease-Specific, Health-Related Quality of Life Study in Greek Transfusion Dependent Thalassemia Patients.

Author

Klonizakis, Philippos, Roy, Noémi, Papatsouma, Ioanna, Mainou, Maria, Christodoulou, Ioanna, Pantelidou, Despina, Kokkota, Smaro, Diamantidis, Michael, Kourakli, Alexandra, Lazaris, Vasileios, Andriopoulos, Dimitrios, Tsapas, Apostolos, Klaassen, Robert J., and Vlachaki, Efthymia

Subjects
THALASSEMIA treatment, CROSS-sectional method, HEALTH status indicators, QUESTIONNAIRES, MULTIVARIATE analysis, DESCRIPTIVE statistics, QUALITY of life, RESEARCH, STATISTICS, BLOOD transfusion, COMPARATIVE studies, DATA analysis software, CONFIDENCE intervals, REGRESSION analysis
Abstract

The assessment of health-related quality of life (HRQoL) in thalassemia offers a holistic approach to the disease and facilitates better communication between physicians and patients. This study aimed to evaluate the HRQoL of transfusion-dependent thalassemia (TDT) patients in Greece. This was a multicentric, cross-sectional study conducted in 2017 involving 283 adult TDT patients. All participants completed a set of two QoL questionnaires, the generic SF-36v2 and the disease-specific TranQol. Demographic and clinical characteristics were used to predefine patient subgroups. Significant factors identified in the univariate analysis were entered into a multivariate analysis to assess their effect on HRQoL. The SF-36 scores of TDT patients were consistently lower compared to the general population in Greece. The mean summary score of TranQol was relatively high (71 ± 14%), exceeding levels observed in national surveys in other countries. Employment emerged as the most significant independent factor associated with better HRQoL, whereas age had the most significant negative effect. This study represents the first comprehensive QoL assessment of a representative sample of the TDT population in Greece. The implementation of TranQol allowed for the quantification of HRQoL in Greece, establishing a baseline for future follow-up, and identifying more vulnerable patient subgroups. [ABSTRACT FROM AUTHOR]

Published
2024
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17. RNA Polymerase II pausing temporally coordinates cell cycle progression and erythroid differentiation

Author

Martell, Danya J., primary, Merens, Hope E., additional, Fiorini, Claudia, additional, Caulier, Alexis, additional, Ulirsch, Jacob C., additional, Ietswaart, Robert, additional, Choquet, Karine, additional, Graziadei, Giovanna, additional, Brancaleoni, Valentina, additional, Domenica Cappellini, Maria, additional, Scott, Caroline, additional, Roberts, Nigel, additional, Proven, Melanie, additional, Roy, Noémi BA, additional, Babbs, Christian, additional, Higgs, Douglas R., additional, Sankaran, Vijay G., additional, and Churchman, L. Stirling, additional

Published
2023
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18. The use of next-generation sequencing in the diagnosis of rare inherited anaemias: A Joint BSH/EHA Good Practice Paper

Author

Roy, Noémi B. A., Da Costa, Lydie, Russo, Roberta, Bianchi, Paola, Mañú-Pereira, Maria del Mar, Fermo, Elisa, Andolfo, Immacolata, Clark, Barnaby, Proven, Melanie, Sanchez-Fernandez, Mayka, Van Wijk, Richard, Van der Zwaag, Bert, Layton, Mark, Rees, David, Iolascon, Achille, British Society for Haematology/ European Hematology Association, Institut Català de la Salut, [Roy NBA] Department of Haematology, Oxford University Hospitals, NHS Foundation Trust, Oxford, UK. NIHR BRC Blood Theme, Oxford, UK. [Da Costa L] Hôpital Universitaire Robert Debré, Paris, France. [Russo R] Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli Federico II, Naples, Italy. CEINGE Biotecnologie Avanzate, Naples, Italy. [Bianchi P, Fermo E] UOS Fisiopatologia delle Anemie, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico Milano, Milan, Italy. [Mañú-Pereira MDM] Grup de Recerca Translacional en Trastorns d'Anèmia Rara, Vall d'Hebron Institut de Recerca (VHIR), Barcelona, Spain, Vall d'Hebron Barcelona Hospital Campus, Roy, Noémi B A, Da Costa, Lydie, Russo, Roberta, Bianchi, Paola, Del Mar Mañú-Pereira, Maria, Fermo, Elisa, Andolfo, Immacolata, Clark, Barnaby, Proven, Melanie, Sanchez, Mayka, van Wijk, Richard, van der Zwaag, Bert, Layton, Mark, Rees, David, and Iolascon, Achille

Subjects
Pathological Conditions, Signs and Symptoms::Pathologic Processes::Disease Attributes::Rare Diseases [DISEASES], Buenas prácticas, Otros calificadores::/diagnóstico [Otros calificadores], High-Throughput Nucleotide Sequencing, Anemia, Malalties rares - Diagnòstic, Hematology, Patient care, Atenció al pacient, afecciones patológicas, signos y síntomas::procesos patológicos::atributos de la enfermedad::enfermedades raras [ENFERMEDADES], Investigative Techniques::Genetic Techniques::Sequence Analysis::High-Throughput Nucleotide Sequencing [ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT], Mutation, Bones pràctiques, Anèmia - Diagnòstic, Atención al paciente, Other subheadings::/diagnosis [Other subheadings], Humans, Good practices, técnicas de investigación::técnicas genéticas::análisis de secuencias::secuenciación de nucleótidos de alto rendimiento [TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS], Hemic and Lymphatic Diseases::Hematologic Diseases::Anemia [DISEASES], enfermedades hematológicas y linfáticas::enfermedades hematológicas::anemia [ENFERMEDADES], Seqüència de nucleòtids
Abstract

The British Society for Haematology (BSH) produces Good Practice Papers to recommend good practice in areas where there is a limited evidence base but for which a degree of consensus or uniformity is likely to be beneficial to patient care. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) nomenclature was used to evaluate levels of evidence and to assess the strength of recommendations. The GRADE criteria can be found at http://www.gradeworkinggroup.org. This Good Practice Paper was produced as a collaboration with the European Hematology Association (EHA) compiled according to the (BSH) process at http://scanmail.trustwave.com/?c=8248&d=68DV3b1jbPPsVn-8nm3kGS2D_-Hms9YWMWrrk5K8Eg&u=http%3a%2f%2fb-s-h%2eorg.uk. This guideline group included UK-based medical experts representing the BSH and members of the Red Cell and Iron Scientific Working Group (SWG) of EHA. Literature review details: MEDLINE, EMBASE and PubMED were searched systematically for publications in English from 2000 to 2019 using the following key words. ‘NGS’ and ‘next-generation sequencing’ or ‘high throughput sequencing’ AND ‘haemolytic anaemia’ or ‘DBA or ‘Diamond Blackfan anaemia’ or ‘CDA’ or ‘congenital dyserythropoietic anaemia’ or ‘sideroblastic anaemia’ or ‘HS' or ‘hereditary spherocytosis’ or ‘red cell membrane disorders’ or ‘red cell enzyme disorders’ or ‘PK deficiency’ or ‘PKD’. References from relevant publications were also searched. Conference abstracts were included if deemed to be of particular relevance. Review of the manuscript: Review of the manuscript was performed by the BSH Guidelines Committee General Haematology Task Force, the BSH Guidelines Committee and the General Haematology sounding board of the BSH. It was also on the members section of the BSH website for comment. It has also been reviewed by members of the EHA Red Cell and Iron SWG and the EHA Guidelines Executive Committee. info:eu-repo/semantics/publishedVersion

Published
2022

20. An Ancient Transcriptional Hub Couples Developmentally Regulated Gene Expression with Metabolism during Erythropoiesis

Author

Preston, Alexandra E., primary, Frost, Joe N., additional, Badat, Mohsin, additional, Armitage, Andrew E., additional, Wideman, Sarah, additional, Teh, Megan, additional, Norfo, Ruggiero, additional, Roy, Noémi, additional, Davies, James O.J., additional, Beagrie, Robert, additional, Higgs, Douglas R., additional, and Drakesmith, Hal, additional

Published
2022
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22. Significant haemoglobinopathies: A guideline for screening and diagnosis: A British Society for Haematology Guideline.

Author

Bain, Barbara J., Daniel, Yvonne, Henthorn, Joan, de la Salle, Barbara, Hogan, Amanda, Roy, Noémi B. A., Mooney, Ciaran, Langabeer, Lisa, and Rees, David C.

Subjects
MEDICAL screening, SICKLE cell anemia, HEMATOLOGY, NEWBORN screening
Abstract

Summary: Antenatal screening/testing of pregnant women should be carried out according to the guidelines of the National Health Service (NHS) Sickle Cell and Thalassaemia Screening Programme. Newborn screening and, when necessary, follow‐up testing and referral, should be carried out according to the guidelines of the NHS Sickle Cell and Thalassaemia Screening Programme. All babies under 1 year of age arriving in the United Kingdom should be offered screening for sickle cell disease (SCD). Preoperative screening for SCD should be carried out in patients from ethnic groups in which there is a significant prevalence of the condition. Emergency screening with a sickle solubility test must always be followed by definitive analysis. Laboratories performing antenatal screening should utilise methods that are capable of detecting significant variants and are capable of quantitating haemoglobins A2 and F at the cut‐off points required by the national antenatal screening programme. The laboratory must ensure a provisional report is available for antenatal patients within three working days from sample receipt. [ABSTRACT FROM AUTHOR]

Published
2023
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23. Functional impairment of erythropoiesis in Congenital Dyserythropoietic Anaemia type I arises at the progenitor level

Author

Scott, Caroline, primary, Bartolovic, Kerol, additional, Clark, Sally‐Ann, additional, Waithe, Dominic, additional, Hill, Quentin A., additional, Okoli, Steven, additional, Renella, Raffaele, additional, Ryan, Kate, additional, Cahill, Mary R., additional, Higgs, Douglas R., additional, Roy, Noémi B. A., additional, Buckle, Veronica, additional, Roberts, Irene, additional, and Babbs, Christian, additional

Published
2022
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31. A quality improvement project for the cost‐effective management of maternal anaemia.

Author

Colman, Katherine S., Pavord, Sue, and Roy, Noémi

Subjects
ANEMIA, PROJECT management, SMALL for gestational age, IRON deficiency anemia
Abstract

Those with moderate-to-severe anaemia (haemoglobin <100 g/l), with late gestation (referred >36 weeks), or symptomatic of anaemia (fatigue, palpitations) were prescribed IV iron as they were considered to have insufficient time before delivery for oral iron to be effective. While IV iron produced a faster haemoglobin rise than oral iron, with careful selection of best treatment we achieved similar haemoglobin concentrations at delivery regardless of the route of iron administration. Keywords: anaemia; iron deficiency; pregnancy; oral iron; IV iron EN anaemia iron deficiency pregnancy oral iron IV iron 445 448 4 01/17/22 20220115 NES 220115 Anaemia is highly prevalent during pregnancy, estimated at 23% of pregnant women in the UK.1 Demands for iron from the developing fetus, expanding maternal haemoglobin mass, and blood loss at delivery2 frequently outstrips supply from maternal iron stores. [Extracted from the article]

Published
2022
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33. Real-time national survey of COVID-19 in hemoglobinopathy and rare inherited anemia patients

Author

Telfer, Paul, primary, De la Fuente, Josu, additional, Sohal, Mamta, additional, Brown, Ralph, additional, Eleftheriou, Perla, additional, Roy, Noémi, additional, Piel, Frédéric B., additional, Chakravorty, Subarna, additional, Gardner, Kate, additional, Velangi, Mark, additional, Drasar, Emma, additional, Shah, Farrukh, additional, Porter, John B., additional, Trompeter, Sara, additional, Atoyebi, Wale, additional, Szydlo, Richard, additional, Anie, Kofi A., additional, Ryan, Kate, additional, Sharif, Joseph, additional, Wright, Josh, additional, Astwood, Emma, additional, Nicolle, C. Sarah, additional, Webster, Amy, additional, Roberts, David J., additional, Lugthart, Sanne, additional, Kaya, Banu, additional, Awogbade, Moji, additional, Rees, David C., additional, Hollingsworth, Rob, additional, Inusa, Baba, additional, Howard, Jo, additional, and Layton, D. Mark, additional

Published
2020
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34. Genetic and functional insights into CDA-I prevalence and pathogenesis

Author

Olijnik, Aude-Anais, primary, Roy, Noémi B A, additional, Scott, Caroline, additional, Marsh, Joseph A, additional, Brown, Jill, additional, Lauschke, Karin, additional, Ask, Katrine, additional, Roberts, Nigel, additional, Downes, Damien J, additional, Brolih, Sanja, additional, Johnson, Errin, additional, Xella, Barbara, additional, Proven, Melanie, additional, Hipkiss, Ria, additional, Ryan, Kate, additional, Frisk, Per, additional, Mäkk, Johan, additional, Stattin, Eva-Lena Maria, additional, Sadasivam, Nandini, additional, McIlwaine, Louisa, additional, Hill, Quentin A, additional, Renella, Raffaele, additional, Hughes, Jim R, additional, Gibbons, Richard J, additional, Groth, Anja, additional, McHugh, Peter J, additional, Higgs, Douglas R, additional, Buckle, Veronica J, additional, and Babbs, Christian, additional

Published
2020
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36. Telomerecat: A ploidy-agnostic method for estimating telomere length from whole genome sequencing data

Author

Farmery, James H. R., Smith, Mike L., Huissoon, Aarnoud, Furnell, Abigail, Mead, Adam, Levine, Adam P., Manzur, Adnan, Thrasher, Adrian, Greenhalgh, Alan, Parker, Alasdair, Sanchis-Juan, Alba, Richter, Alex, Gardham, Alice, Lawrie, Allan, Sohal, Aman, Creaser-Myers, Amanda, Frary, Amy, Greinacher, Andreas, Themistocleous, Andreas, Peacock, Andrew J., Marshall, Andrew, Mumford, Andrew, Rice, Andrew, Webster, Andrew, Brady, Angie, Koziell, Ania, Manson, Ania, Chandra, Anita, Hensiek, Anke, Veld, Anna Huis In'T., Maw, Anna, Kelly, Anne M., Moore, Anthony, Vonk Noordegraaf, Anton, Attwood, Antony, Herwadkar, Archana, Ghofrani, Ardi, Houweling, Arjan C., Girerd, Barbara, Furie, Bruce, Treacy, Carmen M., Millar, Carolyn M., Sewell, Carrock, Roughley, Catherine, Titterton, Catherine, Williamson, Catherine, Hadinnapola, Charaka, Deshpande, Charu, Toh, Cheng-Hock, Bacchelli, Chiara, Patch, Chris, Geet, Chris Van, Babbs, Christian, Bryson, Christine, Penkett, Christopher J., Rhodes, Christopher J., Watt, Christopher, Bethune, Claire, Booth, Claire, Lentaigne, Claire, McJannet, Coleen, Church, Colin, French, Courtney, Samarghitean, Crina, Halmagyi, Csaba, Gale, Daniel, Greene, Daniel, Hart, Daniel, Allsup, David, Bennett, David, Edgar, David, Kiely, David G., Gosal, David, Perry, David J., Keeling, David, Montani, David, Shipley, Debbie, Whitehorn, Deborah, Fletcher, Debra, Krishnakumar, Deepa, Grozeva, Detelina, Kumararatne, Dinakantha, Thompson, Dorothy, Josifova, Dragana, Maher, Eamonn, Wong, Edwin K. S., Murphy, Elaine, Dewhurst, Eleanor, Louka, Eleni, Rosser, Elisabeth, Chalmers, Elizabeth, Colby, Elizabeth, Drewe, Elizabeth, McDermott, Elizabeth, Thomas, Ellen, Staples, Emily, Clement, Emma, Matthews, Emma, Wakeling, Emma, Oksenhendler, Eric, Turro, Ernest, Reid, Evan, Wassmer, Evangeline, Raymond, F. Lucy, Hu, Fengyuan, Kennedy, Fiona, Soubrier, Florent, Flinter, Frances, Kovacs, Gabor, Polwarth, Gary, Ambegaonkar, Gautum, Arno, Gavin, Hudson, Gavin, Woods, Geoff, Coghlan, Gerry, Hayman, Grant, Arumugakani, Gururaj, Schotte, Gwen, Cook, H. Terry, Alachkar, Hana, Lango Allen, Hana, Lango-Allen, Hana, Stark, Hannah, Stauss, Hans, Schulze, Harald, Boggard, Harm J., Baxendale, Helen, Dolling, Helen, Firth, Helen, Gall, Henning, Watson, Henry, Longhurst, Hilary, Markus, Hugh S., Watkins, Hugh, Simeoni, Ilenia, Emmerson, Ingrid, Roberts, Irene, Quinti, Isabella, Wanjiku, Ivy, Gibbs, J. Simon R., Thaventhiran, James, Whitworth, James, Hurst, Jane, Collins, Janine, Suntharalingam, Jay, Payne, Jeanette, Thachil, Jecko, Martin, Jennifer M., Carmichael, Jenny, Maimaris, Jesmeen, Paterson, Joan, Pepke-Zaba, Joanna, Heemskerk, Johan W. M., Gebhart, Johanna, Davis, John, Pasi, John, Bradley, John R., Wharton, John, Stephens, Jonathan, Rankin, Julia, Anderson, Julie, Vogt, Julie, von Ziegenweldt, Julie, Rehnstrom, Karola, Megy, Karyn, Talks, Kate, Peerlinck, Kathelijne, Yates, Katherine, Freson, Kathleen, Stirrups, Kathleen, Gomez, Keith, Smith, Kenneth G. C., Rue-Albrecht, Kevin, Gilmour, Kimberley, Masati, Larahmie, Scelsi, Laura, Southgate, Laura, Ranganathan, Lavanya, Ginsberg, Lionel, Devlin, Lisa, Willcocks, Lisa, Ormondroyd, Liz, Lorenzo, Lorena, Harper, Lorraine, Allen, Louise, Daugherty, Louise, Chitre, Manali, Kurian, Manju, Humbert, Marc, Tischkowitz, Marc, Bitner-Glindzicz, Maria, Erwood, Marie, Scully, Marie, Veltman, Marijke, Caulfield, Mark, Layton, Mark, McCarthy, Mark, Ponsford, Mark, Toshner, Mark, Bleda, Marta, Wilkins, Martin, Mathias, Mary, Reilly, Mary, Afzal, Maryam, Brown, Matthew, Rondina, Matthew, Stubbs, Matthew, Haimel, Matthias, Lees, Melissa, Laffan, Michael A., Browning, Michael, Gattens, Michael, Richards, Michael, Michaelides, Michel, Lambert, Michele P., Makris, Mike, de Vries, Minka, Mahdi-Rogers, Mohamed, Saleem, Moin, Thomas, Moira, Holder, Muriel, Eyries, M. lanie, Clements-Brod, Naomi, Canham, Natalie, Dormand, Natalie, Zuydam, Natalie Van, Kingston, Nathalie, Ghali, Neeti, Cooper, Nichola, Morrell, Nicholas W., Yeatman, Nigel, Roy, Noémi, Shamardina, Olga, Alavijeh, Omid S., Gresele, Paolo, Nurden, Paquita, Chinnery, Patrick, Deegan, Patrick, Yong, Patrick, Man, Patrick Yu Wai, Corris, Paul A., Calleja, Paul, Gissen, Paul, Bolton-Maggs, Paula, Rayner-Matthews, Paula, Ghataorhe, Pavandeep K., Gordins, Pavel, Stein, Penelope, Collins, Peter, Dixon, Peter, Kelleher, Peter, Ancliff, Phil, Yu, Ping, Tait, R. Campbell, Linger, Rachel, Doffinger, Rainer, Machado, Rajiv, Kazmi, Rashid, Sargur, Ravishankar, Favier, Remi, Tan, Rhea, Liesner, Ri, Antrobus, Richard, Sandford, Richard, Scott, Richard, Trembath, Richard, Horvath, Rita, Hadden, Rob, Mackenzieross, Rob V., Henderson, Robert, MacLaren, Robert, James, Roger, Ghurye, Rohit, Dacosta, Rosa, Hague, Rosie, Mapeta, Rutendo, Armstrong, Ruth, Noorani, Sadia, Murng, Sai, Santra, Saikat, Tuna, Salih, Johnson, Sally, Chong, Sam, Lear, Sara, Walker, Sara, Goddard, Sarah, Mangles, Sarah, Westbury, Sarah, Mehta, Sarju, Hackett, Scott, Nejentsev, Sergey, Moledina, Shahin, Bibi, Shahnaz, Meehan, Sharon, Othman, Shokri, Revel-Vilk, Shoshana, Holden, Simon, McGowan, Simon, Staines, Simon, Savic, Sinisa, Burns, Siobhan, Grigoriadou, Sofia, Papadia, Sofia, Ashford, Sofie, Schulman, Sol, Ali, Sonia, Park, Soo-Mi, Davies, Sophie, Stock, Sophie, Ali, Souad, Deevi, Sri V. V., Gräf, Stefan, Ghio, Stefano, Wort, Stephen J., Jolles, Stephen, Austin, Steve, Welch, Steve, Meacham, Stuart, Rankin, Stuart, Walker, Suellen, Seneviratne, Suranjith, Holder, Susan, Sivapalaratnam, Suthesh, Richardson, Sylvia, Kuijpers, Taco, Kuijpers, Taco W., Bariana, Tadbir K., Bakchoul, Tamam, Everington, Tamara, Renton, Tara, Young, Tim, Aitman, Timothy, Warner, Timothy Q., Vale, Tom, Hammerton, Tracey, Pollock, Val, Matser, Vera, Cookson, Victoria, Clowes, Virginia, Qasim, Waseem, Wei, Wei, Erber, Wendy N., Ouwehand, Willem H., Astle, William, Egner, William, Turek, Wojciech, Henskens, Yvonne, Tan, Yvonne, Lynch, Andy G., Other departments, ARD - Amsterdam Reproduction and Development, Paediatric Infectious Diseases / Rheumatology / Immunology, Peerlinck, Kathelijne, Freson, Kathleen, University of St Andrews. Statistics, University of St Andrews. School of Medicine, University of St Andrews. Population and Behavioural Science Division, University of St Andrews. Cellular Medicine Division, Rue-Albrecht, K, VU University medical center, ACS - Pulmonary hypertension & thrombosis, Pulmonary medicine, APH - Quality of Care, Amsterdam Reproduction & Development (AR&D), Human genetics, ACS - Atherosclerosis & ischemic syndromes, Molecular cell biology and Immunology, Pediatric surgery, APH - Aging & Later Life, Lynch, Andy G [0000-0002-7876-7338], and Apollo - University of Cambridge Repository

Subjects
Telomerase, Carcinoma, Hepatocellular, Genotype, Science, QH301 Biology, Induced Pluripotent Stem Cells, Primary Cell Culture, Sequencing data, Gene Expression, Computational biology, Biology, Article, RC0254, 03 medical and health sciences, QH301, 0302 clinical medicine, SDG 3 - Good Health and Well-being, Humans, 030304 developmental biology, Whole genome sequencing, 0303 health sciences, Ploidies, Multidisciplinary, Whole Genome Sequencing, Telomere biology, RC0254 Neoplasms. Tumors. Oncology (including Cancer), Liver Neoplasms, Telomere Homeostasis, Mesenchymal Stem Cells, DAS, Telomere, Publisher Correction, T Technology, Cancer data, 030220 oncology & carcinogenesis, Medicine, Ploidy, Algorithms
Abstract

Funding: Cancer Research UK Programme Grant to Simon Tavaré (C14303/A17197) (JHRF, AGL, MLS); European Commission through the Horizon 2020 project SOUND (Grant Agreement no. 633974) (AGL). Telomere length is a risk factor in disease and the dynamics of telomere length are crucial to our understanding of cell replication and vitality. The proliferation of whole genome sequencing represents an unprecedented opportunity to glean new insights into telomere biology on a previously unimaginable scale. To this end, a number of approaches for estimating telomere length from whole-genome sequencing data have been proposed. Here we present Telomerecat, a novel approach to the estimation of telomere length. Previous methods have been dependent on the number of telomeres present in a cell being known, which may be problematic when analysing aneuploid cancer data and non-human samples. Telomerecat is designed to be agnostic to the number of telomeres present, making it suited for the purpose of estimating telomere length in cancer studies. Telomerecat also accounts for interstitial telomeric reads and presents a novel approach to dealing with sequencing errors. We show that Telomerecat performs well at telomere length estimation when compared to leading experimental and computational methods. Furthermore, we show that it detects expected patterns in longitudinal data, repeated measurements, and cross-species comparisons. We also apply the method to a cancer cell data, uncovering an interesting relationship with the underlying telomerase genotype. Publisher PDF

Published
2018

37. Erratum to: Telomerecat: A ploidy-agnostic method for estimating telomere length from whole genome sequencing data (Scientific Reports, (2018), 8, 1, (1300), 10.1038/s41598-017-14403-y)

Author

Farmery, James H. R., Smith, Mike L., Huissoon, Aarnoud, Furnell, Abigail, Mead, Adam, Levine, Adam P., Manzur, Adnan, Thrasher, Adrian, Greenhalgh, Alan, Parker, Alasdair, Sanchis-Juan, Alba, Richter, Alex, Gardham, Alice, Lawrie, Allan, Sohal, Aman, Creaser-Myers, Amanda, Frary, Amy, Greinacher, Andreas, Themistocleous, Andreas, Peacock, Andrew J., Marshall, Andrew, Mumford, Andrew, Rice, Andrew, Webster, Andrew, Brady, Angie, Koziell, Ania, Manson, Ania, Chandra, Anita, Hensiek, Anke, Veld, Anna Huis in’t, Maw, Anna, Kelly, Anne M., Moore, Anthony, Vonk Noordegraaf, Anton, Attwood, Antony, Herwadkar, Archana, Ghofrani, Ardi, Houweling, Arjan C., Girerd, Barbara, Furie, Bruce, Treacy, Carmen M., Millar, Carolyn M., Sewell, Carrock, Roughley, Catherine, Titterton, Catherine, Williamson, Catherine, Hadinnapola, Charaka, Deshpande, Charu, Toh, Cheng-Hock, Bacchelli, Chiara, Patch, Chris, Geet, Chris Van, Babbs, Christian, Bryson, Christine, Penkett, Christopher J., Rhodes, Christopher J., Watt, Christopher, Bethune, Claire, Booth, Claire, Lentaigne, Claire, Mcjannet, Coleen, Church, Colin, French, Courtney, Samarghitean, Crina, Halmagyi, Csaba, Gale, Daniel, Greene, Daniel, Hart, Daniel, Allsup, David, Bennett, David, Edgar, David, Kiely, David G., Gosal, David, Perry, David J., Keeling, David, Montani, David, Shipley, Debbie, Whitehorn, Deborah, Fletcher, Debra, Krishnakumar, Deepa, Grozeva, Detelina, Kumararatne, Dinakantha, Thompson, Dorothy, Josifova, Dragana, Maher, Eamonn, Wong, Edwin K. S., Murphy, Elaine, Dewhurst, Eleanor, Louka, Eleni, Rosser, Elisabeth, Chalmers, Elizabeth, Colby, Elizabeth, Drewe, Elizabeth, Mcdermott, Elizabeth, Thomas, Ellen, Staples, Emily, Clement, Emma, Matthews, Emma, Wakeling, Emma, Oksenhendler, Eric, Turro, Ernest, Reid, Evan, Wassmer, Evangeline, Raymond, F. Lucy, Fengyuan, Hu, Kennedy, Fiona, Soubrier, Florent, Flinter, Frances, Kovacs, Gabor, Polwarth, Gary, Ambegaonkar, Gautum, Arno, Gavin, Hudson, Gavin, Woods, Geoff, Coghlan, Gerry, Hayman, Grant, Arumugakani, Gururaj, Schotte, Gwen, Cook, H. Terry, Alachkar, Hana, Lango Allen, Hana, Lango-Allen, Hana, Stark, Hannah, Stauss, Hans, Schulze, Harald, Boggard, Harm J., Baxendale, Helen, Dolling, Helen, Firth, Helen, Gall, Henning, Watson, Henry, Longhurst, Hilary, Markus, Hugh S., Watkins, Hugh, Simeoni, Ilenia, Emmerson, Ingrid, Roberts, Irene, Quinti, Isabella, Wanjiku, Ivy, Gibbs, J. Simon R., Thaventhiran, James, Whitworth, James, Hurst, Jane, Collins, Janine, Suntharalingam, Jay, Payne, Jeanette, Thachil, Jecko, Martin, Jennifer M., Martin, Jennifer, Carmichael, Jenny, Maimaris, Jesmeen, Paterson, Joan, Pepke-Zaba, Joanna, Heemskerk, Johan W. M., Gebhart, Johanna, Davis, John, Pasi, John, Bradley, John R., Wharton, John, Stephens, Jonathan, Rankin, Julia, Anderson, Julie, Vogt, Julie, von Ziegenweldt, Julie, Rehnstrom, Karola, Megy, Karyn, Talks, Kate, Peerlinck, Kathelijne, Yates, Katherine, Freson, Kathleen, Stirrups, Kathleen, Gomez, Keith, Smith, Kenneth G. C., Carss, Keren, Rue-Albrecht, Kevin, Gilmour, Kimberley, Masati, Larahmie, Scelsi, Laura, Southgate, Laura, Ranganathan, Lavanya, Ginsberg, Lionel, Devlin, Lisa, Willcocks, Lisa, Ormondroyd, Liz, Lorenzo, Lorena, Harper, Lorraine, Allen, Louise, Daugherty, Louise, Chitre, Manali, Kurian, Manju, Humbert, Marc, Tischkowitz, Marc, Bitner-Glindzicz, Maria, Erwood, Marie, Scully, Marie, Veltman, Marijke, Caulfield, Mark, Layton, Mark, Mccarthy, Mark, Ponsford, Mark, Toshner, Mark, Bleda, Marta, Wilkins, Martin, Mathias, Mary, Reilly, Mary, Afzal, Maryam, Brown, Matthew, Rondina, Matthew, Stubbs, Matthew, Haimel, Matthias, Lees, Melissa, Laffan, Michael A., Browning, Michael, Gattens, Michael, Richards, Michael, Michaelides, Michel, Lambert, Michele P., Makris, Mike, De Vries, Minka, Mahdi-Rogers, Mohamed, Saleem, Moin, Thomas, Moira, Holder, Muriel, Eyries, Mélanie, Clements-Brod, Naomi, Canham, Natalie, Dormand, Natalie, Zuydam, Natalie Van, Kingston, Nathalie, Ghali, Neeti, Cooper, Nichola, Morrell, Nicholas W., Yeatman, Nigel, Roy, Noémi, Shamardina, Olga, Alavijeh, Omid S., Gresele, Paolo, Nurden, Paquita, Chinnery, Patrick, Deegan, Patrick, Yong, Patrick, Yu-Wai-Man, Patrick, Corris, Paul A., Calleja, Paul, Gissen, Paul, Bolton-Maggs, Paula, Rayner-Matthews, Paula, Ghataorhe, Pavandeep K., Gordins, Pavel, Stein, Penelope, Collins, Peter, Dixon, Peter, Kelleher, Peter, Ancliff, Phil, Ping, Yu, Tait, R. Campbell, Linger, Rachel, Doffinger, Rainer, Machado, Rajiv, Kazmi, Rashid, Sargur, Ravishankar, Favier, Remi, Tan, Rhea, Liesner, Ri, Antrobus, Richard, Sandford, Richard, Scott, Richard, Trembath, Richard, Horvath, Rita, Hadden, Rob, Mackenzieross, Rob V., Henderson, Robert, Maclaren, Robert, James, Roger, Ghurye, Rohit, Dacosta, Rosa, Hague, Rosie, Mapeta, Rutendo, Armstrong, Ruth, Noorani, Sadia, Murng, Sai, Santra, Saikat, Tuna, Salih, Johnson, Sally, Chong, Sam, Lear, Sara, Walker, Sara, Goddard, Sarah, Mangles, Sarah, Westbury, Sarah, Mehta, Sarju, Hackett, Scott, Nejentsev, Sergey, Moledina, Shahin, Bibi, Shahnaz, Meehan, Sharon, Othman, Shokri, Revel-Vilk, Shoshana, Holden, Simon, Mcgowan, Simon, Staines, Simon, Savic, Sinisa, Burns, Siobhan, Grigoriadou, Sofia, Papadia, Sofia, Ashford, Sofie, Schulman, Sol, Ali, Sonia, Park, Soo-Mi, Davies, Sophie, Stock, Sophie, Ali, Souad, Deevi, Sri V. V., Gräf, Stefan, Ghio, Stefano, Wort, Stephen J., Jolles, Stephen, Austin, Steve, Welch, Steve, Meacham, Stuart, Rankin, Stuart, Walker, Suellen, Seneviratne, Suranjith, Holder, Susan, Sivapalaratnam, Suthesh, Richardson, Sylvia, Kuijpers, Taco, Kuijpers, Taco W., Bariana, Tadbir K., Bakchoul, Tamam, Everington, Tamara, Renton, Tara, Young, Tim, Aitman, Timothy, Warner, Timothy Q., Vale, Tom, Hammerton, Tracey, Pollock, Val, Matser, Vera, Cookson, Victoria, Clowes, Virginia, Qasim, Waseem, Wei, Wei, Erber, Wendy N., Ouwehand, Willem H., Astle, William, Egner, William, Turek, Wojciech, Henskens, Yvonne, Tan, Yvonne, and Lynch, Andy G.

Subjects
Multidisciplinary
Published
2018

40. ERN-EuroBloodNet European Registry of Patients Affected by Red Blood Cell Disorders and COVID-19

Author

Velasco, Pablo, Longo, Filomena, Piolatto, Andrea, Bardón-Cancho, Eduardo J., Ponce-Salas, Beatriz, Flevari, Pagona, Voskaridou, Ersi, Biemond, Bart J., Nur, Erfan, Delaporta, Polyxeni, Besse-Hammer, Tatiana, Ruiz-Llobet, Anna, Raso, Simona, Spasiano, Anna, Guerzoni, Maria Elena, Beneitez-Pastor, David, Dedeken, Laurence, Pepe, Alessia, Rosso, Rosamaria, Kunz, Joachim B., de Montalembert, Mariane, Campisi, Saveria, Glenthøj, Andreas, Gonzalez Urdiales, Paula, Benghiat, Fleur Samantha, Azerad, Marie-Agnès, Saunders, Christopher J., Ferreira Faria, Teresa, Casini, Tommaso, Bagnato, Sabrina, Van de Velde, Ann, Labarque, Veerle, Bertoni, Elisa, Van Damme, An, Diamantidis, Michael D., Russo, Roberta, Stiakaki, Eftichia, Quota, Alessandra, Christou, Soteroula, Teles, Maria Jose, Lafiatis, Ioannis, Kerkhoffs, Jean-Louis, Argüello Marina, María, Lorite, Mikael, Rodriguez, Alexis, Iolascon, Achille, Taher, Ali T., Colombatti, Raffaella, Roy, Noemi, and Mañú Pereira, Maria Del Mar

Published
2021
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41. Genetic and functional insights into CDA-I prevalence and pathogenesis.

Author

Olijnik, Aude-Anais, Roy, Noémi B. A., Scott, Caroline, Marsh, Joseph A., Brown, Jill, Lauschke, Karin, Ask, Katrine, Roberts, Nigel, Downes, Damien J., Brolih, Sanja, Johnson, Errin, Xella, Barbara, Proven, Melanie, Hipkiss, Ria, Ryan, Kate, Frisk, Per, Mäkk, Johan, Stattin, Eva-Lena Maria, Sadasivam, Nandini, and McIlwaine, Louisa

Abstract

Background Congenital dyserythropoietic anaemia type I (CDA-I) is a hereditary anaemia caused by biallelic mutations in the widely expressed genes CDAN1 and C15orf41. Little is understood about either protein and it is unclear in which cellular pathways they participate. Methods Genetic analysis of a cohort of patients with CDA-I identifies novel pathogenic variants in both known causative genes. We analyse the mutation distribution and the predicted structural positioning of amino acids affected in Codanin-1, the protein encoded by CDAN1. Using western blotting, immunoprecipitation and immunofluorescence, we determine the effect of particular mutations on both proteins and interrogate protein interaction, stability and subcellular localisation. Results We identify six novel CDAN1 mutations and one novel mutation in C15orf41 and uncover evidence of further genetic heterogeneity in CDA-I. Additionally, population genetics suggests that CDA-I is more common than currently predicted. Mutations are enriched in six clusters in Codanin-1 and tend to affect buried residues. Many missense and in-frame mutations do not destabilise the entire protein. Rather C15orf41 relies on Codanin-1 for stability and both proteins, which are enriched in the nucleolus, interact to form an obligate complex in cells. Conclusion Stability and interaction data suggest that C15orf41 may be the key determinant of CDA-I and offer insight into the mechanism underlying this disease. Both proteins share a common pathway likely to be present in a wide variety of cell types; however, nucleolar enrichment may provide a clue as to the erythroid specific nature of CDA-I. The surprisingly high predicted incidence of CDA-I suggests that better ascertainment would lead to improved patient care. [ABSTRACT FROM AUTHOR]

Published
2021
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42. List of Contributors

Author

Abraham, Ajit, Anderson, Jane, Ashman, Neil, Baracaia, Simona, Barlow, Gavin, Barratt, Helen, Basnett, Ian, Booth, Sara, Bourke, Julius, Bowman, Deborah, Bradberry, Sally M, Buckland, Matthew, Bunce, Nicholas H, Chin, Chloe, Chinegwundoh, Francis, Clark, Michael L, Conway, Richard, Cooper, Silvie, Coyle, Colette, Cushing, Annie, Elia, Marinos, Foggo, Vanessa, Foster, Graham, Giles, Ian, Gleeson, Helena, Hamilton, Robin D, Harry, Damiete, Harper, Adam, Gregory Holt, Richard Ian, Irving, William L, Jarman, Paul, Jawad, Noor, Kapil, Vikas, Kelsell, David P, Bel Kok, Klaartje, Kumar, Parveen June, Lanham-New, Susan A, Leitch, Andrew William, Levy, Miles J, Lewis, Rachel, MacCallum, Peter, McCafferty, Kieran, Mehta, Nishchay, Melzer, Mark, Moffat, Catherine, Moss, Peter J, Mullins, Edward WS, Murphy, Michael F, Nelson-Piercy, Catherine, O’Brien, Alastair, Pasi, K John, Patel, Hitesh, Peakman, Mark, Pirmohamed, Munir, Plowman, Piers N, Preston, Joanna, Rahman, Anisur, Raine, Rosalind, Rajan, Neil, Ramachandran, Radha, Ray, Robin, Reddy, Narendra, Regan, Lesley, Roy, Noémi, Ruparelia, Prina, Sethia, Babulal, Shamash, Jonathan, Shepherd, Stephen, Sive, Jonathan, Skinner, Charlotte, Vaz, Francis, Vivekananda, Umesh, Wadsworth, Christopher, Wakelin, Sarah H, Wareham, David W, White, Veronica, Wierzbicki, Anthony S, Wilkinson, Iain, Wilson, Janet D, Winchester, Sarah Elizabeth, Yaqoob, M Magdi, and Zolfaghari, Parjam

Published
2021
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43. Quality of Life in Transfusion-Dependent Thalassemia Patients in Greece Before and During the Coronavirus Disease 2019 Pandemic

Author

Klonizakis, Philippos, Klaassen, Robert J., Roy, Noémi, Papatsouma, Ioanna, Mainou, Maria, Christodoulou, Ioanna, Tsapas, Apostolos, and Vlachaki, Efthymia

Abstract

The peak of the COVID-19 pandemic was a challenging situation for Transfusion-Dependent Thalassemia (TDT) patients. The objectives of this study were to measure the Quality of Life (QoL) in TDT patients during the COVID-19 lockdown restriction measures, compare the results with the pre-COVID-19 era and evaluate the influence of sociodemographic and clinical factors on QoL.

Published
2024
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44. Protecting vulnerable patients with inherited anaemias from unnecessary death during the COVID‐19 pandemic.

Author

Roy, Noémi B. A., Telfer, Paul, Eleftheriou, Perla, de la Fuente, Josu, Drasar, Emma, Shah, Farrukh, Roberts, David, Atoyebi, Wale, Trompeter, Sara, Layton, D. Mark, Lugthart, Sanne, Stuart‐Smith, Sara, Chakravorty, Subarna, Wright, Josh, Porter, John, Inusa, Baba, and Howard, Jo

Subjects
*COVID-19 pandemic, *SICKLE cell anemia, *ANEMIA, *PYRUVATE kinase, *COVID-19
Abstract

Summary: With the developing COVID‐19 pandemic, patients with inherited anaemias require specific advice regarding isolation and changes to usual treatment schedules. The National Haemoglobinopathy Panel (NHP) has issued guidance on the care of patients with sickle cell disease, thalassaemia, Diamond Blackfan anaemia (DBA), congenital dyserythropoietic anaemia (CDA), sideroblastic anaemia, pyruvate kinase deficiency and other red cell enzyme and membrane disorders. Cascading of accurate information for clinicians and patients is paramount to preventing adverse outcomes, such as patients who are at increased risk of fulminant bacterial infection due to their condition or its treatment erroneously self‐isolating if their fever is mistakenly attributed to a viral cause, delaying potentially life‐saving antibiotic therapy. Outpatient visits should be minimised for most patients, however some, such as first transcranial dopplers for children with sickle cell anaemia should not be delayed as known risk of stroke will outweigh the unknown risk from COVID‐19 infection. Blood transfusion programmes should be continued, but specific changes to usual clinical pathways can be instituted to reduce risk of patient exposure to COVID‐19, as well as contingency planning for possible reductions in blood available for transfusions. Bone marrow transplants for these disorders should be postponed until further notice. With the current lack of evidence on the risk and complications of COVID‐19 infection in these patients, national data collection is ongoing to record outcomes and eventually to identify predictors of disease severity, particularly important if further waves of infection travel through the population. [ABSTRACT FROM AUTHOR]

Published
2020
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45. Single-cell O2 exchange imaging shows that cytoplasmic diffusion is a dominant barrier to efficient gas transport in red blood cells.

Author

Richardson, Sarah L., Hulikova, Alzbeta, Proven, Melanie, Hipkiss, Ria, Akanni, Magbor, Roy, Noémi B. A., and Swietach, Pawel

Subjects
ERYTHROCYTES, DIFFUSION, CELL size, FLUORESCENCE microscopy
Abstract

Disorders of oxygen transport are commonly attributed to inadequate carrying capacity (anemia) but may also relate to inefficient gas exchange by red blood cells (RBCs), a process that is poorly characterized yet assumed to be rapid. Without direct measurements of gas exchange at the single-cell level, the barriers to O2 transport and their relationship with hematological disorders remain ill defined. We developed a method to track the flow of O2 in individual RBCs by combining ultrarapid solution switching (to manipulate gas tension) with single-cell O2 saturation fluorescence microscopy. O2 unloading from RBCs was considerably slower than previously estimated in acellular hemoglobin solutions, indicating the presence of diffusional barriers in intact cells. Rate-limiting diffusion across cytoplasm was demonstrated by osmotically induced changes to hemoglobin concentration (i.e., diffusive tortuosity) and cell size (i.e., diffusion pathlength) and by comparing wild-type cells with hemoglobin H (HbH) thalassemia (shorter pathlength and reduced tortuosity) and hereditary spherocytosis (HS; expanded pathlength). Analysis of the distribution of O2 unloading rates in HS RBCs identified a subpopulation of spherocytes with greatly impaired gas exchange. Tortuosity imposed by hemoglobin was verified by demonstrating restricted diffusivity of CO2, an acidic gas, from the dissipative spread of photolytically uncaged H+ ions across cytoplasm. Our findings indicate that cytoplasmic diffusion, determined by pathlength and tortuosity, is a major barrier to efficient gas handling by RBCs. Consequently, changes in RBC shape and hemoglobin concentration, which are common manifestations of hematological disorders, can have hitherto unrecognized and clinically significant implications on gas exchange. [ABSTRACT FROM AUTHOR]

Published
2020
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46. Majeed syndrome: description of a novel mutation and therapeutic response to bisphosphonates and IL-1 blockade with anakinra.

Author

Roy, Noémi B A, Zaal, Ahmad I, Hall, Georgina, Wilkinson, Nick, Proven, Melanie, McGowan, Simon, Hipkiss, Ria, Buckle, Veronica, Kavirayani, Akhila, and Babbs, Christian

Subjects
*ANTIRHEUMATIC agents, *BIOMARKERS, *CHRONIC diseases, *DIPHOSPHONATES, *INTERLEUKIN-1, *GENETIC mutation, *OSTEITIS, *OSTEOMYELITIS, *TREATMENT effectiveness, *SWEET'S syndrome, *CONGENITAL hemolytic anemia, *CHEMICAL inhibitors, *SYMPTOMS
Abstract

The article describes the case of a consanguineous Pakistani family whose index child presented in infancy with a conglomeration of features indicating a possible Majeed syndrome. Topics covered include the findings of the proband's DNA screening, the clinical variability in Majeed syndrome, and their therapeutic response to bisphosphonates and interleukin (IL)-1 blockade with anakinra.

Published
2020
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47. De Novo Truncating Mutations in WASF1 Cause Intellectual Disability with Seizures

Author

Ito, Yoko, primary, Carss, Keren J., additional, Duarte, Sofia T., additional, Hartley, Taila, additional, Keren, Boris, additional, Kurian, Manju A., additional, Marey, Isabelle, additional, Charles, Perinne, additional, Mendonça, Carla, additional, Nava, Caroline, additional, Pfundt, Rolph, additional, Sanchis-Juan, Alba, additional, van Bokhoven, Hans, additional, van Essen, Anthony, additional, van Ravenswaaij-Arts, Conny, additional, Boycott, Kym M., additional, Kernohan, Kristin D., additional, Dyack, Sarah, additional, Raymond, F. Lucy, additional, Aitman, Timothy, additional, Bennett, David, additional, Caulfield, Mark, additional, Chinnery, Patrick, additional, Gale, Daniel, additional, Koziell, Ania, additional, Kuijpers, Taco W., additional, Laffan, Michael A., additional, Maher, Eamonn, additional, Markus, Hugh S., additional, Morrell, Nicholas W., additional, Ouwehand, Willem H., additional, Perry, David J., additional, Roberts, Irene, additional, Smith, Kenneth G.C., additional, Thrasher, Adrian, additional, Watkins, Hugh, additional, Williamson, Catherine, additional, Woods, Geoffrey, additional, Ashford, Sofie, additional, Bradley, John R., additional, Fletcher, Debra, additional, Hammerton, Tracey, additional, James, Roger, additional, Kingston, Nathalie, additional, Penkett, Christopher J., additional, Stirrups, Kathleen, additional, Veltman, Marijke, additional, Young, Tim, additional, Brown, Matthew, additional, Clements-Brod, Naomi, additional, Davis, John, additional, Dewhurst, Eleanor, additional, Dolling, Helen, additional, Erwood, Marie, additional, Frary, Amy, additional, Linger, Rachel, additional, Martin, Jennifer M., additional, Papadia, Sofia, additional, Rehnstrom, Karola, additional, Stark, Hannah, additional, Allsup, David, additional, Austin, Steve, additional, Bakchoul, Tamam, additional, Bariana, Tadbir K., additional, Bolton-Maggs, Paula, additional, Chalmers, Elizabeth, additional, Collins, Janine, additional, Collins, Peter, additional, Erber, Wendy N., additional, Everington, Tamara, additional, Favier, Remi, additional, Freson, Kathleen, additional, Furie, Bruce, additional, Gattens, Michael, additional, Gebhart, Johanna, additional, Gomez, Keith, additional, Greene, Daniel, additional, Greinacher, Andreas, additional, Gresele, Paolo, additional, Hart, Daniel, additional, Heemskerk, Johan W.M., additional, Henskens, Yvonne, additional, Kazmi, Rashid, additional, Keeling, David, additional, Kelly, Anne M., additional, Lambert, Michele P., additional, Lentaigne, Claire, additional, Liesner, Ri, additional, Makris, Mike, additional, Mangles, Sarah, additional, Mathias, Mary, additional, Millar, Carolyn M., additional, Mumford, Andrew, additional, Nurden, Paquita, additional, Payne, Jeanette, additional, Pasi, John, additional, Peerlinck, Kathelijne, additional, Revel-Vilk, Shoshana, additional, Richards, Michael, additional, Rondina, Matthew, additional, Roughley, Catherine, additional, Schulman, Sol, additional, Schulze, Harald, additional, Scully, Marie, additional, Sivapalaratnam, Suthesh, additional, Stubbs, Matthew, additional, Tait, R. Campbell, additional, Talks, Kate, additional, Thachil, Jecko, additional, Toh, Cheng-Hock, additional, Turro, Ernest, additional, Van Geet, Chris, additional, De Vries, Minka, additional, Warner, Timothy Q., additional, Watson, Henry, additional, Westbury, Sarah, additional, Furnell, Abigail, additional, Mapeta, Rutendo, additional, Rayner-Matthews, Paula, additional, Simeoni, Ilenia, additional, Staines, Simon, additional, Stephens, Jonathan, additional, Watt, Christopher, additional, Whitehorn, Deborah, additional, Attwood, Antony, additional, Daugherty, Louise, additional, Deevi, Sri V.V., additional, Halmagyi, Csaba, additional, Hu, Fengyuan, additional, Matser, Vera, additional, Meacham, Stuart, additional, Megy, Karyn, additional, Shamardina, Olga, additional, Titterton, Catherine, additional, Tuna, Salih, additional, Yu, Ping, additional, von Ziegenweldt, Julie, additional, Astle, William, additional, Bleda, Marta, additional, Gräf, Stefan, additional, Haimel, Matthias, additional, Lango-Allen, Hana, additional, Richardson, Sylvia, additional, Calleja, Paul, additional, Rankin, Stuart, additional, Turek, Wojciech, additional, Anderson, Julie, additional, Bryson, Christine, additional, Carmichael, Jenny, additional, McJannet, Coleen, additional, Stock, Sophie, additional, Allen, Louise, additional, Ambegaonkar, Gautum, additional, Armstrong, Ruth, additional, Arno, Gavin, additional, Bitner-Glindzicz, Maria, additional, Brady, Angie, additional, Canham, Natalie, additional, Chitre, Manali, additional, Clement, Emma, additional, Clowes, Virginia, additional, Deegan, Patrick, additional, Deshpande, Charu, additional, Doffinger, Rainer, additional, Firth, Helen, additional, Flinter, Frances, additional, French, Courtney, additional, Gardham, Alice, additional, Ghali, Neeti, additional, Gissen, Paul, additional, Grozeva, Detelina, additional, Henderson, Robert, additional, Hensiek, Anke, additional, Holden, Simon, additional, Holder, Muriel, additional, Holder, Susan, additional, Hurst, Jane, additional, Josifova, Dragana, additional, Krishnakumar, Deepa, additional, Lees, Melissa, additional, MacLaren, Robert, additional, Maw, Anna, additional, Mehta, Sarju, additional, Michaelides, Michel, additional, Moore, Anthony, additional, Murphy, Elaine, additional, Park, Soo-Mi, additional, Parker, Alasdair, additional, Patch, Chris, additional, Paterson, Joan, additional, Rankin, Julia, additional, Reid, Evan, additional, Rosser, Elisabeth, additional, Sandford, Richard, additional, Santra, Saikat, additional, Scott, Richard, additional, Sohal, Aman, additional, Stein, Penelope, additional, Thomas, Ellen, additional, Thompson, Dorothy, additional, Tischkowitz, Marc, additional, Vogt, Julie, additional, Wakeling, Emma, additional, Wassmer, Evangeline, additional, Webster, Andrew, additional, Ali, Sonia, additional, Ali, Souad, additional, Boggard, Harm J., additional, Church, Colin, additional, Coghlan, Gerry, additional, Cookson, Victoria, additional, Corris, Paul A., additional, Creaser-Myers, Amanda, additional, DaCosta, Rosa, additional, Dormand, Natalie, additional, Eyries, Mélanie, additional, Gall, Henning, additional, Ghataorhe, Pavandeep K., additional, Ghio, Stefano, additional, Ghofrani, Ardi, additional, Gibbs, J. Simon R., additional, Girerd, Barbara, additional, Greenhalgh, Alan, additional, Hadinnapola, Charaka, additional, Houweling, Arjan C., additional, Humbert, Marc, additional, in’t Veld, Anna Huis, additional, Kennedy, Fiona, additional, Kiely, David G., additional, Kovacs, Gabor, additional, Lawrie, Allan, additional, Ross, Rob V. Mackenzie, additional, Machado, Rajiv, additional, Masati, Larahmie, additional, Meehan, Sharon, additional, Moledina, Shahin, additional, Montani, David, additional, Othman, Shokri, additional, Peacock, Andrew J., additional, Pepke-Zaba, Joanna, additional, Pollock, Val, additional, Polwarth, Gary, additional, Ranganathan, Lavanya, additional, Rhodes, Christopher J., additional, Rue-Albrecht, Kevin, additional, Schotte, Gwen, additional, Shipley, Debbie, additional, Soubrier, Florent, additional, Southgate, Laura, additional, Scelsi, Laura, additional, Suntharalingam, Jay, additional, Tan, Yvonne, additional, Toshner, Mark, additional, Treacy, Carmen M., additional, Trembath, Richard, additional, Vonk Noordegraaf, Anton, additional, Walker, Sara, additional, Wanjiku, Ivy, additional, Wharton, John, additional, Wilkins, Martin, additional, Wort, Stephen J., additional, Yates, Katherine, additional, Alachkar, Hana, additional, Antrobus, Richard, additional, Arumugakani, Gururaj, additional, Bacchelli, Chiara, additional, Baxendale, Helen, additional, Bethune, Claire, additional, Bibi, Shahnaz, additional, Booth, Claire, additional, Browning, Michael, additional, Burns, Siobhan, additional, Chandra, Anita, additional, Cooper, Nichola, additional, Davies, Sophie, additional, Devlin, Lisa, additional, Drewe, Elizabeth, additional, Edgar, David, additional, Egner, William, additional, Ghurye, Rohit, additional, Gilmour, Kimberley, additional, Goddard, Sarah, additional, Gordins, Pavel, additional, Grigoriadou, Sofia, additional, Hackett, Scott, additional, Hague, Rosie, additional, Harper, Lorraine, additional, Hayman, Grant, additional, Herwadkar, Archana, additional, Huissoon, Aarnoud, additional, Jolles, Stephen, additional, Kelleher, Peter, additional, Kumararatne, Dinakantha, additional, Lear, Sara, additional, Longhurst, Hilary, additional, Lorenzo, Lorena, additional, Maimaris, Jesmeen, additional, Manson, Ania, additional, McDermott, Elizabeth, additional, Murng, Sai, additional, Nejentsev, Sergey, additional, Noorani, Sadia, additional, Oksenhendler, Eric, additional, Ponsford, Mark, additional, Qasim, Waseem, additional, Quinti, Isabella, additional, Richter, Alex, additional, Samarghitean, Crina, additional, Sargur, Ravishankar, additional, Savic, Sinisa, additional, Seneviratne, Suranjith, additional, Sewell, Carrock, additional, Staples, Emily, additional, Stauss, Hans, additional, Thaventhiran, James, additional, Thomas, Moira, additional, Welch, Steve, additional, Willcocks, Lisa, additional, Yeatman, Nigel, additional, Yong, Patrick, additional, Ancliff, Phil, additional, Babbs, Christian, additional, Layton, Mark, additional, Louka, Eleni, additional, McGowan, Simon, additional, Mead, Adam, additional, Roy, Noémi, additional, Chambers, Jenny, additional, Dixon, Peter, additional, Estiu, Cecelia, additional, Hague, Bill, additional, Marschall, Hanns-Ulrich, additional, Simpson, Michael, additional, Chong, Sam, additional, Emmerson, Ingrid, additional, Ginsberg, Lionel, additional, Gosal, David, additional, Hadden, Rob, additional, Horvath, Rita, additional, Mahdi-Rogers, Mohamed, additional, Manzur, Adnan, additional, Marshall, Andrew, additional, Matthews, Emma, additional, McCarthy, Mark, additional, Reilly, Mary, additional, Renton, Tara, additional, Rice, Andrew, additional, Themistocleous, Andreas, additional, Vale, Tom, additional, Van Zuydam, Natalie, additional, Walker, Suellen, additional, Ormondroyd, Liz, additional, Hudson, Gavin, additional, Wei, Wei, additional, Yu Wai Man, Patrick, additional, Whitworth, James, additional, Afzal, Maryam, additional, Colby, Elizabeth, additional, Saleem, Moin, additional, Alavijeh, Omid S., additional, Cook, H. Terry, additional, Johnson, Sally, additional, Levine, Adam P., additional, Wong, Edwin K.S., additional, Tan, Rhea, additional, MacKenzie, Alex, additional, Majewski, Jacek, additional, Brudno, Michael, additional, Bulman, Dennis, additional, and Dyment, David, additional

Published
2018
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48. Comprehensive Cancer-Predisposition Gene Testing in an Adult Multiple Primary Tumor Series Shows a Broad Range of Deleterious Variants and Atypical Tumor Phenotypes

Author

Whitworth, James, primary, Smith, Philip S., additional, Martin, Jose-Ezequiel, additional, West, Hannah, additional, Luchetti, Andrea, additional, Rodger, Faye, additional, Clark, Graeme, additional, Carss, Keren, additional, Stephens, Jonathan, additional, Stirrups, Kathleen, additional, Penkett, Chris, additional, Mapeta, Rutendo, additional, Ashford, Sofie, additional, Megy, Karyn, additional, Shakeel, Hassan, additional, Ahmed, Munaza, additional, Adlard, Julian, additional, Barwell, Julian, additional, Brewer, Carole, additional, Casey, Ruth T., additional, Armstrong, Ruth, additional, Cole, Trevor, additional, Evans, Dafydd Gareth, additional, Fostira, Florentia, additional, Greenhalgh, Lynn, additional, Hanson, Helen, additional, Henderson, Alex, additional, Hoffman, Jonathan, additional, Izatt, Louise, additional, Kumar, Ajith, additional, Kwong, Ava, additional, Lalloo, Fiona, additional, Ong, Kai Ren, additional, Paterson, Joan, additional, Park, Soo-Mi, additional, Chen-Shtoyerman, Rakefet, additional, Searle, Claire, additional, Side, Lucy, additional, Skytte, Anne-Bine, additional, Snape, Katie, additional, Woodward, Emma R., additional, Tischkowitz, Marc D., additional, Maher, Eamonn R., additional, Aitman, Timothy, additional, Alachkar, Hana, additional, Ali, Sonia, additional, Allen, Louise, additional, Allsup, David, additional, Ambegaonkar, Gautum, additional, Anderson, Julie, additional, Antrobus, Richard, additional, Arno, Gavin, additional, Arumugakani, Gururaj, additional, Astle, William, additional, Attwood, Antony, additional, Austin, Steve, additional, Bacchelli, Chiara, additional, Bakchoul, Tamam, additional, Bariana, Tadbir K., additional, Baxendale, Helen, additional, Bennett, David, additional, Bethune, Claire, additional, Bibi, Shahnaz, additional, Bitner-Glindzicz, Maria, additional, Bleda, Marta, additional, Boggard, Harm, additional, Bolton-Maggs, Paula, additional, Booth, Claire, additional, Bradley, John R., additional, Brady, Angie, additional, Brown, Matthew, additional, Browning, Michael, additional, Bryson, Christine, additional, Burns, Siobhan, additional, Calleja, Paul, additional, Canham, Natalie, additional, Carmichael, Jenny, additional, Caulfield, Mark, additional, Chalmers, Elizabeth, additional, Chandra, Anita, additional, Chinnery, Patrick, additional, Chitre, Manali, additional, Church, Colin, additional, Clement, Emma, additional, Clements-Brod, Naomi, additional, Clowes, Virginia, additional, Coghlan, Gerry, additional, Collins, Peter, additional, Cookson, Victoria, additional, Cooper, Nichola, additional, Corris, Paul, additional, Creaser-Myers, Amanda, additional, DaCosta, Rosa, additional, Daugherty, Louise, additional, Davies, Sophie, additional, Davis, John, additional, De Vries, Minka, additional, Deegan, Patrick, additional, Deevi, Sri V.V., additional, Deshpande, Charu, additional, Devlin, Lisa, additional, Dewhurst, Eleanor, additional, Dixon, Peter, additional, Doffinger, Rainer, additional, Dormand, Natalie, additional, Drewe, Elizabeth, additional, Edgar, David, additional, Egner, William, additional, Erber, Wendy N., additional, Erwood, Marie, additional, Everington, Tamara, additional, Favier, Remi, additional, Firth, Helen, additional, Fletcher, Debra, additional, Flinter, Frances, additional, Frary, Amy, additional, Freson, Kathleen, additional, Furie, Bruce, additional, Furnell, Abigail, additional, Gale, Daniel, additional, Gardham, Alice, additional, Gattens, Michael, additional, Ghali, Neeti, additional, Ghataorhe, Pavandeep K., additional, Ghurye, Rohit, additional, Gibbs, Simon, additional, Gilmour, Kimberley, additional, Gissen, Paul, additional, Goddard, Sarah, additional, Gomez, Keith, additional, Gordins, Pavel, additional, Graf, Stefan, additional, Gräf, Stefan, additional, Greene, Daniel, additional, Greenhalgh, Alan, additional, Greinacher, Andreas, additional, Grigoriadou, Sofia, additional, Grozeva, Detelina, additional, Hackett, Scott, additional, Hadinnapola, Charaka, additional, Hague, Rosie, additional, Haimel, Matthias, additional, Halmagyi, Csaba, additional, Hammerton, Tracey, additional, Hart, Daniel, additional, Hayman, Grant, additional, Heemskerk, Johan W.M., additional, Henderson, Robert, additional, Hensiek, Anke, additional, Henskens, Yvonne, additional, Herwadkar, Archana, additional, Holden, Simon, additional, Holder, Muriel, additional, Holder, Susan, additional, Hu, Fengyuan, additional, Huis in’t Veld, Anna, additional, Huissoon, Aarnoud, additional, Humbert, Marc, additional, Hurst, Jane, additional, James, Roger, additional, Jolles, Stephen, additional, Josifova, Dragana, additional, Kazmi, Rashid, additional, Keeling, David, additional, Kelleher, Peter, additional, Kelly, Anne M., additional, Kennedy, Fiona, additional, Kiely, David, additional, Kingston, Nathalie, additional, Koziell, Ania, additional, Krishnakumar, Deepa, additional, Kuijpers, Taco W., additional, Kuijpers, Taco, additional, Kumararatne, Dinakantha, additional, Kurian, Manju, additional, Laffan, Michael A., additional, Lambert, Michele P., additional, Allen, Hana Lango, additional, Lango-Allen, Hana, additional, Lawrie, Allan, additional, Lear, Sara, additional, Lees, Melissa, additional, Lentaigne, Claire, additional, Liesner, Ri, additional, Linger, Rachel, additional, Longhurst, Hilary, additional, Lorenzo, Lorena, additional, Louka, Eleni, additional, Machado, Rajiv, additional, Ross, Rob Mackenzie, additional, MacLaren, Robert, additional, Maher, Eamonn, additional, Maimaris, Jesmeen, additional, Mangles, Sarah, additional, Manson, Ania, additional, Markus, Hugh S., additional, Martin, Jennifer, additional, Masati, Larahmie, additional, Mathias, Mary, additional, Matser, Vera, additional, Maw, Anna, additional, McDermott, Elizabeth, additional, McJannet, Coleen, additional, Meacham, Stuart, additional, Meehan, Sharon, additional, Mehta, Sarju, additional, Michaelides, Michel, additional, Millar, Carolyn M., additional, Moledina, Shahin, additional, Moore, Anthony, additional, Morrell, Nicholas, additional, Mumford, Andrew, additional, Murng, Sai, additional, Murphy, Elaine, additional, Nejentsev, Sergey, additional, Noorani, Sadia, additional, Nurden, Paquita, additional, Oksenhendler, Eric, additional, Othman, Shokri, additional, Ouwehand, Willem H., additional, Papadia, Sofia, additional, Parker, Alasdair, additional, Pasi, John, additional, Patch, Chris, additional, Payne, Jeanette, additional, Peacock, Andrew, additional, Peerlinck, Kathelijne, additional, Penkett, Christopher J., additional, Pepke-Zaba, Joanna, additional, Perry, David, additional, Perry, David J., additional, Pollock, Val, additional, Polwarth, Gary, additional, Ponsford, Mark, additional, Qasim, Waseem, additional, Quinti, Isabella, additional, Rankin, Stuart, additional, Rankin, Julia, additional, Raymond, F. Lucy, additional, Rayner-Matthews, Paula, additional, Rehnstrom, Karola, additional, Reid, Evan, additional, Rhodes, Christopher J., additional, Richards, Michael, additional, Richardson, Sylvia, additional, Richter, Alex, additional, Roberts, Irene, additional, Rondina, Matthew, additional, Rosser, Elisabeth, additional, Roughley, Catherine, additional, Roy, Noémi, additional, Rue-Albrecht, Kevin, additional, Samarghitean, Crina, additional, Sanchis-Juan, Alba, additional, Sandford, Richard, additional, Santra, Saikat, additional, Sargur, Ravishankar, additional, Savic, Sinisa, additional, Schotte, Gwen, additional, Schulman, Sol, additional, Schulze, Harald, additional, Scott, Richard, additional, Scully, Marie, additional, Seneviratne, Suranjith, additional, Sewell, Carrock, additional, Shamardina, Olga, additional, Shipley, Debbie, additional, Simeoni, Ilenia, additional, Sivapalaratnam, Suthesh, additional, Smith, Kenneth G.C., additional, Sohal, Aman, additional, Southgate, Laura, additional, Staines, Simon, additional, Staples, Emily, additional, Stark, Hannah, additional, Stauss, Hans, additional, Stein, Penelope, additional, Stock, Sophie, additional, Suntharalingam, Jay, additional, Talks, Kate, additional, Tan, Yvonne, additional, Thachil, Jecko, additional, Thaventhiran, James, additional, Thomas, Ellen, additional, Thomas, Moira, additional, Thompson, Dorothy, additional, Thrasher, Adrian, additional, Tischkowitz, Marc, additional, Titterton, Catherine, additional, Toh, Cheng-Hock, additional, Toshner, Mark, additional, Treacy, Carmen, additional, Trembath, Richard, additional, Tuna, Salih, additional, Turek, Wojciech, additional, Turro, Ernest, additional, Van Geet, Chris, additional, Veltman, Marijke, additional, Vogt, Julie, additional, von Ziegenweldt, Julie, additional, Vonk Noordegraaf, Anton, additional, Wakeling, Emma, additional, Wanjiku, Ivy, additional, Warner, Timothy Q., additional, Wassmer, Evangeline, additional, Watkins, Hugh, additional, Watt, Christopher, additional, Webster, ndrew, additional, Welch, Steve, additional, Westbury, Sarah, additional, Wharton, John, additional, Whitehorn, Deborah, additional, Wilkins, Martin, additional, Willcocks, Lisa, additional, Williamson, Catherine, additional, Woods, Geoffrey, additional, Woods, Geoff, additional, Wort, John, additional, Yeatman, Nigel, additional, Yong, Patrick, additional, Young, Tim, additional, and Yu, Ping, additional

Published
2018
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49. Serum hepcidin potentially identifies iron deficiency in survivors of critical illness at the time of hospital discharge

Author

Shah, Akshay, primary, Wray, Katherine, additional, James, Timothy, additional, Shine, Brian, additional, Morovat, Reza, additional, Stanworth, Simon, additional, McKechnie, Stuart, additional, Kirkbride, Rachael, additional, Griffith, David M., additional, Walsh, Timothy S., additional, Drakesmith, Hal, additional, and Roy, Noémi, additional

Published
2018
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50. The pathogenesis, diagnosis and management of congenital dyserythropoietic anaemia type I.

Author

Babbs, Christian and Roy, Noémi B. A.

Subjects
*GENETIC testing, *CONGENITAL dyserythropoietic anemia, *PATHOLOGICAL physiology, *MOLECULAR diagnosis, *DISEASE management
Abstract

Summary: Congenital dyserythropoietic anaemia type I (CDA‐I) is one of a heterogeneous group of inherited anaemias characterised by ineffective erythropoiesis. CDA‐I is caused by bi‐allelic mutations in either CDAN1 or C15orf41 and, to date, 56 causative mutations have been documented. The diagnostic pathway is reviewed and the utility of genetic testing in reducing the time taken to reach an accurate molecular diagnosis and avoiding bone marrow aspiration, where possible, is described. The management of CDA‐I patients is discussed, highlighting both general and specific measures which impact on disease progression. The use of interferon alpha and careful management of iron overload are reviewed and suggest the most favourable outcomes are achieved when CDA‐I patients are managed with a holistic and multidisciplinary approach. Finally, the current understanding of the molecular and cellular pathogenesis of CDA‐I is presented, highlighting critical questions likely to lead to improved therapy for this disease. [ABSTRACT FROM AUTHOR]

Published
2019
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