9 research outputs found

    An open-source python library for detection of known and novel Kell, Duffy and Kidd variants from exome sequencing

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    Background and objectives: Next generation sequencing (NGS) has promising applications in transfusion medicine. Exome sequencing (ES) is increasingly used in the clinical setting, and blood group interpretation is an additional value that could be extracted from existing data sets. We provide the first release of an open-source software tailored for this purpose and describe its validation with three blood group systems. Materials and methods: The DTM-Tools algorithm was designed and used to analyse 1018 ES NGS files from the ClinSeq® cohort. Predictions were correlated with serology for 5 antigens in a subset of 108 blood samples. Discrepancies were investigated with alternative phenotyping and genotyping methods, including a long-read NGS platform. Results: Of 116 genomic variants queried, those corresponding to 18 known KEL, FY and JK alleles were identified in this cohort. 596 additional exonic variants were identified KEL, ACKR1 and SLC14A1, including 58 predicted frameshifts. Software predictions were validated by serology in 108 participants; one case in the FY blood group and three cases in the JK blood group were discrepant. Investigation revealed that these discrepancies resulted from (1) clerical error, (2) serologic failure to detect weak antigenic expression and (3) a frameshift variant absent in blood group databases. Conclusion: DTM-Tools can be employed for rapid Kell, Duffy and Kidd blood group antigen prediction from existing ES data sets; for discrepancies detected in the validation data set, software predictions proved accurate. DTM-Tools is open-source and in continuous development. © 2020 International Society of Blood Transfusio

    Making an IMPACT: A priority setting consultation exercise to improve outcomes in patients with locally advanced, recurrent and metastatic colorectal cancer

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    Aim: The IMPACT (Improving the Management of Patients with Advanced Colorectal Tumours) initiative was established by the Association of Coloproctology of Great Britain and Ireland in 2017 as a consortium of surgeons (colorectal, hepatobiliary, thoracic), oncologists, radiologists, pathologists, palliative care physicians, patients, carers and charity stakeholders who will work together to improve outcomes in patients with advanced and metastatic colorectal cancer. To establish this initiative, better information is required to establish how further intervention is focused. This paper details the approaches used, and outcomes generated, from a priority setting exercise to inform the design of the IMPACT initiative. Methods: A mixed method approach was employed to set the priorities of patients, clinicians and other key stakeholders in the delivery of optimal care. This consisted of two patient centered consultation events and a questionnaire. Results: A total of 128 participants took part in the consultation exercise; 15 patients, 5 carers/family members, 5 charity representatives and 113 healthcare professionals. Nine key themes for focus were identified, these were: current service provision, specialist services, communication, education, access to care, definitions and standardisation, research and audit, outcome measures, and funding of specialist care. Conclusion: These future priorities will be developed with collaborative engagement in a systematic manner to produce an overall cohesive programme which will deliver a sustainable and efficient clinical and academic service to improving the management of patients with advanced colorectal tumours
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