Tag: Genetics

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SNPnexus: Assessing the impact of genetic variation

30th August 2018

A team of researchers from BCI’s Centre for Molecular Oncology, led by Prof Claude Chelala, have made new developments to SNPnexus- a computational tool that allows for the assessment of the functional effect of sequence variants within the genome.

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Research explainer: Mis-segregation of human chromosomes

13th June 2018

Dr Sarah McClelland from Barts Cancer Institute, Queen Mary University of London, has recently published new research in the journal Cell Reports revealing new insights into why cell division can sometimes go wrong.

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Forecasting the evolution of cancer

28th May 2018

New research, published today in Nature Genetics, has developed a computer model that forecasts the changes that occur within tumours as they develop. In the future, it is hoped that such a model may enable the prediction of the trajectory of tumour growth in patients, allowing clinicians to pre-empt disease course and tailor treatment regimens accordingly.

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Fellows inaugurated at new Rutherford Academy of Population Genomics and Health Data Science

16th May 2018

Queen Mary University of London has appointed four research fellows to its new Rutherford Academy of Population Genomics and Health Data Science, funded by the Medical Research Council and UK Research and Innovation’s Rutherford Fund. Two of the fellows include BCI’s Dr Kit Curtius and Dr Dayem Ullah.

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London Pancreas Workshop 2018

11th May 2018

On Friday 4th May, BCI hosted the seventh London Pancreas Workshop, co-organised by Prof Hemant Kocher and our Director Prof Nick Lemoine, which attracted delegates from across Europe and America, with over 140 attendees in total. The biennial event is recognised as a forum for state-of-the-art clinical and basic research in pancreatic cancer.

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Follicular lymphoma marked by spatial tumour heterogeneity

23rd March 2018

A research team at the BCI, Queen Mary University of London, led by Dr Jessica Okosun, Centre for Haemato-Oncology, has found that tumours at different sites within the same patient with follicular lymphoma can be genetically diverse. This suggests that a sole biopsy is incapable of capturing all the genetic events in any given individual and presents a significant challenge when providing targeted therapies to treat this disease.

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