Ailsa R Butler
BSc DPhil
Systematic Reviewer
I am working with the Health Behaviours team in the Nuffield Department of Primary Care Health Sciences. I am working on a large evidence synthesis collating information from randomised controlled trials to explore and evaluate the long-term outcomes of behavioural weight management programmes in terms of weight regain and associated health outcomes. This project is funded by the British Heart Foundation and the National Institute for Health Research Oxford Biomedical Research Centre.
My background is in epidemiology, infectious disease modelling and public health policy. I have a DPhil in epidemiology, my thesis explored childhood vaccination schedules and used data to validate the use of mathematical models in this process. I worked Parliament for the All-Party Parliamentary Group on HIV/AIDS, in this role I linked medical and epidemiological research and information and the views experiences of the voluntary sector to Parliamentarians. As a Post-Doc at Imperial College I worked on a project to explore the effect of a proposed link between injectable hormonal contraception and susceptibility to HIV acquisition. While at Imperial College I have worked on systematic reviews on health behaviour linked to HIV spread and on time spent in different HIV stages.
Recent publications
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Functional linkage of gene fusions to cancer cell fitness assessed by pharmacological and CRISPR-Cas9 screening
Journal article
Picco G. et al, (2019), Nature Communications, 10
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Partially methylated domains are hypervariable in breast cancer and fuel widespread CpG island hypermethylation
Journal article
Brinkman AB. et al, (2019), Nature Communications, 10
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Integration of transcriptional and mutational data simplifies the stratification of peripheral T-cell lymphoma
Journal article
Maura F. et al, (2019), American Journal of Hematology, 94, 628 - 634
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The circular RNome of primary breast cancer
Journal article
Smid M. et al, (2019), Genome Research, 29, 356 - 366
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Correction to: Landscape of somatic mutations in 560 breast cancer whole-genome sequences (Nature, (2016), 534, 7605, (47-54), 10.1038/nature17676)
Journal article
Nik-Zainal S. et al, (2019), Nature, 566