Mathematical Biology Seminar
Thursday, February 4, 2021, 12:00pm, Virtual
Trevor Graham (Barts Center Institute, Queen Mary University of London, Centre for Genomics and Computational Biology)
Inferring the dynamics of cancer evolution with genomics and population genetics
Abstract:
As tumours grow, each cell within the tumour independently accumulates new mutations. The pattern genetic heterogeneity between tumour cells (intra-tumour heterogeneity - ITH) is read out of the evolutionary dynamics of cancer growth. Here I will discuss our work to mathematically model ITH and parameterise these models using genomic data. We show how positive, negative and neutral selection the shapes pattern of ITH and report the frequency of these evolutionary patterns across cancer types. We explore the influence of spatial processes on the detectability of evolutionary dynamics.

References:
https://www.nature.com/articles/s41588-020-0687-1
https://www.nature.com/articles/s41588-020-0675-5
https://elifesciences.org/articles/48714
https://www.nature.com/articles/s41588-020-0675-5
https://www.nature.com/articles/s41588-018-0128-6
https://www.nature.com/articles/ng.3489
Recent review: https://www.annualreviews.org/doi/10.1146/annurev-genom-083117-021712

Email ciocanel@math.duke.edu to request the Zoom link and password for the talk (or subscribe to announcements at https://lists.duke.edu/sympa/info/mathbio-seminar).

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