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Simon Tavaré - The genealogy of branching processes and the reconstruction of tumor histories



SIMON TAVARÉ, Department of Mathematics, University of Southern California, Los Angeles, California  90089-1113, USA
The genealogy of branching processes and the reconstruction of tumor histories


Genealogical approaches have found many applications in population genetics, where the coalescent has played a crucial role in understanding molecular variability in natural populations. Related methods are also proving useful for the study of mitotic division processes. We have been using a quantitative analysis of microsatellite mutations in colorectal tumors to infer their histories, and to shed light on the likely nature of the adenoma-carcinoma sequence. The main tool we use is an algorithm for generating the genealogy of a sample of cells evolving according to a discrete time (possibly non-Markovian, time-inhomogeneous) branching process. A number of applications, including estimation of the age of a tumor and generalizations to multitype processes, will be discussed.


next up previous
Next: E. A. Thompson - Up: Mathematical Genetics and Genomics Previous: Katy L. Simonsen -