BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20250506T143840EDT-4059ap0LF5@132.216.98.100 DTSTAMP:20250506T183840Z DESCRIPTION:'Human somatic evolution: cancer and otherwise'\n\nQuaid Morris \, University of Toronto\n Tuesday October 8\, 12-1pm\n McIntyre Medical Bui lding\, room 1034\n\nAbstract: There are 10 trillion mutated copies of you r genome in your body\; a thousand times more copies than humans who have ever lived. Each of these somatic genomes\, if you are as old as I am\, ca rries between 50 and 50\,000 somatic DNA mutations. In contrast\, each new human is born with only about 50 germline mutations. So\, there are betwe en a thousand and a million times more somatic mutations events occurring in your body\, in your lifetime\, than have ever occurred in the human ger mline. And unlike humans\, who have an exponentially expanding population\ ; you have a fixed number of cells that are in constant competition for re sources.\n\nCancer is a tragic\, but common\, result of this massive-scale experiment in human genome evolution. A handful of the 1000s of somatic m utations in cancerous and pre-cancerous cells are “driver” mutations that bestow fitness advantages that cause selective sweeps that drastically inc rease the frequency of mutated cells. These sweeps also increase the frequ ency of “passenger” mutations accumulated since the last such sweep. These latter mutations have little impact on cell function but provide informat ion about the mutational processes that generated them. Both their type (i .e.\, A to C) and genomic locations depend not only what caused the mutati on -- e.g.\, UV light – but also the chromatin state of the cell that acqu ired them. I will describe our work developing methods to classify somatic mutations into different ‘subclones’ that correspond to different sweeps. Our methods also use phylogenetic approaches to determine the relative or der in which the sweeps occurred. We have also developed methods to interp ret this historical record of the cancer. Specifically\, we are attempting to use timed patterns of somatic mutations to reconstruct the historical changes that a normal precursor cell underwent during its transformation i nto a cancerous cell. We also study pre-cancerous patterns of somatic evol ution that can be read out of deeply sequenced blood populations. I will a lso briefly describe our preliminary work in using deep neural networks to use these data to infer properties of an individual’s hematopoietic stem cells which cause age-related clonal hematopoiesis.\n DTSTART:20191008T160000Z DTEND:20191008T170000Z LOCATION:Room 1034\, McIntyre Medical Building\, CA\, QC\, Montreal\, H3G 1 Y6\, 3655 promenade Sir William Osler SUMMARY:QLS Seminar Series - Quaid Morris URL:/qls/channels/event/qls-seminar-series-quaid-morri s-301218 END:VEVENT END:VCALENDAR