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UID:MEC-babcff88f8be8c4795bd6f0f8cccca61@datasciences.utoronto.ca
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DTSTAMP:20210929T192407Z
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SUMMARY:STAGE ISSS: Antonis Antoniou
DESCRIPTION:Join us for the next instalment of the STAGE International Speaker Seminar Series (ISSS) with\nDr. Antonis Antoniou\nProfessor of Cancer Risk PredictionAcademic Course Director MPhil in EpidemiologyDepartment of Public Health and Primary Care\nTalk Title:TBD\nAbstract:\nTBD\nSpeaker Profile:\nProfessor Antoniou currently leads a research team within the Department of Public Health and Primary Care at University of Cambridge and he is the Academic Course Director for the MPhil in Epidemiology. Professor Antoniou’s research focuses on the development and application of statistical methods, and the coordination of large-scale collaborative studies, to characterize cancer susceptibility genes; and the development of cancer risk prediction tools for use in clinical practice.\nBy developing novel statistical techniques for modelling disease susceptibility within families, he derived breast and ovarian cancer risks for women with BRCA1 and BRCA2 mutations which have formed the basis for counselling women with mutations. Subsequently, he applied these methods to estimate age-specific breast and ovarian cancer risks for carriers of mutations in other genes, including PALB2, RAD51D and RAD51C. He led the first large scale prospective study of cancer risks for BRCA1 and BRCA2 carriers, demonstrating in a prospective setting that cancer risks for women with BRCA1 and BRCA2 mutations vary by family history of the disease and by the exact mutation location, thus allowing for more individualised risk assessment.\nHe established the co-ordinating centre for the Consortium of Investigators of Modifiers of BRCA1/2, currently holding data on >80,000 BRCA1/2 mutation carriers. His team demonstrated that the combined effects of the common genetic variants (PRS) have direct implication for risk prediction for women and men with BRCA1/2 mutations.\nHe led the development of the multifactorial risk prediction algorithm “BOADICEA” for breast and ovarian cancer using data on rare pathogenic variants in cancer susceptibility genes, polygenic risk scores, lifestyle and hormonal risk factors and family history. BOADICEA has been incorporated in national and international clinical management guidelines and has been implemented in the free-access CanRisk ( http://www.canrisk.org/ ) tool which allows health professionals to obtain future cancer risks easily.\nSponsors\nCANSSI Ontario STAGE (STAGE) is a training program in genetic epidemiology and statistical genetics, housed at the University of Toronto Dalla Lana School of Public Health, and funded by CANSSI Ontario at U of T, an extra-departmental unit in the Faculty of Arts & Science that is home to the Ontario Regional Centre of the Canadian Statistical Sciences Institute (CANSSI).\nSeminars are sponsored by The Hospital for Sick Children, the Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, the Ontario Institute for Cancer Research, the McLaughlin Centre of the University of Toronto, the Centre for Addiction and Mental Health, and the Ontario Cancer Institute of the University Health Network.\nPhotography Disclosure:\nPhotographs and/or video may be taken of participants at STAGE events. These photos/videos are for the Program’s use only and may appear on its website, in printed brochures, or in other promotional or reporting materials. By attending STAGE events, you accept the possibility that you may be videotaped or photographed. If you have any concerns, please inform us by sending an e-mail to esther.berzunza@utoronto.ca\n
URL:https://datasciences.utoronto.ca/event/stage-isss-antonis-antoniou/
ORGANIZER;CN=Esther Berzunza:MAILTO:esther.berzunza@utoronto.ca
CATEGORIES:CANSSI Ontario STAGE ISSS
LOCATION:Online
ATTACH;FMTTYPE=image/png:https://datasciences.utoronto.ca/wp-content/uploads/2021/09/Antoniou-Antonis.png
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