BEGIN:VCALENDAR
VERSION:2.0
METHOD:PUBLISH
CALSCALE:GREGORIAN
PRODID:-//WordPress - MECv6.8.15//EN
X-ORIGINAL-URL:https://stage.utoronto.ca/
X-WR-CALNAME:CANSSI Ontario STAGE
X-WR-CALDESC:
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-PUBLISHED-TTL:PT1H
X-MS-OLK-FORCEINSPECTOROPEN:TRUE
BEGIN:VEVENT
CLASS:PUBLIC
UID:MEC-0dfd8a39e2a5dd536c185e19a804a73b@stage.utoronto.ca
DTSTART:20240503T160000Z
DTEND:20240503T170000Z
DTSTAMP:20230411T182500Z
CREATED:20230411
LAST-MODIFIED:20260316
PRIORITY:5
SEQUENCE:24
TRANSP:OPAQUE
SUMMARY:STAGE ISSS: Li Hsu
DESCRIPTION:\nJoin us for the next instalment of the STAGE International Speaker Seminar Series (ISSS) with\n\n\n\nLi Hsu, PhD\n\n\n\nAffiliate Professor, BiostatisticsMember, Public Health Sciences Division, Fred Hutchinson Cancer Research CenterFree Hybrid (In person/Online) Event | Registration Required\n\n\n\nTalk Title:\n\n\n\nAdvancing Cancer Risk Prediction across Diverse Populations: Polygenic Risk Scores and Beyond \n\n\n\nAbstract:\n\n\n\nPredicting the risk of developing cancer is of significant interest in clinical practice. In the last decades, a vast amount of data on epidemiological and especially, genome-wide genotypes, have been amassed, providing valuable opportunities to improve risk prediction. In this talk, I will address two topics. Firstly, I will discuss our efforts to develop polygenic risk score (PRS) based on genome-wide genetic data to predict colorectal cancer risk across diverse populations. This research underscores the need to include non-European ancestry to improve risk prediction and promote equity in the clinical application of PRS. Secondly, when a prediction model developed within one cohort is applied to others, discrepancies between cohorts can lead to the model under- or over-estimating the risk in the target population. I will introduce a weighted estimating equation approach for recalibrating the projected risk in the targeted population by adjusting the baseline risk, leveraging the knowledge and summary information of overall disease rate and risk factors from the target population. I demonstrate our works through applications to the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), as well as several large-scale, population-based cohorts. \n\n\n\nSpeaker Profile:\n\n\n\nLi Hsu, PhD, is a Professor in the Biostatistics Program at the Fred Hutchinson Cancer Center and an Affiliate Professor of Biostatistics at the University of Washington. She actively develops statistical methods and engages in collaborative research in observational studies of cancer and other chronic diseases, with a focus on the analysis of genetic, molecular epidemiological data and survival outcomes. Her specific areas of interest include absolute risk estimation and risk prediction, genome-wide association studies, gene-environment interaction studies involving common and rare variants, and the integration of diverse data sets. Additionally, she is interested in evaluating the performance of risk prediction models and the cost-effectiveness of screening strategies in large-scale cohorts and real-world settings. As the lead biostatistician of the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), the largest consortium for colorectal cancer, she has been leading the efforts in developing and evaluating genome-wide risk prediction models for colorectal cancer in diverse populations. Dr. Hsu holds the Ross L. Prentice Professorship at the University of Washington and is an elected Fellow of the American Statistical Association. \n\n\n\nSponsors:\n\n\n\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. It operates with financial and in-kind support from CANSSI Ontario, an extra-departmental unit in the Faculty of Arts & Science at U of T.\n\n\n\nSTAGE would like to thank our generous seminar sponsors!For a complete list of sponsors, please see here ( https://stage.utoronto.ca/sponsors/ ).\n\n\n\nPhotography Disclosure:\n\n\n\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://stage.utoronto.ca/events/stage-isss-li-hsu/
ORGANIZER;CN=CANSSI Ontario:MAILTO:esther.berzunza@utoronto.ca
CATEGORIES:CANSSI Ontario STAGE ISSS
LOCATION:9th Floor, 700 University Avenue, Toronto, ON M5G 1Z5
ATTACH;FMTTYPE=image/png:https://stage.utoronto.ca/wp-content/uploads/2023/04/li-hsu-e1701975834635.png
END:VEVENT
END:VCALENDAR